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Michael McAleer

(deceased)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2015. "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Tinbergen Institute Discussion Papers 15-125/III, Tinbergen Institute.

    Mentioned in:

    1. End-of-Year Reading
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2015-12-23 01:57:00
  2. Chang, Chia-Lin & Franses, Philip Hans & McAleer, Michael, 2013. "Are Forecast Updates Progressive?," MPRA Paper 46387, University Library of Munich, Germany.

    Mentioned in:

    1. What Have You Been Reading?
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2013-06-12 00:47:00
  3. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2012. "Evaluating Macroeconomic Forecasts: A Concise Review of Some Recent Developments," Documentos de Trabajo del ICAE 2012-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Mentioned in:

    1. What I Learned Last Week
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2012-10-13 09:19:00
  4. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "What Makes a Great Journal Great in Economics? The Singer Not the Song," Working Papers in Economics 10/43, University of Canterbury, Department of Economics and Finance.

    Mentioned in:

    1. What makes a great journal in Economics?
      by Economic Logician in Economic Logic on 2010-08-13 19:12:00
  5. Michael McAleer & Les Oxley, 2005. "The Ten Commandments for Academics," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 823-826, December.

    Mentioned in:

    1. How to publish prolifically
      by Economic Logician in Economic Logic on 2011-09-24 19:54:00
  6. Author Profile
    1. How to publish prolifically
      by Economic Logician in Economic Logic on 2011-09-24 19:54:00

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Massimiliano Caporin & Michael McAleer, 2009. "A Scientific Classification of Volatility Models," Documentos de Trabajo del ICAE 2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Mentioned in:

    1. > Schools of Economic Thought, Epistemology of Economics > Heterodox Approaches > Thermoeconomics > The economy system as a living organism
  2. Christine Lim & Michael McAleer, 2001. "Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1599-1619.

    Mentioned in:

    1. > Industrial Organization > Industry studies > Sports, recreation and tourism > Tourism

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Felix Chan & Michael McAleer, 2002. "Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 509-534.

    Mentioned in:

    1. Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence (Journal of Applied Econometrics 2002) in ReplicationWiki ()

Working papers

  1. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "Forecasting Volatility and Co-volatility of Crude Oil and Gold Futures: Effects of Leverage, Jumps, Spillovers, and Geopolitical Risks," Working Papers 201951, University of Pretoria, Department of Economics.

    Cited by:

    1. Wang, Xiao-Qing & Wu, Tong & Zhong, Huaming & Su, Chi-Wei, 2023. "Bubble behaviors in nickel price: What roles do geopolitical risk and speculation play?," Resources Policy, Elsevier, vol. 83(C).
    2. Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
    3. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).
    4. Li, Junhui & Sajid, Bilal & Raza, Hamid, 2025. "Navigating the path to sustainable development: China's revolution in renewable energy through technological innovation and geopolitical risk management," Renewable Energy, Elsevier, vol. 244(C).
    5. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta, 2021. "Oil Tail Risks and the Forecastability of the Realized Variance of Oil-Price: Evidence from Over 150 Years of Data," Working Papers 202146, University of Pretoria, Department of Economics.
    6. Polat, Onur & Somani, Dhanashree & Gupta, Rangan & Karmakar, Sayar, 2025. "Shortages and machine-learning forecasting of oil returns volatility: 1900–2024," Finance Research Letters, Elsevier, vol. 79(C).
    7. Zheng, Jinlin & Wen, Baoyu & Jiang, Yaohui & Wang, Xiaohan & Shen, Yue, 2023. "Risk spillovers across geopolitical risk and global financial markets," Energy Economics, Elsevier, vol. 127(PA).
    8. Xiafei Li & Dongxin Li & Xuhui Zhang & Guiwu Wei & Lan Bai & Yu Wei, 2021. "Forecasting regular and extreme gold price volatility: The roles of asymmetry, extreme event, and jump," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1501-1523, December.
    9. Asai Manabu & So Mike K. P., 2023. "Realized BEKK-CAW Models," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 49-77, January.
    10. Le, Thanh Ha, 2023. "Quantile time-frequency connectedness between cryptocurrency volatility and renewable energy volatility during the COVID-19 pandemic and Ukraine-Russia conflicts," Renewable Energy, Elsevier, vol. 202(C), pages 613-625.
    11. Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021. "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers 202133, University of Pretoria, Department of Economics.
    12. Nonejad, Nima, 2022. "Forecasting crude oil price volatility out-of-sample using news-based geopolitical risk index: What forms of nonlinearity help improve forecast accuracy the most?," Finance Research Letters, Elsevier, vol. 46(PA).
    13. Li, Yingli & Huang, Jianbai & Chen, Jinyu, 2021. "Dynamic spillovers of geopolitical risks and gold prices: New evidence from 18 emerging economies," Resources Policy, Elsevier, vol. 70(C).
    14. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    15. Gupta, Rangan & Nielsen, Joshua & Pierdzioch, Christian, 2024. "Stock market bubbles and the realized volatility of oil price returns," Energy Economics, Elsevier, vol. 132(C).
    16. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.
    17. Rangan Gupta & Christian Pierdzioch, 2024. "Multi-Task Forecasting of the Realized Volatilities of Agricultural Commodity Prices," Working Papers 202423, University of Pretoria, Department of Economics.
    18. Shahbaz, Muhammad & Khan, Asad ul Islam & Mubarak, Muhammad Shujaat, 2023. "Roling-window bounds testing approach to analyze the relationship between oil prices and metal prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 388-395.
    19. Long, Shaobo & Guo, Jiaqi, 2022. "Infectious disease equity market volatility, geopolitical risk, speculation, and commodity returns: Comparative analysis of five epidemic outbreaks," Research in International Business and Finance, Elsevier, vol. 62(C).
    20. Ngo, Vu Minh & Nguyen, Phuc Van & Hoang, Yen Hai, 2024. "The impacts of geopolitical risks on gold, oil and financial reserve management," Resources Policy, Elsevier, vol. 90(C).
    21. Wang, Zhe & Teng, Yin-Pei & Wu, Shuzhao & Liu, Yuxiang & Liu, Xianchang, 2023. "Geopolitical risk, financial system and natural resources extraction: Evidence from China," Resources Policy, Elsevier, vol. 82(C).
    22. Niu, Zibo & Ma, Feng & Zhang, Hongwei, 2022. "The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic," Energy Economics, Elsevier, vol. 112(C).
    23. Yanqiong Liu & Zhenghui Li & Yanyan Yao & Hao Dong, 2021. "Asymmetry of Risk Evolution in Crude Oil Market: From the Perspective of Dual Attributes of Oil," Energies, MDPI, vol. 14(13), pages 1-22, July.
    24. Sun, Guanglin & Li, Jianfeng & Shang, Zezhong, 2022. "Return and volatility linkages between international energy markets and Chinese commodity market," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    25. S, Aiswarya & Muralikrishna, Muthumeenakshi, . "Time-frequency analysis of geopolitical risk and food commodity market: a wavelet based investigation," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 11(2).
    26. Xie, Qichang & Bi, Yanhao & Xi, Yiyu & Xu, Xin, 2025. "The impact of geopolitical risk on higher-order moment risk spillovers in global energy markets," Energy Economics, Elsevier, vol. 144(C).
    27. Balcilar, Mehmet & Gupta, Rangan & Nel, Jacobus, 2022. "Rare disaster risks and gold over 700 years: Evidence from nonparametric quantile regressions," Resources Policy, Elsevier, vol. 79(C).
    28. Rangan Gupta & Sayar Karmakar & Christian Pierdzioch, 2022. "Safe Havens, Machine Learning, and the Sources of Geopolitical Risk: A Forecasting Analysis Using Over a Century of Data," Working Papers 202201, University of Pretoria, Department of Economics.
    29. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    30. Vo, Duc Hong & Tran, Minh Phuoc-Bao, 2024. "Volatility spillovers between energy and agriculture markets during the ongoing food & energy crisis: Does uncertainty from the Russo-Ukrainian conflict matter?," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    31. Zhang, Jilu & Guxue, Kaicheng, 2024. "Fostering sustainability: Exploring natural resources, mineral resources, and their impact on carbon reduction, economic growth," Resources Policy, Elsevier, vol. 92(C).
    32. Thanoj K. Muddana & Komal S.R. Bhimireddy & Anandamayee Majumdar & Rangan Gupta, 2024. "Forecasting Gold Returns Volatility Over 1258-2023: The Role of Moments," Working Papers 202421, University of Pretoria, Department of Economics.
    33. Berlinger, Edina & Bihary, Zsolt & Dömötör, Barbara, 2024. "Dynamic margin optimization," Finance Research Letters, Elsevier, vol. 68(C).
    34. Yang, Cai & Niu, Zibo & Gao, Wang, 2022. "The time-varying effects of trade policy uncertainty and geopolitical risks shocks on the commodity market prices: Evidence from the TVP-VAR-SV approach," Resources Policy, Elsevier, vol. 76(C).
    35. Afees A. Salisu & Christian Pierdzioch & Rangan Gupta, 2021. "Geopolitical Risk and Forecastability of Tail Risk in the Oil Market: Evidence from Over a Century of Monthly Data," Working Papers 202122, University of Pretoria, Department of Economics.
    36. Foglia, Matteo & Palomba, Giulio & Tedeschi, Marco, 2023. "Disentangling the geopolitical risk and its effects on commodities. Evidence from a panel of G8 countries," Resources Policy, Elsevier, vol. 85(PB).
    37. Usha Rekha Chinthapalli, 2021. "A Comparative Analysis on Probability of Volatility Clusters on Cryptocurrencies, and FOREX Currencies," JRFM, MDPI, vol. 14(7), pages 1-23, July.
    38. O-Chia Chuang & Rangan Gupta & Christian Pierdzioch & Buliao Shu, 2024. "Financial Uncertainty and Gold Market Volatility: Evidence from a GARCH-MIDAS Approach with Variable Selection," Working Papers 202441, University of Pretoria, Department of Economics.
    39. Nikitopoulos, Christina Sklibosios & Thomas, Alice Carole & Wang, Jianxin, 2023. "The economic impact of daily volatility persistence on energy markets," Journal of Commodity Markets, Elsevier, vol. 30(C).
    40. Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
    41. Luo, Keyu & Guo, Qiang & Li, Xiafei, 2022. "Can the return connectedness indices from grey energy to natural gas help to forecast the natural gas returns?," Energy Economics, Elsevier, vol. 109(C).
    42. Qin, Yun & Hong, Kairong & Chen, Jinyu & Zhang, Zitao, 2020. "Asymmetric effects of geopolitical risks on energy returns and volatility under different market conditions," Energy Economics, Elsevier, vol. 90(C).
    43. Ahdi Noomen Ajmi & Roula Inglesi-Lotz, 2021. "Revisiting the Kuznets Curve Hypothesis for Tunisia: Carbon Dioxide vs. Ecological Footprint," Working Papers 202171, University of Pretoria, Department of Economics.
    44. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    45. Tamilselvan, M. & Halder, Abhishek & Kannadhasan, M., 2024. "Exploring the ingredients, mixtures, and inclinations of geopolitical risk," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 187-206.
    46. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    47. Li, Xiaoqian & Ma, Xiaoqi, 2023. "Jumps and gold futures volatility prediction," Finance Research Letters, Elsevier, vol. 58(PC).
    48. Ignatieva, Katja & Wong, Patrick, 2024. "Empirical analysis of crude oil dynamics using affine vs. non-affine jump-diffusion models," Journal of Empirical Finance, Elsevier, vol. 78(C).
    49. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    50. Chatziantoniou, Ioannis & Gabauer, David & Perez de Gracia, Fernando, 2022. "Tail risk connectedness in the refined petroleum market: A first look at the impact of the COVID-19 pandemic," Energy Economics, Elsevier, vol. 111(C).
    51. Mengxi He & Yaojie Zhang & Yudong Wang & Danyan Wen, 2024. "Modelling and forecasting crude oil price volatility with climate policy uncertainty," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    52. Ding, Qian & Huang, Jianbai & Zhang, Hongwei, 2021. "The time-varying effects of financial and geopolitical uncertainties on commodity market dynamics: A TVP-SVAR-SV analysis," Resources Policy, Elsevier, vol. 72(C).
    53. Du, Pei & Guo, Ju’e & Sun, Shaolong & Wang, Shouyang & Wu, Jing, 2021. "Multi-step metal prices forecasting based on a data preprocessing method and an optimized extreme learning machine by marine predators algorithm," Resources Policy, Elsevier, vol. 74(C).
    54. Jiawen Luo & Shengjie Fu & Oguzhan Cepni & Rangan Gupta, 2025. "The Role of Uncertainty in Forecasting Realized Covariance of US State-Level Stock Returns: A Reverse-MIDAS Approach," Working Papers 202501, University of Pretoria, Department of Economics.
    55. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    56. Mo, Bin & Nie, He & Zhao, Rongjie, 2024. "Dynamic nonlinear effects of geopolitical risks on commodities: Fresh evidence from quantile methods," Energy, Elsevier, vol. 288(C).
    57. Abid, Ilyes & Dhaoui, Abderrazak & Kaabia, Olfa & Tarchella, Salma, 2023. "Geopolitical risk on energy, agriculture, livestock, precious and industrial metals: New insights from a Markov Switching model," Resources Policy, Elsevier, vol. 85(PA).
    58. Cheng, Sheng & Deng, MingJie & Liang, Ruibin & Cao, Yan, 2023. "Asymmetric volatility spillover among global oil, gold, and Chinese sectors in the presence of major emergencies," Resources Policy, Elsevier, vol. 82(C).
    59. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    60. Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility," Resources Policy, Elsevier, vol. 79(C).
    61. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
    62. Gupta, Rangan & Pierdzioch, Christian, 2022. "Climate risks and forecastability of the realized volatility of gold and other metal prices," Resources Policy, Elsevier, vol. 77(C).
    63. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    64. Yan Ding & Yue Liu & Pierre Failler, 2022. "The Impact of Uncertainties on Crude Oil Prices: Based on a Quantile-on-Quantile Method," Energies, MDPI, vol. 15(10), pages 1-35, May.
    65. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    66. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    67. Zixin Liu & Shuguang Zhang, 2024. "RETRACTED ARTICLE: How does environmental performance ensured energy transition? Impact of ecological change," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-27, April.
    68. Lai, Fujun & Wang, Fuxiang & Li, Yunzhong & Shum, Wai Yan, 2025. "Global geopolitical risk and stock price informativeness," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 2279-2297.
    69. Choi, Sun-Yong, 2022. "Evidence from a multiple and partial wavelet analysis on the impact of geopolitical concerns on stock markets in North-East Asian countries," Finance Research Letters, Elsevier, vol. 46(PB).
    70. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    71. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
    72. Hugo Gobato Souto & Amir Moradi, 2026. "Enhancing financial risk management: a novel multivariate neural network approach for realized covariance matrix prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-26, December.
    73. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    74. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    75. Bouri, Elie & Gupta, Rangan & Nel, Jacobus & Shiba, Sisa, 2022. "Contagious diseases and gold: Over 700 years of evidence from quantile regressions," Finance Research Letters, Elsevier, vol. 50(C).
    76. Zhang, Jialin & Shi, Shaodong, 2023. "Extraction of natural resources and geopolitical risk revisited: A novel perspective of research and development with financial development," Resources Policy, Elsevier, vol. 85(PA).
    77. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Energies, MDPI, vol. 14(23), pages 1-18, December.
    78. Zhang, Li & Wang, Lu & Peng, Lijuan & Luo, Keyu, 2023. "Measuring the response of clean energy stock price volatility to extreme shocks," Renewable Energy, Elsevier, vol. 206(C), pages 1289-1300.
    79. Zhuo, Xingxuan & Ye, Jianjiang & Liu, Han & Lin, Feng, 2025. "Analyzing dynamics of crude oil price amid sudden events and intervention measures: Insights from a Prophet-QR model," Applied Energy, Elsevier, vol. 401(PB).
    80. Wang, Lu & Ma, Feng & Hao, Jianyang & Gao, Xinxin, 2021. "Forecasting crude oil volatility with geopolitical risk: Do time-varying switching probabilities play a role?," International Review of Financial Analysis, Elsevier, vol. 76(C).
    81. Song, Yuping & Huang, Jiefei & Zhang, Qichao & Xu, Yang, 2024. "Heterogeneity effect of positive and negative jumps on the realized volatility: Evidence from China," Economic Modelling, Elsevier, vol. 136(C).
    82. Danyan Wen & Mengxi He & Yaojie Zhang & Yudong Wang, 2022. "Forecasting realized volatility of Chinese stock market: A simple but efficient truncated approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 230-251, March.
    83. Rangan Gupta & Christian Pierdzioch, 2023. "Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    84. Zhao, Jing, 2023. "Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system," Resources Policy, Elsevier, vol. 82(C).
    85. Borg, Elin & Kits, Ilya & Junttila, Juha & Uddin, Gazi Salah, 2022. "Dependence between renewable energy related critical metal futures and producer equity markets across varying market conditions," Renewable Energy, Elsevier, vol. 190(C), pages 879-892.
    86. Evrim Mandaci, Pınar & Azimli, Asil & Mandaci, Nazif, 2023. "The impact of geopolitical risks on connectedness among natural resource commodities: A quantile vector autoregressive approach," Resources Policy, Elsevier, vol. 85(PA).
    87. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Risk Aversion and the Predictability of Crude Oil Market Volatility: A Forecasting Experiment with Random Forests," Working Papers 201972, University of Pretoria, Department of Economics.
    88. Khan, Nasir & Mejri, Sami & Hammoudeh, Shawkat, 2024. "How do global commodities react to increasing geopolitical risks? New insights into the Russia-Ukraine and Palestine-Israel conflicts," Energy Economics, Elsevier, vol. 138(C).
    89. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021. "El Niño, La Niña, and the Forecastability of the Realized Variance of Heating Oil Price Movements," Sustainability, MDPI, vol. 13(14), pages 1-23, July.

  2. Vo, D.H. & Nguyen, H.M. & Vo, A.T. & McAleer, M.J., 2019. "CO2 Emissions, Energy Consumption and Economic Growth," Econometric Institute Research Papers EI2019-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Huang, Shi-Zheng, 2022. "Do green financing and industrial structure matter for green economic recovery? Fresh empirical insights from Vietnam," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 61-73.
    2. Woraphon Yamaka & Siritaya Lomwanawong & Darin Magel & Paravee Maneejuk, 2022. "Analysis of the Lockdown Effects on the Economy, Environment, and COVID-19 Spread: Lesson Learnt from a Global Pandemic in 2020," IJERPH, MDPI, vol. 19(19), pages 1-21, October.
    3. Arifur Rahman Atiqur Rahman & Mohd Shahidan Shaari & Faiz Masnan & Miguel Angel Esquivias, 2022. "The Impacts of Energy Use, Tourism and Foreign Workers on CO 2 Emissions in Malaysia," Sustainability, MDPI, vol. 14(4), pages 1-14, February.
    4. Reagan Jean Jacques Molu & Wulfran Fendzi Mbasso & Serge Raoul Dzonde Naoussi & Saatong Tsobze Kenfack & Patrice Wira, 2022. "Investigating the Dependency between Electricity and the Human Development Based on Metaheuristic Optimization," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 55-60, September.
    5. Kassim, Fatima & Isik, Abdurrahman, 2020. "Impact of Energy Consumption on Industrial Growth in a Transition Economy: Evidence from Nigeria," MPRA Paper 101757, University Library of Munich, Germany.
    6. Geoffrey Ssebabi Mutumba & Tomson Odongo & Francis Nathan Okurut & Vincent Bagire & Livingstone Senyonga, 2022. "Renewable and non-renewable energy consumption and economic growth in Uganda," SN Business & Economics, Springer, vol. 2(7), pages 1-28, July.
    7. Dyah Maya Nihayah & Izza Mafruhah & Lukman Hakim & Suryanto Suryanto, 2022. "CO 2 Emissions in Indonesia: The Role of Urbanization and Economic Activities towards Net Zero Carbon," Economies, MDPI, vol. 10(4), pages 1-20, March.
    8. Asif Raihan & Rawshan Ara Begum & Mohd Nizam Mohd Said & Joy Jacqueline Pereira, 2022. "Relationship between economic growth, renewable energy use, technological innovation, and carbon emission toward achieving Malaysia’s Paris agreement," Environment Systems and Decisions, Springer, vol. 42(4), pages 586-607, December.
    9. Delphin Kamanda Espoir & Regret Sunge & Andrew Adewale Alola, 2024. "Time-varying causality nexus of (non)renewable electricity utilization, real output, and carbon emission among selected African states," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 5275-5298, February.
    10. Asif Raihan, 2023. "An econometric evaluation of the effects of economic growth, energy use, and agricultural value added on carbon dioxide emissions in Vietnam," Asia-Pacific Journal of Regional Science, Springer, vol. 7(3), pages 665-696, September.
    11. Abdul Hayy Haziq Mohamad & Muhammad Hafiz bin Muhammad Hisham & Salfarina Abdul Gapor, 2025. "Indonesia: Comparison Between the Most Consumption of Renewable and Non-Renewable Energy Toward CO2 Emissions," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 260-279, May.
    12. Kassim, Fatima & Isik, Abdurrahman, 2020. "The link between energy consumption and economic growth: Evidence from transition economies (1985-2017)," MPRA Paper 101601, University Library of Munich, Germany.
    13. Mehdi Ben Jebli & Imen Gam, 2024. "The symmetric and asymmetric effects of renewable energy and water investment on environmental quality: evidence for the Chinese economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27739-27763, November.
    14. Hlalefang Khobai & Katlego Sithole, 2022. "The Relationship between Economic Growth and Carbon Emissions in South Africa," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 516-525, March.
    15. Apoorva Gurtu & Vidhisha Vyas & Amulya Gurtu, 2022. "Emissions Reduction Policies and Their Effects on Economy," JRFM, MDPI, vol. 15(9), pages 1-17, September.
    16. Abdul Rehman & Magdalena Radulescu & Laura Mariana Cismaș & Cristian-Mihai Cismaș & Abbas Ali Chandio & Smaranda (Toma) Simoni, 2022. "Renewable Energy, Urbanization, Fossil Fuel Consumption, and Economic Growth Dilemma in Romania: Examining the Short- and Long-Term Impact," Energies, MDPI, vol. 15(19), pages 1-18, September.
    17. Tomasz Rokicki & Aleksandra Perkowska, 2020. "Changes in Energy Supplies in the Countries of the Visegrad Group," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    18. AM Priyangani Adikari & Haiyun Liu & DMSLB Dissanayake & Manjula Ranagalage, 2023. "Human Capital and Carbon Emissions: The Way forward Reducing Environmental Degradation," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    19. Anh Hoang To & Duc Hong Vo, 2020. "The Balanced Energy Mix for Achieving Environmental and Economic Goals in the Long Run," Energies, MDPI, vol. 13(15), pages 1-21, July.
    20. Gibellato, Simone & Ballestra, Luca Vincenzo & Fiano, Fabio & Graziano, Domenico & Luca Gregori, Gian, 2023. "The impact of education on the Energy Trilemma Index: A sustainable innovativeness perspective for resilient energy systems," Applied Energy, Elsevier, vol. 330(PB).
    21. Taner Akan & Halil İbrahim Gündüz & Tara Vanlı & Ahmet Baran Zeren & Ali Haydar Işık & Tamerlan Mashadihasanli, 2023. "Why are some countries cleaner than others? New evidence from macroeconomic governance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6167-6223, July.
    22. Ebrahim Abbas Abdullah Abbas Amer & Zhang Xiuwu & Ebrahim Mohammed Ali Meyad & Ali M Meyad & A K M Mohsin & Arifur Rahman, 2024. "The long-term relationship between oil price changes and economic growth from the perspective of the resource curse: An empirical study from Yemen," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-23, November.
    23. Ibrahim Shittu & Abdul Saqib & Abdul Rais Abdul Latiff & Siti ‘Aisyah Baharudin, 2024. "Energy Subsidies and Energy Access in Developing Countries: Does Institutional Quality Matter?," SAGE Open, , vol. 14(3), pages 21582440241, August.
    24. Rundong Luo & Sami Ullah & Kishwar Ali, 2021. "Pathway towards Sustainability in Selected Asian Countries: Influence of Green Investment, Technology Innovations, and Economic Growth on CO2 Emission," Sustainability, MDPI, vol. 13(22), pages 1-19, November.
    25. Chia-Lin Chang & Duc Hong Vo, 2020. "Contemporary Issues in Business and Economics in Vietnam and Other Asian Emerging Markets," JRFM, MDPI, vol. 13(6), pages 1-4, May.
    26. Abdelmoneim B. M. Metwally & Shahd M. Nabil & Mai M. Yasser, 2024. "Hydropower & HDI Nexus in Nordic Countries Using VAR Techniques," Economies, MDPI, vol. 12(3), pages 1-18, March.
    27. Febriyanto, Ahmad & Azzam, Abdullah & Kutia, Hanifah Ramadhani & Rizal, Achmad & Yusfiarto, Rizaldi, 2024. "The impact of foreign direct investment on carbon emissions: A comparative study in the ASEAN countries with the highest foreign direct investment," Innovation and Green Development, Elsevier, vol. 3(4).
    28. Jozef R. Pattiruhu & Shella Kriekhoff, 2022. "Energy Consumption Impact on Economic Management: Evidence from Indonesian Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 270-279, May.
    29. Vo, Duc Hong & Vo, Anh The & Ho, Chi Minh & Nguyen, Ha Minh, 2020. "The role of renewable energy, alternative and nuclear energy in mitigating carbon emissions in the CPTPP countries," Renewable Energy, Elsevier, vol. 161(C), pages 278-292.
    30. Jawaher Binsuwadan, 2024. "Transport Sector Emissions and Environmental Sustainability: Empirical Evidence from GCC Economies," Sustainability, MDPI, vol. 16(23), pages 1-17, December.
    31. Abdul Rehman & Hengyun Ma & Ilhan Ozturk & Muntasir Murshed & Vishal Dagar, 2021. "The dynamic impacts of CO2 emissions from different sources on Pakistan’s economic progress: a roadmap to sustainable development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17857-17880, December.
    32. Torok Laszlo, 2023. "Correlation of Greenhouse Gas Emissions with Economic Growth in the European Union (2010-2019)," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 102-110, July.
    33. Adebayo, Tomiwa Sunday, 2021. "Testing the EKC Hypothesis in Indonesia: Empirical Evidence from the ARDL-Based Bounds and Wavelet Coherence Approaches," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 28(01).

  3. McAleer, M.J. & Nakamura, T. & Watkins, C., 2019. "Size, Internationalization and University Rankings: Evaluating and Predicting Times Higher Education (THE) Data for Japan," Econometric Institute Research Papers EI2019-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Barbara Tóth & Hossein Motahari-Nezhad & Nicki Horseman & László Berek & Levente Kovács & Áron Hölgyesi & Márta Péntek & Seyedali Mirjalili & László Gulácsi & Zsombor Zrubka, 2024. "Ranking resilience: assessing the impact of scientific performance and the expansion of the Times Higher Education Word University Rankings on the position of Czech, Hungarian, Polish, and Slovak universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(3), pages 1739-1770, March.
    2. Fernando García & Francisco Guijarro & Javier Oliver, 2021. "A Multicriteria Goal Programming Model for Ranking Universities," Mathematics, MDPI, vol. 9(5), pages 1-17, February.
    3. Tatiane Teixeira & Claudia Tania Picinin, 2024. "University Rankings: Proposal for a Future Research Agenda through a Systematic Literature Review," Sustainability, MDPI, vol. 16(7), pages 1-35, April.

  4. Asai, M. & Gupta, R. & McAleer, M.J., 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Econometric Institute Research Papers EI2019-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020. "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers 202009, University of Pretoria, Department of Economics.
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Bouri, Elie & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "Forecasting power of infectious diseases-related uncertainty for gold realized variance," Finance Research Letters, Elsevier, vol. 42(C).
    4. Hanif, Waqas & Mensi, Walid & Vo, Xuan Vinh & BenSaïda, Ahmed & Hernandez, Jose Arreola & Kang, Sang Hoon, 2023. "Dependence and risk management of portfolios of metals and agricultural commodity futures," Resources Policy, Elsevier, vol. 82(C).
    5. Gupta, Rangan & Nielsen, Joshua & Pierdzioch, Christian, 2024. "Stock market bubbles and the realized volatility of oil price returns," Energy Economics, Elsevier, vol. 132(C).
    6. Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch & Seong-Min Yoon, 2020. "OPEC News and Jumps in the Oil Market," Working Papers 202053, University of Pretoria, Department of Economics.
    7. Rangan Gupta & Christian Pierdzioch, 2024. "Multi-Task Forecasting of the Realized Volatilities of Agricultural Commodity Prices," Working Papers 202423, University of Pretoria, Department of Economics.
    8. Shahbaz, Muhammad & Khan, Asad ul Islam & Mubarak, Muhammad Shujaat, 2023. "Roling-window bounds testing approach to analyze the relationship between oil prices and metal prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 388-395.
    9. Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
    10. Balcilar, Mehmet & Gupta, Rangan & Nel, Jacobus, 2022. "Rare disaster risks and gold over 700 years: Evidence from nonparametric quantile regressions," Resources Policy, Elsevier, vol. 79(C).
    11. Salisu, Afees A. & Gupta, Rangan & Karmakar, Sayar & Das, Sonali, 2022. "Forecasting output growth of advanced economies over eight centuries: The role of gold market volatility as a proxy of global uncertainty," Resources Policy, Elsevier, vol. 75(C).
    12. Bonato, Matteo & Gupta, Rangan & Lau, Chi Keung Marco & Wang, Shixuan, 2020. "Moments-based spillovers across gold and oil markets," Energy Economics, Elsevier, vol. 89(C).
    13. Rangan Gupta & Christian Pierdzioch, 2021. "Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers," Energies, MDPI, vol. 14(14), pages 1-15, July.
    14. Thanoj K. Muddana & Komal S.R. Bhimireddy & Anandamayee Majumdar & Rangan Gupta, 2024. "Forecasting Gold Returns Volatility Over 1258-2023: The Role of Moments," Working Papers 202421, University of Pretoria, Department of Economics.
    15. Bonato, Matteo & Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2021. "A note on investor happiness and the predictability of realized volatility of gold," Finance Research Letters, Elsevier, vol. 39(C).
    16. Sheng, Xin & Kim, Won Joong & Gupta, Rangan & Ji, Qiang, 2023. "The impacts of oil price volatility on financial stress: Is the COVID-19 period different?," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 520-532.
    17. Riza Demirer & Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2020. "Effect of Rare Disaster Risks on Crude Oil: Evidence from El Nino from Over 140 Years of Data," Working Papers 2020104, University of Pretoria, Department of Economics.
    18. Demirer, Riza & Gupta, Rangan & Pierdzioch, Christian & Shahzad, Syed Jawad Hussain, 2020. "The predictive power of oil price shocks on realized volatility of oil: A note," Resources Policy, Elsevier, vol. 69(C).
    19. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    20. Gupta, Rangan & Pierdzioch, Christian, 2022. "Climate risks and forecastability of the realized volatility of gold and other metal prices," Resources Policy, Elsevier, vol. 77(C).
    21. Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022. "Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?," Energy Economics, Elsevier, vol. 114(C).
    22. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    23. Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2020. "A Note on Oil Price Shocks and the Forecastability of Gold Realized Volatility," Working Papers 202010, University of Pretoria, Department of Economics.
    24. Afees A. Salisu & Rangan Gupta & Elie Bouri & Qiang Ji, 2020. "The Role of Global Economic Conditions in Forecasting Gold Market Volatility: Evidence from a GARCH-MIDAS Approach," Working Papers 202043, University of Pretoria, Department of Economics.
    25. Gupta, Rangan & Ji, Qiang & Pierdzioch, Christian & Plakandaras, Vasilios, 2023. "Forecasting the conditional distribution of realized volatility of oil price returns: The role of skewness over 1859 to 2023," Finance Research Letters, Elsevier, vol. 58(PC).
    26. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Energies, MDPI, vol. 14(23), pages 1-18, December.
    27. Song, Yuping & Huang, Jiefei & Zhang, Qichao & Xu, Yang, 2024. "Heterogeneity effect of positive and negative jumps on the realized volatility: Evidence from China," Economic Modelling, Elsevier, vol. 136(C).
    28. Rangan Gupta & Christian Pierdzioch, 2023. "Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    29. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Risk Aversion and the Predictability of Crude Oil Market Volatility: A Forecasting Experiment with Random Forests," Working Papers 201972, University of Pretoria, Department of Economics.
    30. Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021. "El Niño, La Niña, and the Forecastability of the Realized Variance of Heating Oil Price Movements," Sustainability, MDPI, vol. 13(14), pages 1-23, July.

  5. Duc Hong Vo & Ha Minh Nguyen & Anh The Vo & Michael McAleer, 2019. "CO2 emissions, energy consumption and economic growth: Evidence from the Trans-Pacific Partnership," Documentos de Trabajo del ICAE 2019-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. Delphin Kamanda Espoir & Regret Sunge & Andrew Adewale Alola, 2024. "Time-varying causality nexus of (non)renewable electricity utilization, real output, and carbon emission among selected African states," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 5275-5298, February.
    2. Mehdi Ben Jebli & Imen Gam, 2024. "The symmetric and asymmetric effects of renewable energy and water investment on environmental quality: evidence for the Chinese economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 27739-27763, November.
    3. Ebrahim Abbas Abdullah Abbas Amer & Zhang Xiuwu & Ebrahim Mohammed Ali Meyad & Mohammed Muneer Alareqi & SAMEER. M. H. BATHER & Amr Abdelwahed, 2025. "Nexus between renewable-disaggregated non-renewable energy consumption and economic growth in GCC countries: a Cobb-Douglas production function analysis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
    4. Ibrahim Shittu & Abdul Saqib & Abdul Rais Abdul Latiff & Siti ‘Aisyah Baharudin, 2024. "Energy Subsidies and Energy Access in Developing Countries: Does Institutional Quality Matter?," SAGE Open, , vol. 14(3), pages 21582440241, August.
    5. Tang, Caihong & Long, Yunfei & Tang, Yu & Mao, Yunyi, 2025. "Impact of economic growth and agricultural expansion on forest cover in ASEAN: New evidence for forest transition theory," Forest Policy and Economics, Elsevier, vol. 178(C).
    6. Febriyanto, Ahmad & Azzam, Abdullah & Kutia, Hanifah Ramadhani & Rizal, Achmad & Yusfiarto, Rizaldi, 2024. "The impact of foreign direct investment on carbon emissions: A comparative study in the ASEAN countries with the highest foreign direct investment," Innovation and Green Development, Elsevier, vol. 3(4).
    7. Jawaher Binsuwadan, 2024. "Transport Sector Emissions and Environmental Sustainability: Empirical Evidence from GCC Economies," Sustainability, MDPI, vol. 16(23), pages 1-17, December.

  6. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," Econometric Institute Research Papers EI2019-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Aloui, Chaker & Hamida, Hela ben & Yarovaya, Larisa, 2021. "Are Islamic gold-backed cryptocurrencies different?," Finance Research Letters, Elsevier, vol. 39(C).
    4. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," Econometric Institute Research Papers EI2019-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Das, Sonali & Demirer, Riza & Gupta, Rangan & Mangisa, Siphumlile, 2019. "The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 132-147.
    6. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    7. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    8. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    9. Semei Coronado & Rangan Gupta & Besma Hkiri & Omar Rojas, 2020. "Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 44-76, December.
    10. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    11. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    12. Michael McAleer, 2019. "What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity and (Non-) Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," JRFM, MDPI, vol. 12(2), pages 1-7, April.
    13. Yu-Ann Wang & Chia-Lin Chang, 2024. "Portfolio selection from risk transfer mechanisms in a time of crisis for renewable energy markets," KIER Working Papers 1108, Kyoto University, Institute of Economic Research.
    14. Elie Bouri & Konstantinos Gkillas & Rangan Gupta, 2019. "Trade Uncertainties and the Hedging Abilities of Bitcoin," Working Papers 201948, University of Pretoria, Department of Economics.
    15. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    16. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    17. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

  7. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2019. "Central Bank Intervention, Bubbles and Risk in Walrasian Financial Markets," Econometric Institute Research Papers EI2019-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hannu Laurila & Jukka Ilomäki, 2020. "Inflation and Risky Investments," JRFM, MDPI, vol. 13(12), pages 1-10, December.

  8. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," Econometric Institute Research Papers EI2019-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Aloui, Chaker & Hamida, Hela ben & Yarovaya, Larisa, 2021. "Are Islamic gold-backed cryptocurrencies different?," Finance Research Letters, Elsevier, vol. 39(C).
    4. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," Econometric Institute Research Papers EI2019-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Das, Sonali & Demirer, Riza & Gupta, Rangan & Mangisa, Siphumlile, 2019. "The effect of global crises on stock market correlations: Evidence from scalar regressions via functional data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 132-147.
    6. Kudbeddin Şeker & Ethem Kiliç, 2026. "Bitcoin, U.S. stock markets, and volatility: the interaction of digital assets with traditional markets," Digital Finance, Springer, vol. 8(1), pages 1-25, March.
    7. Elie Bouri & Konstantinos Gkillas & Rangan Gupta, 2020. "Trade uncertainties and the hedging abilities of Bitcoin," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 49(3), September.
    8. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    9. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    10. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    11. Semei Coronado & Rangan Gupta & Besma Hkiri & Omar Rojas, 2020. "Time-Varying Spillovers between Currency and Stock Markets in the USA: Historical Evidence From More than Two Centuries," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 44-76, December.
    12. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    13. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    14. Yu-Ann Wang & Chia-Lin Chang, 2024. "Portfolio selection from risk transfer mechanisms in a time of crisis for renewable energy markets," KIER Working Papers 1108, Kyoto University, Institute of Economic Research.
    15. Konstantinos Gkillas & Christoforos Konstantatos & Costas Siriopoulos, 2021. "Uncertainty Due to Infectious Diseases and Stock–Bond Correlation," Econometrics, MDPI, vol. 9(2), pages 1-18, April.
    16. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," Econometric Institute Research Papers EI2019-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    18. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

  9. Allen, D.E. & McAleer, M.J., 2019. "Drawbacks in the 3-Factor Approach of Fama and French (2018)," Econometric Institute Research Papers EI2019-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Erfanian, Azadeh & Ariff, Mohamed & Bhatti, M. Ishaq, 2024. "Market tempo: Decoding information speed across global stock markets," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    2. Jianquan Guo & Yinan Zhang, 2024. "How does Low-Carbon Development of Logistics and Tourism Contribute to China’s Economy? Evidence from Technological Innovation and Renewable Energy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18378-18411, December.
    3. Hassan Zada & Naveed Khan & Kai-Yin Woo & Sana Gaied Chortane, 2025. "Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(4), pages 1-37.

  10. Nguyen, H.M. & Bui, N.H. & Vo, D.H. & McAleer, M.J., 2019. "Energy Consumption and Economic Growth: Evidence from Vietnam," Econometric Institute Research Papers EI2019-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Huang, Shi-Zheng, 2022. "Do green financing and industrial structure matter for green economic recovery? Fresh empirical insights from Vietnam," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 61-73.
    2. Ayoub Zeraibi & Daniel Balsalobre-Lorente & Khurram Shehzad, 2020. "Examining the Asymmetric Nexus between Energy Consumption, Technological Innovation, and Economic Growth; Does Energy Consumption and Technology Boost Economic Development?," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    3. Duc Hong Vo & Anh The Vo & Chi Minh Ho, 2020. "Does Financial Integration Enhance Economic Growth in China?," Economies, MDPI, vol. 8(3), pages 1-18, August.
    4. Buket Altinoz & Nicholas Apergis & Alper Aslan, 2021. "Energy Consumption, Carbon Dioxide Emissions and Economic Growth - Fresh Evidence From Panel Quantile Regressions," Energy RESEARCH LETTERS, Asia-Pacific Applied Economics Association, vol. 1(1), pages 1-4.
    5. Thai-Ha Le, 2021. "Drivers of greenhouse gas emissions in ASEAN + 6 countries: a new look," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18096-18115, December.
    6. Md. Nazmus Sadekin & Md. Mahbub Alam & Syed Moudud-Ul-Huq & Mohammad Ghozali Hassan & Tarequl Islam, 2021. "Do Energy Consumption and Environmental Degradation (CO2 Emissions) Matter for Economic Growth? Fresh Evidence from a Developing Economy," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 289-297.
    7. Aikaterina Oikonomou & Michael Polemis & Symeoni-Eleni Soursou, 2021. "International Environmental Agreements and CO 2 Emissions: Fresh Evidence from 11 Polluting Countries," JRFM, MDPI, vol. 14(7), pages 1-13, July.
    8. Strike Mbulawa, 2021. "Trade and Investment Led Growth in Southern African Development Community (SADC)," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 9(2), pages 79-88.
    9. Ebrahim Abbas Abdullah Abbas Amer & Zhang Xiuwu & Ebrahim Mohammed Ali Meyad & Mohammed Muneer Alareqi & SAMEER. M. H. BATHER & Amr Abdelwahed, 2025. "Nexus between renewable-disaggregated non-renewable energy consumption and economic growth in GCC countries: a Cobb-Douglas production function analysis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-18, December.
    10. D’Errico, Maria Chiara, 2024. "Sustainable economic growth and energy security nexus: A stochastic frontier analysis across OECD countries," Energy Economics, Elsevier, vol. 132(C).
    11. Ebrahim Abbas Abdullah Abbas Amer & Zhang Xiuwu & Ebrahim Mohammed Ali Meyad & Ali M Meyad & A K M Mohsin & Arifur Rahman, 2024. "The long-term relationship between oil price changes and economic growth from the perspective of the resource curse: An empirical study from Yemen," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-23, November.
    12. K, Ashin Nishan M & ASHIQ, MUHAMMED V, 2019. "Role of Energy use in the Prediction of CO2 Emissions and Growth in India: An Application of Artificial Neural Networks (ANN)," SocArXiv gkpbu, Center for Open Science.
    13. Yuvensius Sri Susilo & Matthew Kartawinata & Jonathan Ersten Herawan, 2024. "The Effect of Energy Consumption Towards Economic Growth: The Case of 11 Asian Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 600-608, May.
    14. Yin, Zhichao & Wang, Rui & Wu, Xi, 2023. "Financial inclusion, natural disasters and energy poverty: Evidence from China," Energy Economics, Elsevier, vol. 126(C).
    15. Vo, Duc Hong & Vo, Anh The & Ho, Chi Minh & Nguyen, Ha Minh, 2020. "The role of renewable energy, alternative and nuclear energy in mitigating carbon emissions in the CPTPP countries," Renewable Energy, Elsevier, vol. 161(C), pages 278-292.
    16. Henrique Oliveira & Víctor Moutinho, 2021. "Renewable Energy, Economic Growth and Economic Development Nexus: A Bibliometric Analysis," Energies, MDPI, vol. 14(15), pages 1-28, July.
    17. Mpho Bosupeng & Janet Dzator & Andrew Nadolny, 2019. "Wechselkursfehlausrichtung und Kapitalflucht ab Botswana: Ein Cointegrationsansatz mit Risikoschwellen [Exchange Rate Misalignment and Capital Flight from Botswana: A Cointegration Approach with Risk Thresholds]," Post-Print hal-02168726, HAL.

  11. Vo, D.H. & Tran, N.P. & Duong, T.N.-T. & McAleer, M.J., 2019. "Risk Analysis of Energy in Vietnam," Econometric Institute Research Papers EI2019-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Sahoo, Somadutta & Zuidema, Christian & van Stralen, Joost N.P. & Faaij, André, 2025. "Regionalized decision-supporting tool application for scenario analyses considering stakeholder interactions: A case study of the Groningen province in the northern Netherlands," Applied Energy, Elsevier, vol. 377(PD).
    2. Thang Cong Nguyen & Tan Ngoc Vu & Duc Hong Vo & Michael McAleer, 2020. "Systematic Risk at the Industry Level: A Case Study of Australia," Risks, MDPI, vol. 8(2), pages 1-12, April.
    3. Ahmed Imran Hunjra & Tahar Tayachi & Rashid Mehmood & Sidra Malik & Zoya Malik, 2020. "Impact of Credit Risk on Momentum and Contrarian Strategies: Evidence from South Asian Markets," Risks, MDPI, vol. 8(2), pages 1-14, April.

  12. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Duc Hong Vo, 2023. "Market risk, financial distress and firm performance in Vietnam," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-15, July.
    2. Rafael Becerra-Vicario & David Alaminos & Eva Aranda & Manuel A. Fernández-Gámez, 2020. "Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    3. Thao Tran & Ngoc Hong Nguyen & Binh Thien Le & Nam Thanh Vu & Duc Hong Vo, 2023. "Examining financial distress of the Vietnamese listed firms using accounting-based models," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-17, May.
    4. Bukalska Elżbieta & Maziarczyk Anna, 2023. "Impact of financial constraints and financial distress on cash holdings," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(1), pages 13-31, March.

  13. Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Market Timing with Moving Averages," Econometric Institute Research Papers EI 2018-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Luigi Buzzacchi & Luca Ghezzi, 2021. "The Odds of Profitable Market Timing," JRFM, MDPI, vol. 14(6), pages 1-14, June.
    3. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Market Timing with Moving Averages for Fossil Fuel and Renewable Energy Stocks," Econometric Institute Research Papers EI2018-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.

  14. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Market Timing with Moving Averages for Fossil Fuel and Renewable Energy Stocks," Econometric Institute Research Papers EI2018-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.

  15. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Aleksandra Kuzior & Anna Liakisheva & Iryna Denysiuk & Halyna Oliinyk & Liudmyla Honchar, 2020. "Social Risks of International Labour Migration in the Context of Global Challenges," JRFM, MDPI, vol. 13(9), pages 1-31, September.
    2. Faisal Abbas & Shoaib Ali & Imran Yousaf & Wing-Keung Wong, 2021. "Dynamics of Funding Liquidity and Risk-Taking: Evidence from Commercial Banks," JRFM, MDPI, vol. 14(6), pages 1-16, June.
    3. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    4. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    5. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," JRFM, MDPI, vol. 12(1), pages 1-27, March.
    7. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    8. Rewat Khanthaporn, 2022. "Analysis of Nonlinear Comovement of Benchmark Thai Government Bond Yields," PIER Discussion Papers 183, Puey Ungphakorn Institute for Economic Research.

  16. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," Econometric Institute Research Papers EI2018-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Erol KOYCU & Ilhan EGE, 2025. "Determination of Economic and Financial Factors Affecting Investment Instruments: An Application on Borsa Ä°stanbul," Journal of BRSA Banking and Financial Markets, Banking Regulation and Supervision Agency, vol. 19(1), pages 22-45.
    2. Parizad Phiroze Dungore & Sarosh Hosi Patel, 2021. "Analysis of Volatility Volume and Open Interest for Nifty Index Futures Using GARCH Analysis and VAR Model," IJFS, MDPI, vol. 9(1), pages 1-11, January.
    3. SOSA-CASTRO, Miriam, 2022. "Equity Market Volatility Impact On S&P 500 Sector Indexes, 1989-2021," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 22(1), pages 39-60.
    4. Yutaka Kurihara & Shinichiro Maeda & Akio Fukushima, 2021. "Have the Purchases of ETF Raised Stock Prices? Recent Japanese Case," Bulletin of Applied Economics, Risk Market Journals, vol. 8(1), pages 109-119.

  17. Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    3. Massoud Moslehpour & Ka Yin Chau & Alaleh Dadvari & Ben-Roy Do & Victoria Seitz, 2019. "What Killed HTC and Kept Apple Alive? Brand Sustainability Comparison of Two Asian Countries," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    4. Massoud Moslehpour & Purevdulam Altantsetseg & Weiming Mou & Wing-Keung Wong, 2018. "Organizational Climate and Work Style: The Missing Links for Sustainability of Leadership and Satisfied Employees," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    5. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    6. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    7. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    8. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications," JRFM, MDPI, vol. 13(7), pages 1-19, July.
    9. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    10. Zhiping Chen & Xinkai Zhuang & Jia Liu, 2019. "A Sustainability-Oriented Enhanced Indexation Model with Regime Switching and Cardinality Constraint," Sustainability, MDPI, vol. 11(15), pages 1-14, July.
    11. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    12. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  18. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Demetrescu, Matei & Rodrigues, Paulo M.M. & Taylor, A.M. Robert, 2023. "Transformed regression-based long-horizon predictability tests," Journal of Econometrics, Elsevier, vol. 237(2).
    2. Lord, Montague & Chang, Susan, 2019. "Pre-Feasibility Study of Sarawak-West Kalimantan Cross-Border Value Chains," MPRA Paper 97376, University Library of Munich, Germany.
    3. Ken Chung & Anthony Bellotti, 2021. "Evidence and Behaviour of Support and Resistance Levels in Financial Time Series," Papers 2101.07410, arXiv.org.
    4. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.
    5. Parastoo Mousavi, 2021. "Debt-by-Price Ratio, End-of-Year Economic Growth, and Long-Term Prediction of Stock Returns," Mathematics, MDPI, vol. 9(13), pages 1-18, July.

  19. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Olha Shulha & Tatiana Kostyshyna & Maryna Semykina & Liudmyla Katan & Hanna Smirnova, 2021. "Modeling of Social Risks in the Labor Sphere," JRFM, MDPI, vol. 14(10), pages 1-12, October.
    3. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    4. Svetlana Drobyazko & Anna Barwinska-Malajowicz & Boguslaw Slusarczyk & Olga Chubukova & Taliat Bielialov, 2020. "Risk Management in the System of Financial Stability of the Service Enterprise," JRFM, MDPI, vol. 13(12), pages 1-15, November.
    5. Buu-Chau Truong & Nguyen Van Thuan & Nguyen Huu Hau & Michael McAleer, 2019. "Applications of the Newton-Raphson Method in Decision Sciences and Education," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 52-80, December.
    6. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    7. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    8. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    9. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    11. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," JRFM, MDPI, vol. 12(1), pages 1-27, March.
    12. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    13. Ngo Tung Hieu & Lam Minh Huy & Huynh Manh Phat & Nguyen Ngoc Phuong Anh & Wing-Keung Wong, 2020. "Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 15-65, June.
    14. Grygoriy Shamborovskyi & Yuliia Nehoda & Nataliya Demidova & Volodymyr Tarashchenko & Svitlana Breus, 2021. "Modeling Study on Risk Identification in the Process of Anti-Crisis Enterprise Management," JRFM, MDPI, vol. 14(2), pages 1-14, February.
    15. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  20. Asai, M. & McAleer, M.J., 2018. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Econometric Institute Research Papers 2018-005/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Anamaria-Geanina MACOVEI, 2025. "Advanced Econometric Models In The Digital Age: Bibliometric Analysis," European Journal of Accounting, Finance & Business, "Stefan cel Mare" University of Suceava, Romania - Faculty of Economics and Public Administration, West University of Timisoara, Romania - Faculty of Economics and Business Administration, vol. 13(2), pages 71-80, June.
    2. Xu, Yongdeng, 2024. "Extended multivariate EGARCH model: A model for zero†return and negative spillovers," Cardiff Economics Working Papers E2024/24, Cardiff University, Cardiff Business School, Economics Section.

  21. Manabu Asai & Shelton Peiris & Michael McAleer & David E. Allen, 2018. "Cointegrated Dynamics for A Generalized Long Memory Process: An Application to Interest Rates," Documentos de Trabajo del ICAE 2018-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. Paul M. Beaumont & Aaron D. Smallwood, 2024. "Conditional sum of squares estimation of k-factor GARMA models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 501-543, September.

  22. Mou, W.M. & Wong, W.-K. & McAleer, M.J., 2018. "Financial Credit Risk Evaluation Based on Core Enterprise Supply Chains," Econometric Institute Research Papers EI2018-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    3. Aleksandra Kuzior & Anna Liakisheva & Iryna Denysiuk & Halyna Oliinyk & Liudmyla Honchar, 2020. "Social Risks of International Labour Migration in the Context of Global Challenges," JRFM, MDPI, vol. 13(9), pages 1-31, September.
    4. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    5. Massoud Moslehpour & Ka Yin Chau & Alaleh Dadvari & Ben-Roy Do & Victoria Seitz, 2019. "What Killed HTC and Kept Apple Alive? Brand Sustainability Comparison of Two Asian Countries," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    6. Meiyan Li & Yingjun Fu, 2022. "Prediction of Supply Chain Financial Credit Risk Based on PCA-GA-SVM Model," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    7. Purevdulam Altantsetseg & Alaleh Dadvari & Tsevegjav Munkhdelger & Gerelt-Od Lkhagvasuren & Massoud Moslehpour, 2020. "Sustainable Development of Entrepreneurial Orientation through Social Drivers," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    8. Massoud Moslehpour & Purevdulam Altantsetseg & Weiming Mou & Wing-Keung Wong, 2018. "Organizational Climate and Work Style: The Missing Links for Sustainability of Leadership and Satisfied Employees," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    9. Judit Oláh & Sándor Kovács & Zuzana Virglerova & Zoltán Lakner & Maria Kovacova & József Popp, 2019. "Analysis and Comparison of Economic and Financial Risk Sources in SMEs of the Visegrad Group and Serbia," Sustainability, MDPI, vol. 11(7), pages 1-19, March.
    10. Zhen-Song Chen & Jia Zhou & Chen-Ye Zhu & Zhu-Jun Wang & Sheng-Hua Xiong & Rosa M. Rodríguez & Luis Martínez & Mirosław J. Skibniewski, 2023. "Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-53, December.
    11. Yingmei Jiang & Yuxin Li & Jinyu Wei & Yaoxi Liu, 2024. "Research on trust mechanism of supply chain finance under Industrial Internet embedded with blockchain," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-17, June.
    12. Hassan Jalil Shah & Jenho Peter Ou & Saman Attiq & Muhammad Umer & Wing-Keung Wong, 2022. "Does Inclusive Leadership Improve the Sustainability of Employee Relations? Test of Justice Theory and Employee Perceived Insider Status," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    13. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    14. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    15. Dmytro Kovalenko & Olga Afanasieva & Nani Zabuta & Tetiana Boiko & Rosen Rosenov Baltov, 2021. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies," JRFM, MDPI, vol. 14(5), pages 1-20, May.
    16. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    17. Simon Wong & John Kun Woon Yeung & Yui-Yip Lau & Tomoya Kawasaki & Raymond Kwong, 2024. "A Critical Literature Review on Blockchain Technology Adoption in Supply Chains," Sustainability, MDPI, vol. 16(12), pages 1-40, June.
    18. Yubin Yang & Xuejian Chu & Ruiqi Pang & Feng Liu & Peifang Yang, 2021. "Identifying and Predicting the Credit Risk of Small and Medium-Sized Enterprises in Sustainable Supply Chain Finance: Evidence from China," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    19. Xinpeng Geng & Bing Han & Debao Yang & Junren Zhao, 2024. "Credit risk contagion of supply chain finance: An empirical analysis of supply chain listed companies," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-22, August.
    20. Bingya Wu & Zhihui Hu & Zhouyi Gu & Yuxi Zheng & Jiayan Lv, 2025. "Credit Evaluation of Technology-Based Small and Micro Enterprises: An Innovative Weighting Method Based on Machine Learning and AHP," Data, MDPI, vol. 10(1), pages 1-21, January.
    21. Ao Yu & Zhuoqiang Jia & Weike Zhang & Ke Deng & Francisco Herrera, 2020. "A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods," Sustainability, MDPI, vol. 12(5), pages 1-21, February.
    22. Yu Xia & Ta Xu & Ming-Xia Wei & Zhen-Ke Wei & Lian-Jie Tang, 2023. "Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods," Sustainability, MDPI, vol. 15(2), pages 1-18, January.

  23. Mou, W.M. & Wong, W.-K. & McAleer, M.J., 2018. "Financial Credit Risk and Core Enterprise Supply Chains," Econometric Institute Research Papers EI2018-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    3. Aleksandra Kuzior & Anna Liakisheva & Iryna Denysiuk & Halyna Oliinyk & Liudmyla Honchar, 2020. "Social Risks of International Labour Migration in the Context of Global Challenges," JRFM, MDPI, vol. 13(9), pages 1-31, September.
    4. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    5. Massoud Moslehpour & Ka Yin Chau & Alaleh Dadvari & Ben-Roy Do & Victoria Seitz, 2019. "What Killed HTC and Kept Apple Alive? Brand Sustainability Comparison of Two Asian Countries," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    6. Meiyan Li & Yingjun Fu, 2022. "Prediction of Supply Chain Financial Credit Risk Based on PCA-GA-SVM Model," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    7. Purevdulam Altantsetseg & Alaleh Dadvari & Tsevegjav Munkhdelger & Gerelt-Od Lkhagvasuren & Massoud Moslehpour, 2020. "Sustainable Development of Entrepreneurial Orientation through Social Drivers," Sustainability, MDPI, vol. 12(21), pages 1-19, October.
    8. Massoud Moslehpour & Purevdulam Altantsetseg & Weiming Mou & Wing-Keung Wong, 2018. "Organizational Climate and Work Style: The Missing Links for Sustainability of Leadership and Satisfied Employees," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    9. Judit Oláh & Sándor Kovács & Zuzana Virglerova & Zoltán Lakner & Maria Kovacova & József Popp, 2019. "Analysis and Comparison of Economic and Financial Risk Sources in SMEs of the Visegrad Group and Serbia," Sustainability, MDPI, vol. 11(7), pages 1-19, March.
    10. Zhen-Song Chen & Jia Zhou & Chen-Ye Zhu & Zhu-Jun Wang & Sheng-Hua Xiong & Rosa M. Rodríguez & Luis Martínez & Mirosław J. Skibniewski, 2023. "Prioritizing real estate enterprises based on credit risk assessment: an integrated multi-criteria group decision support framework," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-53, December.
    11. Yingmei Jiang & Yuxin Li & Jinyu Wei & Yaoxi Liu, 2024. "Research on trust mechanism of supply chain finance under Industrial Internet embedded with blockchain," PLOS ONE, Public Library of Science, vol. 19(6), pages 1-17, June.
    12. Hassan Jalil Shah & Jenho Peter Ou & Saman Attiq & Muhammad Umer & Wing-Keung Wong, 2022. "Does Inclusive Leadership Improve the Sustainability of Employee Relations? Test of Justice Theory and Employee Perceived Insider Status," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    13. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    14. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    15. Dmytro Kovalenko & Olga Afanasieva & Nani Zabuta & Tetiana Boiko & Rosen Rosenov Baltov, 2021. "Model of Assessing the Overdue Debts in a Commercial Bank Using Neuro-Fuzzy Technologies," JRFM, MDPI, vol. 14(5), pages 1-20, May.
    16. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    17. Simon Wong & John Kun Woon Yeung & Yui-Yip Lau & Tomoya Kawasaki & Raymond Kwong, 2024. "A Critical Literature Review on Blockchain Technology Adoption in Supply Chains," Sustainability, MDPI, vol. 16(12), pages 1-40, June.
    18. Yubin Yang & Xuejian Chu & Ruiqi Pang & Feng Liu & Peifang Yang, 2021. "Identifying and Predicting the Credit Risk of Small and Medium-Sized Enterprises in Sustainable Supply Chain Finance: Evidence from China," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    19. Xinpeng Geng & Bing Han & Debao Yang & Junren Zhao, 2024. "Credit risk contagion of supply chain finance: An empirical analysis of supply chain listed companies," PLOS ONE, Public Library of Science, vol. 19(8), pages 1-22, August.
    20. Bingya Wu & Zhihui Hu & Zhouyi Gu & Yuxi Zheng & Jiayan Lv, 2025. "Credit Evaluation of Technology-Based Small and Micro Enterprises: An Innovative Weighting Method Based on Machine Learning and AHP," Data, MDPI, vol. 10(1), pages 1-21, January.
    21. Ao Yu & Zhuoqiang Jia & Weike Zhang & Ke Deng & Francisco Herrera, 2020. "A Dynamic Credit Index System for TSMEs in China Using the Delphi and Analytic Hierarchy Process (AHP) Methods," Sustainability, MDPI, vol. 12(5), pages 1-21, February.
    22. Yu Xia & Ta Xu & Ming-Xia Wei & Zhen-Ke Wei & Lian-Jie Tang, 2023. "Predicting Chain’s Manufacturing SME Credit Risk in Supply Chain Finance Based on Machine Learning Methods," Sustainability, MDPI, vol. 15(2), pages 1-18, January.

  24. Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Waseem Khan & Vishal Sharma & Saghir Ahmad Ansari, 2022. "Modeling the dynamics of oil and agricultural commodity price nexus in linear and nonlinear frameworks: A case of emerging economy," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1733-1784, August.
    2. Gbadebo A. Oladosu & Keith L. Kline & Johannes W. A. Langeveld, 2021. "Structural Break and Causal Analyses of U.S. Corn Use for Ethanol and Other Corn Market Variables," Agriculture, MDPI, vol. 11(3), pages 1-15, March.
    3. Bartosz Łamasz & Natalia Iwaszczuk, 2020. "The Impact of Implied Volatility Fluctuations on Vertical Spread Option Strategies: The Case of WTI Crude Oil Market," Energies, MDPI, vol. 13(20), pages 1-23, October.
    4. Kgabo Lucracia Ledwaba & Chiedza L. Muchopa & Abenet Belete, 2025. "Price Interaction Between Crude Oil, Selected Grains, and Oilseeds in South Africa," Sustainability, MDPI, vol. 17(2), pages 1-20, January.
    5. Hung, Ngo Thai, 2021. "Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 73(C).
    6. El Montasser, Ghassen & Malek Belhoula, Mohamed & Charfeddine, Lanouar, 2023. "Co-explosivity versus leading effects: Evidence from crude oil and agricultural commodities," Resources Policy, Elsevier, vol. 81(C).
    7. Kisswani, Khalid M. & Lahiani, Amine & Fikru, Mahelet G., 2025. "Exploring dynamic extreme dependence of oil and agricultural markets," International Review of Economics & Finance, Elsevier, vol. 99(C).
    8. Lu-Tao Zhao & Guan-Rong Zeng & Wen-Jing Wang & Zhi-Gang Zhang, 2019. "Forecasting Oil Price Using Web-based Sentiment Analysis," Energies, MDPI, vol. 12(22), pages 1-18, November.
    9. Dumiter Florin Cornel & Turcaș Florin Marius & Boiţă Marius, 2023. "Oil Shock Impact Upon Energy Companies Investment Portfolios. Trends and Evolutions in the Energy Consumption Sector," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(1), pages 1-27, March.
    10. Vo, Duc, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," MPRA Paper 103292, University Library of Munich, Germany.
    11. Linjie Wang & Jean‐Paul Chavas & Jian Li, 2024. "Dynamic linkages in agricultural and energy markets: A quantile impulse response approach," Agricultural Economics, International Association of Agricultural Economists, vol. 55(4), pages 639-676, July.
    12. Tserenpurev Chuluunsaikhan & Ga-Ae Ryu & Kwan-Hee Yoo & HyungChul Rah & Aziz Nasridinov, 2020. "Incorporating Deep Learning and News Topic Modeling for Forecasting Pork Prices: The Case of South Korea," Agriculture, MDPI, vol. 10(11), pages 1-22, October.
    13. Obayelu, Abiodun & Ogunmola, Omotoso & Obayelu, Oluwakemi & Adeyemi, Oluwatosin, 2021. "Crude Oil Price Shocks and Food Production Output in Oil Producing and Exporting Countries: The Case Study of Nigeria," 2021 Conference, August 17-31, 2021, Virtual 315394, International Association of Agricultural Economists.
    14. Azhar Maksum & Iskandar Muda & Arifin Lubis & Ibnu Austrindanney Sina Azhar, 2021. "Trading of Indonesian Crude Palm Oil Supply Chain and its Impact on Economic Growth: Implementation of Theory of Comparative Advantage and the Competitive Advantage of Nation," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 296-302.
    15. Radosław Puka & Bartosz Łamasz & Marek Michalski, 2021. "Effectiveness of Artificial Neural Networks in Hedging against WTI Crude Oil Price Risk," Energies, MDPI, vol. 14(11), pages 1-26, June.
    16. Clement Oteng & Omowumi Iledare & Joshua Sebu, 2024. "Vulnerability of the Agricultural Commodity Markets in Ghana to Global Oil Price Fluctuations: An Empirical Analysis," SAGE Open, , vol. 14(1), pages 21582440231, March.
    17. Kevan W. Lamm & Lauren Pike & Lauren Griffeth & Jiyea Park & Andrews Idun, 2023. "Critical Issues Facing the Agriculture, Forestry, and Natural Resources Industries in the State of Georgia," Agriculture, MDPI, vol. 13(6), pages 1-12, June.
    18. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    19. Miroslava Ivanova & Lilko Dospatliev, 2023. "Effects of Diesel Price on Changes in Agricultural Commodity Prices in Bulgaria," Mathematics, MDPI, vol. 11(3), pages 1-22, January.
    20. Hanif, Waqas & Areola Hernandez, Jose & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2021. "Tail dependence risk and spillovers between oil and food prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 195-209.
    21. Tan Ngoc Vu & Chi Minh Ho & Thang Cong Nguyen & Duc Hong Vo, 2020. "The Determinants of Risk Transmission between Oil and Agricultural Prices: An IPVAR Approach," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
    22. Olagunju, Kehinde Oluseyi & Feng, Siyi & Patton, Myles, 2021. "Dynamic relationships among phosphate rock, fertilisers and agricultural commodity markets: Evidence from a vector error correction model and Directed Acyclic Graphs," Resources Policy, Elsevier, vol. 74(C).
    23. Monika Roman & Aleksandra Górecka & Joanna Domagała, 2020. "The Linkages between Crude Oil and Food Prices," Energies, MDPI, vol. 13(24), pages 1-18, December.
    24. Anh Hoang To & Dao Thi-Thieu Ha & Ha Minh Nguyen & Duc Hong Vo, 2019. "The Impact of Foreign Direct Investment on Environment Degradation: Evidence from Emerging Markets in Asia," IJERPH, MDPI, vol. 16(9), pages 1-24, May.
    25. Mokni, Khaled & Ben-Salha, Ousama, 2020. "Asymmetric causality in quantiles analysis of the oil-food ‏ ‏nexus since the 1960s," Resources Policy, Elsevier, vol. 69(C).
    26. Dervis Kirikkaleli & Ibrahim Darbaz, 2021. "The Causal Linkage between Energy Price and Food Price," Energies, MDPI, vol. 14(14), pages 1-13, July.
    27. Shokoohi, Zeinab & Saghaian, Sayed, 2022. "Nexus of energy and food nutrition prices in oil importing and exporting countries: A panel VAR model," Energy, Elsevier, vol. 255(C).
    28. Shahzad, Farrukh & Bouri, Elie & Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Energy, agriculture, and precious metals: Evidence from time-varying Granger causal relationships for both return and volatility," Resources Policy, Elsevier, vol. 74(C).
    29. Li, Houjian & Huang, Xinya & Guo, Lili, 2023. "Extreme risk dependence and time-varying spillover between crude oil, commodity market and inflation in China," Energy Economics, Elsevier, vol. 127(PB).
    30. Yahya, Muhammad & Dutta, Anupam & Bouri, Elie & Wadström, Christoffer & Uddin, Gazi Salah, 2022. "Dependence structure between the international crude oil market and the European markets of biodiesel and rapeseed oil," Renewable Energy, Elsevier, vol. 197(C), pages 594-605.
    31. Elina Bryngemark & Patrik Söderholm, 2022. "Green industrial policies and domestic production of biofuels: an econometric analysis of OECD countries," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 24(2), pages 225-261, April.
    32. Yu-Wei Chen & Chui-Yu Chiu & Mu-Chun Hsiao, 2021. "An Auxiliary Index for Reducing Brent Crude Investment Risk—Evaluating the Price Relationships between Brent Crude and Commodities," Sustainability, MDPI, vol. 13(9), pages 1-45, April.

  25. Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Simple Market Timing with Moving Averages," Econometric Institute Research Papers EI2018-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Market Timing with Moving Averages for Fossil Fuel and Renewable Energy Stocks," Econometric Institute Research Papers EI2018-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.

  26. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2018. "Latent Volatility Granger Causality and Spillovers in Renewable Energy and Crude Oil ETFs," Econometric Institute Research Papers TI 2018-052/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. George P. Papaioannou & Christos Dikaiakos & Christos Kaskouras & George Evangelidis & Fotios Georgakis, 2020. "Granger Causality Network Methods for Analyzing Cross-Border Electricity Trading between Greece, Italy, and Bulgaria," Energies, MDPI, vol. 13(4), pages 1-26, February.

  27. Asai, M. & Peiris, S. & McAleer, M.J. & Allen, D.E., 2018. "Cointegrated Dynamics for A Generalized Long Memory Process," Econometric Institute Research Papers EI 2018-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.

  28. Chang, C-L. & Hsu, S.-H. & McAleer, M.J., 2018. "An Event Study of Chinese Tourists to Taiwan," Econometric Institute Research Papers 2018-003/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Li-Ling Liu, 2025. "Do Natural Disasters Alter Tourism Industry Risks Differently over Time?," Mathematics, MDPI, vol. 13(13), pages 1-13, June.
    2. Guastella, Gianni & Mazzarano, Matteo & Pareglio, Stefano & Xepapadeas, Anastasios, 2022. "Climate reputation risk and abnormal returns in the stock markets: A focus on large emitters," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Nicolau, Juan Luis & Sharma, Abhinav, 2022. "A review of research into drivers of firm value through event studies in tourism and hospitality: Launching the Annals of Tourism Research curated collection on drivers of firm value through event studies in tourism and hospitality," Annals of Tourism Research, Elsevier, vol. 95(C).

  29. Allen, D.E. & McAleer, M.J. & McHardy Reid, D., 2018. "Fake News and Indifference to Truth," Econometric Institute Research Papers EI2018-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    4. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.

  30. Vo, A.T. & Van, L. T.-H. & Vo, D.H. & McAleer, M.J., 2018. "Financial Inclusion and Macroeconomic Stability in Emerging and Frontier Markets," Econometric Institute Research Papers EI-2018-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Nghiem Xuan Huy & Ngo Tien Nhat & Nguyen Thi Tuyet Anh & Luu Quoc Dat & Luu Huu Van, 2023. "Factors Influencing Online Professional Skills Training Programs for Lecturers: A Case Study of Vietnam National University, Hanoi, and its Implications on Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(2), pages 145-165, June.
    2. Jean-Claude Kouladoum & Muhamadu Awal Kindzeka Wirajing & Tii N. Nchofoung, 2022. "Digital Technologies and Financial Inclusion in Sub-Saharan Africa," Working Papers of the African Governance and Development Institute. 22/034, African Governance and Development Institute..
    3. Isaac Ofoeda & John Kwaku Mensah Mawutor & Dilys Nana Fosu-Hemaa Ohenebeng, 2024. "Financial inclusion, institutional quality and bank stability: evidence from sub-Saharan Africa," International Economics and Economic Policy, Springer, vol. 21(1), pages 27-64, February.
    4. Amiratul Nadiah Hasan & Mansor Ibrahim & Kinan Salim, 2026. "Financial inclusion and macroeconomic outcomes in developing economies: pre-COVID insights on growth, stability, and inequality," Future Business Journal, Springer, vol. 12(1), pages 1-14, December.
    5. Manh-Tung Ho & Ngoc-Thang B. Le & Hung-Long D. Tran & Quoc-Hung Nguyen & Manh-Ha Pham & Minh-Hoang Ly & Manh-Toan Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2021. "A Systematic and Critical Review on the Research Landscape of Finance in Vietnam from 2008 to 2020," JRFM, MDPI, vol. 14(5), pages 1-24, May.
    6. Muhammad Hussain & Farzan Yahya & Muhammad Waqas, 2021. "Does strong governance stimulate the effect of economic freedom and financial literacy on financial inclusion? a cross-country evidence," Future Business Journal, Springer, vol. 7(1), pages 1-10, December.
    7. Velenkosini Matsebula & Johannes Sheefeni, 2022. "Financial Inclusion and Macroeconomic Stability in South Africa," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 56-64, July.
    8. Anna Misztal & Magdalena Kowalska & Anita Fajczak-Kowalska & Otakar Strunecky, 2021. "Energy Efficiency and Decarbonization in the Context of Macroeconomic Stabilization," Energies, MDPI, vol. 14(16), pages 1-18, August.
    9. Jamil, Abd Rahim Md. & Law, Siong Hook & Mohamad Khair-Afham, M.S. & Trinugroho, Irwan, 2023. "Financial inclusion and economic uncertainty in developing countries: The role of digitalisation," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 786-806.
    10. Syed Aamir Aijaz & Grima Simon & Sood Kiran, 2024. "Assessing the Role of the Fintech Era on the Banking Stability of an Emerging Economy: Interaction Analysis of the Indian Banking Industry," Folia Oeconomica Stetinensia, Sciendo, vol. 24(1), pages 182-202.
    11. Ralph Stephen Leyeza & Mikka Marielle Boado & Obed Butacan & Donn Enrique Moreno & Lourdes Deocariza, 2023. "The Role of Loan-Related Risk Appetite in the Relationship between Financial Risk Considerations and MSME Growth Decision: A Mediation Analysis," JRFM, MDPI, vol. 16(5), pages 1-20, May.
    12. Vo, Duc & Vo, Anh, 2019. "Financial Inclusion and Economic growth: An International Evidence," MPRA Paper 103282, University Library of Munich, Germany.
    13. Folorunsho M. Ajide, 2021. "Shadow economy in Africa: how relevant is financial inclusion?," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 29(3), pages 297-316, April.
    14. Duc H. Vo & Nhan T. Nguyen, 2021. "Does financial inclusion improve bank performance in the Asian region?," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 123-135, November.
    15. Koranteng, Barbara & You, Kefei, 2025. "Does P2P lending promote the traditional bank-based financial inclusion? Spatial evidence from 34 developing economies," Research in International Business and Finance, Elsevier, vol. 77(PB).
    16. Tran Thi Kim Oanh, 2024. "Sustainable development: Driving force from the relationship between finance inclusion, green finance and green growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(3), pages 2811-2829, June.
    17. Mugabil Isayev, 2024. "Unraveling the interplay of financial inclusion, stability, and shadow banking in emerging markets," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-17, April.
    18. Ullah, Sabeeh & Begum, Maryam, 2025. "FinTech and financial sustainability: A mediating role of financial inclusion," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    19. Tufail Saira & Aljarallah Ruba & Munir Madiha & Alvi Shahzad & Ul Hassan Mehboob, 2025. "Financial Inclusion, Financial Depth, and Macroeconomic Fluctuations," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 19(1), pages 1-23.

  31. Xiaojuan Yu & Vincent van den Berg & Erik Verhoef, 2018. "Carpooling with heterogeneous users in the bottleneck model," Tinbergen Institute Discussion Papers 18-054/VIII, Tinbergen Institute.

    Cited by:

    1. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2022. "Ride-sharing with Inflexible Drivers in the Paris Metropolitan Area," Thema Working Papers 2022-03, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    2. Collins, Mor & Etzioni, Shelly & Ben-Elia, Eran, 2024. "Travel behavior and system dynamics in a simple gamified automated multimodal network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    3. Zhen Wang & Haiyun Chen & Ting Zhu & Jiazhen Huo, 2024. "Is It Necessarily Better for More Commuters to Share a Vehicle?," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    4. Huang, Zhihui & Long, Jiancheng & Szeto, W.Y. & Liu, Haoxiang, 2021. "Modeling and managing the morning commute problem with park-and-ride-sharing," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 190-226.
    5. Senlai Zhu & Hantao Yu & Congjun Fan, 2024. "Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    6. Wang, Xiaohan & Chen, Xiqun (Michael) & Xie, Chi & Cheong, Taesu, 2024. "Coordinative dispatching of shared and public transportation under passenger flow outburst," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    7. Konagane, Joji & Kono, Tatsuhito, 2021. "Heterogeneous Households’ Choices of Departure Time and Residential Location in a Multiple-origin Single-destination Rail System: Market Equilibrium and the First-best Solution," MPRA Paper 108507, University Library of Munich, Germany.
    8. Wu, Jiyan & Tian, Ye & Sun, Jian, 2023. "Managing ridesharing with incentives in a bottleneck model," Research in Transportation Economics, Elsevier, vol. 101(C).
    9. Hu, Shichun & Dessouky, Maged M. & Uhan, Nelson A. & Vayanos, Phebe, 2021. "Cost-sharing mechanism design for ride-sharing," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 410-434.
    10. Yang, Zhenyu & de Palma, André & Geroliminis, Nikolas, 2024. "Tailored priority allocation in the bottleneck model with general user heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 190(C).
    11. Shaygan, Maryam & Ardecani, Fatemeh Banani & Nejad, Mark, 2025. "Optimizing mixed traffic environments with shared and private autonomous vehicles: An equilibrium analysis of entrance permit and tradable credit strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    12. de Palma, André & Stokkink, Patrick & Geroliminis, Nikolas, 2022. "Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 479-498.
    13. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun & Liu, Ronghui, 2025. "Optimal spatial-temporal capacity allocation for morning commute with carpool considering parking supply constraint," Transport Policy, Elsevier, vol. 168(C), pages 157-167.
    14. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun & Liu, Ronghui, 2021. "Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 177-200.
    15. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    16. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2021. "Modelling Ridesharing in a Large Network with Dynamic Congestion," Thema Working Papers 2021-16, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    17. R. Lamotte & A. de Palma & N. Geroliminis, 2020. "Impacts of Metering-Based Dynamic Priority Schemes," Thema Working Papers 2020-14, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    18. Wang, Yao & Monchambert, Guillaume, 2026. "Does subsidy increase the use of carpooling via platforms? The case of short-distance carpooling in France," Transportation Research Part A: Policy and Practice, Elsevier, vol. 203(C).
    19. Sun, Jian & Wu, Jiyan & Xiao, Feng & Tian, Ye & Xu, Xiangdong, 2020. "Managing bottleneck congestion with incentives," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 143-166.

  32. Chang, C-L. & Mai, T.K. & McAleer, M.J., 2018. "Establishing National Carbon Emission Prices for China," Econometric Institute Research Papers 18-028/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Cui, Yuepeng & Zou, Fumin & Xu, Hao & Chen, Zhihui & Gong, Kuangmin, 2022. "A novel optimization-based method to develop representative driving cycle in various driving conditions," Energy, Elsevier, vol. 247(C).
    2. Song, Xiang & Wang, Dingyu & Zhang, Xuantao & He, Yuan & Wang, Yong, 2022. "A comparison of the operation of China's carbon trading market and energy market and their spillover effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Jin, Gui & Shi, Xin & Zhang, Lei & Hu, Shougeng, 2020. "Measuring the SCCs of different Chinese regions under future scenarios," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    4. I-Chun Tsai, 2025. "Has the outbreak of COVID-19 changed the carbon market?," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-38, February.
    5. Lin, Boqiang & Wesseh, Presley K., 2020. "On the economics of carbon pricing: Insights from econometric modeling with industry-level data," Energy Economics, Elsevier, vol. 86(C).
    6. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    7. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    8. Qingwei Shi & Hong Ren & Weiguang Cai & Jingxin Gao, 2020. "How to Set the Proper CO 2 Reduction Targets for the Provincial Building Sector of China?," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    9. Xu, Yingying & Salem, Sultan, 2021. "Explosive behaviors in Chinese carbon markets: are there price bubbles in eight pilots?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    10. Wesseh, Presley K. & Lin, Boqiang, 2021. "Bulk storage technologies in imperfect electricity markets under time-of-use pricing: Implications for the environment and social welfare," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Rundong Luo & Yan Li & Zhicheng Wang & Mengjiao Sun, 2022. "Co-Movement between Carbon Prices and Energy Prices in Time and Frequency Domains: A Wavelet-Based Analysis for Beijing Carbon Emission Trading System," IJERPH, MDPI, vol. 19(9), pages 1-15, April.
    12. Shang, Tiancheng & Yang, Lan & Liu, Peihong & Shang, Kaiti & Zhang, Yan, 2020. "Financing mode of energy performance contracting projects with carbon emissions reduction potential and carbon emissions ratings," Energy Policy, Elsevier, vol. 144(C).
    13. Li, Dezhi & Huang, Guanying & Zhu, Shiyao & Chen, Long & Wang, Jiangbo, 2021. "How to peak carbon emissions of provincial construction industry? Scenario analysis of Jiangsu Province," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    14. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    15. Dongxiao Niu & Tian Gao & Zhengsen Ji & Yujing Liu & Gengqi Wu, 2021. "Analysis of the Efficiency of Provincial Electricity Substitution in China Based on a Three-Stage DEA Model," Energies, MDPI, vol. 14(20), pages 1-17, October.
    16. Nong, Kaisen & Sun, Wenhao & Shen, Lei & Sun, Dongqi & Lin, Jiaan, 2024. "Future pathways for green hydrogen: Analyzing the nexus of renewable energy consumption and hydrogen development in Chinese cities," Renewable Energy, Elsevier, vol. 237(PA).

  33. Chia-Lin Chang & Michael McAleer, 2018. "The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions," Tinbergen Institute Discussion Papers 17-015/III, Tinbergen Institute.

    Cited by:

    1. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    2. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    3. Manabu Asai & Chia-Lin Chang & Michael McAleer & Laurent Pauwels, 2021. "Asymptotic and Finite Sample Properties for Multivariate Rotated GARCH Models," Econometrics, MDPI, vol. 9(2), pages 1-21, May.
    4. Chia-Lin Chang & Michael McAleer & Te-Ke Mai, 2018. "Establishing National Carbon Emission Prices for China," Documentos de Trabajo del ICAE 2018-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    6. Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2018. "Modeling extreme risks in commodities and commodity currencies," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 108-120.
    7. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    8. Michael McAleer, 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," Documentos de Trabajo del ICAE 2019-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Chia-Lin Chang & Michael McAleer & Shu-Han Hsu, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Documentos de Trabajo del ICAE 2018-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael & Pauwels, Laurent, 2019. "Asymptotic Theory for Rotated Multivariate GARCH Models," Working Papers BAWP-2019-03, University of Sydney Business School, Discipline of Business Analytics.
    11. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    12. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    13. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    14. Tan, A.C. & McAleer, M.J., 2017. "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Econometric Institute Research Papers 17-069/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    16. Guo, Xiaozhu & Huang, Yisu & Liang, Chao & Umar, Muhammad, 2022. "Forecasting volatility of EUA futures: New evidence," Energy Economics, Elsevier, vol. 110(C).
    17. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    18. Zhang, Chen & Yang, Yu & Yun, Po, 2020. "Risk measurement of international carbon market based on multiple risk factors heterogeneous dependence," Finance Research Letters, Elsevier, vol. 32(C).
    19. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

  34. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Buu-Chau Truong & Nguyen Van Thuan & Nguyen Huu Hau & Michael McAleer, 2019. "Applications of the Newton-Raphson Method in Decision Sciences and Education," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 52-80, December.
    2. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    3. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," JRFM, MDPI, vol. 12(1), pages 1-27, March.
    4. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    5. Burmaa Galaa & Enkhamgalan Byambajav & Kai-yin Woo & Amarbayasgalan Myagmar-Ochir & Saruultuya Tsendsuren, 2024. "Long-run relationship between insurance premiums and driving factors in Mongolia," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 116-136, June.

  35. Allen, D.E. & McAleer, M.J., 2018. ""Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond": Comment," Econometric Institute Research Papers EI 2018-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. JD Opdyke, 2025. "Beyond Correlation: Positive Definite Dependence Measures for Robust Inference, Flexible Scenarios, and Causal Modeling for Financial Portfolios," Papers 2504.15268, arXiv.org, revised Jan 2026.
    2. Wang, Christina Dan & Chen, Zhao & Lian, Yimin & Chen, Min, 2022. "Asset selection based on high frequency Sharpe ratio," Journal of Econometrics, Elsevier, vol. 227(1), pages 168-188.

  36. David E. Allen & Michael McAleer & David M. Reid, 2018. "Fake News and Indifference to Truth: Dissecting Tweets and State of the Union Addresses by Presidents Obama and Trump," Tinbergen Institute Discussion Papers 18-020/III, Tinbergen Institute.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    4. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.

  37. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News and Indifference to Scientific Fact: President Trump's Confused Tweets on Global Warming, Climate Change and Weather," Documentos de Trabajo del ICAE 2018-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News And Indifference To Truth: Dissecting Tweets And State Of The Union Addresses By Presidents Obama And Trump," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 180-203, December.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    4. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
    5. Álvaro-Francisco Morote & María Hernández, 2022. "What Do School Children Know about Climate Change? A Social Sciences Approach," Social Sciences, MDPI, vol. 11(4), pages 1-17, April.
    6. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  38. Silvia Garcia Mandico & Pilar (P.) Garcia-Gomez & Anne (A.C.) Gielen & Owen (O.A.) O'Donnell, 2018. "Earnings responses to disability benefit cuts," Tinbergen Institute Discussion Papers 18-023/V, Tinbergen Institute.

    Cited by:

    1. Koning, Pierre & Muller, Paul & Prudon, Roger, 2020. "Do Disability Benefits Hinder Work Resumption after Recovery?," IZA Discussion Papers 13971, IZA Network @ LISER.
    2. Chiara Dal Bianco, 2019. "Labour Supply and Welfare Effects of Disability Insurance: A Survey," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 5(1), pages 161-189, March.
    3. Liebert, Helge, 2019. "Does external medical review reduce disability insurance inflow?," Journal of Health Economics, Elsevier, vol. 64(C), pages 108-128.

  39. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Editorial Statement of Intent for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018," Econometric Institute Research Papers EI2018-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Michael McAleer, 2018. "22nd Anniversary Special Issue Of Advances In Decision Sciences (Ads), 1997-2018," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 1-12, December.
    3. Michael McAleer, 2019. "Summary of Advances in Decision Sciences (ADS) - 2019," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 81-93, December.

  40. Chang, C-L. & Mai, T.K. & McAleer, M.J., 2018. "Pricing Carbon Emissions in China," Econometric Institute Research Papers EI 2018-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Sangha, Kamaljit K. & Gerritsen, Rolf & Russell-Smith, Jeremy, 2019. "Repurposing government expenditure for enhancing Indigenous well-being in Australia: A scenario analysis for a new paradigm," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 75-91.
    2. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    3. Wai-Ming To & Peter K. C. Lee & Antonio K. W. Lau, 2021. "Economic and Environmental Changes in Shenzhen—A Technology Hub in Southern China," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    4. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    5. Yan, Kai & Zhang, Wei & Shen, Dehua, 2020. "Stylized facts of the carbon emission market in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).

  41. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Research Ideas for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018," Econometric Institute Research Papers EI2018-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Michael McAleer, 2018. "22nd Anniversary Special Issue Of Advances In Decision Sciences (Ads), 1997-2018," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 1-12, December.
    2. Michael McAleer, 2019. "Summary of Advances in Decision Sciences (ADS) - 2019," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 81-93, December.

  42. Zopiatis, A. & Savva, C.S. & Lambertides, N. & McAleer, M.J., 2017. "Tourism Stocks in Times of Crises: An Econometric Investigation of Unexpected Non-macroeconomic Factors," Econometric Institute Research Papers EI2017-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Yen E. Lam-González & Carmelo J. León & Javier de León & Chaitanya Suárez-Rojas, 2022. "The Impact of Degradation of Islands’ Land Ecosystems Due to Climate Change on Tourists’ Travel Decisions," Land, MDPI, vol. 11(10), pages 1-16, September.
    2. Qiuyun Wang & Lu Liu, 2022. "Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.

  43. McAleer, M.J. & Ryu, H.K. & Slottje, D.J., 2017. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Econometric Institute Research Papers EI2017-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Igor G. Pospelov & Stanislav A. Radionov, 2015. "Optimal Dividend Policy When Cash Surplus Follows The Telegraph Process," HSE Working papers WP BRP 48/FE/2015, National Research University Higher School of Economics.
    2. Sungik Kang & Hosung Woo & Ja-Hoon Koo, 2021. "Precarious Suicide Behavior According to Housing Price Gap: A Case Study on South Korea," IJERPH, MDPI, vol. 18(18), pages 1-15, September.
    3. Songyang Lyu & Sungik Kang & Ja-Hoon Koo, 2022. "Social Capital Inequality According to Hukou in Unequal Economic Environments in China," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    4. Sungik Kang & Ja-Hoon Koo, 2023. "Exploring Social Capital Level in Regions with Large and Increasing Wealth Inequality: Lesson from Seoul, South Korea," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 165-183, August.

  44. Chen, J. & Kobayashi, M. & McAleer, M.J., 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Econometric Institute Research Papers TI 2017-022/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. María Nieves López-García & Miguel Angel Sánchez-Granero & Juan Evangelista Trinidad-Segovia & Antonio Manuel Puertas & Francisco Javier De las Nieves, 2021. "Volatility Co-Movement in Stock Markets," Mathematics, MDPI, vol. 9(6), pages 1-19, March.

  45. Chang, C-L. & McAleer, M.J., 2017. "Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software," Econometric Institute Research Papers TI 2017 -046/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fang, Zhen, 2023. "Assessing the impact of renewable energy investment, green technology innovation, and industrialization on sustainable development: A case study of China," Renewable Energy, Elsevier, vol. 205(C), pages 772-782.
    2. Hailiang, Zeng & Chau, Ka Yin & Waqas, Muhammad, 2023. "Does green finance and renewable energy promote tourism for sustainable development: Empirical evidence from China," Renewable Energy, Elsevier, vol. 207(C), pages 660-671.

  46. Guo, X. & Li, G.-R. & McAleer, M.J. & Wong, W.-K., 2017. "Specification Testing of Production in a Stochastic Frontier Model," Econometric Institute Research Papers EI 2017-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    2. Kexin Li & Jianxu Liu & Yuting Xue & Sanzidur Rahman & Songsak Sriboonchitta, 2022. "Consequences of Ignoring Dependent Error Components and Heterogeneity in a Stochastic Frontier Model: An Application to Rice Producers in Northern Thailand," Agriculture, MDPI, vol. 12(8), pages 1-17, July.
    3. Mike G. Tsionas, 2019. "Robust Bayesian Inference in Stochastic Frontier Models," JRFM, MDPI, vol. 12(4), pages 1-9, December.
    4. Inkoom, Emmanuel Wisgtos & Dadzie, Samuel Kwesi Ndzebah & Ndebugri, Joseph, . "Promoting Improved Agricultural Technologies to Increase Smallholder Farm Production Efficiency: Ghanaian Study of Cassava Farmers," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 8(3).
    5. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    6. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    7. Hassan Jalil Shah & Jenho Peter Ou & Saman Attiq & Muhammad Umer & Wing-Keung Wong, 2022. "Does Inclusive Leadership Improve the Sustainability of Employee Relations? Test of Justice Theory and Employee Perceived Insider Status," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    8. Cheng, Ming-Yen & Wang, Shouxia & Xia, Lucy & Zhang, Xibin, 2024. "Testing specification of distribution in stochastic frontier analysis," Journal of Econometrics, Elsevier, vol. 239(2).
    9. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    10. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    11. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    12. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  47. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2017. "Connecting VIX and Stock Index ETF," Econometric Institute Research Papers 2016-010/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  48. Chang, C-L. & Hsu, H-K. & McAleer, M.J., 2017. "A Tourism Financial Conditions Index for Tourism Finance," Econometric Institute Research Papers TI 2017-071/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    2. Serdar Ongan & Cem Işik & Dilek Özdemir, 2017. "The Effects of Real Exchange Rates and Income on International Tourism Demand for the USA from Some European Union Countries," Economies, MDPI, vol. 5(4), pages 1-11, December.

  49. Asai, M. & McAleer, M.J. & Peiris, S., 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Econometric Institute Research Papers EI2017-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    2. Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024. "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
    3. Zea Bermúdez, Patricia de & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Xu, Buyun & Wu, Zhimin, 2025. "Real-time GARCH@CARR: A joint model of returns, realized measure of volatility and current intraday information," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    5. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    6. Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2024. "Forecasting Daily Volatility of Stock Price Index Using Daily Returns and Realized Volatility," Econometrics and Statistics, Elsevier, vol. 32(C), pages 34-56.
    7. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François & Jayaraman, Sarath Kumar, 2025. "A general option pricing framework for affine fractionally integrated models," Journal of Banking & Finance, Elsevier, vol. 171(C).
    8. Zhouwei Wang & Qicheng Zhao & Min Zhu & Tao Pang, 2020. "Jump Aggregation, Volatility Prediction, and Nonlinear Estimation of Banks’ Sustainability Risk," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    9. Jia Liu, 2021. "A Bayesian Semiparametric Realized Stochastic Volatility Model," JRFM, MDPI, vol. 14(12), pages 1-22, December.
    10. Manabu Asai, 2023. "Estimation of Realized Asymmetric Stochastic Volatility Models Using Kalman Filter," Econometrics, MDPI, vol. 11(3), pages 1-14, July.
    11. Asai, Manabu & McAleer, Michael & Peiris, Shelton, 2020. "Realized stochastic volatility models with generalized Gegenbauer long memory," Econometrics and Statistics, Elsevier, vol. 16(C), pages 42-54.
    12. Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2023. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," MPRA Paper 118459, University Library of Munich, Germany.
    13. Schatz, Michael & Wheatley, Spencer & Sornette, Didier, 2022. "The ARMA Point Process and its Estimation," Econometrics and Statistics, Elsevier, vol. 24(C), pages 164-182.
    14. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    15. Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
    16. Proietti, Tommaso & Pedregal, Diego J., 2023. "Seasonality in High Frequency Time Series," Econometrics and Statistics, Elsevier, vol. 27(C), pages 62-82.

  50. Chaipornkaew, P. & Prexawanprasut, T. & McAleer, M.J., 2017. "You’ve Got Email: a Workflow Management Extraction System," Econometric Institute Research Papers EI2017-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Piyanuch Chaipornkaew & Takorn Prexawanprasut & Chia-Lin Chang & Michael McAleer, 2017. "A Generalized Email Classification System for Workflow Analysis," Documentos de Trabajo del ICAE 2017-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  51. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    2. Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024. "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
    3. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    4. Zea Bermúdez, Patricia de & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    6. Xu, Buyun & Wu, Zhimin, 2025. "Real-time GARCH@CARR: A joint model of returns, realized measure of volatility and current intraday information," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    7. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    8. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François & Jayaraman, Sarath Kumar, 2025. "A general option pricing framework for affine fractionally integrated models," Journal of Banking & Finance, Elsevier, vol. 171(C).
    9. Chiranjit Dutta & Kara Karpman & Sumanta Basu & Nalini Ravishanker, 2023. "Review of Statistical Approaches for Modeling High-Frequency Trading Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-48, May.
    10. Zhouwei Wang & Qicheng Zhao & Min Zhu & Tao Pang, 2020. "Jump Aggregation, Volatility Prediction, and Nonlinear Estimation of Banks’ Sustainability Risk," Sustainability, MDPI, vol. 12(21), pages 1-17, October.
    11. Asai, M. & McAleer, M.J. & Peiris, S., 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Econometric Institute Research Papers EI2017-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Lorraine Muguto & Paul-Francois Muzindutsi, 2022. "A Comparative Analysis of the Nature of Stock Return Volatility in BRICS and G7 Markets," JRFM, MDPI, vol. 15(2), pages 1-27, February.
    13. Jia Liu, 2021. "A Bayesian Semiparametric Realized Stochastic Volatility Model," JRFM, MDPI, vol. 14(12), pages 1-22, December.
    14. Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2023. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," MPRA Paper 118459, University Library of Munich, Germany.
    15. Didit Budi Nugroho & Takayuki Morimoto, 2019. "Incorporating Realized Quarticity into a Realized Stochastic Volatility Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(4), pages 495-528, December.
    16. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

  52. Tan, A.C. & McAleer, M.J., 2017. "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Econometric Institute Research Papers 17-069/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kudbeddin Şeker & Ethem Kiliç, 2026. "Bitcoin, U.S. stock markets, and volatility: the interaction of digital assets with traditional markets," Digital Finance, Springer, vol. 8(1), pages 1-25, March.
    2. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    3. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    4. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    5. Artem Aganin & Anatoly Peresetsky, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    6. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    7. Katsiampa, Paraskevi, 2019. "Volatility co-movement between Bitcoin and Ether," Finance Research Letters, Elsevier, vol. 30(C), pages 221-227.
    8. Jose, Nithin & Jose, Babu & Varghese, James, 2022. "Is cross-hedging an effective strategy in equity futures market?," Finance Research Letters, Elsevier, vol. 50(C).

  53. Asai, M. & McAleer, M.J., 2017. "Forecasting the Volatility of Nikkei 225 Futures," Econometric Institute Research Papers TI 2017-017/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Masaaki Kijima & Christopher Ting, 2019. "Market Price Of Trading Liquidity Risk And Market Depth," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 1-36, December.
    2. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Leyre Muñoz, 2025. "Earthquakes and Stock Market Performance: Evidence from Japan," CESifo Working Paper Series 11822, CESifo.

  54. Niu, C. & Guo, X. & McAleer, M.J. & Wong, W.-K., 2017. "Theory and Application of an Economic Performance Measure of Risk," Econometric Institute Research Papers EI2017-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Bin Liu & Monica Tan, 2019. "Overconfidence and forecast accuracy," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 38(3), pages 601-618, July.
    2. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    3. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    4. Lu, Richard & Horng, Tzyy-Leng & Horng, Min-Sun & Wang, Amy Z.-H., 2023. "A performance evaluation of portfolio insurance under the Black and Scholes framework: An application of the economic index of riskiness," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 269-276.
    5. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    6. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Xu Guo & Cuizhen Niu & Wing-Keung Wong, 2019. "Farinelli and Tibiletti ratio and stochastic dominance," Risk Management, Palgrave Macmillan, vol. 21(3), pages 201-213, September.
    9. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    10. Hodoshima, Jiro & Yamawake, Toshiyuki, 2022. "Temporal aggregation of the Aumann–Serrano and Foster–Hart performance indexes," International Review of Financial Analysis, Elsevier, vol. 83(C).
    11. Jiro Hodoshima & Toshiyuki Yamawake, 2022. "Comparing Dynamic and Static Performance Indexes in the Stock Market: Evidence From Japan," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 171-193, June.
    12. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    13. Richard Lu & Chen-Chen Yang & Wing-Keung Wong, 2018. "Time Diversification: Perspectives From The Economic Index Of Riskiness," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-15, September.
    14. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    15. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    16. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  55. Chang, C-L. & McAleer, M.J., 2017. "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Econometric Institute Research Papers EI2017-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    2. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    3. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    4. Najam Iqbal & Muhammad Saqib Manzoor & Muhammad Ishaq Bhatti, 2021. "Asymmetry and Leverage with News Impact Curve Perspective in Australian Stock Returns’ Volatility during COVID-19," JRFM, MDPI, vol. 14(7), pages 1-15, July.
    5. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    6. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
    7. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    8. Bentes, Sonia R., 2018. "Is stock market volatility asymmetric? A multi-period analysis for five countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 258-265.
    9. Chia-Lin Chang & Michael McAleer & Shu-Han Hsu, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Documentos de Trabajo del ICAE 2018-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Banerjee, Ameet Kumar & Sensoy, Ahmet & Rahman, Molla Ramizur & Palma, Alessia, 2024. "Commonality in volatility among green, brown, and sustainable energy indices," Finance Research Letters, Elsevier, vol. 64(C).
    11. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    12. You-How Go & Wee-Yeap Lau, 2020. "Does Trading Volume explain the Information Flow of Crude Palm Oil Futures Returns?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 12(2), pages 115-136, December.
    13. Cristina Chinazzo & Vahidin Jeleskovic, 2024. "Forecasting Bitcoin Volatility: A Comparative Analysis of Volatility Approaches," Papers 2401.02049, arXiv.org.
    14. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    15. Dey, Asim K. & Hoque, G.M. Toufiqul & Das, Kumer P. & Panovska, Irina, 2022. "Impacts of COVID-19 local spread and Google search trend on the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    16. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.
    17. Merve Yıldırım & Durmus Yıldırım, 2026. "The Effects of Macroeconomic News Surprises on Borsa Istanbul Sectoral Indices: A Study with Volatility Models," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 10(4), pages 1495-1515.
    18. Rangan Gupta & Chi Keung Marco Lau & Seong-Min Yoon, 2019. "OPEC News Announcement Effect on Volatility in the Crude Oil Market: A Reconsideration," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 1-23, December.
    19. Carnero, M. Angeles & Pérez, Ana, 2019. "Leverage effect in energy futures revisited," Energy Economics, Elsevier, vol. 82(C), pages 237-252.
    20. Shadi Tehrani & Jesús Juan & Eduardo Caro, 2022. "Electricity Spot Price Modeling and Forecasting in European Markets," Energies, MDPI, vol. 15(16), pages 1-23, August.
    21. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    22. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.

  56. Chang, C-L. & McAleer, M.J., 2017. "The Fiction of Full BEKK," Econometric Institute Research Papers TI 2017-015/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    2. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    3. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    4. Kyriaki Begiazi & Paraskevi Katsiampa, 2019. "Modelling UK House Prices with Structural Breaks and Conditional Variance Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 290-309, February.
    5. David E. Allen & Michael McAleer, 2018. "Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management," Energies, MDPI, vol. 11(7), pages 1-19, June.

  57. Chang, C-L. & McAleer, M.J. & Zuo, G., 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Econometric Institute Research Papers EI 2017-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    2. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    3. Hira Aftab & A. B. M. Rabiul Alam Beg, 2021. "Does Time Varying Risk Premia Exist in the International Bond Market? An Empirical Evidence from Australian and French Bond Market," IJFS, MDPI, vol. 9(1), pages 1-13, January.
    4. Zhang, Xi & Li, Jian, 2018. "Credit and market risks measurement in carbon financing for Chinese banks," Energy Economics, Elsevier, vol. 76(C), pages 549-557.
    5. Chia-Lin Chang & Michael McAleer & Te-Ke Mai, 2018. "Establishing National Carbon Emission Prices for China," Documentos de Trabajo del ICAE 2018-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    7. Lau, Chi Keung & Soliman, Alaa M. & Albasu, Joseph & Gozgor, Giray, 2023. "Dependence structures among geopolitical risks, energy prices, and carbon emissions prices," Resources Policy, Elsevier, vol. 83(C).
    8. Chia-Lin Chang & Te-Ke Mai & Michael Mcaleer, 2018. "Pricing Carbon Emissions In China," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-37, September.
    9. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    10. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    11. Grzegorz Przekota, 2023. "Do Household Electricity Prices in European Union Countries Depend on the Energy Mix?," Energies, MDPI, vol. 16(21), pages 1-15, October.
    12. Chia-Lin Chang & Michael McAleer, 2018. "The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions," Documentos de Trabajo del ICAE 2018-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    13. Xolani Sibande & Riza Demirer & Mehmet Balcilar & Rangan Gupta, 2022. "On the Pricing Effects of Bitcoin Mining in the Fossil Fuel Market: The Case of Coal," Working Papers 202239, University of Pretoria, Department of Economics.
    14. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    15. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    16. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications," JRFM, MDPI, vol. 13(7), pages 1-19, July.
    17. Yaxue Yan & Weijuan Liang & Banban Wang & Xiaoling Zhang, 2023. "Spillover effect among independent carbon markets: evidence from China’s carbon markets," Economic Change and Restructuring, Springer, vol. 56(5), pages 3065-3093, October.
    18. Xia Wang & Lijun Zhang & Yaochen Qin & Jingfei Zhang, 2020. "Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors," Sustainability, MDPI, vol. 12(4), pages 1-15, February.
    19. Shailesh Rastogi & Chaitaly Athaley, 2019. "Volatility Integration in Spot, Futures and Options Markets: A Regulatory Perspective," JRFM, MDPI, vol. 12(2), pages 1-15, June.
    20. Cristiano Salvagnin & Vittorio del Tatto & Maria Elena De Giuli & Antonietta Mira & Aldo Glielmo, 2025. "Non-parametric Causal Discovery for EU Allowances Returns Through the Information Imbalance," Papers 2508.15667, arXiv.org.
    21. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    22. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

  58. McAleer, M.J., 2017. "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers TI 2017-082/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    2. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2018. "Latent Volatility Granger Causality and Spillovers in Renewable Energy and Crude Oil ETFs," Tinbergen Institute Discussion Papers 18-052/III, Tinbergen Institute.
    3. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    4. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    5. Chang, C-L. & Hsu, S.-H. & McAleer, M.J., 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Econometric Institute Research Papers 18-031/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Lu Yang & Jason Z. Ma & Shigeyuki Hamori, 2018. "Dependence Structures and Systemic Risk of Government Securities Markets in Central and Eastern Europe: A CoVaR-Copula Approach," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    7. Asai, M. & Chang, C-L. & McAleer, M.J. & Pauwels, L., 2018. "Asymptotic Theory for Rotated Multivariate GARCH Models," Econometric Institute Research Papers EI2018-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Jung-Bin Su & Jui-Cheng Hung, 2018. "The Value-At-Risk Estimate of Stock and Currency-Stock Portfolios’ Returns," Risks, MDPI, vol. 6(4), pages 1-42, November.

  59. Ning, M. & McAleer, M.J., 2017. "Re-Opening the Silk Road to Transform Chinese Trade," Econometric Institute Research Papers EI2017-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.

  60. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    2. Yuta Kurose, 2021. "Stochastic volatility model with range-based correction and leverage," Papers 2110.00039, arXiv.org, revised Oct 2021.
    3. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
    4. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    5. Catania, Leopoldo & Proietti, Tommaso, 2020. "Forecasting volatility with time-varying leverage and volatility of volatility effects," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1301-1317.
    6. Ewa Feder-Sempach & Piotr Szczepocki & Joanna Bogołębska, 2024. "Global uncertainty and potential shelters: gold, bitcoin, and currencies as weak and strong safe havens for main world stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    7. Ilya Archakov & Peter Reinhard Hansen, 2020. "A New Parametrization of Correlation Matrices," Papers 2012.02395, arXiv.org.
    8. Ilya Archakov & Peter Reinhard Hansen & Asger Lunde, 2020. "A Multivariate Realized GARCH Model," Papers 2012.02708, arXiv.org, revised Feb 2025.
    9. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    10. Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Documentos de Trabajo del ICAE 2016-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Han Chen & Yijie Fei & Jun Yu, 2026. "Multivariate Stochastic Volatility Model with Block Correlations," Working Papers 202638, University of Macau, Faculty of Business Administration.
    12. Yuta Kurose & Yasuhiro Omori, 2018. "Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1075, CIRJE, Faculty of Economics, University of Tokyo.
    13. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    14. Shirota, Shinichiro & Omori, Yasuhiro & F. Lopes, Hedibert. & Piao, Haixiang, 2017. "Cholesky realized stochastic volatility model," Econometrics and Statistics, Elsevier, vol. 3(C), pages 34-59.

  61. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    2. Ana Alzate-Ortega & Natalia Garzón & Jesús Molina-Muñoz, 2024. "Volatility Spillovers in Emerging Markets: Oil Shocks, Energy, Stocks, and Gold," Energies, MDPI, vol. 17(2), pages 1-19, January.
    3. Raphael Amaro & Carlos Pinho & Mara Madaleno, 2022. "Forecasting the Value-at-Risk of energy commodities: A comparison of models and alternative distribution functions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 77-101.
    4. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
    5. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Energies, MDPI, vol. 12(17), pages 1-17, September.
    6. Wang, Zongrun & Zhu, Huan & Mi, Yunlong, 2025. "Multidimensional risk contagions in commodity markets: A multi-layer information networks method," The North American Journal of Economics and Finance, Elsevier, vol. 79(C).
    7. Bouri, Elie & Gabauer, David & Gupta, Rangan & Tiwari, Aviral Kumar, 2021. "Volatility connectedness of major cryptocurrencies: The role of investor happiness," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    8. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila, 2024. "Has the EU Emissions Trading System Worked Properly?," Energies, MDPI, vol. 17(15), pages 1-15, July.
    9. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    10. Jiang, Ping & Liu, Zhenkun & Wang, Jianzhou & Zhang, Lifang, 2021. "Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm," Resources Policy, Elsevier, vol. 73(C).
    11. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    12. Baklaci, Hasan Fehmi & Aydoğan, Berna & Yelkenci, Tezer, 2020. "Impact of stock market trading on currency market volatility spillovers," Research in International Business and Finance, Elsevier, vol. 52(C).
    13. Trabelsi, Nader & Tiwari, Aviral Kumar & Hammoudeh, Shawkat, 2022. "Spillovers and directional predictability between international energy commodities and their implications for optimal portfolio and hedging," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    14. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

  62. Allen, D.E. & Chang, C-L. & McAleer, M.J. & Singh, A.K., 2016. "A Cointegration Analysis of Agricultural, Energy and Bio-Fuel Spot and Futures Prices," Econometric Institute Research Papers EI2016-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. József Popp & Judit Oláh & Mária Farkas Fekete & Zoltán Lakner & Domicián Máté, 2018. "The Relationship Between Prices of Various Metals, Oil and Scarcity," Energies, MDPI, vol. 11(9), pages 1-19, September.
    2. Puneet Vatsa, 2022. "Do crop prices share common trends and common cycles?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 363-382, April.
    3. Qingjie Zhou & Panpan Zhu & You Wu & Yinpeng Zhang, 2022. "Research on the Volatility of the Cotton Market under Different Term Structures: Perspective from Investor Attention," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    4. Tsuji, Chikashi, 2018. "New DCC analyses of return transmission, volatility spillovers, and optimal hedging among oil futures and oil equities in oil-producing countries," Applied Energy, Elsevier, vol. 229(C), pages 1202-1217.
    5. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Optimal quantile hedging under Markov regime switching," Empirical Economics, Springer, vol. 60(5), pages 2177-2201, May.
    6. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    7. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    8. Cheng, Natalie Fang Ling & Hasanov, Akram Shavkatovich & Poon, Wai Ching & Bouri, Elie, 2023. "The US-China trade war and the volatility linkages between energy and agricultural commodities," Energy Economics, Elsevier, vol. 120(C).
    9. Palazzi, Rafael Baptista & Meira, Erick & Klotzle, Marcelo Cabus, 2022. "The sugar-ethanol-oil nexus in Brazil: Exploring the pass-through of international commodity prices to national fuel prices," Journal of Commodity Markets, Elsevier, vol. 28(C).
    10. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
    11. Zhuo Chen & Bo Yan & Hanwen Kang & Liyu Liu, 2023. "Asymmetric price adjustment and price discovery in spot and futures markets of agricultural commodities," Review of Economic Design, Springer;Society for Economic Design, vol. 27(1), pages 139-162, February.
    12. Janda, Karel & Kravec, Peter, 2022. "VECM Modelling of the Price Dynamics for Fuels, Agricultural Commodities and Biofuels," EconStor Preprints 259404, ZBW - Leibniz Information Centre for Economics.
    13. Curtis McKnight & Feng Qiu & Marty Luckert & Grant Hauer, 2021. "Prices for a second‐generation biofuel industry in Canada: Market linkages between Canadian wheat and US energy and agricultural commodities," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(3), pages 337-351, September.
    14. Martinho, V.J.P.D., 2020. "Relationships between agricultural energy and farming indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

  63. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2016. "How are VIX and Stock Index ETF Related?," Econometric Institute Research Papers EI2016-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Melike Bildirici & Işıl Şahin Onat & Özgür Ömer Ersin, 2023. "Forecasting BDI Sea Freight Shipment Cost, VIX Investor Sentiment and MSCI Global Stock Market Indicator Indices: LSTAR-GARCH and LSTAR-APGARCH Models," Mathematics, MDPI, vol. 11(5), pages 1-27, March.
    4. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Lee, Chien-Chiang & Chen, Mei-Ping, 2020. "Happiness sentiments and the prediction of cross-border country exchange-traded fund returns," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    6. SOSA-CASTRO, Miriam, 2022. "Equity Market Volatility Impact On S&P 500 Sector Indexes, 1989-2021," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 22(1), pages 39-60.
    7. Chen, Ruoyu & Iqbal, Najaf & Irfan, Muhammad & Shahzad, Farrukh & Fareed, Zeeshan, 2022. "Does financial stress wreak havoc on banking, insurance, oil, and gold markets? New empirics from the extended joint connectedness of TVP-VAR model," Resources Policy, Elsevier, vol. 77(C).

  64. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Mustafa Gülerce & Gazanfer Ünal, 2017. "Forecasting Of Oil And Agricultural Commodity Prices: Varma Versus Arma," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-30, September.

  65. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Econometric Institute Research Papers EI2016-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Gambarelli, Luca & Muzzioli, Silvia, 2025. "News sentiment indicators and the cross-section of stock returns in the European stock market," International Review of Economics & Finance, Elsevier, vol. 101(C).
    2. Chinmoy Ghosh & Cristian Pinto‐Gutiérrez & Jaideep Shenoy, 2024. "Does negative news disclosure induce better decision‐making? Evidence from acquisitions," The Financial Review, Eastern Finance Association, vol. 59(2), pages 325-372, May.
    3. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News And Indifference To Truth: Dissecting Tweets And State Of The Union Addresses By Presidents Obama And Trump," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 180-203, December.
    4. Zhang, Heng-Guo & CAO, Tingting & Li, Houxuan & Xu, Tiantian, 2021. "Dynamic measurement of news-driven information friction in China's carbon market: Theory and evidence," Energy Economics, Elsevier, vol. 95(C).
    5. Yang, Shanxiang & Liu, Zhechen & Wang, Xinjie, 2020. "News sentiment, credit spreads, and information asymmetry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    6. Allen, D.E. & McAleer, M.J. & McHardy Reid, D., 2018. "Fake News and Indifference to Truth," Econometric Institute Research Papers EI2018-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    8. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Sentiment Series," Tinbergen Institute Discussion Papers 14-014/III, Tinbergen Institute.
    9. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
    10. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
    11. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.

  66. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2016. "Management Science, Economics and Finance: A Connection," Econometric Institute Research Papers EI2016-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    2. Mirkouei, Amin & Haapala, Karl R. & Sessions, John & Murthy, Ganti S., 2017. "A mixed biomass-based energy supply chain for enhancing economic and environmental sustainability benefits: A multi-criteria decision making framework," Applied Energy, Elsevier, vol. 206(C), pages 1088-1101.
    3. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    4. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    5. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    7. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    8. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," JRFM, MDPI, vol. 12(1), pages 1-27, March.
    9. Ngo Tung Hieu & Lam Minh Huy & Huynh Manh Phat & Nguyen Ngoc Phuong Anh & Wing-Keung Wong, 2020. "Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 15-65, June.
    10. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  67. Ning, M. & McAleer, M.J., 2016. "Theravada Buddhism and Thai Luxury Fashion Consumption," Econometric Institute Research Papers EI2016-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Ning, M. & McAleer, M.J., 2017. "Re-Opening the Silk Road to Transform Chinese Trade," Econometric Institute Research Papers EI2017-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Lim, Weng Marc & Phang, Cynthia Su Chen & Lim, Ai Ling, 2020. "The effects of possession- and social inclusion-defined materialism on consumer behavior toward economical versus luxury product categories, goods versus services product types, and individual versus group marketplace scenarios," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    3. Ning Mao & Michael McAleer & Shuyu Bai, 2017. "Impact of Psychological Needs on Luxury Consumption," Tinbergen Institute Discussion Papers 17-063/III, Tinbergen Institute.

  68. Guo, X. & McAleer, M.J. & Wong, W.-K. & Zhu, L., 2016. "A Bayesian Approach to Excess Volatility, Short-term Underreaction and Long-term Overreaction during Financial Crises," Econometric Institute Research Papers EI2016-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    2. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    5. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
    6. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    7. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    8. Islem Boutabba & Shin-Hung Pan & Wing-Keung Wong, 2025. "An Empirical Validation of a Behavioral Finance Model: The 52-week High as a Benchmark for an Index," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(4), pages 74-91.
    9. Li, Si & He, Fangyi & Shi, Fangquan, 2023. "Cognitive biases, downside risk shocks, and stock expected returns," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    10. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    11. Imlak Shaikh, 2019. "Behaviors of Stocks and Fear Index from Terrorist Attacks: Empirical Evidence from SENSEX and NVIX," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 18(2), pages 195-219, September.
    12. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    13. Praveen Kumar Tripathi & Manika Agarwal, 2024. "A Bayes Analysis of Random Walk Model Under Different Error Assumptions," Annals of Data Science, Springer, vol. 11(5), pages 1635-1652, October.
    14. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    15. Tareq Almazyad & Norhayati Zakuan & Laith Alrubaiee & Shamaila Butt & Azmirul Ashaari & Raghed IBRAHIM ESMAEEL, 2024. "Bibliometric Insights into Crisis Management: A Review of Key Literature," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 1-34, June.
    16. Riza Demirer & Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2019. "Equity Return Dispersion and Stock Market Volatility: Evidence from Multivariate Linear and Nonlinear Causality Tests," Sustainability, MDPI, vol. 11(2), pages 1-15, January.
    17. Lu, Richard & Yang, Chen-Chen & Wong, Wing-Keung, 2018. "Time Diversification: Perspectives from the Economic Index of Riskiness," MPRA Paper 89167, University Library of Munich, Germany, revised 02 Oct 2018.

  69. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    3. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan," Sustainability, MDPI, vol. 10(11), pages 1-77, November.
    5. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    6. McAleer, M.J., 2017. "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers TI 2017-082/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2018. "Latent Volatility Granger Causality and Spillovers in Renewable Energy and Crude Oil ETFs," Tinbergen Institute Discussion Papers 18-052/III, Tinbergen Institute.
    8. Hira Aftab & A. B. M. Rabiul Alam Beg, 2021. "Does Time Varying Risk Premia Exist in the International Bond Market? An Empirical Evidence from Australian and French Bond Market," IJFS, MDPI, vol. 9(1), pages 1-13, January.
    9. Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    12. Al-Fayoumi, Nedal & Abuzayed, Bana & Bouri, Elie, 2025. "Gold for global airline stock indices during COVID-19: Hedge or safe-haven asset?," Journal of Air Transport Management, Elsevier, vol. 127(C).
    13. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    14. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-031/III, Tinbergen Institute.
    15. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Ranajit Kumar Bairagi, 2022. "Dynamic Impacts of Economic Policy Uncertainty on Australian Stock Market: An Intercontinental Evidence," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 64-91, March.
    17. Qi, Yajie & Bai, Jiangyao & Liu, Shuhao, 2024. "Spillover dynamics among commodities along the Chinese oil industrial chain: From the perspective of multidimensional networks," International Review of Economics & Finance, Elsevier, vol. 96(PB).
    18. Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Uddin, Gazi Salah & Kang, Sang Hoon, 2019. "Can agricultural and precious metal commodities diversify and hedge extreme downside and upside oil market risk? An extreme quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 588-601.
    19. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    20. Karkowska, Renata & Urjasz, Szczepan, 2024. "Importance of geopolitical risk in volatility structure: New evidence from biofuels, crude oil, and grains commodity markets," Journal of Commodity Markets, Elsevier, vol. 36(C).
    21. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    22. Kumar, Pawan & Singh, Vipul Kumar & Rao, Sandeep, 2023. "Does the substitution effect lead to feedback effect linkage between ethanol, crude oil, and soft agricultural commodities?," Energy Economics, Elsevier, vol. 119(C).
    23. Restrepo, Natalia & Uribe, Jorge M. & Manotas, Diego, 2018. "Financial risk network architecture of energy firms," Applied Energy, Elsevier, vol. 215(C), pages 630-642.
    24. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    25. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    26. Sun, Qingru & Gao, Xiangyun & An, Haizhong & Guo, Sui & Liu, Xueyong & Wang, Ze, 2021. "Which time-frequency domain dominates spillover in the Chinese energy stock market?," International Review of Financial Analysis, Elsevier, vol. 73(C).
    27. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    28. Bilgili, Faik & Kocak, Emrah & Kuskaya, Sevda & Bulut, Umit, 2022. "Co-movements and causalities between ethanol production and corn prices in the USA: New evidence from wavelet transform analysis," Energy, Elsevier, vol. 259(C).
    29. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-003/III, Tinbergen Institute.
    30. Chang, Chia-Lin & McAleer, Michael, 2019. "The fiction of full BEKK: Pricing fossil fuels and carbon emissions," Finance Research Letters, Elsevier, vol. 28(C), pages 11-19.
    31. Manuel Landajo & María José Presno & Paula Fernández González, 2021. "Stationarity in the Prices of Energy Commodities. A Nonparametric Approach," Energies, MDPI, vol. 14(11), pages 1-16, June.
    32. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    33. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    34. Tonmoy Choudhury & Simone Scagnelli & Jaime Yong & Zhaoyong Zhang, 2021. "Non-Traditional Systemic Risk Contagion within the Chinese Banking Industry," Sustainability, MDPI, vol. 13(14), pages 1-16, July.

  70. Allen, D.E. & McAleer, M.J. & Powell, R.J. & Singh, A.K., 2016. "Volatility Spillover and Multivariate Volatility Impulse Response Analysis of GFC News Events," Econometric Institute Research Papers EI2016-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2024. "Volatility spillovers across the spot and futures oil markets after news announcements," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    2. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    3. Shi, Yujie & Wang, Liming & Ke, Jian, 2021. "Does the US-China trade war affect co-movements between US and Chinese stock markets?," Research in International Business and Finance, Elsevier, vol. 58(C).
    4. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    5. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    6. BenSaïda, Ahmed, 2019. "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, vol. 43(C), pages 78-95.
    7. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Political uncertainty, COVID-19 pandemic and stock market volatility transmission," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    8. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Financial contagion in the futures markets amidst global geo-economic events," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 288-308.
    9. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    10. Ghazani, Majid Mirzaee & Khosravi, Reza & Caporin, Massimiliano, 2023. "Analyzing interconnection among selected commodities in the 2008 global financial crisis and the COVID-19 pandemic," Resources Policy, Elsevier, vol. 80(C).

  71. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Muhammad Hanif, 2020. "Relationship between Oil and Stock Markets: Evidence from Pakistan Stock Exchange," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 150-157.
    2. Arthur J. Lin & Hai-Yen Chang, 2020. "Volatility Transmission from Equity, Bulk Shipping, and Commodity Markets to Oil ETF and Energy Fund—A GARCH-MIDAS Model," Mathematics, MDPI, vol. 8(9), pages 1-21, September.
    3. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    4. Al-Fayoumi, Nedal & Abuzayed, Bana & Bouri, Elie, 2025. "Gold for global airline stock indices during COVID-19: Hedge or safe-haven asset?," Journal of Air Transport Management, Elsevier, vol. 127(C).
    5. Zhang, Chuanguo & Mou, Xinjie & Ye, Shuping, 2022. "How do dynamic jumps in global crude oil prices impact China's industrial sector?," Energy, Elsevier, vol. 249(C).
    6. Jiliang Sheng & Juchao Li & Jun Yang, 2022. "Tail Dependency and Risk Spillover between Oil Market and Chinese Sectoral Stock Markets—An Assessment of the 2013 Refined Oil Pricing Reform," Energies, MDPI, vol. 15(16), pages 1-19, August.
    7. Yu-Ann Wang & Chia-Lin Chang, 2024. "Portfolio selection from risk transfer mechanisms in a time of crisis for renewable energy markets," KIER Working Papers 1108, Kyoto University, Institute of Economic Research.
    8. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

  72. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Alexopoulos, Thomas A., 2018. "To trust or not to trust? A comparative study of conventional and clean energy exchange-traded funds," Energy Economics, Elsevier, vol. 72(C), pages 97-107.
    2. Chang, Chia-Lin & McAleer, Michael & Wang, Yanghuiting, 2018. "Testing Co-Volatility spillovers for natural gas spot, futures and ETF spot using dynamic conditional covariances," Energy, Elsevier, vol. 151(C), pages 984-997.
    3. Niftiyev, Ibrahim & Bagirzadeh, Elshan, 2024. "A Comparative Study of Energy Sector’s Variability of Countries in the Organization of Turkic States," EconStor Conference Papers 313417, ZBW - Leibniz Information Centre for Economics.

  73. Caporin, M. & Chang, C-L. & McAleer, M.J., 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures Related for Intra-Day Data?," Econometric Institute Research Papers EI2016-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fredj Jawadi & Wael Louhichi & Hachmi Ben Ameur & Abdoulkarim Idi Cheffou, 2017. "On Oil-US Exchange Rate Volatility Relationships: an Intradaily Analysis," Working Papers hal-04141662, HAL.
    2. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    3. Ngo Thai Hung, 2020. "Identifying the Dynamic Connectedness between Propane and Oil Prices: Evidence from Wavelet Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 315-326.
    4. Jiaying Peng & Zhenghui Li & Benjamin M. Drakeford, 2020. "Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism," Energies, MDPI, vol. 13(17), pages 1-19, August.
    5. Bonaccolto, G. & Caporin, M. & Gupta, R., 2018. "The dynamic impact of uncertainty in causing and forecasting the distribution of oil returns and risk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 446-469.
    6. Choi, Ki-Hong & Nekhili, Ramzi & Mensi, Walid & Boubaker, Ferihane Zaraa & Yoon, Seong-Min, 2024. "Systemic risk-sharing between natural gas, oil, and stock markets in top energy producer and consumer countries," International Review of Economics & Finance, Elsevier, vol. 96(PA).
    7. Abdelkader Derbali & Tarek Chebbi, 2018. "Dynamic Equicorrelation between S&P500 Index and S&P GSCI," Working Papers hal-01695995, HAL.
    8. Jiang, Ping & Liu, Zhenkun & Wang, Jianzhou & Zhang, Lifang, 2021. "Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm," Resources Policy, Elsevier, vol. 73(C).
    9. Mao, Yaqi & Yu, Xiaobing & Liu, Jia & Wang, Feng & Zhang, Aixin & Zhu, Junhua, 2025. "Disentangling market drivers and macro uncertainty risks in crude oil futures pricing: A multi-scale quantile regression and causal forest approach," Energy, Elsevier, vol. 332(C).
    10. Łukasz Mamica & Kamil Makieła & Renata Wróbel-Rotter & Monika Mazur-Bubak & Jakub Głowacki & Michał Król & Paweł Bajołek, 2026. "The Relationship Between Liquefied Petroleum Gas and Crude Oil Prices: A Case Study of the Polish Fuel Market," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 23-38.
    11. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

  74. Bai, Z. & Li, H. & McAleer, M.J. & Wong, W.-K., 2016. "Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization," Econometric Institute Research Papers EI2016-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Ruike Wu & Yonghe Lu & Yanrong Yang, 2026. "Sustainable Investment: ESG Impacts on Large Portfolio," Papers 2602.14439, arXiv.org.
    2. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    3. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    6. Hui, Yongchang & Shi, Mengjie & Wong, Wing-Keung & Zheng, Shurong, 2024. "Pragmatic attitude to large-scale Markowitz’s portfolio optimization and factor-augmented derating," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    7. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    8. Drin, Svitlana & Mazur, Stepan & Muhinyuza, Stanislas, 2023. "A test on the location of tangency portfolio for small sample size and singular covariance matrix," Working Papers 2023:11, Örebro University, School of Business.
    9. Hassan Zada & Naveed Khan & Kai-Yin Woo & Sana Gaied Chortane, 2025. "Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(4), pages 1-37.
    10. Bai, Zhidong & Liu, Huixia & Wong, Wing-Keung, 2016. "Making Markowitz's Portfolio Optimization Theory Practically Useful," MPRA Paper 74360, University Library of Munich, Germany.

  75. Chang, C-L. & McAleer, M.J. & Tang, J-T., 2016. "Joint and Cross-border Patents as Proxies for International Technology Diffusion," Econometric Institute Research Papers EI2016-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fischer, Bruno Brandão & Schaeffer, Paola Rücker & Vonortas, Nicholas S., 2019. "Evolution of university-industry collaboration in Brazil from a technology upgrading perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 330-340.
    2. Wei Yang & Xiang Yu & Ben Zhang & Ziyang Huang, 2021. "Mapping the landscape of international technology diffusion (1994–2017): network analysis of transnational patents," The Journal of Technology Transfer, Springer, vol. 46(1), pages 138-171, February.
    3. Xiang Yu & Wantao Chen & Wei Yang, 2025. "Spatio-temporal evolution, country differences and the role of proximity: an investigation of international patenting," The Journal of Technology Transfer, Springer, vol. 50(2), pages 582-619, April.

  76. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn," Econometric Institute Research Papers EI2016-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    3. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2018. "Latent Volatility Granger Causality and Spillovers in Renewable Energy and Crude Oil ETFs," Tinbergen Institute Discussion Papers 18-052/III, Tinbergen Institute.
    5. Hira Aftab & A. B. M. Rabiul Alam Beg, 2021. "Does Time Varying Risk Premia Exist in the International Bond Market? An Empirical Evidence from Australian and French Bond Market," IJFS, MDPI, vol. 9(1), pages 1-13, January.
    6. Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    9. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-031/III, Tinbergen Institute.
    10. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    12. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    13. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-003/III, Tinbergen Institute.

  77. Peiris, S. & Asai, M. & McAleer, M.J., 2016. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," Econometric Institute Research Papers EI2016-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Lahmiri, Salim & Bekiros, Stelios, 2020. "Nonlinear analysis of Casablanca Stock Exchange, Dow Jones and S&P500 industrial sectors with a comparison," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
    2. Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.

  78. Chang, C-L. & McAleer, M.J., 2016. "A Simple Test for Causality in Volatility," Econometric Institute Research Papers EI2016-40, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    2. Pavel Kotyza & Katarzyna Czech & Michał Wielechowski & Luboš Smutka & Petr Procházka, 2021. "Sugar Prices vs. Financial Market Uncertainty in the Time of Crisis: Does COVID-19 Induce Structural Changes in the Relationship?," Agriculture, MDPI, vol. 11(2), pages 1-16, January.
    3. McAleer, M.J., 2017. "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers TI 2017-082/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    6. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Hamermesh, Daniel S. & Pfann, Gerard A., 2022. "The variability and volatility of sleep: An ARCHetypal behavior," Economics & Human Biology, Elsevier, vol. 47(C).
    8. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    10. Alessandra Amendola & Marinella Boccia & Vincenzo Candila & Giampiero M. Gallo, 2020. "Energy and non–energy Commodities: Spillover Effects on African Stock Markets," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 9(4), pages 1-7.
    11. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    12. Kim, Rebecca Chunghee & Yoo, Kate Inyoung & Uddin, Helal, 2018. "The Korean Air nut rage scandal: Domestic versus international responses to a viral incident," Business Horizons, Elsevier, vol. 61(4), pages 533-544.
    13. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.
    14. Muhammad Irfan Malik & Abdul Rashid, 2017. "Return And Volatility Spillover Between Sectoral Stock And Oil Price: Evidence From Pakistan Stock Exchange," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-22, June.
    15. Miles, Sandra Jeanquart & McCamey, Randy, 2018. "The candidate experience: Is it damaging your employer brand?," Business Horizons, Elsevier, vol. 61(5), pages 755-764.

  79. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  80. García-Hiernaux, A. & Guerrero, D.E. & McAleer, M.J., 2015. "Market Integration Dynamics and Asymptotic Price Convergence in Distribution," Econometric Institute Research Papers EI2015-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Garcia-Hiernaux, Alfredo & Gonzalez-Perez, Maria T. & Guerrero, David E., 2023. "Eurozone prices: A tale of convergence and divergence," Economic Modelling, Elsevier, vol. 126(C).
    2. Zhao, Xin & Calvin, Katherine V. & Wise, Marshall A. & Iyer, Gokul, 2021. "The role of global agricultural market integration in multiregional economic modeling: Using hindcast experiments to validate an Armington model," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 1-17.
    3. Li, Lang & Luo, Nengsheng, 2025. "Is market integration conducive to carbon reduction? Evidence from Chinese cities," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1595-1611.
    4. David Gray, 2021. "A simple measure of beta-convergence revisited," Urban Studies, Urban Studies Journal Limited, vol. 58(12), pages 2569-2583, September.

  81. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Tom Coupé & Thomas Logchies & W. Robert Reed, 2024. "Do Replications Receive Fewer Citations? A Counterfactual Approach," Working Papers in Economics 24/18, University of Canterbury, Department of Economics and Finance.
    2. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.

  82. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.

    Cited by:

    1. McAleer, M.J., 2015. "Research Ideas for the Journal of Informatics and Data Mining: Opinion," Econometric Institute Research Papers EI2015-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. József Popp & Péter Balogh & Judit Oláh & Sebastian Kot & Mónika Harangi Rákos & Péter Lengyel, 2018. "Social Network Analysis of Scientific Articles Published by Food Policy," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    3. Juan Felipe Núñez-Espinoza & Francisco Ernesto Martínez-Castañeda & Fernando Ávila-Pérez & María Camila Rendón-Rendón, 2022. "A Structural Approach to Some Contradictions in Worldwide Swine Production and Health Research," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    4. Michael McAleer & Judit Olah & Jozsef Popp, 2018. "Pros and Cons of the Impact Factor in a Rapidly Changing Digital World," Tinbergen Institute Discussion Papers 18-014/III, Tinbergen Institute.
    5. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  83. Michalis Drouvelis & Joep Sonnemans, 2015. "The Endowment Effect in Games," Tinbergen Institute Discussion Papers 15-114/I, Tinbergen Institute.

    Cited by:

    1. Hanying Zhang & Jiafen Li & Jinlong Shen & Jianfeng Song, 2022. "Measurement of Supply-and Demand-Side Endowment Effects and Analysis of Their Influencing Factors in Agricultural Land Transfer," Land, MDPI, vol. 11(11), pages 1-21, November.
    2. Brebner, Sarah & Sonnemans, Joep, 2018. "Does the elicitation method impact the WTA/WTP disparity?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 73(C), pages 40-45.

  84. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Informatics, Data Mining, Econometrics and Financial Economics: A Connection," Econometric Institute Research Papers EI2015-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    3. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    5. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    6. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    8. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    9. Sel Ly & Kim-Hung Pho & Sal Ly & Wing-Keung Wong, 2019. "Determining Distribution for the Quotients of Dependent and Independent Random Variables by Using Copulas," JRFM, MDPI, vol. 12(1), pages 1-27, March.
    10. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    11. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  85. Allen, D.E. & McAleer, M.J. & Powell, R.J. & Singh, A.K., 2015. "Multivariate Volatility Impulse Response Analysis of GFC News Events," Econometric Institute Research Papers EI2015-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 277-285.

  86. Thomas Peeters & Steven Salaga & Matthew Juravich, 2015. "Matching and Winning? The Impact of Upper and Middle Managers on Team Performance in Major League Baseball," Tinbergen Institute Discussion Papers 15-115/VII, Tinbergen Institute, revised 03 Mar 2020.

    Cited by:

    1. Bergantiños, Gustavo & Moreno-Ternero, Juan D., 2021. "Monotonicity in sharing the revenues from broadcasting sports leagues," MPRA Paper 105643, University Library of Munich, Germany.
    2. Kaori Narita & J.D. Tena & Babatunde Buraimo, 2022. "Causal and Consequences of Multiple Dismissals: Evidence from Italian Football League," Working Papers 202226, University of Liverpool, Department of Economics.
    3. Clochard Gwen-Jirō & Carlos Gomez-Gonzalez & Marco Henriques Pereira, 2025. "Better the Devil You Know: Managers’ Networks, Hiring Decisions and Team Performance," ISER Discussion Paper 1275, Institute of Social and Economic Research, The University of Osaka.
    4. Thomas (T.L.P.R.) Peeters & Stefan Szymanski & Marko Terviö, 2017. "The inefficient advantage of experience in the market for football managers," Tinbergen Institute Discussion Papers 17-116/VII, Tinbergen Institute.

  87. McAleer, M.J., 2015. "The Fundamental Equation in Tourism Finance," Econometric Institute Research Papers EI2015-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2017. "A Tourism Financial Conditions Index for Tourism Finance," Tinbergen Institute Discussion Papers 17-071/III, Tinbergen Institute.
    2. Zopiatis, A. & Savva, C.S. & Lambertides, N. & McAleer, M.J., 2016. "Tourism Stocks in Times of Crises: an Econometric Investigation of Non-macro Factors," Econometric Institute Research Papers TI 2016-104/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan," Sustainability, MDPI, vol. 10(11), pages 1-77, November.
    4. Daniela Firoiu & George H. Ionescu & Roxana Bădîrcea & Luminița Vochița & Maria Enescu, 2019. "Sustainable Development of Mountain Hotels through the Implementation of International Management Standards: The Romanian Case," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    5. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    6. Chia-Lin Chang & Michael McAleer & Shu-Han Hsu, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Documentos de Trabajo del ICAE 2018-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Anastasios Zopiatis & Christos S. Savva & Neophytos Lambertides & Michael McAleer, 2017. "Tourism Stocks in Times of Crises: An Econometric Investigation of Unexpected Non-macroeconomic Factors," Tinbergen Institute Discussion Papers 17-052/III, Tinbergen Institute.
    8. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An event study of chinese tourists to Taiwan," Documentos de Trabajo del ICAE 2018-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  88. Ling, S. & McAleer, M.J. & Tong, H., 2015. "Frontiers in Time Series and Financial Econometrics," Econometric Institute Research Papers EI 2015-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & María de la Cruz Del Río-Rama & José Álvarez-García, 2022. "Using Markov-Switching Models in US Stocks Optimal Portfolio Selection in a Black–Litterman Context (Part 1)," Mathematics, MDPI, vol. 10(8), pages 1-28, April.
    2. Wabukala, Benard M. & Bergland, Olvar & Otim, Jacob & Elasu, Joseph & Muwanga, Robert & Adaramola, Muyiwa S., 2025. "Keeping the lights on: Assessing energy dynamics and electricity security in Uganda," Energy, Elsevier, vol. 330(C).

  89. Chang, C-L. & Li, Y. & McAleer, M.J., 2015. "Volatility Spillovers Between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Econometric Institute Research Papers EI2015-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    3. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    4. Zhicheng Liang & Junwei Wang & Kin Keung Lai, 2020. "Dependence Structure Analysis and VaR Estimation Based on China’s and International Gold Price: A Copula Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 169-193, February.
    5. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "How are VIX and Stock Index ETF Related?," Documentos de Trabajo del ICAE 2016-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Massimiliano Caporin & Chia-Lin Chang & Michael McAleer, 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures Related for Intra-Day Data?," Documentos de Trabajo del ICAE 2016-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Albores, Isaac, 2025. "Quantile Connectedness and Tail Risks: Interactions between Energy and Agricultural Markets," 2025 AAEA & WAEA Joint Annual Meeting, July 27-29, 2025, Denver, CO 360695, Agricultural and Applied Economics Association.
    8. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    10. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    11. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2018. "Latent Volatility Granger Causality and Spillovers in Renewable Energy and Crude Oil ETFs," Tinbergen Institute Discussion Papers 18-052/III, Tinbergen Institute.
    12. Matteo Bonato & Rangan Gupta & Chi Keung Marco Lau & Shixuan Wang, 2019. "Moments-Based Spillovers across Gold and Oil Markets," Working Papers 201966, University of Pretoria, Department of Economics.
    13. Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2015. "Multivariate Volatility Impulse Response Analysis of GFC News Events," Documentos de Trabajo del ICAE 2015-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    15. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2017. "Volatility spillover and multivariate volatility impulse response analysis of GFC news events," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3246-3262, July.
    16. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Energies, MDPI, vol. 12(17), pages 1-17, September.
    18. Shu-Han Hsu, 2022. "Investigating the Co-Volatility Spillover Effects between Cryptocurrencies and Currencies at Different Natures of Risk Events," JRFM, MDPI, vol. 15(9), pages 1-15, August.
    19. Gaoke Liao & Zhenghui Li & Ziqing Du & Yue Liu, 2019. "The Heterogeneous Interconnections between Supply or Demand Side and Oil Risks," Energies, MDPI, vol. 12(11), pages 1-17, June.
    20. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    21. Chang, Chia-Lin & Mai, Te-Ke & McAleer, Michael, 2019. "Establishing national carbon emission prices for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 1-16.
    22. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-031/III, Tinbergen Institute.
    23. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    25. Karkowska, Renata & Urjasz, Szczepan, 2024. "Importance of geopolitical risk in volatility structure: New evidence from biofuels, crude oil, and grains commodity markets," Journal of Commodity Markets, Elsevier, vol. 36(C).
    26. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    27. Cui, Jinxin & Goh, Mark & Li, Binlin & Zou, Huiwen, 2021. "Dynamic dependence and risk connectedness among oil and stock markets: New evidence from time-frequency domain perspectives," Energy, Elsevier, vol. 216(C).
    28. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    29. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    30. Zaharieva, Martina Danielova & Virbickaitė, Audronė & Santos, André Portela, 2025. "Intraday volatility transmission in global energy markets: A Bayesian nonparametric approach," Journal of Commodity Markets, Elsevier, vol. 39(C).
    31. Allen, D.E. & Chang, C-L. & McAleer, M.J. & Singh, A.K., 2016. "A Cointegration Analysis of Agricultural, Energy and Bio-Fuel Spot and Futures Prices," Econometric Institute Research Papers EI2016-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    32. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    33. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

  90. Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015. "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers EI2015-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jaime de Jesus Filho & Paulo Matos & Ronald Fonseca, 2023. "The Role of Contagion and Integration in Risk Management Measures," Global Business Review, International Management Institute, vol. 24(5), pages 1111-1128, October.
    2. Duc Hong Vo & Ngoc Phu Tran & Tam Nguyen-Thanh Duong & Michael McAleer, 2019. "Risk analysis of energy in Vietnam," Documentos de Trabajo del ICAE 2019-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Valeria Bignozzi & Corrado De Vecchi, 2025. "Risk bounds under right-tail uncertainty," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 48(2), pages 2025-2059, December.
    4. Stephan Eckstein & Michael Kupper & Mathias Pohl, 2020. "Robust risk aggregation with neural networks," Mathematical Finance, Wiley Blackwell, vol. 30(4), pages 1229-1272, October.
    5. Bernardo K. Pagnoncelli & Domingo Ramírez & Hamed Rahimian & Arturo Cifuentes, 2023. "A Synthetic Data-Plus-Features Driven Approach for Portfolio Optimization," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 187-204, June.
    6. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    7. Stephan Eckstein & Michael Kupper & Mathias Pohl, 2018. "Robust risk aggregation with neural networks," Papers 1811.00304, arXiv.org, revised May 2020.
    8. Sonia Benito & Carmen López-Martín & Mª Ángeles Navarro, 2023. "Assessing the importance of the choice threshold in quantifying market risk under the POT approach (EVT)," Risk Management, Palgrave Macmillan, vol. 25(1), pages 1-31, March.
    9. Caio Mário Mesquita & Cristiano Arbex Valle & Adriano César Machado Pereira, 2024. "Scenario Generation for Financial Data with a Machine Learning Approach Based on Realized Volatility and Copulas," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1879-1919, May.
    10. Owusu Junior, Peterson & Alagidede, Imhotep, 2020. "Risks in emerging markets equities: Time-varying versus spatial risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    11. Osmundsen, Kjartan Kloster, 2018. "Using expected shortfall for credit risk regulation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 80-93.
    12. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.
    13. Adam Bouyamourn & Alexander Williams Tolbert, 2025. "Escaping the Subprime Trap in Algorithmic Lending," Papers 2502.17816, arXiv.org, revised Nov 2025.

  91. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015. "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers EI2015-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Tinbergen Institute Discussion Papers 15-056/III, Tinbergen Institute.

  92. Chang, C-L. & McAleer, M.J. & Wu, Y-C., 2015. "Industrial Agglomeration and Use of the Internet," Econometric Institute Research Papers EI2015-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chen, Shang-Yu, 2016. "Using the sustainable modified TAM and TPB to analyze the effects of perceived green value on loyalty to a public bike system," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 58-72.

  93. Shiqing Ling & Michael McAleer & Howell Tong, 2015. "Frontiers in Time Series and Financial Econometrics: An Overview," Tinbergen Institute Discussion Papers 15-026/III, Tinbergen Institute.

    Cited by:

    1. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & María de la Cruz Del Río-Rama & José Álvarez-García, 2022. "Using Markov-Switching Models in US Stocks Optimal Portfolio Selection in a Black–Litterman Context (Part 1)," Mathematics, MDPI, vol. 10(8), pages 1-28, April.
    2. Wabukala, Benard M. & Bergland, Olvar & Otim, Jacob & Elasu, Joseph & Muwanga, Robert & Adaramola, Muyiwa S., 2025. "Keeping the lights on: Assessing energy dynamics and electricity security in Uganda," Energy, Elsevier, vol. 330(C).

  94. Allen, D.E. & McAleer, M.J. & Peiris, S. & Singh, A.K., 2015. "Nonlinear time series and neural-network models of exchange rates between the US dollar and major currencies," Econometric Institute Research Papers EI2015-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Vincenzo Candila & Lucio Palazzo, 2020. "Neural Networks and Betting Strategies for Tennis," Risks, MDPI, vol. 8(3), pages 1-19, June.
    2. Nicola Rubino, 2021. "In- and Out-of-Sample Performance of Nonlinear Models in International Price Differential Forecasting in a Commodity Country Framework," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 9(2), pages 107-127.
    3. Fatbardha Morina & Eglantina Hysa & Uğur Ergün & Mirela Panait & Marian Catalin Voica, 2020. "The Effect of Exchange Rate Volatility on Economic Growth: Case of the CEE Countries," JRFM, MDPI, vol. 13(8), pages 1-13, August.
    4. Angelos Kanas & Angelos Kotios & Panagiotis D. Zervopoulos, 2019. "Semi-parametric real exchange rates dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 643-656, February.
    5. Marinakis, Yorgos D. & White, Reilly & Walsh, Steven T., 2020. "Lotka–Volterra signals in ASEAN currency exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).

  95. Asai, M. & McAleer, M.J., 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Econometric Institute Research Papers EI 2015-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    2. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    3. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Working Papers 201925, University of Pretoria, Department of Economics.
    4. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    5. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
    6. Rangan Gupta & Christian Pierdzioch, 2024. "Multi-Task Forecasting of the Realized Volatilities of Agricultural Commodity Prices," Mathematics, MDPI, vol. 12(18), pages 1-26, September.
    7. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Qu, Hui & Zhang, Yi, 2022. "Asymmetric multivariate HAR models for realized covariance matrix: A study based on volatility timing strategies," Economic Modelling, Elsevier, vol. 106(C).
    9. Chorro, Christophe & Ielpo, Florian & Sévi, Benoît, 2020. "The contribution of intraday jumps to forecasting the density of returns," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    10. Yaojie Zhang & Yu Wei & Li Liu, 2019. "Improving forecasting performance of realized covariance with extensions of HAR-RCOV model: statistical significance and economic value," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1425-1438, September.
    11. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    12. Wu, Shujie & Huang, Joshua & Serra, Teresa, 2024. "The Economic Value of Intraday Data in Hedging Commodity Spot Prices," 2024 Conference, April 22-23, 2024, St. Louis, Missouri 379012, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    13. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

  96. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2015. "Daily Market News Sentiment and Stock Prices," Econometric Institute Research Papers EI2015-23, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Cai, Yi & Tang, Zhenpeng & Chen, Ying, 2024. "Can real-time investor sentiment help predict the high-frequency stock returns? Evidence from a mixed-frequency-rolling decomposition forecasting method," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    2. Gambarelli, Luca & Muzzioli, Silvia, 2025. "News sentiment indicators and the cross-section of stock returns in the European stock market," International Review of Economics & Finance, Elsevier, vol. 101(C).
    3. Shahid Raza & Sun Baiqing & Pwint Kay-Khine & Muhammad Ali Kemal, 2023. "Uncovering the Effect of News Signals on Daily Stock Market Performance: An Econometric Analysis," IJFS, MDPI, vol. 11(3), pages 1-25, August.
    4. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2024. "Dual effects of investor sentiment and uncertainty in financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 300-315.
    5. Boufateh, Talel & Saadaoui, Zied & Jiao, Zhilun, 2025. "On the time-varying responses of Fintech stock returns to geopolitical, financial and market sentiment shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 101(C).
    6. Tang, Zhenpeng & Lin, Qiaofeng & Cai, Yi & Chen, Kaijie & Liu, Dinggao, 2024. "Harnessing the power of real-time forum opinion: Unveiling its impact on stock market dynamics using intraday high-frequency data in China," International Review of Financial Analysis, Elsevier, vol. 93(C).
    7. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    8. Lukas Petrasek & Jiri Kukacka, 2025. "US equity announcement risk premia," Review of Quantitative Finance and Accounting, Springer, vol. 65(1), pages 345-363, July.
    9. Jiang, Jiaqi & Zhang, Zhipeng & Cheng, Gongpin, 2024. "Corporate violations, traditional media and stock returns: Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 69(PA).
    10. Tian Guo & Emmanuel Hauptmann, 2024. "Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow," Papers 2407.18103, arXiv.org, revised Aug 2024.
    11. Seetharam, Yudhvir & Nyakurukwa, Kingstone, 2024. "Do optimistic portfolios outperform pessimistic portfolios: Evidence from textual sentiment," Economics Letters, Elsevier, vol. 242(C).
    12. Farrell, Hugh & O'Connor, Fergal, 2025. "The CNN Fear and Greed Index as a predictor of US equity index returns: Static and time-varying Granger causality," Finance Research Letters, Elsevier, vol. 72(C).
    13. Na, Haejung & Kim, Soonho, 2021. "Predicting stock prices based on informed traders’ activities using deep neural networks," Economics Letters, Elsevier, vol. 204(C).
    14. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Sentiment Series," Tinbergen Institute Discussion Papers 14-014/III, Tinbergen Institute.
    15. Mohamed Arbi Madani, 2025. "The S&P 500 sectoral indices responses to economic news sentiment," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 2042-2060, April.
    16. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    17. Zhang, Junhuan & Zhang, Ziyan & Wen, Jiaqi, 2025. "A multifactor model using large language models and multimodal investor sentiment," International Review of Economics & Finance, Elsevier, vol. 102(C).
    18. Allen, D.E. & McAleer, M.J., 2019. "Fake News and Propaganda: Trump's Democratic America and Hitler's National Socialist (Nazi) Germany," Econometric Institute Research Papers EI2019-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Anca Ioana, Iacob (Troto), 2021. "Investor Sentiment - Theoretical Aspects And Practical Conclusions, In The Context Of The Pandemic Crisis," Management Strategies Journal, Constantin Brancoveanu University, vol. 51(1), pages 122-128.
    20. Krystian M. Zawadzki & Marcin Potrykus, 2023. "Stock Markets’ Reactions to the Announcement of the Hosts. An Event Study in the Analysis of Large Sporting Events in the Years 1976–2032," Journal of Sports Economics, , vol. 24(6), pages 759-800, August.
    21. Steven Buigut and Burcu Kapar, 2022. "Do COVID-19 Incidence and Government Intervention Influence Media Indices?," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 79-100.
    22. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    23. Fabian Billert & Stefan Conrad, 2024. "A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40," Papers 2409.20397, arXiv.org.
    24. Yao, Can-Zhong & Li, Hong-Yu, 2020. "Time-varying lead–lag structure between investor sentiment and stock market," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    25. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    26. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Econometric Institute Research Papers EI2016-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    27. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2021. "Stock Market’s responses to intraday investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    28. Zihan Dong & Xinyu Fan & Zhiyuan Peng, 2024. "FNSPID: A Comprehensive Financial News Dataset in Time Series," Papers 2402.06698, arXiv.org.
    29. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    30. Kao, Yu-Sheng & Day, Min-Yuh & Chou, Ke-Hsin, 2024. "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    31. Chou, Ke-Hsin & Day, Min-Yuh & Chiu, Chien-Liang, 2023. "Do bitcoin news information flow and return volatility fit the sequential information arrival hypothesis and the mixture of distribution hypothesis?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 365-385.
    32. Wei Guo, 2025. "Can Chinese stock market volatility forecast US news sentiment?," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4503-4523, October.

  97. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Working Papers in Economics 14/10, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    2. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    3. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
    5. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Andrea Bucci & Michele Palma & Chao Zhang, 2024. "Geometric Deep Learning for Realized Covariance Matrix Forecasting," Papers 2412.09517, arXiv.org.
    7. Shiqing Ling & Michael McAleer & Howell Tong, 2015. "Frontiers in Time Series and Financial Econometrics: An Overview," Tinbergen Institute Discussion Papers 15-026/III, Tinbergen Institute.
    8. Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
    9. Asai, M. & McAleer, M.J., 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Econometric Institute Research Papers EI 2015-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Jan Patrick Hartkopf, 2023. "Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models," Empirical Economics, Springer, vol. 64(1), pages 393-436, January.
    11. Yaojie Zhang & Yu Wei & Li Liu, 2019. "Improving forecasting performance of realized covariance with extensions of HAR-RCOV model: statistical significance and economic value," Quantitative Finance, Taylor & Francis Journals, vol. 19(9), pages 1425-1438, September.
    12. Xin Jin & Jia Liu & Qiao Yang, 2021. "Does the Choice of Realized Covariance Measures Empirically Matter? A Bayesian Density Prediction Approach," Econometrics, MDPI, vol. 9(4), pages 1-22, December.
    13. Ding, Yi & Engle, Robert & Li, Yingying & Zheng, Xinghua, 2025. "Multiplicative factor model for volatility," Journal of Econometrics, Elsevier, vol. 249(PB).
    14. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    15. Ling, S. & McAleer, M.J. & Tong, H., 2015. "Frontiers in Time Series and Financial Econometrics," Econometric Institute Research Papers EI 2015-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Gribisch, Bastian & Hartkopf, Jan Patrick, 2023. "Modeling realized covariance measures with heterogeneous liquidity: A generalized matrix-variate Wishart state-space model," Journal of Econometrics, Elsevier, vol. 235(1), pages 43-64.
    17. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    18. Marchese, Malvina & Kyriakou, Ioannis & Tamvakis, Michael & Di Iorio, Francesca, 2020. "Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models," Energy Economics, Elsevier, vol. 88(C).
    19. Zhu, Hui-Ming & Li, ZhaoLai & You, WanHai & Zeng, Zhaofa, 2015. "Revisiting the asymmetric dynamic dependence of stock returns: Evidence from a quantile autoregression model," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 142-153.
    20. Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020. "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 1-20.
    21. Jin, Xin & Maheu, John M & Yang, Qiao, 2017. "Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices," MPRA Paper 81920, University Library of Munich, Germany.
    22. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

  98. McAleer, Michael & Hafner, Christian, 2014. "A One Line Derivation of EGARCH," LIDAM Reprints ISBA 2014030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    Cited by:

    1. Chia-Lin Chang & Michael McAleer, 2017. "The Fiction of Full BEKK," Documentos de Trabajo del ICAE 2017-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    3. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    4. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Documentos de Trabajo del ICAE 2015-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Swarn Chatterjee & Amy Hubble, 2016. "Day-Of-The-Week Effect In Us Biotechnology Stocks — Do Policy Changes And Economic Cycles Matter?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-17, June.
    6. Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Working Papers in Economics 14/21, University of Canterbury, Department of Economics and Finance.
    7. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    8. Massimiliano Caporin & Chia-Lin Chang & Michael McAleer, 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures Related for Intra-Day Data?," Documentos de Trabajo del ICAE 2016-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chia-Lin Chang & Michael McAleer, 2017. "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Tinbergen Institute Discussion Papers 17-056/III, Tinbergen Institute.
    11. Zopiatis, A. & Savva, C.S. & Lambertides, N. & McAleer, M.J., 2016. "Tourism Stocks in Times of Crises: an Econometric Investigation of Non-macro Factors," Econometric Institute Research Papers TI 2016-104/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    13. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan," Sustainability, MDPI, vol. 10(11), pages 1-77, November.
    15. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    16. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    17. Urom, Christian & Onwuka, Kevin O. & Uma, Kalu E. & Yuni, Denis N., 2020. "Regime dependent effects and cyclical volatility spillover between crude oil price movements and stock returns," International Economics, Elsevier, vol. 161(C), pages 10-29.
    18. Andreï Kostyrka & Dmitry Malakhov, 2021. "Was there ever a shift: Empirical analysis of structural-shift tests for return volatility," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 110-139.
    19. Michael McAleer, 2014. "Asymmetry and Leverage in Conditional Volatility Models," Econometrics, MDPI, vol. 2(3), pages 1-6, September.
    20. Najam Iqbal & Muhammad Saqib Manzoor & Muhammad Ishaq Bhatti, 2021. "Asymmetry and Leverage with News Impact Curve Perspective in Australian Stock Returns’ Volatility during COVID-19," JRFM, MDPI, vol. 14(7), pages 1-15, July.
    21. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    23. Elena Villar-Rubio & María-Dolores Huete-Morales & Federico Galán-Valdivieso, 2023. "Using EGARCH models to predict volatility in unconsolidated financial markets: the case of European carbon allowances," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 13(3), pages 500-509, September.
    24. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Chia-Lin Chang & Michael McAleer, 2018. "The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions," Tinbergen Institute Discussion Papers 17-015/III, Tinbergen Institute.
    26. David E. Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Documentos de Trabajo del ICAE 2017-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    27. Usha Rekha Chinthapalli, 2021. "A Comparative Analysis on Probability of Volatility Clusters on Cryptocurrencies, and FOREX Currencies," JRFM, MDPI, vol. 14(7), pages 1-23, July.
    28. Pierre J. Venter & Eben Maré, 2020. "GARCH Generated Volatility Indices of Bitcoin and CRIX," JRFM, MDPI, vol. 13(6), pages 1-15, June.
    29. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    30. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    31. Dey, Asim K. & Hoque, G.M. Toufiqul & Das, Kumer P. & Panovska, Irina, 2022. "Impacts of COVID-19 local spread and Google search trend on the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    32. Yuki Toyoshima, 2018. "Testing for Causality-In-Mean and Variance between the UK Housing and Stock Markets," JRFM, MDPI, vol. 11(2), pages 1-10, April.
    33. Chang, C-L. & Hsu, S.-H. & McAleer, M.J., 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Econometric Institute Research Papers 18-031/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    34. Karima Saci, 2022. "Modelling the Relationship Between Trading Volume and Stock Returns Volatility for Islamic and Conventional Banks: The Case of Saudi Arabia نمذجة العلاقة بين حجم التداول وتقلب عوائد الأسهم للبنوك الإسلامية والتقليدية: حالة المملكة العربية السعودية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 35(1), pages 41-55, January.
    35. Trifonov, Juri & Potanin, Bogdan, 2024. "GARCH-M model with an asymmetric risk premium: Distinguishing between ‘good’ and ‘bad’ volatility periods," International Review of Financial Analysis, Elsevier, vol. 91(C).
    36. Ayuba Napari, 2026. "Cryptoization and Volatility of the Exchange Rate in Nigeria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 98-115.
    37. Usman M. Umer, Metin Coskun, Kasim Kiraci, 2018. "Time-varying Return and Volatility Spillover among EAGLEs Stock Markets: A Multivariate GARCH Analysis," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 3(1), pages 23-42, March.
    38. Nader Trabelsi & Aviral Kumar Tiwari, 2023. "CO2 Emission Allowances Risk Prediction with GAS and GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 775-805, February.
    39. Philip Hans Franses & Eva Janssens, 2017. "Recovering Historical Inflation Data from Postage Stamps Prices," JRFM, MDPI, vol. 10(4), pages 1-11, November.
    40. Yeguang Chi & Wenyan Hao, 2020. "A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option Markets," Papers 2010.07402, arXiv.org.
    41. Swarn Chatterjee, 2017. "Day of the Week Effect in biotechnology stocks: An Application of the GARCH processes," Papers 1701.07175, arXiv.org.
    42. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-003/III, Tinbergen Institute.
    43. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    44. Victor Shevchuk & Roman Kopych, 2021. "Exchange Rate Volatility, Currency Misalignment, and Risk of Recession in the Central and Eastern European Countries," Risks, MDPI, vol. 9(5), pages 1-19, May.
    45. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    46. Chang, Chia-Lin & Hsu, Hui-Kuang & McAleer, Michael, 2014. "The impact of China on stock returns and volatility in the Taiwan tourism industry," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 381-401.
    47. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
    48. Tonmoy Choudhury & Simone Scagnelli & Jaime Yong & Zhaoyong Zhang, 2021. "Non-Traditional Systemic Risk Contagion within the Chinese Banking Industry," Sustainability, MDPI, vol. 13(14), pages 1-16, July.

  99. Chia-Lin Chang & Michael McAleer, 2014. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Working Papers in Economics 14/01, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Valérie Mignon & Marc Joëts & Bertrand Candelon, 2023. "What Makes Econometric Ideas Popular: The Role of Connectivity," EconomiX Working Papers 2023-35, University of Paris Nanterre, EconomiX.
    3. Christian Zimmermann, 2013. "Academic Rankings with RePEc," Econometrics, MDPI, vol. 1(3), pages 1-32, December.
    4. David L. Anderson & John Tressler, 2017. "Researcher rank stability across alternative output measurement schemes in the context of a time limited research evaluation: the New Zealand case," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4542-4553, September.
    5. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    6. Franklin G. Mixon, Jr. & Kamal P. Upadhyaya, 2021. "Scholarly Impact of Core Econometrics Journals: A Catalog and Citations-Based Ranking," International Econometric Review (IER), Economic Research Association, vol. 13(4), pages 118-131, December.
    7. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Raphael Auer & Giulio Cornelli & Christian Zimmermann, 2023. "A journal ranking based on central bank citations," BIS Working Papers 1139, Bank for International Settlements.
    9. Ferda, HALICIOGLU, 2014. "Research Ranking Place of Turkish Economists in the World," MPRA Paper 54058, University Library of Munich, Germany.
    10. David L. Anderson & John Tressler, 2015. "Are Researcher Rankings Stable Across Alternative Output Measurement Schemes in the Context of a Time Limited Research Evaluation? The New Zealand Case," Working Papers in Economics 15/10, University of Waikato.
    11. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    12. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  100. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "European Market Portfolio Diversifcation Strategies across the GFC," Working Papers in Economics 14/25, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2014. "Hedge Fund Portfolio Diversification Strategies Across the GFC," Working Papers in Economics 14/27, University of Canterbury, Department of Economics and Finance.
    2. Víctor Adame-García & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2017. "“Resolution of optimization problems and construction of efficient portfolios: An application to the Euro Stoxx 50 index"," IREA Working Papers 201702, University of Barcelona, Research Institute of Applied Economics, revised Feb 2017.

  101. Chia-Lin Chang & Michael McAleer, 2014. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences," Working Papers in Economics 14/08, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Tom Coupé & Thomas Logchies & W. Robert Reed, 2025. "Do replications receive fewer citations? A counterfactual approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(4), pages 2403-2423, April.
    3. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.

  102. Chang, C-L. & McAleer, M.J., 2014. "Econometric Analysis of Financial Derivatives," Econometric Institute Research Papers EI 2015-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    2. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," Econometric Institute Research Papers EI2018-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2016. "How are VIX and Stock Index ETF Related?," Econometric Institute Research Papers EI2016-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  103. Kazumitsu Nawata & Michael McAleer, 2014. "The Maximum Number of Parameters for the Hausman Test When the Estimators are from Different Sets of Equations," Working Papers in Economics 14/02, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Kazumitsu Nawata, 2015. "Robust estimation based on the third-moment restriction of the error terms for the Box-Cox transformation model: An estimator consistent under heteroscedasticity," Economics Bulletin, AccessEcon, vol. 35(2), pages 1056-1064.

  104. Shawkat Hammoudeh & Michael McAleer, 2014. "Advances in Financial Risk Management and Economic Policy Uncertainty: An Overview," Working Papers in Economics 14/17, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Sharif Mozumder & Arafatur Rahman, 2016. "Market Risk Of Investment In Us Subprime Crisis: Comparison Of A Pure Diffusion And A Pure Jump Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-17, September.
    2. Chen, Yu-Lun & Mo, Wan-Shin & Qin, Rong-Ling & Yang, J. Jimmy, 2023. "Return spillover across China's financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    3. Balcilar, Mehmet & Kutan, Ali M. & Yaya, Mehmet E., 2017. "Financial integration in small Islands: The case of Cyprus," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 201-219.
    4. Saumya Ranjan Dash & Debasish Maitra & Byomakesh Debata & Jitendra Mahakud, 2021. "Economic policy uncertainty and stock market liquidity: Evidence from G7 countries," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 611-626, June.
    5. Yu, Xiaoling & Huang, Yirong, 2021. "The impact of economic policy uncertainty on stock volatility: Evidence from GARCH–MIDAS approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
    6. Liu, Dehong & Gu, Hongmei & Xing, Tiancai, 2016. "The meltdown of the Chinese equity market in the summer of 2015," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 504-517.
    7. Asongu, Simplice & Adegboye, Alex & Ejemeyovwi, Jeremiah & Umukoro, Olaoluwa, 2021. "The Mobile Phone Technology, Gender Inclusive Education and Public Accountability in Sub-Saharan Africa," MPRA Paper 109847, University Library of Munich, Germany.
    8. Golab, Anna & Bannigidadmath, Deepa & Pham, Thach Ngoc & Thuraisamy, Kannan, 2022. "Economic policy uncertainty and industry return predictability – Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 433-447.
    9. Sylwia Bąk, 2023. "The Embedment of Risk Management in Enterprise Management System," International Journal of Contemporary Management, Sciendo, vol. 59(2), pages 1-16, June.
    10. Sifat, Imtiaz & Zarei, Alireza & Hosseini, Seyedmehdi & Bouri, Elie, 2022. "Interbank liquidity risk transmission to large emerging markets in crisis periods," International Review of Financial Analysis, Elsevier, vol. 82(C).
    11. Carmen Orden‐Cruz & Jessica Paule‐Vianez & Júlio Lobão, 2023. "The effect of Economic Policy Uncertainty on the credit risk of US commercial banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3420-3436, July.
    12. Lucía Morales & Bernadette Andreosso-O’Callaghan, 2019. "Challenges and Opportunities Brought to the Chinese Economy by Brexit and the New US Administration," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2), pages 145-171, August.
    13. Ozili, Peterson Kitakogelu, 2021. "Economic policy uncertainty in banking: a literature review," MPRA Paper 108017, University Library of Munich, Germany.
    14. Polyzos, Stathis & Samitas, Aristeidis & Kampouris, Ilias, 2021. "Economic stimulus through bank regulation: Government responses to the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    15. Sun, Xiaolei & Yao, Xiaoyang & Wang, Jun, 2017. "Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework," Finance Research Letters, Elsevier, vol. 21(C), pages 214-221.
    16. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    17. Cheng, Feiyang & Wang, Chunfeng & Cui, Xin & Wu, Ji & He, Feng, 2021. "Economic policy uncertainty exposure and stock price bubbles: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 78(C).
    18. Xie, Xiaoyu & Zhu, Heliang, 2021. "The role of gold futures in mitigating the impact of economic uncertainty on spot prices: Evidence from China," Research in International Business and Finance, Elsevier, vol. 56(C).
    19. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.
    20. Fan He & Xuansen He, 2019. "A Continuous Differentiable Wavelet Shrinkage Function for Economic Data Denoising," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 729-761, August.
    21. Chen, Shaojian & Mao, Hui & Feng, Zongxian, 2020. "Political uncertainty and firm entry: Evidence from Chinese manufacturing industries," Journal of Business Research, Elsevier, vol. 120(C), pages 16-30.
    22. Li, Xiao-Ming & Peng, Lu, 2017. "US economic policy uncertainty and co-movements between Chinese and US stock markets," Economic Modelling, Elsevier, vol. 61(C), pages 27-39.
    23. Nguyen, Canh Phuc & Le, Thai-Ha & Su, Thanh Dinh, 2020. "Economic policy uncertainty and credit growth: Evidence from a global sample," Research in International Business and Finance, Elsevier, vol. 51(C).
    24. Serdar Ongan & Ismet Gocer, 2017. "Testing The Causalities Between Economic Policy Uncertainty And The Us Stock Indices: Applications Of Linear And Nonlinear Approaches," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-20, December.
    25. Balli, Faruk & Hasan, Mudassar & Ozer-Balli, Hatice & Gregory-Allen, Russell, 2021. "Why do U.S. uncertainties drive stock market spillovers? International evidence," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 288-301.
    26. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

  105. Christian M. Hafner & Michael McAleer, 2014. "A One Line Derivation of DCC: Application of a Vector Random Coefficient Moving Average Process," Working Papers in Economics 14/19, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    3. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    4. Chia-Lin Chang & Yiying Li & Michael McAleer, 2015. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Tinbergen Institute Discussion Papers 15-077/III, Tinbergen Institute.
    5. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    6. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn," Econometric Institute Research Papers EI2016-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  106. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Financial Conditions Index," Working Papers in Economics 14/13, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    2. Serdar Ongan & Cem Işik & Dilek Özdemir, 2017. "The Effects of Real Exchange Rates and Income on International Tourism Demand for the USA from Some European Union Countries," Economies, MDPI, vol. 5(4), pages 1-11, December.

  107. Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Working Papers in Economics 14/21, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer, 2017. "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Tinbergen Institute Discussion Papers 17-056/III, Tinbergen Institute.
    3. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    4. Yongdeng Xu, 2025. "The exponential HEAVY model: an improved approach to volatility modeling and forecasting," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 727-748, August.
    5. Urom, Christian & Onwuka, Kevin O. & Uma, Kalu E. & Yuni, Denis N., 2020. "Regime dependent effects and cyclical volatility spillover between crude oil price movements and stock returns," International Economics, Elsevier, vol. 161(C), pages 10-29.
    6. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    7. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
    9. Xiaoyi Shen & Albert K. Tsui & Zhaoyong Zhang, 2019. "Volatility Timing in CPF Investment Funds in Singapore: Do They Outperform Non-CPF Funds?," Risks, MDPI, vol. 7(4), pages 1-16, October.
    10. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    11. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Blasques, Francisco & van Brummelen, Janneke & Gorgi, Paolo & Koopman, Siem Jan, 2024. "Maximum Likelihood Estimation for Non-Stationary Location Models with Mixture of Normal Distributions," Journal of Econometrics, Elsevier, vol. 238(1).
    13. You-How Go & Wee-Yeap Lau, 2020. "Does Trading Volume explain the Information Flow of Crude Palm Oil Futures Returns?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 12(2), pages 115-136, December.
    14. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    15. Xu, Yongdeng, 2024. "Extended multivariate EGARCH model: A model for zero†return and negative spillovers," Cardiff Economics Working Papers E2024/24, Cardiff University, Cardiff Business School, Economics Section.
    16. Dey, Asim K. & Hoque, G.M. Toufiqul & Das, Kumer P. & Panovska, Irina, 2022. "Impacts of COVID-19 local spread and Google search trend on the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    17. Rangan Gupta & Chi Keung Marco Lau & Seong-Min Yoon, 2019. "OPEC News Announcement Effect on Volatility in the Crude Oil Market: A Reconsideration," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 1-23, December.
    18. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn," Econometric Institute Research Papers EI2016-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Zhang, Junru & Zhang, Zhaoyong, 2021. "CSR, Media and Stock Illiquidity: Evidence from Chinese Listed Financial Firms," Finance Research Letters, Elsevier, vol. 41(C).
    20. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    21. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.

  108. Michael McAleer, 2014. "Asymmetry and Leverage in Conditional Volatility Models," Working Papers in Economics 14/24, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer, 2017. "The Fiction of Full BEKK," Documentos de Trabajo del ICAE 2017-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    3. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Documentos de Trabajo del ICAE 2015-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Swarn Chatterjee & Amy Hubble, 2016. "Day-Of-The-Week Effect In Us Biotechnology Stocks — Do Policy Changes And Economic Cycles Matter?," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 1-17, June.
    5. Chia-Lin Chang & Michael McAleer, 2016. "A Simple Test for Causality in Volatility," Tinbergen Institute Discussion Papers 16-094/III, Tinbergen Institute.
    6. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "How are VIX and Stock Index ETF Related?," Documentos de Trabajo del ICAE 2016-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Massimiliano Caporin & Chia-Lin Chang & Michael McAleer, 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures Related for Intra-Day Data?," Documentos de Trabajo del ICAE 2016-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    9. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chia-Lin Chang & Michael McAleer, 2017. "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Tinbergen Institute Discussion Papers 17-056/III, Tinbergen Institute.
    11. Zopiatis, A. & Savva, C.S. & Lambertides, N. & McAleer, M.J., 2016. "Tourism Stocks in Times of Crises: an Econometric Investigation of Non-macro Factors," Econometric Institute Research Papers TI 2016-104/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," Econometric Institute Research Papers EI2019-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan," Sustainability, MDPI, vol. 10(11), pages 1-77, November.
    14. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    15. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    16. Milton Abdul Thorlie & Lixin Song & Muhammad Amin & Xiaoguang Wang, 2015. "Modeling and forecasting of stock index volatility with APARCH models under ordered restriction," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(3), pages 329-356, August.
    17. Leh-Chyan So & Jun-Yang Yu, 2015. "IMPROVED DETECTION OF RARE-EVENT RISK OF A PORTFOLIO WITH U.S. REITs," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-25, December.
    18. Kanungo, Rama Prasad, 2021. "Uncertainty of M&As under asymmetric estimation," Journal of Business Research, Elsevier, vol. 122(C), pages 774-793.
    19. Demos Antonis & Kyriakopoulou Dimitra, 2019. "Finite-Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," Journal of Time Series Econometrics, De Gruyter, vol. 11(1), pages 1-20, January.
    20. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    22. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
    23. Rodolfo Angelo Magtanggol Iii De Guzman & Mike K. P. So, 2018. "Empirical Analysis Of Bitcoin Prices Using Threshold Time Series Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-24, December.
    24. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    25. Michael McAleer, 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," Documentos de Trabajo del ICAE 2019-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    26. Chia-Lin Chang & Michael McAleer & Shu-Han Hsu, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Documentos de Trabajo del ICAE 2018-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    27. Asai, Manabu & McAleer, Michael, 2015. "Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance," Journal of Econometrics, Elsevier, vol. 189(2), pages 251-262.
    28. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2016. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn," Documentos de Trabajo del ICAE 2016-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    30. Stanislav Anatolyev & Stanislav Khrapov, 2015. "Right on Target, or Is it? The Role of Distributional Shape in Variance Targeting," Econometrics, MDPI, vol. 3(3), pages 1-23, August.
    31. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    32. Chia-Lin Chang & Michael McAleer, 2018. "The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions," Tinbergen Institute Discussion Papers 17-015/III, Tinbergen Institute.
    33. Anastasios Zopiatis & Christos S. Savva & Neophytos Lambertides & Michael McAleer, 2017. "Tourism Stocks in Times of Crises: An Econometric Investigation of Unexpected Non-macroeconomic Factors," Tinbergen Institute Discussion Papers 17-052/III, Tinbergen Institute.
    34. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    35. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    36. Guillaume Gaetan Martinet & Michael McAleer, 2015. "On the Invertibility of EGARCH(p,q)," Tinbergen Institute Discussion Papers 15-022/III, Tinbergen Institute.
    37. Lidija Dedi & Burhan F. Yavas, 2016. "Return and volatility spillovers in equity markets: An investigation using various GARCH methodologies," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1266788-126, December.
    38. Maurice Omane‐Adjepong & Imhotep Paul Alagidede, 2021. "Modelling Asymmetry and Leverage in Cryptocurrencies and Emerging Financial Markets," Economic Papers, The Economic Society of Australia, vol. 40(2), pages 152-166, June.
    39. Ayuba Napari, 2026. "Cryptoization and Volatility of the Exchange Rate in Nigeria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 98-115.
    40. Wang, Gang-Jin & Ma, Xin-yu & Wu, Hao-yu, 2020. "Are stablecoins truly diversifiers, hedges, or safe havens against traditional cryptocurrencies as their name suggests?," Research in International Business and Finance, Elsevier, vol. 54(C).
    41. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An event study of chinese tourists to Taiwan," Documentos de Trabajo del ICAE 2018-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    42. Lönnbark, Carl, 2017. "Long vs. short term asymmetry in volatility and the term structure of risk," Finance Research Letters, Elsevier, vol. 23(C), pages 202-209.
    43. Swarn Chatterjee, 2017. "Day of the Week Effect in biotechnology stocks: An Application of the GARCH processes," Papers 1701.07175, arXiv.org.
    44. Rangan Gupta & Mark E. Wohar, 2019. "Presidential Cycles In The Usa And The Dollar-Pound Exchange Rate: Evidence From Over Two Centuries," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 151-163, June.
    45. Stavros Stavroyiannis, 2017. "A note on the Nelson Cao inequality constraints in the GJR-GARCH model: Is there a leverage effect?," Papers 1705.00535, arXiv.org.
    46. Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
    47. So, Mike K.P. & Chung, Ray S.W., 2015. "Statistical inference for conditional quantiles in nonlinear time series models," Journal of Econometrics, Elsevier, vol. 189(2), pages 457-472.
    48. Rivera-Alonso, David & Iglesias, Emma M., 2024. "Is the Chinese crude oil spot price a good hedging tool for other crude oil prices, and in special for the main Russian oil benchmarks and during international sanctions?," Resources Policy, Elsevier, vol. 90(C).
    49. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High Frequency Impact Of Monetary Policy And Macroeconomic Surprises On Us Msas, Aggregate Us Housing Returns And Asymmetric Volatility," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 204-229, December.
    50. Kwame Annin & Kofi Agyarko Ababio & Solomon Sarpong, 2025. "Dynamic Risk Spillover in International Real Estate Investment Trusts: Implications for Asset Investors," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(4), pages 1519-1550, December.
    51. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
    52. Marín Díazaraque, Juan Miguel & Romero, Eva & Lopes Moreira da Veiga, María Helena, 2024. "A stochastic volatility model for volatility asymmetry and propagation," DES - Working Papers. Statistics and Econometrics. WS 43887, Universidad Carlos III de Madrid. Departamento de Estadística.
    53. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.
    54. Mohamed M. Sraieb & Shahnawaz Muhammed & Vladimir Dženopoljac & Samet Gunay, 2025. "Determinants of Russia’s probability of default: evidence from domestic and global indicators," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 49(3), pages 854-882, September.

  109. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2014. "Hedge Fund Portfolio Diversification Strategies Across the GFC," Working Papers in Economics 14/27, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Víctor Adame-García & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2017. "“Resolution of optimization problems and construction of efficient portfolios: An application to the Euro Stoxx 50 index"," IREA Working Papers 201702, University of Barcelona, Research Institute of Applied Economics, revised Feb 2017.

  110. Chia-Lin Chang & Michael McAleer, 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Working Papers in Economics 14/07, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    4. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  111. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Risk Measurement and Risk Modelling Using Applications of Vine Copulas," Working Papers in Economics 14/12, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Çekin, Semih Emre & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Gupta, Rangan, 2020. "Measuring co-dependencies of economic policy uncertainty in Latin American countries using vine copulas," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 207-217.
    2. Ozan Evkaya & İsmail Gür & Bükre Yıldırım Külekci & Gülden Poyraz, 2024. "Vine Copula Approach to Understand the Financial Dependence of the Istanbul Stock Exchange Index," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2935-2980, November.
    3. Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019. "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Research Africa Network Working Papers 19/092, Research Africa Network (RAN).
    4. Seok-Kyun Hur & Chune Young Chung & Chang Liu, 2018. "Is Liquidity Risk Priced? Theory and Evidence," Sustainability, MDPI, vol. 10(6), pages 1-13, May.
    5. Wanling Huang & André Varella Mollick & Khoa Huu Nguyen, 2017. "Dynamic responses and tail-dependence among commodities, the US real interest rate and the dollar," Empirical Economics, Springer, vol. 53(3), pages 959-997, November.
    6. Cyprian Omari & Peter Mwita & Anthony Waititu, 2019. "Conditional Dependence Modelling with Regular Vine Copulas," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(1), pages 1-5.
    7. João Pedro M. Franco & Márcio Laurini, 2025. "Multivariate Risk Analysis in Cryptocurrency Market: An Optimal Transport Approach," Computational Economics, Springer;Society for Computational Economics, vol. 66(6), pages 5257-5298, December.
    8. Boako, Gideon & Tiwari, Aviral Kumar & Roubaud, David, 2019. "Vine copula-based dependence and portfolio value-at-risk analysis of the cryptocurrency market," International Economics, Elsevier, vol. 158(C), pages 77-90.
    9. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    10. Alghalith, Moawia, 2016. "Novel and simple non-parametric methods of estimating the joint and marginal densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 94-98.
    11. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "On the paradigm shift of asset pricing models, before and after the global financial crisis: a literature review," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 15(29), pages 7-38, Primer se.
    12. Huang, Wanling & Mollick, André Varella & Nguyen, Khoa Huu, 2016. "U.S. stock markets and the role of real interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 231-242.

  112. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Conditions Index," Working Papers in Economics 14/03, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.

  113. David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," Working Papers in Economics 14/20, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Yongdeng Xu, 2025. "The exponential HEAVY model: an improved approach to volatility modeling and forecasting," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 727-748, August.

  114. Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Working Papers in Economics 14/29, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Denys Pommeret & Laurence Reboul & Anne-francoise Yao, 2023. "Testing the equality of the laws of two strictly stationary processes," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 193-214, April.
    2. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    3. Mohammad Naim Azimi, 2016. "Modeling the Clustering Volatility of India¡¯s Wholesale Price Index and the Factors Affecting It," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 6(1), pages 141-148, March.
    4. Azimi, Mohammad Naim, 2015. "Modelling the Clustering Volatility of India's Wholesales Price Index and the Factors Affecting it," MPRA Paper 70267, University Library of Munich, Germany.
    5. Corsaro, Stefania & Kyriakou, Ioannis & Marazzina, Daniele & Marino, Zelda, 2019. "A general framework for pricing Asian options under stochastic volatility on parallel architectures," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1082-1095.

  115. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series," Working Papers in Economics 14/04, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Allen, D.E. & McAleer, M.J. & McHardy Reid, D., 2018. "Fake News and Indifference to Truth," Econometric Institute Research Papers EI2018-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. David E. Allen & Michael McAleer & David M. Reid, 2018. "Fake News and Indifference to Truth: Dissecting Tweets and State of the Union Addresses by Presidents Obama and Trump," Tinbergen Institute Discussion Papers 18-020/III, Tinbergen Institute.
    3. Wei, Yu-Chen & Lu, Yang-Cheng & Chen, Jen-Nan & Hsu, Yen-Ju, 2017. "Informativeness of the market news sentiment in the Taiwan stock market," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 158-181.
    4. Allen, D.E. & McAleer, M.J., 2019. "Fake News and Propaganda: Trump's Democratic America and Hitler's National Socialist (Nazi) Germany," Econometric Institute Research Papers EI2019-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
    6. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Econometric Institute Research Papers EI2016-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  116. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's major trading partners across the GFC," Working Papers in Economics 14/23, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Balli, Faruk & Billah, Mabruk & Balli, Hatice Ozer & De Bruin, Anne, 2022. "Spillovers between Sukuks and Shariah-compliant equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    2. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2014. "Hedge Fund Portfolio Diversification Strategies Across the GFC," Working Papers in Economics 14/27, University of Canterbury, Department of Economics and Finance.
    3. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    4. Yahyaei, Hamid & Singh, Abhay & De Mello, Lurion, 2024. "The Federal Reserve’s Quantitative Easing policy and volatility spillovers: Evidence from Australia," International Review of Economics & Finance, Elsevier, vol. 94(C).
    5. Mumtaz Ahmed & Liviu Marian Matac & Naureen Maqbool & Asma Salman & Muthanna G. Abdul Razzaq & Lara Al-Haddad & Codruta Daniela Pavel, 2024. "Bubbles Identification in an Emerging Economy and Within Stock Markets of its Trading Partners: Evidence from a GSADF Approach," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-27, December.
    6. Balli, Faruk & de Bruin, Anne & Chowdhury, Md Iftekhar Hasan, 2019. "Spillovers and the determinants in Islamic equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    7. Sanjay Sehgal & Sakshi Saini & Florent Deisting, 2019. "Examining Dynamic Interdependencies Among Major Global Financial Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 23(1-2), pages 103-139, March - J.
    8. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Wei Chi & Hung Xuan Do, 2018. "Volatility spillover between the US, Chinese and Australian stock markets," Australian Journal of Management, Australian School of Business, vol. 43(2), pages 263-285, May.
    9. Cheng, Tingting & Xing, Shuo & Yao, Wenying, 2022. "An examination of herding behaviour of the Chinese mutual funds: A time-varying perspective," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    10. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.

  117. Chia-Lin Chang & Michael McAleer, 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Working Papers in Economics 14/14, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    3. Luh-Yu (Louie) Ren, 2016. "A Note about the Finance Journal Rankings and Citation Counts," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 12(Suppl. 1), pages 183–194-1.
    4. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  118. David E Allen & Mohammad.A. Ashraf & Michael McAleer & Robert J Powell & Abhay K Singh, 2013. "Financial Dependence Analysis: Applications of Vine Copulae," KIER Working Papers 843, Kyoto University, Institute of Economic Research.

    Cited by:

    1. David E. Allen & Michael McAleer & Abhay K. Singh, 2017. "Risk Measurement and Risk Modelling Using Applications of Vine Copulas," Sustainability, MDPI, vol. 9(10), pages 1-34, September.
    2. Luciana Dalla Valle & Maria Elena De Giuli & Claudia Tarantola & Claudio Manelli, 2014. "Default Probability Estimation via Pair Copula Constructions," Papers 1405.1309, arXiv.org, revised Aug 2015.
    3. Václav Klepáč & David Hampel, 2015. "Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(4), pages 1287-1295.
    4. Ozan Evkaya & İsmail Gür & Bükre Yıldırım Külekci & Gülden Poyraz, 2024. "Vine Copula Approach to Understand the Financial Dependence of the Istanbul Stock Exchange Index," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2935-2980, November.
    5. Arreola Hernandez, Jose & Hammoudeh, Shawkat & Nguyen, Duc Khuong & Al Janabi, Mazin A. M. & Reboredo, Juan Carlos, 2014. "Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach," MPRA Paper 73399, University Library of Munich, Germany, revised Aug 2016.
    6. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
    7. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
    8. Ghufran Ahmad & Muhammad Suhail Rizwan & Dawood Ashraf, 2021. "Systemic risk and macroeconomic forecasting: A globally applicable copula‐based approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1420-1443, December.
    9. Yingying HAN & Xiang ZHOU, 2017. "The Relationship between Stock and Exchange Rates for BRICS Countries Pre - and Post - Crisis: A Mixed C - VINE Copula Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 38-59, March.
    10. Alghalith, Moawia, 2017. "A new parametric method of estimating the joint probability density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 799-803.
    11. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    12. Bukre Yildirim Kulekci & Gulden Poyraz & Ismail Gur & Ozan Evkaya, 2023. "Dependence Analysis of the ISE100 Banking Sector Using Vine Copula," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-1), pages 55-81, June.
    13. Jules Clément Mba & Magdaline Mbong Mai, 2022. "A Particle Swarm Optimization Copula-Based Approach with Application to Cryptocurrency Portfolio Optimisation," JRFM, MDPI, vol. 15(7), pages 1-14, June.
    14. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.

  119. David E Allen & Michael McAleer & Robert J Powell & Abhay K Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," KIER Working Papers 866, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    3. Tareq Almazyad & Norhayati Zakuan & Laith Alrubaiee & Shamaila Butt & Azmirul Ashaari & Raghed IBRAHIM ESMAEEL, 2024. "Bibliometric Insights into Crisis Management: A Review of Key Literature," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 1-34, June.

  120. Chia-Lin Chang & David Allen & Michael McAleer, 2013. "Recent Developments in Financial Economics and Econometrics: An Overview," Working Papers in Economics 13/06, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Sharif Mozumder & Arafatur Rahman, 2016. "Market Risk Of Investment In Us Subprime Crisis: Comparison Of A Pure Diffusion And A Pure Jump Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-17, September.
    2. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    3. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.

  121. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," KIER Working Papers 840, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Working Papers in Economics 14/29, University of Canterbury, Department of Economics and Finance.
    2. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    3. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    4. Da Fonseca, José, 2016. "On moment non-explosions for Wishart-based stochastic volatility models," European Journal of Operational Research, Elsevier, vol. 254(3), pages 889-894.
    5. Chang, C-L. & McAleer, M.J., 2014. "Econometric Analysis of Financial Derivatives," Econometric Institute Research Papers EI 2015-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020. "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    7. Baule, Rainer & Shkel, David, 2021. "Model risk and model choice in the case of barrier options and bonus certificates," Journal of Banking & Finance, Elsevier, vol. 133(C).
    8. Bahmani, Mohammad & Sheikh Ahmadi, Sayed Amir & Sanginabadi, Bahram, 2013. "Return Volatility and Asymmetric News of Computer Industry stocks in Tehran Stock Exchange (TEX)," MPRA Paper 70793, University Library of Munich, Germany, revised 15 Mar 2014.
    9. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

  122. Michael McAleer & John Suen & Wing Keung Wong, 2013. "Profiteering from the Dot-com Bubble, Sub-Prime Crisis and Asian Financial Crisis," Working Papers in Economics 13/20, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Jin Jiang & Hon-Kwong Lui, 2025. "Lifetime Earnings Premium of Higher Education: Evidence from the 40-Year Career of the 1951–1955 Birth Cohort in Hong Kong," Research in Higher Education, Springer;Association for Institutional Research, vol. 66(3), pages 1-20, May.
    2. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    3. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    5. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad, 2019. "Identification of multiple stock bubbles in an emerging market: application of GSADF approach," Economic Change and Restructuring, Springer, vol. 52(3), pages 301-326, August.
    6. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    7. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Behavioural, Financial, and Health & Medical Economics: A Connection," Econometric Institute Research Papers EI2015-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    9. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad & Hammad Hassan Mirza & Farooq Anwar, 2020. "Do stock price bubbles correlate between China and Pakistan? An inquiry of pre‐ and post‐Chinese investment in Pakistani capital market under China‐Pakistan Economic Corridor regime," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 323-335, July.
    10. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    11. Tareq Almazyad & Norhayati Zakuan & Laith Alrubaiee & Shamaila Butt & Azmirul Ashaari & Raghed IBRAHIM ESMAEEL, 2024. "Bibliometric Insights into Crisis Management: A Review of Key Literature," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 1-34, June.
    12. Edward C. H. Tang, 2024. "Examining the Impacts of the Pandemic on the Housing Bubble in Hong Kong," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(1), pages 27-46, March.

  123. Michael McAleer & Felix Chan & Les Oxley, 2013. "Modeling and Simulation: An Overview," Working Papers in Economics 13/18, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    2. Daniel Cracau & Benjamin Franz, 2012. "An experimental study of mixed strategy equilibria in simultaneous price-quantity games," FEMM Working Papers 120017, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    3. David Grreasley, 2010. "Cliometrics and Time Series Econometrics: Some Theory and Applications," Working Papers in Economics 10/56, University of Canterbury, Department of Economics and Finance.
    4. White, David H. & Howden, S. Mark & Walcott, James J. & Cannon, Rob M., 1998. "A framework for estimating the extent and severity of drought, based on a grazing system in south-eastern Australia," Agricultural Systems, Elsevier, vol. 57(3), pages 259-270, July.
    5. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    6. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Evaluating the impact of market reforms on Value-at-Risk forecasts of Chinese A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(4), pages 453-475, September.
    7. Walmsley, Brad & Oddy, V. Hutton & McPhee, Malcolm J. & Mayer, David G. & McKiernan, William A., 2011. "BeefSpecs a tool for the future: On-farm drafting and optimising feedlot profitability," AFBM Journal, Australasian Farm Business Management Network, vol. 7(02), pages 1-7, February.
    8. Giupponi, Carlo & Morari, Francesco, 1995. "AGRO-ENVIRONMENTAL EVALUATION OF ALTERNATIVE FARM MANAGEMENT SYSTEMS FOLLOWING THE EUROPEAN COMMUNITY REFORM OF AGRICULTURAL POLICY; Proceedings of the 4th Minnesota Padova Conference on Food, Agriculture, and the Environment, September 4-10, 1994, M," Working Papers 14395, University of Minnesota, Center for International Food and Agricultural Policy.
    9. Meinke, H. & Baethgen, W. E. & Carberry, P. S. & Donatelli, M. & Hammer, G. L. & Selvaraju, R. & Stockle, C. O., 2001. "Increasing profits and reducing risks in crop production using participatory systems simulation approaches," Agricultural Systems, Elsevier, vol. 70(2-3), pages 493-513.
    10. Daniel Cracau & Abdolkarim Sadrieh, 2014. "The Divergent Effects of Long-Term and Short-Term Entry Investments on Home Market Cartels," FEMM Working Papers 140003, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    11. Shiqing Ling & Michael McAleer, 2001. "On Adaptive Estimation in Nonstationary ARMA Models with GARCH Errors," ISER Discussion Paper 0548, Institute of Social and Economic Research, The University of Osaka.
    12. Kathleen Miller, 2000. "Pacific Salmon Fisheries: Climate, Information and Adaptation in a Conflict-Ridden Context," Climatic Change, Springer, vol. 45(1), pages 37-61, April.
    13. Graham Turner & Timothy Baynes & Bertram McInnis, 2010. "A Water Accounting System for Strategic Water Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 513-545, February.
    14. Davies, Brian Lloyd & Carberry, P.M. & Graham, R.P. & Mullen, John D. & Meaker, G.P., 2007. "StockPlan®: A Decision Aid for Management of Livestock During Drought and Other Times," Research Reports 37666, New South Wales Department of Primary Industries Research Economists.
    15. Daniel Cracau & Benjamin Franz, 2014. "An experimental test of the mixed strategy equilibrium in price-quantity oligopolies," Economics Bulletin, AccessEcon, vol. 34(3), pages 1369-1380.
    16. M. Pilar Muñoz & Cristina Corchero & F.-Javier Heredia, 2013. "Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid," International Statistical Review, International Statistical Institute, vol. 81(2), pages 289-306, August.
    17. Chan, Felix, 2009. "Modelling time-varying higher moments with maximum entropy density," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2767-2778.
    18. Rodriguez Aseretto, Dario & Di Leo, Margherita & de Rigo, Daniele & Corti, Paolo & McInerney, Daniel & Camia, Andrea & San-Miguel-Ayanz, Jesús, 2013. "Free and open source software underpinning the european forest data centre," MPRA Paper 44121, University Library of Munich, Germany.
    19. Roberto Casarin & Domenico sartore, 2008. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 0816, University of Brescia, Department of Economics.

  124. Ping-Yu Chen & Chia-Lin Chang & Chi-Chung Chen & Michael McAleer, 2013. "Modeling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Working Papers in Economics 13/07, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    2. Vo, D.H. & Vu, T.N. & Vo, A.T. & McAleer, M.J., 2018. "Modelling the Relationship between Crude Oil and Agricultural Commodity Prices," Econometric Institute Research Papers EI2019-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Khalfaoui, Rabeh & Baumöhl, Eduard & Sarwar, Suleman & Výrost, Tomáš, 2021. "Connectedness between energy and nonenergy commodity markets: Evidence from quantile coherency networks," Resources Policy, Elsevier, vol. 74(C).
    4. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    5. Andre Yone Haughton & Emma M. Iglesias, 2017. "Exchange Rate Movements, Stock Prices and Volatility in the Caribbean and Latin America," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 437-447.
    6. Khalfaoui, Rabeh & Shahzad, Umer & Ghaemi Asl, Mahdi & Ben Jabeur, Sami, 2023. "Investigating the spillovers between energy, food, and agricultural commodity markets: New insights from the quantile coherency approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 63-80.
    7. Alamah, Zein & Elgammal, Walid & Fakih, Ali, 2024. "Does twitter economic uncertainty matter for wheat prices?," Economics Letters, Elsevier, vol. 234(C).
    8. Harun Uçak & Yakup Ari & Esin Yelgen, 2022. "The volatility connectedness among fertilisers and agricultural crop prices: Evidence from selected main agricultural products," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(9), pages 348-360.
    9. Zhengliang Yang & Xiaoxue Du & Liang Lu & Hernan Tejeda, 2022. "Price and Volatility Transmissions among Natural Gas, Fertilizer, and Corn Markets: A Revisit," JRFM, MDPI, vol. 15(2), pages 1-14, February.

  125. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," Working Papers in Economics 13/04, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & Allen, D.E. & McAleer, M.J., 2013. "Recent Developments in Financial Economics and Econometrics: An Overview," Econometric Institute Research Papers EI 2013-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Rupika Khanna & Chandan Sharma & Abhay Pant, 2022. "COVID-19, firm characteristics and stock volatility: new evidence from the Indian tourism sector," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(6), pages 1563-1585, October.
    3. Bosupeng, Mpho, 2015. "The Impossible Trinity and Financial Markets – An Examination of Inflation Volatility Spillovers," MPRA Paper 77923, University Library of Munich, Germany, revised 2015.
    4. Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
    5. Chien-Chiang Lee & Mei-Ping Chen, 2022. "The impact of COVID-19 on the travel and leisure industry returns: Some international evidence," Tourism Economics, , vol. 28(2), pages 451-472, March.
    6. Ali, Jabir, . "Performance of small and medium-sized food and agribusiness enterprises: evidence from Indian firms," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 19(4).
    7. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    8. Chien-Chiang Lee & Mei-Ping Chen & Yi-Ting Peng, 2021. "Tourism development and happiness: International evidence," Tourism Economics, , vol. 27(5), pages 1101-1136, August.
    9. Beladi, Hamid & Chao, Chi Chur & Hu, May, 2016. "Another January effect—Evidence from stock split announcements," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 123-138.
    10. Yu, Lin & Liu, Xiaoquan & Fung, Hung-Gay & Leung, Wai Kin, 2020. "Size and value effects in high-tech industries: The role of R&D investment," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    11. G l ah Gen er elik, 2020. "Volatility Modelling for Tourism Sector Stocks in Borsa Istanbul," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 158-165.
    12. Shi, Yanlin & Ho, Kin-Yip & Liu, Wai-Man, 2016. "Public information arrival and stock return volatility: Evidence from news sentiment and Markov Regime-Switching Approach," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 291-312.

  126. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Zhicheng Liang & Junwei Wang & Kin Keung Lai, 2020. "Dependence Structure Analysis and VaR Estimation Based on China’s and International Gold Price: A Copula Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 169-193, February.
    3. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "How are VIX and Stock Index ETF Related?," Documentos de Trabajo del ICAE 2016-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Jilber Urbina & Miguel Santolino & Montserrat Guillen, 2021. "Covariance Principle for Capital Allocation: A Time-Varying Approach," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
    5. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Conditions Index," Documentos de Trabajo del ICAE 2014-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Michael McAleer, 2014. "Discussion of “Principal Volatility Component Analysis” by Yu-Pin Hu and Ruey Tsay," Documentos de Trabajo del ICAE 2014-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Jiti Gao & Bin Peng & Wei Biao Wu & Yayi Yan, 2022. "Time-Varying Multivariate Causal Processes," Papers 2206.00409, arXiv.org.
    8. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    9. McAleer, M.J., 2017. "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers TI 2017-082/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    11. Zhang, Yongli & Rolling, Craig & Yang, Yuhong, 2021. "Estimating and forecasting dynamic correlation matrices: A nonlinear common factor approach," Journal of Multivariate Analysis, Elsevier, vol. 183(C).
    12. Khaled Guesmi & Ilyes Abid & Anna Creti & Julien Chevallier, 2018. "Oil Price Risk and Financial Contagion," The Energy Journal, , vol. 39(2_suppl), pages 97-116, December.
    13. Jean-David Fermanian & Hassan Malongo, 2013. "On the Stationarity of Dynamic Conditional Correlation Models," Working Papers 2013-26, Center for Research in Economics and Statistics.
    14. Hasan Murat Ertuğrul & Ünal Seven, 2023. "Dynamic spillover analysis of international and Turkish food prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1918-1928, April.
    15. Christian M. Hafner & Michael McAleer, 2014. "A One Line Derivation of DCC: Application of a Vector Random Coefficient Moving Average Process," Documentos de Trabajo del ICAE 2014-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    16. Bram Daelemans & Joseph P. Daniels & Farrokh Nourzad, 2018. "Free Trade Agreements and Volatility of Stock Returns and Exchange Rates: Evidence from NAFTA," Open Economies Review, Springer, vol. 29(1), pages 141-163, February.
    17. Morana, Claudio, 2019. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, vol. 12(C), pages 42-65.
    18. Yıldırım, Durmuş Çağrı & Esen, Ömer & Ertuğrul, Hasan Murat, 2022. "Impact of the COVID-19 pandemic on return and risk transmission between oil and precious metals: Evidence from DCC-GARCH model," Resources Policy, Elsevier, vol. 79(C).
    19. Iwatsubo, Kentaro & Watkins, Clinton, 2021. "The changing role of foreign investors in Tokyo stock price formation," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    20. Hussain, Saiful Izzuan & Nur-Firyal, R. & Ruza, Nadiah, 2022. "Linkage transitions between oil and the stock markets of countries with the highest COVID-19 cases," Journal of Commodity Markets, Elsevier, vol. 28(C).
    21. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    22. Martin T. Bohl, Badye Essid, Pierre Siklos, 2018. "Short-Selling Bans and the Global Financial Crisis: Are they Inter-Connected?," LCERPA Working Papers 0112, Laurier Centre for Economic Research and Policy Analysis, revised 30 Jan 2018.
    23. Dario Palumbo, 2026. "Precious metals and currency risk: testing hedging effectiveness and safe-haven properties across trading frequencies during periods of market distress," Annals of Operations Research, Springer, vol. 357(1), pages 441-474, February.
    24. Michael McAleer, 2019. "What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity, and (Non-) Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," JRFM, MDPI, vol. 12(2), pages 1-9, April.
    25. Jean-David Fermanian & Benjamin Poignard & Panos Xidonas, 2025. "Model-based vs. agnostic methods for the prediction of time-varying covariance matrices," Annals of Operations Research, Springer, vol. 346(1), pages 511-548, March.
    26. Graham Bird & Wenti Du & Eric Pentecost & Thomas Willett, 2017. "Was it different the second time? An empirical analysis of contagion during the crises in Greece 2009–15," The World Economy, Wiley Blackwell, vol. 40(12), pages 2530-2542, December.
    27. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    28. Dean Fantazzini & Stephan Zimin, 2020. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 19-69, March.
    29. Takashi Isogai, 2015. "An Empirical Study of the Dynamic Correlation of Japanese Stock Returns," Bank of Japan Working Paper Series 15-E-7, Bank of Japan.
    30. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2021. "A non-elliptical orthogonal GARCH model for portfolio selection under transaction costs," Journal of Banking & Finance, Elsevier, vol. 125(C).
    32. Tsukuda, Yoshihiko & Shimada, Junji & Miyakoshi, Tatsuyoshi, 2017. "Bond market integration in East Asia: Multivariate GARCH with dynamic conditional correlations approach," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 193-213.
    33. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.
    34. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    35. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    36. Domingo Rodríguez Benavides & Ignacio Perrotini Hernández, 2019. "Las correlaciones dinámicas de contagio financiero:Estados Unidos y América Latina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 151-168, Abril-Jun.
    37. Saker Sabkha & Christian de Peretti, 2022. "On the performances of Dynamic Conditional Correlation models in the Sovereign CDS market and the corresponding bond market," Post-Print hal-01710398, HAL.
    38. Klein, Tony, 2018. "Trends and contagion in WTI and Brent crude oil spot and futures markets - The role of OPEC in the last decade," Energy Economics, Elsevier, vol. 75(C), pages 636-646.
    39. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    40. Klein, Tony, 2018. "Trends and Contagion in WTI and Brent Crude Oil Spot and Futures Markets - The Role of OPEC in the last Decade," QBS Working Paper Series 2018/05, Queen's University Belfast, Queen's Business School.
    41. Cui, Jinxin & Goh, Mark & Li, Binlin & Zou, Huiwen, 2021. "Dynamic dependence and risk connectedness among oil and stock markets: New evidence from time-frequency domain perspectives," Energy, Elsevier, vol. 216(C).
    42. Piao, Xiaorui & Mei, Bin & Xue, Yuan, 2016. "Comparing the financial performance of timber REITs and other REITs," Forest Policy and Economics, Elsevier, vol. 72(C), pages 115-121.
    43. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    44. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
    45. Irene Henriques & Perry Sadorsky, 2018. "Can Bitcoin Replace Gold in an Investment Portfolio?," JRFM, MDPI, vol. 11(3), pages 1-19, August.
    46. Fresoli, Diego E. & Ruiz, Esther, 2016. "The uncertainty of conditional returns, volatilities and correlations in DCC models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 170-185.
    47. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    48. Ayadi, Ahmed & Gana, Marjène & Goutte, Stéphane & Guesmi, Khaled, 2021. "Equity-commodity contagion during four recent crises: Evidence from the USA, Europe and the BRICS," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 376-423.
    49. García Ruiz, Reyna Susana & López Herrera, Francisco & Cruz Aké, Salvador, 2018. "Determinantes del crédito y la morosidad en México / Determinants of credit and defaulting in Mexico," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 8(1), pages 85-104, enero-jun.
    50. Paolella, Marc S. & Polak, Paweł, 2015. "ALRIGHT: Asymmetric LaRge-scale (I)GARCH with Hetero-Tails," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 282-297.
    51. Nikolay Gospodinov, 2017. "Asset Co-movements: Features and Challenges," FRB Atlanta Working Paper 2017-11, Federal Reserve Bank of Atlanta.
    52. Perego, Erica R. & Vermeulen, Wessel N., 2016. "Macro-economic determinants of European stock and government bond correlations: A tale of two regions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 214-232.
    53. Benjamin Poignard & Jean-Davis Fermanian, 2014. "Dynamic Asset Correlations Based on Vines," Working Papers 2014-46, Center for Research in Economics and Statistics.
    54. Fiszeder, Piotr & Fałdziński, Marcin, 2019. "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    55. Mehmet Balcilar & Riza Demirer & Rangan Gupta, 2017. "Do Sustainable Stocks Offer Diversification Benefits for Conventional Portfolios? An Empirical Analysis of Risk Spillovers and Dynamic Correlations," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    56. Raúl de Jesús-Gutiérrez, 2019. "Integración entre mercados de petróleo de diferente calidad con base en las correlaciones condicionales dinámicas," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 11(2), pages 353-374.
    57. Fiszeder, Piotr & Fałdziński, Marcin & Molnár, Peter, 2023. "Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 308-321.
    58. Mehmet Balcilar & Riza Demirer & Festus V. Bekun, 2021. "Flexible Time-Varying Betas in a Novel Mixture Innovation Factor Model with Latent Threshold," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    59. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion," Economic Modelling, Elsevier, vol. 56(C), pages 133-147.
    60. Vendrame, Vasco & Guermat, Cherif & Tucker, Jon, 2023. "A conditional higher-moment CAPM," International Review of Financial Analysis, Elsevier, vol. 86(C).

  127. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Working Papers in Economics 13/30, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Shawkat Hammoudeh & Michael McAleer, 2014. "Advances in Financial Risk Management and Economic Policy Uncertainty: An Overview," Tinbergen Institute Discussion Papers 14-076/III, Tinbergen Institute.

  128. David Allen & Michael McAleer & Robert Powell & Abhay Singh, 2013. "A Capital Adequacy Buffer Model," Working Papers in Economics 13/35, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Robert J. Powell & Duc H. Vo & Thach N. Pham, 2018. "Economic cycles and downside commodities risk," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 258-263, February.

  129. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Working Papers in Economics 13/27, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Liu, De-Chih & Liu, Chih-Yun, 2016. "The source of stock return fluctuation in Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 77-88.
    2. Rupika Khanna & Chandan Sharma & Abhay Pant, 2022. "COVID-19, firm characteristics and stock volatility: new evidence from the Indian tourism sector," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 19(6), pages 1563-1585, October.
    3. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    4. G l ah Gen er elik, 2020. "Volatility Modelling for Tourism Sector Stocks in Borsa Istanbul," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 158-165.
    5. Leo Huang & Michael Chang, 2018. "Why do travel agencies choose to undergo IPOs in Taiwan?," Tourism Economics, , vol. 24(1), pages 79-91, February.

  130. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self-citations, Impact Factor, Journal Influence and Article Influence," Working Papers in Economics 13/12, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Michael McAleer & Felix Chan & Les Oxley, 2013. "Modelling and Simulation: An Overview," Tinbergen Institute Discussion Papers 13-069/III, Tinbergen Institute.
    3. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chang, C-L. & McAleer, M.J., 2014. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences," Econometric Institute Research Papers 50641, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. McKercher, Bob & Tung, Vincent, 2015. "Publishing in tourism and hospitality journals: Is the past a prelude to the future?," Tourism Management, Elsevier, vol. 50(C), pages 306-315.
    7. Chia-Lin Chang & Michael McAleer, 2014. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Working Papers in Economics 14/01, University of Canterbury, Department of Economics and Finance.
    8. Guillermo Armando Ronda-Pupo & Luis Ángel Guerras-Martín, 2016. "Collaboration network of knowledge creation and dissemination on Management research: ranking the leading institutions," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 917-939, June.
    9. Gouri Ginde & Snehanshu Saha & Archana Mathur & Sukrit Venkatagiri & Sujith Vadakkepat & Anand Narasimhamurthy & B. S. Daya Sagar, 2016. "ScientoBASE: a framework and model for computing scholastic indicators of non-local influence of journals via native data acquisition algorithms," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1479-1529, September.
    10. Michael McAleer & Judit Olah & Jozsef Popp, 2018. "Pros and Cons of the Impact Factor in a Rapidly Changing Digital World," Tinbergen Institute Discussion Papers 18-014/III, Tinbergen Institute.
    11. Saarela, Mirka & Kärkkäinen, Tommi & Lahtonen, Tommi & Rossi, Tuomo, 2016. "Expert-based versus citation-based ranking of scholarly and scientific publication channels," Journal of Informetrics, Elsevier, vol. 10(3), pages 693-718.
    12. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    13. Shaen Corbet & Les Oxley, 2023. "Investigating the Academic Response to Cryptocurrencies: Insights from Research Diversification as Separated by Journal Ranking," Review of Corporate Finance, now publishers, vol. 3(4), pages 487-528, September.
    14. Dašić Predrag, 2015. "State and Analysis of Scientific Journals in the Field of “Economic Sciences” for the Period 1995-2014," Economic Themes, Sciendo, vol. 53(4), pages 547-581, December.
    15. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
    16. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  131. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.

  132. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Working Papers in Economics 13/16, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Zhicheng Liang & Junwei Wang & Kin Keung Lai, 2020. "Dependence Structure Analysis and VaR Estimation Based on China’s and International Gold Price: A Copula Approach," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(01), pages 169-193, February.
    3. Jilber Urbina & Miguel Santolino & Montserrat Guillen, 2021. "Covariance Principle for Capital Allocation: A Time-Varying Approach," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
    4. Michael McAleer, 2014. "Discussion of “Principal Volatility Component Analysis” by Yu-Pin Hu and Ruey Tsay," Tinbergen Institute Discussion Papers 14-025/III, Tinbergen Institute.
    5. Jiti Gao & Bin Peng & Wei Biao Wu & Yayi Yan, 2022. "Time-Varying Multivariate Causal Processes," Papers 2206.00409, arXiv.org.
    6. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    7. McAleer, M.J., 2017. "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers TI 2017-082/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    9. Jean-David Fermanian & Hassan Malongo, 2013. "On the Stationarity of Dynamic Conditional Correlation Models," Working Papers 2013-26, Center for Research in Economics and Statistics.
    10. Carlos Castro & Nini Johana Marin, 2014. "Stock return comovements and integration within the Latin American integrated market," Borradores de Investigación 11041, Universidad del Rosario.
    11. Bram Daelemans & Joseph P. Daniels & Farrokh Nourzad, 2018. "Free Trade Agreements and Volatility of Stock Returns and Exchange Rates: Evidence from NAFTA," Open Economies Review, Springer, vol. 29(1), pages 141-163, February.
    12. Morana, Claudio, 2019. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, vol. 12(C), pages 42-65.
    13. Iwatsubo, Kentaro & Watkins, Clinton, 2021. "The changing role of foreign investors in Tokyo stock price formation," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    14. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    15. Martin T. Bohl, Badye Essid, Pierre Siklos, 2018. "Short-Selling Bans and the Global Financial Crisis: Are they Inter-Connected?," LCERPA Working Papers 0112, Laurier Centre for Economic Research and Policy Analysis, revised 30 Jan 2018.
    16. Michael McAleer, 2019. "What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity, and (Non-) Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," JRFM, MDPI, vol. 12(2), pages 1-9, April.
    17. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Conditions Index," Tinbergen Institute Discussion Papers 14-007/III, Tinbergen Institute.
    18. Graham Bird & Wenti Du & Eric Pentecost & Thomas Willett, 2017. "Was it different the second time? An empirical analysis of contagion during the crises in Greece 2009–15," The World Economy, Wiley Blackwell, vol. 40(12), pages 2530-2542, December.
    19. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    20. Dean Fantazzini & Stephan Zimin, 2020. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 19-69, March.
    21. Takashi Isogai, 2015. "An Empirical Study of the Dynamic Correlation of Japanese Stock Returns," Bank of Japan Working Paper Series 15-E-7, Bank of Japan.
    22. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Paolella, Marc S. & Polak, Paweł & Walker, Patrick S., 2021. "A non-elliptical orthogonal GARCH model for portfolio selection under transaction costs," Journal of Banking & Finance, Elsevier, vol. 125(C).
    24. Tsukuda, Yoshihiko & Shimada, Junji & Miyakoshi, Tatsuyoshi, 2017. "Bond market integration in East Asia: Multivariate GARCH with dynamic conditional correlations approach," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 193-213.
    25. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.
    26. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    27. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    28. Domingo Rodríguez Benavides & Ignacio Perrotini Hernández, 2019. "Las correlaciones dinámicas de contagio financiero:Estados Unidos y América Latina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 151-168, Abril-Jun.
    29. Saker Sabkha & Christian de Peretti, 2022. "On the performances of Dynamic Conditional Correlation models in the Sovereign CDS market and the corresponding bond market," Post-Print hal-01710398, HAL.
    30. Christian M. Hafner & Michael McAleer, 2014. "A One Line Derivation of DCC: Application of a Vector Random Coefficient Moving Average Process," Working Papers in Economics 14/19, University of Canterbury, Department of Economics and Finance.
    31. Klein, Tony, 2018. "Trends and contagion in WTI and Brent crude oil spot and futures markets - The role of OPEC in the last decade," Energy Economics, Elsevier, vol. 75(C), pages 636-646.
    32. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    33. Cui, Jinxin & Goh, Mark & Li, Binlin & Zou, Huiwen, 2021. "Dynamic dependence and risk connectedness among oil and stock markets: New evidence from time-frequency domain perspectives," Energy, Elsevier, vol. 216(C).
    34. Piao, Xiaorui & Mei, Bin & Xue, Yuan, 2016. "Comparing the financial performance of timber REITs and other REITs," Forest Policy and Economics, Elsevier, vol. 72(C), pages 115-121.
    35. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    36. Zhang, Qi & Di, Peng & Farnoosh, Arash, 2021. "Study on the impacts of Shanghai crude oil futures on global oil market and oil industry based on VECM and DAG models," Energy, Elsevier, vol. 223(C).
    37. Irene Henriques & Perry Sadorsky, 2018. "Can Bitcoin Replace Gold in an Investment Portfolio?," JRFM, MDPI, vol. 11(3), pages 1-19, August.
    38. Fresoli, Diego E. & Ruiz, Esther, 2016. "The uncertainty of conditional returns, volatilities and correlations in DCC models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 170-185.
    39. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    40. Ayadi, Ahmed & Gana, Marjène & Goutte, Stéphane & Guesmi, Khaled, 2021. "Equity-commodity contagion during four recent crises: Evidence from the USA, Europe and the BRICS," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 376-423.
    41. García Ruiz, Reyna Susana & López Herrera, Francisco & Cruz Aké, Salvador, 2018. "Determinantes del crédito y la morosidad en México / Determinants of credit and defaulting in Mexico," Estocástica: finanzas y riesgo, Departamento de Administración de la Universidad Autónoma Metropolitana Unidad Azcapotzalco, vol. 8(1), pages 85-104, enero-jun.
    42. Paolella, Marc S. & Polak, Paweł, 2015. "ALRIGHT: Asymmetric LaRge-scale (I)GARCH with Hetero-Tails," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 282-297.
    43. Nikolay Gospodinov, 2017. "Asset Co-movements: Features and Challenges," FRB Atlanta Working Paper 2017-11, Federal Reserve Bank of Atlanta.
    44. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2016. "How are VIX and Stock Index ETF Related?," Econometric Institute Research Papers EI2016-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    45. Costas Karfakis & Theodore Panagiotidis, 2015. "The effects of global monetary policy and Greek debt crisis on the dynamic conditional correlations of currency markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 795-811, November.
    46. Perego, Erica R. & Vermeulen, Wessel N., 2016. "Macro-economic determinants of European stock and government bond correlations: A tale of two regions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 214-232.
    47. Benjamin Poignard & Jean-Davis Fermanian, 2014. "Dynamic Asset Correlations Based on Vines," Working Papers 2014-46, Center for Research in Economics and Statistics.
    48. Fiszeder, Piotr & Fałdziński, Marcin, 2019. "Improving forecasts with the co-range dynamic conditional correlation model," Journal of Economic Dynamics and Control, Elsevier, vol. 108(C).
    49. Mehmet Balcilar & Riza Demirer & Rangan Gupta, 2017. "Do Sustainable Stocks Offer Diversification Benefits for Conventional Portfolios? An Empirical Analysis of Risk Spillovers and Dynamic Correlations," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    50. Raúl de Jesús-Gutiérrez, 2019. "Integración entre mercados de petróleo de diferente calidad con base en las correlaciones condicionales dinámicas," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 11(2), pages 353-374.
    51. Mehmet Balcilar & Riza Demirer & Festus V. Bekun, 2021. "Flexible Time-Varying Betas in a Novel Mixture Innovation Factor Model with Latent Threshold," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
    52. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion," Economic Modelling, Elsevier, vol. 56(C), pages 133-147.

  133. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Tombazos, Christis G. & Dobra, Matthew, 2014. "Formulating research policy on expert advice," European Economic Review, Elsevier, vol. 72(C), pages 166-181.
    3. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    6. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.

  134. David E. Allen & Abhay K. Singh & Robert J. Powell & Michael McAleer & James Taylor & Lyn Thomas, 2013. "Return-Volatility Relationship: Insights from Linear and Non-Linear Quantile Regression," Tinbergen Institute Discussion Papers 13-020/III, Tinbergen Institute.

    Cited by:

    1. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    2. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stober, 2016. "Regime switching vine copula models for global equity and volatility indices," Papers 1604.05598, arXiv.org.
    3. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    4. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stöber, 2017. "Regime Switching Vine Copula Models for Global Equity and Volatility Indices," Econometrics, MDPI, vol. 5(1), pages 1-38, January.
    5. Avdulaj Krenar & Barunik Jozef, 2017. "A semiparametric nonlinear quantile regression model for financial returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 81-97, February.

  135. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Working Papers in Economics 13/23, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Sophie van Huellen, 2019. "Approaches to Price Formation in Financialised Commodity Markets," Working Papers 223, Department of Economics, SOAS University of London, UK.
    2. Papadamou, Stephanos & Kyriazis, Nikolaos A. & Tzeremes, Panayiotis & Corbet, Shaen, 2021. "Herding behaviour and price convergence clubs in cryptocurrencies during bull and bear markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    3. Lin, William & Sun, David & Tsai, Shih-Chuan, 2010. "Does trading remove or bring frictions?," MPRA Paper 37285, University Library of Munich, Germany, revised Jan 2011.
    4. Simões Vieira, Elisabete F. & Valente Pereira, Márcia S., 2015. "Herding behaviour and sentiment: Evidence in a small European market," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(1), pages 78-86.
    5. Tian, Xin & Song, Yan & Luo, Chunlin & Zhou, Xiaoyang & Lev, Benjamin, 2021. "Herding behavior in supplier innovation crowdfunding: Evidence from Kickstarter," International Journal of Production Economics, Elsevier, vol. 239(C).

  136. Michael McAleer & Juan-Ángel Jiménez-Martín & Teodosio Pérez-Amaral, 2013. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis," Working Papers in Economics 13/08, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    3. Chang, C-L. & Allen, D.E. & McAleer, M.J., 2013. "Recent Developments in Financial Economics and Econometrics: An Overview," Econometric Institute Research Papers EI 2013-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Hu, Jin-Li & Yu, Hsueh-E, 2014. "Risk management in life insurance companies: Evidence from Taiwan," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 185-199.
    5. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
    7. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    8. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    9. Mateusz Buczyński & Marcin Chlebus, 2019. "Old-fashioned parametric models are still the best. A comparison of Value-at-Risk approaches in several volatility states," Working Papers 2019-12, Faculty of Economic Sciences, University of Warsaw.
    10. Xiaochun Liu, 2017. "An integrated macro‐financial risk‐based approach to the stressed capital requirement," Review of Financial Economics, John Wiley & Sons, vol. 34(1), pages 86-98, September.
    11. Giulioni, Gianfranco, 2015. "Policy interest rate, loan portfolio management and bank liquidity," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 52-74.
    12. Su, Jung-Bin, 2014. "Empirical analysis of long memory, leverage, and distribution effects for stock market risk estimates," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 1-39.
    13. Sobreira, Nuno & Louro, Rui, 2020. "Evaluation of volatility models for forecasting Value-at-Risk and Expected Shortfall in the Portuguese stock market," Finance Research Letters, Elsevier, vol. 32(C).
    14. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2016. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Documents de travail du Centre d'Economie de la Sorbonne 16034rr, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
    15. Dominique Guegan & Bertrand Hassani & Kehan Li, 2017. "Measuring risks in the extreme tail: The extreme VaR and its confidence interval," Post-Print halshs-01317391, HAL.
    16. Bui, Huynh Tuan Duy & Herwartz, Helmut & Wang, Shu, 2025. "Central bank announcements and monitoring portfolio risks," International Review of Economics & Finance, Elsevier, vol. 103(C).
    17. Taylor, James W., 2020. "Forecast combinations for value at risk and expected shortfall," International Journal of Forecasting, Elsevier, vol. 36(2), pages 428-441.
    18. Herrera, Rodrigo & Schipp, Bernhard, 2014. "Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 218-238.
    19. Hunzinger, Chadd B. & Labuschagne, Coenraad C.A., 2014. "The Cox, Ross and Rubinstein tree model which includes counterparty credit risk and funding costs," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 200-217.
    20. Su, Ender & Wong, Kai Wen, 2018. "Measuring bank downside systemic risk in Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 172-193.
    21. Feria-Domínguez, José Manuel & Jiménez-Rodríguez, Enrique & Sholarin, Ola, 2015. "Tackling the over-dispersion of operational risk: Implications on capital adequacy requirements," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 206-221.
    22. Liu, Wei & Semeyutin, Artur & Lau, Chi Keung Marco & Gozgor, Giray, 2020. "Forecasting Value-at-Risk of Cryptocurrencies with RiskMetrics type models," Research in International Business and Finance, Elsevier, vol. 54(C).
    23. Ho, Kung-Cheng & Yao, Chia-ling & Zhao, Chenfang & Pan, Zikui, 2022. "Modern health pandemic crises and stock price crash risk," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 448-463.
    24. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    25. Liow, Kim Hiang, 2015. "Volatility spillover dynamics and relationship across G7 financial markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 328-365.
    26. Dang-Nguyen, Stéphane & Le Caillec, Jean-Marc & Hillion, Alain, 2014. "The deterministic shift extension and the affine dynamic Nelson–Siegel model," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 402-417.

  137. Chia-Lin Chang & David E. Allen & Michael McAleer & Teodosio Perez Amaral, 2013. "Risk Modeling and Management: An Overview," Working Papers in Economics 13/22, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Arnaud Dufays & Jeroen V.K. Rombouts, 2016. "Sparse Change-point HAR Models for Realized Variance," Cahiers de recherche 1607, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.

  138. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2012. "Stochastic Dominance Statistics for Risk Averters and Risk Seekers: An Analysis of Stock Preferences for USA and China," KIER Working Papers 820, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Chuan-Hao Hsu & Hung-Gay Fung & Yi-Ping Chang, 2016. "The performance of Taiwanese firms after a share repurchase announcement," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1251-1269, November.
    2. Guo, Yawei & Li, Jianping & Li, Yehua & You, Wanhai, 2021. "The roles of political risk and crude oil in stock market based on quantile cointegration approach: A comparative study in China and US," Energy Economics, Elsevier, vol. 97(C).
    3. Maria Rebecca Valenzuela & Wing‐Keung Wong & Zhen Zhen Zhu, 2020. "Sources of inequality in the Philippines: Insights from stochastic dominance tests for richness and poorness," The World Economy, Wiley Blackwell, vol. 43(10), pages 2650-2673, October.
    4. Bouri, Elie & Gupta, Rangan & Wong, Wing-Keung & Zhu, Zhenzhen, 2018. "Is wine a good choice for investment?," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 171-183.
    5. Raymond H. Chan & Xu Guo & Ephraim Clark & Wing-Keung Wong, 2020. "New Development on the Third Order Stochastic Dominance for Risk-Averse and Risk-Seeking Investors with Application in Risk Management," Economic Growth Centre Working Paper Series 2002, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    6. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    7. Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Moawia Alghalith & Wing-Keung Wong, 2020. "Extension of Stein's Lemmas to General Functions and Distributions," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 77-88, December.
    9. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    10. Hoang, Thi-Hong-Van & Zhu, Zhenzhen & El Khamlichi, Abdelbari & Wong, Wing-Keung, 2019. "Does the Shari’ah screening impact the gold-stock nexus? A sectorial analysis," Resources Policy, Elsevier, vol. 61(C), pages 617-626.
    11. Hoang, Thi-Hong-Van & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Is gold different for risk-averse and risk-seeking investors? An empirical analysis of the Shanghai Gold Exchange," Economic Modelling, Elsevier, vol. 50(C), pages 200-211.
    12. Xu Guo & Xuejun Jiang & Wing-Keung Wong, 2017. "Stochastic Dominance and Omega Ratio: Measures to Examine Market Efficiency, Arbitrage Opportunity, and Anomaly," Economies, MDPI, vol. 5(4), pages 1-16, October.
    13. Wisam Abed Shukur & Zaid M. Jawad Kubba & Saif Saad Ahmed, 2023. "Novel Standard Polynomial as New Mathematical Basis for Digital Information Encryption Process," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 72-85, September.
    14. Lam, Kin & Lean, Hooi Hooi & Wong, Wing-Keung, 2016. "Stochastic Dominance and Investors’ Behavior towards Risk: The Hong Kong Stocks and Futures Markets," MPRA Paper 74386, University Library of Munich, Germany.
    15. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    16. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    18. Tsang, Chun-Kei & Wong, Wing-Keung & Horowitz, Ira, 2016. "Arbitrage Opportunities, Efficiency, and the Role of Risk Preferences in the Hong Kong Property Market," MPRA Paper 74347, University Library of Munich, Germany.
    19. Chan, Raymond H. & Clark, Ephraim & Wong, Wing-Keung, 2016. "On the Third Order Stochastic Dominance for Risk-Averse and Risk-Seeking Investors with Analysis of their Traditional and Internet Stocks," MPRA Paper 75002, University Library of Munich, Germany.
    20. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    21. Ng, Pin & Wong, Wing-Keung & Xiao, Zhijie, 2017. "Stochastic dominance via quantile regression with applications to investigate arbitrage opportunity and market efficiency," European Journal of Operational Research, Elsevier, vol. 261(2), pages 666-678.
    22. Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2016. "Almost stochastic dominance for risk averters and risk seeker," Finance Research Letters, Elsevier, vol. 19(C), pages 15-21.
    23. El khamlichi, Abdelbari & HOANG, Thi Hong Van & Wong, Wing-Keung, 2017. "Is Gold Different for Islamic and Conventional Portfolios? A Sectorial Analysis," MPRA Paper 76282, University Library of Munich, Germany.
    24. Payel Sadhukhan & Samrat Gupta & Subhasis Ghosh & Tanujit Chakraborty, 2026. "Demystifying the trend of the healthcare index: Is historical price a key driver?," Papers 2601.14062, arXiv.org.
    25. Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.
    26. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    27. Chan, Raymond H. & Chow, Sheung-Chi & Guo, Xu & Wong, Wing-Keung, 2022. "Central moments, stochastic dominance, moment rule, and diversification with an application," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
    28. Tsang, Chun-Kei & Wong, Wing-Keung & Horowitz, Ira, 2016. "A stochastic-dominance approach to determining the optimal home-size purchase: The case of Hong Kong," MPRA Paper 69175, University Library of Munich, Germany.
    29. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    30. Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
    31. Qiao, Zhuo & Pukthuanthong, Kuntara, 2019. "Has the difference in stock liquidity and stock returns between Chinese state owned and privately owned enterprises become smaller?," Finance Research Letters, Elsevier, vol. 28(C), pages 39-44.
    32. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Behavioural, Financial, and Health & Medical Economics: A Connection," Econometric Institute Research Papers EI2015-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    33. Islem Boutabba & Shin-Hung Pan & Wing-Keung Wong, 2025. "An Empirical Validation of a Behavioral Finance Model: The 52-week High as a Benchmark for an Index," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(4), pages 74-91.
    34. Fathi Abid & Pui Lam Leung & Mourad Mroua & Wing Keung Wong, 2014. "International Diversification Versus Domestic Diversification: Mean-Variance Portfolio Optimization and Stochastic Dominance Approaches," JRFM, MDPI, vol. 7(2), pages 1-22, May.
    35. Niu, Cuizhen & Wong, Wing-Keung & Xu, Qunfang, 2017. "Higher-Order Risk Measure and (Higher-Order) Stochastic Dominance," MPRA Paper 75948, University Library of Munich, Germany.
    36. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    37. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    38. Thi Hong Van Hoang & Zhenzhen Zhu & Bing Xiao & Wing‐Keung Wong, 2020. "The seasonality of gold prices in China does the risk‐aversion level matter?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2617-2664, September.
    39. Kavitha Ranganathan, 2018. "Does Global Shapes Of Utility Functions Matter For Investment Decisions?," Bulletin of Economic Research, Wiley Blackwell, vol. 70(4), pages 341-361, October.
    40. Pho, Kim Hung & Ly, Sel & Lu, Richard & Hoang, Thi Hong Van & Wong, Wing-Keung, 2021. "Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    41. Guo, Xu & Wong, Wing-Keung, 2016. "Multivariate Stochastic Dominance for Risk Averters and Risk Seekers," MPRA Paper 70637, University Library of Munich, Germany.
    42. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    43. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    44. Maria Rebecca Valenzuela & Wing-Keung Wong & Zhu Zhen Zhen, 2017. "Income and Consumption Inequality in the Philippines: A Stochastic Dominance Analysis of Household Unit Records," ADBI Working Papers 662, Asian Development Bank Institute.
    45. Hengzhen Lu & Yingying Zhang & Ling Xiao & Gurjeet Dhesi, 2022. "A State-of-the-Art Fund Performance Index: Higher-Order Omega and Its Consistency with Almost Stochastic Dominance," JRFM, MDPI, vol. 15(10), pages 1-20, September.
    46. Chui, David & Wing Cheng, Wui & Chi Chow, Sheung & LI, Ya, 2020. "Eastern Halloween effect: A stochastic dominance approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    47. Sheung-Chi Chow & Ma. Rebecca Valenzuela & Wing-Keung Wong, 2016. "New Tests for Richness and Poorness:A Stochastic Dominance Analysis of Income Distributions in Hong Kong," Monash Economics Working Papers 25-16, Monash University, Department of Economics.
    48. Hoang, Thi-Hong-Van & Lean, Hooi Hooi & Wong, Wing-Keung, 2015. "Is gold good for portfolio diversification? A stochastic dominance analysis of the Paris stock exchange," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 98-108.
    49. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  139. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2012. "Evaluating Macroeconomic Forecasts: A Concise Review of Some Recent Developments," Working Papers in Economics 12/12, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2020. "Nonlinear forecast combinations: An example using euro-area real GDP growth," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 579-589.
    2. Mihaela Simionescu (Bratu), 2014. "The Performance of Predictions Based on the Dobrescu Macromodel for the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 179-195, October.
    3. Mihaela Bratu, 2012. "A Strategy to Improve the Survey of Professional Forecasters (SPF) Predictions Using Bias-Corrected-Accelerated (BCA) Bootstrap Forecast Intervals," International Journal of Synergy and Research, ToKnowPress, vol. 1(2), pages 45-59.
    4. Claeys, Peter & Cimadomo, Jacopo & Poplawski Ribeiro, Marcos, 2014. "How do financial institutions forecast sovereign spreads?," Working Paper Series 1750, European Central Bank.
    5. Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
    6. Mihaela BRATU (SIMIONESCU), 2012. "A Strategy To Improve The Gdp Index Forcasts In Romania Using Moving Average Models Of Historical Errors Of The Dobrescu Macromodel," Romanian Journal of Economics, Institute of National Economy, vol. 35(2(44)), pages 128-138, December.
    7. Simionescu Mihaela, 2015. "Kalman Filter or VAR Models to Predict Unemployment Rate in Romania?," Naše gospodarstvo/Our economy, Sciendo, vol. 61(3), pages 3-21, June.
    8. Bratu Mihaela, 2013. "An Evaluation Of Usa Unemployment Rate Forecasts In Terms Of Accuracy And Bias. Empirical Methods To Improve The Forecasts Accuracy," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 170-180, February.
    9. Mihaela Simionescu, 2015. "The Improvement of Unemployment Rate Predictions Accuracy," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(3), pages 274-286.

  140. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2012. "Robust Ranking of Journal Quality: An Application to Economics," Working Papers in Economics 12/05, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Yu, Tian & Yu, Guang & Wang, Ming-Yang, 2014. "Classification method for detecting coercive self-citation in journals," Journal of Informetrics, Elsevier, vol. 8(1), pages 123-135.
    4. Klaus Wohlrabe, 2016. "Taking the Temperature: A Meta-Ranking of Economics Journals," CESifo Working Paper Series 5726, CESifo.
    5. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    6. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Michael McAleer & Chia-Lin Chang, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks:An Application to ISI Statistics & Probability," KIER Working Papers 819, Kyoto University, Institute of Economic Research.
    9. Chang, C-L. & McAleer, M.J., 2014. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences," Econometric Institute Research Papers 50641, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. William C. Horrace & Christopher F. Parmeter, 2017. "Accounting for Multiplicity in Inference on Economics Journal Rankings," Southern Economic Journal, John Wiley & Sons, vol. 84(1), pages 337-347, July.
    12. Franklin G. Mixon, Jr. & Kamal P. Upadhyaya, 2021. "Scholarly Impact of Core Econometrics Journals: A Catalog and Citations-Based Ranking," International Econometric Review (IER), Economic Research Association, vol. 13(4), pages 118-131, December.
    13. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2015. "Ranking scientific journals via latent class models for polytomous item response data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 1025-1049, October.
    14. Polterovich, Victor, 2022. "Библиометрическое Равновесие [Bibliometric Equilibrium]," MPRA Paper 111802, University Library of Munich, Germany.
    15. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Konstantinos Metaxoglou, 2021. "Canadian Journal of Economics: A historic overview," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 54(3), pages 1418-1453, November.
    17. Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 521-542, April.
    18. Carlo D'Ippoliti, 2021. "“Many‐Citedness”: Citations Measure More Than Just Scientific Quality," Journal of Economic Surveys, Wiley Blackwell, vol. 35(5), pages 1271-1301, December.
    19. Chia-Lin Chang & Li-Hsueh Chen & Shawkat Hammoudeh & Michael McAleer, 2012. "Asymmetric Adjustments in the Ethanol and Grains Markets," Documentos de Trabajo del ICAE 2012-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
    20. Michael McAleer & Judit Olah & Jozsef Popp, 2018. "Pros and Cons of the Impact Factor in a Rapidly Changing Digital World," Tinbergen Institute Discussion Papers 18-014/III, Tinbergen Institute.
    21. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    22. Bornmann, Lutz & Butz, Alexander & Wohlrabe, Klaus, 2017. "What are the Top Five Journals in Economics? A New Meta–ranking," MPRA Paper 79176, University Library of Munich, Germany.
    23. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  141. Marcin Jaskowski & Michael McAleer, 2012. "Estimating implied recovery rates from the term structure of CDS spreads," KIER Working Papers 836, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Pascal François, 2019. "The Determinants of Market-Implied Recovery Rates," Risks, MDPI, vol. 7(2), pages 1-15, May.
    2. Barbagli, Matteo & François, Pascal & Gauthier, Geneviève & Vrins, Frédéric, 2024. "The role of CDS spreads in explaining bond recovery rates," LIDAM Discussion Papers LFIN 2024002, Université catholique de Louvain, Louvain Finance (LFIN).
    3. Claudia Foroni & Francesco Ravazzolo & Barbara Sadaba, 2017. "Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns," Staff Working Papers 17-19, Bank of Canada.
    4. Thamayanthi Chellathurai, 2017. "Probability Density Of Recovery Rate Given Default Of A Firm’S Debt And Its Constituent Tranches," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-34, June.
    5. Pascal François & Weiyu Jiang, 2019. "Credit Value Adjustment with Market-implied Recovery," Journal of Financial Services Research, Springer;Western Finance Association, vol. 56(2), pages 145-166, October.
    6. Anh Le, 2015. "Separating the Components of Default Risk: A Derivative-Based Approach," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-48.

  142. Chia-Lin Chang & Michael McAleer, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks: An Application to ISI Statistics & Probability," Working Papers in Economics 12/11, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Jessica Petersen & Fabian Hattke & Rick Vogel, 2017. "Editorial governance and journal impact: a study of management and business journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1593-1614, September.
    7. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. David L. Anderson & John Tressler, 2015. "Are Researcher Rankings Stable Across Alternative Output Measurement Schemes in the Context of a Time Limited Research Evaluation? The New Zealand Case," Working Papers in Economics 15/10, University of Waikato.
    9. Vogel, Rick & Hattke, Fabian & Petersen, Jessica, 2017. "Journal rankings in management and business studies: What rules do we play by?," Research Policy, Elsevier, vol. 46(10), pages 1707-1722.
    10. Ching-Chun Wei, 2016. "Modeling and Analyzing the Mean and Volatility Relationship between Electricity Price Returns and Fuel Market Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-55, July.
    11. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    12. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2013. "Robust Ranking of Journal Quality: An Application to Economics," Tinbergen Institute Discussion Papers 13-081/III, Tinbergen Institute.

  143. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2012. "Modelling Long Memory Volatility in Agricultural Commodity Futures Returns," Working Papers in Economics 12/09, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Aloui, Chaker & Hammoudeh, Shawkat & Hamida, Hela ben, 2015. "Global factors driving structural changes in the co-movement between sharia stocks and sukuk in the Gulf Cooperation Council countries," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 311-329.
    2. Al-Shboul, Mohammad & Alsharari, Nizar, 2019. "The dynamic behavior of evolving efficiency: Evidence from the UAE stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 73(C), pages 119-135.
    3. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    5. Demiralay, Sercan & Ulusoy, Veysel, 2014. "Non-linear volatility dynamics and risk management of precious metals," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 183-202.
    6. Broadstock, David C. & Wang, Rui & Zhang, Dayong, 2014. "Direct and indirect oil shocks and their impacts upon energy related stocks," Economic Systems, Elsevier, vol. 38(3), pages 451-467.
    7. Tarek Chebbi & Abdelkader Derbali, 2015. "The dynamic correlation between energy commodities and Islamic stock market: analysis and forecasting," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 8(2), pages 112-126.
    8. David C Broadstock & Rui Wang & Dayong Zhang, 2014. "The direct and indirect effects of oil shocks on energy related stocks," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 146, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    9. Algieri, Bernardina, 2014. "The influence of biofuels, economic and financial factors on daily returns of commodity futures prices," Energy Policy, Elsevier, vol. 69(C), pages 227-247.
    10. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    11. Kim-Hung Pho & Ngoc-Hien Nguyen & Huu-Nhan Huynh & Wing-Keung Wong, 2021. "A Detailed Guide on How to Use Statistical Software R for Text Mining," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 92-110, September.
    12. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    13. Chkili, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Energy Economics, Elsevier, vol. 41(C), pages 1-18.
    14. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen, 2013. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," Working Papers hal-00798033, HAL.
    15. Yang, Ke & Tian, Fengping & Chen, Langnan & Li, Steven, 2017. "Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 276-291.
    16. Bharat Kumar Meher & Iqbal Thonse Hawaldar & Mathew Thomas Gil & Deebom Zorle Dum, 2021. "Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 489-502.
    17. Andree,Bo Pieter Johannes & Pape,Utz Johann, 2023. "Machine Learning Imputation of High Frequency Price Surveys in Papua New Guinea," Policy Research Working Paper Series 10559, The World Bank.
    18. Bharat Kumar Meher & Iqbal Thonse Hawaldar & Latasha Mohapatra & Adel M. Sarea, 2020. "The Impact of COVID-19 on Price Volatility of Crude Oil and Natural Gas Listed on Multi Commodity Exchange of India," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 422-431.
    19. Phillip A. Cartwright & Natalija Riabko, 2016. "Further evidence on the explanatory power of spot food and energy commodities market prices for futures prices," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 579-605, October.
    20. Santosh Kumar & Md. Alamgir & Birau Ramona & Bharat Kumar Meher & Abhishek Anand & Nioata (Chireac) Roxana-Mihaela & Cirjan Nadia Tudora, 2024. "Evaluating The Performance Of Garch Family Models In Estimating Investment Risk And Volatility: A Comparative Analysis Of Sensex And Nifty Index In India," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 3, pages 222-238, June.
    21. Moawia Alghalith & Xu Guo & Wing-Keung Wong & Lixing Zhu, 2016. "A General Optimal Investment Model In The Presence Of Background Risk," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-8, March.
    22. Isita Mukherjee & Bhaskar Goswami, 2017. "The volatility of returns from commodity futures: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-23, December.
    23. Walid Chkili & Shawkat Hammoudeh & Duc Khuong Nguyen, 2013. "Long memory and asymmetry in the volatility of commodity markets and Basel Accord: choosing between models," Working Papers 2013-9, Department of Research, Ipag Business School.
    24. Dominik Boos, 2024. "Risky times: Seasonality and event risk of commodities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(5), pages 767-783, May.
    25. Andree,Bo Pieter Johannes, 2021. "Estimating Food Price Inflation from Partial Surveys," Policy Research Working Paper Series 9886, The World Bank.
    26. Chaker Aloui, 2011. "Latin American stock markets’ volatility spillovers during the financial crises: a multivariate FIAPARCH-DCC framework," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 4(2), pages 289-326, May.
    27. Kumar SANTOSH & Meher Kumar BHARAT & Ramona BIRAU & Mircea Laurentiu SIMION & Anand ABHISHEK & Singh MANOHAR, 2023. "Quantifying Long-Term Volatility for Developed Stock Markets: An Empirical Case Study Using PGARCH Model on Toronto Stock Exchange (TSX)," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 61-68.
    28. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    29. Ederington, Louis H. & Guan, Wei, 2013. "The cross-sectional relation between conditional heteroskedasticity, the implied volatility smile, and the variance risk premium," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3388-3400.
    30. Williams, J., 2013. "Wheat and corn price skewness and volatility: Risk management implications for farmers and end users," Australasian Agribusiness Review, University of Melbourne, Department of Agriculture and Food Systems, vol. 21, pages 1-20.

  144. Lau-Fen Chu & Michael McAleer & Chi-Chung Chen, 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions And the Global Economy?," Working Papers in Economics 12/15, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Glen Livingston & Darfiana Nur, 2020. "Bayesian inference of smooth transition autoregressive (STAR)(k)–GARCH(l, m) models," Statistical Papers, Springer, vol. 61(6), pages 2449-2482, December.

  145. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Working Papers in Economics 12/04, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chen, Qiang & Gong, Yuting, 2019. "The economic sources of China's CSI 300 spot and futures volatilities before and after the 2015 stock market crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 102-121.
    2. Benjamin Poignard & Manabu Asaiz, 2020. "A Penalised OLS Framework for High-Dimensional Multivariate Stochastic Volatility Models," Discussion Papers in Economics and Business 20-02, Osaka University, Graduate School of Economics.
    3. Shawkat Hammoudeh & Michael McAleer, 2014. "Advances in Financial Risk Management and Economic Policy Uncertainty: An Overview," Tinbergen Institute Discussion Papers 14-076/III, Tinbergen Institute.
    4. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    5. Lin, Tiantian & Liu, Dehong & Zhang, Lili & Lung, Peter, 2019. "The information content of realized volatility of sector indices in China’s stock market," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 625-640.
    6. Yuta Kurose & Yasuhiro Omori, 2018. "Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1075, CIRJE, Faculty of Economics, University of Tokyo.
    7. Benjamin Poignard & Manabu Asai, 2022. "High-Dimensional Sparse Multivariate Stochastic Volatility Models," Papers 2201.08584, arXiv.org, revised May 2022.

  146. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 12/02, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Bernardo Bátiz-Lazo & Rasol Eskandari, 2013. "Trends and Directions in the Accounting, Business and Economic History of Spain, 1997-2011," Documentos de Trabajo (DT-AEHE) 1303, Asociación Española de Historia Económica.

  147. D.E. Allen & A. Kramadibrata & M. McAleer & R. Powell & A. K. Singh, 2012. "A non-parametric and entropy based analysis of the relationship between the VIX and S&P500," KIER Working Papers 827, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Athanasios P. Fassas & Nikolas Hourvouliades, 2019. "VIX Futures as a Market Timing Indicator," JRFM, MDPI, vol. 12(3), pages 1-9, July.
    2. Nektarios Aslanidis & Charlotte Christiansen & Christos S. Savva, 2021. "Quantile Risk–Return Trade-Off," JRFM, MDPI, vol. 14(6), pages 1-14, June.
    3. Parnes, Dror, 2024. "Copper-to-gold ratio as a leading indicator for the 10-Year Treasury yield," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).

  148. Shawkat Hammoudeh & Michael McAleer, 2012. "Risk Management and Financial Derivatives: An Overview," Working Papers in Economics 12/10, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    2. Duc Hong Vo & Son Van Huynh & Anh The Vo & Dao Thi-Thieu Ha, 2019. "The Importance of the Financial Derivatives Markets to Economic Development in the World’s Four Major Economies," JRFM, MDPI, vol. 12(1), pages 1-18, February.
    3. Min Bai & Samir Harith, 2023. "Measuring SMEs Risk – Evidence from Malaysia," SN Business & Economics, Springer, vol. 3(7), pages 1-32, July.
    4. Bianconi, Marcelo & MacLachlan, Scott & Sammon, Marco, 2015. "Implied volatility and the risk-free rate of return in options markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 1-26.
    5. Zheng, Chengli & Su, Kuangxi & Yao, Yinhong, 2021. "Hedging futures performance with denoising and noise-assisted strategies," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    6. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    7. Hong Vo, Duc & Van Nguyen, Phuc & Minh Nguyen, Ha & The Vo, Anh & Cong Nguyen, Thang, 2020. "Derivatives market and economic growth nexus: Policy implications for emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    8. Bouwman, Kees & Buis, Boyd & Pieterse-Bloem, Mary & Tham, Wing Wah, 2015. "A practical approach to constructing price-based funding liquidity factors," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 90-97.
    9. Mathias Tessmann & Carlos Carrasco-Gutierrez & Omar Khodr & Luiz Augusto Magalhães & Marcelo Passos, 2024. "Volatility Transmission and Market Connectivity of Metals and Energy Commodities: Insights from the Spillover Index," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 609-618, May.
    10. César Augusto Giraldo-Prietoa & Gabriel Jaime González Uribe & Cristhian Vesga Bermejo & Diana Carolina Ferreira Herrera, 2017. "Financial hedging with derivatives and its impact on the Colombian market value for listed companies," Contaduría y Administración, Accounting and Management, vol. 62(5), pages 19-20, Diciembre.
    11. Han, Chuan-Hsiang & Chang, Chien-Hung & Kuo, Chii-Shyan & Yu, Shih-Ti, 2015. "Robust hedging performance and volatility risk in option markets: Application to Standard and Poor's 500 and Taiwan index options," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 160-173.
    12. Hunzinger, Chadd B. & Labuschagne, Coenraad C.A., 2014. "The Cox, Ross and Rubinstein tree model which includes counterparty credit risk and funding costs," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 200-217.
    13. Liao, Shuyu & Sojli, Elvira & Tham, Wing Wah, 2015. "Managing systemic risk in The Netherlands," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 231-245.
    14. Yan Yan & Zhewen Liao & Xiaosong Chen, 2018. "Fixed-income securities: bibliometric review with network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1615-1640, September.
    15. Raimonda Martinkutė-Kaulienė, 2014. "Risk Factors in Derivatives Markets," Entrepreneurial Business and Economics Review, Centre for Strategic and International Entrepreneurship at the Cracow University of Economics., vol. 2(4), pages 71-83.
    16. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
    17. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    18. Atilgan, Yigit & Demirtas, K. Ozgur & Simsek, Koray D., 2016. "Derivative markets in emerging economies: A survey," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 88-102.

  149. David E Allen & Abhay K Singh & Robert J Powell & Michael McAleer & James Taylor & Lyn Thomas, 2012. "The Volatility-Return Relationship:Insights from Linear and Non-Linear Quantile Regressions," KIER Working Papers 831, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Agbeyegbe, Terence D., 2015. "An inverted U-shaped crude oil price return-implied volatility relationship," Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.
    2. Badshah, Ihsan & Frijns, Bart & Knif, Johan & Tourani-Rad, Alireza, 2016. "Asymmetries of the intraday return-volatility relation," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 182-192.

  150. Chia-Lin Chang & Michael McAleer & Les Oxley, 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Working Papers in Economics 12/13, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Michael McAleer & Judit Oláh & József Popp, 2018. "Pros and cons of the impact factor in a rapidly changing digital world," Documentos de Trabajo del ICAE 2018-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.

  151. David E Allen & Michael McAleer & Robert J Powell & Abhay Kumar Singh, 2012. "Volatility spillovers from the US to Australia and China across the GFC," KIER Working Papers 838, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Ataurima Arellano, Miguel & Rodríguez, Gabriel, 2020. "Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

  152. Massimiliano Caporin & Michael McAleer, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Working Papers in Economics 12/06, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
    2. Hallin, Marc & Trucíos, Carlos, 2023. "Forecasting value-at-risk and expected shortfall in large portfolios: A general dynamic factor model approach," Econometrics and Statistics, Elsevier, vol. 27(C), pages 1-15.
    3. Massimiliano Caporin & Paolo Paruolo, 2015. "Proximity-Structured Multivariate Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 559-593, May.
    4. Shang, Han Lin & Kearney, Fearghal, 2022. "Dynamic functional time-series forecasts of foreign exchange implied volatility surfaces," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1025-1049.
    5. Karatetskaya Efrosiniya & Lakshina Valeriya, 2018. "Volatility Spillovers With Spatial Effects On The Oil And Gas Market," HSE Working papers WP BRP 72/FE/2018, National Research University Higher School of Economics.
    6. Audrino, Francesco, 2014. "Forecasting correlations during the late-2000s financial crisis: The short-run component, the long-run component, and structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 43-60.
    7. G. C. Livingston & Darfiana Nur, 2023. "Bayesian inference of multivariate-GARCH-BEKK models," Statistical Papers, Springer, vol. 64(5), pages 1749-1774, October.
    8. Dean Fantazzini & Stephan Zimin, 2020. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 19-69, March.
    9. Gargallo, Pilar & Lample, Luis & Miguel, Jesús A. & Salvador, Manuel, 2024. "Sequential management of energy and low-carbon portfolios," Research in International Business and Finance, Elsevier, vol. 69(C).
    10. Aboura, Sofiane & Chevallier, Julien, 2015. "A cross-volatility index for hedging the country risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 25-41.
    11. Ralf Becker & Adam Clements & Robert O'Neill, 2018. "A Multivariate Kernel Approach to Forecasting the Variance Covariance of Stock Market Returns," Econometrics, MDPI, vol. 6(1), pages 1-27, February.
    12. Alexakis, Christos & Pappas, Vasileios, 2018. "Sectoral dynamics of financial contagion in Europe - The cases of the recent crises episodes," Economic Modelling, Elsevier, vol. 73(C), pages 222-239.
    13. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2023. "Insights of energy and its trade networking impacts on sustainable economic development," Energy, Elsevier, vol. 265(C).
    14. Amendola, Alessandra & Braione, Manuela & Candila, Vincenzo & Storti, Giuseppe, 2020. "A Model Confidence Set approach to the combination of multivariate volatility forecasts," International Journal of Forecasting, Elsevier, vol. 36(3), pages 873-891.
    15. Hautsch, Nikolaus & Kyj, Lada. M. & Malec, Peter, 2013. "Do high-frequency data improve high-dimensional portfolio allocations?," SFB 649 Discussion Papers 2013-014, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    16. Jacobs, Michael & Karagozoglu, Ahmet K., 2014. "On the characteristics of dynamic correlations between asset pairs," Research in International Business and Finance, Elsevier, vol. 32(C), pages 60-82.
    17. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    18. Fresoli, Diego E. & Ruiz, Esther, 2016. "The uncertainty of conditional returns, volatilities and correlations in DCC models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 170-185.
    19. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2019. "Volatility-dependent correlations: further evidence of when, where and how," Empirical Economics, Springer, vol. 57(2), pages 505-540, August.
    20. Timo Dimitriadis & Yannick Hoga, 2022. "Dynamic CoVaR Modeling and Estimation," Papers 2206.14275, arXiv.org, revised Jan 2025.
    21. Marc Hallin & Carlos Trucíos, 2020. "Forecasting Value-at-Risk and Expected Shortfall in Large Portfolios: a General Dynamic Factor Approach," Working Papers ECARES 2020-50, ULB -- Universite Libre de Bruxelles.
    22. Sylvain Barde, 2015. "A fast algorithm for finding the confidence set of large collections of models," Studies in Economics 1519, School of Economics, University of Kent.
    23. Takayuki Morimoto & Yoshinori Kawasaki, 2017. "Forecasting Financial Market Volatility Using a Dynamic Topic Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 149-167, September.
    24. Gian Piero Aielli & Massimiliano Caporin, 2015. "Dynamic Principal Components: a New Class of Multivariate GARCH Models," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
    25. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2016. "Volatility Dependent Dynamic Equicorrelation," NCER Working Paper Series 111, National Centre for Econometric Research.
    26. Yujia Hu, 2023. "A Heuristic Approach to Forecasting and Selection of a Portfolio with Extra High Dimensions," Mathematics, MDPI, vol. 11(6), pages 1-21, March.
    27. Li, Di & Wu, Zhige & Tang, Yixuan, 2024. "Do climate risks affect dirty–clean energy stock price dynamic correlations?," Energy Economics, Elsevier, vol. 136(C).
    28. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.
    29. Karim M Abadir, 2023. "Explicit minimal representation of variance matrices, and its implication for dynamic volatility models," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 88-104.
    30. Pappas, Vasileios & Ingham, Hilary & Izzeldin, Marwan & Steele, Gerry, 2016. "Will the crisis “tear us apart”? Evidence from the EU," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 346-360.

  153. Michael McAleer & Juan-Ángel Jiménez-Martín & Teodosio Pérez-Amaral, 2011. "International Evidence on GFC-robust Forecasts for Risk Management under the Basel Accord," Working Papers in Economics 11/05, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    3. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang Liu & Raja Nassar & Min Guo, 2015. "A Method of Retail Mortgage Stress Testing: Based on Time‐Frame and Magnitude Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(4), pages 261-274, July.
    6. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    7. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    8. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.
    9. Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
    10. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "GFC-robust risk management strategies under the Basel Accord," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 97-111.
    11. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    12. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-952, CIRJE, Faculty of Economics, University of Tokyo.
    13. Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017. "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 88-102, November.
    14. Wei Kuang, 2024. "High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-35, May.
    15. Szymon Lis & Marcin Chlebus, 2021. "Comparison of the accuracy in VaR forecasting for commodities using different methods of combining forecasts," Working Papers 2021-11, Faculty of Economic Sciences, University of Warsaw.
    16. Boucher, Christophe M. & Danielsson, Jon & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014. "Risk models–at–risk," LSE Research Online Documents on Economics 59299, London School of Economics and Political Science, LSE Library.
    17. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    18. Millicent Chang & Andrew B. Jackson & Marvin Wee, 2018. "A review of research on regulation changes in the Asia‐Pacific region," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 635-667, September.

  154. David E. Allena & Ron Amrama & Michael McAleer, 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Working Papers in Economics 11/42, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," Tinbergen Institute Discussion Papers 13-072/III, Tinbergen Institute.
    2. Huo, Rui & Ahmed, Abdullahi D., 2017. "Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect," Economic Modelling, Elsevier, vol. 61(C), pages 260-272.
    3. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.
    4. Laura Grace Gabriella & Revathy Suryanarayana & Vania Esady, 2016. "Financial Integration in ASEAN-5," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 62, pages 44-58, April.
    5. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    6. Chang, C-L. & Allen, D.E. & McAleer, M.J. & Pérez-Amaral, T., 2013. "Risk Modelling and Management: An Overview," Econometric Institute Research Papers EI 2013-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    8. Vuong, Giang Thi Huong & Nguyen, Manh Huu & Huynh, Anh Ngoc Quang, 2022. "Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    9. Xiaoxiao Liu & Wei Wang, 2025. "Improving Sliding Window Effect of LSTM in Stock Prediction Based on Econometrics Theory," Computational Economics, Springer;Society for Computational Economics, vol. 65(4), pages 2057-2080, April.
    10. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
    11. Jung-Bin Su, 2022. "The Research on the Interactions between the Emerging and Developed Markets: From Region and Structural Break Perspectives," Mathematics, MDPI, vol. 10(8), pages 1-38, April.
    12. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    13. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol & Kurowski, Łukasz & Smaga, Paweł, 2021. "Two decades of contagion effect on stock markets: Which events are more contagious?," Journal of Financial Stability, Elsevier, vol. 55(C).
    14. Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
    15. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    16. Yu, Honghai & Fang, Libing & Sun, Wencong, 2018. "Forecasting performance of global economic policy uncertainty for volatility of Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 931-940.
    17. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    18. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    19. Apostolakis, George, 2016. "Spreading crisis: Evidence of financial stress spillovers in the Asian financial markets," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 542-551.
    20. Wang, Qizhen & Zhu, Yingming & Yang, Liansheng & Mul, Remco A.H., 2017. "Coupling detrended fluctuation analysis of Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 337-350.
    21. Sonali Agarwal, 2017. "Volatility in Stock Markets: A Comparison of Developed and Emerging Markets of the World," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 8(2), pages 87-92, May.
    22. Ngo Thai HUNG, 2022. "Re-Study on Dynamic Connectedness between Macroeconomic Indicators and the Stock Market in China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 104-124, April.
    23. Geeta Duppati & Yang (Greg) Hou & Frank Scrimgeour, 2017. "The dynamics of price discovery for cross-listed stocks evidence from US and Chinese markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1389675-138, January.
    24. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Wei Chi & Hung Xuan Do, 2018. "Volatility spillover between the US, Chinese and Australian stock markets," Australian Journal of Management, Australian School of Business, vol. 43(2), pages 263-285, May.
    25. Ma, Xiuying & Yang, Zhihua & Xu, Xiangyun & Wang, Chengqi, 2018. "The impact of Chinese financial markets on commodity currency exchange rates," Global Finance Journal, Elsevier, vol. 37(C), pages 186-198.
    26. Liao, Jia & Qian, Qi & Xu, Xiangyun, 2018. "Whether the fluctuation of China’s financial markets have impact on global commodity prices?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1030-1040.
    27. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.
    28. Do, A. & Powell, R. & Yong, J. & Singh, A., 2020. "Time-varying asymmetric volatility spillover between global markets and China’s A, B and H-shares using EGARCH and DCC-EGARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  155. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2011. "Evaluating Individual and Mean Non-Replicable Forecasts," Working Papers in Economics 11/16, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Sun, Yuying & Wang, Shouyang & Zhang, Xun, 2018. "How efficient are China's macroeconomic forecasts? Evidences from a new forecasting evaluation approach," Economic Modelling, Elsevier, vol. 68(C), pages 506-513.

  156. Chia-Lin Chang & Michael McAleer, 2011. "Citations and Impact of ISI Tourism and Hospitality Journals," Working Papers in Economics 11/27, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Luis Miguel López-Bonilla & María del Carmen Reyes-Rodríguez & Jesús Manuel López-Bonilla, 2020. "Golf Tourism and Sustainability: Content Analysis and Directions for Future Research," Sustainability, MDPI, vol. 12(9), pages 1-18, April.
    4. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Chia-Lin Chang & Michael McAleer, 2011. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environmental and Resource Economics," Documentos de Trabajo del ICAE 2011-39, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Concepción Foronda-Robles & Luis Galindo-Pérez-de-Azpillaga, 2016. "From initial dissemination to consolidated impact: the concept of crisis in the field of tourism," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 261-281, October.
    8. Anastasios Zopiatis & Antonis L. Theocharous & Panayiotis Constanti, 2015. "‘The past is prologue to the future’: an introspective view of hospitality and tourism research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1731-1753, February.
    9. McKercher, Bob & Tung, Vincent, 2015. "Publishing in tourism and hospitality journals: Is the past a prelude to the future?," Tourism Management, Elsevier, vol. 50(C), pages 306-315.
    10. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Documentos de Trabajo del ICAE 2012-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Buckley, Ralf, 2019. "Tourism publications as newly tradeable commodities: Academic performance, prestige, power, competition, constraints and consents," Annals of Tourism Research, Elsevier, vol. 74(C), pages 121-133.
    12. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.

  157. Shawkat Hammoudeh & Tengdong Liu & Chia-Lin Chang & Michael McAleer, 2011. "Risk Spillovers in Oil-Related CDS, Stock and Credit Markets," Working Papers in Economics 11/17, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Bajaj, Vimmy & Kumar, Pawan & Singh, Vipul Kumar, 2023. "Systemwide directional connectedness from Crude Oil to sovereign credit risk," Journal of Commodity Markets, Elsevier, vol. 30(C).
    2. Blumenstock, Hendrik & von Grone, Udo & Mehlhorn, Marc & Merkl, Johannes & Pietz, Marcus, 2012. "Einflussfaktoren von CDS-Spreads als Maß für das aktuelle Bonitätsrisiko: Liefert das Rating eine Erklärung?," Bayreuth Working Papers on Finance, Accounting and Taxation (FAcT-Papers) 2012-03, University of Bayreuth, Chair of Finance and Banking.
    3. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    4. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    5. Arreola Hernandez, Jose, 2014. "Are oil and gas stocks from the Australian market riskier than coal and uranium stocks? Dependence risk analysis and portfolio optimization," Energy Economics, Elsevier, vol. 45(C), pages 528-536.
    6. Balcilar, Mehmet & Hammoudeh, Shawkat & Toparli, Elif Akay, 2018. "On the risk spillover across the oil market, stock market, and the oil related CDS sectors: A volatility impulse response approach," Energy Economics, Elsevier, vol. 74(C), pages 813-827.
    7. Elie Bouri & Syed Jawad Hussain Shahzad, 2022. "Network Topology of Dynamic Credit Default Swap Curves of Energy Firms and the Role of Oil Shocks," The Energy Journal, , vol. 43(1_suppl), pages 1-26, June.
    8. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Wegener, Christoph & Basse, Tobias & Maiani, Stefano & Nguyen, Tam Huu, 2025. "Predictive power of oil prices on CDS spread dynamics of oil-producing countries," Energy Economics, Elsevier, vol. 145(C).
    10. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Ferrer, Roman & Hammoudeh, Shawkat, 2017. "Asymmetric determinants of CDS spreads: U.S. industry-level evidence through the NARDL approach," Economic Modelling, Elsevier, vol. 60(C), pages 211-230.
    11. Yang, Lu & Yang, Lei & Hamori, Shigeyuki, 2018. "Determinants of dependence structures of sovereign credit default swap spreads between G7 and BRICS countries," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 19-34.
    12. Won Joong Kim & Gunho Jung & Sun-Yong Choi, 2020. "Forecasting CDS Term Structure Based on Nelson–Siegel Model and Machine Learning," Complexity, Hindawi, vol. 2020, pages 1-23, July.
    13. Saker Sabkha & Christian de Peretti & Dorra Hmaied, 2019. "Nonlinearities in the oil effects on the sovereign credit risk: A self-exciting threshold autoregression approach," Post-Print hal-03484603, HAL.
    14. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    15. Pawan Kumar & Vipul Kumar Singh, 2025. "Quadrant categorization of spillover determinants of sovereign risk of BRICIT nations: a Bayesian approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-22, December.
    16. Shahzad, Syed Jawad Hussain & Naifar, Nader & Hammoudeh, Shawkat & Roubaud, David, 2017. "Directional predictability from oil market uncertainty to sovereign credit spreads of oil-exporting countries: Evidence from rolling windows and crossquantilogram analysis," Energy Economics, Elsevier, vol. 68(C), pages 327-339.
    17. Nader Naifar & Shawkat Hammoudeh & Aviral Kumar Tiwari, 2019. "Do Energy and Banking CDS Sector Spreads Reflect Financial Risks and Economic Policy Uncertainty? A Time-Scale Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 507-534, August.
    18. Ren, Yi-Shuai & Klein, Tony & Jiang, Yong & Liu, Pei-Zhi & Weber, Olaf, 2025. "Dynamic connectedness between crude oil futures and energy industrial bond credit spread: Evidence from China," Energy Economics, Elsevier, vol. 143(C).
    19. Depren, Özer & Kartal, Mustafa Tevfik & Kılıç Depren, Serpil, 2021. "Changes of gold prices in COVID-19 pandemic: Daily evidence from Turkey's monetary policy measures with selected determinants," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    20. Karol Szafranek & Marek Kwas & Grzegorz Szafrański & Zuzanna Wośko, 2020. "Common Determinants of Credit Default Swap Premia in the North American Oil and Gas Industry. A Panel BMA Approach," Energies, MDPI, vol. 13(23), pages 1-23, November.
    21. Mensi, Walid & Shahzad, Syed Jawad Hussain & Hammoudeh, Shawkat & Hkiri, Besma & Hamed Al Yahyaee, Khamis, 2019. "Long-run relationships between US financial credit markets and risk factors: Evidence from the quantile ARDL approach," Finance Research Letters, Elsevier, vol. 29(C), pages 101-110.
    22. Zaharieva, Martina Danielova & Virbickaitė, Audronė & Santos, André Portela, 2025. "Intraday volatility transmission in global energy markets: A Bayesian nonparametric approach," Journal of Commodity Markets, Elsevier, vol. 39(C).
    23. Andriosopoulos, Kostas & Galariotis, Emilios & Spyrou, Spyros, 2017. "Contagion, volatility persistence and volatility spill-overs: The case of energy markets during the European financial crisis," Energy Economics, Elsevier, vol. 66(C), pages 217-227.
    24. Abdullah Alqahtani & Julien Chevallier, 2020. "Dynamic Spillovers between Gulf Cooperation Council’s Stocks, VIX, Oil and Gold Volatility Indices," JRFM, MDPI, vol. 13(4), pages 1-17, April.
    25. Pavlova, Ivelina & de Boyrie, Maria E. & Parhizgari, Ali M., 2018. "A dynamic spillover analysis of crude oil effects on the sovereign credit risk of exporting countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 10-22.
    26. Cervera, Ignacio & Figuerola-Ferretti, Isabel, 2024. "Credit risk and bubble behavior of credit default swaps in the corporate energy sector," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 702-731.
    27. Yihong Ma & Simon Cottrell & Sarath Delpachitra & Xiao Yu & Ping Jiang & Quan Tran Ha Minh, 2023. "What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries," The Energy Journal, , vol. 44(5), pages 277-300, September.
    28. Peri, M. & Vandone, D. & Baldi, L., 2015. "Volatility Spillover between Water, Food and Energy," 2015 Conference, August 9-14, 2015, Milan, Italy 212627, International Association of Agricultural Economists.
    29. Massimo Peri & Daniela Vandone & Lucia Baldi, 2017. "Volatility Spillover between Water, Energy and Food," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    30. Guesmi, Khaled & Dhaoui, Abderrazak & Goutte, Stéphane & Abid, Ilyes, 2018. "On the determinants of industry-CDS index spreads: Evidence from a nonlinear setting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 233-254.
    31. Hau, Liya & Liu, Xiaoli & Wu, Xinyu, 2025. "Multiscale cross-sector tail credit risk spillovers in China: Evidence from EEMD-based VAR quantile analysis," Research in International Business and Finance, Elsevier, vol. 73(PA).

  158. Isao Ishida & Michael McAleer & Kosuke Oya, 2011. "Estimating the Leverage Parameter of Continuous-time Stochastic Volatility Models Using High Frequency S&P 500 and VIX," Working Papers in Economics 11/11, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
    2. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    3. Bregantini, Daniele, 2013. "Moment-based estimation of stochastic volatility," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4755-4764.
    4. Shou-Lei Wang & Yu-Fei Yang & Yu-Hua Zeng, 2014. "The Adjoint Method for the Inverse Problem of Option Pricing," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    5. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.

  159. Chia-Lin Chang & Michael McAleer, 2011. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environmental and Resource Economics," Working Papers in Economics 11/43, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. David L. Anderson & John Tressler, 2016. "Citation-Capture Rates for Economics Journals: Do they Differ from Other Disciplines and Does it Matter?," Economic Papers, The Economic Society of Australia, vol. 35(1), pages 73-85, March.
    3. József Popp & Péter Balogh & Judit Oláh & Sebastian Kot & Mónika Harangi Rákos & Péter Lengyel, 2018. "Social Network Analysis of Scientific Articles Published by Food Policy," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    4. Bachir Kassas & Glory E. Orivri & Marco A. Palma & Octavio Ramirez, 2025. "Assessing research output quality in agricultural economics," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(1), pages 4-24, March.
    5. Roger Fouquet, 2012. "Economics of Energy and Climate Change: Origins, Developments and Growth," Working Papers 2012-08, BC3.
    6. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    7. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  160. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," Working Papers in Economics 11/32, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    2. Yu, Xisheng & Xie, Xiaoke, 2015. "Pricing American options: RNMs-constrained entropic least-squares approach," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 155-173.
    3. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
    4. Shi, Yanlin & Ho, Kin-Yip, 2021. "News sentiment and states of stock return volatility: Evidence from long memory and discrete choice models," Finance Research Letters, Elsevier, vol. 38(C).
    5. Hammoudeh, S.M. & McAleer, M.J., 2012. "Risk Management and Financial Derivatives: An Overview," Econometric Institute Research Papers EI 2012-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Kotzé, Antonie & Labuschagne, Coenraad C.A. & Nair, Merell L. & Padayachi, Nadine, 2013. "Arbitrage-free implied volatility surfaces for options on single stock futures," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 380-399.
    7. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    8. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
    9. Wang, Yuming & Ma, Jinpeng, 2014. "Excess volatility and the cross-section of stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 1-16.
    10. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

  161. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Documentos de Trabajo del ICAE 2015-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    4. Kinateder, Harald & Campbell, Ross & Choudhury, Tonmoy, 2021. "Safe haven in GFC versus COVID-19: 100 turbulent days in the financial markets," Finance Research Letters, Elsevier, vol. 43(C).
    5. Chang, C-L. & Allen, D.E. & McAleer, M.J. & Pérez-Amaral, T., 2013. "Risk Modelling and Management: An Overview," Econometric Institute Research Papers EI 2013-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2015. "Parallel Sequential Monte Carlo for Efficient Density Combination: The DeCo MATLAB Toolbox," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 68(i03).
    7. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    8. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    9. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
    10. Chiara Lattanzi & Manuele Leonelli, 2019. "A changepoint approach for the identification of financial extreme regimes," Papers 1902.09205, arXiv.org.
    11. Chao Wang & Qian Chen & Richard Gerlach, 2017. "Bayesian Realized-GARCH Models for Financial Tail Risk Forecasting Incorporating Two-sided Weibull Distribution," Papers 1707.03715, arXiv.org.
    12. Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
    13. Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017. "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 175-198.
    14. Tim Leung & Brian Ward, 2015. "The Golden Target: Analyzing the Tracking Performance of Leveraged Gold ETFs," Papers 1501.02276, arXiv.org, revised Jan 2015.
    15. Richard Gerlach & Chao Wang, 2016. "Bayesian Semi-parametric Realized-CARE Models for Tail Risk Forecasting Incorporating Realized Measures," Papers 1612.08488, arXiv.org.
    16. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.

  162. Cathy W. S. Chen & Richard Gerlach & Bruce B. K. Hwang & Michael McAleer, 2011. "Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intra-day Range," Working Papers in Economics 11/22, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Meng, Xiaochun & Taylor, James W., 2018. "An approximate long-memory range-based approach for value at risk estimation," International Journal of Forecasting, Elsevier, vol. 34(3), pages 377-388.
    2. Liu Xiaochun & Luger Richard, 2018. "Markov-switching quantile autoregression: a Gibbs sampling approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(2), pages 1, April.
    3. Rita Pimentel & Morten Risstad & Sjur Westgaard, 2022. "Predicting interest rate distributions using PCA & quantile regression," Digital Finance, Springer, vol. 4(4), pages 291-311, December.
    4. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.
    5. Yun Duan, 2022. "A Novel Interval Energy-Forecasting Method for Sustainable Building Management Based on Deep Learning," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    6. CHEN, Cathy W.S. & WENG, Monica M.C. & WATANABE, Toshiaki & 渡部, 渡部, 2015. "Employing Bayesian Forecasting of Value-at-Risk to Determine an Appropriate Model for Risk Management," Discussion paper series HIAS-E-16, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    7. Candila, Vincenzo & Petrella, Lea & Andreani, Mila, 2025. "Mixed-frequency Quantile Regression Forests for Value-at-Risk forecasting," Energy Economics, Elsevier, vol. 149(C).
    8. Tibor Szendrei, 2025. "Crossing penalised CAViaR," Papers 2501.10564, arXiv.org.
    9. Kaihua Deng, 2015. "Predicting By Learning: An Adaptive Rationale," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-14, December.
    10. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2017. "Forecasting market returns: bagging or combining?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 102-120.
    11. Chiranjit Dutta & Kara Karpman & Sumanta Basu & Nalini Ravishanker, 2023. "Review of Statistical Approaches for Modeling High-Frequency Trading Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 1-48, May.
    12. Seyed Mohammad Sina Seyfi & Azin Sharifi & Hamidreza Arian, 2020. "Portfolio Risk Measurement Using a Mixture Simulation Approach," Papers 2011.07994, arXiv.org.
    13. Hong, Sungchul & Choi, Yunjin & Jeon, Jong-June, 2025. "Interpretable water level forecaster with spatiotemporal causal attention mechanisms," International Journal of Forecasting, Elsevier, vol. 41(3), pages 1037-1054.
    14. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    15. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
    16. Bagher Adabi & Mohsen Mehrara & Shapour Mohammadi, 2015. "Evaluation Approaches of Value at Risk for Tehran Stock Exchange," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 19(1), pages 41-62, Winter.
    17. Peng, Wei & Hu, Shichao & Chen, Wang & Zeng, Yu-feng & Yang, Lu, 2019. "Modeling the joint dynamic value at risk of the volatility index, oil price, and exchange rate," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 137-149.
    18. Demetrio Lacava, 2026. "Modeling and Forecasting Tail Risk Spillovers: A Component-Based CAViaR Approach," Papers 2603.25217, arXiv.org.
    19. Henning Fischer & Ángela Blanco‐FERNÁndez & Peter Winker, 2016. "Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(2), pages 113-146, March.
    20. Velasco, Sofia, 2024. "Asymmetries in the transmission of monetary policy shocks over the business cycle: a Bayesian quantile factor augmented VAR," Working Paper Series 2983, European Central Bank.
    21. Kim, Minjo & Lee, Sangyeol, 2016. "Nonlinear expectile regression with application to Value-at-Risk and expected shortfall estimation," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 1-19.
    22. Taylor, James W., 2020. "Forecast combinations for value at risk and expected shortfall," International Journal of Forecasting, Elsevier, vol. 36(2), pages 428-441.
    23. Arian, Hamid & Moghimi, Mehrdad & Tabatabaei, Ehsan & Zamani, Shiva, 2022. "Encoded Value-at-Risk: A machine learning approach for portfolio risk measurement," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 202(C), pages 500-525.
    24. Li, Lu & Li, Degao & Liu, Li & Tang, Linjun, 2025. "Forecasting Value-at-Risk and Expected Shortfall using penalized quantile regressions with mixed-frequency data," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
    25. Seyfi, Seyed Mohammad Sina & Sharifi, Azin & Arian, Hamidreza, 2021. "Portfolio Value-at-Risk and expected-shortfall using an efficient simulation approach based on Gaussian Mixture Model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 190(C), pages 1056-1079.
    26. David Kohns & Tibor Szendrei, 2020. "Horseshoe Prior Bayesian Quantile Regression," Papers 2006.07655, arXiv.org, revised Mar 2021.
    27. Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
    28. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.

  163. Ishida, I. & McAleer, M.J. & Oya, K., 2011. "Estimating the Leverage Parameter of Continuous-time Stochastic Volatility Models Using High Frequency S&P 500 VIX," Econometric Institute Research Papers EI 2011-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
    2. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    3. Bregantini, Daniele, 2013. "Moment-based estimation of stochastic volatility," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4755-4764.
    4. Shou-Lei Wang & Yu-Fei Yang & Yu-Hua Zeng, 2014. "The Adjoint Method for the Inverse Problem of Option Pricing," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-7, March.
    5. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.

  164. Philip Hans Franses & Chia-Lin Chang & Michael McAleer, 2011. "Analyzing Fixed-event Forecast Revisions," Working Papers in Economics 11/25, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Jeff Messina & Tara M. Sinclair & Herman O. Stekler, 2014. "What Can We Learn From Revisions To The Greenbook Forecasts?," Working Papers 2014-003, The George Washington University, The Center for Economic Research.
    2. Iregui, Ana María & Núñez, Héctor M. & Otero, Jesús, 2021. "Testing the efficiency of inflation and exchange rate forecast revisions in a changing economic environment," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 290-314.
    3. Sun, Yuying & Wang, Shouyang & Zhang, Xun, 2018. "How efficient are China's macroeconomic forecasts? Evidences from a new forecasting evaluation approach," Economic Modelling, Elsevier, vol. 68(C), pages 506-513.
    4. Chang, Chia-Lin & Ke, Yu-Pei, 2014. "Testing Price Pressure, Information, Feedback Trading, and Smoothing Effects for Energy Exchange Traded Funds," MPRA Paper 57625, University Library of Munich, Germany.
    5. Fritsch, Markus & Haupt, Harry & Schnurbus, Joachim, 2025. "Efficiency of poll-based multi-period forecasting systems for German state elections," International Journal of Forecasting, Elsevier, vol. 41(2), pages 670-688.
    6. Iregui, Ana María & Núñez, Héctor M. & Otero, Jesús, 2025. "Testing the efficiency of oil price forecast revisions in times of COVID-19 and the Russia–Ukraine conflict," Journal of Commodity Markets, Elsevier, vol. 40(C).
    7. Tian, Jing & Goodwin, Thomas, 2018. "An unobserved component modeling approach to evaluate multi-horizon forecasts," Working Papers 2018-04, University of Tasmania, Tasmanian School of Business and Economics.

  165. Ramazan Sari & Shawkat Hammoudeh & Chia-Lin Chang & Michael McAleer, 2011. "Causality Between Market Liquidity and Depth for Energy and Grains," Working Papers in Economics 11/15, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Co-integration of Oil and Commodity Prices: A Comprehensive ApproachAbstract," Working Papers fa05-2013, Economics for Energy.
    2. Awartani, Basel & Aktham, Maghyereh & Cherif, Guermat, 2016. "The connectedness between crude oil and financial markets: Evidence from implied volatility indices," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 56-69.
    3. Pham T. T. Trinh & Bui T. T. My, 2023. "The impact of world oil price shocks on macroeconomic variables in Vietnam: the transmission through domestic oil price," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 37(1), pages 67-87, May.
    4. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    5. Zhang, Chuanguo & Chen, Xiaoqing, 2014. "The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries," Energy Policy, Elsevier, vol. 66(C), pages 32-41.
    6. Antonakakis, Nikolaos & Floros, Christos & Kizys, Renatas, 2016. "Dynamic spillover effects in futures markets: UK and US evidence," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 406-418.
    7. Demirer, Rıza & Lee, Hsiang-Tai & Lien, Donald, 2015. "Does the stock market drive herd behavior in commodity futures markets?," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 32-44.
    8. Wang, Linjie & Etienne, Xiaoli & Li, Jian, 2024. "Food-fuel nexus beyond mean-variance: New evidence from a quantile approach," Journal of Commodity Markets, Elsevier, vol. 36(C).
    9. Boroumand, Raphaël Homayoun & Porcher, Thomas, 2023. "Volatility contagion and connectedness between WTI and commodity markets," Finance Research Letters, Elsevier, vol. 58(PA).
    10. Cifarelli, Giulio & Paesani, Paolo, 2018. "Navigating the oil bubble: A non-linear heterogeneous-agent dynamic model of futures oil pricing," MPRA Paper 90470, University Library of Munich, Germany.
    11. Bernardina Algieri, 2021. "Fast & furious: Do psychological and legal factors affect commodity price volatility?," The World Economy, Wiley Blackwell, vol. 44(4), pages 980-1017, April.
    12. Zhan-Ming Chen & Liyuan Wang & Xiao-Bing Zhang & Xinye Zheng, 2019. "The Co-Movement and Asymmetry between Energy and Grain Prices: Evidence from the Crude Oil and Corn Markets," Energies, MDPI, vol. 12(7), pages 1-18, April.
    13. Walid Mensi & Shawkat Hammoudeh & Duc Khuong Nguyen & Seong-Min Yoon, 2014. "Dynamic spillovers among major energy and cereal commodity prices," Working Papers 2014-160, Department of Research, Ipag Business School.
    14. Theodoros Daglis & Konstantinos N. Konstantakis & Panos Xidonas & Panayotis G. Michaelides & Constantin Zopounidis, 2025. "Solar events and the US energy sector: a novel sectoral spillover GVAR approach introducing indirect GIRFs (IGIRF)," Annals of Operations Research, Springer, vol. 355(1), pages 693-719, December.
    15. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    16. Mohcine Bakhat & Klaas WŸrzburg, 2013. "Price Relationships of Crude Oil and Food Commodities," Working Papers fa06-2013, Economics for Energy.
    17. Ding, Shusheng & Cui, Tianxiang & Zheng, Dandan & Du, Min, 2021. "The effects of commodity financialization on commodity market volatility," Resources Policy, Elsevier, vol. 73(C).
    18. Mensi, Walid & Tiwari, Aviral & Bouri, Elie & Roubaud, David & Al-Yahyaee, Khamis H., 2017. "The dependence structure across oil, wheat, and corn: A wavelet-based copula approach using implied volatility indexes," Energy Economics, Elsevier, vol. 66(C), pages 122-139.
    19. Kuruppuarachchi, Duminda & Premachandra, I.M., 2016. "Information spillover dynamics of the energy futures market sector: A novel common factor approach," Energy Economics, Elsevier, vol. 57(C), pages 277-294.
    20. Jiang, Yonghong & Lao, Jiashun & Mo, Bin & Nie, He, 2018. "Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 265-279.
    21. Chang, Chia-Lin & Chen, Li-Hsueh & Hammoudeh, Shawkat & McAleer, Michael, 2012. "Asymmetric adjustments in the ethanol and grains markets," Energy Economics, Elsevier, vol. 34(6), pages 1990-2002.
    22. Lin, Yu & Xiao, Yang & Li, Fuxing, 2020. "Forecasting crude oil price volatility via a HM-EGARCH model," Energy Economics, Elsevier, vol. 87(C).
    23. Diks, C.G.H. & Wolski, M., 2013. "Nonlinear Granger Causality: Guidelines for Multivariate Analysis," CeNDEF Working Papers 13-15, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    24. Liu, Ming-Lei & Ji, Qiang & Fan, Ying, 2013. "How does oil market uncertainty interact with other markets? An empirical analysis of implied volatility index," Energy, Elsevier, vol. 55(C), pages 860-868.

  166. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "How are Journal Impact, Prestige and Article Influence Related? An Application to Neuroscience," Working Papers in Economics 11/06, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 12/02, University of Canterbury, Department of Economics and Finance.
    7. Michael McAleer & Chia-Lin Chang, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks:An Application to ISI Statistics & Probability," KIER Working Papers 819, Kyoto University, Institute of Economic Research.
    8. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Chang, C-L. & McAleer, M.J. & Maasoumi, E., 2012. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Institute Research Papers EI 2012-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chang, C-L. & McAleer, M.J., 2011. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environment and Resource Economics," Econometric Institute Research Papers EI 2011-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    12. Bornmann, Lutz & Butz, Alexander & Wohlrabe, Klaus, 2017. "What are the Top Five Journals in Economics? A New Meta–ranking," MPRA Paper 79176, University Library of Munich, Germany.
    13. Dašić Predrag, 2015. "State and Analysis of Scientific Journals in the Field of “Economic Sciences” for the Period 1995-2014," Economic Themes, Sciendo, vol. 53(4), pages 547-581, December.
    14. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  167. Shawkat Hammoudeh & Soodabeh Sarafrazi & Chia-Lin Chang & Michael McAleer, 2011. "The Dynamics of Energy-Grain Prices with Open Interest," Working Papers in Economics 11/24, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Chen, Li-Hsueh & Hammoudeh, Shawkat & McAleer, Michael, 2012. "Asymmetric adjustments in the ethanol and grains markets," Energy Economics, Elsevier, vol. 34(6), pages 1990-2002.

  168. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/12, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Documentos de Trabajo del ICAE 2015-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    4. Kinateder, Harald & Campbell, Ross & Choudhury, Tonmoy, 2021. "Safe haven in GFC versus COVID-19: 100 turbulent days in the financial markets," Finance Research Letters, Elsevier, vol. 43(C).
    5. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    6. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    7. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
    8. Chiara Lattanzi & Manuele Leonelli, 2019. "A changepoint approach for the identification of financial extreme regimes," Papers 1902.09205, arXiv.org.
    9. Chao Wang & Qian Chen & Richard Gerlach, 2017. "Bayesian Realized-GARCH Models for Financial Tail Risk Forecasting Incorporating Two-sided Weibull Distribution," Papers 1707.03715, arXiv.org.
    10. Tim Leung & Brian Ward, 2015. "The Golden Target: Analyzing the Tracking Performance of Leveraged Gold ETFs," Papers 1501.02276, arXiv.org, revised Jan 2015.
    11. Richard Gerlach & Chao Wang, 2016. "Bayesian Semi-parametric Realized-CARE Models for Tail Risk Forecasting Incorporating Realized Measures," Papers 1612.08488, arXiv.org.
    12. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.

  169. Massimiliano Caporin & Michael McAleer, 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Working Papers in Economics 11/23, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
    2. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2013. "On the Benefits of Equicorrelation for Portfolio Allocation," NCER Working Paper Series 99, National Centre for Econometric Research.
    3. Zhou, Jian, 2014. "Modeling conditional covariance for mixed-asset portfolios," Economic Modelling, Elsevier, vol. 40(C), pages 242-249.
    4. Bouri, Elie & Chen, Qian & Lien, Donald & Lv, Xin, 2017. "Causality between oil prices and the stock market in China: The relevance of the reformed oil product pricing mechanism," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 34-48.
    5. Adam E Clements & Ayesha Scott & Annastiina Silvennoinen, 2012. "Forecasting multivariate volatility in larger dimensions: some practical issues," NCER Working Paper Series 80, National Centre for Econometric Research.

  170. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Kinateder, Harald & Campbell, Ross & Choudhury, Tonmoy, 2021. "Safe haven in GFC versus COVID-19: 100 turbulent days in the financial markets," Finance Research Letters, Elsevier, vol. 43(C).
    2. Chia-Lin Chang & Juan-Angel Jimenez-Martin & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," Documentos de Trabajo del ICAE 2011-35, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017. "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, vol. 10(11), pages 88-102, November.
    4. Liu, Xiaochun, 2017. "An integrated macro-financial risk-based approach to the stressed capital requirement," Review of Financial Economics, Elsevier, vol. 34(C), pages 86-98.

  171. Felix Chan & Michael McAleer & Marcelo C. Medeiros, 2010. "Structure and Asymptotic Theory for Nonlinear Models with GARCH Errors," Working Papers in Economics 10/79, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Thomas Chuffart, 2015. "Selection Criteria in Regime Switching Conditional Volatility Models," Post-Print hal-01457388, HAL.

  172. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2010. "Block Structure Multivariate Stochastic Volatility Models," Working Papers in Economics 10/24, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    2. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Forecasting Realized (Co)Variances with a Bloc Structure Wishart Autoregressive Model," Working Papers on Finance 1211, University of St. Gallen, School of Finance.
    3. Bonato, Mateo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Risk Spillovers in International Equity Portfolios," Working Papers on Finance 1214, University of St. Gallen, School of Finance.
    4. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    5. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    6. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    7. Mustafa Hakan Eratalay, 2012. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," EUSP Department of Economics Working Paper Series 2012/04, European University at St. Petersburg, Department of Economics.
    8. Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
    9. Haroon Mumtaz & Francesco Zanetti, 2013. "The Impact of the Volatility of Monetary Policy Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 535-558, June.
    10. Caldeira, João F & Moura, Guilherme Valle & Santos, André Alves Portela, 2013. "Seleção de carteiras utilizando o modelo Fama-French-Carhart," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    11. Shawkat Hammoudeh & Michael McAleer, 2014. "Advances in Financial Risk Management and Economic Policy Uncertainty: An Overview," Tinbergen Institute Discussion Papers 14-076/III, Tinbergen Institute.
    12. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
    13. Anna Pajor & Justyna Wróblewska, 2022. "Forecasting performance of Bayesian VEC-MSF models for financial data in the presence of long-run relationships," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 427-448, September.
    14. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    15. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    16. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Diks, Cees & Panchenko, Valentyn & Sokolinskiy, Oleg & van Dijk, Dick, 2014. "Comparing the accuracy of multivariate density forecasts in selected regions of the copula support," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 79-94.
    18. Skaug, Hans J. & Yu, Jun, 2014. "A flexible and automated likelihood based framework for inference in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 642-654.
    19. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    20. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    21. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    22. Caporin, Massimiliano, 2013. "Equity and CDS sector indices: Dynamic models and risk hedging," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 261-275.
    23. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    24. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
    25. Caporin, Massimiliano & McAleer, Michael, 2014. "Robust ranking of multivariate GARCH models by problem dimension," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 172-185.
    26. Ishihara, Tsunehiro & Omori, Yasuhiro & Asai, Manabu, 2016. "Matrix exponential stochastic volatility with cross leverage," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 331-350.
    27. Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019. "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS 29291, Universidad Carlos III de Madrid. Departamento de Estadística.
    28. McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
    29. Luger, Richard, 2025. "Regularizing stock return covariance matrices via multiple testing of correlations," Journal of Econometrics, Elsevier, vol. 248(C).
    30. Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
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    36. Ben Amar, Amine & Bouattour, Mondher & Bellalah, Makram & Goutte, Stéphane, 2023. "Shift contagion and minimum causal intensity portfolio during the COVID-19 and the ongoing Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 55(PA).
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    160. Caporin, Massimiliano & Jimenez-Martin, Juan-Angel & Gonzalez-Serrano, Lydia, 2013. "Currency hedging strategies, strategic benchmarks and the Global and Euro Sovereign financial crises," MPRA Paper 50940, University Library of Munich, Germany, revised 23 Oct 2013.
    161. Donald Lien & Hsiang‐Tai Lee & Her‐Jiun Sheu, 2018. "Hedging systematic risk in the commodity market with a regime‐switching multivariate rotated generalized autoregressive conditional heteroskedasticity model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1514-1532, December.
    162. Su, Kuangxi & Yao, Yinhong & Zheng, Chengli & Xie, Wenzhao, 2023. "A novel hybrid strategy for crude oil future hedging based on the combination of three minimum-CVaR models," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 35-50.
    163. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    164. Ching-Chun Wei, 2016. "Modeling and Analyzing the Mean and Volatility Relationship between Electricity Price Returns and Fuel Market Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-55, July.
    165. Ping, Li & Ziyi, Zhang & Tianna, Yang & Qingchao, Zeng, 2018. "The relationship among China’s fuel oil spot, futures and stock markets," Finance Research Letters, Elsevier, vol. 24(C), pages 151-162.
    166. Vo, Xuan Vinh & Ellis, Craig, 2018. "International financial integration: Stock return linkages and volatility transmission between Vietnam and advanced countries," Emerging Markets Review, Elsevier, vol. 36(C), pages 19-27.
    167. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    168. Malin Song & Kuangnan Fang & Jing Zhang & Jianbin Wu, 2019. "The Co-movement Between Chinese Oil Market and Other Main International Oil Markets: A DCC-MGARCH Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(4), pages 1303-1318, December.
    169. Arfaoui Mongi & Haj Ali Dhouha, 2016. "Do Structural Breaks Affect Portfolio Designs and Hedging Strategies? International Evidence from Stock-Commodity Markets Linkages," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 252-270.
    170. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn," Econometric Institute Research Papers EI2016-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    171. Geng, Qianjie, 2025. "Is there a robust hedging method during the COVID-19 pandemic? Evidence from Chinese crude oil futures," Energy Economics, Elsevier, vol. 144(C).
    172. Arfaoui Mongi & Ben Rejeb Aymen, 2015. "Return Dynamics and Volatility Spillovers Between FOREX and Stock Markets in MENA Countries: What to Remember for Portfolio Choice?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 46(1), pages 72-100, June.
    173. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "Time-varying dependence dynamics between international commodity prices and Australian industry stock returns: a Perspective for portfolio diversification," Energy Economics, Elsevier, vol. 108(C).
    174. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & de Gracia, Fernando Perez, 2020. "Oil and asset classes implied volatilities: Investment strategies and hedging effectiveness," Energy Economics, Elsevier, vol. 91(C).
    175. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    176. Ahmed Jeribi & Mohamed Fakhfekh, 2021. "Portfolio management and dependence structure between cryptocurrencies and traditional assets: evidence from FIEGARCH-EVT-Copula," Journal of Asset Management, Palgrave Macmillan, vol. 22(3), pages 224-239, May.
    177. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    178. Sohag, Kazi & Shams, S.M. Riad & Gainetdinova, Anna & Nappo, Fabio, 2023. "Frequency connectedness and cross-quantile dependence among medicare, medicine prices and health-tech equity," Technovation, Elsevier, vol. 120(C).
    179. Mehmet Balcilar & Riza Demirer & Rangan Gupta, 2017. "Do Sustainable Stocks Offer Diversification Benefits for Conventional Portfolios? An Empirical Analysis of Risk Spillovers and Dynamic Correlations," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    180. Heidari, Hassan & Babaei Balderlou, Saharnaz, 2014. "بررسی تأثیر نااطمینانی قیمت نفت خام بر رشد بخش صنعت و معدن در ایران کاربردی از مدل‌های تبدیل مارکف [Investigation of the Effect of Crude Oil Price Uncertainty on the Growth of Industry and Mine Sector in Iran: An Application of Markov-Switching Mo," MPRA Paper 79228, University Library of Munich, Germany.
    181. Jian Yang & Yinggang Zhou, 2020. "Return and volatility transmission between China's and international crude oil futures markets: A first look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 860-884, June.
    182. Vollmer, Teresa & von Cramon-Taubadel, Stephan, . "The Optimal Wheat Futures Hedge at the Euronext Paris from a Farmer’s Perspective," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 69(01).
    183. Wen-Chung Hsu & Hsiang-Tai Lee, 2018. "Cross Hedging Stock Sector Risk with Index Futures by Considering the Global Equity Systematic Risk," IJFS, MDPI, vol. 6(2), pages 1-17, April.
    184. Hsiang‐Tai Lee, 2022. "A Markov regime‐switching Cholesky GARCH model for directly estimating the dynamic of optimal hedge ratio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 389-412, March.
    185. Ahmad, Wasim & Sadorsky, Perry & Sharma, Amit, 2018. "Optimal hedge ratios for clean energy equities," Economic Modelling, Elsevier, vol. 72(C), pages 278-295.
    186. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.
    187. Yan Hu & Jian Ni, 2024. "A deep learning‐based financial hedging approach for the effective management of commodity risks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 879-900, June.

  175. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Working Papers in Economics 10/36, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Klaus Wohlrabe, 2016. "Taking the Temperature: A Meta-Ranking of Economics Journals," CESifo Working Paper Series 5726, CESifo.
    4. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    5. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Vasilis Sarafidis & Tom Wansbeek, 2020. "Celebrating 40 Years of Panel Data Analysis: Past, Present and Future," Monash Econometrics and Business Statistics Working Papers 6/20, Monash University, Department of Econometrics and Business Statistics.
    7. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Les Oxley, 2016. "Elites and Secret Handshakes Versus Metrics and Rule-Based Acclamation: A Comment on "Measuring the Unmeasurable"," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 44-49, January.
    9. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 12/02, University of Canterbury, Department of Economics and Finance.
    10. Justus Haucap & Tobias Thomas & Klaus Wohlrabe, 2017. "Publication Performance vs. Influence: On the Questionable Value of Quality Weighted Publication Rankings," CESifo Working Paper Series 6818, CESifo.
    11. Michael McAleer & Chia-Lin Chang, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks:An Application to ISI Statistics & Probability," KIER Working Papers 819, Kyoto University, Institute of Economic Research.
    12. David L. Anderson & John Tressler, 2014. "Citation-Capture Rates by Economic Journals:Do they Differ from Other Disciplines and Does it Matter?," Working Papers in Economics 14/10, University of Waikato.
    13. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Chang, C-L. & McAleer, M.J. & Maasoumi, E., 2012. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Institute Research Papers EI 2012-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Chang, C-L. & McAleer, M.J., 2011. "Citations and Impact of ISI Tourism and Hospitality Journals," Econometric Institute Research Papers EI2011-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Chang, C-L. & McAleer, M.J., 2011. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environment and Resource Economics," Econometric Institute Research Papers EI 2011-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. McAleer, M.J., 2015. "Research Ideas for the Journal of Informatics and Data Mining: Opinion," Econometric Institute Research Papers EI2015-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Haucap, Justus & Muck, Johannes, 2013. "What drives the relevance and reputation of economics journals? An update from a survey among economists," DICE Discussion Papers 103, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    19. Chang, C-L. & McAleer, M.J. & Oxley, L., 2010. "What Makes a Great Journal Great in Economics? The Singer Not the Song," Econometric Institute Research Papers EI 2010-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Ernest Aigner & Matthias Aistleitner & Florentin Glotzl & Jakob Kapeller, 2018. "The Focus of Academic Economics: Before and After the Crisis," Working Papers Series 75, Institute for New Economic Thinking.
    22. Chang, C-L. & McAleer, M.J. & Oxley, L., 2011. "How are Journal Impact, Prestige and Article Influence Related? An Application to Neuroscience," Econometric Institute Research Papers EI 2011-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Chang, C-L. & McAleer, M.J. & Oxley, L., 2010. "How does Zinfluence Affect Article Influence?," Econometric Institute Research Papers EI 2010-50, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Chang, C-L. & McAleer, M.J. & Oxley, L., 2010. "What Makes a Great Journal Great in the Sciences? Which Came First, the Chicken or the Egg?," Econometric Institute Research Papers EI 2010-75, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Michael McAleer & Judit Olah & Jozsef Popp, 2018. "Pros and Cons of the Impact Factor in a Rapidly Changing Digital World," Tinbergen Institute Discussion Papers 18-014/III, Tinbergen Institute.
    26. Jan Polach & Jiri Kukacka, 2019. "Prospect Theory in the Heterogeneous Agent Model," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(1), pages 147-174, March.
    27. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    28. Bornmann, Lutz & Butz, Alexander & Wohlrabe, Klaus, 2017. "What are the Top Five Journals in Economics? A New Meta–ranking," MPRA Paper 79176, University Library of Munich, Germany.
    29. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  176. Chia-Lin Chang & Sung-Po Chen & Michael McAleer, 2010. "Globalization and Knowledge Spillover: International Direct Investment, Exports and Patents," Working Papers in Economics 10/54, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Rithi S. R & Abuzar Nomani & Mohsin Khan & Manoharan M, 2025. "Determinants influencing the flow of FDI in India: an empirical insight using panel data," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    2. Chia-Lin Chang & Michael McAleer & Ju-Ting Tang, 2018. "Joint and Cross-Border Patents as Proxies for International Technology Diffusion," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-29, April.
    3. Stek, Pieter E. & van Geenhuizen, Marina S., 2016. "The influence of international research interaction on national innovation performance: A bibliometric approach," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 61-70.
    4. Qiu, Yun & Zhou, Chao & Jiang, Chensheng & Tang, Biao & Li, Min, 2024. "M&As and the value chain of host countries in the “belt and road” — Based on path test of technological innovation," Technological Forecasting and Social Change, Elsevier, vol. 204(C).
    5. Razzaq, Asif & An, Hui & Delpachitra, Sarath, 2021. "Does technology gap increase FDI spillovers on productivity growth? Evidence from Chinese outward FDI in Belt and Road host countries," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    6. Zahra Zamani & Seyed Komail Tayebi, 2022. "Spillover effects of trade and foreign direct investment on economic growth: an implication for sustainable development," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3967-3981, March.
    7. Kong, Qunxi & Peng, Dan & Ruijia, Zhang & Wong, Zoey, 2021. "Resource misallocation, production efficiency and outward foreign direct investment decisions of Chinese enterprises," Research in International Business and Finance, Elsevier, vol. 55(C).
    8. Chia-Lin Chang & Michael McAleer & Ju-Ting Tang, 2013. "International Technology Diffusion of Joint and Cross-border Patents," Tinbergen Institute Discussion Papers 13-098/III, Tinbergen Institute.
    9. Paul J.J. Welfens & Tian Xiong, 2018. "The Effects of Foreign Direct Investment on Regional Innovation Capacity in China," EIIW Discussion paper disbei247, Universitätsbibliothek Wuppertal, University Library.
    10. Alvina Sabah Idrees & Saima Sarwar, 2023. "Spatial convergence clubs and innovation persistence: a country-group comparison of international spatial spillover of innovation capabilities," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4121-4152, October.
    11. Lööf, Hans & Perez, Luis & Baum, Christopher F, 2018. "Directed Technical Change in Clean Energy: Evidence from the Solar Industry," Working Paper Series in Economics and Institutions of Innovation 470, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    12. Jianmin Li & Farzan Yahya & Muhammad Waqas, 2025. "Exploring the nexus of globalization and natural resource scarcity in driving green technology innovation: Insights from advanced panel data techniques," Natural Resources Forum, Blackwell Publishing, vol. 49(2), pages 1965-1995, May.
    13. Nina Zhu & Qiuju Chen, 2025. "A Study on the Impact of Multinational Innovation on Export Diversification of Chinese Enterprises," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 15(3), pages 1-5.
    14. Lars Speckemeier & Dimitrios Tsivrikos, 2022. "Green Entrepreneurship: Should Legislators Invest in the Formation of Sustainable Hubs?," Sustainability, MDPI, vol. 14(12), pages 1-26, June.
    15. Xiaoyong Qiao & Xingyao Li & Xin Ling & Rui Xue & Claude Baron & Xiaoxuan Xin, 2023. "Value-Added Trade, Trade Barriers, and International Technology Spillover—Evidence from China’s Manufacturing Industry," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 13(2), pages 1-6.
    16. Aneta Bobeni? Hinto?ová & Michaela Bruothová, 2019. "A link between innovation performance and inward foreign direct investments: A case of Slovakia," Proceedings of International Academic Conferences 9812114, International Institute of Social and Economic Sciences.
    17. Xue Wang & Zongjun Wang & Maping Zhang, 2024. "Knowledge Workers, Innovation Linkages and Knowledge Absorption: An Interactive Mechanism Study," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 19460-19489, December.
    18. Abubakar, Yazid Abdullahi & Hand, Chris & Smallbone, David & Saridakis, George, 2019. "What specific modes of internationalization influence SME innovation in Sub-Saharan least developed countries (LDCs)?," Technovation, Elsevier, vol. 79(C), pages 56-70.
    19. Idris, Bochra & Saridakis, George & Khan, Zaheer, 2022. "The Effect of Outward and Inward Internationalisation on Different Types of Innovation: Evidence from UK SMEs," Journal of International Management, Elsevier, vol. 28(2).

  177. Hsiao-I Kuo & Chi-Chung Chen & Michael McAleer, 2010. "Estimating the Impact of Whaling on Global Whale Watching," Working Papers in Economics 10/30, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Paul, Prosenjit & Kar, T.K. & Ghorai, Abhijit, 2016. "Ecotourism and fishing in a common ground of two interacting species," Ecological Modelling, Elsevier, vol. 328(C), pages 1-13.

  178. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Working Papers 2012.23, Fondazione Eni Enrico Mattei.
    2. David C. Broadstock & George Filis, 2020. "The (time-varying) Importance of Oil Prices to U.S. Stock Returns: A Tale of Two Beauty-Contests," The Energy Journal, , vol. 41(6), pages 1-32, November.
    3. Areola Hernandez, Jose & Uddin, Gazi Salah & Dutta, Anupam & Ahmed, Ali & Kang, Sang Hoon, 2020. "Are ethanol markets globalized or regionalized?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    4. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    6. Lin, Xiaoqiang & Chen, Qiang & Tang, Zhenpeng, 2014. "Dynamic hedging strategy in incomplete market: Evidence from Shanghai fuel oil futures market," Economic Modelling, Elsevier, vol. 40(C), pages 81-90.
    7. Karali, Berna & Ramirez, Octavio A., 2014. "Macro determinants of volatility and volatility spillover in energy markets," Energy Economics, Elsevier, vol. 46(C), pages 413-421.
    8. Gong, Xu & Liu, Yun & Wang, Xiong, 2021. "Dynamic volatility spillovers across oil and natural gas futures markets based on a time-varying spillover method," International Review of Financial Analysis, Elsevier, vol. 76(C).
    9. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "The impact of oil price shocks on stock market activities: Asymmetric effect with quantile regression," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(9), pages 1910-1920.
    10. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    11. Evžen Kočenda & Michala Moravcová, 2024. "Frequency Volatility Connectedness and Portfolio Hedging of U.S. Energy Commodities," CESifo Working Paper Series 10889, CESifo.
    12. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2023. "Modelling and Forecasting Energy Market Cycles: A Generalized Smooth Transition Approach," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202318, University of Turin.
    13. Yudong Wang & Li Liu, 2016. "Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging," Empirical Economics, Springer, vol. 50(4), pages 1481-1509, June.
    14. Xu, Weiju & Ma, Feng & Chen, Wang & Zhang, Bing, 2019. "Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States," Energy Economics, Elsevier, vol. 80(C), pages 310-320.
    15. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Cui, Jinxin & Maghyereh, Aktham, 2023. "Time-frequency dependence and connectedness among global oil markets: Fresh evidence from higher-order moment perspective," Journal of Commodity Markets, Elsevier, vol. 30(C).
    17. Jäschke, Stefan, 2014. "Estimation of risk measures in energy portfolios using modern copula techniques," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 359-376.
    18. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    19. Li, Jingyu & Liu, Ranran & Yao, Yanzhen & Xie, Qiwei, 2022. "Time-frequency volatility spillovers across the international crude oil market and Chinese major energy futures markets: Evidence from COVID-19," Resources Policy, Elsevier, vol. 77(C).
    20. Ali, Sajid & Raza, Naveed & Vinh Vo, Xuan & Le, Van, 2022. "Modelling the joint dynamics of financial assets using MGARCH family models: Insights into hedging and diversification strategies," Resources Policy, Elsevier, vol. 78(C).
    21. Lu, Feng-bin & Hong, Yong-miao & Wang, Shou-yang & Lai, Kin-keung & Liu, John, 2014. "Time-varying Granger causality tests for applications in global crude oil markets," Energy Economics, Elsevier, vol. 42(C), pages 289-298.
    22. Emrah Ismail Cevik & Sel Dibooglu & Atif Awad Abdallah & Eisa Abdulrahman Al-Eisa, 2021. "Oil prices, stock market returns, and volatility spillovers: evidence from Saudi Arabia," International Economics and Economic Policy, Springer, vol. 18(1), pages 157-175, February.
    23. Bentes, Sonia R., 2018. "Is stock market volatility asymmetric? A multi-period analysis for five countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 258-265.
    24. Do, H. & Nepal, R. & Jamasb, T., 2020. "Electricity Market Integration, Decarbonisation and Security of Supply: Dynamic Volatility Connectedness in the Irish and Great Britain Markets," Cambridge Working Papers in Economics 2007, Faculty of Economics, University of Cambridge.
    25. Shen, Yifan & Shi, Xunpeng & Variam, Hari Malamakkavu Padinjare, 2018. "Risk transmission mechanism between energy markets: A VAR for VaR approach," Energy Economics, Elsevier, vol. 75(C), pages 377-388.
    26. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    27. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    28. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Chkili, Walid & Hammoudeh, Shawkat & Nguyen, Duc Khuong, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Energy Economics, Elsevier, vol. 41(C), pages 1-18.
    30. Meng, Fanyi & Liu, Li, 2019. "Analyzing the economic sources of oil price volatility: An out-of-sample perspective," Energy, Elsevier, vol. 177(C), pages 476-486.
    31. Jiasha Fu & Hui Qiao, 2022. "The Time-Varying Connectedness Between China’s Crude Oil Futures and International Oil Markets: A Return and Volatility Spillover Analysis," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 341-376, December.
    32. Syed jawad hussain Shahzad & Saba Ameer & Muhammad Shahbaz, 2016. "Disaggregating the correlation under bearish and bullish markets: A Quantile-quantile approach," Economics Bulletin, AccessEcon, vol. 36(4), pages 2465-2473.
    33. Jozef Baruník & Evžen KoÄ enda, 2019. "Total, Asymmetric and Frequency Connectedness between Oil and Forex Markets," The Energy Journal, , vol. 40(2_suppl), pages 157-174, December.
    34. Conrad, Christian & Weber, Enzo, 2013. "Measuring Persistence in Volatility Spillovers," Working Papers 0543, University of Heidelberg, Department of Economics.
    35. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    36. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.
    37. Yen-Hsien Lee & Ya-Ling Huang & Chun-Yu Wu, 2014. "Dynamic Correlations and Volatility Spillovers between Crude Oil and Stock Index Returns: The Implications for Optimal Portfolio Construction," International Journal of Energy Economics and Policy, Econjournals, vol. 4(3), pages 327-336.
    38. Soliman, Alaa M. & Nasir, Muhammad Ali, 2019. "Association between the energy and emission prices: An analysis of EU emission trading system," Resources Policy, Elsevier, vol. 61(C), pages 369-374.
    39. Chen, Yufeng & Xu, Jing & Hu, May, 2022. "Asymmetric volatility spillovers and dynamic correlations between crude oil price, exchange rate and gold price in BRICS," Resources Policy, Elsevier, vol. 78(C).
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    59. He, Kaijian & Wang, Lijun & Zou, Yingchao & Lai, Kin Keung, 2014. "Value at risk estimation with entropy-based wavelet analysis in exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 62-71.
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    61. Kumar, Satish & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Kang, Sang Hoon, 2019. "Correlations and volatility spillovers between oil, natural gas, and stock prices in India," Resources Policy, Elsevier, vol. 62(C), pages 282-291.
    62. Chkili, Walid, 2015. "Gold-oil prices co-movements and portfolio diversification implications," MPRA Paper 68110, University Library of Munich, Germany.
    63. Abid, Ilyes & Benkraiem, Ramzi & Mzoughi, Hela & Urom, Christian, 2024. "From black gold to financial fallout: Analyzing extreme risk spillovers in oil-exporting nations," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    64. Zhang, Dayong & Ji, Qiang & Kutan, Ali M., 2019. "Dynamic transmission mechanisms in global crude oil prices: Estimation and implications," Energy, Elsevier, vol. 175(C), pages 1181-1193.
    65. Apergis, Nicholas & Payne, James E., 2017. "Volatility Modeling of U.S. Metropolitan Retail Gasoline Prices: An Empirical Note," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 48(2), September.
    66. Chi Keung Lau & Alaa M. Soliman & Dongna Zhang, 2024. "Energy Price Inflation, Geopolitical Risk, and Bitcoin Dependence Structure: Evidence from BRICS," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 60(12), pages 2631-2645, September.
    67. Zhou, Xinmiao & Zhang, Junru & Zhang, Zhaoyong, 2021. "How does news flow affect cross-market volatility spillovers? Evidence from China’s stock index futures and spot markets," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 196-213.
    68. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2018. "Public information arrival, price discovery and dynamic correlations in the Chinese renminbi markets," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 168-186.
    69. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2014. "Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 354-366.
    70. An, Sufang & Gao, Xiangyun & An, Haizhong & An, Feng & Sun, Qingru & Liu, Siyao, 2020. "Windowed volatility spillover effects among crude oil prices," Energy, Elsevier, vol. 200(C).
    71. Marchese, Malvina & Kyriakou, Ioannis & Tamvakis, Michael & Di Iorio, Francesca, 2020. "Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models," Energy Economics, Elsevier, vol. 88(C).
    72. Ramesh, Shietal & Low, Rand Kwong Yew & Faff, Robert, 2025. "Modelling time-varying volatility spillovers across crises: Evidence from major commodity futures and the US stock market," Energy Economics, Elsevier, vol. 143(C).
    73. Cevik, Nuket Kirci & Cevik, Emrah I. & Dibooglu, Sel, 2020. "Oil prices, stock market returns and volatility spillovers: Evidence from Turkey," Journal of Policy Modeling, Elsevier, vol. 42(3), pages 597-614.
    74. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
    75. Jozef Barunk & Evzen KoÄ enda & Lukáš Váchaa, 2015. "Volatility Spillovers Across Petroleum Markets," The Energy Journal, , vol. 36(3), pages 309-330, July.
    76. Kunlapath Sukcharoen & Hankyeung Choi & David J. Leatham, 2015. "Optimal gasoline hedging strategies using futures contracts and exchange-traded funds," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3482-3498, July.
    77. Liu, Tangyong & Gong, Xu, 2020. "Analyzing time-varying volatility spillovers between the crude oil markets using a new method," Energy Economics, Elsevier, vol. 87(C).
    78. Ching-Chun Wei, 2016. "Modeling and Analyzing the Mean and Volatility Relationship between Electricity Price Returns and Fuel Market Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-55, July.
    79. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel & Hammoudeh, Shawkat, 2022. "The connectedness in the world petroleum futures markets using a Quantile VAR approach," Journal of Commodity Markets, Elsevier, vol. 27(C).
    80. I. Abid & R. Benkraiem & H. Mzoughi & C. Urom, 2024. "From black gold to financial fallout: Analyzing extreme risk spillovers in oil-exporting nations," Post-Print hal-04681726, HAL.
    81. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
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    83. Zhou, Wei & Gu, Qinen & Chen, Jin, 2021. "From volatility spillover to risk spread: An empirical study focuses on renewable energy markets," Renewable Energy, Elsevier, vol. 180(C), pages 329-342.
    84. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    85. Zhang, Li & Wang, Lu & Peng, Lijuan & Luo, Keyu, 2023. "Measuring the response of clean energy stock price volatility to extreme shocks," Renewable Energy, Elsevier, vol. 206(C), pages 1289-1300.
    86. Kamesh Anand K & Aswini Kumar Mishra, 2023. "Market Connectedness and Volatility Spillovers: A Meta-Literature Review," Commodities, MDPI, vol. 2(3), pages 1-19, June.
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    90. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.
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  179. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2010. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," Working Papers in Economics 10/27, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Ngene, Geoffrey & Post, Jordin A. & Mungai, Ann N., 2018. "Volatility and shock interactions and risk management implications: Evidence from the U.S. and frontier markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 181-198.
    2. Jorge V Pérez-Rodríguez & Juan M Hernández & Julián Andrada-Félix, 2024. "Modelling prices and volatilities in the sharing economy," Tourism Economics, , vol. 30(5), pages 1189-1215, August.
    3. Mohamed Fakhfekh & Ahmed Ghorbel & Nadhem Selmi & Nejib Hachicha, 2017. "Dependence between oil price volatility, Islamic and conventional Dow Jones indexes: Implication for portfolio management and hedging effectiveness," Journal of Asset Management, Palgrave Macmillan, vol. 18(1), pages 29-48, January.
    4. Arouri, Mohamed El Hedi & Jouini, Jamel & Nguyen, Duc Khuong, 2012. "On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness," Energy Economics, Elsevier, vol. 34(2), pages 611-617.
    5. Nguyen, Quang Hai, 2024. "Modeling the volatility of international air freight: A case study of Singapore using the SARIMAX-EGARCH model," Journal of Air Transport Management, Elsevier, vol. 117(C).
    6. Zhou Bo & Yang Bi & Li Hengyun & Qu Hailin, 2017. "The spillover effect of attractions," Tourism Economics, , vol. 23(4), pages 731-743, June.
    7. Agya Atabani Adi, 2017. "Returns Effect, Shocks and Volatility Transmission between Foreign Exchange-Stock Markets in Nigeria," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(1), pages 29-38, March.
    8. Chia-Lin Chang & Michael McAleer & Shu-Han Hsu, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Documentos de Trabajo del ICAE 2018-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    10. Jie Yin & Yahua Bi & Yingchao Ji, 2020. "Structure and Formation Mechanism of China-ASEAN Tourism Cooperation," Sustainability, MDPI, vol. 12(13), pages 1-19, July.
    11. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    12. Chhorn, Theara & Chaiboonsri, Chukiat, 2017. "Modelling and Forecasting Tourist Arrivals to Cambodia: An Application of ARIMA-GARCH Approach," MPRA Paper 83942, University Library of Munich, Germany, revised 27 Dec 2017.
    13. Manuela, Wilfred S. & de Vera, Manuel J., 2015. "The impact of government failure on tourism in the Philippines," Transport Policy, Elsevier, vol. 43(C), pages 11-22.
    14. Lin, Boqiang & Wesseh, Presley K. & Appiah, Michael Owusu, 2014. "Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness," Energy Economics, Elsevier, vol. 42(C), pages 172-182.
    15. Taotao Deng & Yukun Hu, 2019. "Modelling China’s outbound tourist flow to the ‘Silk Road’: A spatial econometric approach," Tourism Economics, , vol. 25(8), pages 1167-1181, December.
    16. Nguyen, Quang Hai, 2025. "The reciprocal impact between air passenger transport and international tourism in Singapore," Journal of Air Transport Management, Elsevier, vol. 129(C).
    17. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.

  180. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010. "Asymmetry and Long Memory in Volatility Modelling," Working Papers in Economics 10/60, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Gong, Xu & Lin, Boqiang, 2018. "The incremental information content of investor fear gauge for volatility forecasting in the crude oil futures market," Energy Economics, Elsevier, vol. 74(C), pages 370-386.
    2. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    3. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," Tinbergen Institute Discussion Papers 13-003/III, Tinbergen Institute.
    4. Shelton Peiris & Manabu Asai & Michael McAleer, 2016. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," Tinbergen Institute Discussion Papers 16-044/III, Tinbergen Institute.
    5. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    6. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    9. Manabu Asai & Michael McAleer, 2017. "Forecasting the volatility of Nikkei 225 futures," Documentos de Trabajo del ICAE 2017-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Yongdeng Xu, 2025. "The exponential HEAVY model: an improved approach to volatility modeling and forecasting," Review of Quantitative Finance and Accounting, Springer, vol. 65(2), pages 727-748, August.
    11. Li, Zhao-Chen & Xie, Chi & Wang, Gang-Jin & Zhu, You & Zeng, Zhi-Jian & Gong, Jue, 2024. "Forecasting global stock market volatilities: A shrinkage heterogeneous autoregressive (HAR) model with a large cross-market predictor set," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 673-711.
    12. Li, Zhao-Chen & Xie, Chi & Zeng, Zhi-Jian & Wang, Gang-Jin & Zhang, Ting, 2023. "Forecasting global stock market volatilities in an uncertain world," International Review of Financial Analysis, Elsevier, vol. 85(C).
    13. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François & Jayaraman, Sarath Kumar, 2025. "A general option pricing framework for affine fractionally integrated models," Journal of Banking & Finance, Elsevier, vol. 171(C).
    14. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Yang, Cai & Gong, Xu & Zhang, Hongwei, 2019. "Volatility forecasting of crude oil futures: The role of investor sentiment and leverage effect," Resources Policy, Elsevier, vol. 61(C), pages 548-563.
    16. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    17. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    18. Wei Zhang & Kai Yan & Dehua Shen, 2021. "Can the Baidu Index predict realized volatility in the Chinese stock market?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    19. Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
    20. Gong, Xu & Lin, Boqiang, 2017. "Forecasting the good and bad uncertainties of crude oil prices using a HAR framework," Energy Economics, Elsevier, vol. 67(C), pages 315-327.
    21. Asai, M. & McAleer, M.J. & Peiris, S., 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Econometric Institute Research Papers EI2017-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. Carl Lönnbark, 2016. "Asymmetry with respect to the memory in stock market volatilities," Empirical Economics, Springer, vol. 50(4), pages 1409-1419, June.
    23. Maki, Daiki, 2024. "Forecasting downside and upside realized volatility: The role of asymmetric information," The Journal of Economic Asymmetries, Elsevier, vol. 29(C).
    24. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    25. Jiqian Wang & Feng Ma & M.I.M. Wahab & Dengshi Huang, 2021. "Forecasting China's Crude Oil Futures Volatility: The Role of the Jump, Jumps Intensity, and Leverage Effect," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 921-941, August.
    26. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    27. Rangika Peiris & Minh-Ngoc Tran & Chao Wang & Richard Gerlach, 2024. "Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model," Papers 2408.13588, arXiv.org.
    28. Ning, Cathy & Xu, Dinghai & Wirjanto, Tony S., 2015. "Is volatility clustering of asset returns asymmetric?," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 62-76.
    29. Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023. "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, vol. 127(PB).
    30. Maki, Daiki & Ota, Yasushi, 2021. "Impacts of asymmetry on forecasting realized volatility in Japanese stock markets," Economic Modelling, Elsevier, vol. 101(C).
    31. Gribisch, Bastian & Hartkopf, Jan Patrick, 2023. "Modeling realized covariance measures with heterogeneous liquidity: A generalized matrix-variate Wishart state-space model," Journal of Econometrics, Elsevier, vol. 235(1), pages 43-64.
    32. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    33. Yaojie Zhang & Mengxi He & Danyan Wen & Yudong Wang, 2022. "Forecasting Bitcoin volatility: A new insight from the threshold regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 633-652, April.
    34. Ziggel, Daniel & Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2014. "A new set of improved Value-at-Risk backtests," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 29-41.
    35. Liang, Chao & Huynh, Luu Duc Toan & Li, Yan, 2023. "Market momentum amplifies market volatility risk: Evidence from China’s equity market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    36. Manh Cuong Dong & Cathy W. S. Chen & Manabu Asai, 2023. "Bayesian non‐linear quantile effects on modelling realized kernels," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 981-995, January.
    37. Wen, Fenghua & Gong, Xu & Cai, Shenghua, 2016. "Forecasting the volatility of crude oil futures using HAR-type models with structural breaks," Energy Economics, Elsevier, vol. 59(C), pages 400-413.
    38. Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
    39. Xu Gong & Boqiang Lin, 2022. "Predicting the volatility of crude oil futures: The roles of leverage effects and structural changes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 610-640, January.
    40. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    41. Abootaleb Shirvani & Stefan Mittnik & W. Brent Lindquist & Svetlozar T. Rachev, 2021. "Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes," Papers 2109.15051, arXiv.org, revised Aug 2023.
    42. Gong, Xu & Lin, Boqiang, 2018. "Structural changes and out-of-sample prediction of realized range-based variance in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 27-39.
    43. Daiki Maki & Yasushi Ota, 2020. "The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets," Papers 2006.00158, arXiv.org.
    44. Xie, Nan & Wang, Zongrun & Chen, Sicen & Gong, Xu, 2019. "Forecasting downside risk in China’s stock market based on high-frequency data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 530-541.
    45. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    46. Maki, Daiki, 2024. "Asymmetric effect of trading volume on realized volatility," International Review of Economics & Finance, Elsevier, vol. 94(C).
    47. Zanetti Chini, Emilio, 2025. "Judgment can spur long memory," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).

  181. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "What Makes a Great Journal Great in Economics? The Singer Not the Song," Working Papers in Economics 10/43, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 12/02, University of Canterbury, Department of Economics and Finance.
    6. Michael McAleer & Chia-Lin Chang, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks:An Application to ISI Statistics & Probability," KIER Working Papers 819, Kyoto University, Institute of Economic Research.
    7. David L. Anderson & John Tressler, 2017. "Researcher rank stability across alternative output measurement schemes in the context of a time limited research evaluation: the New Zealand case," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4542-4553, September.
    8. Rolf Sternberg, 2015. "The publication and citation behaviour of economic geographers and geographical economists compared," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 35(1), pages 1-27, February.
    9. Rolf Sternberg, 2013. "Collision of lions and butterflies or mutual neglect - outside the Anglo-American domain, too? The publication and citation behaviour of economic geographers and geographical economists compared," Working Papers on Innovation and Space 2013-13, Philipps University Marburg, Department of Geography.
    10. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Chang, C-L. & McAleer, M.J. & Maasoumi, E., 2012. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Institute Research Papers EI 2012-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Chang, C-L. & McAleer, M.J., 2011. "Citations and Impact of ISI Tourism and Hospitality Journals," Econometric Institute Research Papers EI2011-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Chang, C-L. & McAleer, M.J., 2011. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environment and Resource Economics," Econometric Institute Research Papers EI 2011-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. John Tressler & David L. Anderson, 2012. "Citations as a Measure of the Research Outputs of New Zealand's Economics Departments: The Problem of 'Long and Variable Lags'," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 19(1), pages 17-40.
    15. Haucap, Justus & Muck, Johannes, 2013. "What drives the relevance and reputation of economics journals? An update from a survey among economists," DICE Discussion Papers 103, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    16. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. David L. Anderson & John Tressler, 2011. "The Merits of Using Citations to Measure Research Output in Economics Departments: The New Zealand Case," Working Papers in Economics 11/11, University of Waikato.
    18. Stéphanie Combes & Pauline Givord, 2018. "Selective matching: gender gap and network formation in research," Working Papers 2018-07, Center for Research in Economics and Statistics.
    19. David L. Anderson & John Tressler, 2013. "The Relevance of the “h-” and “g-” Index to Economics in the Context of A Nation-Wide Research Evaluation Scheme: The New Zealand Case," Economic Papers, The Economic Society of Australia, vol. 32(1), pages 81-94, March.
    20. Wohlrabe, Klaus, 2016. "Taking the Temperature: A Meta-Ranking of Economics Journals," MPRA Paper 68933, University Library of Munich, Germany.
    21. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Documentos de Trabajo del ICAE 2011-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    22. Joseph Gerald Hirschberg & Jeanette Ngaire Lye, 2020. "Grading Journals In Economics: The Abcs Of The Abdc," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 876-921, September.
    23. John Gibson & David L. Anderson & John Tressler, 2012. "Which Journal Rankings Best Explain Academic Salaries? Evidence from the University of California," Working Papers in Economics 12/10, University of Waikato.
    24. David L. Anderson & John Tressler, 2015. "Are Researcher Rankings Stable Across Alternative Output Measurement Schemes in the Context of a Time Limited Research Evaluation? The New Zealand Case," Working Papers in Economics 15/10, University of Waikato.
    25. Bräuninger, Michael & Haucap, Justus & Muck, Johannes, 2011. "Was lesen und schätzen Ökonomen im Jahr 2011?," DICE Ordnungspolitische Perspektiven 18, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    26. Walters, William H., 2014. "Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?," Journal of Informetrics, Elsevier, vol. 8(2), pages 421-430.
    27. Bachir Kassas & Glory E. Orivri & Marco A. Palma & Octavio Ramirez, 2025. "Assessing research output quality in agricultural economics," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 47(1), pages 4-24, March.
    28. Michael Bräuninger & Justus Haucap & Johannes Muck, 2011. "Was lesen und schätzen deutschsprachige Ökonomen heute?," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 12(4), pages 339-371, November.
    29. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    30. Bornmann, Lutz & Butz, Alexander & Wohlrabe, Klaus, 2017. "What are the Top Five Journals in Economics? A New Meta–ranking," MPRA Paper 79176, University Library of Munich, Germany.
    31. Müller, Harry & Dilger, Alexander, 2013. "Der Einfluss des Forschungsschwerpunkts auf den Zitationserfolg: Eine empirische Untersuchung anhand der Gesamtpublikationen deutschsprachiger Hochschullehrer für BWL," Discussion Papers of the Institute for Organisational Economics 1/2013, University of Münster, Institute for Organisational Economics.
    32. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  182. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CARF F-Series CARF-F-201, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2013. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Tinbergen Institute Discussion Papers 13-036/III, Tinbergen Institute.
    2. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    3. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    4. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    5. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    6. Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    8. Broll, Udo & Wong, Wing-Keung & Wu, Mojia, 2013. "Banking Firm and Two-Moment Decision Making," MPRA Paper 51687, University Library of Munich, Germany.
    9. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    10. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Econometric Institute Research Papers EI 2013-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Hankyeung Choi & David J. Leatham & Kunlapath Sukcharoen, 2015. "Oil Price Forecasting Using Crack Spread Futures and Oil Exchange Traded Funds," Contemporary Economics, Vizja University, vol. 9(1), March.
    12. Qingfu Liu & Qian Luo & Yiuman Tse & Yuchi Xie, 2020. "The market quality of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1751-1766, November.
    13. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    14. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    15. Alaba, Oluwayemisi O. & Ojo, Oluwadare O. & Yaya, OlaOluwa S & Abu, Nurudeen & Ajobo, Saheed A., 2021. "Comparative Analysis of Market Efficiency and Volatility of Energy Prices Before and During COVID-19 Pandemic Periods," MPRA Paper 109825, University Library of Munich, Germany.
    16. Sina Aghaei & Amirreza Safari Langroudi & Masoud Fekri, 2018. "A Predictive Model for Oil Market under Uncertainty: Data-Driven System Dynamics Approach," Papers 1808.04150, arXiv.org.
    17. Alvarez-Ramirez, J. & Alvarez, J. & Rodríguez, E., 2015. "Asymmetric long-term autocorrelations in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 330-341.
    18. Chen, Pei-Fen & Lee, Chien-Chiang & Zeng, Jhih-Hong, 2014. "The relationship between spot and futures oil prices: Do structural breaks matter?," Energy Economics, Elsevier, vol. 43(C), pages 206-217.
    19. George P. Papaioannou & Christos Dikaiakos & Akylas C. Stratigakos & Panos C. Papageorgiou & Konstantinos F. Krommydas, 2019. "Testing the Efficiency of Electricity Markets Using a New Composite Measure Based on Nonlinear TS Tools," Energies, MDPI, vol. 12(4), pages 1-30, February.
    20. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    21. Nicolau, Mihaela & Palomba, Giulio, 2015. "Dynamic relationships between spot and futures prices. The case of energy and gold commodities," Resources Policy, Elsevier, vol. 45(C), pages 130-143.
    22. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    23. Clark, Ephraim & Qiao, Zhuo & Wong, Wing-Keung, 2017. "Theories of Risk: Testing Investor Behaviour on the Taiwan Stock and Stock Index Futures Markets," MPRA Paper 82888, University Library of Munich, Germany.
    24. Lubnau, Thorben & Todorova, Neda, 2015. "Trading on mean-reversion in energy futures markets," Energy Economics, Elsevier, vol. 51(C), pages 312-319.
    25. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.
    26. Qiao, Zhuo & Wong, Wing-Keung & Fung, Joseph K.W., 2013. "Stochastic dominance relationships between stock and stock index futures markets: International evidence," Economic Modelling, Elsevier, vol. 33(C), pages 552-559.
    27. Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.
    28. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    29. Alberto Fernández Muñoz de Morales, 2013. "Credit spread modeling effects on counterparty risk valuation adjustments: a spanish case study," Documentos de Trabajo del ICAE 2013-32, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    30. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Hammoudeh, Shawkat & Roubaud, David, 2019. "Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests," Energy Economics, Elsevier, vol. 78(C), pages 615-628.
    31. Plakandaras, Vasilios & Gupta, Rangan & Wong, Wing-Keung, 2019. "Point and density forecasts of oil returns: The role of geopolitical risks," Resources Policy, Elsevier, vol. 62(C), pages 580-587.
    32. Fathi Abid & Pui Lam Leung & Mourad Mroua & Wing Keung Wong, 2014. "International Diversification Versus Domestic Diversification: Mean-Variance Portfolio Optimization and Stochastic Dominance Approaches," JRFM, MDPI, vol. 7(2), pages 1-22, May.
    33. Miroslava Zavadska & Lucía Morales & Joseph Coughlan, 2018. "The Lead–Lag Relationship between Oil Futures and Spot Prices—A Literature Review," IJFS, MDPI, vol. 6(4), pages 1-22, October.
    34. Wang, Jianli & Qiu, Shushu & Yick, Ho Yin, 2022. "The influence of the Shanghai crude oil futures on the global and domestic oil markets," Energy, Elsevier, vol. 245(C).
    35. Joseph, Anto & Sisodia, Garima & Tiwari, Aviral Kumar, 2014. "A frequency domain causality investigation between futures and spot prices of Indian commodity markets," Economic Modelling, Elsevier, vol. 40(C), pages 250-258.
    36. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    37. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
    38. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    39. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    40. Hooi Lean & Kok Phoon & Wing-Keung Wong, 2013. "Stochastic dominance analysis of CTA funds," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 155-170, January.
    41. Mihaela NICOLAU & Giulio PALOMBA & Ilaria TRAINI, 2013. "Are Futures Prices Influenced by Spot;Prices or Vice-versa? An Analysis of Crude;Oil, Natural Gas and Gold Markets," Working Papers 394, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    42. Sensoy, Ahmet & Hacihasanoglu, Erk, 2014. "Time-varying long range dependence in energy futures markets," Energy Economics, Elsevier, vol. 46(C), pages 318-327.
    43. Muthucattu Thomas Paul, 2018. "The Issues and Implications About the Volatility of the Stock and the Bond Prices and Their Returns and the Volatility of Interest Rates and Inflation - Which Are Being Researched in Finance and Macro-Monetary Economics Literature: A Survey," Applied Economics and Finance, Redfame publishing, vol. 5(2), pages 125-142, March.
    44. Yang, Linghubo & Zhang, Dongxiang, 2013. "Can futures price be a powerful predictor? Frequency domain analysis on Chinese commodity market," Economic Modelling, Elsevier, vol. 35(C), pages 264-271.
    45. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    46. Zhang, Bing, 2013. "Are the crude oil markets becoming more efficient over time? New evidence from a generalized spectral test," Energy Economics, Elsevier, vol. 40(C), pages 875-881.
    47. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    48. Polanco Martínez, Josué M. & Abadie, Luis M. & Fernández-Macho, J., 2018. "A multi-resolution and multivariate analysis of the dynamic relationships between crude oil and petroleum-product prices," Applied Energy, Elsevier, vol. 228(C), pages 1550-1560.
    49. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015. "Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
    50. Jingliang Xiao & Robert D Brooks & Wing-Keung Wong, 2009. "Garch And Volume Effects In The Australian Stock Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-20.
    51. Lubnau, Thorben, 2014. "Spread trading strategies in the crude oil futures market," Discussion Papers 353, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    52. Chan, Chia-Ying & de Peretti, Christian & Qiao, Zhuo & Wong, Wing-Keung, 2012. "Empirical test of the efficiency of the UK covered warrants market: Stochastic dominance and likelihood ratio test approach," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 162-174.
    53. Liang Hu & Yoon‐Jin Lee, 2024. "New evidence on crude oil market efficiency," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 892-916, April.
    54. Zhang, Bing & Li, Xiao-Ming & He, Fei, 2014. "Testing the evolution of crude oil market efficiency: Data have the conn," Energy Policy, Elsevier, vol. 68(C), pages 39-52.
    55. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    56. Manuel Landajo & María José Presno & Paula Fernández González, 2021. "Stationarity in the Prices of Energy Commodities. A Nonparametric Approach," Energies, MDPI, vol. 14(11), pages 1-16, June.
    57. Bai, Zhidong & Phoon, Kok Fai & Wang, Keyan & Wong, Wing-Keung, 2013. "The performance of commodity trading advisors: A mean-variance-ratio test approach," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 188-201.
    58. Chang, Hao-Wen & Chiang, Yi-Chein & Ke, Mei-Chu & Wang, Ming-Hui & Nguyen, Tien-Trung, 2023. "Market efficiency of Asian stock markets during the financial crisis and non-financial crisis periods," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 312-329.
    59. Onder Buberkoku, 2017. "Examining Energy Futures Market Efficiency Under Multiple Regime Shifts," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 61-71.
    60. Eric S. Fung & Kin Lam & Tak-Kuen Siu & Wing-Keung Wong, 2011. "A Pseudo-Bayesian Model for Stock Returns In Financial Crises," JRFM, MDPI, vol. 4(1), pages 1-31, December.
    61. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  183. Chia-Lin Chang & Michael McAleer & Les Oxley, 2010. "Journal Impact Factor Versus Eigenfactor and Article Influence," Working Papers in Economics 10/67, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Checchi, Daniele & De Fraja, Gianni & Verzillo, Stefano, 2014. "Publish or Perish? Incentives and Careers in Italian Academia," CEPR Discussion Papers 10084, C.E.P.R. Discussion Papers.
    2. Daniele Checchi & Gianni De Fraja & Stefano Verzillo, 2014. "Publish or Perish: An Analysis of the Academic Job Market in Italy," Discussion Papers 14/04, University of Nottingham, School of Economics.
    3. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2015. "Ranking scientific journals via latent class models for polytomous item response data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 1025-1049, October.
    4. Francesco Bartolucci & Valentino Dardanoni & Franco Peracchi, 2013. "Ranking Scientific Journals via Latent Class Models for Polytomous Item Response," EIEF Working Papers Series 1313, Einaudi Institute for Economics and Finance (EIEF), revised May 2013.

  184. Shawkat Hammoudeh & Farooq Malik & Michael McAleer, 2010. "Risk Management of Precious Metals," Working Papers in Economics 10/37, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Demiralay, Sercan & Ulusoy, Veysel, 2014. "Value-at-risk Predictions of Precious Metals with Long Memory Volatility Models," MPRA Paper 53229, University Library of Munich, Germany.
    2. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    3. El Hedi Arouri, Mohamed & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "World gold prices and stock returns in China: Insights for hedging and diversification strategies," Economic Modelling, Elsevier, vol. 44(C), pages 273-282.
    4. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    5. Tripathi, Nitya Nand & Raj, Asha Binu & Tiwari, Aviral Kumar, 2022. "Do employees' salaries and board of director's remuneration impact gold demand?: An empirical study," Resources Policy, Elsevier, vol. 75(C).
    6. Belousova, Julia & Dorfleitner, Gregor, 2012. "On the diversification benefits of commodities from the perspective of euro investors," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2455-2472.
    7. Sadorsky, Perry, 2014. "Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat," Energy Economics, Elsevier, vol. 43(C), pages 72-81.
    8. Demiralay, Sercan & Ulusoy, Veysel, 2014. "Non-linear volatility dynamics and risk management of precious metals," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 183-202.
    9. Herrera, Rodrigo & Rodriguez, Alejandro & Pino, Gabriel, 2017. "Modeling and forecasting extreme commodity prices: A Markov-Switching based extreme value model," Energy Economics, Elsevier, vol. 63(C), pages 129-143.
    10. Mei-Ling Tang & Trung K. Do, 2019. "In search of robust methods for multi-currency portfolio construction by value at risk," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(1), pages 107-126, March.
    11. Sarafrazi, Soodabeh & Hammoudeh, Shawkat & AraújoSantos, Paulo, 2014. "Downside risk, portfolio diversification and the financial crisis in the euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 368-396.
    12. Rong Huang & Dimos Kambouroudis & David G. McMillan, 2025. "Is portfolio diversification still effective: evidence spanning three crises from the perspective of U.S. investors," Journal of Asset Management, Palgrave Macmillan, vol. 26(2), pages 115-135, March.
    13. Bogdan ZUGRAVU & Dumitru Cristian OANEA & Victoria Gabriela ANGHELACHE, 2013. "Analysis Based on the Risk Metrics Model," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 61(2), pages 145-154, May.
    14. Štefan Lyócsa & Peter Molnár, 2016. "Volatility forecasting of strategically linked commodity ETFs: gold-silver," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1809-1822, December.
    15. Kirkulak-Uludag, Berna & Lkhamazhapov, Zorikto, 2016. "The volatility dynamics of spot and futures gold prices: Evidence from Russia," Research in International Business and Finance, Elsevier, vol. 38(C), pages 474-484.
    16. Bekiros, Stelios & Boubaker, Sabri & Nguyen, Duc Khuong & Uddin, Gazi Salah, 2017. "Black swan events and safe havens: The role of gold in globally integrated emerging markets," Journal of International Money and Finance, Elsevier, vol. 73(PB), pages 317-334.
    17. Matthew Hood & Farooq Malik, 2013. "Is gold the best hedge and a safe haven under changing stock market volatility?," Review of Financial Economics, John Wiley & Sons, vol. 22(2), pages 47-52, April.
    18. Ruan, Qingsong & Huang, Ying & Jiang, Wei, 2016. "The exceedance and cross-correlations between the gold spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 463(C), pages 139-151.
    19. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    20. Nikhil Kaushik, 2018. "Do global oil price shocks affect Indian metal market?," Energy & Environment, , vol. 29(6), pages 891-904, September.
    21. Dominik Krezolek, 2012. "Non-Classical Measures of Investment Risk on the Market of Precious Non-Ferrous Metals Using the Methodology of Stable Distributions," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 89-104.
    22. Sheng‐Tun Li & Kuei‐Chen Chiu & Chien‐Chang Wu, 2023. "Apply big data analytics for forecasting the prices of precious metals futures to construct a hedging strategy for industrial material procurement," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 942-959, March.
    23. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen, 2013. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," Working Papers hal-00798033, HAL.
    24. Akhtaruzzaman, Md & Banerjee, Ameet Kumar & Le, Van & Moussa, Faten, 2024. "Hedging precious metals with impact investing," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 651-664.
    25. Antonakakis, Nikolaos & Kizys, Renatas, 2015. "Dynamic spillovers between commodity and currency markets," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 303-319.
    26. Salisu, Afees A. & Adediran, Idris, 2020. "Gold as a hedge against oil shocks: Evidence from new datasets for oil shocks," Resources Policy, Elsevier, vol. 66(C).
    27. Nicolau, Mihaela & Palomba, Giulio, 2015. "Dynamic relationships between spot and futures prices. The case of energy and gold commodities," Resources Policy, Elsevier, vol. 45(C), pages 130-143.
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    94. Yadav, Miklesh Prasad & Sharif, Taimur & Ashok, Shruti & Dhingra, Deepika & Abedin, Mohammad Zoynul, 2023. "Investigating volatility spillover of energy commodities in the context of the Chinese and European stock markets," Research in International Business and Finance, Elsevier, vol. 65(C).
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    98. Muhammad Kamran Khan & Jian‐Zhou Teng & Muhammad Imran Khan & Muhammad Fayaz Khan, 2023. "Stock market reaction to macroeconomic variables: An assessment with dynamic autoregressive distributed lag simulations," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2436-2448, July.
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    100. Ichraf Ben Flah & Kaies Samet & Anis El Ammari & Chokri Terzi, 2025. "Shock and Volatility Transmissions Across Global Commodity and Stock Markets Spillovers: Empirical Evidence from Africa," JRFM, MDPI, vol. 18(6), pages 1-17, June.
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    104. Abdul Aziz, Nor Syahilla & Vrontos, Spyridon & M. Hasim, Haslifah, 2019. "Evaluation of multivariate GARCH models in an optimal asset allocation framework," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 568-596.
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    106. Cadena-Silva, Javier Patricio & Sanz Lara, José Ángel & Rodríguez Fernández, José Miguel, 2025. "Stock market volatility and oil shocks: A study of G7 economies," International Review of Financial Analysis, Elsevier, vol. 103(C).
    107. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2014. "Spillovers between oil and stock markets at times of geopolitical unrest and economic turbulence," MPRA Paper 59760, University Library of Munich, Germany.
    108. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2014. "Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 354-366.
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    110. Kearney, Fearghal & Murphy, Finbarr & Cummins, Mark, 2015. "An analysis of implied volatility jump dynamics: Novel functional data representation in crude oil markets," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 199-216.
    111. Liu, Xueyong & An, Haizhong & Li, Huajiao & Chen, Zhihua & Feng, Sida & Wen, Shaobo, 2017. "Features of spillover networks in international financial markets: Evidence from the G20 countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 265-278.
    112. Sierra Lya Paola & Girón Luis Eduardo & Girón Victor & Girón Andrés, 2018. "What is the Spillover Effect of the U.S. Equity and Money Market on the Key Latin American Agricultural Exports?," Global Economy Journal, De Gruyter, vol. 18(4), pages 1-9, December.
    113. Shital Jhunjhunwala & Sandra Suresh, 2024. "Commodity and Stock Market Interlinkages: Opportunities and Challenges for Investors in Indian Market," Global Business Review, International Management Institute, vol. 25(2_suppl), pages 42-58, April.
    114. Majdoub, Jihed & Ben Sassi, Salim, 2017. "Volatility spillover and hedging effectiveness among China and emerging Asian Islamic equity indexes," Emerging Markets Review, Elsevier, vol. 31(C), pages 16-31.
    115. You, Wanhai & Guo, Yawei & Zhu, Huiming & Tang, Yong, 2017. "Oil price shocks, economic policy uncertainty and industry stock returns in China: Asymmetric effects with quantile regression," Energy Economics, Elsevier, vol. 68(C), pages 1-18.
    116. Zhang, Yue-Jun & Zhang, Lu, 2015. "Interpreting the crude oil price movements: Evidence from the Markov regime switching model," Applied Energy, Elsevier, vol. 143(C), pages 96-109.
    117. Xu, Qiuhua & Yan, Haoyang & Zhao, Tianyu, 2022. "Contagion effect of systemic risk among industry sectors in China’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    118. So, Mike K.P. & Wong, Jerry & Asai, Manabu, 2013. "Stress testing correlation matrices for risk management," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 310-322.
    119. Zhu, Hui-Ming & Li, ZhaoLai & You, WanHai & Zeng, Zhaofa, 2015. "Revisiting the asymmetric dynamic dependence of stock returns: Evidence from a quantile autoregression model," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 142-153.
    120. Coskun, Merve & Taspinar, Nigar, 2022. "Volatility spillovers between Turkish energy stocks and fossil fuel energy commodities based on time and frequency domain approaches," Resources Policy, Elsevier, vol. 79(C).
    121. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    122. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    123. Berna Aydoğan & Gökçe Tunç & Tezer Yelkenci, 2017. "The impact of oil price volatility on net-oil exporter and importer countries’ stock markets," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 231-253, August.
    124. Filippidis, Michail & Filis, George & Kizys, Renatas, 2020. "Oil price shocks and EMU sovereign yield spreads," Energy Economics, Elsevier, vol. 86(C).
    125. Wan, Xiaoli & Yan, Yuruo & Zeng, Zhixiong, 2020. "Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    126. Anissa Chaibi & Mathieu Gomes, 2013. "Volatility Spillovers Between Oil Prices and Stock Returns: A Focus on Frontier Markets," Working Papers 2013-34, Department of Research, Ipag Business School.
    127. Lucey, Brian & Ren, Boru, 2023. "Time-varying tail risk connectedness among sustainability-related products and fossil energy investments," Energy Economics, Elsevier, vol. 126(C).
    128. Selma Izadi & M. Kabir Hassan, 2018. "Portfolio and hedging effectiveness of financial assets of the G7 countries," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 8(2), pages 183-213, August.
    129. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2019. "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies’ stock returns," Energy, Elsevier, vol. 188(C).
    130. Imran Yousaf & Shoaib Ali & Muhammad Naveed & Ifraz Adeel, 2021. "Risk and Return Transmissions From Crude Oil to Latin American Stock Markets During the Crisis: Portfolio Implications," SAGE Open, , vol. 11(2), pages 21582440211, April.
    131. Badshah, Ihsan & Demirer, Riza & Suleman, Muhammad Tahir, 2019. "The effect of economic policy uncertainty on stock-commodity correlations and its implications on optimal hedging," Energy Economics, Elsevier, vol. 84(C).
    132. Chkir, Imed & Guesmi, Khaled & Brayek, Angham Ben & Naoui, Kamel, 2020. "Modelling the nonlinear relationship between oil prices, stock markets, and exchange rates in oil-exporting and oil-importing countries," Research in International Business and Finance, Elsevier, vol. 54(C).
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    134. Degiannakis, Stavros & Filis, George & Floros, Christos, 2013. "Oil and stock price returns: Evidence from European industrial sector indices in a time-varying environment," MPRA Paper 80495, University Library of Munich, Germany.
    135. Pan, Zhiyuan & Wang, Yudong & Liu, Li, 2016. "The relationships between petroleum and stock returns: An asymmetric dynamic equi-correlation approach," Energy Economics, Elsevier, vol. 56(C), pages 453-463.
    136. Borg, Elin & Kits, Ilya & Junttila, Juha & Uddin, Gazi Salah, 2022. "Dependence between renewable energy related critical metal futures and producer equity markets across varying market conditions," Renewable Energy, Elsevier, vol. 190(C), pages 879-892.
    137. Zhenhua Liu & Zhihua Ding & Rui Li & Xin Jiang & JyS. Wu & Tao Lv, 2017. "Research on differences of spillover effects between international crude oil price and stock markets in China and America," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(1), pages 575-590, August.
    138. Younis, Ijaz & Gupta, Himani & Du, Anna Min & Shah, Waheed Ullah & Hanif, Waqas, 2024. "Spillover dynamics in DeFi, G7 banks, and equity markets during global crises: A TVP-VAR analysis," Research in International Business and Finance, Elsevier, vol. 70(PB).
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    140. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Rehman, Mobeen Ur & Salman, Aneel, 2019. "Can alternative hedging assets add value to Islamic-conventional portfolio mix: Evidence from MGARCH models," Resources Policy, Elsevier, vol. 61(C), pages 210-230.
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  188. Ping-Yu Chen & Chia-Lin Chang & Chi-Chung Chen & Michael McAleer, 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Working Papers in Economics 10/55, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. da Silveira, Rodrigo Lanna F. & Mattos, Fabio L., 2015. "Price And Volatility Transmission In Livestock And Grain Markets: Examining The Effect Of Increasing Ethanol Production Across Countries," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205684, Agricultural and Applied Economics Association.
    2. Karel Janda & Ladislav Krištoufek, 2019. "The Relationship Between Fuel and Food Prices: Methods and Outcomes," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 195-216, October.
    3. Chen, Kuan-Ju & Marsh, Thomas L., "undated". "The Relationship between Biomaterial and Agricultural Commodity Markets," 2018 Annual Meeting, August 5-7, Washington, D.C. 274111, Agricultural and Applied Economics Association.
    4. Adämmer, Philipp & Bohl, Martin T., 2015. "Speculative bubbles in agricultural prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 55(C), pages 67-76.
    5. Eleni Zafeiriou & Garyfallos Arabatzis & Paraskevi Karanikola & Stilianos Tampakis & Stavros Tsiantikoudis, 2018. "Agricultural Commodities and Crude Oil Prices: An Empirical Investigation of Their Relationship," Sustainability, MDPI, vol. 10(4), pages 1-11, April.

  189. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer, 2010. "IV Estimation of a Panel Threshold Model of Tourism Specialization and Economic Development," Working Papers in Economics 10/13, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Rainer Andergassen & Guido Candela & Paolo Figini, 2017. "The management of tourism destinations," Tourism Economics, , vol. 23(1), pages 49-65, February.
    2. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    3. Taotao Deng & Mulan Ma & Shuai Shao, 2014. "Research Note: Has International Tourism Promoted Economic Growth in China? A Panel Threshold Regression Approach," Tourism Economics, , vol. 20(4), pages 911-917, August.
    4. Juan Gabriel Brida & Bibiana Lanzilotta & Fiorella Pizzolon, 2016. "Dynamic relationship between tourism and economic growth in MERCOSUR countries: a nonlinear approach based on asymmetric time series models," Economics Bulletin, AccessEcon, vol. 36(2), pages 879-894.
    5. Fang Wang & Ming-Hua Tian & Zhong-Hua Yin, 2021. "Modern urbanization and industrial upgrading in China: evidence from panel data," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(2), pages 661-681, April.
    6. Mulan Ma & Weishu Zhao & Guanxu Wan & Taotao Deng & Yi Yang, 2023. "Specialization versus diversity: The role of city size in tourist cities," Tourism Economics, , vol. 29(8), pages 2081-2102, December.
    7. Balsalobre-Lorente, Daniel & Driha, Oana M. & Sinha, Avik, 2020. "The dynamic effects of globalization process in analysing N-shaped tourism led growth hypothesis," MPRA Paper 100078, University Library of Munich, Germany.
    8. Isabel P. Albaladejo & Juan Gabriel Brida & María Isabel González‐Martínez & Verónica Segarra, 2023. "A new look to the tourism and economic growth nexus: A clustering and panel causality analysis," The World Economy, Wiley Blackwell, vol. 46(9), pages 2835-2856, September.
    9. Ronald Kumar, 2014. "Exploring the nexus between tourism, remittances and growth in Kenya," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1573-1588, May.
    10. Andrew Phiri, 2016. "Tourism and Economic Growth in South Africa: Evidence from Linear and Nonlinear Cointegration Frameworks," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(1 (Spring), pages 31-53.
    11. Andrey Aistov & Tatiana Nikolaeva, 2019. "Tourism-led growth hypothesis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 5-24.
    12. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    13. Bernini, Cristina & Galli, Federica, 2023. "Innovation, productivity and spillover effects in the Italian accommodation industry," Economic Modelling, Elsevier, vol. 119(C).
    14. Antonakakis, Nikolaos & Dragouni, Mina & Eeckels, Bruno & Filis, George, 2016. "Tourism and economic growth: Does democracy matter?," Annals of Tourism Research, Elsevier, vol. 61(C), pages 258-264.
    15. Mahalia Jackman, 2014. "Output Volatility and Tourism Specialization in Small Island Developing States," Tourism Economics, , vol. 20(3), pages 527-544, June.
    16. Muhammad Shahbaz & Ronald Ravinesh Kumar & Stanislav Ivanov & Nanthakumar Loganathan, 2017. "The nexus between tourism demand and output per capita with the relative importance of trade openness and financial development," Tourism Economics, , vol. 23(1), pages 168-186, February.
    17. Taha Chaiechi & Josephine Pryce & Abhishek Bhati, 2015. "Research Note: Macroeconomic Impacts of the Tourism Industry and the Contemporaneous Feedback Effect — An Australian Case Study," Tourism Economics, , vol. 21(3), pages 685-696, June.
    18. Fuwei Wang & Lei Du & Minghua Tian & Yi Liu & Yichi Zhang, 2023. "Sustainability of rural tourism in poverty reduction: Evidence from panel data of 15 underdeveloped counties in Anhui Province, China," PLOS ONE, Public Library of Science, vol. 18(3), pages 1-17, March.
    19. Liang Zhu & Lingxue Zhan & Shaobo (Kevin) Li, 2021. "Is sustainable development reasonable for tourism destinations? An empirical study of the relationship between environmental competitiveness and tourism growth," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 66-78, January.
    20. Ramzi Nekhili & Saad Darwish & Marwan Mohamed Abdeldayem, 2019. "Impact of Education Tourism on Bahrain¡¯s Economic Growth: A Perspective," International Journal of Learning and Development, Macrothink Institute, vol. 9(2), pages 116-133, June.
    21. Jun Zhang & Li Cheng, 2019. "Threshold Effect of Tourism Development on Economic Growth Following a Disaster Shock: Evidence from the Wenchuan Earthquake, P.R. China," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    22. Victor Moutinho, 2015. "Is there Convergence and Causality between the Drivers of Energy-Related Carbon Dioxide Emissions among the Portuguese Tourism Industry?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 828-840.
    23. Ronald Kumar & Nanthakumar Loganathan & Arvind Patel & Radika Kumar, 2015. "Nexus between tourism earnings and economic growth: a study of Malaysia," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1101-1120, May.
    24. Ronald Kumar, 2014. "Exploring the role of technology, tourism and financial development: an empirical study of Vietnam," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2881-2898, September.
    25. David Perrain & Philippe Jean-Pierre, 2019. "The smart destination strategy, a key factor for changes in vulnerable tourist destinations? [La stratégie de destination intelligente, facteur clé des mutations des destinations touristiques vulnérables ?]," Post-Print hal-02144769, HAL.
    26. Shahbaz, Muhammad & Kumar, Ronald Ravinesh & Ivanov, Stanislav & Loganathan, Nanthakumar, 2015. "Nexus between Tourism demand and output per capita with relative importance of trade and financial development: A study of Malaysia," MPRA Paper 67226, University Library of Munich, Germany, revised 11 Oct 2015.
    27. Abdulkarim K. Alhowaish, 2016. "Is Tourism Development a Sustainable Economic Growth Strategy in the Long Run? Evidence from GCC Countries," Sustainability, MDPI, vol. 8(7), pages 1-10, June.
    28. Roberto Balado-Naves & David Boto-García & José Francisco Baños-Pino, 2024. "A multisector growth model for testing the Tourism-Led Growth versus the Beach Disease hypotheses," Efficiency Series Papers 2024/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    29. Darko B. Vuković & Moinak Maiti & Marko D. Petrović, 2023. "Tourism Employment and Economic Growth: Dynamic Panel Threshold Analysis," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    30. Geng-Nan Chiang & Wei-Ying Sung & Wen-Guu Lei, 2017. "Regime-Switching Effect of Tourism Specialization on Economic Growth in Asia Pacific Countries," Economies, MDPI, vol. 5(3), pages 1-14, June.
    31. Célia M.Q. Ramos & Paulo M.M. Rodrigues, 2013. "Research Note: The Importance of Online Tourism Demand," Tourism Economics, , vol. 19(6), pages 1443-1447, December.
    32. Salah Eddine Sari Hassoun & Khayereddine Salim Adda & Asma Hadjira Sebbane, 2021. "Examining the connection among national tourism expenditure and economic growth in Algeria," Future Business Journal, Springer, vol. 7(1), pages 1-9, December.
    33. Herman Sahni & Christian Nsiah & Bichaka Fayissa, 2021. "The African economic growth experience and tourism receipts: A threshold analysis and quantile regression approach," Tourism Economics, , vol. 27(5), pages 915-932, August.
    34. Dogan, Ergun & Zhang, Xibin, 2023. "A nonparametric panel data model for examining the contribution of tourism to economic growth," Economic Modelling, Elsevier, vol. 128(C).
    35. Paravee Maneejuk & Woraphon Yamaka & Wilawan Srichaikul, 2022. "Tourism Development and Economic Growth in Southeast Asian Countries under the Presence of Structural Break: Panel Kink with GME Estimator," Mathematics, MDPI, vol. 10(5), pages 1-17, February.
    36. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Nikeel Kumar & Syed Jawad Hussain Shahzad, 2019. "Exploring the effect of ICT and tourism on economic growth: a study of Israel," Economic Change and Restructuring, Springer, vol. 52(3), pages 221-254, August.
    37. Wu, Po-Chin & Liu, Shiao-Yen & Hsiao, Juei-Ming & Huang, Tsai-Yuan, 2016. "Nonlinear and time-varying growth-tourism causality," Annals of Tourism Research, Elsevier, vol. 59(C), pages 45-59.
    38. Abdulahi, Mohamued Elyas & Shu, Yang & Khan, Muhammad Asif, 2019. "Resource rents, economic growth, and the role of institutional quality: A panel threshold analysis," Resources Policy, Elsevier, vol. 61(C), pages 293-303.
    39. Antonakakis, Nikos & Dragouni, Mina & Eeckels, Bruno & Filis, George, 2015. "Tourism and economic growth revisited: Empirical evidence from a Panel VAR approach," MPRA Paper 67419, University Library of Munich, Germany.
    40. Ngozi Helen Oguchi & Fen Luo, 2021. "Estimating the Nexus of Tourism on Sustainable Development Goals in Nigeria," Technium Social Sciences Journal, Technium Science, vol. 20(1), pages 751-771, June.

  190. Kiyotaka Sato & Zhaoyong Zhang & Michael McAleer, 2010. "Identifying Shocks in Regionally Integrated East Asian Economies with Structural VAR and Block Exogeneity," Working Papers in Economics 10/23, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Dungey, Mardi & Vehbi, Tugrul & Martin, Charlton, 2014. "VAR modelling in the presence of China’s rise : an application to the Taiwanese economy," Working Papers 2014-09, University of Tasmania, Tasmanian School of Business and Economics.
    2. Jean-Baptiste Gossé & Cyriac Guillaumin, 2011. "The impact of external shocks on the eurozone: a structural VAR model," Working Papers hal-00610024, HAL.
    3. Osborn, Denise R. & Vehbi, Tugrul, 2015. "Growth in China and the US: Effects on a small commodity exporter economy," Economic Modelling, Elsevier, vol. 45(C), pages 268-277.
    4. Jean-Baptiste Gossé & Cyriac Guillaumin, 2013. "L’apport de la représentation VAR de Christopher A. Sims à la science économique," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(4), pages 309-319.
    5. Hideaki Hirata & M. Ayhan Kose & Christopher Otrok, 2013. "Regionalization vs. globalization," Working Papers 2013-002, Federal Reserve Bank of St. Louis.
    6. Vu, Tuan Khai & Nakata, Hayato, 2014. "The Macroeconomic Effects of Oil Price Fluctuations in ASEAN Countries: Analysis Using a VAR with Block Exogeneity," Discussion Paper Series 619, Institute of Economic Research, Hitotsubashi University.
    7. Jarko Fidrmuc & Iikka Korhonen, 2015. "Meta-Analysis of Chinese Business Cycle Correlation," Working Papers 062015, Hong Kong Institute for Monetary Research.
    8. Drama Bedi Guy Herve, 2017. "Estimation of the Impact of Monetary Policy on Economic Growth: The Case of Cote d Ivoire in Line with SVAR Methodology," Applied Economics and Finance, Redfame publishing, vol. 4(4), pages 66-83, July.
    9. Cyriac Guillaumin & Jean-Baptiste Gossé, 2012. "Can external shocks explain the Asian side of global imbalances ? Lessons from a structural VAR model with block exogeneity," Post-Print halshs-00706743, HAL.
    10. Kawasaki, Kentaro & Sato, Kiyotaka, 2021. "A new assessment of economic integration in East Asia: Application of an industry-specific G-PPP model," Japan and the World Economy, Elsevier, vol. 60(C).
    11. Jean-Baptiste Gossé & Cyriac Guillaumin, 2010. "L'impact des chocs externes sur et dans la zone euro : un modèle VAR structurel," Working Papers hal-00493384, HAL.
    12. Lance A. Fisher & Hyeon‐seung Huh & David Kim, 2020. "Growth Shocks in the United States and China: Effects on Australia's Growth," Economic Papers, The Economic Society of Australia, vol. 39(3), pages 185-203, September.
    13. Jean-Pierre Allegret & Cécile Couharde & Cyriac Guillaumin, 2012. "The Impact of External Shocks in East Asia: Lessons from a Structural VAR Model with Block Exogeneity," Post-Print hal-01385863, HAL.
    14. Anuar Sanusi & Faurani Santi Singagerda & Ahmad Zaharuddin Sani, 2021. "World Oil Price Shocks in Macroeconomic ASEAN +3 Countries: Measurement of Risk Management and Decision-making a Linear Dynamic Panel Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 75-83.
    15. Giscard Assoumou Ella, 2012. "Responses of African economies to the international economic shocks: an empirical study," Working Papers hal-00721633, HAL.
    16. Huang, Jianbai & Dong, Xuesong & Zhang, Hongwei & Liu, Jia & Gao, Wang, 2022. "Dynamic and frequency-domain spillover among within and cross-country policy uncertainty, crude oil and gold market: Evidence from US and China," Resources Policy, Elsevier, vol. 78(C).
    17. Giscard Assoumou Ella, 2013. "The viability of an economic and monetary union in Africa with a unified currency: evidence from the African economies' reactions to the international income, price and monetary shocks," Working Papers hal-00851594, HAL.
    18. Dungey, Mardi & Vehbi, Tugrul, 2015. "The influences of international output shocks from the US and China on ASEAN economies," Journal of Asian Economics, Elsevier, vol. 39(C), pages 59-71.
    19. Catherine Figuière & Laëtitia Guilhot & Cyriac Guillaumin, 2013. "La question du régime de change en Asie de l'Est : vers un bloc monétaire régional ?," Post-Print halshs-00828873, HAL.
    20. Oladunni, Sunday, 2019. "External Shocks and Business Cycle Fluctuations in Oil-exporting Small Open Economies: The Case of Nigeria," MPRA Paper 98639, University Library of Munich, Germany.
    21. Ong, Sheue Li & Sato, Kiyotaka, 2018. "Regional or global shock? A global VAR analysis of Asian economic and financial integration," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 232-248.
    22. Mala Raghavan & Evelyn S. Devadason, 2020. "How Resilient Is ASEAN-5 to Trade Shocks? A Comparison of Regional and Global Shocks," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 12(1), pages 93-115, January.
    23. Alberto Coco & Andrea Silvestrini, 2017. "The nature and propagation of shocks in the euro area: a comparative SVAR analysis," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 95-114.
    24. Nassirou, Aïchat, 2017. "Chocs macroéconomiques et intégration d’une union économique et monétaire: cas du Nigéria [Macroeconomic shocks and integration of an economic and monetary union: case of Nigeria]," MPRA Paper 79167, University Library of Munich, Germany.
    25. Guimbard, Houssein & Le Goff, Maëlan, 2014. "Mega Deals: What Consequences for sub-Saharan Africa?," Conference papers 332514, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    26. Raghavan, Mala & Devadason, Evelyn S, 2019. "How resilient is ASEAN-5 to trade shocks? Regional and global shocks compared," Working Papers 2019-04, University of Tasmania, Tasmanian School of Business and Economics.
    27. Robert Tumanyan, 2018. "Similarities of External Shock¡¯s responses of Armenia and Russia: SVAR Approach," Business and Economic Research, Macrothink Institute, vol. 8(1), pages 198-211, March.
    28. Denise R Osborn & Tugrul Vehbi, 2013. "Empirical Evidence on Growth Spillovers from China to New Zealand," Treasury Working Paper Series 13/17, New Zealand Treasury.
    29. Jamshaid Ur Rehman & Muhammad Nadeem Javaid & Nisar Ahmad, 2025. "Prospects for connectivity and integration between Pakistan and ASEAN + 3 + 3 countries through the lens of optimal currency area theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(3), pages 2825-2859, June.
    30. Simohammed, Kamel & Benhabib, Abderrezzak & Maliki, Samir, 2015. "The Impact of Oil Prices on Macroeconomic Fundamentals, Monetary Policy and Stock Market for eight Middle East and North African Countries," MPRA Paper 75278, University Library of Munich, Germany.
    31. Giscard Assoumou Ella, 2013. "Impact of international income, prices and monetary shocks on real exchange rate in eight African economies: An empirical study," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 2(3), pages 41-54, September.
    32. Zhang, Dayong & Lei, Lei & Ji, Qiang & Kutan, Ali M., 2019. "Economic policy uncertainty in the US and China and their impact on the global markets," Economic Modelling, Elsevier, vol. 79(C), pages 47-56.
    33. Vu, Tuan Khai & Nakata, Hayato, 2018. "Oil price fluctuations and the small open economies of Southeast Asia: An analysis using vector autoregression with block exogeneity," Journal of Asian Economics, Elsevier, vol. 54(C), pages 1-21.

  191. Michael McAleer & Marcelo C. Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Univariate Models," Working Papers in Economics 10/28, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Goswami, Samrat & Gupta, Rangan & Wohar, Mark E., 2020. "Historical volatility of advanced equity markets: The role of local and global crises," Finance Research Letters, Elsevier, vol. 34(C).
    2. Manabu Asai & Michael McAleer, 2017. "Forecasting the volatility of Nikkei 225 futures," Documentos de Trabajo del ICAE 2017-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Amin Aminimehr & Ali Raoofi & Akbar Aminimehr & Amirhossein Aminimehr, 2022. "A Comprehensive Study of Market Prediction from Efficient Market Hypothesis up to Late Intelligent Market Prediction Approaches," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 781-815, August.
    4. Villalba-Padilla, Fátima Irina & Flores-Ortega, Miguel, 2012. "Capacidad de predicción de los modelos GARCH simétricos aplicados a variables financieras de México 2001-2011," eseconomía, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(34), pages 81-124, segundo t.
    5. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    6. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2023. "Machine learning advances for time series forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 76-111, February.
    7. Tapia, Sebastian & Kristjanpoller, Werner, 2022. "Framework based on multiplicative error and residual analysis to forecast bitcoin intraday-volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    8. Jorge V. Pérez-Rodríguez, 2020. "Another look at the implied and realised volatility relation: a copula-based approach," Risk Management, Palgrave Macmillan, vol. 22(1), pages 38-64, March.
    9. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    10. Milan Fičura, 2017. "Forecasting Stock Market Realized Variance with Echo State Neural Networks," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2017(3), pages 145-155.
    11. Martin Magris, 2019. "A Vine-copula extension for the HAR model," Papers 1907.08522, arXiv.org.
    12. Luo, Qin & Bu, Jinfeng & Xu, Weiju & Huang, Dengshi, 2023. "Stock market volatility prediction: Evidence from a new bagging model," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 445-456.

  192. Michael McAleer & Les Oxley, 2010. "Ten Things We Should Know About Time Series," Working Papers in Economics 10/42, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Jean-David Fermanian & Hassan Malongo, 2013. "On the Stationarity of Dynamic Conditional Correlation Models," Working Papers 2013-26, Center for Research in Economics and Statistics.
    2. McAleer, M.J., 2014. "Discussion of “Principal Volatility Component Analysis” by Yu-Pin Hu and Ruey Tsay," Econometric Institute Research Papers EI 2014-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  193. Chia-Lin Chang & Philip Hans Franses & Michael McAleer & Les Oxley, 2010. "What Makes a Great Journal Great in the Sciences? Which Came First, the Chicken or the Egg?," Working Papers in Economics 10/75, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2014. "Just How Good are the Top Three Journals in Finance? An Assessment Based on Quantity and Quality Citations," Econometric Institute Research Papers EI2014-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Les Oxley, 2013. "Coercive Journal Self Citations, Impact Factor, Journal Influence and Article Influence," KIER Working Papers 852, Kyoto University, Institute of Economic Research.
    3. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & McAleer, M.J. & Oxley, L., 2012. "Journal Impact Factor, Eigenfactor, Journal Influence and Article Influence," Econometric Institute Research Papers EI 2012-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang, C-L. & McAleer, M.J., 2015. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences, with an Application to Finance and Accounting," Econometric Institute Research Papers EI 2015-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 12/02, University of Canterbury, Department of Economics and Finance.
    7. Michael McAleer & Chia-Lin Chang, 2012. "Ranking Journal Quality by Harmonic Mean of Ranks:An Application to ISI Statistics & Probability," KIER Working Papers 819, Kyoto University, Institute of Economic Research.
    8. David L. Anderson & John Tressler, 2017. "Researcher rank stability across alternative output measurement schemes in the context of a time limited research evaluation: the New Zealand case," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4542-4553, September.
    9. Chang, C-L. & McAleer, M.J., 2014. "Quality Weighted Citations Versus Total Citations in the Sciences and Social Sciences," Econometric Institute Research Papers 50641, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Chang, C-L. & McAleer, M.J., 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometric Institute Research Papers EI 2013-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Chang, C-L. & McAleer, M.J. & Maasoumi, E., 2012. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Institute Research Papers EI 2012-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Chang, C-L. & McAleer, M.J., 2011. "Citations and Impact of ISI Tourism and Hospitality Journals," Econometric Institute Research Papers EI2011-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Chang, C-L. & McAleer, M.J., 2011. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environment and Resource Economics," Econometric Institute Research Papers EI 2011-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. McAleer, M.J., 2015. "Research Ideas for the Journal of Informatics and Data Mining: Opinion," Econometric Institute Research Papers EI2015-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Haucap, Justus & Muck, Johannes, 2013. "What drives the relevance and reputation of economics journals? An update from a survey among economists," DICE Discussion Papers 103, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    16. Fabio Zagonari, 2019. "Scientific Production and Productivity for Characterizing an Author’s Publication History: Simple and Nested Gini’s and Hirsch’s Indexes Combined," Publications, MDPI, vol. 7(2), pages 1-30, May.
    17. Chang, C-L. & McAleer, M.J., 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Econometric Institute Research Papers EI 2014-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.
    19. Joseph Gerald Hirschberg & Jeanette Ngaire Lye, 2020. "Grading Journals In Economics: The Abcs Of The Abdc," Journal of Economic Surveys, Wiley Blackwell, vol. 34(4), pages 876-921, September.
    20. Walters, William H., 2014. "Do Article Influence scores overestimate the citation impact of social science journals in subfields that are related to higher-impact natural science disciplines?," Journal of Informetrics, Elsevier, vol. 8(2), pages 421-430.
    21. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals based on the Thomson Reuters Citations Database," Tinbergen Institute Discussion Papers 15-044/III, Tinbergen Institute.
    22. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  194. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," Working Papers in Economics 10/34, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Yaya, OlaOluwa & Ogbonna, Ahamuefula, 2018. "Modelling crude oil-petroleum products’ price nexus using dynamic conditional correlation GARCH models," MPRA Paper 91227, University Library of Munich, Germany.
    2. Massimiliano Caporin & Paolo Paruolo, 2015. "Proximity-Structured Multivariate Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 559-593, May.
    3. Zolfaghari, Mehdi, 2023. "How does US tariff policy affect the relationship among crude oil, the US dollar and metal markets?," Resources Policy, Elsevier, vol. 85(PB).
    4. ROMBOUTS, Jeroen V. K. & STENTOFT, Lars & VIOLANTE, Francesco, 2012. "The value of multivariate model sophistication: an application to pricing Dow Jones Industrial Average options," LIDAM Discussion Papers CORE 2012003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2013. "On the Benefits of Equicorrelation for Portfolio Allocation," NCER Working Paper Series 99, National Centre for Econometric Research.
    6. Becker, R. & Clements, A.E. & Doolan, M.B. & Hurn, A.S., 2015. "Selecting volatility forecasting models for portfolio allocation purposes," International Journal of Forecasting, Elsevier, vol. 31(3), pages 849-861.
    7. Sébastien Laurent & Jeroen V. K. Rombouts & Francesco Violante, 2012. "On the forecasting accuracy of multivariate GARCH models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 934-955, September.
    8. Fresoli, Diego Eduardo & Ruiz Ortega, Esther, 2014. "The uncertainty of conditional returns, volatilities and correlations in DCC models," DES - Working Papers. Statistics and Econometrics. WS ws140202, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Ralf Becker & Adam Clements & Robert O'Neill, 2018. "A Multivariate Kernel Approach to Forecasting the Variance Covariance of Stock Market Returns," Econometrics, MDPI, vol. 6(1), pages 1-27, February.
    10. Alireza Saranj & Mehdi Zolfaghari, 2025. "Trading behavior-stock market volatility nexus among institutional and individual investors," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-50, December.
    11. Adam E Clements & Mark Doolan & Stan Hurn & Ralf Becker, 2012. "Selecting forecasting models for portfolio allocation," NCER Working Paper Series 85, National Centre for Econometric Research.
    12. Salisu, Afees A. & Oloko, Tirimisiyu F., 2015. "Modeling oil price–US stock nexus: A VARMA–BEKK–AGARCH approach," Energy Economics, Elsevier, vol. 50(C), pages 1-12.
    13. Benjamin Poignard & Jean-Davis Fermanian, 2014. "Dynamic Asset Correlations Based on Vines," Working Papers 2014-46, Center for Research in Economics and Statistics.
    14. Adam E Clements & Ayesha Scott & Annastiina Silvennoinen, 2012. "Forecasting multivariate volatility in larger dimensions: some practical issues," NCER Working Paper Series 80, National Centre for Econometric Research.
    15. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Manner, Hans & Reznikova, Olga, 2010. "Forecasting international stock market correlations: does anything beat a CCC?," Discussion Papers in Econometrics and Statistics 7/10, University of Cologne, Institute of Econometrics and Statistics.

  195. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Mean-Variance and Stochastic Dominance Approach," Working Papers in Economics 10/18, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2013. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Tinbergen Institute Discussion Papers 13-036/III, Tinbergen Institute.
    2. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    3. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    4. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    5. Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Ortiz-Cruz, Alejandro & Rodriguez, Eduardo & Ibarra-Valdez, Carlos & Alvarez-Ramirez, Jose, 2012. "Efficiency of crude oil markets: Evidences from informational entropy analysis," Energy Policy, Elsevier, vol. 41(C), pages 365-373.
    7. Broll, Udo & Wong, Wing-Keung & Wu, Mojia, 2013. "Banking Firm and Two-Moment Decision Making," MPRA Paper 51687, University Library of Munich, Germany.
    8. You‐How Go & Wee‐Yeap Lau, 2023. "What do we know about informational efficiency? Three puzzles and the new direction forward," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1489-1525, September.
    9. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Econometric Institute Research Papers EI 2013-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Hankyeung Choi & David J. Leatham & Kunlapath Sukcharoen, 2015. "Oil Price Forecasting Using Crack Spread Futures and Oil Exchange Traded Funds," Contemporary Economics, Vizja University, vol. 9(1), March.
    11. Qingfu Liu & Qian Luo & Yiuman Tse & Yuchi Xie, 2020. "The market quality of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1751-1766, November.
    12. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    13. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Alaba, Oluwayemisi O. & Ojo, Oluwadare O. & Yaya, OlaOluwa S & Abu, Nurudeen & Ajobo, Saheed A., 2021. "Comparative Analysis of Market Efficiency and Volatility of Energy Prices Before and During COVID-19 Pandemic Periods," MPRA Paper 109825, University Library of Munich, Germany.
    15. Sina Aghaei & Amirreza Safari Langroudi & Masoud Fekri, 2018. "A Predictive Model for Oil Market under Uncertainty: Data-Driven System Dynamics Approach," Papers 1808.04150, arXiv.org.
    16. Alvarez-Ramirez, J. & Alvarez, J. & Rodríguez, E., 2015. "Asymmetric long-term autocorrelations in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 424(C), pages 330-341.
    17. Chen, Pei-Fen & Lee, Chien-Chiang & Zeng, Jhih-Hong, 2014. "The relationship between spot and futures oil prices: Do structural breaks matter?," Energy Economics, Elsevier, vol. 43(C), pages 206-217.
    18. Mensi, Walid & Brahim, Mariem & Hammoudeh, Shawkat & Tiwari, Aviral Kumar & Kang, Sang Hoon, 2024. "Time-varying causality and correlations between spot and futures prices of natural gas, crude oil, heating oil, and gasoline," Resources Policy, Elsevier, vol. 93(C).
    19. George P. Papaioannou & Christos Dikaiakos & Akylas C. Stratigakos & Panos C. Papageorgiou & Konstantinos F. Krommydas, 2019. "Testing the Efficiency of Electricity Markets Using a New Composite Measure Based on Nonlinear TS Tools," Energies, MDPI, vol. 12(4), pages 1-30, February.
    20. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    21. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    22. Clark, Ephraim & Qiao, Zhuo & Wong, Wing-Keung, 2017. "Theories of Risk: Testing Investor Behaviour on the Taiwan Stock and Stock Index Futures Markets," MPRA Paper 82888, University Library of Munich, Germany.
    23. Lubnau, Thorben & Todorova, Neda, 2015. "Trading on mean-reversion in energy futures markets," Energy Economics, Elsevier, vol. 51(C), pages 312-319.
    24. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.
    25. Qiao, Zhuo & Wong, Wing-Keung & Fung, Joseph K.W., 2013. "Stochastic dominance relationships between stock and stock index futures markets: International evidence," Economic Modelling, Elsevier, vol. 33(C), pages 552-559.
    26. Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.
    27. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    28. Alberto Fernández Muñoz de Morales, 2013. "Credit spread modeling effects on counterparty risk valuation adjustments: a spanish case study," Documentos de Trabajo del ICAE 2013-32, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    29. Jena, Sangram Keshari & Tiwari, Aviral Kumar & Hammoudeh, Shawkat & Roubaud, David, 2019. "Distributional predictability between commodity spot and futures: Evidence from nonparametric causality-in-quantiles tests," Energy Economics, Elsevier, vol. 78(C), pages 615-628.
    30. Plakandaras, Vasilios & Gupta, Rangan & Wong, Wing-Keung, 2019. "Point and density forecasts of oil returns: The role of geopolitical risks," Resources Policy, Elsevier, vol. 62(C), pages 580-587.
    31. Islem Boutabba & Shin-Hung Pan & Wing-Keung Wong, 2025. "An Empirical Validation of a Behavioral Finance Model: The 52-week High as a Benchmark for an Index," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(4), pages 74-91.
    32. Fathi Abid & Pui Lam Leung & Mourad Mroua & Wing Keung Wong, 2014. "International Diversification Versus Domestic Diversification: Mean-Variance Portfolio Optimization and Stochastic Dominance Approaches," JRFM, MDPI, vol. 7(2), pages 1-22, May.
    33. Miroslava Zavadska & Lucía Morales & Joseph Coughlan, 2018. "The Lead–Lag Relationship between Oil Futures and Spot Prices—A Literature Review," IJFS, MDPI, vol. 6(4), pages 1-22, October.
    34. Wang, Jianli & Qiu, Shushu & Yick, Ho Yin, 2022. "The influence of the Shanghai crude oil futures on the global and domestic oil markets," Energy, Elsevier, vol. 245(C).
    35. Joseph, Anto & Sisodia, Garima & Tiwari, Aviral Kumar, 2014. "A frequency domain causality investigation between futures and spot prices of Indian commodity markets," Economic Modelling, Elsevier, vol. 40(C), pages 250-258.
    36. Kristoufek, Ladislav & Vosvrda, Miloslav, 2014. "Commodity futures and market efficiency," Energy Economics, Elsevier, vol. 42(C), pages 50-57.
    37. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
    38. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    39. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    40. Hooi Lean & Kok Phoon & Wing-Keung Wong, 2013. "Stochastic dominance analysis of CTA funds," Review of Quantitative Finance and Accounting, Springer, vol. 40(1), pages 155-170, January.
    41. Mihaela NICOLAU & Giulio PALOMBA & Ilaria TRAINI, 2013. "Are Futures Prices Influenced by Spot;Prices or Vice-versa? An Analysis of Crude;Oil, Natural Gas and Gold Markets," Working Papers 394, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    42. Sensoy, Ahmet & Hacihasanoglu, Erk, 2014. "Time-varying long range dependence in energy futures markets," Energy Economics, Elsevier, vol. 46(C), pages 318-327.
    43. Muthucattu Thomas Paul, 2018. "The Issues and Implications About the Volatility of the Stock and the Bond Prices and Their Returns and the Volatility of Interest Rates and Inflation - Which Are Being Researched in Finance and Macro-Monetary Economics Literature: A Survey," Applied Economics and Finance, Redfame publishing, vol. 5(2), pages 125-142, March.
    44. Yang, Linghubo & Zhang, Dongxiang, 2013. "Can futures price be a powerful predictor? Frequency domain analysis on Chinese commodity market," Economic Modelling, Elsevier, vol. 35(C), pages 264-271.
    45. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    46. Zhang, Bing, 2013. "Are the crude oil markets becoming more efficient over time? New evidence from a generalized spectral test," Energy Economics, Elsevier, vol. 40(C), pages 875-881.
    47. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    48. La Ode Saidi, 2025. "The Effects of Crude Oil Prices, Exchange Rates, and Inflation on the Level of Investment in Indonesia," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 106-126.
    49. Polanco Martínez, Josué M. & Abadie, Luis M. & Fernández-Macho, J., 2018. "A multi-resolution and multivariate analysis of the dynamic relationships between crude oil and petroleum-product prices," Applied Energy, Elsevier, vol. 228(C), pages 1550-1560.
    50. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015. "Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
    51. Jingliang Xiao & Robert D Brooks & Wing-Keung Wong, 2009. "Garch And Volume Effects In The Australian Stock Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-20.
    52. Lubnau, Thorben, 2014. "Spread trading strategies in the crude oil futures market," Discussion Papers 353, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    53. Chan, Chia-Ying & de Peretti, Christian & Qiao, Zhuo & Wong, Wing-Keung, 2012. "Empirical test of the efficiency of the UK covered warrants market: Stochastic dominance and likelihood ratio test approach," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 162-174.
    54. Liang Hu & Yoon‐Jin Lee, 2024. "New evidence on crude oil market efficiency," Economic Inquiry, Western Economic Association International, vol. 62(2), pages 892-916, April.
    55. Zhang, Bing & Li, Xiao-Ming & He, Fei, 2014. "Testing the evolution of crude oil market efficiency: Data have the conn," Energy Policy, Elsevier, vol. 68(C), pages 39-52.
    56. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    57. Manuel Landajo & María José Presno & Paula Fernández González, 2021. "Stationarity in the Prices of Energy Commodities. A Nonparametric Approach," Energies, MDPI, vol. 14(11), pages 1-16, June.
    58. Bai, Zhidong & Phoon, Kok Fai & Wang, Keyan & Wong, Wing-Keung, 2013. "The performance of commodity trading advisors: A mean-variance-ratio test approach," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 188-201.
    59. Chang, Hao-Wen & Chiang, Yi-Chein & Ke, Mei-Chu & Wang, Ming-Hui & Nguyen, Tien-Trung, 2023. "Market efficiency of Asian stock markets during the financial crisis and non-financial crisis periods," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 312-329.
    60. Onder Buberkoku, 2017. "Examining Energy Futures Market Efficiency Under Multiple Regime Shifts," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 61-71.
    61. Eric S. Fung & Kin Lam & Tak-Kuen Siu & Wing-Keung Wong, 2011. "A Pseudo-Bayesian Model for Stock Returns In Financial Crises," JRFM, MDPI, vol. 4(1), pages 1-31, December.
    62. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  196. Chia-Lin Chang & Biing-Wen Huang & Meng-Gu Chen & Michael McAleer, 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan: The Impact of Joining the WTO," Working Papers in Economics 10/39, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    2. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    3. Zeeshan Mustafa & Giuliano Vitali & Ray Huffaker & Maurizio Canavari, 2024. "A systematic review on price volatility in agriculture," Journal of Economic Surveys, Wiley Blackwell, vol. 38(1), pages 268-294, February.
    4. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Tinbergen Institute Discussion Papers 16-014/III, Tinbergen Institute, revised 30 Jan 2017.
    5. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn," Econometric Institute Research Papers EI2016-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  197. Manuabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010. "Modelling and Forecasting Noisy Realized Volatility," Working Papers in Economics 10/21, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    2. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Dimitrios I. Vortelinos, 2015. "Out‐of‐sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini‐futures markets," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 58-67, November.
    4. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2016. "Exploiting the errors: A simple approach for improved volatility forecasting," Journal of Econometrics, Elsevier, vol. 192(1), pages 1-18.
    5. Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
    6. Lee, Oesook, 2014. "The functional central limit theorem and structural change test for the HAR(∞) model," Economics Letters, Elsevier, vol. 124(3), pages 370-373.
    7. Bekierman, Jeremias & Manner, Hans, 2018. "Forecasting realized variance measures using time-varying coefficient models," International Journal of Forecasting, Elsevier, vol. 34(2), pages 276-287.
    8. Zhao, Yuan & Gong, Xue & Zhang, Weiguo & Xu, Weijun, 2024. "Forecasting carbon futures returns using feature selection and Markov chain with sample distribution," Energy Economics, Elsevier, vol. 140(C).
    9. Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
    10. Shirota, Shinichiro & Hizu, Takayuki & Omori, Yasuhiro, 2014. "Realized stochastic volatility with leverage and long memory," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 618-641.
    11. Duong, Diep & Swanson, Norman R., 2015. "Empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction," Journal of Econometrics, Elsevier, vol. 187(2), pages 606-621.
    12. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
    13. Claudiu Vinte & Marcel Ausloos & Titus Felix Furtuna, 2022. "A Volatility Estimator of Stock Market Indices Based on the Intrinsic Entropy Model," Papers 2205.01370, arXiv.org.
    14. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    15. Hwang, Eunju & Shin, Dong Wan, 2013. "A CUSUM test for a long memory heterogeneous autoregressive model," Economics Letters, Elsevier, vol. 121(3), pages 379-383.
    16. Maki, Daiki & Ota, Yasushi, 2021. "Impacts of asymmetry on forecasting realized volatility in Japanese stock markets," Economic Modelling, Elsevier, vol. 101(C).
    17. Gribisch, Bastian & Hartkopf, Jan Patrick, 2023. "Modeling realized covariance measures with heterogeneous liquidity: A generalized matrix-variate Wishart state-space model," Journal of Econometrics, Elsevier, vol. 235(1), pages 43-64.
    18. Hwang, Eunju & Shin, Dong Wan, 2015. "A CUSUMSQ test for structural breaks in error variance for a long memory heterogeneous autoregressive model," Statistics & Probability Letters, Elsevier, vol. 99(C), pages 167-176.
    19. Daiki Maki & Yasushi Ota, 2020. "The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets," Papers 2006.00158, arXiv.org.
    20. G. Mesters & S. J. Koopman & M. Ooms, 2016. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
    21. Vortelinos, Dimitrios I., 2015. "Out-of-sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini-futures markets," Review of Financial Economics, Elsevier, vol. 27(C), pages 58-67.
    22. Lin, Boqiang & Wu, Nan, 2022. "Do heterogeneous oil price shocks really have different effects on earnings management?," International Review of Financial Analysis, Elsevier, vol. 79(C).

  198. Massimiliano Caporin & Michael McAleer, 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Working Papers in Economics 10/58, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    3. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Tinbergen Institute Discussion Papers 13-086/III, Tinbergen Institute.
    5. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    6. Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
    7. Ahmed, Shamim & Valente, Giorgio, 2015. "Understanding the price of volatility risk in carry trades," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 118-129.
    8. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    9. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.
    10. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
    11. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
    12. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015. "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers EI2015-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    15. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Stavros Stavroyiannis, 2017. "A note on the Nelson Cao inequality constraints in the GJR-GARCH model: Is there a leverage effect?," Papers 1705.00535, arXiv.org.

  199. Chia-Lin Chang & Michael McAleer & Christine Lim, 2010. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Working Papers in Economics 10/40, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    2. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    3. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.

  200. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2010. "Modelling Conditional Correlations in the Volatility of Asian Rubber Spot and Futures Returns," Working Papers in Economics 10/38, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Yen-Hsien Lee & Hao Fang & Wei-Fan SU, 2014. "Effectiveness of Portfolio Diversification and the Dynamic Relationship between Stock and Currency Markets in the Emerging Eastern European and Russian Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 296-311, September.
    2. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chi-Wei Su & Lu Liu & Ran Tao & Oana-Ramona Lobonţ, 2019. "Do natural rubber price bubbles occur?," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 65(2), pages 67-73.
    4. Kentaro Iwatsubo & Clinton Watkins, 2018. "Who Influences the Fundamental Value of Commodity Futures in Japan?," Discussion Papers 1830, Graduate School of Economics, Kobe University.
    5. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
    6. Tao, Juan & Green, Christopher J., 2012. "Asymmetries, causality and correlation between FTSE100 spot and futures: A DCC-TGARCH-M analysis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 26-37.
    7. Yen-Hsien Lee, 2014. "An international analysis of REITs and stock portfolio management based on dynamic conditional correlation models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 165-180, May.
    8. Konstantinos N. Baltas & Robert Mann & Nicholaos C. Baltas, 2024. "The COVID-19 Pandemic and Unsustainable PPE Materials: A Correlation and Causality Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(6), pages 1651-1671, June.

  201. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Investor Preferences for Oil Spot and Futures Based on Mean-Variance and Stochastic Dominance," Working Papers in Economics 10/22, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    2. Broll, Udo & Wong, Wing-Keung & Wu, Mojia, 2013. "Banking Firm and Two-Moment Decision Making," MPRA Paper 51687, University Library of Munich, Germany.
    3. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Working Papers in Economics 13/30, University of Canterbury, Department of Economics and Finance.
    4. Ladislav Kristoufek & Miloslav Vosvrda, 2013. "Commodity futures and market efficiency," Papers 1309.1492, arXiv.org.
    5. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2012. "Stochastic Dominance Statistics for Risk Averters and Risk Seekers: An Analysis of Stock Preferences for USA and China," KIER Working Papers 820, Kyoto University, Institute of Economic Research.
    6. Onder Buberkoku, 2017. "Examining Energy Futures Market Efficiency Under Multiple Regime Shifts," International Journal of Energy Economics and Policy, Econjournals, vol. 7(6), pages 61-71.

  202. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2010. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Working Papers in Economics 10/66, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Wing-Keung Wong & Riffat Mughal & Mustafa Afeef & Naveed Khan & Hassan Zada, 2026. "Human Capital Based Six-Factor Asset Pricing Model in the Era of Covid-19," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 33(1), pages 25-63, March.
    2. Yani Quarta Mondiana & Henny Pramoedyo & Atiek Iriany & Marjono, 2024. "Exploring Geographical Variability in Sugarcane Yields: A Geographically Weighted Panel Regression Approach with MM Estimation," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 35-65, June.
    3. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    6. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    7. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    8. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    9. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  203. Michael McAleer & Massimiliano Caporin, 2010. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," Working Papers in Economics 10/32, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Oscar Espinosa & Fabio Nieto, 2020. "A study on the leverage effect on financial series using a TAR model: a Bayesian approach," Papers 2002.05319, arXiv.org, revised Feb 2020.
    3. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Working Papers in Economics 14/10, University of Canterbury, Department of Economics and Finance.
    4. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    5. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    6. Rombouts, Jeroen & Stentoft, Lars & Violante, Franceso, 2014. "The value of multivariate model sophistication: An application to pricing Dow Jones Industrial Average options," International Journal of Forecasting, Elsevier, vol. 30(1), pages 78-98.
    7. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.
    8. Harin, Alexander, 2014. "General correcting formulae for forecasts," MPRA Paper 55283, University Library of Munich, Germany.

  204. Michael McAleer & Juan-Ángel Jiménez-Martín & Teodosio Pérez-Amaral, 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Working Papers in Economics 10/63, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    2. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    3. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    4. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Su, Jung-Bin & Lee, Ming-Chih & Chiu, Chien-Liang, 2014. "Why does skewness and the fat-tail effect influence value-at-risk estimates? Evidence from alternative capital markets," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 59-85.
    6. Chang, C-L. & Allen, D.E. & McAleer, M.J. & Pérez-Amaral, T., 2013. "Risk Modelling and Management: An Overview," Econometric Institute Research Papers EI 2013-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    8. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    9. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.
    10. Chao Wang & Qian Chen & Richard Gerlach, 2017. "Bayesian Realized-GARCH Models for Financial Tail Risk Forecasting Incorporating Two-sided Weibull Distribution," Papers 1707.03715, arXiv.org.
    11. Bayer, Sebastian, 2018. "Combining Value-at-Risk forecasts using penalized quantile regressions," Econometrics and Statistics, Elsevier, vol. 8(C), pages 56-77.
    12. Bouwman, Kees & Buis, Boyd & Pieterse-Bloem, Mary & Tham, Wing Wah, 2015. "A practical approach to constructing price-based funding liquidity factors," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 90-97.
    13. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "GFC-robust risk management strategies under the Basel Accord," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 97-111.
    14. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.
    15. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    16. Noorshanaaz Khodabaccus & Aslam A. E. F. Saib, 2024. "volatilityforecastingpackage: A Financial Volatility Package in Mathematica," Computational Economics, Springer;Society for Computational Economics, vol. 63(6), pages 2307-2324, June.
    17. Liao, Shuyu & Sojli, Elvira & Tham, Wing Wah, 2015. "Managing systemic risk in The Netherlands," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 231-245.
    18. Liu, Xiaochun, 2017. "An integrated macro-financial risk-based approach to the stressed capital requirement," Review of Financial Economics, Elsevier, vol. 34(C), pages 86-98.
    19. Alessandra Amendola & Vincenzo Candila & Antonio Naimoli & Giuseppe Storti, 2024. "Combining Value-at-Risk and Expected Shortfall forecasts via the Model Confidence Set," Papers 2406.06235, arXiv.org, revised Feb 2026.
    20. Richard Gerlach & Chao Wang, 2016. "Bayesian Semi-parametric Realized-CARE Models for Tail Risk Forecasting Incorporating Realized Measures," Papers 1612.08488, arXiv.org.
    21. Richard Gerlach & Declan Walpole & Chao Wang, 2017. "Semi-parametric Bayesian tail risk forecasting incorporating realized measures of volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 199-215, February.
    22. Richard Gerlach & Chao Wang, 2016. "Forecasting risk via realized GARCH, incorporating the realized range," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 501-511, April.

  205. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," Working Papers in Economics 10/16, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chia-Lin Chang & Bert de Bruijn & Philip Hans Franses & Michael McAleer, 2013. "Analyzing Fixed-event Forecast Revisions," Documentos de Trabajo del ICAE 2013-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2013.
    2. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    3. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Are Forecast Updates Progressive?," Working Papers in Economics 10/12, University of Canterbury, Department of Economics and Finance.
    4. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2010. "Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments," CIRJE F-Series CIRJE-F-729, CIRJE, Faculty of Economics, University of Tokyo.
    5. Sun, Yuying & Wang, Shouyang & Zhang, Xun, 2018. "How efficient are China's macroeconomic forecasts? Evidences from a new forecasting evaluation approach," Economic Modelling, Elsevier, vol. 68(C), pages 506-513.
    6. Jordan, Steven J. & Vivian, Andrew & Wohar, Mark E., 2017. "Forecasting market returns: bagging or combining?," International Journal of Forecasting, Elsevier, vol. 33(1), pages 102-120.
    7. Jeffrey Frankel, 2011. "A Solution to Fiscal Procyclicality: the Structural Budget Institutions Pioneered by Chile," Working Papers Central Bank of Chile 604, Central Bank of Chile.
    8. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2011. "Evaluating Individual and Mean Non-Replicable Forecasts," Documentos de Trabajo del ICAE 2011-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.
    10. Chang, C-L. & Franses, Ph.H.B.F. & McAleer, M.J., 2010. "Evaluating Combined Non-Replicable Forecast," Econometric Institute Research Papers EI 2010-74, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2014. "Evaluating Macroeconomic Forecasts: A Concise Review Of Some Recent Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 195-208, April.
    12. Frankel, Jeffrey A., 2011. "A Solution to Overoptimistic Forecasts and Fiscal Procyclicality: The Structural Budget Institutions Pioneered by Chile," Scholarly Articles 4723209, Harvard Kennedy School of Government.
    13. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 7(2), pages 129-138, September.
    14. Chang, Chun-Ping & Lee, Chien-Chiang & Hsieh, Meng-Chi, 2015. "Does globalization promote real output? Evidence from quantile cointegration regression," Economic Modelling, Elsevier, vol. 44(C), pages 25-36.
    15. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.
    16. Harin, Alexander, 2014. "General correcting formulae for forecasts," MPRA Paper 55283, University Library of Munich, Germany.

  206. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," Working Papers in Economics 10/02, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    2. Martins, Luís Filipe & Gan, Yi & Ferreira-Lopes, Alexandra, 2017. "An empirical analysis of the influence of macroeconomic determinants on World tourism demand," Tourism Management, Elsevier, vol. 61(C), pages 248-260.
    3. Chang, C-L. & Khamkaew, T. & McAleer, M.J., 2010. "Estimating Price Effects in an Almost Ideal Demand Model of Outbound Thai Tourism to East Asia," Econometric Institute Research Papers EI 2010-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Pat Obi & Robert L. Martin & Greg Chidi Obi, 2016. "Tourism: the untapped goldmine in the Gold Coast," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 22(1), pages 17-28, May.
    6. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2012. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," KIER Working Papers 839, Kyoto University, Institute of Economic Research.
    7. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    8. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Cheong Kin Wan & Jen Sim Ho, 2022. "Effects of Multiple Financial News Shocks on Tourism Demand Volatility Modelling and Forecasting," JRFM, MDPI, vol. 15(7), pages 1-47, June.
    9. Irandoust, Manuchehr, 2019. "On the relation between exchange rates and tourism demand: A nonlinear and asymmetric analysis," The Journal of Economic Asymmetries, Elsevier, vol. 20(C).
    10. Wang, Yiwei & Sun, Zhaoyang & Feng, Chao & Wu, Ran & Yan, Jiale, 2025. "Unravelling the impact of clean energy on the tourism sector of the stock market: Evidence from quantile granger causality and wavelet coherence analysis," International Review of Economics & Finance, Elsevier, vol. 98(C).
    11. Manu Sharma & Geetilaxmi Mohapatra & A. K. Giri, 2022. "Examining the macro-determinants of tourist arrivals in India," SN Business & Economics, Springer, vol. 2(8), pages 1-18, August.
    12. Chih-Yuan Lin & Mateus Lee, 2020. "Taiwan’s opening policy to Chinese tourists and cross-strait relations: The impacts on inbound tourism into Taiwan," Tourism Economics, , vol. 26(1), pages 27-44, February.

  207. Chia-Lin Chang & Li-Hsueh Chen & Shawkat Hammoudeh & Michael McAleer, 2010. "Asymmetric Adjustments in the Ethanol and Grains Markets," Working Papers in Economics 10/78, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Zhang, Chuanguo & Chen, Xiaoqing, 2014. "The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries," Energy Policy, Elsevier, vol. 66(C), pages 32-41.
    3. Carlotta Penone & Samuele Trestini, 2022. "Testing for asymmetric cointegration of Italian agricultural commodities prices: Evidence from the futures-spot market relationship," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(2), pages 50-58.
    4. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Zhige Wu & Alex Maynard & Alfons Weersink & Getu Hailu, 2018. "Asymmetric spot‐futures price adjustments in grain markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(12), pages 1549-1564, December.
    6. Hernandez, Jose Areola & Shahzad, Syed Jawad Hussain & Uddin, Gazi Salah & Kang, Sang Hoon, 2019. "Can agricultural and precious metal commodities diversify and hedge extreme downside and upside oil market risk? An extreme quantile approach," Resources Policy, Elsevier, vol. 62(C), pages 588-601.
    7. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    8. Han, Liyan & Jin, Jiayu & Wu, Lei & Zeng, Hongchao, 2020. "The volatility linkage between energy and agricultural futures markets with external shocks," International Review of Financial Analysis, Elsevier, vol. 68(C).
    9. Awudu, Iddrisu & Wilson, William & Dahl, Bruce, 2016. "Hedging strategy for ethanol processing with copula distributions," Energy Economics, Elsevier, vol. 57(C), pages 59-65.
    10. Walid Mensi & Shawkat Hammoudeh & Duc Khuong Nguyen & Seong-Min Yoon, 2014. "Dynamic spillovers among major energy and cereal commodity prices," Working Papers 2014-160, Department of Research, Ipag Business School.
    11. Wixson, Sarah E. & Katchova, Ani L., "undated". "Price Asymmetric Relationships in Commodity and Energy Markets," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122553, European Association of Agricultural Economists.
    12. Spencer, Simon & Bredin, Don & Conlon, Thomas, 2018. "Energy and agricultural commodities revealed through hedging characteristics: Evidence from developing and mature markets," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 1-20.
    13. Zhuo Chen & Bo Yan & Hanwen Kang & Liyu Liu, 2023. "Asymmetric price adjustment and price discovery in spot and futures markets of agricultural commodities," Review of Economic Design, Springer;Society for Economic Design, vol. 27(1), pages 139-162, February.
    14. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn," Econometric Institute Research Papers EI2016-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  208. David E. Allen & Michael McAleer & Marcel Scharth, 2010. "Realized Volatility Risk," Working Papers in Economics 10/26, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    2. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," Tinbergen Institute Discussion Papers 13-003/III, Tinbergen Institute.
    3. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Forecasting Realized (Co)Variances with a Bloc Structure Wishart Autoregressive Model," Working Papers on Finance 1211, University of St. Gallen, School of Finance.
    6. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2008. "Asymmetry and leverage in realized volatility," Econometric Institute Research Papers EI 2008-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Allen, David E. & McAleer, Michael & Scharth, Marcel, 2011. "Monte Carlo option pricing with asymmetric realized volatility dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1247-1256.
    9. Vincenzo Candila, 2013. "A Comparison of the Forecasting Performances of Multivariate Volatility Models," Working Papers 3_228, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    10. Cathy Ning & Dinghai Xu & Tony Wirjanto, 2010. "Modeling Asymmetric Volatility Clusters Using Copulas and High Frequency Data," Working Papers 1001, University of Waterloo, Department of Economics, revised Jan 2010.
    11. Duong, Diep & Swanson, Norman R., 2015. "Empirical evidence on the importance of aggregation, asymmetry, and jumps for volatility prediction," Journal of Econometrics, Elsevier, vol. 187(2), pages 606-621.
    12. Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.
    13. Federico M. Bandi & Roberto Reno, 2009. "Nonparametric Stochastic Volatility," Global COE Hi-Stat Discussion Paper Series gd08-035, Institute of Economic Research, Hitotsubashi University.
    14. Debaly, Zinsou Max & Marchand, Philippe & Girona, Miguel Montoro, 2022. "Autoregressive models for time series of random sums of positive variables: Application to tree growth as a function of climate and insect outbreak," Ecological Modelling, Elsevier, vol. 471(C).
    15. Jensen, Mark J & Maheu, John M, 2013. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," MPRA Paper 52132, University Library of Munich, Germany.

  209. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2010. "A Trinomial Test for Paired Data When There are Many Ties," Working Papers in Economics 10/20, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    2. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    4. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    5. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    6. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    7. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  210. Shawkat M.Hammoudeh & Yuan Yuan & Michael McAleer, 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Working Papers in Economics 10/33, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Mohamad, Sharifah Fairuz Syed & Masih, Mansur, 2013. "An application of MGARCH-DCC analysis on selected currencies in terms of gold Price," MPRA Paper 62349, University Library of Munich, Germany.
    2. Maryam Ahmadi & Niaz Bashiri Behmiri & Matteo Manera, 2015. "How is Volatility in Commodity Markets Linked to Oil Price Shocks?," Working Papers 2015.101, Fondazione Eni Enrico Mattei.
    3. Mohamad, Sharifah Fairuz Syed & Masih, Mansur, 2013. "Gold price movements in selected currencies: wavelet approach," MPRA Paper 62347, University Library of Munich, Germany.
    4. Halova Wolfe, Marketa & Rosenman, Robert, 2014. "Bidirectional causality in oil and gas markets," Energy Economics, Elsevier, vol. 42(C), pages 325-331.
    5. Andi Duqi & Leonardo Franci & Giuseppe Torluccio, 2014. "The Black-Litterman model: the definition of views based on volatility forecasts," Applied Financial Economics, Taylor & Francis Journals, vol. 24(19), pages 1285-1296, October.

  211. Michael McAleer & Bernardo da Veiga & Suhejla Hoti, 2010. "Value-at-Risk for Country Risk Ratings," Working Papers in Economics 10/29, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.
    2. San-Martín-Albizuri, Nerea & Rodríguez-Castellanos, Arturo, 2012. "Globalisation And The Unpredictability Of Crisis Episodes: An Empirical Analysis Of Country Risk Indexes / La Imprevisibilidad De Los Episodios De Crisis: Un Análisis Sobre Los Índices De Riesgo País En La Era De La Globalización," Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 18(2), pages 148-155.
    3. Abroon Qazi & Mecit Can Emre Simsekler, 2022. "Prioritizing interdependent drivers of financial, economic, and political risks using a data-driven probabilistic approach," Risk Management, Palgrave Macmillan, vol. 24(2), pages 164-185, June.
    4. Qazi, Abroon, 2023. "Exploring Global Competitiveness Index 4.0 through the lens of country risk," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    5. Cristina Alina Naftanaila, 2012. "Rating Based on the Country Risk," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 2(2), pages 126-135, April.
    6. Köksal, Bülent & Orhan, Mehmet, 2012. "Market risk of developed and developing countries during the global financial crisis," MPRA Paper 37523, University Library of Munich, Germany.

  212. Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
    2. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    3. Bermudez, P. de Zea & Marín, J. Miguel & Rue, Håvard & Veiga, Helena, 2024. "Integrated nested Laplace approximations for threshold stochastic volatility models," Econometrics and Statistics, Elsevier, vol. 30(C), pages 15-35.
    4. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    5. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Zea Bermúdez, Patricia de & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Afonso, António & Gomes, Pedro & Taamouti, Abderrahim, 2014. "Sovereign credit ratings, market volatility, and financial gains," Working Paper Series 1654, European Central Bank.
    10. Chiu, Hsin-Yu & Chen, Ting-Fu, 2020. "Impact of volatility jumps in a mean-reverting model: Derivative pricing and empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    11. Bales, Kyle & Malikane, Christopher, 2020. "The effect of credit ratings on emerging market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    12. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CARF F-Series CARF-F-167, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    14. Antonis Demos, 2025. "Statistical Properties of Two Asymmetric Stochastic Volatility in Power Mean Models," DEOS Working Papers 2546, Athens University of Economics and Business.
    15. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Yanhui Xi & Hui Peng & Yemei Qin, 2016. "Modeling Financial Time Series Based on a Market Microstructure Model with Leverage Effect," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-15, February.
    17. Bretó, Carles, 2014. "On idiosyncratic stochasticity of financial leverage effects," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 20-26.
    18. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
    19. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2014. "Score driven asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws142618, Universidad Carlos III de Madrid. Departamento de Estadística.
    20. Hassanniakalager, Arman & Baker, Paul L. & Platanakis, Emmanouil, 2024. "A False Discovery Rate approach to optimal volatility forecasting model selection," International Journal of Forecasting, Elsevier, vol. 40(3), pages 881-902.
    21. Athanasios Tsagkanos & Konstantinos Gkillas & Christoforos Konstantatos & Christos Floros, 2021. "Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System," IJFS, MDPI, vol. 9(2), pages 1-13, April.
    22. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    23. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
    24. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    25. Moawia Alghalith & Christos Floros & Konstantinos Gkillas, 2020. "Estimating Stochastic Volatility under the Assumption of Stochastic Volatility of Volatility," Risks, MDPI, vol. 8(2), pages 1-15, April.
    26. Antonis Demos, 2023. "Statistical Properties of Two Asymmetric Stochastic Volatility in Mean Models," DEOS Working Papers 2303, Athens University of Economics and Business.
    27. Carles Bret'o, 2013. "On idiosyncratic stochasticity of financial leverage effects," Papers 1312.5496, arXiv.org.
    28. Wang, Joanna J.J., 2012. "On asymmetric generalised t stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2079-2095.
    29. Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
    30. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    31. Mao, Xiuping & Ruiz, Esther & Veiga, Helena, 2017. "Threshold stochastic volatility: Properties and forecasting," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1105-1123.
    32. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.

  213. Massimiliano Caporin & Michael McAleer, 2010. "Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models," Working Papers in Economics 10/06, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Sayantan Bandhu Majumder & Ranjanendra Narayan Nag, 2018. "Shock and Volatility Spillovers Among Equity Sectors of the National Stock Exchange in India," Global Business Review, International Management Institute, vol. 19(1), pages 227-240, February.
    2. R. REYTIER & A. Blanes & Q. Gaucher & S. Thiam & P. Debled, 2015. "Behavior of Covariance Matrices with Equi-Correlation Approach," Proceedings of International Academic Conferences 2805027, International Institute of Social and Economic Sciences.
    3. Drenkovska, Marija & Lenarčič, Črt, 2025. "Financial markets stress indicator for Slovenia (FIMSIS)," MPRA Paper 125551, University Library of Munich, Germany.
    4. Pier Francesco Procacci & Tomaso Aste, 2022. "Portfolio optimization with sparse multivariate modeling," Journal of Asset Management, Palgrave Macmillan, vol. 23(6), pages 445-465, October.
    5. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
    6. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    7. Alina Zaharia, 2021. "Estimation of Correlation between Capital Markets. Analysing the case of Central and Eastern European markets in the context of the COVID-19 pandemic," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 13(1), pages 61-78, June.
    8. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    9. Rasmus Søndergaard Pedersen, 2014. "Targeting estimation of CCC-Garch models with infinite fourth moments," Discussion Papers 14-04, University of Copenhagen. Department of Economics.
    10. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    11. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2017. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," MPRA Paper 80435, University Library of Munich, Germany.
    12. Edward Chi Ho Tang & Charles Ka Yui Leung, 2024. "Icing on the cake: Can the Top-Floor Units serve as a status good and an investment simultaneously?," ISER Discussion Paper 1252, Institute of Social and Economic Research, The University of Osaka.
    13. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "How are VIX and Stock Index ETF Related?," Documentos de Trabajo del ICAE 2016-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Rodrigue Dossou-Cadja, 2024. "The 1992-93 EMS Crisis and the South: Lessons from the Franc Zone System and the 1994 CFA Franc Devaluation," Working Papers 0246, European Historical Economics Society (EHES).
    15. Michael McAleer, 2014. "Discussion of “Principal Volatility Component Analysis” by Yu-Pin Hu and Ruey Tsay," Documentos de Trabajo del ICAE 2014-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    16. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    17. Ana I. Sanjuán-López & Philip J. Dawson, 2017. "Volatility Effects of Index Trading and Spillovers on US Agricultural Futures Markets: A Multivariate GARCH Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(3), pages 822-838, September.
    18. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    20. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    21. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    22. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    23. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2011. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," Documentos de Trabajo del ICAE 2011-34, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    24. Yudong Wang & Li Liu, 2016. "Crude oil and world stock markets: volatility spillovers, dynamic correlations, and hedging," Empirical Economics, Springer, vol. 50(4), pages 1481-1509, June.
    25. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    26. Díaz, Antonio & Esparcia, Carlos & Tegtmeier, Lars, 2025. "Private equity market dynamics: Beyond the surface," International Review of Economics & Finance, Elsevier, vol. 100(C).
    27. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    28. Asl, Mahdi Ghaemi & Canarella, Giorgio & Miller, Stephen M., 2021. "Dynamic asymmetric optimal portfolio allocation between energy stocks and energy commodities: Evidence from clean energy and oil and gas companies," Resources Policy, Elsevier, vol. 71(C).
    29. Lv, Xin & Lien, Donald & Yu, Chang, 2020. "Who affects who? Oil price against the stock return of oil-related companies: Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 85-100.
    30. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2012. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," KIER Working Papers 839, Kyoto University, Institute of Economic Research.
    32. Dimitrios Dimitriou & Dimitris Kenourgios & Theodore Simos & Alexandros Tsioutsios, 2025. "The implications of non‐synchronous trading in G‐7 financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(1), pages 689-709, January.
    33. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    34. Guglielmo Maria Caporale & John Hunter & Faek Menla Ali, 2013. "On the Linkages between Stock Prices and Exchange Rates: Evidence from the Banking Crisis of 2007-2010," CESifo Working Paper Series 4189, CESifo.
    35. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    36. Hafner, Christian M. & Wang, Linqi, 2023. "A dynamic conditional score model for the log correlation matrix," Journal of Econometrics, Elsevier, vol. 237(2).
    37. Martin T. Bohl, Badye Essid, Pierre Siklos, 2018. "Short-Selling Bans and the Global Financial Crisis: Are they Inter-Connected?," LCERPA Working Papers 0112, Laurier Centre for Economic Research and Policy Analysis, revised 30 Jan 2018.
    38. V. Lakshina V. & K. Lapshina A. & В. Лакшина В. & К. Лапшина А., 2016. "Сравнительный Анализ Стратегий Хеджирования Фьючерсами Портфеля Ценных Бумаг // Comparative Analysis Of Strategies For Hedging A Securities Portfolio With Futures," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 20(5), pages 105-114.
    39. Michael McAleer, 2019. "What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity, and (Non-) Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," JRFM, MDPI, vol. 12(2), pages 1-9, April.
    40. Jung-Bin Su, 2020. "The Implementation of Asset Allocation Approaches: Theory and Evidence," Sustainability, MDPI, vol. 12(17), pages 1-28, September.
    41. Lerskullawat, Polwat, 2019. "Hedging Effectiveness on the Thailand Futures Exchange Market," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
    42. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    43. Dimitrios Vortelinos & Konstantinos Gkillas (Gillas) & Costas Syriopoulos & Argyro Svingou, 2017. "Asymmetric and nonlinear inter-relations of US stock indices," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 14(1), pages 78-129, December.
    44. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    45. Hussein Hassan & Minko Markovski & Alexander Mihailov, 2023. "A TGARCH Quantification of the Average Effect of COVID-19 Cases on Share Prices by Sector: Comparing the US and the UK," Economics Discussion Papers em-dp2023-15, Department of Economics, University of Reading.
    46. David C Broadstock & Hong Cao & Dayong Zhang, 2012. "Oil Shocks and their Impact on Energy Related Stocks in China," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 137, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    47. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    48. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2016. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn," Documentos de Trabajo del ICAE 2016-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    49. Carlo Drago & Andrea Scozzari, 2022. "Evaluating conditional covariance estimates via a new targeting approach and a networks-based analysis," Papers 2202.02197, arXiv.org.
    50. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
    51. Rodrigue Dossou-Cadja, 2025. "The 1992-93 EMS Crisis and the South: Lessons from the Franc Zone System and the 1994 CFA Franc Devaluation," Working Papers 2025.18, International Network for Economic Research - INFER.
    52. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    53. Louzis, Dimitrios & Vouldis, Angelos, 2013. "A financial systemic stress index for Greece," Working Paper Series 1563, European Central Bank.
    54. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.
    55. Dhaene, Geert & Wu, Jianbin, 2020. "Incorporating overnight and intraday returns into multivariate GARCH volatility models," Journal of Econometrics, Elsevier, vol. 217(2), pages 471-495.
    56. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    57. Riccardo Blasis & Luca Galati & Alexander Webb & Robert I. Webb, 2023. "Intelligent design: stablecoins (in)stability and collateral during market turbulence," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    58. Alexandridis, G. & Sahoo, S. & Visvikis, I., 2017. "Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 82-104.
    59. Aielli, Gian Piero & Caporin, Massimiliano, 2014. "Variance clustering improved dynamic conditional correlation MGARCH estimators," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 556-576.
    60. Christian Francq & Jean-Michel Zakoïan, 2016. "Estimating multivariate volatility models equation by equation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 613-635, June.
    61. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "Has the Basel Accord improved risk management during the global financial crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 250-265.
    62. Carlo Drago & Andrea Scozzari, 2023. "A Network-Based Analysis for Evaluating Conditional Covariance Estimates," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    63. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    64. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
    65. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    66. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2011. "Extreme values dependence of risk in Latin American markets," Economics Bulletin, AccessEcon, vol. 31(4), pages 2903-2914.
    67. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    68. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    69. Kusen, Alex & Rudolf, Markus, 2019. "Feedback trading: Strategies during day and night with global interconnectedness," Research in International Business and Finance, Elsevier, vol. 48(C), pages 438-463.
    70. Galati, Luca & Capalbo, Francesco, 2024. "Silicon Valley Bank bankruptcy and Stablecoins stability," International Review of Financial Analysis, Elsevier, vol. 91(C).
    71. Dimitrios Thomakos & Johannes Klepsch & Dimitris N. Politis, 2020. "Model Free Inference on Multivariate Time Series with Conditional Correlations," Stats, MDPI, vol. 3(4), pages 1-26, November.
    72. Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
    73. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    74. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, vol. 5(2), pages 1-33, May.
    75. Athanasios Tsagkanos & Konstantinos Gkillas & Christoforos Konstantatos & Christos Floros, 2021. "Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System," IJFS, MDPI, vol. 9(2), pages 1-13, April.
    76. Heidari, Hassan & Ebrahimi Torki, Mahyar & Babaei Balderlou, Saharnaz, 2015. "How Do Different Oil Price Shocks Affect the Relationship Between Oil and Stock Markets?," MPRA Paper 80273, University Library of Munich, Germany, revised 24 Dec 2016.
    77. Burda Martin, 2015. "Constrained Hamiltonian Monte Carlo in BEKK GARCH with Targeting," Journal of Time Series Econometrics, De Gruyter, vol. 7(1), pages 95-113, January.
    78. Paolella, Marc S. & Polak, Paweł, 2015. "ALRIGHT: Asymmetric LaRge-scale (I)GARCH with Hetero-Tails," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 282-297.
    79. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    80. Hussein Hassan & Minko Markovski & Alexander Mihailov, 2022. "COVID-19 Cases and Stock Prices by Sector in Major Economies: What Do We Learn from the Daily Data?," Economics Discussion Papers em-dp2022-04, Department of Economics, University of Reading.
    81. Aielli, Gian Piero & Caporin, Massimiliano, 2013. "Fast clustering of GARCH processes via Gaussian mixture models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 205-222.
    82. Bauwens, Luc & Grigoryeva, Lyudmila & Ortega, Juan-Pablo, 2016. "Estimation and empirical performance of non-scalar dynamic conditional correlation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 17-36.
    83. Luke De Clerk & Sergey Savel'ev, 2021. "Non-stationary GARCH modelling for fitting higher order moments of financial series within moving time windows," Papers 2102.11627, arXiv.org, revised Mar 2021.
    84. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    85. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & David Martinez-Regoband & Fan Wu, 2020. "Cryptocurrency Trading: A Comprehensive Survey," Papers 2003.11352, arXiv.org, revised Jan 2022.
    86. Adams, Zeno & Füss, Roland & Glück, Thorsten, 2017. "Are correlations constant? Empirical and theoretical results on popular correlation models in finance," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 9-24.
    87. Xiaochun Liu, 2018. "Structural Volatility Impulse Response Function and Asymptotic Inference," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 316-339.
    88. Jamal Bouoiyour & Refk Selmi, 2019. "Brexit and CDS spillovers across UK and Europe," Post-Print hal-01736525, HAL.
    89. Moawia Alghalith & Christos Floros & Konstantinos Gkillas, 2020. "Estimating Stochastic Volatility under the Assumption of Stochastic Volatility of Volatility," Risks, MDPI, vol. 8(2), pages 1-15, April.
    90. Caporin, Massimiliano & Costola, Michele, 2022. "Time-varying Granger causality tests in the energy markets: A study on the DCC-MGARCH Hong test," Energy Economics, Elsevier, vol. 111(C).
    91. Caporina, Massimiliano & Costola, Michele, 2021. "Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test," SAFE Working Paper Series 324, Leibniz Institute for Financial Research SAFE.
    92. Luca Vincenzo Ballestra & Riccardo De Blasis & Graziella Pacelli, 2025. "Multivariate GARCH models with spherical parameterizations: an oil price application," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-20, December.
    93. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    94. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, vol. 41(C), pages 63-75.
    95. Valeriya Lakshina, 2014. "Is it possible to break the «curse of dimensionality»? Spatial specifications of multivariate volatility models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 61-78.
    96. Filippidis, Michail & Filis, George & Kizys, Renatas, 2020. "Oil price shocks and EMU sovereign yield spreads," Energy Economics, Elsevier, vol. 86(C).
    97. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2019. "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies’ stock returns," Energy, Elsevier, vol. 188(C).
    98. Katsiampa, Paraskevi, 2019. "Volatility co-movement between Bitcoin and Ether," Finance Research Letters, Elsevier, vol. 30(C), pages 221-227.
    99. Jessica Leutert, 2018. "The Swiss franc safety premium," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-21, December.
    100. Massimo Peri & Daniela Vandone & Lucia Baldi, 2017. "Volatility Spillover between Water, Energy and Food," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    101. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.
    102. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Nicola, 2015. "Exchange rate uncertainty and international portfolio flows: A multivariate GARCH-in-mean approach," Journal of International Money and Finance, Elsevier, vol. 54(C), pages 70-92.
    103. Tsang, Andrew & Yiu, Matthew S. & Nguyen, Huy Toan, 2021. "Spillover across sovereign bond markets between the US and ASEAN4 economies," Journal of Asian Economics, Elsevier, vol. 76(C).
    104. Berger, T. & Missong, M., 2014. "Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 33-38.
    105. Huai, Jingliang & Cheung, Adrian (Wai Kong) & Wang, Bin, 2026. "On completing the connectedness analysis—A bootstrap-based DCC-GARCH approach," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).

  214. Michael McAleer & Chatayan Wiphatthanananthakul, 2010. "A Simple Expected Volatility (SEV) Index: Application to SET50 Index Options," Working Papers in Economics 10/15, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    2. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
    3. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    5. Chia-Lin Chang & Lydia González-Serrano & Juan-Ángel Jiménez-Martín, 2012. "Currency Hedging Strategies Using Dynamic Multivariate GARCH," Documentos de Trabajo del ICAE 2012-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Feb 2012.

  215. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Papadopoulou, Georgia & Sambracos, Evangelos, 2014. "Recent Evolution of Cruise Activities in European Ports of Embarkation: a Quantitative and Economic Approach," MPRA Paper 68626, University Library of Munich, Germany.

  216. Massimiliano Caporin & Michael McAleer, 2009. "A Scientific Classification of Volatility Models," Documentos de Trabajo del ICAE 2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. Massimiliano Caporin & Juan Ángel Jiménez Martín & Lydia González-Serrano, 2013. "Currency hedging strategies, strategic benchmarks and the Global and Euro Sovereign financial crises," Documentos de Trabajo del ICAE 2013-36, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
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    120. Nekhili, Ramzi & Sultan, Jahangir & Mensi, Walid, 2021. "Co-movements among precious metals and implications for portfolio management: A multivariate wavelet-based dynamic analysis," Resources Policy, Elsevier, vol. 74(C).
    121. Mehmet Balcilar & Riza Demirer & Rangan Gupta, 2017. "Do Sustainable Stocks Offer Diversification Benefits for Conventional Portfolios? An Empirical Analysis of Risk Spillovers and Dynamic Correlations," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    122. He, Kaijian & Liu, Youjin & Yu, Lean & Lai, Kin Keung, 2016. "Multiscale dependence analysis and portfolio risk modeling for precious metal markets," Resources Policy, Elsevier, vol. 50(C), pages 224-233.
    123. Khalifa, Ahmed A.A. & Otranto, Edoardo & Hammoudeh, Shawkat & Ramchander, Sanjay, 2016. "Volatility transmission across currencies and commodities with US uncertainty measures," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 63-83.
    124. Elsayed, Ahmed H. & Nasreen, Samia & Tiwari, Aviral Kumar, 2020. "Time-varying co-movements between energy market and global financial markets: Implication for portfolio diversification and hedging strategies," Energy Economics, Elsevier, vol. 90(C).
    125. Zhao, Jing, 2023. "Time-varying impact of geopolitical risk on natural resources prices: Evidence from the hybrid TVP-VAR model with large system," Resources Policy, Elsevier, vol. 82(C).
    126. Stephanos Papadamou & Thomas Markopoulos, 2014. "Investigating Intraday Interdependence Between Gold, Silver and Three Major Currencies: the Euro, British Pound and Japanese Yen," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 20(4), pages 399-410, November.
    127. Kazım Berk Küçüklerli & Veysel Ulusoy, 2023. "The time-varying correlation between popular narratives and TRY/USD FX rate: Evidence from a DCC-GARCH model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(4), pages 1-3.
    128. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.
    129. Liu, Ming-Lei & Ji, Qiang & Fan, Ying, 2013. "How does oil market uncertainty interact with other markets? An empirical analysis of implied volatility index," Energy, Elsevier, vol. 55(C), pages 860-868.
    130. Chkili, Walid & Ben Rejeb, Aymen & Arfaoui, Mongi, 2021. "Does bitcoin provide hedge to Islamic stock markets for pre- and during COVID-19 outbreak? A comparative analysis with gold," Resources Policy, Elsevier, vol. 74(C).
    131. Christian Pierdzioch & Marian Risse, 2020. "Forecasting precious metal returns with multivariate random forests," Empirical Economics, Springer, vol. 58(3), pages 1167-1184, March.

  218. Juan-Angel Jimenez-Martin & Michael McAleer & Teodosio Pérez-Amaral, 2009. "The Ten Commandments for Managing Value-at-Risk Under the Basel II Accord," Documentos de Trabajo del ICAE 2009-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Hammoudeh, S.M. & Malik, F. & McAleer, M.J., 2010. "Risk management of precious metals," Econometric Institute Research Papers EI 2010-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    4. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    5. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Michael McAleer & Juan-Ángel Jiménez-Martín & Teodosio Pérez-Amaral, 2011. "International Evidence on GFC-robust Forecasts for Risk Management under the Basel Accord," Working Papers in Economics 11/05, University of Canterbury, Department of Economics and Finance.
    8. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    9. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    10. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    11. Simone Varotto, 2011. "Liquidity Risk, Credit Risk, Market Risk and Bank Capital," ICMA Centre Discussion Papers in Finance icma-dp2011-02, Henley Business School, University of Reading.
    12. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," Econometric Institute Research Papers EI 2009-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    14. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CIRJE F-Series CIRJE-F-683, CIRJE, Faculty of Economics, University of Tokyo.
    15. Michael McAleer, 2009. "The Ten Commandments For Optimizing Value‐At‐Risk And Daily Capital Charges," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 831-849, December.
    16. Antonio Cabrales & Haydée Lugo, 2011. "An impure public good model with lotteries in large grou," Documentos de Trabajo del ICAE 2011-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  219. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Modeling Exchange Rate and Industrial Commodity Volatility Transmissions," "Marco Fanno" Working Papers 0096, Dipartimento di Scienze Economiche "Marco Fanno".

    Cited by:

    1. Maryam Ahmadi & Niaz Bashiri Behmiri & Matteo Manera, 2015. "How is Volatility in Commodity Markets Linked to Oil Price Shocks?," Working Papers 2015.101, Fondazione Eni Enrico Mattei.
    2. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    3. Guhathakurta, Kousik & Dash, Saumya Ranjan & Maitra, Debasish, 2020. "Period specific volatility spillover based connectedness between oil and other commodity prices and their portfolio implications," Energy Economics, Elsevier, vol. 85(C).
    4. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    5. Alomari, Mohammad & Mensi, Walid & Vo, Xuan Vinh & Kang, Sang Hoon, 2022. "Extreme return spillovers and connectedness between crude oil and precious metals futures markets: Implications for portfolio management," Resources Policy, Elsevier, vol. 79(C).
    6. Umar, Zaghum & Jareño, Francisco & Escribano, Ana, 2021. "Oil price shocks and the return and volatility spillover between industrial and precious metals," Energy Economics, Elsevier, vol. 99(C).

  220. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. David Allen & Robert Faff, 2012. "The Global Financial Crisis: some attributes and responses," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 1-7, March.

  221. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Exchange Rate and Industrial Commodity Volatility Transmissions and Hedging Strategies," CARF F-Series CARF-F-172, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    2. Ahmadi, Maryam & Bashiri Behmiri, Niaz & Manera, Matteo, 2016. "How is volatility in commodity markets linked to oil price shocks?," Energy Economics, Elsevier, vol. 59(C), pages 11-23.

  222. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Hanif, Waqas & Arreola Hernandez, Jose & Kang, Sang Hoon & Boako, Gideon & Yoon, Seong-Min, 2024. "Interdependence and spillovers between big oil companies and regional and global energy equity markets," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 451-469.
    2. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH," Econometric Institute Research Papers EI 2010-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    4. Domingo Rodríguez Benavides & Nancy Muller Durán & José Antonio Climent Hernández, 2021. "Spillovers entre los principales Mercados Accionarios de Latinoamérica, Estados Unidos y el Mercado Petrolero," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-18, Enero - M.
    5. Mushtaq Hussain Khan & Junaid Ahmed & Mazhar Mughal & Imtiaz Hussain Khan, 2023. "Oil price volatility and stock returns: Evidence from three oil‐price wars," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3162-3182, July.
    6. Arouri, Mohamed El Hedi & Jouini, Jamel & Nguyen, Duc Khuong, 2012. "On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness," Energy Economics, Elsevier, vol. 34(2), pages 611-617.
    7. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," Econometric Institute Research Papers EI 2010-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Lv, Xin & Lien, Donald & Yu, Chang, 2020. "Who affects who? Oil price against the stock return of oil-related companies: Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 85-100.
    9. Antonakakis, Nikolaos & Cunado, Juncal & Filis, George & Gabauer, David & Perez de Gracia, Fernando, 2018. "Oil volatility, oil and gas firms and portfolio diversification," Energy Economics, Elsevier, vol. 70(C), pages 499-515.
    10. Šoba, Oldřich & Širůček, Martin & Havíř, Tomáš, 2013. "Závislost cen akcií ropných společností na ceně ropy [The dependence of oil company's stock price on oil price]," MPRA Paper 62899, University Library of Munich, Germany, revised 2013.
    11. Antonio Garcia-Amate & Laura Molero-González & Miguel Angel Sánchez-Granero & Juan Evangelista Trinidad-Segovia & Andres García-Medina, 2024. "Testing the significance of pricing factors of oil and gas companies," PLOS ONE, Public Library of Science, vol. 19(12), pages 1-18, December.
    12. Muhammad Irfan Malik & Abdul Rashid, 2017. "Return And Volatility Spillover Between Sectoral Stock And Oil Price: Evidence From Pakistan Stock Exchange," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-22, June.
    13. Mo, Di & Gupta, Rakesh & Li, Bin & Singh, Tarlok, 2018. "The macroeconomic determinants of commodity futures volatility: Evidence from Chinese and Indian markets," Economic Modelling, Elsevier, vol. 70(C), pages 543-560.
    14. Zhifang He & Jiaqi Chen & Fangzhao Zhou & Guoqing Zhang & Fenghua Wen, 2022. "Oil price uncertainty and the risk‐return relation in stock markets: Evidence from oil‐importing and oil‐exporting countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1154-1172, January.
    15. Su, Chi-Wei & Huang, Shi-Wen & Qin, Meng & Umar, Muhammad, 2021. "Does crude oil price stimulate economic policy uncertainty in BRICS?," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    16. Thuraisamy, Kannan S. & Sharma, Susan Sunila & Ali Ahmed, Huson Joher, 2013. "The relationship between Asian equity and commodity futures markets," Journal of Asian Economics, Elsevier, vol. 28(C), pages 67-75.
    17. Borg, Elin & Kits, Ilya & Junttila, Juha & Uddin, Gazi Salah, 2022. "Dependence between renewable energy related critical metal futures and producer equity markets across varying market conditions," Renewable Energy, Elsevier, vol. 190(C), pages 879-892.

  223. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CARF F-Series CARF-F-163, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH," Econometric Institute Research Papers EI 2010-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "The impact of oil price shocks on stock market activities: Asymmetric effect with quantile regression," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(9), pages 1910-1920.

  224. Joseph Macri & Michael McAleer & Dipendra Sinha, 2009. "On the Robustness of Alternative Rankings Methodologies For Australian and New Zealand Economics Departments," CIRJE F-Series CIRJE-F-660, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. David L. Anderson & John Tressler, 2009. "The Excellence in Research for Australia Scheme: An Evaluation of the Draft Journal Weights for Economics," Working Papers in Economics 09/07, University of Waikato.
    2. David L. Anderson & John Tressler, 2009. "The ‘Excellence in Research for Australia’ Scheme: A Test Drive of Draft Journal Weights with New Zealand Data," Agenda - A Journal of Policy Analysis and Reform, Australian National University, College of Business and Economics, School of Economics, vol. 16(4), pages 7-24.

  225. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CARF F-Series CARF-F-171, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.

  226. Shiqing Ling & Michael McAleer, 2009. "A General Asymptotic Theory for Time Series Models," CIRJE F-Series CIRJE-F-670, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Caporin, Massimiliano & Rossi, Eduardo & Santucci de Magistris, Paolo, 2017. "Chasing volatility," Journal of Econometrics, Elsevier, vol. 198(1), pages 122-145.
    2. Zihan Wang & Xinghao Qiao & Dong Li & Howell Tong, 2025. "On a new robust method of inference for general time series models," Papers 2503.08655, arXiv.org.
    3. Zhu, Ke & Ling, Shiqing, 2014. "LADE-based inference for ARMA models with unspecified and heavy-tailed heteroscedastic noises," MPRA Paper 59099, University Library of Munich, Germany.
    4. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    5. Song, Junmo & Oh, Dong-hyun & Kang, Jiwon, 2017. "Robust estimation in stochastic frontier models," Computational Statistics & Data Analysis, Elsevier, vol. 105(C), pages 243-267.
    6. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
    7. Poloni, Federico & Sbrana, Giacomo, 2019. "Closed-form results for vector moving average models with a univariate estimation approach," Econometrics and Statistics, Elsevier, vol. 10(C), pages 27-52.
    8. Christian Francq & Jean-Michel Zakoïan, 2011. "Estimating the Marginal Law of a Time Series with Applications to Heavy Tailed Distributions," Working Papers 2011-30, Center for Research in Economics and Statistics.
    9. Mawuli Segnon, 2022. "Strict stationarity of Poisson integer-valued ARCH processes of order infinity," CQE Working Papers 10222, Center for Quantitative Economics (CQE), University of Muenster.
    10. Poloni, Federico & Sbrana, Giacomo, 2015. "A note on forecasting demand using the multivariate exponential smoothing framework," International Journal of Production Economics, Elsevier, vol. 162(C), pages 143-150.

  227. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CARF F-Series CARF-F-158, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    4. Mateusz Buczyński & Marcin Chlebus, 2017. "Is CAViaR model really so good in Value at Risk forecasting? Evidence from evaluation of a quality of Value-at-Risk forecasts obtained based on the: GARCH(1,1), GARCH-t(1,1), GARCH-st(1,1), QML-GARCH(1,1), CAViaR and the historical simulation models ," Working Papers 2017-29, Faculty of Economic Sciences, University of Warsaw.
    5. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    6. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Michael McAleer & Juan-Ángel Jiménez-Martín & Teodosio Pérez-Amaral, 2011. "International Evidence on GFC-robust Forecasts for Risk Management under the Basel Accord," Working Papers in Economics 11/05, University of Canterbury, Department of Economics and Finance.
    8. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    9. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    10. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
    11. Costa Cabral, Nazare, 2010. "Breve guia temático e bibliográfico sobre o estudo da actual crise financeira e económica [Short thematic guide to the study of current financial and economic crisis]," MPRA Paper 20743, University Library of Munich, Germany.
    12. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," Econometric Institute Research Papers EI 2009-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," CARF F-Series CARF-F-164, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    14. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. Chen, C.W.S. & Gerlach, R. & Hwang, B.B.K. & McAleer, M.J., 2011. "Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intraday Range," Econometric Institute Research Papers EI 2011-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Buczyński Mateusz & Chlebus Marcin, 2018. "Comparison of Semi-Parametric and Benchmark Value-At-Risk Models in Several Time Periods with Different Volatility Levels," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(2), pages 67-82, June.

  228. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.

  229. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer, 2009. "A Panel Threshold Model of Tourism Specialization and Economic Development," CARF F-Series CARF-F-188, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    2. Taotao Deng & Mulan Ma & Shuai Shao, 2014. "Research Note: Has International Tourism Promoted Economic Growth in China? A Panel Threshold Regression Approach," Tourism Economics, , vol. 20(4), pages 911-917, August.
    3. Seda Karagozzeren, 2018. "A Determination of number of arriving tourists and night spent in accommodation relations with economic growth: The case of Turkey," Prizren Social Science Journal, SHIKS, vol. 2(2), pages 210-224, December.
    4. Balsalobre-Lorente, Daniel & Driha, Oana M. & Sinha, Avik, 2020. "The dynamic effects of globalization process in analysing N-shaped tourism led growth hypothesis," MPRA Paper 100078, University Library of Munich, Germany.
    5. Ronald Kumar, 2014. "Exploring the nexus between tourism, remittances and growth in Kenya," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1573-1588, May.
    6. Andrew Phiri, 2016. "Tourism and Economic Growth in South Africa: Evidence from Linear and Nonlinear Cointegration Frameworks," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 14(1 (Spring), pages 31-53.
    7. Andrey Aistov & Tatiana Nikolaeva, 2019. "Tourism-led growth hypothesis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 5-24.
    8. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    9. Antonakakis, Nikolaos & Dragouni, Mina & Eeckels, Bruno & Filis, George, 2016. "Tourism and economic growth: Does democracy matter?," Annals of Tourism Research, Elsevier, vol. 61(C), pages 258-264.
    10. Mahalia Jackman, 2014. "Output Volatility and Tourism Specialization in Small Island Developing States," Tourism Economics, , vol. 20(3), pages 527-544, June.
    11. Taha Chaiechi & Josephine Pryce & Abhishek Bhati, 2015. "Research Note: Macroeconomic Impacts of the Tourism Industry and the Contemporaneous Feedback Effect — An Australian Case Study," Tourism Economics, , vol. 21(3), pages 685-696, June.
    12. Younesse El Menyari, 2017. "International tourism and long-term economic growth: Analysis by heterogeneous dynamic panel data," Tourism Research Institute, Journal of Tourism Research, vol. 18(1), pages 134-147, November.
    13. Jun Zhang & Li Cheng, 2019. "Threshold Effect of Tourism Development on Economic Growth Following a Disaster Shock: Evidence from the Wenchuan Earthquake, P.R. China," Sustainability, MDPI, vol. 11(2), pages 1-22, January.
    14. Victor Moutinho, 2015. "Is there Convergence and Causality between the Drivers of Energy-Related Carbon Dioxide Emissions among the Portuguese Tourism Industry?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 828-840.
    15. Ronald Kumar & Nanthakumar Loganathan & Arvind Patel & Radika Kumar, 2015. "Nexus between tourism earnings and economic growth: a study of Malaysia," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1101-1120, May.
    16. Wu, Rongxin & Lin, Boqiang, 2021. "Does industrial agglomeration improve effective energy service: An empirical study of China’s iron and steel industry," Applied Energy, Elsevier, vol. 295(C).
    17. Ronald Kumar, 2014. "Exploring the role of technology, tourism and financial development: an empirical study of Vietnam," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2881-2898, September.
    18. Raifu, Isiaka & Adeboje, Oluwafemi & Obijole, Emmanuel, 2026. "Testing Asymmetric Unemployment Invariance Hypothesis in Africa: Evidence from Non-Dynamic and Dynamic Panel Threshold Methods," MPRA Paper 127570, University Library of Munich, Germany.
    19. Shahbaz, Muhammad & Kumar, Ronald Ravinesh & Ivanov, Stanislav & Loganathan, Nanthakumar, 2015. "Nexus between Tourism demand and output per capita with relative importance of trade and financial development: A study of Malaysia," MPRA Paper 67226, University Library of Munich, Germany, revised 11 Oct 2015.
    20. Célia M.Q. Ramos & Paulo M.M. Rodrigues, 2013. "Research Note: The Importance of Online Tourism Demand," Tourism Economics, , vol. 19(6), pages 1443-1447, December.
    21. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Nikeel Kumar & Syed Jawad Hussain Shahzad, 2019. "Exploring the effect of ICT and tourism on economic growth: a study of Israel," Economic Change and Restructuring, Springer, vol. 52(3), pages 221-254, August.
    22. Antonakakis, Nikos & Dragouni, Mina & Eeckels, Bruno & Filis, George, 2015. "Tourism and economic growth revisited: Empirical evidence from a Panel VAR approach," MPRA Paper 67419, University Library of Munich, Germany.

  230. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CARF F-Series CARF-F-178, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Berger, T. & Missong, M., 2014. "Financial crisis, Value-at-Risk forecasts and the puzzle of dependency modeling," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 33-38.

  231. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Modelling Conditional Correlations for Risk Diversification in Crude Oil Markets," CARF F-Series CARF-F-162, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Working Papers 2012.23, Fondazione Eni Enrico Mattei.
    2. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH," Econometric Institute Research Papers EI 2010-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    5. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    6. Jin, Xiaoye & Xiaowen Lin, Sharon & Tamvakis, Michael, 2012. "Volatility transmission and volatility impulse response functions in crude oil markets," Energy Economics, Elsevier, vol. 34(6), pages 2125-2134.
    7. Halkos, George & Tsirivis, Apostolos, 2019. "Using Value-at-Risk for effective energy portfolio risk management," MPRA Paper 91674, University Library of Munich, Germany.
    8. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 234-250.
    11. Georgios Charalampous & Reinhard Madlener, 2013. "Risk Management and Portfolio Optimization for Gas- and Coal-fired Power Plants in Germany: A Multivariate GARCH Approach," FCN Working Papers 23/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    12. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
    13. Lu, Jin-Ray & Lee, Pei-Hsuan & Chuang, I-Yuan, 2011. "Estimation of oil firm's systematic risk via composite time-varying models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2389-2399.
    14. Chang, Kuang-Liang, 2012. "Volatility regimes, asymmetric basis effects and forecasting performance: An empirical investigation of the WTI crude oil futures market," Energy Economics, Elsevier, vol. 34(1), pages 294-306.

  232. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Umar, Zaghum & Yousaf, Imran & Gubareva, Mariya & Vo, Xuan Vinh, 2022. "Spillover and risk transmission between the term structure of the US interest rates and Islamic equities," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    2. Beirne, John & Gieck, Jana, 2012. "Interdependence and contagion in global asset markets," Working Paper Series 1480, European Central Bank.
    3. Sadorsky, Perry, 2014. "Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat," Energy Economics, Elsevier, vol. 43(C), pages 72-81.
    4. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2015. "Volatility transmission in global financial markets," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 3-18.
    5. JingJing (Justine) Wang & John S. Croucher, 2021. "Information linkages among National, NSW, VIC, and QLD real estate markets in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 3207-3234, June.
    6. Neda Todorova & Michael Soucek & Eduardo Roca, 2015. "Volatility spillovers from international commodity markets to the Australian equity market," Discussion Papers in Finance finance:201505, Griffith University, Department of Accounting, Finance and Economics.
    7. Pami Dua & Divya Tuteja, 2013. "Interdependence Of International Financial Market-- The Case Of India And U.S," Working papers 223, Centre for Development Economics, Delhi School of Economics.
    8. Conrad, Christian & Weber, Enzo, 2013. "Measuring Persistence in Volatility Spillovers," Working Papers 0543, University of Heidelberg, Department of Economics.
    9. Hakim, M.S. & McAleer, M.J., 2009. "Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence," Econometric Institute Research Papers EI 2009-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Ngene, Geoffrey M. & Lee Kim, Yea & Wang, Jinghua, 2019. "Who poisons the pool? Time-varying asymmetric and nonlinear causal inference between low-risk and high-risk bonds markets," Economic Modelling, Elsevier, vol. 81(C), pages 136-147.
    11. Huang, Shian-Chang, 2011. "Wavelet-based multi-resolution GARCH model for financial spillover effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2529-2539.
    12. Syed Abul, Basher & Perry, Sadorsky, 2015. "Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCH," MPRA Paper 68231, University Library of Munich, Germany.
    13. Kumar, Satish & Pradhan, Ashis Kumar & Tiwari, Aviral Kumar & Kang, Sang Hoon, 2019. "Correlations and volatility spillovers between oil, natural gas, and stock prices in India," Resources Policy, Elsevier, vol. 62(C), pages 282-291.
    14. Wu, Chih-Chiang & Chen, Wei-Peng & Korsakul, Nattawadee, 2021. "Extreme linkages between foreign exchange and general financial markets," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    15. Suparna Nandy (Pal) & Arup Kr. Chattopadhyay, 2019. "‘Indian Stock Market Volatility’: A Study of Inter-linkages and Spillover Effects," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(2_suppl), pages 183-212, August.
    16. Pami Dua & Divya Tuteja, 2016. "Linkages between Indian and US financial markets: impact of global financial crisis and Eurozone debt crisis," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(3), pages 217-240, September.
    17. Aboura, Sofiane & Chevallier, Julien, 2015. "Volatility returns with vengeance: Financial markets vs. commodities," Research in International Business and Finance, Elsevier, vol. 33(C), pages 334-354.
    18. Lin Mi & Allan Hodgson, 2018. "Real estate's information and volatility links with stock, bond and money markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 465-491, November.
    19. Chen, Bin-xia & Sun, Yan-lin, 2024. "Financial market connectedness between the U.S. and China: A new perspective based on non-linear causality networks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    20. Ashley Ding, 2019. "Information and volatility linkages across energy and financial markets," Australian Journal of Management, Australian School of Business, vol. 44(4), pages 594-613, November.

  233. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," CARF F-Series CARF-F-155, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Chen, Cathy W.S. & Gerlach, Richard & Hwang, Bruce B.K. & McAleer, Michael, 2012. "Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range," International Journal of Forecasting, Elsevier, vol. 28(3), pages 557-574.
    2. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

  234. Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," CARF F-Series CARF-F-164, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Hammoudeh, S.M. & Malik, F. & McAleer, M.J., 2010. "Risk management of precious metals," Econometric Institute Research Papers EI 2010-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    5. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    6. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    7. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    10. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.
    11. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    12. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    13. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    14. Santos, André A. P. & Nogales, Francisco J. & Ruiz Ortega, Esther, 2009. "Comparing univariate and multivariate models to forecast portfolio value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws097222, Universidad Carlos III de Madrid. Departamento de Estadística.
    15. Simone Varotto, 2011. "Liquidity Risk, Credit Risk, Market Risk and Bank Capital," ICMA Centre Discussion Papers in Finance icma-dp2011-02, Henley Business School, University of Reading.
    16. Alessandro Avellone & Ilaria Foroni & Chiara Pederzoli, 2025. "Minimum capital requirement portfolios according to the new Basel framework for market risk," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 39(2), pages 171-192, June.
    17. Seixas, Mário & Barbosa, António, 2019. "Optimal Value-at-Risk Disclosure," MPRA Paper 97526, University Library of Munich, Germany.
    18. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," Econometric Institute Research Papers EI 2009-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Jose Angelo Divino & Michael McAleer, 2009. "Modelling the Growth and Volatility in Daily International Mass Tourism to Peru," Documentos de Trabajo del ICAE 2009-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    20. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    21. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    23. Allen, David & Lizieri, Colin & Satchell, Stephen, 2020. "A comparison of non-Gaussian VaR estimation and portfolio construction techniques," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 356-368.
    24. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    25. Jose Angelo Divino & Michael McAleer, 2009. "Modelling and Forecasting Daily International Mass Tourism to Peru," CIRJE F-Series CIRJE-F-651, CIRJE, Faculty of Economics, University of Tokyo.
    26. Chia-Lin Chang & Lydia González-Serrano & Juan-Ángel Jiménez-Martín, 2012. "Currency Hedging Strategies Using Dynamic Multivariate GARCH," Documentos de Trabajo del ICAE 2012-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Feb 2012.
    27. Douglas da Rosa München & Herbert Kimura, 2020. "Regulatory Banking Leverage: what do you know?," Working Papers Series 540, Central Bank of Brazil, Research Department.
    28. Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2015. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Tinbergen Institute Discussion Papers 15-140/III, Tinbergen Institute, revised 19 Apr 2017.
    29. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    30. Williams, Barry, 2016. "The impact of non-interest income on bank risk in Australia," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 16-37.
    31. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    32. Wang Yu-Jen & Chung Huimin & Guo Jia-Hau, 2013. "A value-at-risk analysis of carry trades using skew-GARCH models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 439-459, September.
    33. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.

  235. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    4. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    5. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Santos, André A.P. & Nogales, Francisco J. & Ruiz, Esther & Dijk, Dick Van, 2012. "Optimal portfolios with minimum capital requirements," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1928-1942.
    7. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    8. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    9. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    10. Shawkat Hammoudeh & Farooq Malik & Michael McAleer, 2010. "Risk Management of Precious Metals," Working Papers in Economics 10/37, University of Canterbury, Department of Economics and Finance.
    11. Kaihua Deng, 2015. "Predicting By Learning: An Adaptive Rationale," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-14, December.
    12. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," Econometric Institute Research Papers EI 2009-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," CARF F-Series CARF-F-164, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    14. Michael McAleer & Juan-Ángel Jiménez-Martín & Teodosio Pérez-Amaral, 2013. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Tinbergen Institute Discussion Papers 13-010/III, Tinbergen Institute.
    15. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    16. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    18. Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015. "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers EI2015-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Juan-Angel Jimenez-Martin & Michael McAleer & Teodosio Pérez-Amaral, 2009. "The Ten Commandments for Managing Value-at-Risk Under the Basel II Accord," Documentos de Trabajo del ICAE 2009-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    20. Sinha, Pankaj & Agnihotri, Shalini, 2014. "Sensitivity of Value at Risk estimation to NonNormality of returns and Market capitalization," MPRA Paper 56307, University Library of Munich, Germany, revised 26 May 2014.
    21. Liu, Xiaochun, 2017. "An integrated macro-financial risk-based approach to the stressed capital requirement," Review of Financial Economics, Elsevier, vol. 34(C), pages 86-98.
    22. James Ming Chen, 2018. "On Exactitude in Financial Regulation: Value-at-Risk, Expected Shortfall, and Expectiles," Risks, MDPI, vol. 6(2), pages 1-28, June.

  236. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Medeiros, Marcelo C. & McAleer, Michael & Slottje, Daniel & Ramos, Vicente & Rey-Maquieira, Javier, 2008. "An alternative approach to estimating demand: Neural network regression with conditional volatility for high frequency air passenger arrivals," Journal of Econometrics, Elsevier, vol. 147(2), pages 372-383, December.
    2. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.

  237. Chang, C-L. & Franses, Ph.H.B.F. & McAleer, M.J., 2009. "How Accurate are Government Forecast of Economic Fundamentals?," Econometric Institute Research Papers EI 2009-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jeffrey Frankel, 2011. "A Solution to Fiscal Procyclicality: The Structural Budget Institutions Pioneered by Chile," CID Working Papers 216, Center for International Development at Harvard University.
    2. Frankel, Jeffrey A., 2011. "A Solution to Overoptimistic Forecasts and Fiscal Procyclicality: The Structural Budget Institutions Pioneered by Chile," Scholarly Articles 4723209, Harvard Kennedy School of Government.

  238. Jose Angelo Divino & Michael McAleer, 2009. "Modelling and Forecasting Daily International Mass Tourism to Peru," CIRJE F-Series CIRJE-F-651, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chien‐Chiang Lee & Mei‐Ping Chen & Wei Xu, 2022. "Assessing the impacts of formal and informal regulations on ecological footprint," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 989-1017, October.
    3. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
    4. Nguyen, Quang Hai, 2024. "Modeling the volatility of international air freight: A case study of Singapore using the SARIMAX-EGARCH model," Journal of Air Transport Management, Elsevier, vol. 117(C).
    5. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    6. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    7. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    8. Zheng, Weimin & Huang, Liyao & Lin, Zhibin, 2021. "Multi-attraction, hourly tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 90(C).
    9. Apostolos Ampountolas, 2021. "Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models," Forecasting, MDPI, vol. 3(3), pages 1-16, August.
    10. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2009. "How Volatile is ENSO?," CIRJE F-Series CIRJE-F-635, CIRJE, Faculty of Economics, University of Tokyo.
    11. Komkrit Wongkhae & Songsak Sriboonchitta & Kanchana Choketaworn & Chukiat Chaiboonsri, 2012. "Does price matter? The FMOLS and DOLS estimation of industrial countries tourists outbound to four ASEAN countries," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(4), pages 107-128, December.
    12. Gizem Uzuner & Sudeshna Ghosh, 2021. "Do pandemics have an asymmetric effect on tourism in Italy?," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1561-1579, October.
    13. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    14. Miguel Angel Ruiz Palacios & Cristiana Pereira Texeira de Oliveira & José Serrano González & Soledad Saénz Flores, 2021. "Analysis of Tourist Systems Predictive Models Applied to Growing Sun and Beach Tourist Destination," Sustainability, MDPI, vol. 13(2), pages 1-24, January.
    15. Eden Xiaoying Jiao & Jason Li Chen, 2019. "Tourism forecasting: A review of methodological developments over the last decade," Tourism Economics, , vol. 25(3), pages 469-492, May.
    16. Wai Hong Kan Tsui & Faruk Balli, 2017. "International arrivals forecasting for Australian airports and the impact of tourism marketing expenditure," Tourism Economics, , vol. 23(2), pages 403-428, March.
    17. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao, 2024. "Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model," Tourism Economics, , vol. 30(2), pages 361-388, March.
    18. Bichaka Fayissa & Christian Nsiah & Bedassa Tadesse, 2011. "Research Note: Tourism and Economic Growth in Latin American Countries – Further Empirical Evidence," Tourism Economics, , vol. 17(6), pages 1365-1373, December.
    19. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.
    20. Chien-Chiang Lee & Mei-Ping Chen & Wenmin Wu & Wenwu Xing, 2021. "The impacts of ICTs on tourism development: International evidence based on a panel quantile approach," Information Technology & Tourism, Springer, vol. 23(4), pages 509-547, December.
    21. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.

  239. Michael McAleer & Marcelo C. Medeiros, 2009. "Forecasting Realized Volatility with Linear and Nonlinear Models," CARF F-Series CARF-F-189, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Villalba-Padilla, Fátima Irina & Flores-Ortega, Miguel, 2012. "Capacidad de predicción de los modelos GARCH simétricos aplicados a variables financieras de México 2001-2011," eseconomía, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(34), pages 81-124, segundo t.

  240. Abdul Hakim & Michael McAleer, 2009. "Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence," CARF F-Series CARF-F-179, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Pami Dua & Divya Tuteja, 2013. "Interdependence Of International Financial Market-- The Case Of India And U.S," Working papers 223, Centre for Development Economics, Delhi School of Economics.

  241. Chia-Lin Chang & Michael McAleer, 2009. "Daily Tourist Arrivals, Exchange Rates and Volatility for Korea and Taiwan," CARF F-Series CARF-F-192, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    2. Yaovarate Chaovanapoonphol & Christine Lim & Michael McAleer & Aree Wiboonpongse, 2010. "Time Series Modelling of Tourism Demand from the USA, Japan and Malaysia to Thailand," CIRJE F-Series CIRJE-F-722, CIRJE, Faculty of Economics, University of Tokyo.
    3. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    4. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    5. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Cheong Kin Wan & Jen Sim Ho, 2022. "Effects of Multiple Financial News Shocks on Tourism Demand Volatility Modelling and Forecasting," JRFM, MDPI, vol. 15(7), pages 1-47, June.
    6. Agiomirgianakis, George & Serenis, Dimitrios & Tsounis, Nicholas, 2017. "Effective timing of tourism policy: The case of Singapore," Economic Modelling, Elsevier, vol. 60(C), pages 29-38.
    7. Mariti, Massimo B. & Gonçalves Mazzeu, Joao Henrique & Veiga, Helena, 2017. "Modeling and forecasting the oil volatility index," DES - Working Papers. Statistics and Econometrics. WS 25985, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Chhorn, Theara & Chaiboonsri, Chukiat, 2017. "Modelling and Forecasting Tourist Arrivals to Cambodia: An Application of ARIMA-GARCH Approach," MPRA Paper 83942, University Library of Munich, Germany, revised 27 Dec 2017.
    9. Sangram Keshari JENA & Aruna Kumar DASH, 2020. "Does Exchange Rate Volatility Affect Tourist Arrival In India: A Quantile Regression Approach," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 20(2), pages 65-78.
    10. Akhil Sharma & Tarun Vashishat & Abdul Rishad, 2019. "The consequences of exchange rate trends on international tourism demand: evidence from India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(2), pages 270-287, December.

  242. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    2. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J. & Thompson, M.A., 2009. "Precious Metals-Exchange Rate Volatility Transmissions and Hedging Strategies," Econometric Institute Research Papers EI 2009-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH," Econometric Institute Research Papers EI 2010-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    6. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    8. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2011. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," Documentos de Trabajo del ICAE 2011-34, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    9. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Exchange Rate and Industrial Commodity Volatility Transmissions and Hedging Strategies," CIRJE F-Series CIRJE-F-668, CIRJE, Faculty of Economics, University of Tokyo.
    10. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    11. John Francis T. Diaz, 2018. "Volatility Dynamics in the ASEAN– China Free Trade Agreement," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(3), pages 287-306, December.
    12. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    13. Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
    14. Massimiliano Caporin & Michael McAleer, 2010. "Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models," CIRJE F-Series CIRJE-F-713, CIRJE, Faculty of Economics, University of Tokyo.
    15. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    17. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    18. David C Broadstock & Hong Cao & Dayong Zhang, 2012. "Oil Shocks and their Impact on Energy Related Stocks in China," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 137, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    19. Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," CARF F-Series CARF-F-164, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    20. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
    21. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    22. Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
    23. Hakim, M.S. & McAleer, M.J., 2009. "Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence," Econometric Institute Research Papers EI 2009-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Walid Mensi & Shawkat Hammoudeh & Duc Khuong Nguyen & Seong-Min Yoon, 2014. "Dynamic spillovers among major energy and cereal commodity prices," Working Papers 2014-160, Department of Research, Ipag Business School.
    26. M. Angeles Carnero Fernández & M. Hakan Eratalay, 2012. "Estimating VAR-MGARCH models in multiple steps," Working Papers. Serie AD 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    27. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Awartani, Basel & Maghyereh, Aktham Issa, 2013. "Dynamic spillovers between oil and stock markets in the Gulf Cooperation Council Countries," Energy Economics, Elsevier, vol. 36(C), pages 28-42.
    30. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    31. Weiping Li & Wenwen Liu, 2021. "Investor sentiment‐styled index in index futures market," Review of Financial Economics, John Wiley & Sons, vol. 39(1), pages 51-72, January.
    32. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  243. Chia-Lin Chang & Michael McAleer & Dan Slottje, 2009. "Modelling International Tourist Arrivals and Volatility: An Application to Taiwan," "Marco Fanno" Working Papers 0097, Dipartimento di Scienze Economiche "Marco Fanno".

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Yaovarate Chaovanapoonphol & Christine Lim & Michael McAleer & Aree Wiboonpongse, 2010. "Time Series Modelling of Tourism Demand from the USA, Japan and Malaysia to Thailand," CIRJE F-Series CIRJE-F-722, CIRJE, Faculty of Economics, University of Tokyo.
    3. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    4. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    5. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    6. Chhorn, Theara & Chaiboonsri, Chukiat, 2017. "Modelling and Forecasting Tourist Arrivals to Cambodia: An Application of ARIMA-GARCH Approach," MPRA Paper 83942, University Library of Munich, Germany, revised 27 Dec 2017.
    7. Chang, Chia-Yu & Dinh, Tran Ngoc Huy & Benjamin, Pekaric, 2010. "Should SA Tour, A Singapore Travel company, Use External financing to Expand the MICE business in the China and Singapore markets?," MPRA Paper 27549, University Library of Munich, Germany, revised 12 Dec 2010.

  244. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CARF F-Series CARF-F-167, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

    Cited by:

    1. Siem Jan Koopman & Marcel Scharth, 2011. "The Analysis of Stochastic Volatility in the Presence of Daily Realised Measures," Tinbergen Institute Discussion Papers 11-132/4, Tinbergen Institute.

  245. Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Expert opinion versus expertise in forecasting," Econometric Institute Research Papers EI 2008-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & Bert de Bruijn & Philip Hans Franses & Michael McAleer, 2013. "Analyzing Fixed-event Forecast Revisions," Documentos de Trabajo del ICAE 2013-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2013.
    2. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    3. Chia-Lin Chang & Michael McAleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 13/10, University of Canterbury, Department of Economics and Finance.
    4. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Are Forecast Updates Progressive?," Working Papers in Economics 10/12, University of Canterbury, Department of Economics and Finance.
    5. Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Does the ROMC have expertise, and can it forecast?," Econometric Institute Research Papers EI 2008-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Chia-Lin Chang & Michael McAleer, 2012. "What do Experts Know About Ranking Journal Quality? A Comparison with ISI Research Impact in Finance," Working Papers in Economics 12/02, University of Canterbury, Department of Economics and Finance.
    7. Franses, Ph.H.B.F., 2009. "Forecasting Sales," Econometric Institute Research Papers EI 2009-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2010. "Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments," CIRJE F-Series CIRJE-F-729, CIRJE, Faculty of Economics, University of Tokyo.
    9. Egor Griva & Irina Butorina & Anatoly Sidorov & Pavel Senchenko, 2022. "Analysis and Forecasting of Sales Funnels," Mathematics, MDPI, vol. 11(1), pages 1-22, December.
    10. Franses, Ph.H.B.F., 2010. "Decomposing bias in expert forecast," Econometric Institute Research Papers EI 2010-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2011. "Evaluating Individual and Mean Non-Replicable Forecasts," Documentos de Trabajo del ICAE 2011-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    12. Chang, C-L. & Franses, Ph.H.B.F. & McAleer, M.J., 2010. "Evaluating Combined Non-Replicable Forecast," Econometric Institute Research Papers EI 2010-74, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.
    14. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2014. "Evaluating Macroeconomic Forecasts: A Concise Review Of Some Recent Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 195-208, April.
    15. Franses, Philip Hans, 2013. "Improving judgmental adjustment of model-based forecasts," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 1-8.
    16. Philip Hans Franses, 2011. "Averaging Model Forecasts and Expert Forecasts: Why Does It Work?," Interfaces, INFORMS, vol. 41(2), pages 177-181, April.
    17. Chang, C-L. & Franses, Ph.H.B.F. & McAleer, M.J., 2009. "How Accurate are Government Forecast of Economic Fundamentals?," Econometric Institute Research Papers EI 2009-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  246. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    3. Ulrich Gunter & Alexandre Panosso Netto, 2016. "International travel to and from Brazil – Overseas tourism as a luxury good and a status symbol," Tourism Economics, , vol. 22(5), pages 1151-1160, October.
    4. Chia-Lin Chang & Michael McAleer & Dan Slottje, 2009. "Modelling International Tourist Arrivals and Volatility: An Application to Taiwan," Documentos de Trabajo del ICAE 2009-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Chia-Lin Chang & Michael McAleer, 2011. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," Documentos de Trabajo del ICAE 2011-13, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Jose Angelo Divino & Michael McAleer, 2009. "Modelling and Forecasting Daily International Mass Tourism to Peru," CIRJE F-Series CIRJE-F-651, CIRJE, Faculty of Economics, University of Tokyo.
    7. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    8. Joana Carlos Bezerra & Jan Sindt & Lukas Giessen, 2018. "The rational design of regional regimes: contrasting Amazonian, Central African and Pan-European Forest Governance," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 18(5), pages 635-656, October.

  247. Areosa, W.D. & McAleer, M.J. & Medeiros, M.C., 2008. "Moment-bases estimation of smooth transition regression models with endogenous variables," Econometric Institute Research Papers EI 2008-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kunitomo, N. & McAleer, M.J. & Nishiyama, Y., 2010. "Moment Restriction-based Econometric Methods: An Overview," Econometric Institute Research Papers EI 2010-61, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Massacci, Daniele, 2013. "A variable addition test for exogeneity in structural threshold models," Economics Letters, Elsevier, vol. 120(1), pages 5-9.
    3. Asai, Manabu & Brugal, Ivan, 2013. "Forecasting volatility via stock return, range, trading volume and spillover effects: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 202-213.
    4. Phiri, Andrew, 2015. "Examining asymmetric effects in the South African Philips curve: Evidence from logistic smooth transition regression (LSTR) models," MPRA Paper 64487, University Library of Munich, Germany.
    5. Otilia Boldea & Alastair R. Hall, 2013. "Testing structural stability in macroeconometric models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 9, pages 206-228, Edward Elgar Publishing.
    6. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    7. Olivier Damette, 2016. "Mixture distribution hypothesis and the impact of a Tobin tax on exchange rate volatility : a reassessment," Post-Print hal-01601393, HAL.
    8. Mário Jorge Mendonça & Adolfo Sachsida, 2012. "Inflação Versus Desemprego: Novas Evidências Para o Brasil," Discussion Papers 1763, Instituto de Pesquisa Econômica Aplicada - IPEA.
    9. Line Elvstrøm Ekner & Emil Nejstgaard, 2013. "Parameter Identification in the Logistic STAR Model," Discussion Papers 13-07, University of Copenhagen. Department of Economics.
    10. Ricardo Masini & Marcelo Medeiros, 2025. "Balancing Flexibility and Interpretability: A Conditional Linear Model Estimation via Random Forest," Papers 2502.13438, arXiv.org.
    11. Sachsida, Adolfo, 2013. "Inflação, Desemprego e Choques Cambiais: Uma Revisão da Literatura sobre a Curva de Phillips no Brasil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(4), November.
    12. Massacci, Daniele, 2012. "A simple test for linearity against exponential smooth transition models with endogenous variables," Economics Letters, Elsevier, vol. 117(3), pages 851-856.
    13. Hillebrand Eric & Medeiros Marcelo C. & Xu Junyue, 2013. "Asymptotic Theory for Regressions with Smoothly Changing Parameters," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 133-162, April.
    14. Donald W.K. Andrews & Xu Cheng, 2011. "GMM Estimation and Uniform Subvector Inference with Possible Identification Failure," Cowles Foundation Discussion Papers 1828, Cowles Foundation for Research in Economics, Yale University, revised Jan 2013.
    15. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.

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  251. Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.

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    2. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    3. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
    4. Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
    5. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    6. Koopman, Siem Jan & Shephard, Neil & Creal, Drew, 2009. "Testing the assumptions behind importance sampling," Journal of Econometrics, Elsevier, vol. 149(1), pages 2-11, April.
    7. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," Tinbergen Institute Discussion Papers 13-003/III, Tinbergen Institute.
    8. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.
    9. Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
    10. Da Fonseca José & Grasselli Martino & Ielpo Florian, 2014. "Estimating the Wishart Affine Stochastic Correlation Model using the empirical characteristic function," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(3), pages 253-289, May.
    11. João Caldeira & Guilherme Moura & André A.P. Santos, 2012. "Portfolio optimization using a parsimonious multivariate GARCH model: application to the Brazilian stock market," Economics Bulletin, AccessEcon, vol. 32(3), pages 1848-1857.
    12. León Beleña & Ernesto Curbelo & Luca Martino & Valero Laparra, 2024. "Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation," Mathematics, MDPI, vol. 12(9), pages 1-15, May.
    13. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    14. Casas, Isabel & Gao, Jiti, 2008. "Econometric estimation in long-range dependent volatility models: Theory and practice," Journal of Econometrics, Elsevier, vol. 147(1), pages 72-83, November.
    15. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    16. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    18. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.
    20. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    21. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    22. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    23. Pop, Raluca Elena, 2012. "Herd behavior towards the market index: evidence from Romanian stock exchange," MPRA Paper 51595, University Library of Munich, Germany.
    24. Gregory Bauer & Keith Vorkink, 2007. "Multivariate Realized Stock Market Volatility," Staff Working Papers 07-20, Bank of Canada.
    25. G.K., Chetan Kumar & K.B., Rangappa & S., Suchitra, 2022. "Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model," MPRA Paper 114027, University Library of Munich, Germany.
    26. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    27. Benjamin Poignard & Manabu Asaiz, 2020. "A Penalised OLS Framework for High-Dimensional Multivariate Stochastic Volatility Models," Discussion Papers in Economics and Business 20-02, Osaka University, Graduate School of Economics.
    28. Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015. "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, vol. 12(C), pages 2-10.
    29. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    30. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    31. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    32. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    33. Christian Hafner & Philip Hans Franses, 2009. "A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 612-631.
    34. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    35. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility using state space models," Papers 0802.0223, arXiv.org.
    36. Asai, Manabu & Brugal, Ivan, 2013. "Forecasting volatility via stock return, range, trading volume and spillover effects: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 202-213.
    37. Adriano Zanin Zambom & Seonjin Kim & Nancy Lopes Garcia, 2022. "Variable length Markov chain with exogenous covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 312-328, March.
    38. Sujay Mukhoti & Pritam Ranjan, 2017. "A New Class of Discrete-time Stochastic Volatility Model with Correlated Errors," Papers 1703.06603, arXiv.org.
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    40. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    41. Hwai-Chung Ho, 2022. "Forecasting the distribution of long-horizon returns with time-varying volatility," Papers 2201.07457, arXiv.org.
    42. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    43. Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
    44. Roxana Chiriac & Valeri Voev, 2011. "Modelling and forecasting multivariate realized volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 922-947, September.
    45. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Working Papers in Economics 14/10, University of Canterbury, Department of Economics and Finance.
    46. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," PIER Working Paper Archive 11-037, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    47. C. Gourieroux, 2006. "Continuous Time Wishart Process for Stochastic Risk," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 177-217.
    48. Beum-Jo Park, 2011. "Forecasting Volatility in Financial Markets Using a Bivariate Stochastic Volatility Model with Surprising Information," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-58, September.
    49. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    50. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
    51. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Documentos de Trabajo del ICAE 2012-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    52. Paolella, Marc S. & Polak, Paweł, 2015. "COMFORT: A common market factor non-Gaussian returns model," Journal of Econometrics, Elsevier, vol. 187(2), pages 593-605.
    53. Billio, Monica & Caporin, Massimiliano, 2009. "A generalized Dynamic Conditional Correlation model for portfolio risk evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2566-2578.
    54. Jarjour, Riad & Chan, Kung-Sik, 2020. "Dynamic conditional angular correlation," Journal of Econometrics, Elsevier, vol. 216(1), pages 137-150.
    55. Asai, Manabu & McAleer, Michael & Medeiros, Marcelo C., 2012. "Modelling and forecasting noisy realized volatility," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 217-230, January.
    56. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    57. Cees Diks & Valentyn Panchenko & Oleg Sokolinskiy, & Dick van Dijk, 2013. "Comparing the Accuracy of Copula-Based Multivariate Density Forecasts in Selected Regions of Support," Tinbergen Institute Discussion Papers 13-061/III, Tinbergen Institute.
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    59. Alin Sima, 2008. "Stylized Facts and Discrete Stochastic Volatility Models," Advances in Economic and Financial Research - DOFIN Working Paper Series 10, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    60. Chen, J. & Kobayashi, M. & McAleer, M.J., 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Econometric Institute Research Papers TI 2017-022/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    61. Bastian Gribisch, 2016. "Multivariate Wishart stochastic volatility and changes in regime," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(4), pages 443-473, October.
    62. Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
    63. Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
    64. Haroon Mumtaz & Francesco Zanetti, 2013. "The Impact of the Volatility of Monetary Policy Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 535-558, June.
    65. Haroon Mumtaz & Konstantinos Theodoridis, 2012. "The international transmission of volatility shocks: an empirical analysis," Bank of England working papers 463, Bank of England.
    66. Weber, Enzo, 2013. "Simultaneous stochastic volatility transmission across American equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 53-60.
    67. Luo, Jiawen & Chen, Langnan, 2020. "Realized volatility forecast with the Bayesian random compressed multivariate HAR model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 781-799.
    68. Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
    69. Manabu Asai, 2013. "Heterogeneous Asymmetric Dynamic Conditional Correlation Model with Stock Return and Range," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 469-480, August.
    70. Kobayashi, Masahito, 2009. "Testing for jumps in the stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2597-2608.
    71. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    72. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility with Bayesian dynamic linear models," Papers 0802.0214, arXiv.org.
    73. Armine Bagyan & Donald Richards, 2023. "Hoffmann-Jørgensen Inequalities for Random Walks on the Cone of Positive Definite Matrices," Journal of Theoretical Probability, Springer, vol. 36(2), pages 1181-1202, June.
    74. Vo, Minh, 2011. "Oil and stock market volatility: A multivariate stochastic volatility perspective," Energy Economics, Elsevier, vol. 33(5), pages 956-965, September.
    75. Massimiliano Caporin & Michael McAleer, 2009. "A Scientific Classification of Volatility Models," Documentos de Trabajo del ICAE 2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    76. Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
    77. Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," Working Papers hal-04141780, HAL.
    78. Krause, Timothy A., 2019. "Hedge fund returns and uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 597-601.
    79. Alexandre Subbotin, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    80. Xin Jin & John M. Maheu, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," Working Paper series 34_14, Rimini Centre for Economic Analysis.
    81. Chen, Rongda & Xu, Jianjun, 2019. "Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model," Energy Economics, Elsevier, vol. 78(C), pages 379-391.
    82. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    83. Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
    84. Ding, Liang & Vo, Minh, 2012. "Exchange rates and oil prices: A multivariate stochastic volatility analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 15-37.
    85. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    86. Gribisch, Bastian, 2013. "A latent dynamic factor approach to forecasting multivariate stock market volatility," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79823, Verein für Socialpolitik / German Economic Association.
    87. Olson, Eric & J. Vivian, Andrew & Wohar, Mark E., 2014. "The relationship between energy and equity markets: Evidence from volatility impulse response functions," Energy Economics, Elsevier, vol. 43(C), pages 297-305.
    88. Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2011. "Multivariate High-Frequency-Based Volatility (HEAVY) Models," Economics Papers 2011-W01, Economics Group, Nuffield College, University of Oxford.
    89. Ehouman, Yao Axel, 2020. "Volatility transmission between oil prices and banks' stock prices as a new source of instability: Lessons from the United States experience," Economic Modelling, Elsevier, vol. 91(C), pages 198-217.
    90. Esfandiar Maasoumi & Michael McAleer, 2008. "Realized Volatility and Long Memory: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 1-9.
    91. Jiří Witzany, 2011. "Estimating Correlated Jumps and Stochastic Volatilities," Working Papers IES 2011/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2011.
    92. Mukhoti, Sujay, 2014. "Non-Stationary Stochastic Volatility Model for Dynamic Feedback and Skewness," MPRA Paper 62532, University Library of Munich, Germany.
    93. Laurini Márcio Poletti, 2013. "A Hybrid Data Cloning Maximum Likelihood Estimator for Stochastic Volatility Models," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 193-229, May.
    94. David Chan & Robert Kohn & Chris Kirby, 2006. "Multivariate Stochastic Volatility Models with Correlated Errors," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 245-274.
    95. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
    96. Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Documentos de Trabajo del ICAE 2016-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    97. Haroon Mumtaz, 2011. "Estimating the impact of the volatility of shocks: a structural VAR approach," Bank of England working papers 437, Bank of England.
    98. Amendola, Alessandra & Braione, Manuela & Candila, Vincenzo & Storti, Giuseppe, 2020. "A Model Confidence Set approach to the combination of multivariate volatility forecasts," International Journal of Forecasting, Elsevier, vol. 36(3), pages 873-891.
    99. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    100. Hasanov, Akram Shavkatovich & Do, Hung Xuan & Shaiban, Mohammed Sharaf, 2016. "Fossil fuel price uncertainty and feedstock edible oil prices: Evidence from MGARCH-M and VIRF analysis," Energy Economics, Elsevier, vol. 57(C), pages 16-27.
    101. Jiawen Luo & Langnan Chen, 2019. "Multivariate realized volatility forecasts of agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1565-1586, December.
    102. Tetsuya Takaishi, 2021. "Time-varying properties of asymmetric volatility and multifractality in Bitcoin," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-21, February.
    103. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    104. Juan-Angel Jimenez-Martin & Michael McAleer & Teodosio Pérez-Amaral, 2009. "The Ten Commandments for Managing Value-at-Risk Under the Basel II Accord," Documentos de Trabajo del ICAE 2009-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    105. Hiroaki Hata & Jun Sekine, 2017. "Risk-Sensitive Asset Management in a Wishart-Autoregressive Factor Model with Jumps," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 24(3), pages 221-252, September.
    106. Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    107. Huang, Shian-Chang, 2011. "Wavelet-based multi-resolution GARCH model for financial spillover effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2529-2539.
    108. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    109. Hassanniakalager, Arman & Baker, Paul L. & Platanakis, Emmanouil, 2024. "A False Discovery Rate approach to optimal volatility forecasting model selection," International Journal of Forecasting, Elsevier, vol. 40(3), pages 881-902.
    110. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    111. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    112. Bauer, Gregory H. & Vorkink, Keith, 2011. "Forecasting multivariate realized stock market volatility," Journal of Econometrics, Elsevier, vol. 160(1), pages 93-101, January.
    113. So, Mike K.P. & Choi, C.Y., 2008. "A multivariate threshold stochastic volatility model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 306-317.
    114. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    115. Andre Lucas & Anne Opschoor, 2016. "Fractional Integration and Fat Tails for Realized Covariance Kernels and Returns," Tinbergen Institute Discussion Papers 16-069/IV, Tinbergen Institute, revised 07 Jul 2017.
    116. Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
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    118. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2012. "The conditional autoregressive Wishart model for multivariate stock market volatility," Journal of Econometrics, Elsevier, vol. 167(1), pages 211-223.
    119. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    120. Huang Xiao, 2013. "Quasi-maximum likelihood estimation of multivariate diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 179-197, April.
    121. BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    122. G.K. Chetan Kumar & K.B. Rangappa & S. Suchitra, 2022. "Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 151-164, Summer.
    123. Alexander Subbotin & Thierry Chauveau & Kateryna Shapovalova, 2009. "Volatility Models: from GARCH to Multi-Horizon Cascades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00390636, HAL.
    124. Barigozzi, Matteo & Hallin, Mark, 2015. "Generalized dynamic factor models and volatilities: recovering the market volatility shocks," LSE Research Online Documents on Economics 60980, London School of Economics and Political Science, LSE Library.
    125. Chen Gong & David S. Stoffer, 2021. "A Note on Efficient Fitting of Stochastic Volatility Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(2), pages 186-200, March.
    126. Athanasios Tsagkanos & Konstantinos Gkillas & Christoforos Konstantatos & Christos Floros, 2021. "Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System," IJFS, MDPI, vol. 9(2), pages 1-13, April.
    127. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2013. "Risk spillovers in international equity portfolios," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 121-137.
    128. Caporin, Massimiliano, 2013. "Equity and CDS sector indices: Dynamic models and risk hedging," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 261-275.
    129. Asai, Manabu, 2009. "Bayesian analysis of stochastic volatility models with mixture-of-normal distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2579-2596.
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    5. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2024. "Forecasting the realized volatility of agricultural commodity prices: Does sentiment matter?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2088-2125, September.
    6. Fengler, Matthias R. & Mammen, Enno & Vogt, Michael, 2013. "Additive modeling of realized variance: tests for parametric specifications and structural breaks," Economics Working Paper Series 1332, University of St. Gallen, School of Economics and Political Science.
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    203. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
    204. Didit Budi Nugroho & Takayuki Morimoto, 2019. "Incorporating Realized Quarticity into a Realized Stochastic Volatility Model," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(4), pages 495-528, December.
    205. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    206. Huang, Jian & Kobayashi, Masahito & McAleer, Michael, 2012. "Testing for the Box–Cox parameter for an integrated process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 1-9.
    207. Matteo Bonato & Oğuzhan Çepni & Rangan Gupta & Christian Pierdzioch, 2023. "El Niño, La Niña, and forecastability of the realized variance of agricultural commodity prices: Evidence from a machine learning approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 785-801, July.
    208. McMillan, David G., 2019. "Cross-asset relations, correlations and economic implications," Global Finance Journal, Elsevier, vol. 41(C), pages 60-78.
    209. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    210. Francesca Lilla, 2021. "Volatility Bursts: A discrete-time option model with multiple volatility components," Temi di discussione (Economic working papers) 1336, Bank of Italy, Economic Research and International Relations Area.
    211. Tetsuya Takaishi, 2025. "Impact of the COVID-19 pandemic on the financial market efficiency of price returns, absolute returns, and volatility increment: Evidence from stock and cryptocurrency markets," Papers 2504.18960, arXiv.org.
    212. Hans J. Skaug & Jun Yu, 2009. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 15-2009, Singapore Management University, School of Economics.
    213. Matei, Marius, 2011. "Non-Linear Volatility Modeling of Economic and Financial Time Series Using High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 116-141, June.
    214. H. Peter Boswijk & Giuseppe Cavaliere & Luca De Angelis & A. M. Robert Taylor, 2022. "Adaptive information-based methods for determining the co-integration rank in heteroskedastic VAR models," Papers 2202.02532, arXiv.org.
    215. Vít Bubák & Filip Žikeš, 2009. "Distribution and Dynamics of Central-European Exchange Rates: Evidence from Intraday Data," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 59(4), pages 334-359, Oktober.
    216. Voyant, Cyril & Notton, Gilles & Darras, Christophe & Fouilloy, Alexis & Motte, Fabrice, 2017. "Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case," Energy, Elsevier, vol. 125(C), pages 248-257.
    217. Guo, Kun & Liu, Fengqi & Sun, Xiaolei & Zhang, Dayong & Ji, Qiang, 2023. "Predicting natural gas futures’ volatility using climate risks," Finance Research Letters, Elsevier, vol. 55(PA).
    218. Shephard, Neil & Xiu, Dacheng, 2017. "Econometric analysis of multivariate realised QML: Estimation of the covariation of equity prices under asynchronous trading," Journal of Econometrics, Elsevier, vol. 201(1), pages 19-42.
    219. Lin-Yee Hin & Nikolai Dokuchaev, 2016. "Short Rate Forecasting Based On The Inference From The Cir Model For Multiple Yield Curve Dynamics," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-33, March.
    220. Bunek, Gabriel D. & Janzen, Joseph P., 2015. "Characterizing the Effect of USDA Report Announcements in the Winter Wheat Futures Market Using Realized Volatility," 2015 Conference, April 20-21, 2015, St. Louis, Missouri 285838, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    221. Nicolás Magner Pulgar & Esteban José Antonio Terán Sánchez & Vicente Alfonso Guzmán Muñoz, 2022. "Stock Market Synchronization and Stock Volatility: The Case of an Emerging Market," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 17(3), pages 1-22, Julio - S.
    222. Elie Bouri & Rangan Gupta & Clement Kweku Kyei & Sowmya Subramaniam, 2020. "High-Frequency Movements of the Term Structure of Interest Rates of the United States: The Role of Oil Market Uncertainty," Working Papers 202085, University of Pretoria, Department of Economics.
    223. Vince Vella & Wing Lon Ng, 2015. "A Dynamic Fuzzy Money Management Approach for Controlling the Intraday Risk‐Adjusted Performance of AI Trading Algorithms," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 153-178, April.
    224. Shin, Dong Wan & Hwang, Eunju, 2015. "A Lagrangian multiplier test for market microstructure noise with applications to sampling interval determination for realized volatilities," Economics Letters, Elsevier, vol. 129(C), pages 95-99.
    225. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.
    226. Dimitrios Louzis & Spyros Xanthopoulos-Sisinis & Apostolos Refenes, 2011. "Stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility," Post-Print hal-00709559, HAL.
    227. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    228. Fernandes, Marcelo & Pereira, Murilo A.P., 2025. "Forecasting realized volatility using news flow," The Quarterly Review of Economics and Finance, Elsevier, vol. 104(C).
    229. Constandina Koki & Loukia Meligkotsidou & Ioannis Vrontos, 2020. "Forecasting under model uncertainty: Non‐homogeneous hidden Markov models with Pòlya‐Gamma data augmentation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 580-598, July.
    230. José Valentim Machado Vicente & Gustavo Silva Araujo & Paula Baião Fisher de Castro & Felipe Noronha Tavares, 2014. "Assessing Day-to-Day Volatility: Does the Trading Time Matter?," Brazilian Review of Finance, Brazilian Society of Finance, vol. 12(1), pages 41-66.
    231. Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Energies, MDPI, vol. 14(23), pages 1-18, December.
    232. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.
    233. Audrino, Francesco & Sigrist, Fabio & Ballinari, Daniele, 2020. "The impact of sentiment and attention measures on stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 334-357.
    234. Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2020. "Copula stochastic volatility in oil returns: Approximate Bayesian computation with volatility prediction," Energy Economics, Elsevier, vol. 92(C).
    235. Alexandra Chronopoulou & Frederi Viens, 2012. "Estimation and pricing under long-memory stochastic volatility," Annals of Finance, Springer, vol. 8(2), pages 379-403, May.
    236. Tseng-Chan Tseng & Hung-Cheng Lai & Cha-Fei Lin, 2012. "The impact of overnight returns on realized volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 357-364, March.
    237. Linlan Xiao & Vigdis Boasson & Sergey Shishlenin & Victoria Makushina, 2018. "Volatility forecasting: combinations of realized volatility measures and forecasting models," Applied Economics, Taylor & Francis Journals, vol. 50(13), pages 1428-1441, March.
    238. Qianli Zhao & Chao Wang & Richard Gerlach & Giuseppe Storti & Lingxiang Zhang, 2024. "Autoencoder Enhanced Realised GARCH on Volatility Forecasting," Papers 2411.17136, arXiv.org.
    239. Wink Junior, Marcos Vinício & Pereira, Pedro Luiz Valls, 2011. "Modeling and Forecasting of Realized Volatility: Evidence from Brazil," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 31(2), December.
    240. Iuri H. Ferreira & Marcelo C. Medeiros, 2021. "Modeling and Forecasting Intraday Market Returns: a Machine Learning Approach," Papers 2112.15108, arXiv.org.
    241. Rangan Gupta & Christian Pierdzioch, 2023. "Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? A quantile machine-learning approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-22, December.
    242. Steve Phelps & Wing Lon Ng, 2014. "A Simulation Analysis Of Herding And Unifractal Scaling Behaviour," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 39-58, January.
    243. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.
    244. Isaenko, Sergey, 2023. "Trading strategies and the frequency of time-series," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 267-283.
    245. Stanislav S Borysov & Alexander V Balatsky, 2014. "Cross-Correlation Asymmetries and Causal Relationships between Stock and Market Risk," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-11, August.
    246. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    247. Todorova, Neda & Souček, Michael, 2014. "The impact of trading volume, number of trades and overnight returns on forecasting the daily realized range," Economic Modelling, Elsevier, vol. 36(C), pages 332-340.
    248. Mário Correia Fernandes & José Carlos Dias & João Pedro Vidal Nunes, 2024. "Performance comparison of alternative stochastic volatility models and its determinants in energy futures: COVID‐19 and Russia–Ukraine conflict features," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 343-383, March.
    249. André Schöne, 2010. "Zum Informationsgehalt der Volatilitätsindizes VDAX und VDAX-New der Deutsche Börse AG," Schmalenbach Journal of Business Research, Springer, vol. 62(6), pages 625-661, September.
    250. Christian Bayer & Peter Friz & Jim Gatheral, 2016. "Pricing under rough volatility," Quantitative Finance, Taylor & Francis Journals, vol. 16(6), pages 887-904, June.
    251. Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2019. "Risk Aversion and the Predictability of Crude Oil Market Volatility: A Forecasting Experiment with Random Forests," Working Papers 201972, University of Pretoria, Department of Economics.
    252. Cabrera, Matias & Dwyer, Gerald P. & Nieto, Maria J., 2018. "The G-20′s regulatory agenda and banks’ risk," Journal of Financial Stability, Elsevier, vol. 39(C), pages 66-78.
    253. Marco Bee & Luca Trapin, 2018. "Estimating and Forecasting Conditional Risk Measures with Extreme Value Theory: A Review," Risks, MDPI, vol. 6(2), pages 1-16, April.

  253. Gao, Jiti & McAleer, Michael & Allen, Dave, 2006. "Econometric modelling in finance and risk management: An overview," MPRA Paper 11978, University Library of Munich, Germany, revised Nov 2007.

    Cited by:

    1. Arnaud Dufays & Jeroen V.K. Rombouts, 2016. "Sparse Change-point HAR Models for Realized Variance," Cahiers de recherche 1607, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.

  254. Manabu Asai & Michael McAleer, 2005. "Asymmetric Multivariate Stochastic Volatility," DEA Working Papers 12, Universitat de les Illes Balears, Departament d'Economía Aplicada.

    Cited by:

    1. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
    2. Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
    3. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    4. Koopman, Siem Jan & Shephard, Neil & Creal, Drew, 2009. "Testing the assumptions behind importance sampling," Journal of Econometrics, Elsevier, vol. 149(1), pages 2-11, April.
    5. Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
    6. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    7. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    9. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    10. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    11. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    12. Rangel José Gonzalo & Engle Robert F., 2009. "The Factor-Spline-GARCH Model for High and Low Frequency Correlations," Working Papers 2009-03, Banco de México.
    13. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    14. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    15. Asai, Manabu & Brugal, Ivan, 2013. "Forecasting volatility via stock return, range, trading volume and spillover effects: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 202-213.
    16. Adriano Zanin Zambom & Seonjin Kim & Nancy Lopes Garcia, 2022. "Variable length Markov chain with exogenous covariates," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 312-328, March.
    17. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    18. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Working Papers in Economics 14/10, University of Canterbury, Department of Economics and Finance.
    19. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Documentos de Trabajo del ICAE 2012-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    20. Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
    21. Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
    22. Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
    23. Xi Liu & Yiqiao Jin & Yifan Yang & Xiaoqing Pan, 2023. "Properties and Estimations of a Multivariate Folded Normal Distribution," Mathematics, MDPI, vol. 11(23), pages 1-15, December.
    24. David Chan & Robert Kohn & Chris Kirby, 2006. "Multivariate Stochastic Volatility Models with Correlated Errors," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 245-274.
    25. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    26. Roman Liesenfeld & Jean-Francois Richard, 2006. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 335-360.
    27. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    28. So, Mike K.P. & Choi, C.Y., 2008. "A multivariate threshold stochastic volatility model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 306-317.
    29. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    30. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility (Revised in May 2007, Handbook of Financial Time Series (Published in "Handbook of Financial Time Series" (eds T.G. Andersen, R.A. Davis, Jens-Peter Kreiss and T. Mikosch), 365-400. Springer-Verlag: New Yo," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    31. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    32. Borus Jungbacker & Siem Jan Koopman, 2006. "Monte Carlo Likelihood Estimation for Three Multivariate Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 385-408.
    33. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    34. Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-932, CIRJE, Faculty of Economics, University of Tokyo.
    35. Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
    36. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    37. Wang, Joanna J.J., 2012. "On asymmetric generalised t stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2079-2095.
    38. Han Chen & Yijie Fei & Jun Yu, 2026. "Multivariate Stochastic Volatility Model with Block Correlations," Working Papers 202638, University of Macau, Faculty of Business Administration.
    39. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    40. Yuta Kurose & Yasuhiro Omori, 2018. "Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1075, CIRJE, Faculty of Economics, University of Tokyo.
    41. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    42. Bucci, Andrea, 2017. "Forecasting realized volatility: a review," MPRA Paper 83232, University Library of Munich, Germany.
    43. Ahmed Hachicha & Fatma Hachicha & Afif Masmoudi, 2012. "A comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 479-493, May.
    44. Benjamin Poignard & Manabu Asai, 2022. "High-Dimensional Sparse Multivariate Stochastic Volatility Models," Papers 2201.08584, arXiv.org, revised May 2022.

  255. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.

    Cited by:

    1. Rodrigo Alfaro & Andrés Sagner, 2011. "Stress Tests for Banking Sector: A Technical Note," Working Papers Central Bank of Chile 610, Central Bank of Chile.
    2. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.

  256. McAleer, Michael & Shareef, Riaz & da Veiga, Bernardo, 2005. "Risk Management of Daily Tourist Tax Revenues for the Maldives," Natural Resources Management Working Papers 12128, Fondazione Eni Enrico Mattei (FEEM).

    Cited by:

    1. Candela, Guido & Figini, Paolo & Scorcu, Antonello E., 2005. "The Economics of Local Tourist Systems," Natural Resources Management Working Papers 12130, Fondazione Eni Enrico Mattei (FEEM).
    2. de Agostini, Paola & Lovo, Stefania & Pecci, Francesco & Perali, Carlo Federico & Baggio, Michele, 2005. "Simulating the Impact on the Local Economy of Alternative Management Scenarios for Natural Areas," Natural Resources Management Working Papers 12133, Fondazione Eni Enrico Mattei (FEEM).
    3. Xavier Labandeira & Alberto Gago & Fidel Picos & Miguel Rodríguez, 2006. "Taxing Tourism in Spain: Results and Recommendations," Working Papers 2006.40, Fondazione Eni Enrico Mattei.
    4. Antonio Menezes & Ainura Uzagalieva, 2013. "The Demand of Car Rentals: a Microeconometric Approach with Count Models and Survey Data," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 5(1), pages 25-41, June.
    5. Juin‐Jen Chang & Lee‐Jung Lu & Shih‐Wen Hu, 2011. "Congestion Externalities of Tourism, Dutch Disease and Optimal Taxation: Macroeconomic Implications," The Economic Record, The Economic Society of Australia, vol. 87(276), pages 90-108, March.
    6. Jorge V Pérez-Rodríguez & María Santana-Gallego, 2020. "Modelling tourism receipts and associated risks, using long-range dependence models," Tourism Economics, , vol. 26(1), pages 70-96, February.

  257. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.

    Cited by:

    1. Ishtiaq Ahmad & Judit Oláh & József Popp & Domicián Máté, 2018. "Does Business Group Affiliation Matter for Superior Performance? Evidence from Pakistan," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    2. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Daniel Cupriak & Katarzyna Kuziak & Tomasz Popczyk, 2020. "Risk Management Opportunities between Socially Responsible Investments and Selected Commodities," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    4. Borja Diez-Cañamero & Tania Bishara & Jose Ramon Otegi-Olaso & Rikardo Minguez & José María Fernández, 2020. "Measurement of Corporate Social Responsibility: A Review of Corporate Sustainability Indexes, Rankings and Ratings," Sustainability, MDPI, vol. 12(5), pages 1-36, March.
    5. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    6. Viorica Chirila, 2013. "Analysis Of The Returns And Volatility Of The Environmental Stock Leaders," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 5(3), pages 359-377, September.
    7. Chu, L. & McAleer, M.J. & Chen, C-C., 2009. "How Volatile is ENSO?," Econometric Institute Research Papers EI 2009-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Keuzenkamp, H.A. & McAleer, M., 1994. "Simplicity, scientific inference and econometric modelling," Discussion Paper 1994-56, Tilburg University, Center for Economic Research.
    9. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.
    10. Steven Cook, 2001. "Observations on the practice of data-mining: comments on the JEM symposium," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(3), pages 415-419.
    11. S. Sudha, 2015. "Risk-return and Volatility analysis of Sustainability Index in India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 17(6), pages 1329-1342, December.
    12. Sadorsky, Perry, 2014. "Modeling volatility and conditional correlations between socially responsible investments, gold and oil," Economic Modelling, Elsevier, vol. 38(C), pages 609-618.
    13. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  258. Matteo Manera & Alessandro Lanza & Michael McAleer, 2004. "Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns," Working Papers 2004.72, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Working Papers 2012.23, Fondazione Eni Enrico Mattei.
    2. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    3. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    4. Syed Aun R Rizvi & Shaista Arshad, 2014. "An Empirical Study of Islamic Equity as a Better Alternative during Crisis Using Multivariate GARCH DCC," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 22, pages 159-184.
    5. Shaher Al-Gounmeein Remal & Ismail Mohd Tahir, 2021. "Modelling and forecasting monthly Brent crude oil prices: a long memory and volatility approach," Statistics in Transition New Series, Statistics Poland, vol. 22(1), pages 29-54, March.
    6. Qunwei Wang & Xingyu Dai & Dequn Zhou, 2020. "Dynamic Correlation and Risk Contagion Between “Black” Futures in China: A Multi-scale Variational Mode Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1117-1150, April.
    7. George P. Papaioannou & Christos Dikaiakos & George Evangelidis & Panagiotis G. Papaioannou & Dionysios S. Georgiadis, 2015. "Co-Movement Analysis of Italian and Greek Electricity Market Wholesale Prices by Using a Wavelet Approach," Energies, MDPI, vol. 8(10), pages 1-30, October.
    8. Jin, Xiaoye, 2015. "Asymmetry in return and volatility spillover between China's interbank and exchange T-bond markets," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 340-353.
    9. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Rahim, Adam Mohamed & Masih, Mansur, 2014. "Portfolio Diversification Benefits of Islamic Stocks and Malaysia’s Major Trading Partners:MGARCH-DCC and Wavelet Correlation Approaches," MPRA Paper 58903, University Library of Munich, Germany.
    11. Lien, Donald & Yang, Li, 2008. "Asymmetric effect of basis on dynamic futures hedging: Empirical evidence from commodity markets," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 187-198, February.
    12. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Aboura, Sofiane & Chevallier, Julien, 2013. "Leverage vs. feedback: Which Effect drives the oil market?," Finance Research Letters, Elsevier, vol. 10(3), pages 131-141.
    14. Rahim, Adam Mohamed & Masih, Mansur, 2014. "Effects of Political Turmoil (Arab Spring) on Portfolio Diversification Benefits: Perspectives of the Moroccan Islamic Stock investors," MPRA Paper 58832, University Library of Munich, Germany.
    15. Vargas, Gregorio A., 2008. "What Drives the Dynamic Conditional Correlation of Foreign Exchange and Equity Returns?," MPRA Paper 7174, University Library of Munich, Germany.
    16. Ángeles Cebrián-Hernández & Enrique Jiménez-Rodríguez, 2021. "Modeling of the Bitcoin Volatility through Key Financial Environment Variables: An Application of Conditional Correlation MGARCH Models," Mathematics, MDPI, vol. 9(3), pages 1-16, January.
    17. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019. "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, vol. 81(C), pages 1132-1147.
    18. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 234-250.
    19. Kaijian He & Kin Keung Lai & Guocheng Xiang, 2012. "Portfolio Value at Risk Estimate for Crude Oil Markets: A Multivariate Wavelet Denoising Approach," Energies, MDPI, vol. 5(4), pages 1-26, April.
    20. Buriev, Abdul Aziz & Masih, Mansur, 2015. "Impact of Arab uprising on Portfolio diversification benefits at different investment horizons for the Turkish investors in relation to the regional stock markets: Multivariate GARCH-DCC and Wavelet coherence approaches," MPRA Paper 65233, University Library of Munich, Germany.
    21. Halkos, George & Tzirivis, Apostolos, 2018. "Effective energy commodities’ risk management: Econometric modeling of price volatility," MPRA Paper 90781, University Library of Munich, Germany.
    22. He, Kaijian & Wang, Lijun & Zou, Yingchao & Lai, Kin Keung, 2014. "Value at risk estimation with entropy-based wavelet analysis in exchange markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 408(C), pages 62-71.
    23. Rizvi, Syed Aun & Masih, Mansur, 2013. "Do Shariah (Islamic) Indices Provide a Safer Avenue in Crisis? Empirical Evidence from Dow Jones Indices using Multivariate GARCH-DCC," MPRA Paper 57701, University Library of Munich, Germany.
    24. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    25. Vacha, Lukas & Barunik, Jozef, 2012. "Co-movement of energy commodities revisited: Evidence from wavelet coherence analysis," Energy Economics, Elsevier, vol. 34(1), pages 241-247.
    26. Arthur Charpentier, 2015. "Prévision avec des copules en finance," Working Papers hal-01151233, HAL.
    27. Ching-Chun Wei, 2016. "Modeling and Analyzing the Mean and Volatility Relationship between Electricity Price Returns and Fuel Market Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(7), pages 1-55, July.
    28. Wu, Chih-Chiang & Chung, Huimin & Chang, Yu-Hsien, 2012. "The economic value of co-movement between oil price and exchange rate using copula-based GARCH models," Energy Economics, Elsevier, vol. 34(1), pages 270-282.
    29. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    30. Rahim, Adam Mohamed & Masih, Mansur, 2016. "Portfolio diversification benefits of Islamic investors with their major trading partners: Evidence from Malaysia based on MGARCH-DCC and wavelet approaches," Economic Modelling, Elsevier, vol. 54(C), pages 425-438.
    31. Peri, M. & Vandone, D. & Baldi, L., 2015. "Volatility Spillover between Water, Food and Energy," 2015 Conference, August 9-14, 2015, Milan, Italy 212627, International Association of Agricultural Economists.
    32. Massimo Peri & Daniela Vandone & Lucia Baldi, 2017. "Volatility Spillover between Water, Energy and Food," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    33. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.

  259. Felix Chan & Michael McAleer, 2003. "On the Structure, Asymptotic Theory and Applications of STAR-GARCH Models," CIRJE F-Series CIRJE-F-216, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Andreea Halunga & Chris D. Orme, 2007. "First order asymptotic theory for parametric misspecification tests of GARCH models," Economics Discussion Paper Series 0721, Economics, The University of Manchester.

  260. Christine Lim & Michael McAleer, 2003. "Ecologically Sustainable Tourism Management," CIRJE F-Series CIRJE-F-206, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Wenbin Luo, 2018. "Evaluating Tourist Destination Performance: Expanding the Sustainability Concept," Sustainability, MDPI, vol. 10(2), pages 1-16, February.
    2. Rangel, M.O. & Pita, C.B. & Gonçalves, J.M.S. & Oliveira, F. & Costa, C. & Erzini, K., 2015. "Eco-touristic snorkelling routes at Marinha beach (Algarve): Environmental education and human impacts," Marine Policy, Elsevier, vol. 60(C), pages 62-69.
    3. George Pipinos & Persa Fokiali, 2009. "An assessment of the attitudes of the inhabitants of Northern Karpathos, Greece: towards a framework for ecotourism development in environmentally sensitive areas," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 11(3), pages 655-675, June.
    4. Aretano, Roberta & Semeraro, Teodoro & Petrosillo, Irene & De Marco, Antonella & Pasimeni, Maria Rita & Zurlini, Giovanni, 2015. "Mapping ecological vulnerability to fire for effective conservation management of natural protected areas," Ecological Modelling, Elsevier, vol. 295(C), pages 163-175.
    5. Tanay Yıldırım & Tutku Ak & Zuhal Ölmez, 2008. "Assessment of the natural-cultural resources in Çanakkale for nature-based tourism," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 10(6), pages 871-881, December.

  261. John M. Sequeira & Pang Chia Chiat & Michael McAleer, 2003. "Volatility Models of Currency Futures in Developed and Emerging Markets," CIRJE F-Series CIRJE-F-210, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Ortas, Eduardo & Moneva, José M. & Salvador, Manuel, 2012. "Does socially responsible investment equity indexes in emerging markets pay off? Evidence from Brazil," Emerging Markets Review, Elsevier, vol. 13(4), pages 581-597.
    2. Liu, Xiangli & Cheng, Siwei & Wang, Shouyang & Hong, Yongmiao & Li, Yi, 2008. "An empirical study on information spillover effects between the Chinese copper futures market and spot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 899-914.

  262. Dora Marinova & Michael McAleer, 2003. "Environmental Technology Strengths: International Rankings Based on US Patent Data," CIRJE F-Series CIRJE-F-204, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Tomaz Bartol & Karmen Stopar, 2015. "Nano language and distribution of article title terms according to power laws," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 435-451, May.
    2. Vanessa OLTRA & René KEMP & Frans P. de VRIES, 2009. "Patents as a Measure for Eco-Innovation," Cahiers du GREThA (2007-2019) 2009-05, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    3. Yoshiyuki Takeda & Shiho Mae & Yuya Kajikawa & Katsumori Matsushima, 2009. "Nanobiotechnology as an emerging research domain from nanotechnology: A bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(1), pages 23-38, July.

  263. Peter Verhoeven & Michael McAleer, 2003. "Fat Tails and Asymmetry in Financial Volatility Models," CIRJE F-Series CIRJE-F-211, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Corsi, Fulvio & Kretschmer, Uta & Mittnik, Stefan & Pigorsch, Christian, 2005. "The volatility of realized volatility," CFS Working Paper Series 2005/33, Center for Financial Studies (CFS).
    2. Fang, WenShwo & Miller, Stephen M., 2009. "Modeling the volatility of real GDP growth: The case of Japan revisited," Japan and the World Economy, Elsevier, vol. 21(3), pages 312-324, August.
    3. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    4. Zhao, Xin & Scarrott, Carl John & Oxley, Les & Reale, Marco, 2011. "GARCH dependence in extreme value models with Bayesian inference," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1430-1440.
    5. Yuichi Nagahara, 2008. "A Method of Calculating the Downside Risk by Multivariate Nonnormal Distributions," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 15(3), pages 175-184, December.
    6. Hayette Gatfaoui, 2010. "Investigating the dependence structure between credit default swap spreads and the U.S. financial market," Annals of Finance, Springer, vol. 6(4), pages 511-535, October.
    7. Yuichi Nagahara, 2011. "Using Nonnormal Distributions to Analyze the Relationship Between Stock Returns in Japan and the US," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(4), pages 429-443, November.
    8. Amélie Charles, 2008. "Forecasting volatility with outliers in GARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 551-565.
    9. Meade, Nigel, 2010. "Oil prices -- Brownian motion or mean reversion? A study using a one year ahead density forecast criterion," Energy Economics, Elsevier, vol. 32(6), pages 1485-1498, November.
    10. Zhu, Ke & Li, Wai Keung, 2014. "A new Pearson-type QMLE for conditionally heteroskedastic models," MPRA Paper 52732, University Library of Munich, Germany.
    11. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    12. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    13. F. Pizzutilo, 2012. "The behaviour of the distributions of stock returns: an analysis of the European market using the Pearson system of continuous probability distributions," Applied Financial Economics, Taylor & Francis Journals, vol. 22(20), pages 1743-1752, October.
    14. Hayette Gatfaoui, 2010. "Capital Asset Pricing Model," Post-Print hal-00589904, HAL.
    15. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.
    16. Javed Farrukh & Podgórski Krzysztof, 2014. "Leverage Effect for Volatility with Generalized Laplace Error," Stochastics and Quality Control, De Gruyter, vol. 29(2), pages 157-166, December.
    17. Park, Jeong-Soo, 2005. "A simulation-based hyperparameter selection for quantile estimation of the generalized extreme value distribution," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 70(4), pages 227-234.
    18. Gamini Premaratne & Prabhath Jayasinghe, 2005. "Exchange rate exposure of stock returns at firm level," International Finance 0503004, University Library of Munich, Germany.
    19. Casey Quinn, 2005. "Generalisable regression methods for costeffectiveness using copulas," Health, Econometrics and Data Group (HEDG) Working Papers 05/13, HEDG, c/o Department of Economics, University of York.
    20. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.
    21. Gatfaoui, Hayette, 2017. "Equity market information and credit risk signaling: A quantile cointegrating regression approach," Economic Modelling, Elsevier, vol. 64(C), pages 48-59.

  264. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    2. Claudio-Quiroga, Gloria & Gil-Alana, Luis A. & Maiza-Larrarte, Andoni, 2023. "Mineral prices persistence and the development of a new energy vehicle industry in China: A fractional integration approach," Resources Policy, Elsevier, vol. 82(C).
    3. Stepanek, Christian & Walter, Matthias & Rathgeber, Andreas, 2013. "Is the convenience yield a good indicator of a commodity's supply risk?," Resources Policy, Elsevier, vol. 38(3), pages 395-405.
    4. Geman, Hélyette & Smith, William O., 2013. "Theory of storage, inventory and volatility in the LME base metals," Resources Policy, Elsevier, vol. 38(1), pages 18-28.
    5. Kshitij Kakade & Aswini Kumar Mishra & Kshitish Ghate & Shivang Gupta, 2022. "Forecasting Commodity Market Returns Volatility: A Hybrid Ensemble Learning GARCH‐LSTM based Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(2), pages 103-117, April.
    6. Etoundi Atenga, Eric Martial, 2014. "Asymmetric shocks, persistence in volatility and spillover effects between non ferrous metals on the LME spot market," MPRA Paper 61017, University Library of Munich, Germany.
    7. Sinha, Pankaj & Mathur, Kritika, 2013. "A study on the Price Behavior of Base Metals traded in India," MPRA Paper 47028, University Library of Munich, Germany.
    8. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
    9. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2015. "Convenience yield and inventory accessibility: Impact of regional market conditions," Resources Policy, Elsevier, vol. 44(C), pages 1-11.
    10. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    11. Barry A. Goss & S. Gulay Avsar, 2013. "Simultaneity, Forecasting and Profits in London Copper Futures," Australian Economic Papers, Wiley Blackwell, vol. 52(2), pages 79-96, June.
    12. Lien, Donald & Yang, Li, 2008. "Hedging with Chinese metal futures," Global Finance Journal, Elsevier, vol. 19(2), pages 123-138.
    13. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Energy Economics, Elsevier, vol. 40(C), pages 832-844.
    14. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.
    15. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    16. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    17. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    18. Han, Xuyuan & Liu, Zhenya & Wang, Shixuan, 2022. "An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting," Journal of Commodity Markets, Elsevier, vol. 25(C).
    19. Fernandez, Viviana, 2017. "A historical perspective of the informational content of commodity futures," Resources Policy, Elsevier, vol. 51(C), pages 135-150.
    20. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    21. Mohamed El Hedi Arouri & Fredj Jawadi & Prosper Mouak, 2013. "Testing the efficiency of the aluminium market: evidence from London metal exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 483-493, March.
    22. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    23. Morales, Lucía & Andreosso-O'Callaghan, Bernadette, 2011. "Comparative analysis on the effects of the Asian and global financial crises on precious metal markets," Research in International Business and Finance, Elsevier, vol. 25(2), pages 203-227, June.
    24. Sanidas, Elias, 2014. "Four harmonic cycles explain and predict commodity currencies' wide long term fluctuations," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 135-151.

  265. Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    2. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
    3. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    4. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.
    5. Mazzotta, Stefano, 2008. "How important is asymmetric covariance for the risk premium of international assets?," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1636-1647, August.
    6. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    7. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.
    8. Matteo Manera & Alessandro Lanza & Michael McAleer, 2004. "Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns," Working Papers 2004.72, Fondazione Eni Enrico Mattei.

  266. Lee Kian Lim & Michael McAleer, 2003. "Convergence and Catching Up in ASEAN: A Comparative Analysis," CIRJE F-Series CIRJE-F-218, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Carlos Mendez & Felipe Santos‐Marquez, 2021. "Regional convergence and spatial dependence across subnational regions of ASEAN: Evidence from satellite nighttime light data," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(6), pages 1750-1777, December.
    2. Enzo Weber, 2011. "Regional and Outward Economic Integration in South-East Asia," Post-Print hal-00670761, HAL.
    3. Pui Sun Tam, 2018. "Economic Transition and Growth Dynamics in Asia: Harmony or Discord?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(3), pages 361-387, September.
    4. Kant, Chander, 2019. "Income convergence and the catch-up index," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 613-627.
    5. Nguyen, Quyen T.K. & Almodóvar, Paloma, 2025. "Foreign subsidiary performance in multinational enterprises: The role of business development capabilities and resource deployment," Journal of International Management, Elsevier, vol. 31(3).
    6. Refk Selmi & Jamal Bouoiyour & Amal Miftah, 2019. "China's “New normal”: Will China's growth slowdown derail the BRICS stock markets?," Post-Print hal-02408713, HAL.
    7. Gurcharan Singh Pritam Singh, 2010. "Chinese and Indian Stock Market Linkages with Developed Stock Markets," Asian Journal of Finance & Accounting, Macrothink Institute, vol. 2(2), pages 2139-2139, December.
    8. Devasmita JENA, 2018. "Economic integration and income convergence in the EU and the ASEAN," Journal of Economics Library, KSP Journals, vol. 5(1), pages 1-11, March.
    9. Ramaprasad Bhar, 2010. "Stochastic Filtering with Applications in Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 7736.
    10. Kazuhiko Kakamu & Mototsugu Fukushige, 2006. "Productivity convergence of manufacturing industries in Japanese MEA," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 649-653.
    11. Matsuki, Takashi, 2019. "Per capita output convergence across Asian countries: Evidence from covariate unit root test with an endogenous structural break," Economic Modelling, Elsevier, vol. 82(C), pages 99-118.
    12. Bruno Jetin, 2019. "ASEAN Economic Community: the shift from absolute to relative poverty, and the rise of the middle class," Post-Print halshs-02388525, HAL.
    13. Matsuki, Takashi & Usami, Ryoichi, 2008. "Long-run growth patterns within Asian NIEs: Empirical analysis based on the panel unit root test, allowing the heterogeneity of time trend and endogenous multiple structural breaks," MPRA Paper 11541, University Library of Munich, Germany.
    14. Fernandez, Viviana, 2006. "Does domestic cooperation lead to business-cycle convergence and financial linkages?," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 369-396, July.
    15. Hirnissa, M.T & Habibullah, M.S., 2008. "Finance and other services sectors in Peninsular Malaysia, Sabah and Sarawak: Testing for stochastic convergence," MPRA Paper 12108, University Library of Munich, Germany.
    16. Badri Narayan Rath, 2019. "Does Total Factor Productivity Converge Among Asean Countries?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(12th BMEB), pages 477-494, January.
    17. Matsuki, Takashi & Usami, Ryoichi, 2007. "China's Regional Convergence in Panels with Multiple Structural Breaks," MPRA Paper 10167, University Library of Munich, Germany, revised 17 May 2008.
    18. Gilles Dufrénot & Valérie Mignon & Théo Naccache, 2009. "The slow convergence of per capita income between the developing countries: “growth resistance” and sometimes “growth tragedy”," Discussion Papers 09/03, University of Nottingham, CREDIT.
    19. Ji Kim, 2007. "Regional convergence and efficiency in Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 57-60.
    20. FE, Doukouré Charles, 2010. "Réduction de Droits de Douane et Convergence Réelle dans l'UEMOA [Tariffs Reduction and Real Convergence in WAEMU]," MPRA Paper 26763, University Library of Munich, Germany.
    21. Ji Kim, 2005. "Convergence hypothesis of regional income in Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 12(7), pages 431-435.
    22. Habibullah, M.S. & Smith, Peter & Dayang-Afizzah, A.M., 2008. "Has Kelantan grown faster than other states in Malaysia? A panel data analysis," MPRA Paper 12109, University Library of Munich, Germany.
    23. Mustafa Zuhal, 2023. "Technological Convergence in Emerging Economies: An Investigation with Unit Root Tests," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(2), pages 567-586, July.
    24. Cheong, Tsun Se & Wu, Yanrui, 2013. "Regional disparity, transitional dynamics and convergence in China," Journal of Asian Economics, Elsevier, vol. 29(C), pages 1-14.
    25. Peter Wilson & Keen Meng Choy, 2006. "Prospects For Enhanced Exchange Rate Cooperation In East Asia : Some Preliminary Findings From Generalized Ppp Theory," Macroeconomics Working Papers 22585, East Asian Bureau of Economic Research.
    26. J. Paul Dunne & Nicholas Masiyandima, 2017. "Bilateral FDI from South Africa and Income Convergence in SADC," African Development Review, African Development Bank, vol. 29(3), pages 403-415, September.
    27. Wang Kun & An Na, 2016. "A Nonlinear Empirical Test on the Stochastic Convergence of Economic Growth: A Case Study of East Asian Economic Community," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 103-109, October.
    28. Kant, Chander, 2018. "Income convergence and the catch-up index," MPRA Paper 89833, University Library of Munich, Germany.
    29. Kian-Teng Kwek & Cho-Wai Cho, 2006. "The State-And-Speed Of The Economies In Asean-5: A Geometry Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 51(03), pages 303-324.
    30. Cheong, Tsun Se & Wu, Yanrui, 2018. "Convergence and transitional dynamics of China's industrial output: A county-level study using a new framework of distribution dynamics analysis," China Economic Review, Elsevier, vol. 48(C), pages 125-138.
    31. A. F. Galvao Jr & F. A. Reis Gomes, 2007. "Convergence or divergence in Latin America? A time series analysis," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1353-1360.
    32. TRIANDAFIL, Cristina Maria, 2013. "Sustainability of convergence in the context of macro-prudential policies in the European Union," Working Papers of National Institute for Economic Research 130618, Institutul National de Cercetari Economice (INCE).
    33. Cunado, J. & Gil-Alana, L. A. & Perez de Gracia, F., 2004. "Real convergence in Taiwan: a fractionally integrated approach," Journal of Asian Economics, Elsevier, vol. 15(3), pages 529-547, June.

  267. Felix Chan & Dora Marinova & Michael McAleer, 2003. "Modelling the Asymmetric Volatility of Electronics Patents in the USA," CIRJE F-Series CIRJE-F-208, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Yu-Hui Wang & Tzu-han Chow, 2016. "Applying Patent Intelligence to Explore the Technology Evolution," Proceedings of International Academic Conferences 4006322, International Institute of Social and Economic Sciences.

  268. Baiding Hu & Michael McAleer, 2003. "Input-output Structure and Growth in China," CIRJE F-Series CIRJE-F-209, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Yang, Ling & Lahr, Michael L., 2010. "Sources of Chinese labor productivity growth: A structural decomposition analysis, 1987-2005," China Economic Review, Elsevier, vol. 21(4), pages 557-570, December.
    2. Brondino, Gabriel, 2019. "Productivity growth and structural change in China (1995–2009): A subsystems analysis," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 183-191.
    3. Eduardo Amaral Haddad & Michael L. Lahr & Dina N. Elshahawany & Moisés Vassallo, 2016. "Regional analysis of domestic integration in Egypt: an interregional CGE approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-33, December.
    4. Eduardo Haddad & Michael Lahr & Dina Elshahawany & Moisés Vassallo, 2015. "Regional Analysis of Domestic Integration in Egypt," ERSA conference papers ersa15p159, European Regional Science Association.

  269. Zhaoyong Zhang & Kiyotaka Sato & Michael McAleer, 2003. "Asian Monetary Integration: A Structural VAR Approach," CIRJE F-Series CIRJE-F-212, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Dungey, Mardi & Vehbi, Tugrul & Martin, Charlton, 2014. "VAR modelling in the presence of China’s rise : an application to the Taiwanese economy," Working Papers 2014-09, University of Tasmania, Tasmanian School of Business and Economics.
    2. Reza Moosavi Mohseni & M. Azali, 2014. "Monetary Integration and Optimum Currency Area in ASEAN+3: What We Need for a New Framework?," International Journal of Economics and Financial Issues, Econjournals, vol. 4(2), pages 277-285.
    3. Gordon De BROUWER & Arief RAMAYANDI & David TURVEY, 2006. "Macroeconomic Linkages and Regional Monetary Cooperation: Steps Ahead," Asian Economic Policy Review, Japan Center for Economic Research, vol. 1(2), pages 284-301, December.
    4. Arief Ramayandi, 2005. "ASEAN Monetary Cooperation : Issues and Prospects," Finance Working Papers 22028, East Asian Bureau of Economic Research.
    5. Gilles de Truchis & Benjamin Keddad, 2012. "South East Asian Monetary Integration: New Evidences from Fractional Cointegration of Real Exchange Rates," Working Papers halshs-00793503, HAL.
    6. Albert Mafusire & Zuzana Brixiova, 2012. "Working Paper 156 - Macroeconomic Shock Synchronization in the East African Community," Working Paper Series 409, African Development Bank.
    7. Kanfitine Lare-Lantone & Emmanuel Anoruo, 2022. "West African Monetary Union and Colonial Economic Ties," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 75(3), pages 323-362.
    8. Dungey, Mardi & Vehbi, Tugrul, 2015. "The influences of international output shocks from the US and China on ASEAN economies," Journal of Asian Economics, Elsevier, vol. 39(C), pages 59-71.
    9. John Hawkins & Paul Masson, 2003. "Economic aspects of regional currency areas and the use of foreign currencies," BIS Papers chapters, in: Bank for International Settlements (ed.), Regional currency areas and the use of foreign currencies, volume 17, pages 4-42, Bank for International Settlements.
    10. Shafighi, Najla & Gharleghi, Behrooz, 2016. "Feasibility of a currency union in East Asia using the five-variable structural vector autoregressive model," Economic Analysis and Policy, Elsevier, vol. 52(C), pages 45-54.
    11. Foresti, Pasquale, 2007. "Is Latin America an Optimal Currency Area? Evidence from a Structural Vector Auto-regression analysis," MPRA Paper 2961, University Library of Munich, Germany, revised Apr 2008.
    12. Ephrem Habtemichael Redda & Paul-Francois Muzindutsi, 2017. "Feasibility of Monetary Union in the SADC and EAC: Evidence from Business Cycle Synchronisation," EuroEconomica, Danubius University of Galati, issue 2(36), pages 135-144, November.
    13. Kigabo-Rusuhuzwa, Thomas & Heshmati, Almas, 2022. "Are the East African Community's Countries Ready for a Common Currency?," IZA Discussion Papers 15210, IZA Network @ LISER.
    14. Hyeon-seung Huh & Cyn-Young Park, 2013. "Examining the Determinants of Food Prices in Developing Asia," ADB Economics Working Paper Series 370, Asian Development Bank.
    15. T.G. Saji, 2022. "Stock market linkages in Asia. Revisiting Granger causality evidences," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(3(632), A), pages 151-168, Autumn.
    16. Buigut, Steven K. & Valev, Neven T., 2005. "Is the proposed East African Monetary Union an optimal currency area? a structural vector autoregression analysis," World Development, Elsevier, vol. 33(12), pages 2119-2133, December.
    17. Albert Mafusire & Zuzana Brixiova, 2012. "Macroeconomic Shock Synchronization in the East African Community," William Davidson Institute Working Papers Series wp1031, William Davidson Institute at the University of Michigan.

  270. Robert L. Basmann & Michael McAleer & Daniel Slottje, 2003. "Patent Activity and Technical Change," CIRJE F-Series CIRJE-F-217, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Oh, Donghyun & Heshmati, Almas & Lööf, Hans, 2014. "Total factor productivity of Korean manufacturing industries: Comparison of competing models with firm-level data," Japan and the World Economy, Elsevier, vol. 30(C), pages 25-36.
    2. Alejandro Barragán-Ocaña & Gerardo Reyes-Ruiz & Samuel Olmos-Peña & Hortensia Gómez-Viquez, 2020. "Approach to the identification of an alternative technological innovation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 23-45, January.
    3. Yongli Zhang & Sanggyun Na & Jianguang Niu & Beichen Jiang, 2018. "The Influencing Factors, Regional Difference and Temporal Variation of Industrial Technology Innovation: Evidence with the FOA-GRNN Model," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    4. Michalski, Tomasz, 2012. "Input substitutability, trade costs and location," Economics Letters, Elsevier, vol. 117(1), pages 57-59.

  271. Christine Lim & Michael McAleer, 2003. "Modelling International Travel Demand from Singapore to Australia," CIRJE F-Series CIRJE-F-214, CIRJE, Faculty of Economics, University of Tokyo.

    Cited by:

    1. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2008. "A Panel Unit Root and Panel Cointegration Test of the Modeling International Tourism Demand in India," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 95-124.
    2. Chukiat CHAIBOONSRI & Prasert CHAITIP, 2012. "Trends and Perspectives Regarding the Evolution of the Concept of Economic Intelligence within the Context of the Economic Crisis," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(2), pages 1-7, April.
    3. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
    4. Celestine Grace Xueting Cai & Nigel Wei-Han Lim & Vinh Anh Huynh & Aparna Ananthakrishnan & Saudamini Vishwanath Dabak & Borame Sue Lee Dickens & Dian Faradiba & Sarin KC & Alec Morton & Minah Park & , 2023. "Economic Analysis of Border Control Policies during COVID-19 Pandemic: A Modelling Study to Inform Cross-Border Travel Policy between Singapore and Thailand," IJERPH, MDPI, vol. 20(5), pages 1-17, February.
    5. Naudé, Wim & Saayman, Andrea, 2005. "Determinants of tourist arrivals in Africa: a panel data regression analysis," MPRA Paper 16479, University Library of Munich, Germany.

  272. Clinton WATKINS & Michael McALEER, 2002. "Volatility of a Market Index and its Components: An Application to Commodity Markets," Computing in Economics and Finance 2002 18, Society for Computational Economics.

    Cited by:

    1. Dipankor Coondoo & Paramita Mukherjee, 2004. "Components of volatility and their empirical measures: a note," Applied Financial Economics, Taylor & Francis Journals, vol. 14(18), pages 1313-1318.

  273. Christine Lim & Michael McAleer, 2001. "Modelling the Determinants of International Tourism Demand to Australia," ISER Discussion Paper 0532, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Richa Dhariwal, 2005. "Tourist Arrivals in India: How Important are Domestic Disorders?," Tourism Economics, , vol. 11(2), pages 185-205, June.
    2. Vatsa, Puneet, 2020. "Comovement amongst the demand for New Zealand tourism," Annals of Tourism Research, Elsevier, vol. 83(C).
    3. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2008. "A Panel Unit Root and Panel Cointegration Test of the Modeling International Tourism Demand in India," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 95-124.
    4. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.
    5. Gabriela Mordecki & Ana Leiva & Nathalie Desplas, 2016. "Tourism demand for Mexico and Uruguay," Documentos de Trabajo (working papers) 16-09, Instituto de Economía - IECON.
    6. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
    7. Pham, Tien Duc & Nghiem, Son & Dwyer, Larry, 2017. "The determinants of Chinese visitors to Australia: A dynamic demand analysis," Tourism Management, Elsevier, vol. 63(C), pages 268-276.

  274. Shiqing Ling & Michael McAleer, 2001. "Necessary and Sufficient Moment Conditions for the GARCH(r,s) and Asymmetric Power GARCH(r,s) Models," ISER Discussion Paper 0534, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Christian Francq & Jean‐Michel Zakoïan, 2009. "Bartlett's formula for a general class of nonlinear processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 449-465, July.
    2. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Modelling the asymmetric volatility of anti-pollution patents in the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 179-197, February.
    5. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    6. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    8. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    9. Michael McAleer & Chia-Lin Chang & Roengchai Tansuchat, 2012. "Modelling Long Memory Volatility in Agricultural Commodity Futures Return," KIER Working Papers 817, Kyoto University, Institute of Economic Research.
    10. Berkes, István & Hörmann, Siegfried & Horváth, Lajos, 2008. "The functional central limit theorem for a family of GARCH observations with applications," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2725-2730, November.
    11. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Chia-Lin Chang & Michael McAleer & Christine Lim, 2011. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Documentos de Trabajo del ICAE 2011-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    13. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    15. Caporale, Guglielmo Maria & Ntantamis, Christos & Pantelidis, Theologos & Pittis, Nikitas, 2004. "The BDS Test as a Test for the Adequacy of a GARCH(1,1) Specification. A Monte Carlo Study," Economics Series 156, Institute for Advanced Studies.
    16. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.
    17. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    18. Manh Ha Nguyen & Olivier Darné, 2018. "Forecasting and risk management in the Vietnam Stock Exchange," Working Papers halshs-01679456, HAL.
    19. Francq, Christian & Wintenberger, Olivier & Zakoïan, Jean-Michel, 2013. "GARCH models without positivity constraints: Exponential or log GARCH?," Journal of Econometrics, Elsevier, vol. 177(1), pages 34-46.
    20. Pesaran, M. Hashem & Zaffaroni, Paolo, 2005. "Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management," CEPR Discussion Papers 5279, C.E.P.R. Discussion Papers.
    21. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    22. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    23. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    25. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    26. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    27. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    28. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    29. Francq, Christian & Roy, Roch & Saidi, Abdessamad, 2011. "Asymptotic properties of weighted least squares estimation in weak parma models," MPRA Paper 28721, University Library of Munich, Germany.
    30. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Biao Wu, Wei & Min, Wanli, 2005. "On linear processes with dependent innovations," Stochastic Processes and their Applications, Elsevier, vol. 115(6), pages 939-958, June.
    32. Niklas Ahlgren & Alexander Back & Timo Terasvirta, 2024. "A new GARCH model with a deterministic time-varying intercept," Papers 2410.03239, arXiv.org, revised Oct 2024.
    33. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    34. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    35. Zhang, Yue-Jun & Yao, Ting & He, Ling-Yun & Ripple, Ronald, 2019. "Volatility forecasting of crude oil market: Can the regime switching GARCH model beat the single-regime GARCH models?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 302-317.
    36. Shao, Xiaofeng, 2011. "A bootstrap-assisted spectral test of white noise under unknown dependence," Journal of Econometrics, Elsevier, vol. 162(2), pages 213-224, June.
    37. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    38. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.
    39. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    40. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    41. Chang, C-L. & Chen, C-C. & McAleer, M.J. & Chen, P-Y., 2013. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Econometric Institute Research Papers EI 2013-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    42. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    43. Hoti, Suhejla, 2005. "Comparative analysis of risk ratings for the East European region," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 449-462.
    44. Brent Hudson & Richard Gerlach, 2008. "A Bayesian approach to relaxing parameter restrictions in multivariate GARCH models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 606-627, November.
    45. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    46. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
    47. Yang, Yung-Lieh & Chang, Chia-Lin, 2008. "A double-threshold GARCH model of stock market and currency shocks on stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 458-474.
    48. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    49. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    50. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
    51. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    52. Abdou Kâ Diongue & Dominique Guegan, 2008. "The k-factor Gegenbauer asymmetric Power GARCH approach for modelling electricity spot price dynamics," Post-Print halshs-00259225, HAL.
    53. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.
    54. Rasmus Søndergaard Pedersen, 2015. "Inference and testing on the boundary in extended constant conditional correlation GARCH models," Discussion Papers 15-10, University of Copenhagen. Department of Economics.
    55. Stelios Arvanitis & Antonis Demos, 2004. "Time Dependence and Moments of a Family of Time‐Varying Parameter Garch in Mean Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(1), pages 1-25, January.
    56. Lars Forsberg & Tim Bollerslev, 2002. "Bridging the gap between the distribution of realized (ECU) volatility and ARCH modelling (of the Euro): the GARCH-NIG model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 535-548.
    57. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    58. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    59. Kovačić, Zlatko, 2007. "Forecasting volatility: Evidence from the Macedonian stock exchange," MPRA Paper 5319, University Library of Munich, Germany.
    60. Alexandre Subbotin, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    61. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2009. "How Volatile is ENSO?," CIRJE F-Series CIRJE-F-635, CIRJE, Faculty of Economics, University of Tokyo.
    62. Abdeljalil Settar & Nadia Idrissi Fatmi & Mohammed Badaoui, 2021. "New Approach in Dealing with the Non-Negativity of the Conditional Variance in the Estimation of GARCH Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 55-74, March.
    63. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    64. Muhammad Jaffri Mohd Nasir & Ramzan Nazim Khan & Gopalan Nair & Darfiana Nur, 2025. "Coordinate gradient descent algorithm in adaptive LASSO for pure ARCH and pure GARCH models," Computational Statistics, Springer, vol. 40(7), pages 3527-3561, September.
    65. Chan, F. & McAleer, M.J. & Medeiros, M.C., 2011. "Structure and Asymptotic theory for Nonlinear Models with GARCH Errors," Econometric Institute Research Papers EI 2010-79, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    66. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    67. Niklas Ahlgren & Alexander Back & Timo Terasvirta, 2025. "Testing parametric additive time-varying GARCH models," Papers 2506.23821, arXiv.org.
    68. Watkins, Clinton & McAleer, Michael, 2005. "Related commodity markets and conditional correlations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 567-579.
    69. Charles, Amélie & Darné, Olivier, 2014. "Volatility persistence in crude oil markets," Energy Policy, Elsevier, vol. 65(C), pages 729-742.
    70. Feng, Yuanhua & Beran, Jan & Yu, Keming, 2007. "Modelling financial time series with SEMIFAR-GARCH model," CoFE Discussion Papers 07/14, University of Konstanz, Center of Finance and Econometrics (CoFE).
    71. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    72. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    73. Feng, Yuanhua & Härdle, Wolfgang Karl, 2020. "A data-driven P-spline smoother and the P-Spline-GARCH models," IRTG 1792 Discussion Papers 2020-016, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    74. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.
    75. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    76. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    77. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.
    78. Feng, Yuanhua & McNeil, Alexander J., 2008. "Modelling of scale change, periodicity and conditional heteroskedasticity in return volatility," Economic Modelling, Elsevier, vol. 25(5), pages 850-867, September.
    79. Thai Hung, Ngo & Nguyen, Linh Thi My & Vinh Vo, Xuan, 2022. "Exchange rate volatility connectedness during Covid-19 outbreak: DECO-GARCH and Transfer Entropy approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    80. Parvesh K. Chopra & Gopal K. Kanji, 2010. "On Measuring Country Risk: A new System Modelling Approach - La misura del rischio paese: un nuovo approccio system modelling," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(4), pages 479-515.
    81. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    82. Aknouche, Abdelhakim & Bentarzi, Mohamed, 2008. "On the existence of higher-order moments of periodic GARCH models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3262-3268, December.
    83. Carol Alexander & Emese Lazar & Silvia Stanescu, 2010. "Analytic Moments for GARCH Processes," ICMA Centre Discussion Papers in Finance icma-dp2011-07, Henley Business School, University of Reading, revised Apr 2011.
    84. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    85. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2021. "High-Frequency Volatility Forecasting of US Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 283-317, February.
    86. Felix Chan & Michael McAleer, 2002. "Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 509-534.
    87. Yue-Jun Zhang & Ting Yao & Ling-Yun He, 2015. "Forecasting crude oil market volatility: can the Regime Switching GARCH model beat the single-regime GARCH models?," Papers 1512.01676, arXiv.org.
    88. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    89. Shiqing Ling & Michael McAleer, 2001. "On Adaptive Estimation in Nonstationary ARMA Models with GARCH Errors," ISER Discussion Paper 0548, Institute of Social and Economic Research, The University of Osaka.
    90. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.
    91. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    92. Trino-Manuel Ñíguez, 2008. "Volatility and VaR forecasting in the Madrid Stock Exchange," Spanish Economic Review, Springer;Spanish Economic Association, vol. 10(3), pages 169-196, September.
    93. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    94. Lee, O. & Shin, D.W., 2005. "On stationarity and [beta]-mixing property of certain nonlinear GARCH(p,q) models," Statistics & Probability Letters, Elsevier, vol. 73(1), pages 25-35, June.
    95. Peter A. Zadrozny, 2005. "Necessary and Sufficient Restrictions for Existence of a Unique Fourth Moment of a Univariate GARCH(p,q) Process," CESifo Working Paper Series 1505, CESifo.
    96. Lee, O. & Shin, D. W., 2004. "Strict stationarity and mixing properties of asymmetric power GARCH models allowing a signed volatility," Economics Letters, Elsevier, vol. 84(2), pages 167-173, August.
    97. Behmiri, Niaz Bashiri & Manera, Matteo, 2015. "The role of outliers and oil price shocks on volatility of metal prices," Resources Policy, Elsevier, vol. 46(P2), pages 139-150.
    98. Alexander Subbotin & Thierry Chauveau & Kateryna Shapovalova, 2009. "Volatility Models: from GARCH to Multi-Horizon Cascades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00390636, HAL.
    99. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, vol. 5(2), pages 1-33, May.
    100. Feng, Yuanhua, 2006. "A local dynamic conditional correlation model," MPRA Paper 1592, University Library of Munich, Germany.
    101. Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.
    102. Christian Francq & Jean-Michel Zakoïan, 2008. "Barlett’s Formula for Non Linear Processes," Working Papers 2008-05, Center for Research in Economics and Statistics.
    103. Karanasos, Menelaos & Kim, Jinki, 2006. "A re-examination of the asymmetric power ARCH model," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 113-128, January.
    104. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    105. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    106. Bartolomé, Ana & McAleer, Michael & Ramos, Vicente & Rey-Maquieira, Javier, 2009. "A risk map of international tourist regions in Spain," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2741-2758.
    107. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    108. Shi, Yujie, 2022. "What influences stock market co-movements between China and its Asia-Pacific trading partners after the Global Financial Crisis?," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    109. Dietmar Bauer, 2004. "Using Subspace Methods for Estimating ARMA Models for Multivariate Time Series with Conditionally Heteroskedastic Innovations," Cowles Foundation Discussion Papers 1452, Cowles Foundation for Research in Economics, Yale University.
    110. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    111. Ng, Hock Guan & McAleer, Michael, 2004. "Recursive modelling of symmetric and asymmetric volatility in the presence of extreme observations," International Journal of Forecasting, Elsevier, vol. 20(1), pages 115-129.
    112. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    113. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.
    114. Matteo Manera & Alessandro Lanza & Michael McAleer, 2004. "Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns," Working Papers 2004.72, Fondazione Eni Enrico Mattei.
    115. Hoti, Suhejla & McAleer, Michael & Chan, Felix, 2005. "Modelling the spillover effects in the volatility of atmospheric carbon dioxide concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 46-56.
    116. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    117. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, Enero-Abr.
    118. Wan, Xiaoli & Yan, Yuruo & Zeng, Zhixiong, 2020. "Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    119. Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
    120. Aue, Alexander & Horváth, Lajos & Reimherr, Matthew L., 2009. "Delay times of sequential procedures for multiple time series regression models," Journal of Econometrics, Elsevier, vol. 149(2), pages 174-190, April.
    121. Stavros Stavroyiannis, 2017. "A note on the Nelson Cao inequality constraints in the GJR-GARCH model: Is there a leverage effect?," Papers 1705.00535, arXiv.org.
    122. Francq, Christian & Horvath, Lajos & Zakoian, Jean-Michel, 2014. "Variance targeting estimation of multivariate GARCH models," MPRA Paper 57794, University Library of Munich, Germany.
    123. Charles, Amélie & Darné, Olivier, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Energy Economics, Elsevier, vol. 67(C), pages 508-519.
    124. Francq, Christian & ZakoI¨an, Jean-Michel, 2005. "The L2-structures of standard and switching-regime GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 115(9), pages 1557-1582, September.
    125. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.
    126. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    127. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    128. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  275. Matteo Manera & Michael McAleer, 2001. "Testing Multiple Non-nested Factor Demand Systems," ISER Discussion Paper 0543, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Panos Pashardes & Nicoletta Pashourtidou, 2011. "Consumer welfare from publicly supplemented private goods: age and income effects on demand for health care," Empirical Economics, Springer, vol. 41(3), pages 865-885, December.
    2. Matteo Manera & Bruno Sitzia, 2005. "Empirical factor demands and flexible functional forms: a bayesian approach," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 57-75.
    3. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875.
    4. Renée B Adams & Roman Kräussl & Marco Navone & Patrick Verwijmeren, 2021. "Gendered Prices," Published Paper Series 2021-4, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

  276. Shiqing Ling & Michael McAleer, 2001. "On Adaptive Estimation in Nonstationary ARMA Models with GARCH Errors," ISER Discussion Paper 0548, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    5. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    8. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    9. Oliver Linton & Dajing Shang & Yang Yan, 2012. "Efficient estimation of conditional risk measures in a semiparametric GARCH model," CeMMAP working papers CWP25/12, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    10. Chang, Chia-Lin, 2014. "Modelling a Latent Daily Tourism Financial Conditions Index," MPRA Paper 54887, University Library of Munich, Germany.
    11. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    13. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    14. Chia-Lin Chang & Michael McAleer & Christine Lim, 2010. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Working Papers in Economics 10/40, University of Canterbury, Department of Economics and Finance.
    15. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Chor-yiu SIN, 2004. "Estimation and Testing for Partially Nonstationary Vector Autoregressive Models with GARCH: WLS versus QMLE," Econometric Society 2004 North American Summer Meetings 476, Econometric Society.
    17. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.
    18. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    19. Chang, C-L. & Chen, C-C. & McAleer, M.J. & Chen, P-Y., 2013. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Econometric Institute Research Papers EI 2013-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    21. Elena Andreou & Bas J.M. Werker, 2014. "Residual-based Rank Specification Tests for AR-GARCH type models," University of Cyprus Working Papers in Economics 02-2014, University of Cyprus Department of Economics.
    22. Christian Francq & Jean-Michel Zakoïan, 2006. "Inference in GARCH when some coefficients are equal to zero," Computing in Economics and Finance 2006 64, Society for Computational Economics.
    23. Chor-yiu SIN, 2004. "Estimation and Testing for Partially Nonstationary Vector Autoregressive Models with GARCH: WLS versus QMLE," Econometric Society 2004 Australasian Meetings 92, Econometric Society.
    24. Asai, M. & McAleer, M.J., 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Econometric Institute Research Papers EI 2010-76, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Michael Jansson, 2007. "Semiparametric Power Envelopes for Tests of the Unit Root Hypothesis," CREATES Research Papers 2007-12, Department of Economics and Business Economics, Aarhus University.
    27. Werker, Bas J M & Andreou, Elena, 2013. "Residual-based Rank Specification Tests for AR-GARCH type models," CEPR Discussion Papers 9583, C.E.P.R. Discussion Papers.
    28. Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015. "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers EI2015-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Felix Chan & Michael McAleer, 2002. "Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 509-534.
    30. Chang, C-L. & McAleer, M.J., 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," Econometric Institute Research Papers EI 2010-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Francq, Christian & Zakoian, Jean-Michel, 2010. "Strict stationarity testing and estimation of explosive ARCH models," MPRA Paper 22414, University Library of Munich, Germany.
    32. Christian Francq & Jean-Michel Zakoïan, 2008. "Testing the Nullity of GARCH Coefficients : Correction of the Standard Tests and Relative Efficiency Comparisons," Working Papers 2008-04, Center for Research in Economics and Statistics.
    33. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    34. Jose Angelo Divino & Michael McAleer, 2009. "Modelling and Forecasting Daily International Mass Tourism to Peru," CIRJE F-Series CIRJE-F-651, CIRJE, Faculty of Economics, University of Tokyo.
    35. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Pérez-Amaral, 0000. "Has the Basel II Accord Encouraged Risk Management during the 2008-09 Financial Crisis?," Tinbergen Institute Discussion Papers 09-039/4, Tinbergen Institute.
    36. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    37. Werner Ploberger & Peter C.B. Phillips, 2010. "Optimal Estimation under Nonstandard Conditions," Cowles Foundation Discussion Papers 1748, Cowles Foundation for Research in Economics, Yale University.
    38. Shiqing Ling & Michael McAleer, 2001. "Asymptotic Theory for a Vector ARMA-GARCH Model," ISER Discussion Paper 0549, Institute of Social and Economic Research, The University of Osaka.
    39. Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.
    40. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    41. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    42. Chu, L. & McAleer, M.J. & Chen, C-C., 2009. "How Volatile is ENSO?," Econometric Institute Research Papers EI 2009-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    43. Ling, Shiqing, 2007. "Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models," Journal of Econometrics, Elsevier, vol. 140(2), pages 849-873, October.
    44. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    45. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    46. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  277. Shiqing Ling & Michael McAleer, 2001. "Asymptotic Theory for a Vector ARMA-GARCH Model," ISER Discussion Paper 0549, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Masakazu Miura & Kenichiro Tamaki & Takayuki Shiohama, 2013. "Asymptotic Expansion for Term Structures of Defaultable Bonds with Non-Gaussian Dependent Innovations," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(4), pages 311-344, November.
    2. Yaya, OlaOluwa & Ogbonna, Ahamuefula, 2018. "Modelling crude oil-petroleum products’ price nexus using dynamic conditional correlation GARCH models," MPRA Paper 91227, University Library of Munich, Germany.
    3. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    4. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J. & Thompson, M.A., 2009. "Precious Metals-Exchange Rate Volatility Transmissions and Hedging Strategies," Econometric Institute Research Papers EI 2009-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Chen-Yin Kuo & Shu-Mei Chiang, 2025. "Spillover effects and network connectedness among stock markets: evidence from the U.S. and Asia," Review of Quantitative Finance and Accounting, Springer, vol. 64(1), pages 1-52, January.
    7. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Tanchanok Khamkaew & Roengchai Tansuchat & Chia-Lin Chang & Michael McAleer, 2009. "Modelling Conditional Correlations in the Volatility of Asian Rubber Spot and Futures Returns," CARF F-Series CARF-F-175, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Nov 2009.
    9. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Modelling the asymmetric volatility of anti-pollution patents in the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 179-197, February.
    11. Haas, Markus, 2010. "Covariance forecasts and long-run correlations in a Markov-switching model for dynamic correlations," Finance Research Letters, Elsevier, vol. 7(2), pages 86-97, June.
    12. Chia-Lin Chang & Michael McAleer, 2017. "The Fiction of Full BEKK," Documentos de Trabajo del ICAE 2017-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    13. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    14. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    15. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    16. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    18. Markus Haas, 2018. "A note on the absolute moments of the bivariate normal distribution," Economics Bulletin, AccessEcon, vol. 38(1), pages 650-656.
    19. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    20. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    21. El Hedi Arouri, Mohamed & Jouini, Jamel & Nguyen, Duc Khuong, 2011. "Volatility spillovers between oil prices and stock sector returns: Implications for portfolio management," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1387-1405.
    22. Hafner, Christian M. & Herwartz, Helmut & Maxand, Simone, 2022. "Identification of structural multivariate GARCH models," Journal of Econometrics, Elsevier, vol. 227(1), pages 212-227.
    23. Michael Frömmel & Eyup Kadioglu, 2023. "Impact of trading hours extensions on foreign exchange volatility: intraday evidence from the Moscow exchange," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    24. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    25. Hashem Pesaran & Paolo Zaffaroni & Banca d'Italia), 2004. "Model Averaging and Value-at-Risk based Evaluation of Large Multi Asset Volatility Models for Risk Management," Money Macro and Finance (MMF) Research Group Conference 2004 101, Money Macro and Finance Research Group.
    26. Giorgio Busetti & Matteo Manera, 2003. "STAR-GARCH Models for Stock Market Interactions in the Pacific Basin Region, Japan and US," Working Papers 2003.43, Fondazione Eni Enrico Mattei.
    27. Artur Nagapetyan, 2019. "Precondition stock and stock indices volatility modeling based on market diversification potential: Evidence from Russian market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 56, pages 45-61.
    28. Rasmus Søndergaard Pedersen, 2014. "Targeting estimation of CCC-Garch models with infinite fourth moments," Discussion Papers 14-04, University of Copenhagen. Department of Economics.
    29. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    30. Nikolay Gospodinov & Ibrahim Jamali, 2014. "The Response of Stock Market Volatility to Futures-Based Measures of Monetary Policy Shocks," FRB Atlanta Working Paper 2014-14, Federal Reserve Bank of Atlanta.
    31. Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
    32. Ngene, Geoffrey & Post, Jordin A. & Mungai, Ann N., 2018. "Volatility and shock interactions and risk management implications: Evidence from the U.S. and frontier markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 181-198.
    33. Michael McAleer & Christian M. Hafner, 2014. "A One Line Derivation of EGARCH," Tinbergen Institute Discussion Papers 14-069/III, Tinbergen Institute.
    34. Guochang Wang & Wai Keung Li & Ke Zhu, 2018. "New HSIC-based tests for independence between two stationary multivariate time series," Papers 1804.09866, arXiv.org.
    35. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    36. Chia-Lin Chang & Michael McAleer & Christine Lim, 2011. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Documentos de Trabajo del ICAE 2011-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    37. Kanas, Angelos, 2014. "Bond futures, inflation-indexed bonds, and inflation risk premium," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 82-99.
    38. Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
    39. Zolfaghari, Mehdi, 2023. "How does US tariff policy affect the relationship among crude oil, the US dollar and metal markets?," Resources Policy, Elsevier, vol. 85(PB).
    40. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    41. Tariq Aziz & Ranjeeta Sadhwani & Ume Habibah & Mazin A. M. Al Janabi, 2020. "Volatility Spillover Among Equity and Commodity Markets," SAGE Open, , vol. 10(2), pages 21582440209, May.
    42. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    43. Shiqing Ling & Michael McAleer, 2010. "A general asymptotic theory for time‐series models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(1), pages 97-111, February.
    44. Chia-Lin Chang & Michael McAleer, 2016. "A Simple Test for Causality in Volatility," Tinbergen Institute Discussion Papers 16-094/III, Tinbergen Institute.
    45. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    46. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "How are VIX and Stock Index ETF Related?," Documentos de Trabajo del ICAE 2016-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    47. Magdalena Vorzsak & Carmen Maria Gut, 2008. "Constraints Concerning Investment And Participation In Professional Training In The Companies From The Romanian Manufacturing Industry," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    48. Ben Rejeb, Aymen & Arfaoui, Mongi, 2014. "Financial market interdependencies: a quantile regression analysis of volatility spillover," MPRA Paper 61516, University Library of Munich, Germany.
    49. Chen, Min & Zhu, Ke, 2013. "Sign-based portmanteau test for ARCH-type models with heavy-tailed innovations," MPRA Paper 50487, University Library of Munich, Germany.
    50. El Hedi Arouri, Mohamed & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "World gold prices and stock returns in China: Insights for hedging and diversification strategies," Economic Modelling, Elsevier, vol. 44(C), pages 273-282.
    51. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    52. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    53. Ahmad, Wasim, 2017. "On the dynamic dependence and investment performance of crude oil and clean energy stocks," Research in International Business and Finance, Elsevier, vol. 42(C), pages 376-389.
    54. Asai Manabu & So Mike K. P., 2023. "Realized BEKK-CAW Models," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 49-77, January.
    55. Mika Meitz & Pentti Saikkonen & University of Helsinki, 2007. "Stability of nonlinear AR-GARCH models," Economics Series Working Papers 328, University of Oxford, Department of Economics.
    56. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.
    57. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    58. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    59. Hamadi, Hassan & Bassil, Charbel & Nehme, Tamara, 2017. "News surprises and volatility spillover among agricultural commodities: The case of corn, wheat, soybean and soybean oil," Research in International Business and Finance, Elsevier, vol. 41(C), pages 148-157.
    60. Chao Zhang & Xingyue Pu & Mihai Cucuringu & Xiaowen Dong, 2023. "Graph Neural Networks for Forecasting Multivariate Realized Volatility with Spillover Effects," Papers 2308.01419, arXiv.org.
    61. Massimiliano Caporin & Juan Ángel Jiménez Martín & Lydia González-Serrano, 2013. "Currency hedging strategies, strategic benchmarks and the Global and Euro Sovereign financial crises," Documentos de Trabajo del ICAE 2013-36, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    62. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    63. Rania Zghal & Fredj Amine Dammak & Semia Souai & Nejib Hachicha & Ahmed Ghorbel, 2025. "Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods," Post-Print hal-05291419, HAL.
    64. Christian M. Hafner & Helmut Herwartz, 2009. "Testing for linear vector autoregressive dynamics under multivariate generalized autoregressive heteroskedasticity," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 294-323, August.
    65. Tule, Moses & Dogo, Mela & Uzonwanne, Godfrey, 2018. "Volatility of stock market returns and the naira exchange rate," Global Finance Journal, Elsevier, vol. 35(C), pages 97-105.
    66. Benjamin Poignard & Jean-David Fermanian, 2016. "Vine-GARCH process: Stationarity and Asymptotic Properties," Working Papers 2016-03, Center for Research in Economics and Statistics.
    67. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    68. Amine Lahiani & Duc Khuong Nguyen & Thierry Vo, 2014. "Understanding return and volatility spillovers among major agricultural commodities," Working Papers 2014-243, Department of Research, Ipag Business School.
    69. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CIRJE F-Series CIRJE-F-676, CIRJE, Faculty of Economics, University of Tokyo.
    70. Ip, W.C. & Wong, Heung & Pan, J.Z. & Li, D.F., 2006. "The asymptotic convexity of the negative likelihood function of GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 50(2), pages 311-331, January.
    71. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    72. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan," Sustainability, MDPI, vol. 10(11), pages 1-77, November.
    73. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
    74. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    75. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    76. Sadorsky, Perry, 2014. "Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat," Energy Economics, Elsevier, vol. 43(C), pages 72-81.
    77. Jin, Xiaoye, 2015. "Asymmetry in return and volatility spillover between China's interbank and exchange T-bond markets," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 340-353.
    78. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    79. Corradi, Valentina & Iglesias, Emma M., 2008. "Bootstrap refinements for QML estimators of the GARCH(1,1) parameters," Journal of Econometrics, Elsevier, vol. 144(2), pages 500-510, June.
    80. Gabriele Fiorentini & Enrique Sentana, 2018. "Consistent Non-Gaussian Pseudo Maximum Likelihood Estimators," Working Papers wp2018_1802, CEMFI.
    81. Mélard, Guy, 2022. "An indirect proof for the asymptotic properties of VARMA model estimators," Econometrics and Statistics, Elsevier, vol. 21(C), pages 96-111.
    82. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    83. Conrad, Christian & Schienle, Melanie, 2019. "Testing for an omitted multiplicative long-term component in GARCH models," Working Paper Series in Economics 121, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    84. Sentana, Enrique & Fiorentini, Gabriele, 2018. "Specification tests for non-Gaussian maximum likelihood estimators," CEPR Discussion Papers 12934, C.E.P.R. Discussion Papers.
    85. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    86. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2018. "Latent Volatility Granger Causality and Spillovers in Renewable Energy and Crude Oil ETFs," Tinbergen Institute Discussion Papers 18-052/III, Tinbergen Institute.
    87. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    88. Constantin ANGHELACHE & Janusz GRABARA & Alexandru MANOLE, 2016. "Using the Dynamic Model ARMA to Forecast the Macroeconomic Evolution," Romanian Statistical Review Supplement, Romanian Statistical Review, vol. 64(1), pages 3-13, January.
    89. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    90. Lin, Boqiang & Chen, Yufang, 2019. "Dynamic linkages and spillover effects between CET market, coal market and stock market of new energy companies: A case of Beijing CET market in China," Energy, Elsevier, vol. 172(C), pages 1198-1210.
    91. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2011. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," Documentos de Trabajo del ICAE 2011-34, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    92. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Exchange Rate and Industrial Commodity Volatility Transmissions and Hedging Strategies," CIRJE F-Series CIRJE-F-668, CIRJE, Faculty of Economics, University of Tokyo.
    93. Dutta, Anupam & Bouri, Elie & Noor, Md Hasib, 2018. "Return and volatility linkages between CO2 emission and clean energy stock prices," Energy, Elsevier, vol. 164(C), pages 803-810.
    94. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.
    95. Seulki Chung, 2024. "Modelling and Forecasting Energy Market Volatility Using GARCH and Machine Learning Approach," Papers 2405.19849, arXiv.org.
    96. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    97. Jean-David Fermanian & Hassan Malongo, 2013. "On the Stationarity of Dynamic Conditional Correlation Models," Working Papers 2013-26, Center for Research in Economics and Statistics.
    98. Caporin, Massimiliano & Chang, Chia-Lin & McAleer, Michael, 2019. "Are the S&P 500 index and crude oil, natural gas and ethanol futures related for intra-day data?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 50-70.
    99. Peri, Massimo & Vandone, Daniela & Baldi, Lucia, 2014. "Worldwide Evidences in the Relationships between Agriculture, Energy and Water Sectors," 2014 International European Forum, February 17-21, 2014, Innsbruck-Igls, Austria 199346, International European Forum on System Dynamics and Innovation in Food Networks.
    100. Dutta, Anupam, 2018. "Implied volatility linkages between the U.S. and emerging equity markets: A note," Global Finance Journal, Elsevier, vol. 35(C), pages 138-146.
    101. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    102. Salisu, Afees A. & Vo, Xuan Vinh & Lucey, Brian, 2021. "Gold and US sectoral stocks during COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 57(C).
    103. Menelaos Karanasos, "undated". "The Covariance Structure of Component and Multivariate Garch Models," Discussion Papers 99/12, Department of Economics, University of York.
    104. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    105. Tiberiu Cristian Avramescu, 2008. "Romanian Tourism: A Regional Approach," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    106. Asma Abdallah & Ahmed Ghorbela, 2018. "Hedging Oil Prices with Renewable Energy Indices A Comparison between Various Multivariate Garch Versions," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 6(3), pages 74-86, April.
    107. Menelaos Karanasos, "undated". "Some Exact Formulae for the Constant Correlation and Diagonal M - Garch Models," Discussion Papers 00/14, Department of Economics, University of York.
    108. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    109. Walid Ben Omrane & Christian Hafner, 2015. "Macroeconomic news surprises and volatility spillover in foreign exchange markets," Empirical Economics, Springer, vol. 48(2), pages 577-607, March.
    110. Arouri, Mohamed El Hedi & Jouini, Jamel & Nguyen, Duc Khuong, 2012. "On the impacts of oil price fluctuations on European equity markets: Volatility spillover and hedging effectiveness," Energy Economics, Elsevier, vol. 34(2), pages 611-617.
    111. Faruk Urak & Abdulbaki Bilgic & Gürkan Bozma & Wojciech J. Florkowski & Erkan Efekan, 2022. "Volatility in Live Calf, Live Sheep, and Feed Wheat Return Markets: A Threat to Food Price Stability in Turkey," Agriculture, MDPI, vol. 12(4), pages 1-24, April.
    112. Mensi, Walid & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2022. "Spillovers and diversification benefits between oil futures and ASEAN stock markets," Resources Policy, Elsevier, vol. 79(C).
    113. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    114. Hafner, C.M. & Herwartz, H., 2003. "Analytical quasi maximum likelihood inference in multivariate volatility models," Econometric Institute Research Papers EI 2003-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    115. Carlos Esparcia & Tarek Fakhfakh & Francisco Jareño & Achraf Ghorbel, 2024. "Dynamic DeFi-G7 stock markets interactions and their potential role in diversifying and hedging strategies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-26, December.
    116. Guy Mélard, 2025. "Estimator’s Properties of Specific Time-Dependent Multivariate Time Series," Mathematics, MDPI, vol. 13(7), pages 1-23, March.
    117. Bozic, Marin & Fortenbery, T. Randall, 2012. "Price Discovery, Volatility Spillovers and Adequacy of Speculation," 2012 Conference, April 16-17, 2012, St. Louis, Missouri 285784, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    118. Šárka Brychtová, 2008. "Spa Healing Sources In Czech Republic," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    119. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    120. Raza, Naveed & Ali, Sajid & Shahzad, Syed Jawad Hussain & Raza, Syed Ali, 2018. "Do commodities effectively hedge real estate risk? A multi-scale asymmetric DCC approach," Resources Policy, Elsevier, vol. 57(C), pages 10-29.
    121. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    122. Gabriele Fiorentini & Enrique Sentana, 2007. "On the efficiency and consistency of likelihood estimation in multivariate conditionally heteroskedastic dynamic regression models," Working Paper series 38_07, Rimini Centre for Economic Analysis.
    123. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    124. Gabriele Fiorentini & Enrique Sentana, 2020. "Discrete Mixtures of Normals Pseudo Maximum Likelihood Estimators of Structural Vector Autoregressions," Working Papers wp2020_2023, CEMFI.
    125. Zihan Wang & Xinghao Qiao & Dong Li & Howell Tong, 2025. "On a new robust method of inference for general time series models," Papers 2503.08655, arXiv.org.
    126. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    127. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    128. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2012. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," KIER Working Papers 839, Kyoto University, Institute of Economic Research.
    129. Christina Amado & Timo Teräsvirta, 2008. "Modelling Conditional and Unconditional Heteroskedasticity with Smoothly Time-Varying Structure," CREATES Research Papers 2008-08, Department of Economics and Business Economics, Aarhus University.
    130. Chor-yiu SIN, 2004. "Estimation and Testing for Partially Nonstationary Vector Autoregressive Models with GARCH: WLS versus QMLE," Econometric Society 2004 North American Summer Meetings 476, Econometric Society.
    131. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    132. Mihaela Dragan & Zenovia Cristiana Pop, 2008. "CRITERIA FOR PRODUCT QUALITY IN THE FRAME OF INTERCULTURAL MARKET STRATEGIES OF SMALL AND MEDIUM SIZED ENTERPRISES - a brief review of literature -," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    133. Kirkulak-Uludag, Berna & Safarzadeh, Omid, 2021. "Exploring shock and volatility transmission between oil and Chinese industrial raw materials," Resources Policy, Elsevier, vol. 70(C).
    134. Aktham Maghyereh & Basel Awartani & Abul Hassan, 2018. "Can gold be used as a hedge against the risks of Sharia-compliant securities? Application for Islamic portfolio management," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 394-412, October.
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    145. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.
    146. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    147. Li, Linyuan & Duchesne, Pierre & Liou, Chu Pheuil, 2021. "On diagnostic checking in ARMA models with conditionally heteroscedastic martingale difference using wavelet methods," Econometrics and Statistics, Elsevier, vol. 19(C), pages 169-187.
    148. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    149. Etoundi Atenga, Eric Martial, 2014. "Asymmetric shocks, persistence in volatility and spillover effects between non ferrous metals on the LME spot market," MPRA Paper 61017, University Library of Munich, Germany.
    150. Chang, C-L. & Chen, C-C. & McAleer, M.J. & Chen, P-Y., 2013. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Econometric Institute Research Papers EI 2013-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    151. Zhu, Ke & Ling, Shiqing, 2014. "LADE-based inference for ARMA models with unspecified and heavy-tailed heteroscedastic noises," MPRA Paper 59099, University Library of Munich, Germany.
    152. Zhang, Chao & Pu, Xingyue & Cucuringu, Mihai & Dong, Xiaowen, 2025. "Forecasting realized volatility with spillover effects: Perspectives from graph neural networks," International Journal of Forecasting, Elsevier, vol. 41(1), pages 377-397.
    153. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    154. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    155. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    156. Hoti, Suhejla, 2005. "Comparative analysis of risk ratings for the East European region," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 449-462.
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    159. Zheng, Yao & Osmer, Eric, 2021. "Housing price dynamics: The impact of stock market sentiment and the spillover effect," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 854-867.
    160. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    161. Mika Meitz & Pentti Saikkonen & University of Helsinki, 2007. "Ergodicity, mixing, and existence of moments of a class of Markov models with applications to GARCH and ACD models," Economics Series Working Papers 327, University of Oxford, Department of Economics.
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    163. Abhisek Mahanta & Naresh Chandra Sahu & Pradeep Kumar Behera, 2026. "Sustainable Indices Outperforming Traditional Indices in India: A Comparative Study Pre and During COVID-19," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 33(1), pages 213-261, March.
    164. Khairulla Massadikov, 2021. "Volatility Spillovers between Oil Prices and Stock Returns in Developing Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 121-126.
    165. Yang, Yung-Lieh & Chang, Chia-Lin, 2008. "A double-threshold GARCH model of stock market and currency shocks on stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 458-474.
    166. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    167. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    168. Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
    169. Peter M Robinson & Paolo Zaffaroni, 2005. "Pseudo-Maximum Likelihood Estimation of ARCH(8) Models," STICERD - Econometrics Paper Series 495, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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    171. Walid Ben Omrane & Christian M. Hafner, 2009. "Information Spillover, Volatility and the Currency Markets," International Econometric Review (IER), Economic Research Association, vol. 1(1), pages 50-62, April.
    172. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    173. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
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    175. Rodolfo Angelo Magtanggol Iii De Guzman & Mike K. P. So, 2018. "Empirical Analysis Of Bitcoin Prices Using Threshold Time Series Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(04), pages 1-24, December.
    176. Manole Velicanu & Gheorghe Matei, 2008. "Decision Support Systems: Present And Future Trends," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    177. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.
    178. Neifar, Malika, 2020. "Multivariate GARCH Approaches: case of major sectorial Tunisian stock markets," MPRA Paper 99658, University Library of Munich, Germany.
    179. Monica Billio & Massimiliano Caporin, 2007. "Market linkages, variance spillovers and correlation stability: empirical evidences of financial contagion," Working Papers 2007_18, Department of Economics, University of Venice "Ca' Foscari".
    180. Rosella Giacometti & Gabriele Torri & Kamonchai Rujirarangsan & Michela Cameletti, 2023. "Spatial Multivariate GARCH Models and Financial Spillovers," JRFM, MDPI, vol. 16(9), pages 1-23, September.
    181. Lujia Bai & Weichi Wu, 2021. "Detecting long-range dependence for time-varying linear models," Papers 2110.08089, arXiv.org, revised Mar 2023.
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    183. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    184. Agya Atabani Adi, 2017. "Returns Effect, Shocks and Volatility Transmission between Foreign Exchange-Stock Markets in Nigeria," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 3(1), pages 29-38, March.
    185. Massimiliano Caporin & Michael McAleer, 2010. "Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models," CIRJE F-Series CIRJE-F-713, CIRJE, Faculty of Economics, University of Tokyo.
    186. Mohammad Alomari & David. M. Power & Nongnuch Tantisantiwong, 2018. "Determinants of equity return correlations: a case study of the Amman Stock Exchange," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 33-66, January.
    187. Liu, Jing & Zhang, Jun, 2025. "Horizontal or vertical spillover: A study on the risk propagation mechanism of China's renewable energy industry chain," Renewable Energy, Elsevier, vol. 249(C).
    188. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's Major Trading Partners across the GFC," Tinbergen Institute Discussion Papers 14-106/III, Tinbergen Institute.
    189. Amrouk, El Mamoun & Grosche, Stephanie-Carolin & Heckelei, Thomas, "undated". "An analysis of the interdependence between cash crop and staple food futures prices," Discussion Papers 265665, University of Bonn, Institute for Food and Resource Economics.
    190. Brini, Alessio & Toscano, Giacomo, 2025. "SpotV2Net: Multivariate intraday spot volatility forecasting via vol-of-vol-informed graph attention networks," International Journal of Forecasting, Elsevier, vol. 41(3), pages 1093-1111.
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    193. Christian Conrad & Menelaos Karanasos, 2008. "Negative Volatility Spillovers in the Unrestricted ECCC-GARCH Model," KOF Working papers 08-189, KOF Swiss Economic Institute, ETH Zurich.
    194. Junttila, Juha & Pesonen, Juho & Raatikainen, Juhani, 2018. "Commodity market based hedging against stock market risk in times of financial crisis: The case of crude oil and gold," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 56(C), pages 255-280.
    195. Fernandes, Marcelo & Medeiros, Marcelo C. & Veiga, Alvaro, 2013. "A (semi-)parametric functional coefficient autoregressive conditional duration model," Textos para discussão 343, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    196. Massimiliano Caporin & Michael McAleer, 2009. "A Scientific Classification of Volatility Models," Documentos de Trabajo del ICAE 2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    197. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    198. Simon Hetland, 2020. "Spectral Targeting Estimation of $\lambda$-GARCH models," Papers 2007.02588, arXiv.org.
    199. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    200. Cristina Silvia Nistor & Crina Ioana Filip & Adela Deaconu, 2008. "Derivative Instruments – Alternatives To Cover The Foreign Exchange Rate In The Case Of Import-Export Operations - Accounting Approach For Romania," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    201. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    202. Sugra Humbatova & Afag Huseyn & Natig Gadim-Oglu Hajiyev, 2023. "Impact of Oil Factor on Investment: The Case of Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 129-148, March.
    203. Alexandre Subbotin, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    204. Zouheir Mighri & Majid Ibrahim Alsaggaf, 2019. "Volatility Spillovers among the Cryptocurrency Time Series," International Journal of Economics and Financial Issues, Econjournals, vol. 9(3), pages 81-90.
    205. Sadorsky, Perry, 2012. "Correlations and volatility spillovers between oil prices and the stock prices of clean energy and technology companies," Energy Economics, Elsevier, vol. 34(1), pages 248-255.
    206. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    207. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2009. "How Volatile is ENSO?," CIRJE F-Series CIRJE-F-635, CIRJE, Faculty of Economics, University of Tokyo.
    208. Abdeljalil Settar & Nadia Idrissi Fatmi & Mohammed Badaoui, 2021. "New Approach in Dealing with the Non-Negativity of the Conditional Variance in the Estimation of GARCH Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(1), pages 55-74, March.
    209. Chang, C-L. & McAleer, M.J. & Wang, Y-A., 2016. "Modelling Volatility Spillovers for Bio-ethanol, Sugarcane and Corn Spot and Futures Prices," Econometric Institute Research Papers EI2016-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    210. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-031/III, Tinbergen Institute.
    211. Chia-Lin Chang & Michael McAleer & Yu-Ann Wang, 2016. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn," Documentos de Trabajo del ICAE 2016-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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    213. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    214. Caporin, Massimiliano & Malik, Farooq, 2020. "Do structural breaks in volatility cause spurious volatility transmission?," Journal of Empirical Finance, Elsevier, vol. 55(C), pages 60-82.
    215. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    216. Massimo PERI & Daniela VANDONE & Lucia BALDI, 2014. "Water, Food, Energy: Searching for the Economic Nexus," Departmental Working Papers 2014-03, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
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    218. Wang, Xunxiao, 2020. "Frequency dynamics of volatility spillovers among crude oil and international stock markets: The role of the interest rate," Energy Economics, Elsevier, vol. 91(C).
    219. Chia-Lin Chang & Michael McAleer, 2018. "The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions," Tinbergen Institute Discussion Papers 17-015/III, Tinbergen Institute.
    220. Khalfaoui, R & Boutahar, M, 2012. "Portfolio risk evaluation: An approach based on dynamic conditional correlations models and wavelet multiresolution analysis," MPRA Paper 41624, University Library of Munich, Germany.
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    222. Emma M. Iglesias & Garry D.A. Phillips, 2004. "Multivariate Arch Models: Finite Sample Properties Of Ml Estimators And An Application To An Lm-Type Test," Working Papers. Serie AD 2004-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    223. Christian M. Dahl & Emma M. Iglesias, 2008. "The limiting properties of the QMLE in a general class of asymmetric volatility models," CREATES Research Papers 2008-38, Department of Economics and Business Economics, Aarhus University.
    224. Rafiqul Bhuyan & Mohammad Robbani & Bakhtear Talukder, 2021. "Oil Volatility Spillover into Oil Dependent Equity-Sector Stock Returns: Evidence from Major Oil Producing Countries," Bulletin of Applied Economics, Risk Market Journals, vol. 8(1), pages 149-165.
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    230. Chang, Chia-Lin & McAleer, Michael, 2017. "The correct regularity condition and interpretation of asymmetry in EGARCH," Economics Letters, Elsevier, vol. 161(C), pages 52-55.
    231. Iglesias-Casal, Ana & López-Penabad, María-Celia & López-Andión, Carmen & Maside-Sanfiz, José Manuel, 2020. "Diversification and optimal hedges for socially responsible investment in Brazil," Economic Modelling, Elsevier, vol. 85(C), pages 106-118.
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    234. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    235. Cristina Curutiu, 2008. "Methods Of Portfolio Management - A Review Of Literature -," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    236. Dimitrios Kartsonakis-Mademlis & Nikolaos Dritsakis, 2020. "Does the Choice of the Multivariate GARCH Model on Volatility Spillovers Matter? Evidence from Oil Prices and Stock Markets in G7 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 164-182.
    237. Francesco Audrino & Marcelo C. Medeiros, 2008. "Smooth Regimes, Macroeconomic Variables, and Bagging for the Short-Term Interest Rate Process," University of St. Gallen Department of Economics working paper series 2008 2008-16, Department of Economics, University of St. Gallen.
    238. Heung Wong & W. Li & Shiqing Ling, 2005. "Joint modeling of cointegration and conditional heteroscedasticity with applications," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 57(1), pages 83-103, March.
    239. Dey Shubhasis & Sampath Aravind, 2017. "Dynamic Linkages between Gold and Equity Prices: Evidence from Indian Financial Services and Information Technology Companies," Working papers 251, Indian Institute of Management Kozhikode.
    240. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
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    244. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.
    245. Partenie Dumbrava & Ioan Pop & Eniko Fazakas & Jozsef Fazakas & Ludovica Breban, 2008. "The Environmental Impact Of Beer Production," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    246. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2009. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working Papers 0905, University of Nevada, Las Vegas , Department of Economics.
    247. Hakim, M.S. & McAleer, M.J., 2009. "Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence," Econometric Institute Research Papers EI 2009-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    248. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    249. Rania Zghal & Fredj Amine Dammak & Semia Souai & Nejib Hachicha & Ahmed Ghorbel, 2025. "Which Sectoral CDS Can More Effectively Hedge Conventional and Islamic Dow Jones Indices? Evidence from the COVID-19 Outbreak and Bubble Crypto Currency Periods," Risks, MDPI, vol. 13(10), pages 1-33, September.
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    252. Alireza Saranj & Mehdi Zolfaghari, 2025. "Trading behavior-stock market volatility nexus among institutional and individual investors," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-50, December.
    253. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    254. Pedro Pires Ribeiro & José Dias Curto, 2017. "Volatility spillover effects in interbank money markets," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 105-136, February.
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    383. Guo, Shaojun & Ling, Shiqing & Zhu, Ke, 2013. "Factor double autoregressive models with application to simultaneous causality testing," MPRA Paper 51570, University Library of Munich, Germany.
    384. Vo, Xuan Vinh & Ellis, Craig, 2018. "International financial integration: Stock return linkages and volatility transmission between Vietnam and advanced countries," Emerging Markets Review, Elsevier, vol. 36(C), pages 19-27.
    385. Song, Feng & Cui, Jian & Yu, Yihua, 2022. "Dynamic volatility spillover effects between wind and solar power generations: Implications for hedging strategies and a sustainable power sector," Economic Modelling, Elsevier, vol. 116(C).
    386. Annastiina Silvennoinen & Timo Teräsvirta, 2017. "Consistency and asymptotic normality of maximum likelihood estimators of a multiplicative time-varying smooth transition correlation GARCH model," CREATES Research Papers 2017-28, Department of Economics and Business Economics, Aarhus University.
    387. Eric Hillebrand & Marcelo C. Medeiros & Junyue Xu, 2012. "Asymptotic Theory for Regressions with Smoothly Changing Parameters," CREATES Research Papers 2012-31, Department of Economics and Business Economics, Aarhus University.
    388. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    389. Lee, Sangyeol & Song, Junmo, 2008. "Test for parameter change in ARMA models with GARCH innovations," Statistics & Probability Letters, Elsevier, vol. 78(13), pages 1990-1998, September.
    390. Duchesne, Pierre, 2006. "Testing for multivariate autoregressive conditional heteroskedasticity using wavelets," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2142-2163, December.
    391. Arfaoui, Mongi & Chkili, Walid & Ben Rejeb, Aymen, 2022. "Asymmetric and dynamic links in GCC Sukuk-stocks: Implications for portfolio management before and during the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    392. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    393. Van Le & Bao Khac Quoc Nguyen, 2025. "Is the Fintech Era Making Us Happy?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 178(3), pages 1391-1409, July.
    394. Arfaoui Mongi & Haj Ali Dhouha, 2016. "Do Structural Breaks Affect Portfolio Designs and Hedging Strategies? International Evidence from Stock-Commodity Markets Linkages," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 252-270.
    395. Wang, Kai-Li & Fawson, Christopher & Chen, Mei-Ling & Wu, An-Chi, 2014. "Characterizing information flows among spot, deliverable forward and non-deliverable forward exchange rate markets: A cross-country comparison," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 115-137.
    396. Conrad, Christian & Schienle, Melanie, 2015. "Misspecification Testing in GARCH-MIDAS Models," Working Papers 0597, University of Heidelberg, Department of Economics.
    397. Conrad, Christian & Loch, Karin & Rittler, Daniel, 2014. "On the macroeconomic determinants of long-term volatilities and correlations in U.S. stock and crude oil markets," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 26-40.
    398. M. Karanasos & S. Yfanti & J. Hunter, 2022. "Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises," Annals of Operations Research, Springer, vol. 313(2), pages 1077-1116, June.
    399. Y.K. Tse & Albert K.C. Tsui, 2000. "A Multivariate GARCH Model with Time-Varying Correlations," Econometrics 0004007, University Library of Munich, Germany.
    400. Ciarreta Antuñano, Aitor & Zárraga Alonso, Ainhoa, 2012. "Analysis of volatility transmissions in integrated and interconnected markets: The case of the Iberian and French markets," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    401. Mohamed El Hédi Arouri & Amine Lahiani & Duc Khuong Nguyen, 2012. "Oil-stock volatility transmission, portfolio selection and hedging," Economics Bulletin, AccessEcon, vol. 32(4), pages 2768-2778.
    402. Arfaoui Mongi & Ben Rejeb Aymen, 2015. "Return Dynamics and Volatility Spillovers Between FOREX and Stock Markets in MENA Countries: What to Remember for Portfolio Choice?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 46(1), pages 72-100, June.
    403. Peri, M. & Vandone, D. & Baldi, L., 2015. "Volatility Spillover between Water, Food and Energy," 2015 Conference, August 9-14, 2015, Milan, Italy 212627, International Association of Agricultural Economists.
    404. Wang, Yiding & Zhao, Xiaojun & Shang, Junyan, 2025. "Dynamic risk spillover in green financial markets: A wavelet frequency analysis from China," Energy Economics, Elsevier, vol. 143(C).
    405. Bouoiyour, Jamal & Selmi, Refk & Miftah, Amal, 2015. "“Every cloud has a silver lining”; to what extent does the Arab Spring accelerate the integration among Arab monarchies?," MPRA Paper 70942, University Library of Munich, Germany.
    406. Nguyen, Khanh Quoc, 2022. "The correlation between the stock market and Bitcoin during COVID-19 and other uncertainty periods," Finance Research Letters, Elsevier, vol. 46(PA).
    407. Lin, Boqiang & Wesseh, Presley K. & Appiah, Michael Owusu, 2014. "Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness," Energy Economics, Elsevier, vol. 42(C), pages 172-182.
    408. S. Yfanti & M. Karanasos & J. Wu & P. Vourvachis, 2025. "Short- and long-run cross-border European sustainability interdependences," Annals of Operations Research, Springer, vol. 347(1), pages 579-610, April.
    409. Anton Bekkerman, 2011. "Time‐varying hedge ratios in linked agricultural markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 179-200, August.
    410. Randy I. Anderson & Hany Guirguis & Anthony L Loviscek, 2023. "Do Preferred REITs Have Portfolio Enhancement Attributes? An Empirical Investigation," The Journal of Real Estate Finance and Economics, Springer, vol. 67(4), pages 656-672, November.
    411. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    412. Smales, L.A., 2021. "Geopolitical risk and volatility spillovers in oil and stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 358-366.
    413. Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2012. "A Closed-Form Solution of the Multi-Period Portfolio Choice Problem for a Quadratic Utility Function," Papers 1207.1003, arXiv.org, revised Nov 2014.
    414. Yang, Kun & Wei, Yu & Li, Shouwei & He, Jianmin, 2020. "Asymmetric risk spillovers between Shanghai and Hong Kong stock markets under China’s capital account liberalization," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    415. Phume, Maphelane Palesa & Bonga-Bonga, Lumengo, 2018. "Return and volatility spillovers between South African and Nigerian equity markets," MPRA Paper 87638, University Library of Munich, Germany.
    416. Mehmet Balcilar & Riza Demirer & Rangan Gupta, 2017. "Do Sustainable Stocks Offer Diversification Benefits for Conventional Portfolios? An Empirical Analysis of Risk Spillovers and Dynamic Correlations," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
    417. Francesco Audrino & Marcelo Cunha Medeiros, 2010. "Modeling and Forecasting Short-term Interest Rates: The Benefits of Smooth Regimes, Macroeconomic Variables, and Bagging," Textos para discussão 570, Department of Economics PUC-Rio (Brazil).
    418. Andreea Halunga & Chris D. Orme, 2007. "First order asymptotic theory for parametric misspecification tests of GARCH models," Economics Discussion Paper Series 0721, Economics, The University of Manchester.
    419. M. Karanasos & S. Yfanti & A. Christopoulos, 2021. "The long memory HEAVY process: modeling and forecasting financial volatility," Annals of Operations Research, Springer, vol. 306(1), pages 111-130, November.
    420. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.
    421. Thomas Chuffart & Emmanuel Flachaire & Anne Peguin-Feissolle, 2018. "Testing for misspecification in the short-run component of GARCH-type models," Post-Print hal-02083772, HAL.
    422. Fernández, Begoña & Muriel, Nelson, 2009. "Regular variation and related results for the multivariate GARCH(p,q) model with constant conditional correlations," Journal of Multivariate Analysis, Elsevier, vol. 100(7), pages 1538-1550, August.
    423. Esta Lestari, 2010. "Volatility Spillover Effects in East Asian Capital Markets: A Case Study of the Real Estate Sectors," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 58, pages 57-82, April.
    424. Massimo Peri & Daniela Vandone & Lucia Baldi, 2017. "Volatility Spillover between Water, Energy and Food," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    425. Hafner, Christian M. & Preminger, Arie, 2009. "On asymptotic theory for multivariate GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 100(9), pages 2044-2054, October.
    426. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2019. "Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility," CESifo Working Paper Series 8000, CESifo.
    427. Muzammil Khurshid & Muhammad Azeem & Nisar Ahmad, 2023. "Volatility Spillovers From The Japanese Stock Market To Emerging Stock Markets," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(2), pages 118-125.
    428. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.
    429. Jeffrey Chu & Stephen Chan & Saralees Nadarajah & Joerg Osterrieder, 2017. "GARCH Modelling of Cryptocurrencies," JRFM, MDPI, vol. 10(4), pages 1-15, October.
    430. Adrian Grosanu & Paula Ramona Rachisan, 2008. "The Implementation Of Profit Centres Inside An Economic Entity," JOURNAL STUDIA UNIVERSITATIS BABES-BOLYAI NEGOTIA, Babes-Bolyai University, Faculty of Business.
    431. Morema, Kgotso & Bonga-Bonga, Lumengo, 2018. "The impact of oil and gold price fluctuations on the South African equity market: volatility spillovers and implications for portfolio management," MPRA Paper 87637, University Library of Munich, Germany.
    432. Anupam Dutta & Md Hasib Noor, 2017. "Oil and non-energy commodity markets: An empirical analysis of volatility spillovers and hedging effectiveness," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1324555-132, January.
    433. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.
    434. Jouini, Jamel & Harrathi, Nizar, 2014. "Revisiting the shock and volatility transmissions among GCC stock and oil markets: A further investigation," Economic Modelling, Elsevier, vol. 38(C), pages 486-494.
    435. Caner Ozdurak & Alican Umut & Tugba Ozay, 2022. "The Interaction of Major Crypto-assets, Clean Energy, and Technology Indices in Diversified Portfolios," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 480-490, March.
    436. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    437. See-Nie Lee & Fan-Fah Cheng & Chee-Wooi Hooy & Mohamed Hisham Dato Haji Yahya, 2017. "Volatility Contagion in Selected Six Asian Countries: Evidence from Country Debt Risk and Determinant Indicators," International Journal of Business and Administrative Studies, Professor Dr. Bahaudin G. Mujtaba, vol. 3(2), pages 36-55.
    438. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.
    439. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    440. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    441. Maghyereh, Aktham I. & Awartani, Basel & Tziogkidis, Panagiotis, 2017. "Volatility spillovers and cross-hedging between gold, oil and equities: Evidence from the Gulf Cooperation Council countries," Energy Economics, Elsevier, vol. 68(C), pages 440-453.
    442. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    443. Paul Catani & Timo Teräsvirta & Meiqun Yin, 2014. "A Lagrange Multiplier Test for Testing the Adequacy of the Constant Conditional Correlation GARCH Model," CREATES Research Papers 2014-03, Department of Economics and Business Economics, Aarhus University.

  278. Shiqing Ling & Michael McAleer, 2001. "Stationarity and the Existence of Moments of a Family of GARCH Processes," ISER Discussion Paper 0535, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Modelling the asymmetric volatility of anti-pollution patents in the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 179-197, February.
    4. Haas, Markus, 2010. "Covariance forecasts and long-run correlations in a Markov-switching model for dynamic correlations," Finance Research Letters, Elsevier, vol. 7(2), pages 86-97, June.
    5. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    6. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    8. Markus Haas, 2018. "A note on the absolute moments of the bivariate normal distribution," Economics Bulletin, AccessEcon, vol. 38(1), pages 650-656.
    9. Saidi, Youssef & Zakoian, Jean-Michel, 2006. "Stationarity and geometric ergodicity of a class of nonlinear ARCH models," MPRA Paper 61988, University Library of Munich, Germany, revised 2006.
    10. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    11. Accolley, Delali, 2021. "Some Markov-Switching Models for the Toronto Stock Exchange," MPRA Paper 108072, University Library of Munich, Germany.
    12. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Chia-Lin Chang & Michael McAleer & Christine Lim, 2011. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Documentos de Trabajo del ICAE 2011-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    16. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.
    17. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    18. Li, Johnny Siu-Hang & Liu, Yanxin & Chan, Wai-Sum, 2023. "Hedging longevity risk under non-Gaussian state-space stochastic mortality models: A mean-variance-skewness-kurtosis approach," Insurance: Mathematics and Economics, Elsevier, vol. 113(C), pages 96-121.
    19. Manh Ha Nguyen & Olivier Darné, 2018. "Forecasting and risk management in the Vietnam Stock Exchange," Working Papers halshs-01679456, HAL.
    20. Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing unconditional skewness in models for financial time series," CREATES Research Papers 2008-07, Department of Economics and Business Economics, Aarhus University.
    21. Carnero, M. Ángeles & León, Ángel & Ñíguez, Trino-Manuel, 2025. "New bounds for tail risk measures," Finance Research Letters, Elsevier, vol. 75(C).
    22. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    23. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    24. Smallwood, Aaron D., 2019. "Analyzing exchange rate uncertainty and bilateral export growth in China: A multivariate GARCH-based approach," Economic Modelling, Elsevier, vol. 82(C), pages 332-344.
    25. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    27. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    28. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    29. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    30. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    31. Marcelo Cunha Medeiros & Alvaro Veiga, 2004. "Modelling multiple regimes in financial volatility with a flexible coefficient GARCH model," Textos para discussão 486, Department of Economics PUC-Rio (Brazil).
    32. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    33. Andreï Kostyrka & Dmitry Malakhov, 2021. "Was there ever a shift: Empirical analysis of structural-shift tests for return volatility," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 61, pages 110-139.
    34. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    35. Baur, Dirk G. & Dimpfl, Thomas & Kuck, Konstantin, 2018. "Bitcoin, gold and the US dollar – A replication and extension," Finance Research Letters, Elsevier, vol. 25(C), pages 103-110.
    36. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    37. Zhang, Yue-Jun & Yao, Ting & He, Ling-Yun & Ripple, Ronald, 2019. "Volatility forecasting of crude oil market: Can the regime switching GARCH model beat the single-regime GARCH models?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 302-317.
    38. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    39. Francisco Blasques & Enzo D'Innocenzo & Siem Jan Koopman, 2021. "Common and Idiosyncratic Conditional Volatility Factors: Theory and Empirical Evidence," Tinbergen Institute Discussion Papers 21-057/III, Tinbergen Institute.
    40. Brüggemann, Ralf & Jentsch, Carsten & Trenkler, Carsten, 2014. "Inference in VARs with Conditional Heteroskedasticity of Unknown Form," Working Papers 14-21, University of Mannheim, Department of Economics.
    41. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.
    42. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    43. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    44. Chang, C-L. & Chen, C-C. & McAleer, M.J. & Chen, P-Y., 2013. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Econometric Institute Research Papers EI 2013-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    45. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    46. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    47. Cavaliere, Giuseppe & Taylor, A. M. Robert & Trenkler, Carsten, 2013. "Bootstrap Co-integration Rank Testing: The Effect of Bias-Correcting Parameter Estimates," Working Papers 32993, University of Mannheim, Department of Economics.
    48. Hoti, Suhejla, 2005. "Comparative analysis of risk ratings for the East European region," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 449-462.
    49. Mika Meitz & Pentti Saikkonen & University of Helsinki, 2007. "Ergodicity, mixing, and existence of moments of a class of Markov models with applications to GARCH and ACD models," Economics Series Working Papers 327, University of Oxford, Department of Economics.
    50. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," Post-Print hal-01943883, HAL.
    51. Yang, Yung-Lieh & Chang, Chia-Lin, 2008. "A double-threshold GARCH model of stock market and currency shocks on stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 458-474.
    52. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    53. Shekar Bose & Hafizur Rahman, 2022. "Are News Effects Necessarily Asymmetric? Evidence from Bangladesh Stock Market," SAGE Open, , vol. 12(4), pages 21582440221, October.
    54. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    55. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
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    57. Elena Andreou & Eric Ghysels, 2001. "Detecting Mutiple Breaks in Financial Market Volatility Dynamics," CIRANO Working Papers 2001s-65, CIRANO.
    58. Manabu Asai, 2013. "Heterogeneous Asymmetric Dynamic Conditional Correlation Model with Stock Return and Range," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 469-480, August.
    59. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.
    60. Matteo Manera & Michael McAleer & Margherita Grasso, 2006. "Modelling time-varying conditional correlations in the volatility of Tapis oil spot and forward returns," Applied Financial Economics, Taylor & Francis Journals, vol. 16(7), pages 525-533.
    61. Abdou Kâ Diongue & Dominique Guegan & Rodney C. Wolff, 2008. "Exact Maximum Likelihood estimation for the BL-GARCH model under elliptical distributed innovations," Post-Print halshs-00270719, HAL.
    62. Amélie Charles & Olivier Darné, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Post-Print hal-01598141, HAL.
    63. Humphred Watard & Saidou Baba Oumar & Nkiendem Felix, 2024. "Volatility spillover effect analysis of African emerging stock exchange markets: 2018–2023," SN Business & Economics, Springer, vol. 4(10), pages 1-30, October.
    64. Kovačić, Zlatko, 2007. "Forecasting volatility: Evidence from the Macedonian stock exchange," MPRA Paper 5319, University Library of Munich, Germany.
    65. Alexandre Subbotin, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    66. Francq, Christian & Zakoian, Jean-Michel, 2024. "Finite moments testing in a general class of nonlinear time series models," MPRA Paper 121193, University Library of Munich, Germany.
    67. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    68. He, Yongda & Lin, Boqiang, 2023. "Is market power the cause of asymmetric pricing in China's refined oil market?," Energy Economics, Elsevier, vol. 124(C).
    69. Marcelo C. Medeiros & Eduardo F. Mendes, 2015. "l1-Regularization of High-Dimensional Time-Series Models with Flexible Innovations," Textos para discussão 636, Department of Economics PUC-Rio (Brazil).
    70. Watkins, Clinton & McAleer, Michael, 2005. "Related commodity markets and conditional correlations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 567-579.
    71. Luis Gil-Alana, 2010. "Testing persistence in the context of conditional heteroscedasticity errors," Applied Financial Economics, Taylor & Francis Journals, vol. 20(22), pages 1709-1723.
    72. Charles, Amélie & Darné, Olivier, 2014. "Volatility persistence in crude oil markets," Energy Policy, Elsevier, vol. 65(C), pages 729-742.
    73. Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.
    74. Haas, Markus, 2009. "Persistence in volatility, conditional kurtosis, and the Taylor property in absolute value GARCH processes," Statistics & Probability Letters, Elsevier, vol. 79(15), pages 1674-1683, August.
    75. Amélie Charles & Olivier Darné, 0. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-24.
    76. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    77. Francq, Christian & Zakoïan, Jean-Michel, 2022. "Testing the existence of moments for GARCH processes," Journal of Econometrics, Elsevier, vol. 227(1), pages 47-64.
    78. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.
    79. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    80. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    81. Tao, Juan & Green, Christopher J., 2012. "Asymmetries, causality and correlation between FTSE100 spot and futures: A DCC-TGARCH-M analysis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 26-37.
    82. Giam Quang Do & Michael Mcaleer & Songsak Sriboonchitta, 2009. "Effects of international gold market on stock exchange volatility: evidence from asean emerging stock markets," Economics Bulletin, AccessEcon, vol. 29(2), pages 599-610.
    83. Harvey, A. & Chakravarty, T., 2008. "Beta-t-(E)GARCH," Cambridge Working Papers in Economics 0840, Faculty of Economics, University of Cambridge.
    84. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.
    85. Parvesh K. Chopra & Gopal K. Kanji, 2010. "On Measuring Country Risk: A new System Modelling Approach - La misura del rischio paese: un nuovo approccio system modelling," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(4), pages 479-515.
    86. Aknouche, Abdelhakim & Bentarzi, Mohamed, 2008. "On the existence of higher-order moments of periodic GARCH models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3262-3268, December.
    87. Carol Alexander & Emese Lazar & Silvia Stanescu, 2010. "Analytic Moments for GARCH Processes," ICMA Centre Discussion Papers in Finance icma-dp2011-07, Henley Business School, University of Reading, revised Apr 2011.
    88. Chris D. Orme & Takashi Yamagata, 2014. "A Heteroskedasticity-Robust F -Test Statistic for Individual Effects," Econometric Reviews, Taylor & Francis Journals, vol. 33(5-6), pages 431-471, August.
    89. Felix Chan & Michael McAleer, 2002. "Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 509-534.
    90. Yue-Jun Zhang & Ting Yao & Ling-Yun He, 2015. "Forecasting crude oil market volatility: can the Regime Switching GARCH model beat the single-regime GARCH models?," Papers 1512.01676, arXiv.org.
    91. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    92. Verhoeven, Peter & McAleer, Michael, 2004. "Fat tails and asymmetry in financial volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 351-361.
    93. Harvey,Andrew C., 2013. "Dynamic Models for Volatility and Heavy Tails," Cambridge Books, Cambridge University Press, number 9781107034723, Enero-Abr.
    94. Amélie Charles & Olivier Darné & Laurent Ferrara, 2018. "Does The Great Recession Imply The End Of The Great Moderation? International Evidence," Economic Inquiry, Western Economic Association International, vol. 56(2), pages 745-760, April.
    95. Mawuli Segnon & Stelios Bekiros, 2020. "Forecasting volatility in bitcoin market," Annals of Finance, Springer, vol. 16(3), pages 435-462, September.
    96. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Pérez-Amaral, 0000. "Has the Basel II Accord Encouraged Risk Management during the 2008-09 Financial Crisis?," Tinbergen Institute Discussion Papers 09-039/4, Tinbergen Institute.
    97. Zhang, Xingfa & Zhang, Rongmao & Li, Yuan & Ling, Shiqing, 2022. "LADE-based inferences for autoregressive models with heavy-tailed G-GARCH(1, 1) noise," Journal of Econometrics, Elsevier, vol. 227(1), pages 228-240.
    98. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    99. Felix Chan & Michael McAleer & Marcelo C. Medeiros, 2010. "Structure and Asymptotic Theory for Nonlinear Models with GARCH Errors," Working Papers in Economics 10/79, University of Canterbury, Department of Economics and Finance.
    100. Smeekes, S. & Urbain, J.R.Y.J., 2014. "A multivariate invariance principle for modified wild bootstrap methods with an application to unit root testing," Research Memorandum 008, Maastricht University, Graduate School of Business and Economics (GSBE).
    101. Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006. "Modeling dynamic conditional correlations in WTI oil forward and futures returns," Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
    102. Lee, O. & Shin, D. W., 2004. "Strict stationarity and mixing properties of asymmetric power GARCH models allowing a signed volatility," Economics Letters, Elsevier, vol. 84(2), pages 167-173, August.
    103. Ngai Sze Han & Shiqing Ling, 2017. "Goodness-Of-Fit Test For Nonlinear Time Series Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-21, June.
    104. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CIRJE F-Series CIRJE-F-663, CIRJE, Faculty of Economics, University of Tokyo.
    105. Behmiri, Niaz Bashiri & Manera, Matteo, 2015. "The role of outliers and oil price shocks on volatility of metal prices," Resources Policy, Elsevier, vol. 46(P2), pages 139-150.
    106. Alexander Subbotin & Thierry Chauveau & Kateryna Shapovalova, 2009. "Volatility Models: from GARCH to Multi-Horizon Cascades," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00390636, HAL.
    107. Medeiros, Marcelo C. & Mendes, Eduardo F., 2016. "ℓ1-regularization of high-dimensional time-series models with non-Gaussian and heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 191(1), pages 255-271.
    108. Kazakevicius, Vytautas & Leipus, Remigijus & Viano, Marie-Claude, 2004. "Stability of random coefficient ARCH models and aggregation schemes," Journal of Econometrics, Elsevier, vol. 120(1), pages 139-158, May.
    109. Maake, Tebogo & Bonga-Bonga, Lumengo, 2019. "The relationship between carry trade and asset markets in South Africa," MPRA Paper 96667, University Library of Munich, Germany.
    110. Christian Conrad & Robert F. Engle, 2025. "Modelling Volatility Cycles: The MF2‐GARCH Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 40(4), pages 438-454, June.
    111. Muthucattu Thomas Paul, 2018. "The Issues and Implications About the Volatility of the Stock and the Bond Prices and Their Returns and the Volatility of Interest Rates and Inflation - Which Are Being Researched in Finance and Macro-Monetary Economics Literature: A Survey," Applied Economics and Finance, Redfame publishing, vol. 5(2), pages 125-142, March.
    112. Choi, M.S. & Park, J.A. & Hwang, S.Y., 2012. "Asymmetric GARCH processes featuring both threshold effect and bilinear structure," Statistics & Probability Letters, Elsevier, vol. 82(3), pages 419-426.
    113. Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.
    114. Karanasos, Menelaos & Kim, Jinki, 2006. "A re-examination of the asymmetric power ARCH model," Journal of Empirical Finance, Elsevier, vol. 13(1), pages 113-128, January.
    115. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    116. León, Ángel & Ñíguez, Trino-Manuel, 2020. "Modeling asset returns under time-varying semi-nonparametric distributions," Journal of Banking & Finance, Elsevier, vol. 118(C).
    117. George Kapetanios & Elias Tzavalis, 2006. "Stochastic Volatility Driven by Large Shocks," Working Papers 568, Queen Mary University of London, School of Economics and Finance.
    118. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    119. Bartolomé, Ana & McAleer, Michael & Ramos, Vicente & Rey-Maquieira, Javier, 2009. "A risk map of international tourist regions in Spain," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2741-2758.
    120. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    121. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
    122. Leeves, Gareth, 2007. "Asymmetric volatility of stock returns during the Asian crisis: Evidence from Indonesia," International Review of Economics & Finance, Elsevier, vol. 16(2), pages 272-286.
    123. Alex Huang, 2011. "Volatility Modeling by Asymmetrical Quadratic Effect with Diminishing Marginal Impact," Computational Economics, Springer;Society for Computational Economics, vol. 37(3), pages 301-330, March.
    124. Chu, L. & McAleer, M.J. & Chen, C-C., 2009. "How Volatile is ENSO?," Econometric Institute Research Papers EI 2009-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    125. Ha, Jeongcheol & Lee, Taewook, 2011. "NM-QELE for ARMA-GARCH models with non-Gaussian innovations," Statistics & Probability Letters, Elsevier, vol. 81(6), pages 694-703, June.
    126. Lönnbark, Carl, 2017. "Long vs. short term asymmetry in volatility and the term structure of risk," Finance Research Letters, Elsevier, vol. 23(C), pages 202-209.
    127. Białkowski, Jędrzej & Bohl, Martin T. & Kaufmann, Philipp & Wisniewski, Tomasz P., 2013. "Do mutual fund managers exploit the Ramadan anomaly? Evidence from Turkey," Emerging Markets Review, Elsevier, vol. 15(C), pages 211-232.
    128. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    129. Ng, Hock Guan & McAleer, Michael, 2004. "Recursive modelling of symmetric and asymmetric volatility in the presence of extreme observations," International Journal of Forecasting, Elsevier, vol. 20(1), pages 115-129.
    130. Xuejie Feng & Chiping Zhang, 2020. "A Perturbation Method to Optimize the Parameters of Autoregressive Conditional Heteroscedasticity Model," Computational Economics, Springer;Society for Computational Economics, vol. 55(3), pages 1021-1044, March.
    131. Francq, Christian & Zakoian, Jean-Michel, 2021. "Testing the existence of moments and estimating the tail index of augmented garch processes," MPRA Paper 110511, University Library of Munich, Germany.
    132. Marco Bee & Debbie J. Dupuis & Luca Trapin, 2016. "US stock returns: are there seasons of excesses?," Quantitative Finance, Taylor & Francis Journals, vol. 16(9), pages 1453-1464, September.
    133. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.
    134. Hoti, Suhejla & McAleer, Michael & Chan, Felix, 2005. "Modelling the spillover effects in the volatility of atmospheric carbon dioxide concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 46-56.
    135. Grier, Kevin B. & Smallwood, Aaron D., 2013. "Exchange rate shocks and trade: A multivariate GARCH-M approach," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 282-305.
    136. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    137. Sang Hoon Kang & SEONG-MIN YOON, 2008. "Asymmetry and Long Memory Features in Volatility: Evidence From Korean Stock Market," Korean Economic Review, Korean Economic Association, vol. 24, pages 383-412.
    138. Cuong Nguyen & M. Bhatti & Aziz Hayat, 2014. "Volatility linkages in the spot and futures market in Australia: a copula approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2589-2603, September.
    139. Wang, Kai-Li & Fawson, Christopher & Chen, Mei-Ling & Wu, An-Chi, 2014. "Characterizing information flows among spot, deliverable forward and non-deliverable forward exchange rate markets: A cross-country comparison," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 115-137.
    140. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, Enero-Abr.
    141. Wan, Xiaoli & Yan, Yuruo & Zeng, Zhixiong, 2020. "Exchange rate regimes and market integration: evidence from the dynamic relations between renminbi onshore and offshore markets," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    142. Li, Dong & Li, Muyi & Wu, Wuqing, 2014. "On dynamics of volatilities in nonstationary GARCH models," Statistics & Probability Letters, Elsevier, vol. 94(C), pages 86-90.
    143. So, Mike K.P. & Chung, Ray S.W., 2015. "Statistical inference for conditional quantiles in nonlinear time series models," Journal of Econometrics, Elsevier, vol. 189(2), pages 457-472.
    144. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.
    145. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.
    146. Andreu Sansó & Vicent Aragó & Josep Lluís Carrion, 2003. "Testing for Changes in the Unconditional Variance of Financial Time Series," DEA Working Papers 5, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    147. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.
    148. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    149. Kyungwon Kim & Jae Wook Song, 2020. "Detecting Possible Reduction of the Housing Bubble in Korea for Different Residential Types and Regions," Sustainability, MDPI, vol. 12(3), pages 1-31, February.
    150. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    151. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    152. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  279. Felix Chan & Michael McAleer, 2001. "Estimating Smooth Transition Autoregressive Models with GARCH Errors in the Presence of Extreme Observations and Outliers," ISER Discussion Paper 0539, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. F. Javier Trivez & Beatriz Catalan, 2009. "Detecting level shifts in ARMA-GARCH (1,1) Models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 36(6), pages 679-697.
    2. Giorgio Busetti & Matteo Manera, 2003. "STAR-GARCH Models for Stock Market Interactions in the Pacific Basin Region, Japan and US," Working Papers 2003.43, Fondazione Eni Enrico Mattei.
    3. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    4. Melike Bildirici & Nilgun Guler Bayazit & Yasemen Ucan, 2020. "Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM," Energies, MDPI, vol. 13(11), pages 1-18, June.
    5. Maringer Dietmar G. & Meyer Mark, 2008. "Smooth Transition Autoregressive Models -- New Approaches to the Model Selection Problem," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(1), pages 1-21, March.
    6. Oleg Tsatsura, 2010. "A Smooth Transition GARCH-M Model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 17(1), pages 45-61.
    7. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
    8. Claude Diebolt & Mohamed Chikhi, 2021. "Testing The Weak Form Efficiency Of The French Etf Market With Lstar-Anlstgarch Approach Using A Semiparametric Estimation," Working Papers 09-21, Association Française de Cliométrie (AFC).
    9. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben & Chevallier, Julien, 2020. "Asymmetric volatility in cryptocurrency markets: New evidence from smooth transition GARCH models," Finance Research Letters, Elsevier, vol. 35(C).
    10. Melike Bildirici & Işıl Şahin Onat & Özgür Ömer Ersin, 2023. "Forecasting BDI Sea Freight Shipment Cost, VIX Investor Sentiment and MSCI Global Stock Market Indicator Indices: LSTAR-GARCH and LSTAR-APGARCH Models," Mathematics, MDPI, vol. 11(5), pages 1-27, March.
    11. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    12. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    13. Omay, Tolga & Iren, Perihan, 2019. "Behavior of foreign investors in the Malaysian stock market in times of crisis: A nonlinear approach," Journal of Asian Economics, Elsevier, vol. 60(C), pages 85-100.
    14. Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers 03-19, Association Française de Cliométrie (AFC).
    15. Murat Midilic, 2016. "Estimation Of Star-Garch Models With Iteratively Weighted Least Squares," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/918, Ghent University, Faculty of Economics and Business Administration.
    16. Par Sjolander, 2010. "A stationary unbiased finite sample ARCH-LM test procedure," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 1019-1033.
    17. Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.
    18. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.
    19. Chan, Felix & Theoharakis, Billy, 2011. "Estimating m-regimes STAR-GARCH model using QMLE with parameter transformation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1385-1396.
    20. Petri Maki-Franti, 2008. "Money and stock returns: is there habit formation for holding liquid assets?," International Economic Journal, Taylor & Francis Journals, vol. 22(1), pages 63-80.
    21. Hubner, Stefan, 2016. "Topics in nonparametric identification and estimation," Other publications TiSEM 08fce56b-3193-46e0-871b-0, Tilburg University, School of Economics and Management.
    22. Glen Livingston & Darfiana Nur, 2020. "Bayesian inference of smooth transition autoregressive (STAR)(k)–GARCH(l, m) models," Statistical Papers, Springer, vol. 61(6), pages 2449-2482, December.
    23. Murat Midiliç, 2020. "Estimation of STAR–GARCH Models with Iteratively Weighted Least Squares," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 87-117, January.
    24. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    25. Yen-Hsien Lee & Fang Hao, 2012. "Oil and S&P 500 Markets: Evidence from the Nonlinear Model," International Journal of Economics and Financial Issues, Econjournals, vol. 2(3), pages 272-280.

  280. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Degiannakis, Stavros, 2004. "Forecasting Realized Intra-day Volatility and Value at Risk: Evidence from a Fractional Integrated Asymmetric Power ARCH Skewed-t Model," MPRA Paper 80488, University Library of Munich, Germany.
    2. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.
    3. Shiqing Ling & W. K. Li & Michael McAleer, 2003. "Estimation and Testing for Unit Root Processes with GARCH (1, 1) Errors: Theory and Monte Carlo Evidence," CIRJE F-Series CIRJE-F-207, CIRJE, Faculty of Economics, University of Tokyo.
    4. Angelidis, Timotheos & Degiannakis, Stavros, 2005. "Modeling Risk for Long and Short Trading Positions," MPRA Paper 80467, University Library of Munich, Germany.
    5. Shiqing Ling & Michael McAleer, 2001. "On Adaptive Estimation in Nonstationary ARMA Models with GARCH Errors," ISER Discussion Paper 0548, Institute of Social and Economic Research, The University of Osaka.
    6. Maghyereh Aktham Issa & Awartani Basel, 2012. "Modeling and Forecasting Value-at-Risk in the UAE Stock Markets: The Role of Long Memory, Fat Tails and Asymmetries in Return Innovations," Review of Middle East Economics and Finance, De Gruyter, vol. 8(1), pages 1-22, August.
    7. Eunju Hwang, 2021. "Limit Theory for Stationary Autoregression with Heavy-Tailed Augmented GARCH Innovations," Mathematics, MDPI, vol. 9(8), pages 1-10, April.
    8. Stavros Degiannakis, 2004. "Volatility forecasting: evidence from a fractional integrated asymmetric power ARCH skewed-t model," Applied Financial Economics, Taylor & Francis Journals, vol. 14(18), pages 1333-1342.
    9. Stavros Degiannakis & Alexandra Livada & Epaminondas Panas, 2008. "Rolling-sampled parameters of ARCH and Levy-stable models," Applied Economics, Taylor & Francis Journals, vol. 40(23), pages 3051-3067.
    10. Verhoeven, Peter & Pilgram, Berndt & McAleer, Michael & Mees, Alistair, 2002. "Non-linear modelling and forecasting of S&P 500 volatility," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 233-241.
    11. Shiqing Ling & Michael McAleer, 2001. "Necessary and Sufficient Moment Conditions for the GARCH(r,s) and Asymmetric Power GARCH(r,s) Models," ISER Discussion Paper 0534, Institute of Social and Economic Research, The University of Osaka.
    12. Ling, Shiqing, 2007. "Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models," Journal of Econometrics, Elsevier, vol. 140(2), pages 849-873, October.
    13. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    14. Sandrine Lardic & Valérie Mignon, 2004. "Robert F. Engle et Clive W.J. Granger prix Nobel d'économie 2003," Revue d'économie politique, Dalloz, vol. 114(1), pages 1-15.

  281. Shiqing Ling & W. K. Li & Michael McAleer, 2001. "Estimation and Testing for Unit Root Processes with GARCH(1,1) Errors: Theory and Monte Carlo Evidence," ISER Discussion Paper 0544, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Berkes, István & Hörmann, Siegfried & Horváth, Lajos, 2008. "The functional central limit theorem for a family of GARCH observations with applications," Statistics & Probability Letters, Elsevier, vol. 78(16), pages 2725-2730, November.
    2. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
    3. Lucchetti, Riccardo & Palomba, Giulio, 2009. "Nonlinear adjustment in US bond yields: An empirical model with conditional heteroskedasticity," Economic Modelling, Elsevier, vol. 26(3), pages 659-667, May.
    4. Chor-yiu SIN, 2004. "Estimation and Testing for Partially Nonstationary Vector Autoregressive Models with GARCH: WLS versus QMLE," Econometric Society 2004 North American Summer Meetings 476, Econometric Society.
    5. W. K. Li & Shiqing Ling & Michael McAleer, 2001. "A Survey of Recent Theoretical Results for Time Series Models with GARCH Errors," ISER Discussion Paper 0545, Institute of Social and Economic Research, The University of Osaka.
    6. Escribano, Álvaro & Peña, Juan Ignacio & Villaplana Conde, Pablo, 2002. "Modeling electricity prices: international evidence," UC3M Working papers. Economics we022708, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Matei Demetrescu, 2010. "On the Dickey–Fuller test with White standard errors," Statistical Papers, Springer, vol. 51(1), pages 11-25, January.
    8. Anton Skrobotov, 2020. "Survey on structural breaks and unit root tests," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 58, pages 96-141.
    9. Iman Cheratian & Saleh Goltabar & Luis A. Gil-Alaña, 2023. "The unemployment hysteresis by territory, gender, and age groups in Iran," SN Business & Economics, Springer, vol. 3(2), pages 1-18, February.
    10. Brendan K. Beare, 2018. "Unit Root Testing with Unstable Volatility," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 816-835, November.
    11. Westerlund, Joakim, 2014. "On the choice of test for a unit root when the errors are conditionally heteroskedastic," Computational Statistics & Data Analysis, Elsevier, vol. 69(C), pages 40-53.
    12. Par Sjolander, 2010. "A stationary unbiased finite sample ARCH-LM test procedure," Applied Economics, Taylor & Francis Journals, vol. 43(8), pages 1019-1033.
    13. Cook, Steven, 2008. "Joint maximum likelihood estimation of unit root testing equations and GARCH processes: Some finite-sample issues," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 109-116.
    14. Li, Yushu & Shukur, Ghazi, 2009. "Testing for Unit Root against LSTAR Model: Wavelet Improvement under GARCH Distortion," CAFO Working Papers 2009:6, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
    15. Nikolaos Kourogenis & Nikitas Pittis, 2008. "Testing for a unit root under errors with just barely infinite variance," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(6), pages 1066-1087, November.
    16. Chor-yiu SIN, 2004. "Estimation and Testing for Partially Nonstationary Vector Autoregressive Models with GARCH: WLS versus QMLE," Econometric Society 2004 Australasian Meetings 92, Econometric Society.
    17. Ploberger, Werner & Phillips, Peter C.B., 2012. "Optimal estimation under nonstandard conditions," Journal of Econometrics, Elsevier, vol. 169(2), pages 258-265.
    18. Canepa, Alessandra, 2022. "Ination Dynamics and Time-Varying Persistence: The Importance of the Uncertainty Channel," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202211, University of Turin.
    19. Riccardo LUCCHETTI & Giulio PALOMBA, 2006. "Forecasting US bond yields at weekly frequency," Working Papers 261, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    20. Paulo M. M. Rodrigues & Antonio Rubia, 2004. "On the Small Sample Properties of Dickey Fuller and Maximum Likelihood Unit Root Tests on Discrete-Sampled Short-Term Interest Rates," Econometrics 0405004, University Library of Munich, Germany.
    21. Neil Kellard & Denise Osborn & Jerry Coakley & Christian Conrad & Menelaos Karanasos, 2015. "On the Transmission of Memory in Garch-in-Mean Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 706-720, September.
    22. Matei Demetrescu & Christoph Hanck, 2013. "Nonlinear IV panel unit root testing under structural breaks in the error variance," Statistical Papers, Springer, vol. 54(4), pages 1043-1066, November.
    23. Yaya, OlaOluwa S & Akinlana, Damola M & Ogbonna, Ahamuefula E, 2017. "Investigating Structural break-GARCH-based Unit root test in US exchange rates," MPRA Paper 88768, University Library of Munich, Germany.
    24. Wang, Gaowen, 2006. "A note on unit root tests with heavy-tailed GARCH errors," Statistics & Probability Letters, Elsevier, vol. 76(10), pages 1075-1079, May.
    25. Lucchetti, Riccardo & Palomba, Giulio, 2008. "Nonlinear Adjustment in US Bond Yields: an Empirical Analysis with Conditional Heteroskedasticity," MPRA Paper 11571, University Library of Munich, Germany.
    26. Bernard Njindan Iyke, 2019. "A Test of the Efficiency of the Foreign Exchange Market in Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(12th BMEB), pages 439-464, January.
    27. Nikolay Gospodinov & Ye Tao, 2011. "Bootstrap Unit Root Tests in Models with GARCH(1,1) Errors," Econometric Reviews, Taylor & Francis Journals, vol. 30(4), pages 379-405, August.
    28. Strohsal, Till & Weber, Enzo, 2011. "Mean-variance cointegration and the expectations hypothesis," SFB 649 Discussion Papers 2011-007, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    29. Gospodinov, Nikolay, 2008. "Asymptotic and bootstrap tests for linearity in a TAR-GARCH(1,1) model with a unit root," Journal of Econometrics, Elsevier, vol. 146(1), pages 146-161, September.
    30. Friedrich, Marina & Lin, Yicong, 2024. "Sieve bootstrap inference for linear time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 239(1).
    31. Salisu, Afees A. & Adeleke, Adegoke I., 2016. "Further application of Narayan and Liu (2015) unit root model for trending time series," Economic Modelling, Elsevier, vol. 55(C), pages 305-314.
    32. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    33. Cavaliere, Giuseppe & Taylor, A.M. Robert, 2007. "Testing for unit roots in time series models with non-stationary volatility," Journal of Econometrics, Elsevier, vol. 140(2), pages 919-947, October.
    34. Canepa, Alessandra, 2024. "Inflation dynamics and persistence: The importance of the uncertainty channel," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).

  282. Ling, S. & McAleer, M., 2001. "Regression Quantiles for Unstable Autoregressive Models," ISER Discussion Paper 0526, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. D. M. Mahinda Samarakoon & Keith Knight, 2009. "A Note on Unit Root Tests with Infinite Variance Noise," Econometric Reviews, Taylor & Francis Journals, vol. 28(4), pages 314-334.
    2. Paulo M.M. Rodrigues & Uwe Hassler, 2012. "Quantile regression for long memory testing: A case of realized volatility," Working Papers w201207, Banco de Portugal, Economics and Research Department.
    3. Guodong Li & Yang Li & Chih-Ling Tsai, 2015. "Quantile Correlations and Quantile Autoregressive Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(509), pages 246-261, March.
    4. Christis Katsouris, 2022. "Asymptotic Theory for Unit Root Moderate Deviations in Quantile Autoregressions and Predictive Regressions," Papers 2204.02073, arXiv.org, revised Aug 2023.

  283. Christine Lim & Michael McAleer, 2001. "Time Series Forecasts of International Tourism Demand for Australia," ISER Discussion Paper 0533, Institute of Social and Economic Research, The University of Osaka.

    Cited by:

    1. Oscar Claveria, 2017. "“What really matters is the economic performance: Positioning tourist destinations by means of perceptual maps”," AQR Working Papers 201707, University of Barcelona, Regional Quantitative Analysis Group, revised Jul 2017.
    2. George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 19/06, Monash University, Department of Econometrics and Business Statistics.
    3. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    4. Li, Cheng & Ge, Peng & Liu, Zhusheng & Zheng, Weimin, 2020. "Forecasting tourist arrivals using denoising and potential factors," Annals of Tourism Research, Elsevier, vol. 83(C).
    5. Tan Vo Thanh, 2010. "Prévision de la demande touristique par méthodes Delphi et Box-Jenkins : Application à la destination du Vietnam," Post-Print hal-02544954, HAL.
    6. Luis Alberiko Gil-Alaña, 2010. "Tourism in South Africa. Time series persistence and the nature of shocks. Are they transitory or permament?," NCID Working Papers 06/2011, Navarra Center for International Development, University of Navarra.
    7. Burcu Kiran, 2010. "The Structure of Tourism Revenues in Turkey: Evidence from Fractional Integration under Multiple Structural Breaks," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 85-96.
    8. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    9. Juncal Cuñado & Luis A. Gil-Alaña, 2007. "Tourism in the Canary Islands: Forecasting Using Several Seasonal Time Series Models," Faculty Working Papers 02/07, School of Economics and Business Administration, University of Navarra.
    10. José María Martín Martín & Juan De Dios Jiménez Aguilera & Valentín Molina Moreno, 2014. "Impacts of Seasonality on Environmental Sustainability in the Tourism Sector Based on Destination Type: An Application to Spain'S Andalusia Region," Tourism Economics, , vol. 20(1), pages 123-142, February.
    11. Boopen, Seetanah, 2005. "Transport Capital as a Determinant of Tourism Development: A Time Series Approach," MPRA Paper 25402, University Library of Munich, Germany, revised 07 Nov 2006.
    12. José María Martín Martín & Jose Antonio Salinas Fernández & José Antonio Rodríguez Martín & Juan De Dios Jiménez Aguilera, 2017. "Assessment of the Tourism’s Potential as a Sustainable Development Instrument in Terms of Annual Stability: Application to Spanish Rural Destinations in Process of Consolidation," Sustainability, MDPI, vol. 9(10), pages 1-20, September.
    13. C. Petropoulos & K. Nikolopoulos & A. Patelis & V. Assimakopoulos, 2005. "A technical analysis approach to tourism demand forecasting," Applied Economics Letters, Taylor & Francis Journals, vol. 12(6), pages 327-333.
    14. Naudé, Wim & Saayman, Andrea, 2005. "Determinants of tourist arrivals in Africa: a panel data regression analysis," MPRA Paper 16479, University Library of Munich, Germany.
    15. Biljana Petrevska, 2012. "Forecasting International Tourism Demand: The Evidence Of Macedonia," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 3(1), pages 45-55.
    16. Smiljana Pivčević & Zvonimir Kuliš & Neven Šerić, 2016. "The pull factors of tourism demand: a panel data analysis for Latin American and Carribean countries," Tourism and Hospitality Industry 24, University of Rijeka, Faculty of Tourism and Hospitality Management.
    17. Paresh Kumar Narayan, 2006. "Are Australia's tourism markets converging?," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1153-1162.

  284. Franses, P.H. & McAleer, M., 1995. "Testing Nested and Non-Nested Periodically Integrated Autoregressive Models," Papers 9510, Tilburg - Center for Economic Research.

    Cited by:

    1. Clements, M.P. & Smith, J., 1997. "Forecasting Seasonal UK Consumption Components," The Warwick Economics Research Paper Series (TWERPS) 487, University of Warwick, Department of Economics.
    2. Smith, Jeremy & Otero, Jesus, 1997. "Structural breaks and seasonal integration," Economics Letters, Elsevier, vol. 56(1), pages 13-19, September.
    3. Franses, Philip Hans & McAleer, Michael, 1997. "Testing periodically integrated autoregressive models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 457-465.
    4. Maekawa, Koichi, 1997. "Periodically integrated autoregression with a structural break," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 467-473.

  285. Keuzenkamp, H.A. & McAleer, M., 1994. "Simplicity, scientific inference and econometric modelling," Discussion Paper 1994-56, Tilburg University, Center for Economic Research.

    Cited by:

    1. Keuzenkamp, Hugo A. & Magnus, Jan R., 1995. "On tests and significance in econometrics," Journal of Econometrics, Elsevier, vol. 67(1), pages 5-24, May.
    2. Bernd Hayo, 2017. "On Standard-Error-Decreasing Complementarity: Why Collinearity is Not the Whole Story," MAGKS Papers on Economics 201703, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    3. Kakarot-Handtke, Egmont, 2003. "How to Get Rid of Demand–Supply–Equilibrium for Good," MPRA Paper 46917, University Library of Munich, Germany.
    4. Kakarot-Handtke, Egmont, 2013. "Redemption and Depression," MPRA Paper 50924, University Library of Munich, Germany.
    5. Kakarot-Handtke, Egmont, 2013. "The Ideal Economy: A Prototype," MPRA Paper 51582, University Library of Munich, Germany.
    6. Lutkepohl, Helmut, 2007. "General-to-specific or specific-to-general modelling? An opinion on current econometric terminology," Journal of Econometrics, Elsevier, vol. 136(1), pages 319-324, January.
    7. Keuzenkamp, Hugo A. & McAleer, Michael, 1997. "The complexity of simplicity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 553-561.
    8. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    9. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    10. Kakarot-Handtke, Egmont, 2011. "The propensity function as formal passkey to economic action," MPRA Paper 34051, University Library of Munich, Germany.
    11. Kakarot-Handtke, Egmont, 2011. "Keynes’s missing axioms," MPRA Paper 32742, University Library of Munich, Germany, revised 11 Aug 2011.
    12. Kakarot-Handtke, Egmont, 2015. "Essentials of Constructive Heterodoxy: Behavior," MPRA Paper 64035, University Library of Munich, Germany.
    13. Kakarot-Handtke, Egmont, 2015. "Essentials of Constructive Heterodoxy: The Market," MPRA Paper 61236, University Library of Munich, Germany.
    14. Phillips, Peter C. B., 2002. "New unit root asymptotics in the presence of deterministic trends," Journal of Econometrics, Elsevier, vol. 111(2), pages 323-353, December.
    15. Kakarot-Handtke, Egmont, 2013. "Understanding Profit and the Markets: The Canonical Model," MPRA Paper 48691, University Library of Munich, Germany.
    16. Kakarot-Handtke, Egmont, 2013. "Say’s Law: A Rigorous Restatement," MPRA Paper 52550, University Library of Munich, Germany.
    17. Hubbard, Raymond & Lindsay, R. Murray, 2013. "From significant difference to significant sameness: Proposing a paradigm shift in business research," Journal of Business Research, Elsevier, vol. 66(9), pages 1377-1388.
    18. Kakarot-Handtke, Egmont, 2012. "Intertwined real and monetary stochastic business cycles," MPRA Paper 42793, University Library of Munich, Germany.
    19. Kakarot-Handtke, Egmont, 2011. "Primary and secondary markets," MPRA Paper 32996, University Library of Munich, Germany.

  286. McAleer, M. & McKenzie, C.R. & Pesaren, M.H., 1993. "Cointegration and Direct Tests of the Rational Expectations Hypothesis," Cambridge Working Papers in Economics 9306, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Ganegodage, K. Renuka & Rambaldi, Alicia N., 2014. "Economic consequences of war: Evidence from Sri Lanka," Journal of Asian Economics, Elsevier, vol. 30(C), pages 42-53.
    2. Lim, Lee Kian, 1995. "Cointegration and an error correction model of money demand for Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 293-297.
    3. Maiko Koga, 2005. "The Decline of Japan's Saving Rate and Demographic Effects," Bank of Japan Working Paper Series 05-E-10, Bank of Japan.
    4. Marzio Galeotti & Matteo Manera & Alessandro Lanza, 2009. "On the Robustness of Robustness Checks of the Environmental Kuznets Curve Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 42(4), pages 551-574, April.
    5. Galeotti, Marzio & Lanza, Alessandro & Manera, Matteo, 2003. "Rockets and feathers revisited: an international comparison on European gasoline markets," Energy Economics, Elsevier, vol. 25(2), pages 175-190, March.
    6. Marzio Galeotti & Matteo Manera & Alessandro Lanza, 2006. "On the Robustness of Robustness Checks of the Environmental Kuznets Curve," Working Papers 2006.22, Fondazione Eni Enrico Mattei.

  287. Barten, A.P. & Mcaleer, M., 1991. "Comparing The Empirical Perfomance Of Alternative Demand Systems," Papers 9002a, Tilburg - Center for Economic Research.

    Cited by:

    1. Matteo Manera & Bruno Sitzia, 2005. "Empirical factor demands and flexible functional forms: a bayesian approach," Economic Systems Research, Taylor & Francis Journals, vol. 17(1), pages 57-75.
    2. Matteo Manera & Michael McAleer, 2001. "Testing Multiple Non-nested Factor Demand Systems," ISER Discussion Paper 0543, Institute of Social and Economic Research, The University of Osaka.
    3. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    4. C. O'Sullivan, 1991. "An Examination of the Role of Costs in the Allocation of Government Outlays: Part 2," Economics Discussion / Working Papers 91-14, The University of Western Australia, Department of Economics.
    5. Howard Doran, 1993. "Testing Nonnested Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(1), pages 95-103.

  288. McAleer, M. & Smith, J., 1990. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Papers 219, Australian National University - Department of Economics.

    Cited by:

    1. Alexandros Botsis & Christoph Görtz & Plutarchos Sakellaris, 2024. "Quantifying Qualitative Survey Data with Panel Data Structure," CESifo Working Paper Series 11013, CESifo.
    2. Paul Frijters & John P. Haisken-DeNew & Michael Shields, 2003. "How Well Do Individuals Predict Their Future Life Satisfaction? Rationality and Learning Following a Nationwide Exogenous Shock," CEPR Discussion Papers 468, Centre for Economic Policy Research, Research School of Economics, Australian National University.
    3. Pierre L Siklos, 2010. "Relative Price Shocks, Inflation Expectations, and the Role of Monetary Policy," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    4. Ullrich, Katrin, 2007. "Inflation Expectations of Experts and ECB Communication," ZEW Discussion Papers 07-054, ZEW - Leibniz Centre for European Economic Research.
    5. Kevin Lee & Kalvinder Shields, 2004. "Business survey forecasts and measurement of output trends in five European economies," Money Macro and Finance (MMF) Research Group Conference 2003 52, Money Macro and Finance Research Group.
    6. Driver, Ciaran & Muñoz-Bugarin, Jair, 2019. "Financial constraints on investment: Effects of firm size and the financial crisis," Research in International Business and Finance, Elsevier, vol. 47(C), pages 441-457.
    7. Tomasz Lyziak, 2010. "Measurement of perceived and expected inflation on the basis of consumer survey data," IFC Working Papers 5, Bank for International Settlements.
    8. Juan G Brida & Bibiana Lanzilotta & Lucia I Rosich, 2021. "On the empirical relations between producers expectations and economic growth," Economics Bulletin, AccessEcon, vol. 41(3), pages 1970-1982.
    9. António Rua & Cláudia Duarte & Francisco Craveiro Dias, 2009. "Inflation Perceptions and Expectations in the Euro Area and Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    10. Tomislav Globan & Vladimir Arčabić & Petar Sorić, 2014. "Inflation in New EU Member States: A Domestically or Externally Driven Phenomenon?," EFZG Working Papers Series 1405, Faculty of Economics and Business, University of Zagreb.
    11. Driver, Ciaran & Temple, Paul & Urga, Giovanni, 2008. "Real options -- delay vs. pre-emption: Do industrial characteristics matter?," International Journal of Industrial Organization, Elsevier, vol. 26(2), pages 532-545, March.
    12. James Mitchell & Richard J. Smith & Martin R. Weale, 2002. "Quantification of Qualitative Firm-Level Survey Data," Economic Journal, Royal Economic Society, vol. 112(478), pages 117-135, March.
    13. Lahiri, Kajal & Zhao, Yongchen, 2015. "Quantifying survey expectations: A critical review and generalization of the Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 31(1), pages 51-62.
    14. Tomasz Lyziak, 2010. "Measuring consumer inflation expectations in Europe and examining their forward-lookingness," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The IFC's contribution to the 57th ISI Session, Durban, August 2009, volume 33, pages 155-201, Bank for International Settlements.
    15. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    16. Francisco Dias & Cláudia Duarte & António Rua, 2010. "Inflation expectations in the euro area: are consumers rational?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 146(3), pages 591-607, September.
    17. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    18. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    19. Juan Gabriel Brida & Bibiana Lanzilotta & Lucía Rosich, 2019. "Common trends in producers’ expectations, the nonlinear linkage with Uruguayan GDP and its implications in economic growth forecasting," Documentos de Trabajo (working papers) 19-28, Instituto de Economía - IECON.
    20. Lanzilotta M., Bibiana, 2014. "Expectations and industrial output in Uruguay: Sectoral interdependence and common trends," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    21. Maurizio Bovi, 2016. "The tale of two expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2677-2705, November.
    22. Frijters, Paul & de New, John & Shields, Michael A., 2002. "Individual Rationality and Learning: Welfare Expectations in East Germany Post-Reunification," IZA Discussion Papers 498, IZA Network @ LISER.
    23. Troy D. Matheson & James Mitchell & Brian Silverstone, 2010. "Nowcasting and predicting data revisions using panel survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(3), pages 313-330.
    24. James Mitchell & Richard J. Smith & Martin R. Weale, 2005. "Forecasting Manufacturing Output Growth Using Firm‐Level Survey Data," Manchester School, University of Manchester, vol. 73(4), pages 479-499, July.
    25. David Shepherd & Ciaran Driver, 2003. "Inflation and Capacity Constraints in Australian Manufacturing Industry," The Economic Record, The Economic Society of Australia, vol. 79(245), pages 182-195, June.
    26. Richard De Abreu Lourenco & Philip Lowe, 1994. "Demand Shocks, Inflation and the Business Cycle," RBA Research Discussion Papers rdp9411, Reserve Bank of Australia.
    27. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    28. Ivana Lolic & Petar Soric & Mirjana Cizmesija, 2017. "Disentangling the Relationship between News Media and Consumers' Inflation Sentiment: the Case of Croatia," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(3), pages 221-249, June.
    29. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    30. Victor Bystrov & Anna Staszewska-Bystrova, 2010. "On the power of direct tests for rational expectations against the alternative of constant gain learning," Bank i Kredyt, Narodowy Bank Polski, vol. 41(6), pages 71-84.
    31. Enrico D’Elia, 2005. "Using the results of qualitative surveys in quantitative analysis," ISAE Working Papers 56, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    32. Santiago Pinto & Pierre-Daniel G. Sarte & Robert Sharp, 2015. "Learning About Consumer Uncertainty from Qualitative Surveys: As Uncertain As Ever," Working Paper 15-9, Federal Reserve Bank of Richmond.
    33. Ray Barrell, 1999. "Employment Security and European Labour Demand: A Panel Study Across 16 Industries," National Institute of Economic and Social Research (NIESR) Discussion Papers 148, National Institute of Economic and Social Research.
    34. Dr Martin Weale & Dr. James Mitchell, 2005. "Forecasting manufacturing output growth using firm-level survey data," National Institute of Economic and Social Research (NIESR) Discussion Papers 251, National Institute of Economic and Social Research.
    35. Pierre L. Siklos, 2012. "Sources of Disagreement in Inflation Forecasts: An International Empirical Investigation," CAMA Working Papers 2012-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    36. Botsis, Alexandros & Görtz, Christoph & Sakellaris, Plutarchos, 2024. "Quantifying qualitative survey data with panel data," Journal of Economic Dynamics and Control, Elsevier, vol. 167(C).
    37. Troy Matheson & James Mitchell & Brian Silverstone, 2007. "Nowcasting and predicting data revisions in real time using qualitative panel survey data," Reserve Bank of New Zealand Discussion Paper Series DP2007/02, Reserve Bank of New Zealand.
    38. Bovi, Maurizio, 2013. "Are the representative agent’s beliefs based on efficient econometric models?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 633-648.
    39. Ciaran Driver & Katsushi Imai & Paul Temple & Giovanni Urga, 2002. "The Effect of Uncertainty on UK Investment Authorisation: Pooled Estimators vs. Heterogeneous Estimators1," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B3-4, International Conferences on Panel Data.
    40. Oscar Claveria, 2021. "Forecasting with Business and Consumer Survey Data," Forecasting, MDPI, vol. 3(1), pages 1-22, February.
    41. Christian Mueller & Aniela Wirz & Nora Sydow, 2007. "A Note on the Carlson-Parkin Method of Quantifying Qualitative Data," KOF Working papers 07-168, KOF Swiss Economic Institute, ETH Zurich.
    42. Ciaran Driver & Paul Temple & Giovanni Urga, 2005. "Contrasts Between Classes of Assets in Fixed Investment Equations as a Way of Testing Real Option Theory," School of Economics Discussion Papers 0805, School of Economics, University of Surrey.
    43. Ciaran Driver & Giovanni Urga, 2004. "Transforming Qualitative Survey Data: Performance Comparisons for the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 71-89, February.
    44. Alexandros Botsis & Christoph Gortz & Plutarchos Sakellaris, 2023. "Quantifying Qualitative Survey Data: New Insights on the (Ir)Rationality of Firms' Forecasts," Discussion Papers 23-06, Department of Economics, University of Birmingham.
    45. Chris M. Alaouze, 2003. "A modified logit model for time series with an application to the pricing behaviour of manufacturing firms in Australia," Empirical Economics, Springer, vol. 28(3), pages 599-613, July.
    46. Bibiana Lanzilotta Mernies, 2016. "Taxonomia y Dinamica de las Expectativas Economicas de los Empresarios Industriales en Uruguay. Un Analisis de Conglomerados," Revista de Economía del Rosario, Universidad del Rosario, vol. 17(2), pages 229-256.
    47. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    48. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    49. Thomas Maag, 2009. "On the accuracy of the probability method for quantifying beliefs about inflation," KOF Working papers 09-230, KOF Swiss Economic Institute, ETH Zurich.
    50. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
    51. Alex Botsis & Kevin Lee, 2022. "Nowcasting Using Firm-Level Survey Data; Tracking UK Output Fluctuations and Recessionary Events," Economic Statistics Centre of Excellence (ESCoE) Technical Reports ESCOE-TR-20, Economic Statistics Centre of Excellence (ESCoE).
    52. François Hild, 2006. "Un nouvel indicateur synthétique prenant en compte la dynamique des réponses individuelles à l'enquête Industrie," Économie et Statistique, Programme National Persée, vol. 395(1), pages 65-89.
    53. Maurizio Bovi, 2014. "Shocks and the Expectations Formation Process. A Tale of Two Expectations," Natural Field Experiments 00390, The Field Experiments Website.
    54. Vermeulen, Philip, 2014. "An evaluation of business survey indices for short-term forecasting: Balance method versus Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 30(4), pages 882-897.
    55. Santiago Pinto & Pierre-Daniel Sarte & Robert Sharp, 2020. "The Information Content and Statistical Properties of Diffusion Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 47-99, September.
    56. Olivier Biau & Hélène Erkel-Rousse & Nicolas Ferrari, 2006. "Réponses individuelles aux enquêtes de conjoncture et prévision de la production manufacturière," Économie et Statistique, Programme National Persée, vol. 395(1), pages 91-116.
    57. Kajal Lahiri & Yongchen Zhao, 2013. "Quantifying Heterogeneous Survey Expectations: The Carlson-Parkin Method Revisited," Discussion Papers 13-08, University at Albany, SUNY, Department of Economics.
    58. Kevin Lee & Kalvinder Shields, 2007. "Overcoming Measurement Error Problems in the Use of Survey Data on Expectations," The Economic Record, The Economic Society of Australia, vol. 83(262), pages 303-316, September.
    59. Kevin Lee & Kalvinder Shields, "undated". "Information, Business Survey Forecasts and Measurement of Output Trends in Six European Economies," Discussion Papers in European Economics 99/7, Division of Economics, School of Business, University of Leicester.
    60. Nolte, Ingmar & Pohlmeier, Winfried, 2007. "Using forecasts of forecasters to forecast," International Journal of Forecasting, Elsevier, vol. 23(1), pages 15-28.

  289. Mckensi, C.R. & Mcaleer, M. & Gill, L., 1990. "Simple Procedures For Testing Autoregressive Versus Moving Average Errors In Regression Models," Papers 210, Australian National University - Department of Economics.

    Cited by:

    1. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    2. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, The University of Osaka.
    3. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    4. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.

  290. Mcaleer, M. & Smith, J., 1990. "A Mote Carlo Comparison Of Ols,Iv,Fiml And Bootstrap Standard Errors In Linear Models With Generated Regressors," Papers 207, Australian National University - Department of Economics.

    Cited by:

    1. Smith, Jeremy & McAleer, Michael, 1995. "The performance of alternative estimators in models with generated regressors when the expectations equation has reduced explanatory power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 343-346.

  291. Mcaleer, M. & Mckenzie, C.R., 1990. "Keynesian And New Classical Models Of Unemployment Revisited," Papers 9006, Tilburg - Center for Economic Research.

    Cited by:

    1. Nwaobi, Godwin C, 2009. "Inflation,Unemployment and Nigerian Families: An empirical investigation," MPRA Paper 14596, University Library of Munich, Germany.
    2. Prof. Neil D. Karunaratne, 1999. "Rival Macroeconomic Models And Australian Stylised Facts," Discussion Papers Series 261, School of Economics, University of Queensland, Australia.
    3. van Damme, E.E.C. & Guth, W., 1992. "Equilibrium selection in the spence signaling game," Other publications TiSEM 4b9118b1-ca01-4c5f-a1df-6, Tilburg University, School of Economics and Management.
    4. Bomhoff, E.J., 1992. "Stability of velocity in the major industrial countries : A Kalman filter approach," Other publications TiSEM 2336f310-9ba8-4fef-a42b-6, Tilburg University, School of Economics and Management.
    5. MICHAEL McALEER, 1992. "Efficient Estimation: The Rao‐Zyskind Condition, Kruskal's Theorem and Ordinary Least Squares," The Economic Record, The Economic Society of Australia, vol. 68(1), pages 65-72, March.
    6. Keuzenkamp, Hugo A. & McAleer, Michael, 1997. "The complexity of simplicity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 553-561.
    7. van der Ploeg, F. & de Zeeuw, A.J., 1992. "A differential game of international pollution control," Other publications TiSEM 63432fbc-f558-422b-93d9-4, Tilburg University, School of Economics and Management.
    8. Verbeek, M.J.C.M. & Nijman, T.E., 1993. "Incomplete panels and selection bias : A survey," Other publications TiSEM 08061352-957b-4f56-b303-9, Tilburg University, School of Economics and Management.
    9. McAleer, Michael & Smith, Jeremy, 1992. "Bootstrap estimates of a new classical model of unemployment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 545-550.
    10. Florian PELGRIN & Alain GUAY & Richard LUGER, 2004. "The New Keynesian Phillips Curve: An empirical assessment," Econometric Society 2004 North American Summer Meetings 418, Econometric Society.
    11. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875.
    12. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    13. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.
    14. McAleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative approaches to testing non-nested models with autocorrelated disturbances : an application to models of U.S. unemployment," Discussion Paper 1990-4, Tilburg University, Center for Economic Research.

  292. Smith, J. & Mcaleer, M., 1990. "On The Robustness Of Barro'S New Classical Unemployment Model," Papers 206, Australian National University - Department of Economics.

    Cited by:

    1. Massa, Massimo & Simonov, Andrei, 2005. "Is learning a dimension of risk?," Journal of Banking & Finance, Elsevier, vol. 29(10), pages 2605-2632, October.
    2. McAleer, Michael & Smith, Jeremy, 1992. "Bootstrap estimates of a new classical model of unemployment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 545-550.
    3. Massimo Massa & Andrei Simonov, 2009. "Experimentation in Financial Markets," Management Science, INFORMS, vol. 55(8), pages 1377-1390, August.
    4. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875.
    5. Couch, Robert & Wu, Wei, 2012. "Private investment and public equity returns," Journal of Economics and Business, Elsevier, vol. 64(2), pages 160-184.

  293. McKensie, C.R. & McAleer, M., 1990. "On Efficient Estimation and Correct Inference in Models with Generated Regressions: A General Approach," Papers 211, Australian National University - Department of Economics.

    Cited by:

    1. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa," World Development, Elsevier, vol. 86(C), pages 133-147.
    2. Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
    3. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Asongu, Simplice, 2015. "Determinants of Growth in Fast Developing Countries: Evidence from Bundling and Unbundling Institutions," MPRA Paper 67310, University Library of Munich, Germany.
    5. Uchenna Efobi & Simplice A. Asongu & Chinelo Okafor & Vanessa Tchamyou & Belmondo Tanankem, 2019. "Remittances, Finance and Industrialisation in Africa," CEREDEC Working Papers 19/009, Centre de Recherche pour le Développement Economique (CEREDEC).
    6. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2019. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency: Pre-Crisis Era Revisited," Working Papers of the African Governance and Development Institute. 19/085, African Governance and Development Institute..
    7. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, capital flight and industrialisation in Africa," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-22, December.
    8. Simplice Asongu & Jacinta C. Nwachukwu, 2015. "Drivers of FDI in Fast Growing Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers of the African Governance and Development Institute. 15/001, African Governance and Development Institute..
    9. Simplice A. Asongu & Antonio R. Andrés, 2019. "Trajectories of Knowledge Economy in SSA and MENA countries," CEREDEC Working Papers 19/013, Centre de Recherche pour le Développement Economique (CEREDEC).
    10. Asongu, Simplice & Tchamyou, Vanessa, 2015. "Foreign aid, education and lifelong learning in Africa," MPRA Paper 70240, University Library of Munich, Germany.
    11. Asongu, Simplice, 2017. "Does Globalization Promote Good Governance in Africa? An Empirical Study Across 51 countries," MPRA Paper 82629, University Library of Munich, Germany.
    12. Simplice A. Asongu, 2015. "Conditional Determinants of Mobile Phones Penetration and Mobile Banking in Sub-Saharan Africa," Research Africa Network Working Papers 15/043, Research Africa Network (RAN).
    13. Simplice A. Asongu & Samba Diop & Ekene ThankGod Emeka & Amarachi O. Ogbonna, 2024. "The role of governance and infrastructure in moderating the effect of resource rents on economic growth," Working Papers of the African Governance and Development Institute. 24/027, African Governance and Development Institute..
    14. Simplice A. Asongu & Joseph Nnanna, 2020. "Governance and the Capital Flight Trap in Africa," Working Papers of the African Governance and Development Institute. 20/024, African Governance and Development Institute..
    15. Asongu, Simplice & Nnanna, Joseph, 2019. "Foreign aid, instability and governance in Africa," MPRA Paper 101087, University Library of Munich, Germany.
    16. Gregory N. Price, 2022. "Incarceration risk, asset pricing, and black‐white wealth inequality," Social Science Quarterly, Southwestern Social Science Association, vol. 103(5), pages 1306-1319, September.
    17. Simplice A. Asongu & Uchenna R. Efobi & Vanessa S. Tchamyou, 2016. "Globalization and Governance: A Critical Contribution to the Empirics," Research Africa Network Working Papers 16/017, Research Africa Network (RAN).
    18. Nicholas Tay & Zhen Zhu, 2000. "Correlations in Returns and Volatilities in Pacific-Rim Stock Markets," Open Economies Review, Springer, vol. 11(1), pages 27-47, January.
    19. Simplice A. Asongu & Samba Diop, 2022. "Resource Rents and Economic Growth: Governance and Infrastructure Thresholds," Working Papers 22/072, European Xtramile Centre of African Studies (EXCAS).
    20. Simplice Asongu & Jacinta C Nwachukwu, 2015. "The incremental effect of education on corruption: evidence of synergy from lifelong learning," Economics Bulletin, AccessEcon, vol. 35(4), pages 2288-2308.
    21. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Fighting Capital Flight in Africa: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 16/047, Research Africa Network (RAN).
    22. McKenzie, C.R., 1997. "The properties of some two step estimators of ARMA Models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 451-456.
    23. Asongu, Simplice & le Roux, Sara & Nwachukwu, Jacinta & Pyke, Chris, 2018. "The Mobile Phone as an Argument for Good Governance in Sub-Saharan Africa," MPRA Paper 89364, University Library of Munich, Germany.
    24. Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
    25. Maiko Koga, 2005. "The Decline of Japan's Saving Rate and Demographic Effects," Bank of Japan Working Paper Series 05-E-10, Bank of Japan.
    26. Asongu Simplice & Jacinta C. Nwachukwu, 2015. "Foreign aid instability and bundled governance dynamics in Africa," Working Papers of the African Governance and Development Institute. 15/058, African Governance and Development Institute..
    27. Zhou, Yanfei, 2003. "Precautionary saving and earnings uncertainty in Japan: A household-level analysis," Journal of the Japanese and International Economies, Elsevier, vol. 17(2), pages 192-212, June.
    28. Goto, Ujo & McKenzie, C.R., 2002. "Price collusion and deregulation in the Japanese retail gasoline market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 187-195.
    29. Leah Platt Boustan & Price V. Fishback & Shawn Kantor, 2010. "The Effect of Internal Migration on Local Labor Markets:American Cities during the Great Depression," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 719-746, October.
    30. Simplice A. Asongu & Voxi H. S. Amavilah & Antonio R. Andres, 2019. "Business Dynamics, Knowledge Economy, and the Economic Performance of African Countries," CEREDEC Working Papers 19/004, Centre de Recherche pour le Développement Economique (CEREDEC).
    31. Asongu, Simplice & Tchamyou, Vanessa, 2015. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency," MPRA Paper 71173, University Library of Munich, Germany.
    32. Simplice A. Asongu & Joseph Nnanna, 2020. "Governance and the Capital Flight Trap in Africa," Journal of Africa SEER Centre(ASC) 20/022, Africa SEER Centre(ASC).
    33. Asongu, Simplice & Uduji, Joseph & Okolo-Obasi, Elda, 2019. "Foreign aid volatility and lifelong learning," MPRA Paper 102032, University Library of Munich, Germany.
    34. Asongu, Simplice & Nwachukwu, Jacinta, 2017. "The Role of Openness in the Effect of ICT on Governance," MPRA Paper 84344, University Library of Munich, Germany.
    35. Simplice Asongu & Vanessa Tchamyou & Ndemaze Asongu & Nina Tchamyou, 2019. "Fighting terrorism in Africa: evidence from bundling and unbundling institutions," Empirical Economics, Springer, vol. 56(3), pages 883-933, March.
    36. Galindo, Arturo J. & Maloney, William F., 2002. "Second moments in speculative attack models: panel evidence," Journal of International Economics, Elsevier, vol. 56(1), pages 97-129, January.
    37. Takaharu Ishii, 2022. "Economic Policy and Transition Economies," EconSciences Library Books, EconSciences Library Books, edition 1, number 978-625-7501-82-5, May.
    38. Pieter Serneels, 2004. "The Nature of Unemployment in Urban Ethiopia," Development and Comp Systems 0409042, University Library of Munich, Germany.
    39. McKenzie, C.R. & Kapuscinski, C.A., 1997. "Estimation in a linear model with serially correlated errors when observations are missing," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 44(1), pages 1-9.
    40. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Revolution empirics: predicting the Arab Spring," Empirical Economics, Springer, vol. 51(2), pages 439-482, September.
    41. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    42. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    43. Yihui Lan, 2003. "The Long-Term Behaviour of Exchange Rates, Part V: The Stationarity of Exchange Rates," Economics Discussion / Working Papers 03-09, The University of Western Australia, Department of Economics.
    44. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.
    45. Smith, Jeremy & McAleer, Michael, 1995. "The performance of alternative estimators in models with generated regressors when the expectations equation has reduced explanatory power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 343-346.
    46. G. C. Lim & C. R. McKenzie, 1998. "Testing the rationality of expectations in the Australian foreign exchange market using survey data with missing observations," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 181-190.

  294. Bai, J. & Jakeman, A.J. & Mcaleer, M., 1990. "Estimation And Discrimination Of Alternative Air Pollution Models," Papers 209, Australian National University - Department of Economics.

    Cited by:

    1. Galeotti, Marzio & Lanza, Alessandro & Pauli, Francesco, 2006. "Reassessing the environmental Kuznets curve for CO2 emissions: A robustness exercise," Ecological Economics, Elsevier, vol. 57(1), pages 152-163, April.
    2. Keuzenkamp, Hugo A. & McAleer, Michael, 1997. "The complexity of simplicity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 553-561.
    3. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    4. Bai, J. & Jakeman, A.J. & McAleer, M., 1992. "On the use of extreme value distributions for predicting the upper percentiles of environmental quality data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 483-488.
    5. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  295. Mcaleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative Approaches To Testing Non-Nested Models With Autocorrelated Disturbances: An Application To Models Of Us Unemployment," Cambridge Working Papers in Economics 9013, Faculty of Economics, University of Cambridge.

    Cited by:

    1. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    2. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  296. Bai, J. & Jakeman, A.J. & Mcaleer, M., 1989. "A New Approach To Maximum Likelihood Estimation Of The Three-Paramater Gamma And Weibull Distributions," Papers 191, Australian National University - Department of Economics.

    Cited by:

    1. Tea-Yuan Hwang & Ping-Huang Huang, 2002. "On New Moment Estimation of Parameters of the Gamma Distribution Using its Characterization," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 54(4), pages 840-847, December.
    2. Bai, Jun & Jakeman, Anthony J. & McAleer, Michael, 1995. "Empirical models for evaluating errors in fitting extremes of a probability distribution," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(1), pages 1-7.
    3. Bai, J. & Jakeman, A.J. & McAleer, M., 1990. "The effects of misspecification in estimating the percentiles of some two- and three-parameter distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(1), pages 197-202.
    4. Bai, J. & Jakeman, A. & McAleer, M., 1990. "Discrimination between Nested Two- and Three-Parameter Distributions : An Application to Models of Air Pollution," Discussion Paper 1990-28, Tilburg University, Center for Economic Research.

  297. Bera, A.K. & Mcaleer, M. & Pesaran, M.H., 1989. "Joint Test Of Non-Nested Models And General Erro Specifications," Papers 3, California Los Angeles - Applied Econometrics.

    Cited by:

    1. Franses, P.H. & McAleer, M., 1995. "Testing Nested and Non-Nested Periodically Integrated Autoregressive Models," Papers 9510, Tilburg - Center for Economic Research.
    2. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  298. Bai, J. & Jakeman, A.J. & Mcaleer, M., 1989. "Estimating The Percentiles Of Some Misspecified Non-Nested Distributions," Papers 193, Australian National University - Department of Economics.

    Cited by:

    1. George Tzavelas & Maria Douli & Polychronis Economou, 2017. "Model misspecification effects for biased samples," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 80(2), pages 171-185, February.

  299. Bai, J. & Jakeman, A.J. & Mcaleer, M., 1989. "The Effects Of Misspecification In Estimating The Percentiles Of Some Two -And Three-Parameter Distributions," Papers 185, Australian National University - Department of Economics.

    Cited by:

    1. Bai, J. & Jakeman, A.J. & McAleer, M., 1990. "The effects of misspecification in estimating the percentiles of some two- and three-parameter distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(1), pages 197-202.
    2. Bai, J. & Jakeman, A. & McAleer, M., 1990. "Discrimination between Nested Two- and Three-Parameter Distributions : An Application to Models of Air Pollution," Discussion Paper 1990-28, Tilburg University, Center for Economic Research.

  300. McALEER, M. & DASTOOR, N.K., 1988. "Some Power Comparisons Of Joint And Paired Tests For Non-Nested Models Under Local Hypotheses," Papers 168, Australian National University - Department of Economics.

    Cited by:

    1. Barten, A.P. & McAleer, M., 1991. "Comparing the Empirical Performance of Alternative Demand Systems," Other publications TiSEM d782d792-fc44-4a2d-8ac0-f, Tilburg University, School of Economics and Management.
    2. Smith, Marlene A & Smyth, David J, 1991. "Multiple and Pairwise Non-nested Tests of the Influence of Taxes on Money Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(1), pages 17-30, Jan.-Marc.
    3. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    4. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    5. Anton P. Barten & Michael McAleer, 1997. "Comparaison de la performance du point de vue empirique de systèmes de demandes alternatifs," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 27-45.
    6. Hidetoshi Shimodaira, 1998. "An Application of Multiple Comparison Techniques to Model Selection," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 50(1), pages 1-13, March.
    7. Godfrey, L. G., 1998. "Tests of non-nested regression models some results on small sample behaviour and the bootstrap," Journal of Econometrics, Elsevier, vol. 84(1), pages 59-74, May.
    8. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    9. Dahalan, Jauhari & Sharma, Subhash C. & Sylwester, Kevin, 2007. "Scale variable specification in a money demand function for Malaysia," Journal of Asian Economics, Elsevier, vol. 18(6), pages 867-882, December.

  301. Naorayex K. Dastoor & Michael McAleer, 1985. "On the Consistency of Joint and Paired Tests for Non-Nested Regression Models," Working Paper 614, Economics Department, Queen's University.

    Cited by:

    1. Smith, Marlene A & Smyth, David J, 1991. "Multiple and Pairwise Non-nested Tests of the Influence of Taxes on Money Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(1), pages 17-30, Jan.-Marc.
    2. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    3. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    4. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.

  302. McAleer, Michael & Pagan, Adrian, 1985. "What Will Take the Con Out of Econometrics?," CEPR Discussion Papers 39, C.E.P.R. Discussion Papers.

    Cited by:

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    7. Rao, B. Bhaskara & Vadlamannati, Krishna Chaitanya, 2010. "Globalization and growth in the low Income African countries with the extreme bounds analysis," MPRA Paper 21924, University Library of Munich, Germany.
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    56. Walid M. A. Ahmed, 2024. "On the robust drivers of cryptocurrency liquidity: the case of Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
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    70. Boonman, Tjeerd, 2023. "Have drivers of portfolio capital flows changed since the Global Financial Crisis?," MPRA Paper 116507, University Library of Munich, Germany.
    71. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
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    Cited by:

    1. John J. Beggs, 1988. "Diagnostic Testing in Applied Econometrics," The Economic Record, The Economic Society of Australia, vol. 64(2), pages 81-101, June.
    2. Kenneth Stewart, 1997. "Exact testing in multivariate regression," Econometric Reviews, Taylor & Francis Journals, vol. 16(3), pages 321-352.
    3. Kenneth G. Stewart, 1998. "Gauss-Newton, Milliken-Graybill, and Exact Misspecification Testing Using Artificial Regressions," Econometrics Working Papers 9811, Department of Economics, University of Victoria.

  304. Mcaleer, M. & Fisher, G. & Volker, P., 1982. "Separate Misspecified Regressions and the U.S. Long Run Demand for Money Function," Cahiers de recherche 8217, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. Smith, Marlene A & Smyth, David J, 1991. "Multiple and Pairwise Non-nested Tests of the Influence of Taxes on Money Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(1), pages 17-30, Jan.-Marc.
    2. J. Paul Elhorst, 1998. "A note on the linear, logit and probit functional form of the labour force participation rate equation," ERSA conference papers ersa98p111, European Regional Science Association.
    3. Alston, Julian M. & Chalfant, James A., 1987. "Weak Separability And A Test For The Specification Of Income In Demand Models With An Application To The Demand For Meat In Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(01), pages 1-15, April.
    4. Mats A. Bergman & Niklas Rudholm, 2003. "The Relative Importance of Actual and Potential Competition: Empirical Evidence From the Pharmaceuticals Market," Journal of Industrial Economics, Wiley Blackwell, vol. 51(4), pages 455-467, December.
    5. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  305. Mcaleer, M. & Fisher, G., 1982. "Testing Separate Regression Models Subject to Specification Error," Cahiers de recherche 8216, Universite de Montreal, Departement de sciences economiques.

    Cited by:

    1. A. D. Clare & R. Priestley & S. H. Thomas, 1997. "Stock return predictability or mismeasured risk?," Applied Financial Economics, Taylor & Francis Journals, vol. 7(6), pages 679-687.
    2. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  306. Michael McAleer, 1981. "Exact Tests of a Model Against Non-Nested Alternatives," Working Paper 431, Economics Department, Queen's University.

    Cited by:

    1. Kenneth Stewart, 1997. "Exact testing in multivariate regression," Econometric Reviews, Taylor & Francis Journals, vol. 16(3), pages 321-352.
    2. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    3. Anton P. Barten & Michael McAleer, 1997. "Comparaison de la performance du point de vue empirique de systèmes de demandes alternatifs," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 27-45.
    4. Kenneth G. Stewart, 1998. "Gauss-Newton, Milliken-Graybill, and Exact Misspecification Testing Using Artificial Regressions," Econometrics Working Papers 9811, Department of Economics, University of Victoria.
    5. Matteo Manera & Michael McAleer, 2001. "Testing Multiple Non-nested Factor Demand Systems," ISER Discussion Paper 0543, Institute of Social and Economic Research, The University of Osaka.
    6. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    7. Barten, A.P. & McAleer, M., 1991. "Comparing the Empirical Performance of Alternative Demand Systems," Discussion Paper 1991-2, Tilburg University, Center for Economic Research.

  307. Gordon Fisher & Michael McAleer, 1981. "Alternative Procedures and Associated Tests of Significance for Non-Nested Hypotheses," Working Paper 420, Economics Department, Queen's University.

    Cited by:

    1. Ackello-Ogutu, Christopher & Paris, Quirino & Williams, William A., 1982. "A Test Of Nutrient Nonsubstitution In Crop Response And Fertility Carryover," Working Papers 225701, University of California, Davis, Department of Agricultural and Resource Economics.
    2. Imad Moosa, 1994. "Testing nonlinearities in purchasing power parity," Applied Economics Letters, Taylor & Francis Journals, vol. 1(3), pages 41-43.
    3. Smith, Marlene A & Smyth, David J, 1991. "Multiple and Pairwise Non-nested Tests of the Influence of Taxes on Money Demand," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(1), pages 17-30, Jan.-Marc.
    4. Davidson, Russell & MacKinnon, James G., 1997. "Bootstrap Tests of Nonnested Linear Regression Models," Queen's Institute for Economic Research Discussion Papers 273388, Queen's University - Department of Economics.
    5. Daniele Moro & Paolo Sckokai, 2002. "Functional separability within a quadratic inverse demand system," Applied Economics, Taylor & Francis Journals, vol. 34(3), pages 285-293.
    6. Chen, Yi-Ting & Kuan, Chung-Ming, 2002. "The pseudo-true score encompassing test for non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 106(2), pages 271-295, February.
    7. Luis Orea & David Roibás & Alan Wall, 2004. "Choosing the Technical Efficiency Orientation to Analyze Firms' Technology: A Model Selection Test Approach," Journal of Productivity Analysis, Springer, vol. 22(1), pages 51-71, July.
    8. Sulaiman Al-Jassar, 2019. "Fundamental and Technical Trading in the Emerging Market of an Oil-Based Economy," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-19, March.
    9. Borghans, Lex & De Grip, Andries & Heijke, Hans, 1996. "Labor market information and the choice of vocational specialization," Economics of Education Review, Elsevier, vol. 15(1), pages 59-74, February.
    10. Dastoor, Naorayex & Fisher, Gordon, 1987. "On Point-Optimal Cox Tests," Queen's Institute for Economic Research Discussion Papers 275207, Queen's University - Department of Economics.
    11. Michelis, Leo, 1999. "The distributions of the J and Cox non-nested tests in regression models with weakly correlated regressors," Journal of Econometrics, Elsevier, vol. 93(2), pages 369-401, December.
    12. Desdoigts, Alain & Moizeau, Fabien, 2001. "Multiple politico-economic regimes, inequality and growth," SFB 373 Discussion Papers 2001,65, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    13. Imad Moosa & Tony Naughton & Larry Li, 2009. "Exchange Rate Regime Verifi cation: Has China Actually Moved from a Dollar Peg to a Basket Peg? Peg?," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 62(1), pages 41-67.
    14. Luger, Richard, 2006. "Exact permutation tests for non-nested non-linear regression models," Journal of Econometrics, Elsevier, vol. 133(2), pages 513-529, August.
    15. McAleer, M. & Pesaran, M.H. & Bera, A.K., 1990. "Alternative approaches to testing non-nested models with autocorrelated disturbances : an application to models of U.S. unemployment," Other publications TiSEM 1db235af-e3ae-45a5-861d-8, Tilburg University, School of Economics and Management.
    16. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    17. Kenneth Stewart, 1997. "Exact testing in multivariate regression," Econometric Reviews, Taylor & Francis Journals, vol. 16(3), pages 321-352.
    18. Campa, Jose Manuel & Gonzalez Minguez, Jose M., 2006. "Differences in exchange rate pass-through in the euro area," European Economic Review, Elsevier, vol. 50(1), pages 121-145, January.
    19. J. Paul Elhorst, 1998. "A note on the linear, logit and probit functional form of the labour force participation rate equation," ERSA conference papers ersa98p111, European Regional Science Association.
    20. Larry Li & Imad Moosa, 2015. "Operational risk, the legal system and governance indicators: a country-level analysis," Applied Economics, Taylor & Francis Journals, vol. 47(20), pages 2053-2072, April.
    21. Xu, T.T., 2012. "The role of credit in international business cycles," Cambridge Working Papers in Economics 1202, Faculty of Economics, University of Cambridge.
    22. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    23. Godwin Nwaobi, 2001. "A Vector Error Correction And Nonnested Modelling Of Money Demand Function In Nigeria," Econometrics 0111004, University Library of Munich, Germany.
    24. Desdoigts, Alain, 2000. "Neoclassical convergence versus technological catch-up: A contribution for reaching a consensus," SFB 373 Discussion Papers 2000,42, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    25. Anton P. Barten & Michael McAleer, 1997. "Comparaison de la performance du point de vue empirique de systèmes de demandes alternatifs," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 27-45.
    26. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    27. MS Mohanty, 2001. "Determination Of Participation Decision, Hiring Decision, And Wages In A Double Selection Framework: Male‐Female Wage Differentials In The U.S. Labor Market Revisited," Contemporary Economic Policy, Western Economic Association International, vol. 19(2), pages 197-212, April.
    28. Choe, Chongwoo & Moosa, Imad A., 1999. "Financial System and Economic Growth: The Korean Experience," World Development, Elsevier, vol. 27(6), pages 1069-1082, June.
    29. Yanqin Fan & Qi Li, 1995. "Bootstrapping J-type tests for non-nested regression models," Economics Letters, Elsevier, vol. 48(2), pages 107-112, May.
    30. Han, Xiaoyi & Lee, Lung-fei, 2013. "Model selection using J-test for the spatial autoregressive model vs. the matrix exponential spatial model," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 250-271.
    31. Tronstad, Russell & Huthoefer, Lori Stephens & Monke, Eric A., 1992. "Market Windows And Hedonic Price Analyses: An Application To The Apple Insdustry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(2), pages 1-9, December.
    32. Hagemann, Andreas, 2012. "A simple test for regression specification with non-nested alternatives," Journal of Econometrics, Elsevier, vol. 166(2), pages 247-254.
    33. Imad A. Moosa, 2015. "The random walk versus unbiased efficiency: can we separate the wheat from the chaff?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 38(2), pages 251-279, October.
    34. Chembezi, Duncan M. & Cacho, Joyce A., 1997. "Alternative Price Expectation Formulation and Information Access," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35905, Western Agricultural Economics Association.
    35. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    36. Imad Moosa & Sulaiman Al-Abduljader, 2010. "A test of the news model of stock price determination in an emerging market: the case of Kuwait," Applied Financial Economics, Taylor & Francis Journals, vol. 20(5), pages 397-405.
    37. Chan, Kam C. & Seow, Gim S., 1996. "The association between stock returns and foreign GAAP earnings versus earnings adjusted to U.S. GAAP," Journal of Accounting and Economics, Elsevier, vol. 21(1), pages 139-158, February.
    38. Jim Malley & Hassan Molana, 1997. "The Permanent Income Hypothesis Revisited. Reconciling Evidence from Aggregate Data with the Representative Consumer Behaviour," Working Papers 9708, Business School - Economics, University of Glasgow.
    39. Jim Malley & Hassan Molana, 2002. "The Life-Cycle-Permanent-Income Model: A Reinterpretation and Supporting Evidence," Working Papers 2002_17, Business School - Economics, University of Glasgow.
    40. Chotikapanich, Duangkamon & Griffiths, William E., 1998. "Carnarvon Gorge: a comment on the sensitivity of consumer surplus estimation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-13.
    41. Taisuke Otsu & Yoon-Jae Whang, 2005. "Testing for Non-nested Conditional Moment Retrictions via Conditional Empirical Likelihood," Cowles Foundation Discussion Papers 1533, Cowles Foundation for Research in Economics, Yale University.
    42. Bouman, J., 1984. "Testing Nonnested Linear Hypotheses I : Reduction By Invariance Considerations," Econometric Institute Archives 272284, Erasmus University Rotterdam.
    43. Maria-Isabel Ayuda & Antonio Aznar, 2000. "Power in non-nested models: a comparative study," Applied Economics Letters, Taylor & Francis Journals, vol. 7(7), pages 483-486.
    44. Agresti, Alan & Caffo, Brian, 2002. "Measures of relative model fit," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 127-136, April.
    45. Chen, Yi-Ting, 2006. "Non-nested tests for competing U.S. narrow money demand functions," Economic Modelling, Elsevier, vol. 23(2), pages 339-363, March.
    46. Kenneth G. Stewart, 1998. "Gauss-Newton, Milliken-Graybill, and Exact Misspecification Testing Using Artificial Regressions," Econometrics Working Papers 9811, Department of Economics, University of Victoria.
    47. Godfrey, L. G., 1998. "Tests of non-nested regression models some results on small sample behaviour and the bootstrap," Journal of Econometrics, Elsevier, vol. 84(1), pages 59-74, May.
    48. George B. Tawadros, 2013. "The information content of the Reserve Bank of Australia's inflation forecasts," Applied Economics, Taylor & Francis Journals, vol. 45(5), pages 623-628, February.
    49. Kuan, Chung-Ming & Lin, Hsin-Yi, 2010. "An encompassing test for non-nested quantile regression models," Economics Letters, Elsevier, vol. 107(2), pages 257-260, May.
    50. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    51. Dahalan, Jauhari & Sharma, Subhash C. & Sylwester, Kevin, 2007. "Scale variable specification in a money demand function for Malaysia," Journal of Asian Economics, Elsevier, vol. 18(6), pages 867-882, December.
    52. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.
    53. Kwadwo Opoku & Emmanuel Adu Boahen, 2023. "Gender wage gaps in Ghana: a comparison across different selection models," SN Business & Economics, Springer, vol. 3(7), pages 1-33, July.
    54. Pain, Nigel & Westaway, Peter, 1997. "Modelling structural change in the UK housing market: A comparison of alternative house price models," Economic Modelling, Elsevier, vol. 14(4), pages 587-610, October.
    55. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.
    56. Jim Malley & Hassan Molana, 1999. "The Permanent Income Hypothesis Revisited," Dundee Discussion Papers in Economics 105, Economic Studies, University of Dundee.
    57. Barten, A.P. & McAleer, M., 1991. "Comparing the Empirical Performance of Alternative Demand Systems," Discussion Paper 1991-2, Tilburg University, Center for Economic Research.
    58. Chen, Yi-Ting, 2003. "Discriminating between competing STAR models," Economics Letters, Elsevier, vol. 79(2), pages 161-167, May.
    59. John Sequeira & Michael McAleer, 2000. "A market-augmented model for SIMEX Brent crude oil futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 543-552.
    60. Godfrey, L.G. & Santos Silva, J.M.C., 2007. "A note on variable addition tests for linear and log-linear models," Economics Letters, Elsevier, vol. 95(3), pages 422-427, June.
    61. Delgado, Miguel A. & Li, Qi & Stengos, Thanasis, 1994. "Non-parametric specification testing of non-nested econometric models," DES - Working Papers. Statistics and Econometrics. WS 3961, Universidad Carlos III de Madrid. Departamento de Estadística.
    62. Elyasiani, Elyas & Zadeh, Ali H. M., 1999. "Econometric tests of alternative scale variables in money demand in open economies: International evidence from selected OECD countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(2), pages 193-211.
    63. John Sequeira & MICHAEL McALEER, 2000. "Testing the risk premium and cost-of-carry hypotheses for currency futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 277-289.
    64. Jim Malley & Hassan Molana, 2003. "The Life-Cycle-Permanent- Income Hypothesis: A Reinterpretation and Supporting Evidence," Dundee Discussion Papers in Economics 138, Economic Studies, University of Dundee.
    65. Hsin-Yi Lin, 2011. "A robust test for non-nested hypotheses," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(1), pages 93-111, March.
    66. Jim Malley & Hassan Molana, 2006. "Further Evidence from Aggregate Data on the Life-Cycle-Permanent-Income Model," Empirical Economics, Springer, vol. 31(4), pages 1025-1041, November.
    67. Aryan Manafi Neyazi, 2025. "Generalized Covariance Estimator under Misspecification and Constraints," Papers 2509.13492, arXiv.org.
    68. Moosa, Imad A. & Al-Loughani, Nabeel E., 1995. "Testing the price-volume relation in emerging Asian stock markets," Journal of Asian Economics, Elsevier, vol. 6(3), pages 407-422.

  308. Michael McAleer & Gordon Fisher, 1981. "Separate Misspecified Regressions," Working Paper 424, Economics Department, Queen's University.

    Cited by:

    1. Yash P. Mehra, 1984. "The tax effect, and the recent behaviours of the after-tax real rate : is it too high?," Economic Review, Federal Reserve Bank of Richmond, vol. 70(Jul), pages 8-20.

  309. Gordon Fisher & Michael McAleer, 1980. "The Interpretation of the Cox Test in Econometrics," Working Paper 371, Economics Department, Queen's University.

    Cited by:

    1. Silva, João M. C. Santos & Tenreyro, Silvana & Windmeijer, Frank, 2015. "Testing competing models for non-negative data with many zeros," LSE Research Online Documents on Economics 63663, London School of Economics and Political Science, LSE Library.
    2. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    3. Keunkwan Ryu & Kuo-yuan Liang, 1992. "Relationship of Forecast Encompassing to Composite Forecasts with Simulations and an Application," UCLA Economics Working Papers 668, UCLA Department of Economics.
    4. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597.
    5. Hagemann, Andreas, 2012. "A simple test for regression specification with non-nested alternatives," Journal of Econometrics, Elsevier, vol. 166(2), pages 247-254.
    6. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.
    7. Luc Anselin, 1988. "Model Validation in Spatial Econometrics: A Review and Evaluation of Alternative Approaches," International Regional Science Review, , vol. 11(3), pages 279-316, December.

  310. Fisher, Gordon & McAleer, Michael, 1980. "Principles and Methods in the Testing of Alternative Models," Queen's Institute for Economic Research Discussion Papers 275167, Queen's University - Department of Economics.

    Cited by:

    1. Fisher, Gordon & Gregory, Allan W. & McAleer, Michael, 1980. "Two Papers on Linear Models," Queen's Institute for Economic Research Discussion Papers 275178, Queen's University - Department of Economics.

  311. Fisher, Gordon & McAleer, Michael & Whistler, Diana, 1980. "Interest Rates and durability in the Linear Expenditure Family," Queen's Institute for Economic Research Discussion Papers 275166, Queen's University - Department of Economics.

    Cited by:

    1. Chambers, Marcus J, 1992. "Estimation of a Continuous-Time Dynamic Demand System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(1), pages 53-64, Jan.-Marc.

  312. Michael McAleer & Alan A. Powell & Peter Dixon & Tony Lawson, 1979. "Estimation of the Consumption Function: A Systems Approach to Employment Effects on the Purchases of Durables," Working Paper 349, Economics Department, Queen's University.

    Cited by:

    1. Manion, Vince, 1979. "A Disaggregated Model of Wage Determination," Impact Project Archive 295070, Impact Research Centre, University of Melbourne.
    2. Ross A. Williams, 1980. "Structural Change and Private Consumption:Evidence from the 1974–75 Household Expenditure Survey," The Economic Record, The Economic Society of Australia, vol. 56(152), pages 54-68, March.
    3. Dee, Philippa, 1989. "Fh-Orani: A Fiscal Orani With Horridge Extension," Impact Project Archive 295207, Impact Research Centre, University of Melbourne.
    4. Philippa Dee, 1989. "The Effects of Government size on Economic Performance: a Quantitative Assessment of a Budget Reduction," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 22(1), pages 24-38, March.
    5. Brian Parmenter, 2004. "Distinguished Fellow of the Economic Society of Australia, 2003: Peter Dixon," The Economic Record, The Economic Society of Australia, vol. 80(249), pages 141-144, June.
    6. Fisher, Gordon & McAleer, Michael & Whistler, Diana, 1979. "A Note On Problems of Estimating the Linear Expenditure System and Its Related Forms," Queen's Institute for Economic Research Discussion Papers 275153, Queen's University - Department of Economics.

  313. Michael McAleer & Ian E. Gorman, 1979. "Durable Goods in the Extended Linear Expenditure System: An Empirical Appraisal," Working Paper 333, Economics Department, Queen's University.

    Cited by:

    1. Fisher, Gordon & McAleer, Michael & Whistler, Diana, 1979. "A Note On Problems of Estimating the Linear Expenditure System and Its Related Forms," Queen's Institute for Economic Research Discussion Papers 275153, Queen's University - Department of Economics.

Articles

  1. David E. Allen & Michael McAleer, 2023. "Drawbacks in the 3-Factor Approach of Fama and French (2018)," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-26, March.
    See citations under working paper version above.
  2. David E. Allen & Michael McAleer, 2022. "“Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(537), pages 214-224, January.

    Cited by:

    1. Hrishikesh Vinod, 2023. "Causality Estimation in Panel Data," Fordham Economics Discussion Paper Series dp2023-09er:dp2023-09, Fordham University, Department of Economics.

  3. Li, Hua & Bai, Zhidong & Wong, Wing-Keung & McAleer, Michael, 2022. "Spectrally-Corrected Estimation for High-Dimensional Markowitz Mean-Variance Optimization," Econometrics and Statistics, Elsevier, vol. 24(C), pages 133-150.
    See citations under working paper version above.
  4. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
    See citations under working paper version above.
  5. Asai Manabu & McAleer Michael, 2022. "Multivariate Hyper-Rotated GARCH-BEKK," Journal of Time Series Econometrics, De Gruyter, vol. 14(2), pages 175-198, July.

    Cited by:

    1. Tanin, Tauhidul Islam & Hasanov, Akram Shavkatovich & Shaiban, Mohammed Sharaf Mohsen & Brooks, Robert, 2022. "Risk transmission from the oil market to Islamic and conventional banks in oil-exporting and oil-importing countries," Energy Economics, Elsevier, vol. 115(C).
    2. Hassan Javed & Naveed Khan, 2025. "Do Bitcoin Shocks Dominate Other Cryptocurrencies? An Examination Through GARCH Based Dynamic Models," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(4), pages 1431-1457, December.

  6. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.

    Cited by:

    1. Asai Manabu & So Mike K. P., 2023. "Realized BEKK-CAW Models," Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 49-77, January.
    2. Andrea Bucci & Michele Palma & Chao Zhang, 2024. "Geometric Deep Learning for Realized Covariance Matrix Forecasting," Papers 2412.09517, arXiv.org.
    3. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    4. Xu, Buyun & Wu, Zhimin, 2025. "Real-time GARCH@CARR: A joint model of returns, realized measure of volatility and current intraday information," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    5. Bosupeng, Mpho & Naranpanawa, Athula & Su, Jen-Je, 2024. "Does exchange rate volatility affect the impact of appreciation and depreciation on the trade balance? A nonlinear bivariate approach," Economic Modelling, Elsevier, vol. 130(C).
    6. Khoo, Zhi De & Ng, Kok Haur & Koh, You Beng & Ng, Kooi Huat, 2025. "Forecasting financial volatility: An approach based on Parkinson volatility measure with long memory stochastic range model," Journal of Empirical Finance, Elsevier, vol. 82(C).

  7. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).

    Cited by:

    1. Tang, Chun & Wu, Yizhong & Liu, Xiaoxing, 2025. "Does China's national carbon market play a role? Evidence from corporate ESG performance," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 1053-1064.
    2. I-Chun Tsai, 2025. "Has the outbreak of COVID-19 changed the carbon market?," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-38, February.
    3. Al-Fayoumi, Nedal & Abuzayed, Bana & Bouri, Elie, 2025. "Gold for global airline stock indices during COVID-19: Hedge or safe-haven asset?," Journal of Air Transport Management, Elsevier, vol. 127(C).

  8. Michael McAleer, 2021. "A Critique of Recent Medical Research in JAMA on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(1), pages 40-142, March.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Kim-Hung Pho & Ngoc-Hien Nguyen & Huu-Nhan Huynh & Wing-Keung Wong, 2021. "A Detailed Guide on How to Use Statistical Software R for Text Mining," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 92-110, September.

  9. David E. Allen & Michael McAleer, 2021. "Predicting COVID-19 Cases and Deaths in the USA from Tests and State Populations," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(2), pages 1-27, June.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Edward C. H. Tang, 2024. "Examining the Impacts of the Pandemic on the Housing Bubble in Hong Kong," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(1), pages 27-46, March.

  10. Do Thi Thanh Nhan & Kim-Hung Pho & Dang Thi Van Anh & Michael McAleer, 2021. "The Safety of Banks in Vietnam Using CAMEL," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(2), pages 158-192, June.

    Cited by:

    1. Le Ngoc Thuy Trang & Do Thi Thanh Nhan & Nguyen Thi Nhu Hao & Wing-Keung Wong, 2021. "Does Bank Liquidity Risk Lead To Bank'S Operational Efficiency? A Study In Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 46-88, December.

  11. Michael McAleer, 2021. "A Critical Analysis of Some Recent Medical Research in Science on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(1), pages 216-332, March.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  12. Kim-Hung Pho & Michael McAleer, 2021. "Specification and Estimation of a Logistic Function, with Applications in the Sciences and Social Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(2), pages 74-104, June.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Sal Ly & Kim-Hung Pho & Shin-Hung Pan & Wing-Keung Wong, 2024. "Newton-Raphson Method: Overview and Applications," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 52-78, September.

  13. Yushan Cheng & Yongchang Hui & Michael McAleer & Wing-Keung Wong, 2021. "Spurious Relationships for Nearly Non-Stationary Series," JRFM, MDPI, vol. 14(8), pages 1-24, August.

    Cited by:

    1. M. D. Castro-Alvarez & C.A. Zuniga-Gonzalez & W. Mercado & R.S. Andrade, 2025. "Rice (Oryza sativa L.) Bioeconomy: A Comprehensive DEA Analysis," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(2), pages 91-120, June.
    2. ENNADIFI Imane & KADIL Ghizlane, 2025. "Exploring Tail Risk Transmission between Volatility Indices and Cryptocurrencies: Evidence from Quantile Connectedness," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(3), pages 119-157, September.
    3. Trang Dao Thi Thu & Huyen Ngo Khanh & Phuong Tran Thi, 2026. "Historical Analysis of Land-use Changes in Vietnam’s Red River Delta: Bayesian Network Approach to Land Policies and Sustainable Development," Advances in Decision Sciences, Asia University, Taiwan, vol. 30(2), pages 1-38, March.
    4. Antanas Laurinavicius & Chaleun Vongmileuth & Sonesavanh Vongmileuth & Algimantas Laurinavicius & Shin-Hung Pan & Bisharat Hussain Chang, 2025. "Energy demand response to the dynamics of the currency valuation: Evidence from G7 countries," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(1), pages 1-34, March.
    5. Do, Quang Hung, 2024. "Predicting Efficiency of Commercial Banks in Vietnam: A DEA and Machine Learning Approach," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(4), pages 120-143.
    6. Yang, Xiaoming & Zhang, Jia & Xu, Zhaoyi, 2023. "Natural resources for policy makers: Revisiting COVID-19 perspective of aggregate South Asian economies," Resources Policy, Elsevier, vol. 83(C).
    7. Islem Boutabba & Shin-Hung Pan & Wing-Keung Wong, 2025. "An Empirical Validation of a Behavioral Finance Model: The 52-week High as a Benchmark for an Index," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(4), pages 74-91.
    8. Faisal Abbas & Umer Iftikhar Malik & Aisyah Abdul Rahman, 2025. "Nexus between institutional quality, economic openness, and environmental quality: New evidence from the MENA region," Future Business Journal, Springer, vol. 11(1), pages 1-12, December.
    9. Anas AlQudah & Natli Mazhar Al Zoubi & Lara Al Haddad, 2024. "Mitigating Financial Crimes: How Anti-Money Laundering Mechanisms Shape Bank Outcomes," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 79-105, September.
    10. La Ode Saidi, 2025. "The Effects of Crude Oil Prices, Exchange Rates, and Inflation on the Level of Investment in Indonesia," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 106-126.
    11. Ferry Fadzlul Rahman & Purhadi & Meity Mulya Susanti & Fahni Haris, 2025. "Unlocking the Potential: Electronic Health Records in Primary Care and Achieving the Quadruple Aim of Healthcare," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(2), pages 121-137.
    12. Algimantas Laurinavicius & Asma Salman & Mohamed Elsayed Abdelsalam Ghanem & Antanas Laurinavicius & Mohammed Ahmar Uddin, 2025. "Worldwide Nickel Ore Trade, Its Stability and the Characteristics: A Fresh Policy Analysis," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(3), pages 85-118, September.
    13. Hassan Zada & Naveed Khan & Kai-Yin Woo & Sana Gaied Chortane, 2025. "Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(4), pages 1-37.
    14. Si Zhang & Hao Jin & Menglin Su, 2024. "Modified Block Bootstrap Testing for Persistence Change in Infinite Variance Observations," Mathematics, MDPI, vol. 12(2), pages 1-25, January.
    15. Burmaa Galaa & Enkhamgalan Byambajav & Kai-yin Woo & Amarbayasgalan Myagmar-Ochir & Saruultuya Tsendsuren, 2024. "Long-run relationship between insurance premiums and driving factors in Mongolia," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 116-136, June.

  14. David E. Allen & Michael McAleer, 2021. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of the FTSE and S&P500 Indexes," Risks, MDPI, vol. 9(11), pages 1-20, November.

    Cited by:

    1. Jiecheng Song & Merry Ma, 2023. "Climate Change: Linear and Nonlinear Causality Analysis," Stats, MDPI, vol. 6(2), pages 1-17, May.
    2. Larissa M. Batrancea & Mehmet Ali Balcı & Ömer Akgüller & Anca Nichita, 2024. "The impact of social media discourse on financial performance of e-commerce companies listed on Borsa Istanbul," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-20, December.
    3. Youxue Jiang & Zakia Batool & Syed Muhammad Faraz Raza & Mohammad Haseeb & Sajjad Ali & Syed Zain Ul Abidin, 2022. "Analyzing the Asymmetric Effect of Renewable Energy Consumption on Environment in STIRPAT-Kaya-EKC Framework: A NARDL Approach for China," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
    4. Asemahle Swapi & Joseph Akande & Yiseyon Sunday Hosu, 2024. "Wheat Value Chains and Vertical Price Transmission in South Africa: A Nonlinear Autoregressive Diagnostic Lag Bound Approach," Economies, MDPI, vol. 12(12), pages 1-22, December.
    5. Kehan HE & Lixing WANG & Zhu LIU, 2025. "Global decarbonization corresponding with unseasonal land cover change," Nature Communications, Nature, vol. 16(1), pages 1-11, December.
    6. Hatem Ahmed Adela & Wadeema BinHamoodah Aldhaheri & Ahmed Hatem Ali, 2025. "Dynamic Impacts of Economic Growth, Energy Use, Urbanization, and Trade Openness on Carbon Emissions in the United Arab Emirates," Sustainability, MDPI, vol. 17(13), pages 1-21, June.
    7. Koushik Mandal & Radhika Prosad Datta, 2024. "Oil Price Dynamics and Sectoral Indices in India – Pre, Post and during COVID Pandemic: A Comparative Evidence from Wavelet-based Causality and NARDL," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 18-33, July.
    8. Kleanthis Natsiopoulos & Nickolaos G. Tzeremes, 2024. "ARDL: An R Package for ARDL Models and Cointegration," Computational Economics, Springer;Society for Computational Economics, vol. 64(3), pages 1757-1773, September.
    9. Hatem Adela & Wadeema Aldhaheri, 2024. "The Impact of Crime against a Person on Domestic Investment in Dubai," JRFM, MDPI, vol. 17(2), pages 1-17, February.
    10. Deng, Xiang & Xu, Fang, 2024. "Asymmetric effects of international oil prices on China's PPI in different industries——Research based on NARDL model," Energy, Elsevier, vol. 290(C).
    11. Mesut Dogan & Irina Georgescu & Hamza Çeştepe & Sevgi Sümerli Sarıgül & Havanur Ergün Tatar, 2025. "Renewable Energy Consumption and the Ecological Footprint in Denmark: Assessing the Influence of Financial Development and Agricultural Contribution," Agriculture, MDPI, vol. 15(8), pages 1-19, April.
    12. Victoria Foye, 2022. "Climate Change and Macro Prices in Nigeria: A Nonlinear Analysis," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 20(2 (Summer), pages 167-203.

  15. BUU-CHAU TRUONG & KIM-HUNG PHO & CONG-CHANH DINH & MICHAEL McALEER, 2021. "Zero-Inflated Poisson Regression Models: Applications In The Sciences And Social Sciences," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-19, June.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  16. Do Thi Thanh Nhan & Kim-Hung Pho & Dang Thi Van Anh & Michael Mcaleer, 2021. "Evaluating The Efficiency Of Vietnam Banks Using Data Envelopment Analysis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 1-17, June.

    Cited by:

    1. Le Ngoc Thuy Trang & Do Thi Thanh Nhan & Nguyen Thi Nhu Hao & Wing-Keung Wong, 2021. "Does Bank Liquidity Risk Lead To Bank'S Operational Efficiency? A Study In Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 46-88, December.
    2. Wisam Abed Shukur & Zaid M. Jawad Kubba & Saif Saad Ahmed, 2023. "Novel Standard Polynomial as New Mathematical Basis for Digital Information Encryption Process," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 72-85, September.

  17. Wing Wah Tham & Elvira Sojli & Richard Bryant & Michael McAleer, 2021. "Common Mental Disorders and Economic Uncertainty: Evidence from the COVID-19 Pandemic in the U.S," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-14, December.

    Cited by:

    1. Shouchuang Zhang & Ting Wang & Lanyue Zhang & Yuehui Wei & Weiyan Jian & Jing Guo, 2024. "Relationship between social inequality perception patterns and depressive symptoms among Chinese adults: A national representative longitudinal study," International Journal of Social Psychiatry, , vol. 70(5), pages 933-944, August.
    2. Alishba Hania & Chien-Chiang Lee & Farzan Yahya, 2025. "Climate anxiety, economic policy uncertainty, and green growth," Economic Change and Restructuring, Springer, vol. 58(1), pages 1-34, February.

  18. Chia-Lin Chang & Michael McAleer, 2020. "Alternative Global Health Security Indexes for Risk Analysis of COVID-19," IJERPH, MDPI, vol. 17(9), pages 1-17, May.

    Cited by:

    1. Bing Wang & Yiwei Lyu, 2023. "Research on the Compilation of a Composite Index from the Perspective of Public Value—The Case of the Global Health Security Index," Sustainability, MDPI, vol. 15(19), pages 1-16, October.
    2. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2020. "Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis," IJERPH, MDPI, vol. 17(18), pages 1-35, September.
    3. Mete, Suleyman & Yucesan, Melih & Gul, Muhammet & Ozceylan, Eren, 2023. "An integrated hybrid MCDM approach to evaluate countries’ COVID-19 risks," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    4. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.

  19. Nguyen Duy Suu & Thu-Quang Luu & Kim-Hung Pho & Michael McAleer, 2020. "Net Interest Marginof Commercial Banks in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 1-27, March.

    Cited by:

    1. Le Ngoc Thuy Trang & Do Thi Thanh Nhan & Nguyen Thi Nhu Hao & Wing-Keung Wong, 2021. "Does Bank Liquidity Risk Lead To Bank'S Operational Efficiency? A Study In Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 46-88, December.
    2. Samia Nasreen & Mehwish Gulzar & Xuan-Hoa Nghiem & Saira Arsh, 2026. "Evaluating the Role of Bank Specific, Macroeconomic, and Institutional Factors in Determining Banking Sector Performance: Evidence from South Asian Economies," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 29(1), pages 77-96, February.
    3. Ngo Tung Hieu & Lam Minh Huy & Huynh Manh Phat & Nguyen Ngoc Phuong Anh & Wing-Keung Wong, 2020. "Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 15-65, June.

  20. Michael McAleer, 2020. "Seeking Clarity in a World Infected by COVID-19 and Fake News," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 35-43, December.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  21. Dang-Khoa Duong & Thi Thanh-Phuong Phan & Kim-Hung Pho & Michael McAleer, 2020. "Impact of Board Characteristics and State Ownership on Dividend Policy in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 1-34, December.

    Cited by:

    1. Aastha Mittal & Shveta Singh, 2025. "Does CEO gender impact dividends in emerging economies?," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 22(1), pages 165-176, March.

  22. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "The Future of Tourism in the COVID-19 Era," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 218-230, September.

    Cited by:

    1. José Miguel Rodríguez-Antón & María del Mar Alonso-Almeida, 2020. "COVID-19 Impacts and Recovery Strategies: The Case of the Hospitality Industry in Spain," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    2. Anca-Gabriela Turtureanu & Rodica Pripoaie & Carmen-Mihaela Cretu & Carmen-Gabriela Sirbu & Emanuel Ştefan Marinescu & Laurentiu-Gabriel Talaghir & Florentina Chițu, 2022. "A Projection Approach of Tourist Circulation under Conditions of Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    3. Cristina Maria Păcurar & Ruxandra-Gabriela Albu & Victor Dan Păcurar, 2021. "Tourist Route Optimization in the Context of Covid-19 Pandemic," Sustainability, MDPI, vol. 13(10), pages 1-17, May.
    4. James K.C. Chen & Thitima Sriphon, 2022. "The Relationships among Authentic Leadership, Social Exchange Relationships, and Trust in Organizations during COVID-19 Pandemic," Advances in Decision Sciences, Asia University, Taiwan, vol. 26(1), pages 31-68, March.
    5. Zaharia Marian & Balacescu Aniela & Gogonea Rodica-Manuela, 2021. "Aspects Of The Impact Of Covid-19 On The Number Of Employees In Accommodation And Food Service Activities. Return Trends," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 5, pages 42-48, October.
    6. Jacqueline-Nathalie Harba & Gabriela Tigu & Adriana AnaMaria Davidescu, 2021. "Exploring Consumer Emotions in Pre-Pandemic and Pandemic Times. A Sentiment Analysis of Perceptions in the Fine-Dining Restaurant Industry in Bucharest, Romania," IJERPH, MDPI, vol. 18(24), pages 1-24, December.

  23. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.

    Cited by:

    1. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    2. Samuel Tabot Enow, 2024. "Investigating Overreaction and Underreaction in Initial Public Offerings," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 172-177, July.
    3. Christopher R. Stephens & Harald A. Benink & José Luís Gordillo & Juan Pablo Pardo-Guerra, 2021. "A New Measure of Market Inefficiency," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    4. Minhas Akbar & Ahsan Akbar & Muhammad Azeem Qureshi & Petra Poulova, 2021. "Sentiments–Risk Relationship across the Corporate Life Cycle: Evidence from an Emerging Market," Economies, MDPI, vol. 9(3), pages 1-17, August.
    5. Herman Herman & Oshamah Ibrahim Khalaf, 2023. "Evidence from School Principals: Academic Supervision Decision-making on Improving Teacher Performance in Indonesia," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 46-71, September.
    6. Mukta Mani, 2025. "An Exploration of Contemporary Trends in Finance Research," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(3), pages 12291-12316, September.
    7. Samuel Tabot Enow, 2023. "Investigating Joint Market Hypothesis during Periods of Financial Distress and its Implications," International Journal of Economics and Financial Issues, Econjournals, vol. 13(2), pages 46-50, March.
    8. Tai-Yuen Hon & Massoud Moslehpour & Kai-Yin Woo, 2021. "Review on Behavioral Finance with Empirical Evidence," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 15-41, December.
    9. Emanuele Citera, 2021. "Stock Returns, Market Trends, and Information Theory: A Statistical Equilibrium Approach," Working Papers 2116, New School for Social Research, Department of Economics.
    10. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    11. Islem Boutabba & Shin-Hung Pan & Wing-Keung Wong, 2025. "An Empirical Validation of a Behavioral Finance Model: The 52-week High as a Benchmark for an Index," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(4), pages 74-91.
    12. Samuel Tabot Enow, 2023. "Random walk and modelling stock return: Evidence from international stock markets," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 12(3), pages 353-360, April.
    13. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications," JRFM, MDPI, vol. 13(7), pages 1-19, July.
    14. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    15. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    16. Wang, Yicheng & Sornette, Didier & Wu, Ke & Lera, Sandro Claudio, 2025. "Dynamic influence networks self-organize towards non-normal socio-economic instabilities," Chaos, Solitons & Fractals, Elsevier, vol. 201(P3).
    17. Hassan Zada & Naveed Khan & Kai-Yin Woo & Sana Gaied Chortane, 2025. "Asset Pricing: A Comparative Analysis of Fama-French Five-Factor with Human Capital-Based Six-Factor Model," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(4), pages 1-37.

  24. Chuanyi Wang & Zhe Cheng & Xiao-Guang Yue & Michael McAleer, 2020. "Risk Management of COVID-19 by Universities in China," JRFM, MDPI, vol. 13(2), pages 1-6, February.

    Cited by:

    1. Anastasia Atabekova, 2020. "University Discourse to Foster Youth’s Sustainability in Society amidst COVID19: International and Russian Features," Sustainability, MDPI, vol. 12(18), pages 1-32, September.
    2. Kepas Antoni Adrianus Manurung & Hermanto Siregar & Idqan Fahmi & Dedi Budiman Hakim, 2024. "Sustainable Value Chain for Sustainable Lending of State-Owned Banks in Indonesia," Sustainability, MDPI, vol. 16(12), pages 1-21, June.
    3. Vida Navickiene & Valentina Dagiene & Egle Jasute & Rita Butkiene & Daina Gudoniene, 2021. "Pandemic-Induced Qualitative Changes in the Process of University Studies from the Perspective of University Authorities," Sustainability, MDPI, vol. 13(17), pages 1-16, September.
    4. Shakeel Ahmed & Farah Naz & Safeer Haider, 2022. "The Macroeconomic and Microeconomic Challenges of the COVID-19 Pandemic: A Case Study of Pakistan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(1), pages 13-17, March.
    5. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2020. "Risk and Financial Management of COVID-19 in Business, Economics and Finance," JRFM, MDPI, vol. 13(5), pages 1-7, May.
    6. Irena Jindřichovská & Erginbay Uğurlu, 2021. "E.U. and China Trends in Trade in Challenging Times," JRFM, MDPI, vol. 14(2), pages 1-19, February.
    7. Tomasz Napierała & Katarzyna Leśniewska-Napierała & Rafał Burski, 2020. "Impact of Geographic Distribution of COVID-19 Cases on Hotels’ Performances: Case of Polish Cities," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    8. Ubaldo Comite & Kechen Dong & Rita Yi Man Li & M. James C. Crabbe & Xue-Feng Shao & Xiao-Guang Yue, 2020. "An Economic–Business Approach to Clinical Risk Management," JRFM, MDPI, vol. 13(6), pages 1-12, June.
    9. Bingbing Wang, 2021. "How Does COVID-19 Affect House Prices? A Cross-City Analysis," JRFM, MDPI, vol. 14(2), pages 1-15, January.
    10. Vladimir Beketov & Irina Menshikova & Anastasiya Khudarova, 2022. "Fast Track to Full Online Education in the Medical Field: Evaluating Effectiveness and Identifying Problems From the COVID-19 Experience," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global Scientific Publishing, vol. 17(1), pages 1-24, January.
    11. Chopdar, Prasanta Kr & Paul, Justin & Prodanova, Jana, 2022. "Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: Does social influence matter?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    12. Junliang He & Longkun Qiu, 2022. "Gender and Age Association with Physical Activity and Mood States of Children and Adolescents in Social Isolation during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(22), pages 1-10, November.
    13. Chia-Lin Chang & Michael McAleer, 2020. "Alternative Global Health Security Indexes for Risk Analysis of COVID-19," IJERPH, MDPI, vol. 17(9), pages 1-17, May.
    14. Eun-Jung Kim & Jinkyung Jenny Kim & Sang-Ho Han, 2021. "Understanding Student Acceptance of Online Learning Systems in Higher Education: Application of Social Psychology Theories with Consideration of User Innovativeness," Sustainability, MDPI, vol. 13(2), pages 1-14, January.
    15. Noemi Marujo & Maria do Rosário Borges & Jaime Serra & Rosa Coelho, 2021. "Strategies for Creative Tourism Activities in Pandemic Contexts: The Case of the ‘Saídas de Mestre’ Project," Sustainability, MDPI, vol. 13(19), pages 1-17, September.
    16. Bojan Obrenovic & Jianguo Du & Danijela Godinic & Diana Tsoy & Muhammad Aamir Shafique Khan & Ilimdorjon Jakhongirov, 2020. "Sustaining Enterprise Operations and Productivity during the COVID-19 Pandemic: “Enterprise Effectiveness and Sustainability Model”," Sustainability, MDPI, vol. 12(15), pages 1-27, July.
    17. Michael McAleer, 2020. "Prevention Is Better Than the Cure: Risk Management of COVID-19," JRFM, MDPI, vol. 13(3), pages 1-5, March.
    18. Alaa Alden Al Mohamed & Sobhi Al Mohamed & Morhaf Alebrahem, 2024. "The remote revolution: assessing the impact of working from home on finance professionals," Future Business Journal, Springer, vol. 10(1), pages 1-22, December.
    19. Michael McAleer, 2020. "Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 70-84, March.
    20. Jozef Klucka & Rudolf Gruenbichler & Jozef Ristvej, 2021. "Relations of COVID-19 and the Risk Management Framework," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    21. Alam, Md. Mahmudul & Wei, Haitian & , Abu N. M. Wahid, 2021. "COVID-19 Outbreak and Sectoral Performance of the Australian Stock Market: An Event Study Analysis," OSF Preprints gt4wm, Center for Open Science.
    22. Yen-Jung Chen & Robert Li-Wei Hsu, 2021. "Understanding the Difference of Teachers’ TLPACK before and during the COVID-19 Pandemic: Evidence from Two Groups of Teachers," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    23. Oana Tanculescu & Alina-Mihaela Apostu & Adrian Doloca & Sorina Mihaela Solomon & Diana Diaconu-Popa & Carmen Iulia Ciongradi & Raluca-Maria Vieriu & Ovidiu Aungurencei & Ana-Maria Fatu & Nicoleta Ioa, 2023. "Perception of Remote Learning by Fixed Prosthodontic Students at a Romanian Faculty of Dentistry," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    24. Dmaithan Almajali & Manaf Al-Okaily & Samer Barakat & Hanadi Al-Zegaier & Zulkhairi Md. Dahalin, 2022. "Students’ Perceptions of the Sustainability of Distance Learning Systems in the Post-COVID-19: A Qualitative Perspective," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    25. Luis M. Sánchez Ruiz & Santiago Moll-López & Jose Antonio Moraño-Fernández & Nuria Llobregat-Gómez, 2021. "B-Learning and Technology: Enablers for University Education Resilience. An Experience Case under COVID-19 in Spain," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    26. Cruz García Lirios, 2023. "Risk Management at Public University in Central Mexico," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 53(5), pages 45284-45288, November.
    27. Xiao-Guang Yue & Xue-Feng Shao & Rita Yi Man Li & M. James C. Crabbe & Lili Mi & Siyan Hu & Julien S Baker & Liting Liu & Kechen Dong, 2020. "Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy," JRFM, MDPI, vol. 13(4), pages 1-26, April.
    28. Luca Fiorillo & Gabriele Cervino & Marco Matarese & Cesare D’Amico & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Antonio Moschella & Alessia La Bruna & Giovanni Luca Romano & Riccardo , 2020. "COVID-19 Surface Persistence: A Recent Data Summary and Its Importance for Medical and Dental Settings," IJERPH, MDPI, vol. 17(9), pages 1-10, April.
    29. Adedapo Oluwaseyi Ojo & Olawole Fawehinmi & Mohd Yusoff Yusliza, 2021. "Examining the Predictors of Resilience and Work Engagement during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    30. Azza Abouhashem & Rana Magdy Abdou & Jolly Bhadra & Nitha Siby & Zubair Ahmad & Noora Jabor Al-Thani, 2021. "COVID-19 Inspired a STEM-Based Virtual Learning Model for Middle Schools—A Case Study of Qatar," Sustainability, MDPI, vol. 13(5), pages 1-24, March.
    31. Saida Affouneh & Zuheir N. Khlaif & Daniel Burgos & Soheil Salha, 2021. "Virtualization of Higher Education during COVID-19: A Successful Case Study in Palestine," Sustainability, MDPI, vol. 13(12), pages 1-18, June.
    32. Wunong Zhang & Yuxin Wang & Lili Yang & Chuanyi Wang, 2020. "Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak," JRFM, MDPI, vol. 13(3), pages 1-6, March.
    33. Monika Małgorzata Wojcieszak-Zbierska & Anna Jęczmyk & Jan Zawadka & Jarosław Uglis, 2020. "Agritourism in the Era of the Coronavirus (COVID-19): A Rapid Assessment from Poland," Agriculture, MDPI, vol. 10(9), pages 1-19, September.
    34. Olena Knysh & Oksana Dudziak, 2020. "Overcoming the Challenges – the Impact of COVID-19 on Agricultural Higher Education in Ukraine," Revista romaneasca pentru educatie multidimensionala - Journal for Multidimensional Education, Editura Lumen, Department of Economics, vol. 12(2Sup1), pages 162-167, September.
    35. Gabriele Cervino & Luca Fiorillo & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Rosa De Stefano & Riccardo Laudicella & Sergio Baldari & Michele Gaeta & Marco Cicciù, 2020. "SARS-CoV-2 Persistence: Data Summary up to Q2 2020," Data, MDPI, vol. 5(3), pages 1-16, September.
    36. Azza Abouhashem & Rana Magdy Abdou & Jolly Bhadra & Malavika Santhosh & Zubair Ahmad & Noora Jabor Al-Thani, 2021. "A Distinctive Method of Online Interactive Learning in STEM Education," Sustainability, MDPI, vol. 13(24), pages 1-17, December.
    37. Michael McAleer, 2020. "Is One Diagnostic Test for COVID-19 Enough?," JRFM, MDPI, vol. 13(4), pages 1-3, April.
    38. Katarzyna Grondys & Oliwia Ślusarczyk & Hafezali Iqbal Hussain & Armenia Androniceanu, 2021. "Risk Assessment of the SME Sector Operations during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(8), pages 1-19, April.
    39. Jeong-Joon Kim & Byeong-Cheol Lee & Hyo-Jeong Byun, 2022. "In the COVID-19 Era, When and Where Will You Travel Abroad? Prediction through Application of PPM Model," Sustainability, MDPI, vol. 14(18), pages 1-27, September.
    40. Olivier Boiral & Marie-Christine Brotherton & Léo Rivaud & Laurence Guillaumie, 2021. "Organizations’ Management of the COVID-19 Pandemic: A Scoping Review of Business Articles," Sustainability, MDPI, vol. 13(7), pages 1-20, April.
    41. Wanqiu Yang & Peng Li & Yubo Huang & Xiao Yang & Wei Mu & Wangwei Jing & Xiaohong Ma & Xiangyang Zhang, 2022. "Cross-Cultural Adaptation and Validation of the Fear of COVID-19 Scale for Chinese University Students: A Cross-Sectional Study," IJERPH, MDPI, vol. 19(14), pages 1-13, July.
    42. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    43. Karen Mae V. Subia, 2023. "Disclosing the Challenges of Online Modality of Learning of Intermediate Students in Doña Remedios Trinidad," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(4), pages 37-56, April.
    44. Yanzhi Zhao & Mingsi Zhao & Fengyu Shi, 2024. "RETRACTED ARTICLE: Integrating Moral Education and Educational Information Technology: A Strategic Approach to Enhance Rural Teacher Training in Universities," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15053-15093, September.
    45. Wei Liu & Xiao-Guang Yue & Paul B. Tchounwou, 2020. "Response to the COVID-19 Epidemic: The Chinese Experience and Implications for Other Countries," IJERPH, MDPI, vol. 17(7), pages 1-6, March.
    46. Michael McAleer, 2020. "Ten Most Highly Cited Papers in Journal of Risk and Financial Management (JRFM), 2018–2020," JRFM, MDPI, vol. 13(12), pages 1-5, November.
    47. Masoomeh Maarefvand & Samaneh Hosseinzadeh & Ozra Farmani & Atefeh Safarabadi Farahani & Jagdish Khubchandani, 2020. "Coronavirus Outbreak and Stress in Iranians," IJERPH, MDPI, vol. 17(12), pages 1-11, June.
    48. Nezha Mejjad & El Khalil Cherif & Antonio Rodero & Dorota Anna Krawczyk & Jauad El Kharraz & Aniss Moumen & Mourad Laqbaqbi & Ahmed Fekri, 2021. "Disposal Behavior of Used Masks during the COVID-19 Pandemic in the Moroccan Community: Potential Environmental Impact," IJERPH, MDPI, vol. 18(8), pages 1-19, April.
    49. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "The Future of Tourism in the COVID-19 Era," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 218-230, September.
    50. Ayla Hendekci & Türkan Kadiroğlu, 2024. "The Relationship Between Coronavirus Phobia and Life Satisfaction Among Adolescents in the Post-Pandemic Period," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 17(6), pages 2419-2431, December.
    51. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "A Charter for Sustainable Tourism after COVID-19," Sustainability, MDPI, vol. 12(9), pages 1-4, May.

  25. Michael McAleer, 2020. "Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 70-84, March.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "The Future of Tourism in the COVID-19 Era," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 218-230, September.

  26. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2020. "Causality between CO2 Emissions and Stock Markets," Energies, MDPI, vol. 13(11), pages 1-14, June.

    Cited by:

    1. Benjamin Cisagara, 2024. "Finance and climate change: assessing the impact of physical, transition, and regulation risks on asset pricing valuation," Journal of Asset Management, Palgrave Macmillan, vol. 25(7), pages 630-652, December.
    2. Mahdi Salehi & Seyed Hamed Fahimifard & Grzegorz Zimon & Andrzej Bujak & Adam Sadowski, 2022. "The Effect of CO 2 Gas Emissions on the Market Value, Price and Shares Returns," Energies, MDPI, vol. 15(23), pages 1-17, December.
    3. Tingli, Liu & Ishtiaq, Muhammad & Saud, Shah & Rasheed, Muhammad Qamar, 2025. "Achieving sustainable development in emerging economies: Interplay between markets, resources, and environment," Renewable Energy, Elsevier, vol. 238(C).
    4. Alkathery, Mohammed A. & Chaudhuri, Kausik & Nasir, Muhammad Ali, 2023. "Dependence between the GCC energy equities, global clean energy and emission markets: Evidence from wavelet analysis," Energy Economics, Elsevier, vol. 121(C).
    5. Sofia Karagiannopoulou & Grigoris Giannarakis & Emilios Galariotis & Constantin Zopounidis & Nikolaos Sariannidis, 2022. "The Impact of Dow Jones Sustainability Index, Exchange Rate and Consumer Sentiment Index on Carbon Emissions," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    6. Mesut Doğan & Sutbayeva Raikhan & Nurbossynova Zhanar & Bodaukhan Gulbagda, 2023. "Analysis of Dynamic Connectedness Relationships among Clean Energy, Carbon Emission Allowance, and BIST Indexes," Sustainability, MDPI, vol. 15(7), pages 1-13, March.
    7. Magdalena Cyrek & Piotr Cyrek, 2021. "Does Economic Structure Differentiate the Achievements towards Energy SDG in the EU?," Energies, MDPI, vol. 14(8), pages 1-18, April.
    8. Saïd Toumi & Abdussalam Aljadani & Hassen Toumi & Bilel Ammouri & Moez Dhiabi, 2025. "AI for climate change: unveiling pathways to sustainable development through greenhouse gas emission predictions," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 15(4), pages 923-963, December.
    9. Yilmaz Bayar & Mahmut Unsal Sasmaz & Mehmet Hilmi Ozkaya, 2020. "Impact of Trade and Financial Globalization on Renewable Energy in EU Transition Economies: A Bootstrap Panel Granger Causality Test," Energies, MDPI, vol. 14(1), pages 1-13, December.
    10. Anass Hamadelneel Adow, 2024. "Stock Market Development and Environmental Sustainability in Saudi Arabia: Asymmetry Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 410-417, September.
    11. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    12. Sandra Chukwudumebi Obiora & Muhammad Abid & Olusola Bamisile & Juliana Hj Zaini, 2023. "Is Carbon Neutrality Attainable with Financial Sector Expansion in Various Economies? An Intrinsic Analysis of Economic Activity on CO 2 Emissions," Sustainability, MDPI, vol. 15(9), pages 1-27, April.

  27. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "A Charter for Sustainable Tourism after COVID-19," Sustainability, MDPI, vol. 12(9), pages 1-4, May.

    Cited by:

    1. Alba Viana-Lora & Marta Gemma Nel-lo-Andreu, 2022. "Bibliometric analysis of trends in COVID-19 and tourism," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-8, December.
    2. Liubov Zharova & Natalia Raksha & Anhelina Spitsyna & Olena Karolop & Tetiana Mirzodaieva, 2022. "Development of tourism services in the framework of sustainable development after the COVID-19 pandemic," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(1), pages 13-30.
    3. Sotirios Varelas & Nikolaos Apostolopoulos, 2020. "The Implementation of Strategic Management in Greek Hospitality Businesses in Times of Crisis," Sustainability, MDPI, vol. 12(17), pages 1-14, September.
    4. Michał Roman & Arkadiusz Niedziółka & Andrzej Krasnodębski, 2020. "Respondents’ Involvement in Tourist Activities at the Time of the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(22), pages 1-21, November.
    5. Beatriz Palacios-Florencio & Luna Santos-Roldán & Juan Manuel Berbel-Pineda & Ana María Castillo-Canalejo, 2021. "Sustainable Tourism as a Driving force of the Tourism Industry in a Post-Covid-19 Scenario," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(3), pages 991-1011, December.
    6. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2020. "Risk and Financial Management of COVID-19 in Business, Economics and Finance," JRFM, MDPI, vol. 13(5), pages 1-7, May.
    7. Ana Brochado & Paula Rodrigues & Ana Sousa & Ana Pinto Borges & Mónica Veloso & Mónica Gómez-Suárez, 2023. "Resilience and Sustainable Urban Tourism: Understanding Local Communities’ Perceptions after a Crisis," Sustainability, MDPI, vol. 15(18), pages 1-21, September.
    8. Melnyk Mariana & Leshchukh Iryna & Baranova Viktoriia, 2021. "The Effect of the Covid-19 Pandemic and Quarantine Restrictions on Business and Socio-Economic Dynamics in Ukraine," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 43(3), pages 415-429, September.
    9. Adriana Burlea-Schiopoiu & Mara Del Baldo & Samuel O. Idowu, 2022. "The Spirit of Adventure: A Driver of Attractiveness of the Hospitality Industry for Young People during a Pandemic Crisis," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    10. María Dolores García-Gallo & Félix Jiménez-Naharro & Miguel Torres-García & José Guadix-Martín & Susan L. Giesecke, 2021. "Sustainability of Spanish Tourism Start-Ups in the Face of an Economic Crisis," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    11. Theodoros Daglis, 2024. "The Tourism Industry’s Performance During the Years of the COVID-19 Pandemic," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1173-1189, March.
    12. Meryem Elif Çelebi Karakök & Şebnem Ertaş Beşir, 2023. "Usage Strategies to Increase the Socioeconomic Sustainability of Monumental Structures: The Example of the Hacı Ali Ağa Bath," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
    13. Cláudia Seabra & Ketan Bhatt, 2022. "Tourism Sustainability and COVID-19 Pandemic: Is There a Positive Side?," Sustainability, MDPI, vol. 14(14), pages 1-14, July.
    14. Zyad M. Alzaydi & Mohamed H. Elsharnouby, 2023. "Using social media marketing to pro-tourism behaviours: the mediating role of destination attractiveness and attitude towards the positive impacts of tourism," Future Business Journal, Springer, vol. 9(1), pages 1-13, December.
    15. Yusuf Yılmaz & Engin Üngüren & Ömer Akgün Tekin & Yaşar Yiğit Kaçmaz, 2022. "Living with Infection Risk and Job Insecurity during COVID-19: The Relationship of Organizational Support, Organizational Commitment, and Turnover Intention," IJERPH, MDPI, vol. 19(14), pages 1-24, July.
    16. Parzych Krzysztof, 2025. "Analysis of the labour market in the tourism sector in Poland in statistical terms before, during and after the Covid 19 pandemic," Environmental & Socio-economic Studies, Sciendo, vol. 13(2), pages 35-47.
    17. Nguyen Thi Thanh Van & Vasiliki Vrana & Nguyen Thien Duy & Doan Xuan Huy Minh & Pham Tien Dzung & Subhra R. Mondal & Subhankar Das, 2020. "The Role of Human–Machine Interactive Devices for Post-COVID-19 Innovative Sustainable Tourism in Ho Chi Minh City, Vietnam," Sustainability, MDPI, vol. 12(22), pages 1-30, November.
    18. Monika Widz & Renata Krukowska & Bartłomiej Walas & Zygmunt Kruczek, 2022. "Course of Values of Key Performance Indicators in City Hotels during the COVID-19 Pandemic: Poland Case Study," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    19. José Miguel Rodríguez-Antón & María del Mar Alonso-Almeida, 2020. "COVID-19 Impacts and Recovery Strategies: The Case of the Hospitality Industry in Spain," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    20. Marina Sheresheva & Marina Efremova & Lilia Valitova & Anna Polukhina & Georgy Laptev, 2021. "Russian Tourism Enterprises’ Marketing Innovations to Meet the COVID-19 Challenges," Sustainability, MDPI, vol. 13(7), pages 1-17, March.
    21. Hatem El-Gohary, 2020. "Coronavirus and Halal Tourism and Hospitality Industry: Is It a Journey to the Unknown?," Sustainability, MDPI, vol. 12(21), pages 1-26, November.
    22. Da Van Huynh & Thuy Thi Kim Truong & Long Hai Duong & Nhan Trong Nguyen & Giang Vu Huong Dao & Canh Ngoc Dao, 2021. "The COVID-19 Pandemic and Its Impacts on Tourism Business in a Developing City: Insight from Vietnam," Economies, MDPI, vol. 9(4), pages 1-17, November.
    23. Anca-Gabriela Turtureanu & Rodica Pripoaie & Carmen-Mihaela Cretu & Carmen-Gabriela Sirbu & Emanuel Ştefan Marinescu & Laurentiu-Gabriel Talaghir & Florentina Chițu, 2022. "A Projection Approach of Tourist Circulation under Conditions of Uncertainty," Sustainability, MDPI, vol. 14(4), pages 1-21, February.
    24. Larissa Batrancea, 2021. "The Nexus between Financial Performance and Equilibrium: Empirical Evidence on Publicly Traded Companies from the Global Financial Crisis Up to the COVID-19 Pandemic," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    25. Michael McAleer, 2020. "Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 70-84, March.
    26. Wenwen Zhang & Yi-Bin Chiu, 2020. "Globalization, Country Risks, and Trade in Tourism Services: Evidence from China," Sustainability, MDPI, vol. 12(14), pages 1-26, July.
    27. Alessandra Fermani & Maria Rita Sergi & Angelo Carrieri & Isabella Crespi & Laura Picconi & Aristide Saggino, 2020. "Sustainable Tourism and Facilities Preferences: The Sustainable Tourist Stay Scale (STSS) Validation," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    28. Parvaneh Sobhani & Hadi Veisi & Hassan Esmaeilzadeh & Seyed Mohammad Moein Sadeghi & Marina Viorela Marcu & Isabelle D. Wolf, 2022. "Tracing the Impact Pathways of COVID-19 on Tourism and Developing Strategies for Resilience and Adaptation in Iran," Sustainability, MDPI, vol. 14(9), pages 1-21, May.
    29. Mengen Zhang & HakJun Song, 2023. "A Study on the Structural Relationships between COVID-19 Coping Strategies, Positive Expectations, and the Behavioral Intentions of Various Tourism-Related Behaviors," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    30. Tomasz Kapecki, 2020. "Elements of Sustainable Development in the Context of the Environmental and Financial Crisis and the COVID-19 Pandemic," Sustainability, MDPI, vol. 12(15), pages 1-12, July.
    31. Michał Roman & Monika Roman & Emilia Grzegorzewska & Piotr Pietrzak & Kamil Roman, 2022. "Influence of the COVID-19 Pandemic on Tourism in European Countries: Cluster Analysis Findings," Sustainability, MDPI, vol. 14(3), pages 1-17, January.
    32. Francesca Pirlone & Ilenia Spadaro & Cristiana Arzà & Giovanna Lonati & Piero Garibaldi, 2022. "Application Studies for the Implementation of the Sustainability Charter in the Metropolitan City of Genoa," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    33. Elisa Zentveld & Günay Erol & Ebru Düşmezkalender, 2022. "VFR Travel in Turkey during and Post-COVID-19," Tourism and Hospitality, MDPI, vol. 3(3), pages 1-15, July.
    34. Anca Antoaneta Vărzaru & Claudiu George Bocean & Marian Cazacu, 2021. "Rethinking Tourism Industry in Pandemic COVID-19 Period," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    35. Yanan Li & Sid Terason, 2023. "Configuring the Pattern of Sustainable Tourism Development as Affected by the Construction of a High-Speed Railway System," SAGE Open, , vol. 13(3), pages 21582440231, July.
    36. Salinas Fernández, José Antonio & Guaita Martínez, José Manuel & Martín Martín, José María, 2022. "An analysis of the competitiveness of the tourism industry in a context of economic recovery following the COVID19 pandemic," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    37. JunHui Wang & Yunseon Choe & HakJun Song, 2021. "Korean Domestic Tourists’ Decision-Making Process under Threat of COVID-19," IJERPH, MDPI, vol. 18(20), pages 1-17, October.
    38. Fernando Morante-Carballo & Miguel Gurumendi-Noriega & Juan Cumbe-Vásquez & Lady Bravo-Montero & Paúl Carrión-Mero, 2022. "Georesources as an Alternative for Sustainable Development in COVID-19 Times—A Study Case in Ecuador," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    39. Fotiadis, Anestis & Polyzos, Stathis & Huan, Tzung-Cheng T.C., 2021. "The good, the bad and the ugly on COVID-19 tourism recovery," Annals of Tourism Research, Elsevier, vol. 87(C).
    40. Yanbing Bai & Lu Sun & Haoyu Liu & Chao Xie, 2021. "Using Bus Ticketing Big Data to Investigate the Behaviors of the Population Flow of Chinese Suburban Residents in the Post-COVID-19 Phase," IJERPH, MDPI, vol. 18(11), pages 1-16, June.
    41. Monika Małgorzata Wojcieszak-Zbierska & Anna Jęczmyk & Jan Zawadka & Jarosław Uglis, 2020. "Agritourism in the Era of the Coronavirus (COVID-19): A Rapid Assessment from Poland," Agriculture, MDPI, vol. 10(9), pages 1-19, September.
    42. András Donát Kovács & Péter Gulyás & Jenő Zsolt Farkas, 2021. "Tourism Perspectives in National Parks—A Hungarian Case Study from the Aspects of Rural Development," Sustainability, MDPI, vol. 13(21), pages 1-18, October.
    43. Gabriella Andrade & Holly Itoga & Cathrine Linnes & Jerome Agrusa & Joseph Lema, 2021. "The Economic Sustainability of Culture in Hawai’i: Tourists’ Willingness to Pay for Hawaiian Cultural Experiences," JRFM, MDPI, vol. 14(9), pages 1-25, September.
    44. Łukasz Mamica & Jakub Głowacki & Kamil Makieła, 2021. "Determinants of the Energy Poverty of Polish Students during the COVID-19 Pandemic," Energies, MDPI, vol. 14(11), pages 1-15, June.
    45. Glenn McCartney & Carolina Oi Lam Ung & José Ferreira Pinto, 2022. "Living with COVID-19 and Sustaining a Tourism Recovery—Adopting a Front-Line Collaborative Response between the Tourism Industry and Community Pharmacists," Tourism and Hospitality, MDPI, vol. 3(1), pages 1-22, January.
    46. Yusuke Kitamura & Selim Karkour & Yuki Ichisugi & Norihiro Itsubo, 2020. "Evaluation of the Economic, Environmental, and Social Impacts of the COVID-19 Pandemic on the Japanese Tourism Industry," Sustainability, MDPI, vol. 12(24), pages 1-22, December.
    47. Sanghyun Lee & Sounman Hong & Bong Gyou Lee, 2023. "Is There a Right Way to Lay Off Employees in Times of Crisis?: The Role of Organizational Justice in the Case of Airbnb," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
    48. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    49. Azzeddine Madani & Saad Eddine Boutebal & Hinde Benhamida & Christopher Robin Bryant, 2020. "The Impact of Covid-19 Outbreak on the Tourism Needs of the Algerian Population," Sustainability, MDPI, vol. 12(21), pages 1-11, October.
    50. Ketan Bhatt & Claudia Seabra & Sunil Kumar Kabia & Kumar Ashutosh & Amit Gangotia, 2022. "COVID Crisis and Tourism Sustainability: An Insightful Bibliometric Analysis," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    51. Dong-Shang Chang & Wei-De Wu, 2021. "Impact of the COVID-19 Pandemic on the Tourism Industry: Applying TRIZ and DEMATEL to Construct a Decision-Making Model," Sustainability, MDPI, vol. 13(14), pages 1-28, July.
    52. Attanasi, Giuseppe & Ballatore, Marta & Chessa, Michela & Ciucani, Carlo & Gil-Gallen, Sara, 2026. "Coping with unforeseen contingencies in event management: an analysis of hosts’ perception," SocArXiv kt2va_v2, Center for Open Science.
    53. Michał Roman & Piotr Grudzień, 2021. "The Essence of Agritourism and Its Profitability during the Coronavirus (COVID-19) Pandemic," Agriculture, MDPI, vol. 11(5), pages 1-25, May.
    54. Martina Bosone & Francesca Nocca, 2022. "Human Circular Tourism as the Tourism of Tomorrow: The Role of Travellers in Achieving a More Sustainable and Circular Tourism," Sustainability, MDPI, vol. 14(19), pages 1-35, September.
    55. Foris Diana & Matei Cristina-Alexandra & Foris Tiberiu, 2021. "Exploring Solutions and the Role of GDS Technology in Crossing the Current Pandemic Context in Tourism," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 11(1), pages 91-101, December.
    56. Maria Palazzo & Iza Gigauri & Mirela Clementina Panait & Simona Andreea Apostu & Alfonso Siano, 2022. "Sustainable Tourism Issues in European Countries during the Global Pandemic Crisis," Sustainability, MDPI, vol. 14(7), pages 1-21, March.
    57. Jorge Arnanz & Vicente Ramos & Javier Rey-Maquieira & Akarapong Untong, 2024. "Unravelling the effects of disruptive crises on residents’ support for tourism. Lessons from COVID-19," Tourism Economics, , vol. 30(4), pages 924-946, June.
    58. Yufeng Cheng & Kai Zhu & Quan Zhou & Youssef El Archi & Moaaz Kabil & Bulcsú Remenyik & Lóránt Dénes Dávid, 2023. "Tourism Ecological Efficiency and Sustainable Development in the Hanjiang River Basin: A Super-Efficiency Slacks-Based Measure Model Study," Sustainability, MDPI, vol. 15(7), pages 1-17, April.
    59. Vicente Ramos & Maurici Ruiz-Pérez & Bartomeu Alorda, 2021. "A Proposal for Assessing Digital Economy Spatial Readiness at Tourism Destinations," Sustainability, MDPI, vol. 13(19), pages 1-15, October.

  28. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.

    Cited by:

    1. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
    2. David Edmund Allen & Shelton Peiris, 2023. "GARMA, HAR and Rules of Thumb for Modelling Realized Volatility," Risks, MDPI, vol. 11(10), pages 1-15, October.

  29. Asai Manabu & Peiris Shelton & McAleer Michael & Allen David E., 2020. "Cointegrated Dynamics for a Generalized Long Memory Process: Application to Interest Rates," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-18, January.
    See citations under working paper version above.
  30. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2020. "Risk and Financial Management of COVID-19 in Business, Economics and Finance," JRFM, MDPI, vol. 13(5), pages 1-7, May.

    Cited by:

    1. Alexandra-Camelia Marian-Potra & Ana-Maria Pop & Gheorghe-Gavrilă Hognogi & Júlia A. Nagy, 2022. "Resilience of the Romanian Independent Cultural Sector under COVID-19 Pandemic Using the Grounded Theory," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    2. Ulpiano J. Vázquez-Martínez & Javier Morales-Mediano & Antonio L. Leal-Rodríguez & Carla Pennano, 2025. "Navigating the storm: how managers’ decisions shape companies in crisis," Review of Managerial Science, Springer, vol. 19(5), pages 1567-1597, May.
    3. Jana Majerova & Lubica Gajanova & Margareta Nadanyiova & Anita Kolnhofer Derecskei, 2021. "Intrinsic Motivation Sources as Pillars of Sustainable Internal Marketing Communication in Turbulent Post-Pandemic Times," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    4. Hung, Ngo Thai, 2021. "Oil prices and agricultural commodity markets: Evidence from pre and during COVID-19 outbreak," Resources Policy, Elsevier, vol. 73(C).
    5. Ruixin Su & Bojan Obrenovic & Jianguo Du & Danijela Godinic & Akmal Khudaykulov, 2022. "COVID-19 Pandemic Implications for Corporate Sustainability and Society: A Literature Review," IJERPH, MDPI, vol. 19(3), pages 1-23, January.
    6. Constantin Anghelache & Mădălina-Gabriela Anghel & Ștefan Virgil Iacob & Mirela Panait & Irina Gabriela Rădulescu & Alina Gabriela Brezoi & Adrian Miron, 2022. "The Effects of Health Crisis on Economic Growth, Health and Movement of Population," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
    7. Serghei PETIGHIN, 2024. "Pandemic-resilient investment policies: lessons learned from the COVID-19 crisis," Romanian Journal of Economics, Institute of National Economy, vol. 58(1(67)), pages 117-132, June.
    8. Michael McAleer, 2020. "Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 70-84, March.
    9. Arkadiusz J. Derkacz, 2020. "Fiscal, Investment and Export Multipliers and the COVID-19 Pandemic Slowdowns Uncertainty Factor in the First Half of 2020," Risks, MDPI, vol. 8(4), pages 1-21, November.
    10. Muhammad Iftikhar ul Husnain & Md Shabbir Alam & Nasrullah Nasrullah & Muhammad Aamir Khan, 2025. "Interdependencies of COVID-19 and Financial Equity Markets: A Case of Five Most Affected COVID-19 Countries—A Wavelet Transformed Coherence Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(3), pages 1155-1173, September.
    11. Boguslaw Waclawik, 2021. "Corporate Reporting in the Time of COVID-19: Analysis of Information Disclosed by Selected Companies Listed on the Warsaw Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 386-402.
    12. Diogo Campos-Teixeira & Jorge Tello-Gamarra & João Reis & André Andrade Longaray & Martin Hernani-Merino, 2025. "Fintechs and Institutions: Evidence from an Emerging Economy," JRFM, MDPI, vol. 18(4), pages 1-27, April.
    13. Michael McAleer, 2021. "A Critique of Recent Medical Research in JAMA on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(1), pages 40-142, March.
    14. Just, Margaret & Echaust, Krzysztof, 2023. "Price volatility transfer between agricultural and energy markets – the perspective of European markets during the COVID-19 pandemic and the Russian-Ukrainian war," Village and Agriculture (Wieś i Rolnictwo), Polish Academy of Sciences (IRWiR PAN), Institute of Rural and Agricultural Development, vol. 199(2), August.
    15. Rishi Patel, 2023. "The Transformation of the Healthcare Business through the COVID-19 Pandemic (2020–2021)," JRFM, MDPI, vol. 16(7), pages 1-13, July.
    16. Katarzyna Grondys & Oliwia Ślusarczyk & Hafezali Iqbal Hussain & Armenia Androniceanu, 2021. "Risk Assessment of the SME Sector Operations during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(8), pages 1-19, April.
    17. Nicolae Popa & Ana-Maria Pop & Alexandra-Camelia Marian-Potra & Pompei Cocean & Gheorghe-Gavrilă Hognogi & Nicoleta Afrodita David, 2021. "The Impact of the COVID-19 Pandemic on Independent Creative Activities in Two Large Cities in Romania," IJERPH, MDPI, vol. 18(14), pages 1-15, July.
    18. Ngo Tung Hieu & Lam Minh Huy & Huynh Manh Phat & Nguyen Ngoc Phuong Anh & Wing-Keung Wong, 2020. "Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 15-65, June.
    19. Bouazizi, Tarek & Guesmi, Khaled & Galariotis, Emilios & Vigne, Samuel A., 2024. "Crude oil prices in times of crisis: The role of Covid-19 and historical events," International Review of Financial Analysis, Elsevier, vol. 91(C).
    20. Grzegorz Drozdowski, 2021. "Economic Calculus Qua an Instrument to Support Sustainable Development under Increasing Risk," JRFM, MDPI, vol. 14(1), pages 1-12, January.

  31. Michael McAleer, 2020. "Summary of Advances in Decision Sciences (ADS) - 2020," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(4), pages 89-100, December.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  32. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    See citations under working paper version above.
  33. Michael McAleer, 2020. "Prevention Is Better Than the Cure: Risk Management of COVID-19," JRFM, MDPI, vol. 13(3), pages 1-5, March.

    Cited by:

    1. Natalia Maslii & Maryna Demianchuk & Igor Britchenko & Maksym Bezpartochnyi, 2022. "Modeling Migration Changes According To Alternative Scenarios in the Context of the Global COVID-19 Pandemic: The Example of Ukraine," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 1, pages 58-71.
    2. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2020. "Risk and Financial Management of COVID-19 in Business, Economics and Finance," JRFM, MDPI, vol. 13(5), pages 1-7, May.
    3. Irena Jindřichovská & Erginbay Uğurlu, 2021. "E.U. and China Trends in Trade in Challenging Times," JRFM, MDPI, vol. 14(2), pages 1-19, February.
    4. Jozef Lukáč & Cecília Olexová & Zuzana Kudlová, 2022. "Factors predicting companies’ crisis in the engineering industry from the point of view of financial analysis," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-21, February.
    5. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    6. Alessandro Capocchi & Paola Orlandini & Stefano Amelio, 2021. "Hospital risk management at the time of Covid-19: An analysis of the Lombardy Region," MECOSAN, FrancoAngeli Editore, vol. 0(118), pages 97-116.
    7. Chia-Lin Chang & Michael McAleer, 2020. "Alternative Global Health Security Indexes for Risk Analysis of COVID-19," IJERPH, MDPI, vol. 17(9), pages 1-17, May.
    8. Larissa Batrancea, 2021. "The Nexus between Financial Performance and Equilibrium: Empirical Evidence on Publicly Traded Companies from the Global Financial Crisis Up to the COVID-19 Pandemic," JRFM, MDPI, vol. 14(5), pages 1-12, May.
    9. John Hamilton, 2020. "The Strategic Change Matrix and Business Sustainability across COVID-19," Sustainability, MDPI, vol. 12(15), pages 1-19, July.
    10. Michael McAleer, 2020. "Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 70-84, March.
    11. Ștefan Cristian Gherghina & Daniel Ștefan Armeanu & Camelia Cătălina Joldeș, 2020. "Stock Market Reactions to COVID-19 Pandemic Outbreak: Quantitative Evidence from ARDL Bounds Tests and Granger Causality Analysis," IJERPH, MDPI, vol. 17(18), pages 1-35, September.
    12. Viktor Stojkoski & Petar Jolakoski & Igor Ivanovski, 2020. "The short-run impact of COVID-19 on the activity in the insurance industry in the Republic of North Macedonia," Papers 2011.10826, arXiv.org.
    13. Ramalingam Shanmugam & Lawrence Fulton & Jose Betancourt & Gerardo J. Pacheco, 2022. "Indexing Inefficacy of Efforts to Stop Escalation of COVID Mortality," Mathematics, MDPI, vol. 10(24), pages 1-11, December.
    14. Laato, Samuli & Islam, A.K.M. Najmul & Farooq, Ali & Dhir, Amandeep, 2020. "Unusual purchasing behavior during the early stages of the COVID-19 pandemic: The stimulus-organism-response approach," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    15. Luca Fiorillo & Gabriele Cervino & Marco Matarese & Cesare D’Amico & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Antonio Moschella & Alessia La Bruna & Giovanni Luca Romano & Riccardo , 2020. "COVID-19 Surface Persistence: A Recent Data Summary and Its Importance for Medical and Dental Settings," IJERPH, MDPI, vol. 17(9), pages 1-10, April.
    16. Xiaolin Liu & Yong Liu & Huijuan Shi & Ling Li & Maoping Zheng, 2021. "Regulation of Mindfulness-Based Music Listening on Negative Emotions Related to COVID-19: An ERP Study," IJERPH, MDPI, vol. 18(13), pages 1-19, July.
    17. Wunong Zhang & Yuxin Wang & Lili Yang & Chuanyi Wang, 2020. "Suspending Classes Without Stopping Learning: China’s Education Emergency Management Policy in the COVID-19 Outbreak," JRFM, MDPI, vol. 13(3), pages 1-6, March.
    18. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    19. Gabriele Cervino & Luca Fiorillo & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Rosa De Stefano & Riccardo Laudicella & Sergio Baldari & Michele Gaeta & Marco Cicciù, 2020. "SARS-CoV-2 Persistence: Data Summary up to Q2 2020," Data, MDPI, vol. 5(3), pages 1-16, September.
    20. Michael McAleer, 2020. "Is One Diagnostic Test for COVID-19 Enough?," JRFM, MDPI, vol. 13(4), pages 1-3, April.
    21. Huang, Chiou-Jye & Shen, Yamin & Kuo, Ping-Huan & Chen, Yung-Hsiang, 2022. "Novel spatiotemporal feature extraction parallel deep neural network for forecasting confirmed cases of coronavirus disease 2019," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    22. David E. Allen & Michael McAleer, 2021. "Predicting COVID-19 Cases and Deaths in the USA from Tests and State Populations," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(2), pages 1-27, June.
    23. Christian M. Hafner, 2020. "The Spread of the Covid-19 Pandemic in Time and Space," IJERPH, MDPI, vol. 17(11), pages 1-13, May.
    24. Michael McAleer, 2020. "Ten Most Highly Cited Papers in Journal of Risk and Financial Management (JRFM), 2018–2020," JRFM, MDPI, vol. 13(12), pages 1-5, November.
    25. Imdad, Kashif & Sahana, Mehebub & Rana, Md Juel & Haque, Ismail & Patel, Priyank Pravin & Pramanik, Malay, 2020. "The COVID-19 pandemic's footprint in India: An assessment on the district-level susceptibility and vulnerability," MPRA Paper 100727, University Library of Munich, Germany.
    26. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "The Future of Tourism in the COVID-19 Era," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 218-230, September.
    27. Chia-Lin Chang & Michael McAleer & Vicente Ramos, 2020. "A Charter for Sustainable Tourism after COVID-19," Sustainability, MDPI, vol. 12(9), pages 1-4, May.

  34. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

    Cited by:

    1. Li, Xinran & Cheng, Sheng & Liang, Ruibin & Tang, Tao, 2025. "Internal and external risk spillovers in energy and metal markets: the role of economic policy uncertainties," Economic Analysis and Policy, Elsevier, vol. 87(C), pages 1742-1762.
    2. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    3. Klemeš, Jiří Jaromír & Jiang, Peng & Fan, Yee Van & Bokhari, Awais & Wang, Xue-Chao, 2021. "COVID-19 pandemics Stage II – Energy and environmental impacts of vaccination," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    4. Jana, Rabin K & Ghosh, Indranil & Goyal, Vinay, 2022. "Spillover nexus of financial stress during black Swan events," Finance Research Letters, Elsevier, vol. 48(C).
    5. Zhang, Yongmin & Sun, Yiru, 2023. "Did U.S. and Chinese investors respond differently to the exogenous shocks from COVID-19 and the war in Ukraine?," International Review of Financial Analysis, Elsevier, vol. 88(C).
    6. Martina Pilloni & József Kádár & Tareq Abu Hamed, 2022. "The Impact of COVID-19 on Energy Start-Up Companies: The Use of Global Financial Crisis (GFC) as a Lesson for Future Recovery," Energies, MDPI, vol. 15(10), pages 1-15, May.
    7. Youssef, Mouna & Waked, Sami Sobhi, 2022. "Herding behavior in the cryptocurrency market during COVID-19 pandemic: The role of media coverage," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    8. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu & Wu, Zhanchi, 2022. "Does herding behavior exist in China's carbon markets?," Applied Energy, Elsevier, vol. 308(C).
    9. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
    10. Almeida, Dora & Ferreira, Paulo & Dionísio, Andreia & Aslam, Faheem, 2025. "Exploring the connection between geopolitical risks and energy markets," Energy Economics, Elsevier, vol. 141(C).
    11. Uddin, Gazi Salah & Yahya, Muhammad & Park, Donghyun & Hedström, Axel & Tian, Shu, 2024. "Bond market spillover networks of ASEAN-4 markets: Is the global pandemic different?," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1028-1044.
    12. Nadeem, Nasir & Jadoon, Imran Abbas & Aslam, Faheem & Ferreira, Paulo, 2025. "Time-frequency connectedness and volatility spillovers among green equity sectors: A novel TVP-VAR frequency connectedness approach," Energy, Elsevier, vol. 328(C).
    13. Arfaoui, Nadia & Roubaud, David & Naeem, Muhammad A., 2025. "Energy transition metals, clean and dirty energy markets: A quantile-on-quantile risk transmission analysis of market dynamics," Energy Economics, Elsevier, vol. 143(C).
    14. Zhang, Jiahao & Chen, Xiaodan & Wei, Yu & Bai, Lan, 2023. "Does the connectedness among fossil energy returns matter for renewable energy stock returns? Fresh insights from the Cross-Quantilogram analysis," International Review of Financial Analysis, Elsevier, vol. 88(C).
    15. Kliber, Agata & Łęt, Blanka & Řezáč, Pavel, 2024. "Can a boost in oil prices suspend the evolution of the green transportation market? Relationships between green indices and Brent oil," Energy, Elsevier, vol. 295(C).
    16. Richard T. Ampofo & Eric N. Aidoo & Bernard O. Ntiamoah & Ophelia Frimpong & Daniel Sasu, 2023. "An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 517-540, June.
    17. An Cheng & Tonghui Chen & Guogang Jiang & Xinru Han, 2021. "Can Major Public Health Emergencies Affect Changes in International Oil Prices?," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    18. Blasco, Natividad & Casas, Luis & Ferreruela, Sandra, 2024. "Does war spread the herding effect in stock markets? Evidence from emerging and developed markets during the Russia-Ukraine war," Finance Research Letters, Elsevier, vol. 63(C).
    19. Tong, Yuan & Wan, Ning & Dai, Xingyu & Bi, Xiaoyi & Wang, Qunwei, 2022. "China's energy stock market jumps: To what extent does the COVID-19 pandemic play a part?," Energy Economics, Elsevier, vol. 109(C).
    20. Day, Min-Yuh & Ni, Yensen, 2023. "Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?," Energy, Elsevier, vol. 272(C).
    21. Xu, Xin & Huang, Shupei & Lucey, Brian M. & An, Haizhong, 2023. "The impacts of climate policy uncertainty on stock markets: Comparison between China and the US," International Review of Financial Analysis, Elsevier, vol. 88(C).
    22. Chaofeng Tang & Kentaka Aruga, 2021. "Relationships among the Fossil Fuel and Financial Markets during the COVID-19 Pandemic: Evidence from Bayesian DCC-MGARCH Models," Sustainability, MDPI, vol. 14(1), pages 1-22, December.
    23. Nguyen, Huu Manh & Bakry, Walid & Vuong, Thi Huong Giang, 2023. "COVID-19 pandemic and herd behavior: Evidence from a frontier market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    24. Zhou, Yuqin & Liu, Zhenhua & Wu, Shan, 2022. "The global economic policy uncertainty spillover analysis: In the background of COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 61(C).
    25. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
    26. Achraf Ghorbel & Ahmed Jeribi, 2021. "Volatility spillovers and contagion between energy sector and financial assets during COVID-19 crisis period," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 449-467, September.
    27. Zhou, Wei & Chen, Yan & Chen, Jin, 2022. "Risk spread in multiple energy markets: Extreme volatility spillover network analysis before and during the COVID-19 pandemic," Energy, Elsevier, vol. 256(C).
    28. Pandey, Dharen Kumar & Al-ahdal, Waleed M. & Rusere, Warren & Ali, Azwadi & Nor, Safwan Mohd, 2024. "Impact of firm characteristics and country-level governance on global energy stocks during crises," Research in International Business and Finance, Elsevier, vol. 72(PA).
    29. Patra, Saswat & Malik, Kunjana, 2025. "Return and volatility connectedness among US and Latin American markets: A QVAR approach with implications for hedging and portfolio diversification," Global Finance Journal, Elsevier, vol. 65(C).
    30. Qi, Haozhi & Ma, Lijun & Peng, Pin & Chen, Hao & Li, Kang, 2022. "Dynamic connectedness between clean energy stock markets and energy commodity markets during times of COVID-19: Empirical evidence from China," Resources Policy, Elsevier, vol. 79(C).
    31. Michael McAleer, 2021. "A Critique of Recent Medical Research in JAMA on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(1), pages 40-142, March.
    32. Lu, Shuai & Li, Shouwei & Zhou, Wei & Yang, Wenke, 2022. "Network herding of energy funds in the post-Carbon-Peak Policy era: Does it benefit profitability and stability?," Energy Economics, Elsevier, vol. 109(C).
    33. Zhao, Wandi & Gao, Yang, 2023. "Network connectedness and the contagion structure of informed trading: Evidence from the time and frequency domains," International Review of Financial Analysis, Elsevier, vol. 90(C).
    34. Faheem Aslam & Paulo Ferreira & Haider Ali & Sumera Kauser, 2022. "Herding behavior during the Covid-19 pandemic: a comparison between Asian and European stock markets based on intraday multifractality," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(2), pages 333-359, June.
    35. Loutfi, Ahmad Amine, 2024. "Renewable energy stock prices forecast using environmental television newscasts investors’ sentiment," Renewable Energy, Elsevier, vol. 230(C).
    36. Daniel Stefan Armeanu & Stefan Cristian Gherghina & Jean Vasile Andrei & Camelia Catalina Joldes, 2023. "Evidence from the nonlinear autoregressive distributed lag model on the asymmetric influence of the first wave of the COVID-19 pandemic on energy markets," Energy & Environment, , vol. 34(5), pages 1433-1470, August.
    37. Ahundjanov, Behzod B. & Akhundjanov, Sherzod B. & Okhunjanov, Botir B., 2021. "Risk perception and oil and gasoline markets under COVID-19," Journal of Economics and Business, Elsevier, vol. 115(C).
    38. Mumtaz Hussain & Salma Sadiq & Muhammad Haroon Rasheed & Khurram Amin, 2022. "Exploring the Dynamics of Investors’ Decision Making in Pakistan Stock Market: A Study of Herding Behavior," Journal of Economic Impact, Science Impact Publishers, vol. 4(1), pages 165-173.
    39. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    40. Su, Zhi & Liu, Peng & Fang, Tong, 2022. "Pandemic-induced fear and stock market returns: Evidence from China," Global Finance Journal, Elsevier, vol. 54(C).
    41. Muhammad Waqas Rana & Sufang Zhang & Shahid Ali & Iqra Hamid, 2022. "Investigating Green Financing Factors to Entice Private Sector Investment in Renewables via Digital Media: Energy Efficiency and Sustainable Development in the Post-COVID-19 Era," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    42. Kumpol Saengtabtim & Natt Leelawat & Jing Tang & Anawat Suppasri & Fumihiko Imamura, 2022. "Consequences of COVID-19 on Health, Economy, and Tourism in Asia: A Systematic Review," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    43. Managi, Shunsuke & Yousfi, Mohamed & Ben Zaied, Younes & Ben Mabrouk, Nejah & Ben Lahouel, Béchir, 2022. "Oil price, US stock market and the US business conditions in the era of COVID-19 pandemic outbreak," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 129-139.
    44. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Vo, Xuan Vinh & Kang, Sang Hoon, 2024. "COVID-19 and time-frequency spillovers between oil and sectoral stocks and portfolio implications: Evidence from China and US economies," International Economics, Elsevier, vol. 180(C).
    45. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    46. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    47. Katarzyna Czech & Michał Wielechowski, 2021. "Is the Alternative Energy Sector COVID-19 Resistant? Comparison with the Conventional Energy Sector: Markov-Switching Model Analysis of Stock Market Indices of Energy Companies," Energies, MDPI, vol. 14(4), pages 1-17, February.
    48. Cao, Yan & Cheng, Sheng & Li, Xinran, 2023. "How economic policy uncertainty affects asymmetric spillovers in food and oil prices: Evidence from wavelet analysis," Resources Policy, Elsevier, vol. 86(PB).
    49. Ray Saadaoui Mallek & Mohamed Albaity & Mahfuzur Rahman, 2025. "Economic freedom, economic sustainability, and herding behavior: Does the ubiquity of information communication technology matter?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-29, December.
    50. Malusi Zondi & Masibulele Phesa & Victoria Abena Nutassey, 2025. "Impact of economic shocks in the Johannesburg Stock Exchange 15 index prices," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 14(9), pages 225-245, December.
    51. Cui, Jinxin & Maghyereh, Aktham & Liao, Dijia, 2024. "Risk connectedness between international oil and stock markets during the COVID-19 pandemic and the Russia-Ukraine conflict: Fresh evidence from the higher-order moments," International Review of Economics & Finance, Elsevier, vol. 95(C).
    52. Wang, Jikai & Qiao, Gaoxiu, 2025. "Extreme events and quantile time-frequency volatility connectedness across crude oil, green bonds and low-carbon equity markets," Research in International Business and Finance, Elsevier, vol. 77(PA).
    53. Meral Kagitci, 2020. "The impact of COVID – 19 on the stocks’ yield from the pharmaceutical sector," Journal of Financial Studies, Institute of Financial Studies, vol. 9(5), pages 58-71, November.
    54. Zeng, Qing & Lu, Xinjie & Li, Tao & Wu, Lan, 2022. "Jumps and stock market variance during the COVID-19 pandemic: Evidence from international stock markets," Finance Research Letters, Elsevier, vol. 48(C).
    55. Wang, Yiding & Zhao, Xiaojun & Shang, Junyan, 2025. "Dynamic risk spillover in green financial markets: A wavelet frequency analysis from China," Energy Economics, Elsevier, vol. 143(C).
    56. Chaofeng Tang & Kentaka Aruga, 2021. "Effects of the 2008 Financial Crisis and COVID-19 Pandemic on the Dynamic Relationship between the Chinese and International Fossil Fuel Markets," JRFM, MDPI, vol. 14(5), pages 1-11, May.
    57. Alam, Md Shabbir & Murshed, Muntasir & Manigandan, Palanisamy & Pachiyappan, Duraisamy & Abduvaxitovna, Shamansurova Zilola, 2023. "Forecasting oil, coal, and natural gas prices in the pre-and post-COVID scenarios: Contextual evidence from India using time series forecasting tools," Resources Policy, Elsevier, vol. 81(C).
    58. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    59. Hong, Hui & Jiang, Lijun & Zhang, Cheng & Yue, Zhonggang, 2024. "Do conventional and new energy stock markets herd differently? Evidence from China," Research in International Business and Finance, Elsevier, vol. 67(PA).
    60. Ren, Yinghua & Tan, Anqi & Zhu, Huiming & Zhao, Wanru, 2022. "Does economic policy uncertainty drive nonlinear risk spillover in the commodity futures market?," International Review of Financial Analysis, Elsevier, vol. 81(C).

  35. Nguyen Minh Ha & Bui Hoang Ngoc & Michael Mcaleer, 2020. "Financial Integration, Energy Consumption And Economic Growth In Vietnam," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 15(03), pages 1-19, September.

    Cited by:

    1. Obadiah Ibrahim Damak & Hasan Güngör, 2023. "Globalization and energy consumption's effect on Japan's ecological imprint: Implications for environmental sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(5), pages 3881-3895, October.
    2. Cordelia Onyinyechi Omodero & Uwuigbe Uwalomwa, 2021. "Energy Absorption, CO2 Emissions and Economic Growth Sustainability in Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 69-74.
    3. Khambai Khamjalas, 2024. "Exploring the Spatial Dynamics of FEW Nexus Policies and Their Impact on Income Inequality Using Spatial Econometric Models: Evidence from Southeast Asian Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 14(2), pages 152-167, March.
    4. Shu-kam LEE & Paul Kwok-ching SHUM & Hugo Hin-to LEE & Kai-yin WOO, 2023. "Purchasing Power Parity Between China and Selected BRI Countries in Asia," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 86-108, September.

  36. Thang Cong Nguyen & Tan Ngoc Vu & Duc Hong Vo & Michael McAleer, 2020. "Systematic Risk at the Industry Level: A Case Study of Australia," Risks, MDPI, vol. 8(2), pages 1-12, April.

    Cited by:

    1. Hossein Tarighi & Grzegorz Zimon & Mohammad Javad Sheikh & Mohammad Sayrani, 2024. "The Impact of Firm Risk and the COVID-19 Crisis on Working Capital Management Strategies: Evidence from a Market Affected by Economic Uncertainty," Risks, MDPI, vol. 12(4), pages 1-33, April.
    2. Madhusmita Bhadra & Doyeon Kim, 2023. "Income elasticity of demand and stock market beta," International Finance, Wiley Blackwell, vol. 26(2), pages 225-240, August.

  37. Asai, Manabu & McAleer, Michael & Peiris, Shelton, 2020. "Realized stochastic volatility models with generalized Gegenbauer long memory," Econometrics and Statistics, Elsevier, vol. 16(C), pages 42-54.
    See citations under working paper version above.
  38. David E. Allen & Michael McAleer, 2020. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of West Texas Intermediate Oil Prices and the DOW JONES Index," Energies, MDPI, vol. 13(15), pages 1-11, August.

    Cited by:

    1. Liu, Lei & Chen, Zhi & Al-Hiyari, Ahmad & Nassani, Abdelmohsen, 2024. "Sustainable growth in mineral rich BRI countries: Linking institutional performance, Fintech, and green finance to environmental impact," Resources Policy, Elsevier, vol. 96(C).
    2. Jiecheng Song & Merry Ma, 2023. "Climate Change: Linear and Nonlinear Causality Analysis," Stats, MDPI, vol. 6(2), pages 1-17, May.
    3. Kashif Islam & Ahmad Raza Bilal & Syed Anees Haider Zaidi, 2022. "Symmetric and asymmetric nexus between economic freedom and stock market development in Pakistan," Economic Change and Restructuring, Springer, vol. 55(4), pages 2391-2421, November.
    4. Koushik Mandal & Radhika Prosad Datta, 2024. "Oil Price Dynamics and Sectoral Indices in India – Pre, Post and during COVID Pandemic: A Comparative Evidence from Wavelet-based Causality and NARDL," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 18-33, July.
    5. David E. Allen & Michael McAleer, 2021. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of the FTSE and S&P500 Indexes," Risks, MDPI, vol. 9(11), pages 1-20, November.
    6. Kashif Islam & Ahmad Raza Bilal & Zeeshan Saeed & Samina Sardar & Muhammad Husnain Kamboh, 2023. "Impact of government integrity and corruption on sustainable stock market development: linear and nonlinear evidence from Pakistan," Economic Change and Restructuring, Springer, vol. 56(4), pages 2529-2556, August.
    7. Faisal, Faisal & Ramakrishnan, Suresh & Rahman, Sami Ur & Ali, Adnan & Sulimany, Hamid Ghazi H, 2024. "Asymmetric nexus between shadow economy and financial instability: Does institutional quality matter?," The Quarterly Review of Economics and Finance, Elsevier, vol. 98(C).
    8. Achua, Joseph Kwaghkor & Yusuf, Mariam & Wakdok, Samuel Stephen, 2022. "Nonlinear public debt and resource rent nexus in highly indebted resource-rich sub-Saharan economies: Evidence from Nigeria," Resources Policy, Elsevier, vol. 79(C).
    9. Mohammad Ajmal Hameed & Mohammad Mafizur Rahman & Rasheda Khanam, 2022. "Assessing the asymmetric war-growth nexus: A case of Afghanistan," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-24, August.

  39. Michael McAleer, 2020. "Comments on Recent COVID-19 Research in JAMA," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(3), pages 63-83, September.

    Cited by:

    1. Michael McAleer, 2021. "A Critique of Recent Medical Research in JAMA on COVID-19," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(1), pages 40-142, March.

  40. Duc Hong Vo & Ha Minh Nguyen & Tan Manh Vo & Michael McAleer, 2020. "Information Sharing, Bank Penetration and Tax Evasion in Emerging Markets," Risks, MDPI, vol. 8(2), pages 1-16, April.

    Cited by:

    1. Layal Mansour-Ichrakieh, 2021. "The Impact of Israeli and Saudi Arabian Geopolitical Risks on the Lebanese Financial Market," JRFM, MDPI, vol. 14(3), pages 1-24, February.
    2. Luong Minh Duc, 2025. "Tax Policy Solutions for Economic Growth in Ho Chi Minh City," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(3), pages 3004-3016, March.
    3. Khalil, Sandra & Sidani, Yusuf, 2022. "Personality traits, religiosity, income, and tax evasion attitudes: An exploratory study in Lebanon," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 47(C).

  41. Duc Hong Vo & Phuong Doan Ho & Chi Minh Ho & Michael McAleer, 2019. "The Gender Wealth Gap by Household Head in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(3), pages 122-153, September.

    Cited by:

    1. Hales, Jan & Kemper, Joya & White, Samantha K. & Veer, Ekant, 2024. "Reflections on food policy in the context of healthy and sustainable diets," Food Policy, Elsevier, vol. 128(C).
    2. Petrongolo, Barbara & Ronchi, Maddalena, 2020. "Gender gaps and the structure of local labor markets," Labour Economics, Elsevier, vol. 64(C).
    3. Tamakloe, Reuben & Zhang, Kaihan & Atandzi, Jonathan & Park, Dongjoo, 2024. "Examining urban delivery service user profiles and determinants of drone delivery adoption in Ghana considering usage before and after the COVID-19 pandemic," Transport Policy, Elsevier, vol. 146(C), pages 279-294.
    4. Fröberg, Emelie & Säve-Söderbergh, Jenny & Wahlund, Richard & Wiley Wakeman, S., 2023. "The promise (and peril) in approaching gender parity: Preregistered survey experiments addressing gender inequality in negotiations," Labour Economics, Elsevier, vol. 83(C).
    5. Arteconi, Alessia & Del Zotto, Luca & Tascioni, Roberto & Cioccolanti, Luca, 2019. "Modelling system integration of a micro solar Organic Rankine Cycle plant into a residential building," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

  42. Buu-Chau Truong & Nguyen Van Thuan & Nguyen Huu Hau & Michael McAleer, 2019. "Applications of the Newton-Raphson Method in Decision Sciences and Education," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 52-80, December.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Herman Herman & Oshamah Ibrahim Khalaf, 2023. "Evidence from School Principals: Academic Supervision Decision-making on Improving Teacher Performance in Indonesia," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(3), pages 46-71, September.
    3. Kim-Hung Pho & Ngoc-Hien Nguyen & Huu-Nhan Huynh & Wing-Keung Wong, 2021. "A Detailed Guide on How to Use Statistical Software R for Text Mining," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(3), pages 92-110, September.
    4. Sal Ly & Kim-Hung Pho & Shin-Hung Pan & Wing-Keung Wong, 2024. "Newton-Raphson Method: Overview and Applications," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 52-78, September.

  43. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.

    Cited by:

    1. Duc Hong Vo, 2023. "Market risk, financial distress and firm performance in Vietnam," PLOS ONE, Public Library of Science, vol. 18(7), pages 1-15, July.
    2. Rafael Becerra-Vicario & David Alaminos & Eva Aranda & Manuel A. Fernández-Gámez, 2020. "Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    3. Akarsh Kainth & Ranik Raaen Wahlstrøm, 2021. "Do IFRS Promote Transparency? Evidence from the Bankruptcy Prediction of Privately Held Swedish and Norwegian Companies," JRFM, MDPI, vol. 14(3), pages 1-15, March.
    4. Chia-Lin Chang & Duc Hong Vo, 2020. "Contemporary Issues in Business and Economics in Vietnam and Other Asian Emerging Markets," JRFM, MDPI, vol. 13(6), pages 1-4, May.
    5. Thao Tran & Ngoc Hong Nguyen & Binh Thien Le & Nam Thanh Vu & Duc Hong Vo, 2023. "Examining financial distress of the Vietnamese listed firms using accounting-based models," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-17, May.
    6. Bukalska Elżbieta & Maziarczyk Anna, 2023. "Impact of financial constraints and financial distress on cash holdings," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 59(1), pages 13-31, March.
    7. Magri, Carlotta & Bertacchini, Federico & Marchini, Pier Luigi, 2025. "Resolution of financial distress in SMEs: How do family ownership and involvement affect second chance?," Journal of Family Business Strategy, Elsevier, vol. 16(3).

  44. Michael McAleer, 2019. "What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity, and (Non-) Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," JRFM, MDPI, vol. 12(2), pages 1-9, April.
    See citations under working paper version above.
  45. Michael McAleer & Ha Minh Nguyen & Ngoc Hoang Bui & Duc Hong Vo, 2019. "Energy Consumption and Economic Growth: Evidence from Vietnam," Journal of Reviews on Global Economics, Lifescience Global, vol. 8, pages 350-361.
    See citations under working paper version above.
  46. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

    Cited by:

    1. Yuuki Yoshimoto & Koki Kishimoto & Kanchan Kumar Sen & Takako Fujiwara & Andrew Chapman, 2023. "Toward Economically Efficient Carbon Reduction: Contrasting Greening Plastic Supply Chains with Alternative Energy Policy Approaches," Sustainability, MDPI, vol. 15(17), pages 1-19, September.

  47. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.

    Cited by:

    1. Thang Cong Nguyen & Tan Ngoc Vu & Duc Hong Vo & Michael McAleer, 2020. "Systematic Risk at the Industry Level: A Case Study of Australia," Risks, MDPI, vol. 8(2), pages 1-12, April.
    2. Ahmed Imran Hunjra & Tahar Tayachi & Rashid Mehmood & Sidra Malik & Zoya Malik, 2020. "Impact of Credit Risk on Momentum and Contrarian Strategies: Evidence from South Asian Markets," Risks, MDPI, vol. 8(2), pages 1-14, April.

  48. Anh The Vo & Loan Thi-Hong Van & Duc Hong Vo & Michael Mcaleer, 2019. "Financial Inclusion And Macroeconomic Stability In Emerging And Frontier Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-15, June.
    See citations under working paper version above.
  49. Michael McAleer, 2019. "What They Did Not Tell You about Algebraic (Non-) Existence, Mathematical (IR-)Regularity and (Non-) Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," JRFM, MDPI, vol. 12(2), pages 1-7, April.
    See citations under working paper version above.
  50. Michael McAleer & Tamotsu Nakamura & Clinton Watkins, 2019. "Size, Internationalization, and University Rankings: Evaluating and Predicting Times Higher Education (THE) Data for Japan," Sustainability, MDPI, vol. 11(5), pages 1-12, March.
    See citations under working paper version above.
  51. Caporin, Massimiliano & Chang, Chia-Lin & McAleer, Michael, 2019. "Are the S&P 500 index and crude oil, natural gas and ethanol futures related for intra-day data?," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 50-70.
    See citations under working paper version above.
  52. Chang, Chia-Lin & Liu, Chia-Ping & McAleer, Michael, 2019. "Volatility spillovers for spot, futures, and ETF prices in agriculture and energy," Energy Economics, Elsevier, vol. 81(C), pages 779-792.

    Cited by:

    1. Vo, Long Hai & Le, Thai-Ha, 2021. "Eatery, energy, environment and economic system, 1970–2017: Understanding volatility spillover patterns in a global sample," Energy Economics, Elsevier, vol. 100(C).
    2. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    3. Opeoluwa Adeniyi Adeosun & Richard Olaolu Olayeni & Mosab I. Tabash & Suhaib Anagreh, 2023. "Revisiting the Oil and Food Prices Dynamics: A Time Varying Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(3), pages 275-309, November.
    4. Rangan Gupta & Christian Pierdzioch, 2024. "Multi-Task Forecasting of the Realized Volatilities of Agricultural Commodity Prices," Working Papers 202423, University of Pretoria, Department of Economics.
    5. Alomari, Mohammed & Selmi, Refk & Mensi, Walid & Ko, Hee-Un & Kang, Sang Hoon, 2024. "Dynamic spillovers in higher moments and jumps across ETFs and economic and financial uncertainty factors in the context of successive shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 210-228.
    6. Shu-Han Hsu, 2022. "Investigating the Co-Volatility Spillover Effects between Cryptocurrencies and Currencies at Different Natures of Risk Events," JRFM, MDPI, vol. 15(9), pages 1-15, August.
    7. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    8. Carlo Drago & Andrea Scozzari, 2022. "Evaluating conditional covariance estimates via a new targeting approach and a networks-based analysis," Papers 2202.02197, arXiv.org.
    9. Miklesh Prasad Yadav & Shikha Bhatia & Nidhi Singh & Md Tarikul Islam, 2024. "Financial and energy exchange traded funds futures: an evidence of spillover and portfolio hedging," Annals of Operations Research, Springer, vol. 333(1), pages 501-516, February.
    10. Joanna Górka & Katarzyna Kuziak, 2024. "Dynamic Connectedness Among Alternative and Conventional Energy ETFs Based on the TVP-VAR Approach," Energies, MDPI, vol. 17(23), pages 1-29, November.
    11. Rajabi, Mona Mashhadi & Linnenluecke, Martina & Smith, Tom, 2025. "Information linkages across countries around net zero announcements," Energy Economics, Elsevier, vol. 141(C).
    12. Chang, Dongfeng & Li, Jin & Miao, Chenglin, 2025. "Economic policy uncertainty and financial innovations: A perspective from spillovers in energy exchange-traded funds," Energy Economics, Elsevier, vol. 150(C).
    13. Carlo Drago & Andrea Scozzari, 2023. "A Network-Based Analysis for Evaluating Conditional Covariance Estimates," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    14. Zhuo Chen & Bo Yan & Hanwen Kang, 2022. "Dynamic correlation between crude oil and agricultural futures markets," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1798-1849, August.
    15. BHARTI Bharti & Ratna Priya & Ashish Kumar, 2026. "Decade of research on energy ETF as financial investments: bibliometric and cartographic evidence with a conceptual framework," Future Business Journal, Springer, vol. 12(1), pages 1-17, December.
    16. Pu, Yingjian & Yang, Baochen, 2022. "The commodity futures' historical basis in trading strategy and portfolio investment," Energy Economics, Elsevier, vol. 105(C).
    17. Chi Zhang, 2024. "Dynamics of energy and biofuel markets in the context of rising oil prices," Agribusiness, John Wiley & Sons, Ltd., vol. 40(4), pages 866-884, October.
    18. Octavian Jude & Avraham Turgeman & Claudiu Boțoc & Laura Raisa Miloș, 2023. "Volatility and Spillover Effects between Central–Eastern European Stock Markets and Energy Markets: An Emphasis on Crisis Periods," Energies, MDPI, vol. 16(17), pages 1-12, August.
    19. Lu, Xinjie & Su, Yuandong & Huang, Dengshi, 2023. "Chinese agricultural futures volatility: New insights from potential domestic and global predictors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    20. Harun Uçak & Irfan Ullah & Yakup Ari, 2024. "The volatility connectedness between fertilizers and rice price: evidences from the global major rice-producing countries," Asia-Pacific Journal of Regional Science, Springer, vol. 8(1), pages 239-263, March.
    21. Marszk, Adam & Lechman, Ewa, 2021. "Reshaping financial systems: The role of ICT in the diffusion of financial innovations – Recent evidence from European countries," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    22. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    23. Lang, Le Dang & Tiwari, Aviral Kumar & Hieu, Hoang Ngoc & Ha, Nguyen Minh & Gaur, Jighyasu, 2023. "The role of structural social capital in driving social-oriented sustainable agricultural entrepreneurship," Energy Economics, Elsevier, vol. 124(C).
    24. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).

  53. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.

    Cited by:

    1. Yu, Dan & Wang, Shenghu & Yi, Yuting & Ren, Yu, 2024. "The role of fintech, natural resources and trade policy uncertainty towards SDGs in China: New insights from nonlinear approach," Resources Policy, Elsevier, vol. 91(C).
    2. Deng, Ying & Cao, Zhitao & Yang, Na, 2024. "Understanding the nexus between fintech, natural resources, green investment, and environmental sustainability in China: A DYNARDL approach," Resources Policy, Elsevier, vol. 91(C).
    3. Li, Aihong & Li, Shuyan & Chen, Shuai & Sun, Xiaoqin, 2024. "The role of Fintech, natural resources, and renewable energy consumption in Shaping environmental sustainability in China: A NARDL perspective," Resources Policy, Elsevier, vol. 88(C).
    4. Wei, Haoqiang & Yue, Guiling & Khan, Noor Ullah, 2024. "Uncovering the impact of Fintech, Natural Resources, Green Finance and Green Growth on Environment sustainability in BRICS: An MMQR analysis," Resources Policy, Elsevier, vol. 89(C).
    5. Feng, Jie & Gao, Junhong, 2023. "Natural resource curse hypothesis and governance: Understanding the role of rule of law and political risk in the context of China," Resources Policy, Elsevier, vol. 85(PB).
    6. Wang, Feipeng & Wong, Wing-Keung & Wang, Zheng & Albasher, Gadah & Alsultan, Nouf & Fatemah, Ambreen, 2023. "Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions," Resources Policy, Elsevier, vol. 85(PA).
    7. Song, Yi & Hao, Yuqing, 2024. "Understanding the relationship between Fintech, Natural Resources, Green Finance, and Environmental Sustainability in China: A BARDL approach," Resources Policy, Elsevier, vol. 89(C).
    8. Zeng, Li & Wong, Wing-Keung & Fu, Hu & Mahmoud, Haitham A. & Cong, Phan The & Thuy, Dinh Thi Thanh & Bach, Pham Xuan, 2024. "FinTech and sustainable financing for low carbon energy transitions: A biodiversity and natural resource perspective in BRICS economies," Resources Policy, Elsevier, vol. 88(C).
    9. Ze, Fu & Wong, Wing-Keung & Alhasan, Tariq kamal & Al Shraah, Ata & Ali, Anis & Muda, Iskandar, 2023. "Economic development, natural resource utilization, GHG emissions and sustainable development: A case study of China," Resources Policy, Elsevier, vol. 83(C).
    10. Zhang, Mingming & Wong, Wing-Keung & Kim Oanh, Thai Thi & Muda, Iskandar & Islam, Saiful & Hishan, Sanil S. & Abduvaxitovna, Shamansurova Zilola, 2023. "Regulating environmental pollution through natural resources and technology innovation: Revisiting the environment Kuznet curve in China through quantile-based ARDL estimations," Resources Policy, Elsevier, vol. 85(PA).
    11. Wang, Xiang & Yin, Jian & Yang, Yao & Muda, Iskandar & Abduvaxitovna, Shamansurova Zilola & AlWadi, Belal Mahmoud & Castillo-Picon, Jorge & Abdul-Samad, Zulkiflee, 2023. "Relationship between the resource curse, Forest management and sustainable development and the importance of R&D Projects," Resources Policy, Elsevier, vol. 85(PA).
    12. Li, Xuetao & Jiang, Yufen & Xin, Xing & Nassani, Abdelmohsen A. & Yang, Chengying, 2024. "The asymmetric role of natural resources, fintech and green innovations in the Chinese economy. Evidence from QARDL approach," Resources Policy, Elsevier, vol. 90(C).
    13. Shan, Haipeng & Wong, Wing-Keung & Hu, Haichuan & Shraah, Ata Al & Alromaihi, Abdullah & The Cong, Phan & Thi Minh Uyen, Pham, 2024. "Fintech innovation for sustainable environment: Understanding the role of natural resources and human capital in BRICS using MMQR," Resources Policy, Elsevier, vol. 88(C).
    14. Alao, Rasheed O. & Olanipekun, Ifedolapo O. & Sharimakin, Akinwumi & Olanipekun, Temitope P., 2025. "Breaking down the barriers to a green Africa: Detangling the overlapping issues of fossil fuel energy consumption, resource richness, and economic growth," Resources Policy, Elsevier, vol. 109(C).
    15. Kangda Chen & Fuquan Zhao & Xinglong Liu & Han Hao & Zongwei Liu, 2021. "Impacts of the New Worldwide Light-Duty Test Procedure on Technology Effectiveness and China’s Passenger Vehicle Fuel Consumption Regulations," IJERPH, MDPI, vol. 18(6), pages 1-20, March.
    16. Wei, Xuecheng & Hu, Weihua, 2023. "Revisiting resources curse hypothesis in China: Exploring the asymmetric effect of green investment and green innovation," Resources Policy, Elsevier, vol. 85(PB).
    17. Karambir Singh Dhayal & David Forgenie & Arun Kumar Giri & Nikmatul Khoiriyah & Wendy-Ann P. Isaac, 2026. "Modelling the nexus between green energy, agricultural production, forest cover, and population growth towards climate change for the transition towards a green economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(4), pages 9935-9959, April.
    18. Lin, Chen, 2024. "Asymmetric effects of digitalization, natural resources, capital formation, and green innovations on environmental sustainability in ASEAN countries," Resources Policy, Elsevier, vol. 92(C).
    19. Wu, Yingjia & Cao, Nannan & Muda, Iskandar & Rady, Ahmed & Abduvaxitovna, Shamansurova Zilola, 2024. "Financial development and natural resource nexus: Evaluating the importance of mineral in BRICS economies," Resources Policy, Elsevier, vol. 89(C).
    20. Zhe, Dong & Su, Nan & Zhu, Xianglei & Mahmoud, Haitham A. & Akhtar, Tazeem, 2024. "Non-linear relationship between FinTech, natural resources, green innovation and environmental sustainability: Evidence from panel smooth transition regression model," Resources Policy, Elsevier, vol. 91(C).
    21. Li, Yi & Liu, Christy Ying Ni & Lao, Ut & Dang, Jiangtong, 2024. "Navigating the path to environmental sustainability: Exploring the role of fintech, natural resources and green energy in Belt and Road countries," Resources Policy, Elsevier, vol. 88(C).
    22. Kai, Zhang & Sharaf, Mohamed & Wei, Siao-Yun & Shraah, Ata Al & Le, Luan Thanh & Arvind Bedekar, Dr Abhay & Bani Ahmad, Ahmad Y.A., 2024. "Exploring the asymmetric relationship between natural resources, fintech, remittance and environmental pollution for BRICS nations: New insights from MMQR approach," Resources Policy, Elsevier, vol. 90(C).
    23. Pu, Ganlin & Wong, Wing-Keung & Du, Qiang & Al Shraah, Ata & Alromaihi, Abdullah & Muda, Iskandar, 2024. "Asymmetric impact of natural resources, fintech, and digital banking on climate change and environmental sustainability in BRICS countries," Resources Policy, Elsevier, vol. 91(C).
    24. Yang, Haili & Zou, Jiantao & Luo, Yueyue & Wang, Yuan & Qiu, Yunhua & Guo, Hao, 2024. "The role of fintech, natural resources, and energy use in shaping environmental sustainability in China: A QARDL perspective," Resources Policy, Elsevier, vol. 89(C).
    25. Sumia Mumtaz & Amanda M. Y. Chu & Saman Attiq & Hassan Jalil Shah & Wing-Keung Wong, 2022. "Habit—Does It Matter? Bringing Habit and Emotion into the Development of Consumer’s Food Waste Reduction Behavior with the Lens of the Theory of Interpersonal Behavior," IJERPH, MDPI, vol. 19(10), pages 1-24, May.
    26. Bu, Fan & wu, Hong & Mahmoud, Haitham A. & Alzoubi, Haitham M. & Ramazanovna, Nargiza Kuzieva & Gao, Yirui, 2023. "Do financial inclusion, natural resources and urbanization affect the sustainable environment in emerging economies," Resources Policy, Elsevier, vol. 87(PA).
    27. Liu, Jiexian, 2024. "Analyzing the Co-movement of FinTech market efficiency and oil Resource efficiency: An Input-Output study," Resources Policy, Elsevier, vol. 90(C).
    28. Wang, Xiaoran & Ibrahim, Haslindar, 2024. "Unveiling the effects of mineral markets, fintech and governance on business performance: Evidence from China," Resources Policy, Elsevier, vol. 91(C).

  54. David E. Allen & Michael McAleer & Abhay K. Singh, 2019. "Daily market news sentiment and stock prices," Applied Economics, Taylor & Francis Journals, vol. 51(30), pages 3212-3235, June.
    See citations under working paper version above.
  55. Chang, Chia-Lin & Mai, Te-Ke & McAleer, Michael, 2019. "Establishing national carbon emission prices for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 106(C), pages 1-16.
    See citations under working paper version above.
  56. Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of Jumps and Leverage in Forecasting the Co-Volatility of Oil and Gold Futures," Energies, MDPI, vol. 12(17), pages 1-17, September.
    See citations under working paper version above.
  57. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    See citations under working paper version above.
  58. Chang, Chia-Lin & McAleer, Michael, 2019. "The fiction of full BEKK: Pricing fossil fuels and carbon emissions," Finance Research Letters, Elsevier, vol. 28(C), pages 11-19.
    See citations under working paper version above.
  59. Michael McAleer, 2019. "Summary of Advances in Decision Sciences (ADS) - 2019," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 81-93, December.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  60. Kim-Hung Pho & Bui Anh Tuan & Michael McAleer & Nguyen Thi Tieu Dang, 2019. "Developing Formulas for Quick Calculation of Polyhedron Volume in Spatial Geometry: Application to Vietnam," Journal of Reviews on Global Economics, Lifescience Global, vol. 8, pages 815-837.

    Cited by:

    1. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    2. Ngo Tung Hieu & Lam Minh Huy & Huynh Manh Phat & Nguyen Ngoc Phuong Anh & Wing-Keung Wong, 2020. "Decision Sciences in Education: The STEMtech Model to Create Stem Products at High Schools in Vietnam," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 15-65, June.

  61. Duc Hong Vo & Tan Ngoc Vu & Anh The Vo & Michael McAleer, 2019. "Modeling the Relationship between Crude Oil and Agricultural Commodity Prices," Energies, MDPI, vol. 12(7), pages 1-41, April.
    See citations under working paper version above.
  62. Michael McAleer & Hang K. Ryu & Daniel J. Slottje, 2019. "A New Inequality Measure that is Sensitive to Extreme Values and Asymmetries," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 31-61, March.
    See citations under working paper version above.
  63. Chia-Lin Chang & Michael McAleer & Jiarong Tian, 2019. "Modeling and Testing Volatility Spillovers in Oil and Financial Markets for the USA, the UK, and China," Energies, MDPI, vol. 12(8), pages 1-24, April.
    See citations under working paper version above.
  64. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.

    Cited by:

    1. Paoyu Huang & Yensen Ni & Min-Yuh Day & Yuhsin Chen, 2025. "Enhancing Investment Profitability: Study on Contrarian Technical Strategies in Brent Crude Oil Markets," Energies, MDPI, vol. 18(11), pages 1-19, May.
    2. Min-Yuh Day & Yensen Ni & Chinning Hsu & Paoyu Huang, 2022. "Do Investment Strategies Matter for Trading Global Clean Energy and Global Energy ETFs?," Energies, MDPI, vol. 15(9), pages 1-15, May.
    3. Talat S. Genc & Stephen Kosempel, 2023. "Energy Transition and the Economy: A Review Article," Energies, MDPI, vol. 16(7), pages 1-26, March.
    4. Dan Nie & Yanbin Li & Xiyu Li, 2021. "Dynamic Spillovers and Asymmetric Spillover Effect between the Carbon Emission Trading Market, Fossil Energy Market, and New Energy Stock Market in China," Energies, MDPI, vol. 14(19), pages 1-22, October.
    5. Day, Min-Yuh & Ni, Yensen, 2023. "The profitability of seasonal trading timing: Insights from energy-related markets," Energy Economics, Elsevier, vol. 128(C).
    6. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2020. "Herding behaviour in energy stock markets during the Global Financial Crisis, SARS, and ongoing COVID-19," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

  65. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," JRFM, MDPI, vol. 11(1), pages 1-29, March.
    See citations under working paper version above.
  66. Xu Guo & Gao-Rong Li & Michael McAleer & Wing-Keung Wong, 2018. "Specification Testing of Production in a Stochastic Frontier Model," Sustainability, MDPI, vol. 10(9), pages 1-10, August.
    See citations under working paper version above.
  67. Michael McAleer, 2018. "Editorial Note: Review Papers for Journal of Risk and Financial Management (JRFM)," JRFM, MDPI, vol. 11(2), pages 1-2, April.

    Cited by:

    1. Michael McAleer, 2020. "Review Papers for Journal of Risk and Financial Management ( JRFM )," JRFM, MDPI, vol. 13(8), pages 1-4, August.

  68. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News And Indifference To Truth: Dissecting Tweets And State Of The Union Addresses By Presidents Obama And Trump," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 180-203, December.
    See citations under working paper version above.
  69. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

    Cited by:

    1. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    3. Massoud Moslehpour & Ka Yin Chau & Alaleh Dadvari & Ben-Roy Do & Victoria Seitz, 2019. "What Killed HTC and Kept Apple Alive? Brand Sustainability Comparison of Two Asian Countries," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    4. Massoud Moslehpour & Purevdulam Altantsetseg & Weiming Mou & Wing-Keung Wong, 2018. "Organizational Climate and Work Style: The Missing Links for Sustainability of Leadership and Satisfied Employees," Sustainability, MDPI, vol. 11(1), pages 1-17, December.
    5. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    6. Kanwal Iqbal Khan & Syed M. Waqar Azeem Naqvi & Muhammad Mudassar Ghafoor & Rana Shahid Imdad Akash, 2020. "Sustainable Portfolio Optimization with Higher-Order Moments of Risk," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    7. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    8. Hassan Jalil Shah & Jenho Peter Ou & Saman Attiq & Muhammad Umer & Wing-Keung Wong, 2022. "Does Inclusive Leadership Improve the Sustainability of Employee Relations? Test of Justice Theory and Employee Perceived Insider Status," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    9. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "Return and Volatility Transmission between World-Leading and Latin American Stock Markets: Portfolio Implications," JRFM, MDPI, vol. 13(7), pages 1-19, July.
    10. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    11. Zhiping Chen & Xinkai Zhuang & Jia Liu, 2019. "A Sustainability-Oriented Enhanced Indexation Model with Regime Switching and Cardinality Constraint," Sustainability, MDPI, vol. 11(15), pages 1-14, July.
    12. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    13. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  70. Guillaume Gaetan Martinet & Michael McAleer, 2018. "On the invertibility of EGARCH(p, q)," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 824-849, September.
    See citations under working paper version above.
  71. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.

    Cited by:

    1. Buu-Chau Truong & Nguyen Van Thuan & Nguyen Huu Hau & Michael McAleer, 2019. "Applications of the Newton-Raphson Method in Decision Sciences and Education," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 52-80, December.
    2. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    3. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.

  72. Michael McAleer, 2018. "22nd Anniversary Special Issue Of Advances In Decision Sciences (Ads), 1997-2018," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 1-12, December.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Michael McAleer, 2019. "Summary of Advances in Decision Sciences (ADS) - 2019," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 81-93, December.

  73. Chia-Lin Chang & Michael McAleer & Ju-Ting Tang, 2018. "Joint and Cross-Border Patents as Proxies for International Technology Diffusion," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 1-29, April.
    See citations under working paper version above.
  74. Niu, Cuizhen & Guo, Xu & McAleer, Michael & Wong, Wing-Keung, 2018. "Theory and application of an economic performance measure of risk," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 383-396.
    See citations under working paper version above.
  75. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.

    Cited by:

    1. Santiago Alonso García & Gerardo Gómez García & Mariano Sanz Prieto & Antonio José Moreno Guerrero & Carmen Rodríguez Jiménez, 2020. "The Impact of Term Fake News on the Scientific Community. Scientific Performance and Mapping in Web of Science," Social Sciences, MDPI, vol. 9(5), pages 1-16, May.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.

  76. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    See citations under working paper version above.
  77. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
    See citations under working paper version above.
  78. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    See citations under working paper version above.
  79. Chang, Chia-Lin & McAleer, Michael & Wang, Yanghuiting, 2018. "Testing Co-Volatility spillovers for natural gas spot, futures and ETF spot using dynamic conditional covariances," Energy, Elsevier, vol. 151(C), pages 984-997.
    See citations under working paper version above.
  80. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    See citations under working paper version above.
  81. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    See citations under working paper version above.
  82. Chia-Lin Chang & Te-Ke Mai & Michael Mcaleer, 2018. "Pricing Carbon Emissions In China," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-37, September.
    See citations under working paper version above.
  83. David E. Allen & Michael McAleer, 2018. "Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 625-629, October.
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  84. David E. Allen & Michael McAleer, 2018. "Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management," Energies, MDPI, vol. 11(7), pages 1-19, June.
    See citations under working paper version above.
  85. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "An Event Study Analysis of Political Events, Disasters, and Accidents for Chinese Tourists to Taiwan," Sustainability, MDPI, vol. 10(11), pages 1-77, November.

    Cited by:

    1. Li-Ling Liu, 2025. "Do Natural Disasters Alter Tourism Industry Risks Differently over Time?," Mathematics, MDPI, vol. 13(13), pages 1-13, June.
    2. Guastella, Gianni & Mazzarano, Matteo & Pareglio, Stefano & Xepapadeas, Anastasios, 2022. "Climate reputation risk and abnormal returns in the stock markets: A focus on large emitters," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Nicolau, Juan Luis & Sharma, Abhinav, 2022. "A review of research into drivers of firm value through event studies in tourism and hospitality: Launching the Annals of Tourism Research curated collection on drivers of firm value through event studies in tourism and hospitality," Annals of Tourism Research, Elsevier, vol. 95(C).

  86. MICHAEL McALEER, 2018. "Editorial Note: Review Papers For Annals Of Financial Economics," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-2, March.

    Cited by:

    1. Michael McAleer, 2020. "Review Papers for Journal of Risk and Financial Management ( JRFM )," JRFM, MDPI, vol. 13(8), pages 1-4, August.

  87. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Research Ideas For Advances In Decision Sciences (Ads): 22nd Anniversary Special Issue In 2018," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 23-35, December.
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  88. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
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  89. WeiMing Mou & Wing-Keung Wong & Michael McAleer, 2018. "Financial Credit Risk Evaluation Based on Core Enterprise Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-17, October.
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  90. Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Market Timing with Moving Averages," Sustainability, MDPI, vol. 10(7), pages 1-25, June.
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  91. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Editorial Statement of Intent for Advances in Decision Sciences (ADS): 22nd Anniversary Special Issue in 2018," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 13-22, December.

    Cited by:

    1. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    2. Michael McAleer, 2018. "22nd Anniversary Special Issue Of Advances In Decision Sciences (Ads), 1997-2018," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 1-12, December.
    3. Michael McAleer, 2019. "Summary of Advances in Decision Sciences (ADS) - 2019," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(4), pages 81-93, December.

  92. Batmunkh John Munkh-Ulzii & Michael McAleer & Massoud Moslehpour & Wing-Keung Wong, 2018. "Confucius and Herding Behaviour in the Stock Markets in China and Taiwan," Sustainability, MDPI, vol. 10(12), pages 1-16, November.

    Cited by:

    1. Andy Wui-Wing Cheng & Nikolai Sheung-Chi Chow & David Kam-Hung Chui & Wing-Keung Wong, 2019. "The Three Musketeers Relationships between Hong Kong, Shanghai and Shenzhen Before and After Shanghai–Hong Kong Stock Connect," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    3. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    4. Massoud Moslehpour & Ka Yin Chau & Alaleh Dadvari & Ben-Roy Do & Victoria Seitz, 2019. "What Killed HTC and Kept Apple Alive? Brand Sustainability Comparison of Two Asian Countries," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    5. Kalugala Vidanalage Aruna Shantha, 2019. "Individual Investors’ Learning Behavior and Its Impact on Their Herd Bias: An Integrated Analysis in the Context of Stock Trading," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    6. Batmunkh, Munkh-Ulzii & Choijil, Enkhbayar & Vieito, João Paulo & Espinosa-Méndez, Christian & Wong, Wing-Keung, 2020. "Does herding behavior exist in the Mongolian stock market?," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    7. Nguyen, Huu Manh & Bakry, Walid & Vuong, Thi Huong Giang, 2023. "COVID-19 pandemic and herd behavior: Evidence from a frontier market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    8. Hassan Jalil Shah & Jenho Peter Ou & Saman Attiq & Muhammad Umer & Wing-Keung Wong, 2022. "Does Inclusive Leadership Improve the Sustainability of Employee Relations? Test of Justice Theory and Employee Perceived Insider Status," Sustainability, MDPI, vol. 14(21), pages 1-19, November.
    9. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    10. Sayyed Sadaqat Hussain Shah & Muhammad Asif Khan & Natanya Meyer & Daniel F. Meyer & Judit Oláh, 2019. "Does Herding Bias Drive the Firm Value? Evidence from the Chinese Equity Market," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    11. Tran Thai Ha Nguyen & Massoud Moslehpour & Thi Thuy Van Vo & Wing-Keung Wong, 2020. "State Ownership and Risk-Taking Behavior: An Empirical Approach to Get Better Profitability, Investment, and Trading Strategies for Listed Corporates in Vietnam," Economies, MDPI, vol. 8(2), pages 1-21, June.
    12. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    13. Hui HONG & Shulin XU & Chien-Chiang LEE, 2020. "Investor Herding in the China Stock Market: An Examination of ChiNext," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 47-61, December.

  93. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    See citations under working paper version above.
  94. Manabu Asai & Michael McAleer, 2017. "A fractionally integrated Wishart stochastic volatility model," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 42-59, March.
    See citations under working paper version above.
  95. Chia-Lin Chang & Michael McAleer, 2017. "A Simple Test for Causality in Volatility," Econometrics, MDPI, vol. 5(1), pages 1-5, March.
    See citations under working paper version above.
  96. Manabu Asai & Michael McAleer, 2017. "The impact of jumps and leverage in forecasting covolatility," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 638-650, October.
    See citations under working paper version above.
  97. Michael McAleer & Ning Mao, 2017. "Re-Opening the Silk Road to Transform Chinese Trade," Journal of Reviews on Global Economics, Lifescience Global, vol. 6, pages 225-232.
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  98. Michael McAleer & Ning Mao, 2017. "Theravada Buddhism and Thai Luxury Fashion Consumption," Journal of Reviews on Global Economics, Lifescience Global, vol. 6, pages 58-67.
    See citations under working paper version above.
  99. Chang, Chia-Lin & McAleer, Michael, 2017. "The correct regularity condition and interpretation of asymmetry in EGARCH," Economics Letters, Elsevier, vol. 161(C), pages 52-55.
    See citations under working paper version above.
  100. David E Allen & Michael McAleer & Abhay K Singh, 2017. "An entropy-based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 677-692, February.
    See citations under working paper version above.
  101. Manabu Asai & Michael McAleer, 2017. "Forecasting the volatility of Nikkei 225 futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(11), pages 1141-1152, November.
    See citations under working paper version above.
  102. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2017. "Volatility spillover and multivariate volatility impulse response analysis of GFC news events," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3246-3262, July.
    See citations under working paper version above.
  103. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    See citations under working paper version above.
  104. Shelton Peiris & Manabu Asai & Michael McAleer, 2017. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," JRFM, MDPI, vol. 10(4), pages 1-16, December.
    See citations under working paper version above.
  105. Michael McAleer & Chia-Lin Chang, 2017. "Recent Topical Research on Global, Energy, Health & Medical, and Tourism Economics, and Global Software: An Overview," Journal of Reviews on Global Economics, Lifescience Global, vol. 6, pages 218-224.

    Cited by:

    1. Fang, Zhen, 2023. "Assessing the impact of renewable energy investment, green technology innovation, and industrialization on sustainable development: A case study of China," Renewable Energy, Elsevier, vol. 205(C), pages 772-782.
    2. Hailiang, Zeng & Chau, Ka Yin & Waqas, Muhammad, 2023. "Does green finance and renewable energy promote tourism for sustainable development: Empirical evidence from China," Renewable Energy, Elsevier, vol. 207(C), pages 660-671.

  106. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2017. "Realized stochastic volatility with general asymmetry and long memory," Journal of Econometrics, Elsevier, vol. 199(2), pages 202-212.
    See citations under working paper version above.
  107. David E. Allen & Michael McAleer & Abhay K. Singh, 2017. "Risk Measurement and Risk Modelling Using Applications of Vine Copulas," Sustainability, MDPI, vol. 9(10), pages 1-34, September.
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  108. Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
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  109. Piyanuch Chaipornkaew & Takorn Prexawanprasut & Michael McAleer, 2017. "You’ve Got Email: A Workflow Management Extraction System," Journal of Reviews on Global Economics, Lifescience Global, vol. 6, pages 342-349.

    Cited by:

    1. Piyanuch Chaipornkaew & Takorn Prexawanprasut & Chia-Lin Chang & Michael McAleer, 2017. "A Generalized Email Classification System for Workflow Analysis," Documentos de Trabajo del ICAE 2017-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  110. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2017. "A Tourism Financial Conditions Index for Tourism Finance," Challenges, MDPI, vol. 8(2), pages 1-17, September.
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  111. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    See citations under working paper version above.
  112. Chia-Lin Chang & Esfandiar Maasoumi & Michael McAleer, 2016. "Robust Ranking of Journal Quality: An Application to Economics," Econometric Reviews, Taylor & Francis Journals, vol. 35(1), pages 50-97, January.
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  113. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2016. "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Risks, MDPI, vol. 4(1), pages 1-14, March.
    See citations under working paper version above.
  114. García-Hiernaux, Alfredo & Guerrero, David E. & McAleer, Michael, 2016. "Market integration dynamics and asymptotic price convergence in distribution," Economic Modelling, Elsevier, vol. 52(PB), pages 913-925.
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  115. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
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  116. D. E. Allen & M. McAleer & R. J. Powell & A. K. Singh, 2016. "A capital adequacy buffer model," Applied Economics Letters, Taylor & Francis Journals, vol. 23(3), pages 175-179, February.
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  117. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2016. "Down-Side Risk Metrics as Portfolio Diversification Strategies across the Global Financial Crisis," JRFM, MDPI, vol. 9(2), pages 1-18, June.

    Cited by:

    1. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Econometric Institute Research Papers EI2016-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. S. Geissel & H. Graf & J. Herbinger & F. T. Seifried, 2022. "Portfolio optimization with optimal expected utility risk measures," Annals of Operations Research, Springer, vol. 309(1), pages 59-77, February.
    3. David E. Allen & Michael McAleer & Abhay K. Singh, 2018. "A Multi-Criteria Financial and Energy Portfolio Analysis of Hedge Fund Strategies," Documentos de Trabajo del ICAE 2018-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Haensly, Paul J., 2022. "Lessons from naïve diversification about the risk-reward trade-off," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    5. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, vol. 5(2), pages 1-33, May.
    6. Abdullah Aloqab & Farouk Alobaidi & Bassam Raweh, 2018. "Operational Risk Management in Financial Institutions: An Overview," Business and Economic Research, Macrothink Institute, vol. 8(2), pages 11-32, June.
    7. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    8. H. Fink & S. Geissel & J. Herbinger & F. T. Seifried, 2019. "Portfolio Optimization with Optimal Expected Utility Risk Measures," Working Paper Series 2019-07, University of Trier, Research Group Quantitative Finance and Risk Analysis.

  118. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2015. "Preferences of risk-averse and risk-seeking investors for oil spot and futures before, during and after the Global Financial Crisis," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 204-216.

    Cited by:

    1. Noori, Mohammad, 2024. "Stock-oil comovements through fear, uncertainty, and expectations: Evidence from conditional comoments," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 529-551.
    2. Ying Li & Yue Xia & Yang-Che Wu & Wing-Keung Wong, 2020. "The Sustainability of Energy Substitution in the Chinese Electric Power Sector," Sustainability, MDPI, vol. 12(13), pages 1-16, July.
    3. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    4. Raymond H. Chan & Xu Guo & Ephraim Clark & Wing-Keung Wong, 2020. "New Development on the Third Order Stochastic Dominance for Risk-Averse and Risk-Seeking Investors with Application in Risk Management," Economic Growth Centre Working Paper Series 2002, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    5. Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Aslam, Faheem & Hunjra, Ahmed Imran & Memon, Bilal Ahmed & Zhang, Mingda, 2024. "Interplay of multifractal dynamics between shadow policy rates and energy markets," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
    7. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    8. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    9. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Chan, Raymond H. & Clark, Ephraim & Wong, Wing-Keung, 2016. "On the Third Order Stochastic Dominance for Risk-Averse and Risk-Seeking Investors with Analysis of their Traditional and Internet Stocks," MPRA Paper 75002, University Library of Munich, Germany.
    11. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    12. Hammoudeh, Shawkat & McAleer, Michael, 2015. "Advances in financial risk management and economic policy uncertainty: An overview," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 1-7.
    13. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    14. Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.
    15. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    16. Xiao, Dongliang & Lin, Zhenjia & Chen, Haoyong & Hua, Weiqi & Yan, Jinyue, 2024. "Windfall profit-aware stochastic scheduling strategy for industrial virtual power plant with integrated risk-seeking/averse preferences," Applied Energy, Elsevier, vol. 357(C).
    17. Plakandaras, Vasilios & Gupta, Rangan & Wong, Wing-Keung, 2019. "Point and density forecasts of oil returns: The role of geopolitical risks," Resources Policy, Elsevier, vol. 62(C), pages 580-587.
    18. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Behavioural, Financial, and Health & Medical Economics: A Connection," Econometric Institute Research Papers EI2015-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Kutan, Ali M. & Shi, Yukun & Wei, Mingzhe & Zhao, Yang, 2018. "Does the introduction of index futures stabilize stock markets? Further evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 183-197.
    20. Wang, Jianli & Qiu, Shushu & Yick, Ho Yin, 2022. "The influence of the Shanghai crude oil futures on the global and domestic oil markets," Energy, Elsevier, vol. 245(C).
    21. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
    22. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    23. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    24. La Ode Saidi, 2025. "The Effects of Crude Oil Prices, Exchange Rates, and Inflation on the Level of Investment in Indonesia," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(3), pages 106-126.
    25. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    26. Wing-Keung Wong & Hooi Hooi Lean & Michael McAleer & Feng-Tse Tsai, 2018. "Why Are Warrant Markets Sustained in Taiwan but Not in China?," Sustainability, MDPI, vol. 10(10), pages 1-17, October.

  119. Chia-Lin Chang & Michael McAleer, 2015. "Bibliometric Rankings of Journals Based on the Thomson Reuters Citations Database," Journal of Reviews on Global Economics, Lifescience Global, vol. 4, pages 120-125.
    See citations under working paper version above.
  120. Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015. "Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China," Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
    See citations under working paper version above.
  121. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    See citations under working paper version above.
  122. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    See citations under working paper version above.
  123. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    See citations under working paper version above.
  124. Hammoudeh, Shawkat & McAleer, Michael, 2015. "Advances in financial risk management and economic policy uncertainty: An overview," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 1-7.
    See citations under working paper version above.
  125. Felix Chan & Michael McAleer & Marcelo C. Medeiros, 2015. "Structure and asymptotic theory for nonlinear models with GARCH erros," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 16(1), pages 1-21.
    See citations under working paper version above.
  126. Asai, Manabu & McAleer, Michael, 2015. "Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance," Journal of Econometrics, Elsevier, vol. 189(2), pages 251-262.
    See citations under working paper version above.
  127. Ling, Shiqing & McAleer, Michael & Tong, Howell, 2015. "Frontiers in Time Series and Financial Econometrics: An overview," Journal of Econometrics, Elsevier, vol. 189(2), pages 245-250.
    See citations under working paper version above.
  128. Chang, Chia-Lin & McAleer, Michael, 2015. "Econometric analysis of financial derivatives: An overview," Journal of Econometrics, Elsevier, vol. 187(2), pages 403-407.
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  129. Chia-Lin Chang & Michael Mcaleer, 2014. "Just How Good Are The Top Three Journals In Finance? An Assessment Based On Quantity And Quality Citations," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-31.
    See citations under working paper version above.
  130. Michael McAleer, 2014. "Asymmetry and Leverage in Conditional Volatility Models," Econometrics, MDPI, vol. 2(3), pages 1-6, September.
    See citations under working paper version above.
  131. Caporin, Massimiliano & McAleer, Michael, 2014. "Robust ranking of multivariate GARCH models by problem dimension," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 172-185.
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  132. Michael McAleer & Christian M. Hafner, 2014. "A One Line Derivation of EGARCH," Econometrics, MDPI, vol. 2(2), pages 1-6, June.
    See citations under working paper version above.
  133. Chang Chia-Lin & McAleer Michael, 2014. "Ranking Economics and Econometrics ISI Journals by Quality Weighted Citations," Review of Economics, De Gruyter, vol. 65(1), pages 35-52, April.
    See citations under working paper version above.
  134. Nawata, Kazumitsu & McAleer, Michael, 2014. "The maximum number of parameters for the Hausman test when the estimators are from different sets of equations," Economics Letters, Elsevier, vol. 123(3), pages 291-294.
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  135. Chang, Chia-Lin & Hsu, Hui-Kuang & McAleer, Michael, 2014. "The impact of China on stock returns and volatility in the Taiwan tourism industry," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 381-401.
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  136. Chia-Lin Chang & Michael McAleer, 2014. "How Should Journal Quality be Ranked? An Application to Agricultural, Energy, Environmental and Resource Economics," Journal of Reviews on Global Economics, Lifescience Global, vol. 3, pages 33-47.
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  137. David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," JRFM, MDPI, vol. 7(2), pages 1-30, June.
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  138. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2014. "Evaluating Macroeconomic Forecasts: A Concise Review Of Some Recent Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 195-208, April.
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  139. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "GFC-robust risk management strategies under the Basel Accord," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 97-111.
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  140. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
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  141. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know about the Dynamic Conditional Correlation Representation," Econometrics, MDPI, vol. 1(1), pages 1-12, June.
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  142. Chia-Lin Chang & Michael Mcaleer, 2013. "What Do Experts Know About Forecasting Journal Quality? A Comparison With Isi Research Impact In Finance," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 8(01), pages 1-30.
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  143. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2013. "Conditional correlations and volatility spillovers between crude oil and stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 116-138.
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  144. Michael McAleer & Juan‐Ángel Jiménez‐Martín & Teodosio Pérez‐Amaral, 2013. "International Evidence on GFC‐Robust Forecasts for Risk Management under the Basel Accord," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(3), pages 267-288, April.
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  145. Hammoudeh, Shawkat & Liu, Tengdong & Chang, Chia-Lin & McAleer, Michael, 2013. "Risk spillovers in oil-related CDS, stock and credit markets," Energy Economics, Elsevier, vol. 36(C), pages 526-535.
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  146. Chia-Lin Chang & Michael McAleer, 2013. "Ranking Leading Econometrics Journals Using Citations Data from ISI and RePEc," Econometrics, MDPI, vol. 1(3), pages 1-19, November.
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  147. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "Has the Basel Accord improved risk management during the global financial crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 250-265.
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  148. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Journal of Reviews on Global Economics, Lifescience Global, vol. 2, pages 307-329.
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  149. Casarin, Roberto & Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio, 2013. "Risk management of risk under the Basel Accord: A Bayesian approach to forecasting Value-at-Risk of VIX futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 183-204.
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  150. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & McAleer, Michael & Amaral, Teodosio Perez, 2013. "The rise and fall of S&P500 variance futures," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 151-167.
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  151. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
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  152. Chang, Chia-Lin & McAleer, Michael & Oxley, Les, 2013. "Coercive journal self citations, impact factor, Journal Influence and Article Influence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 190-197.
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  153. Chia-Lin Chang & Michael McAleer, 2013. "Ranking journal quality by harmonic mean of ranks: an application to ISI statistics & probability," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(1), pages 27-53, February.
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  154. Chang, Chia-Lin & Hsu, Hui-Kuang & McAleer, Michael, 2013. "Is small beautiful? Size effects of volatility spillovers for firm performance and exchange rates in tourism," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 519-534.
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  155. Chia-Lin Chang & Allen, David & McAleer, Michael, 2013. "Recent developments in financial economics and econometrics: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 217-226.
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  156. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
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  157. Hammoudeh, Shawkat & McAleer, Michael, 2013. "Risk management and financial derivatives: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 109-115.
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  158. Chia-Lin Chang & Sung-Po Chen & Michael McAleer, 2013. "Globalization and knowledge spillover: international direct investment, exports and patents," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(4), pages 329-352, June.
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  159. Chang, Chia-Lin & de Bruijn, Bert & Franses, Philip Hans & McAleer, Michael, 2013. "Analyzing fixed-event forecast revisions," International Journal of Forecasting, Elsevier, vol. 29(4), pages 622-627.
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  160. GUORUI BIAN & MICHAEL McALEER & WING-KEUNG WONG, 2013. "Robust Estimation And Forecasting Of The Capital Asset Pricing Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 8(02), pages 1-18.
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  161. Chang, Chia-Lin & Franses, Philip Hans & McAleer, Michael, 2013. "Are forecast updates progressive?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 9-18.
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  162. David E. Allen & Mohammad A. Ashraf & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2013. "Financial dependence analysis: applications of vine copulas," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(4), pages 403-435, November.
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  163. Kuo, Hsiao-I. & Chen, Chi-Chung & McAleer, Michael, 2012. "Estimating the impact of whaling on global whale-watching," Tourism Management, Elsevier, vol. 33(6), pages 1321-1328.
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  164. Chia-Lin Chang & Thanchanok Khamkaew & Michael McAleer, 2012. "IV Estimation of a Panel Threshold Model of Tourism Specialization and Economic Development," Tourism Economics, , vol. 18(1), pages 5-41, February.
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  165. Lan-Fen Chu & Michael McAleer & Chi-Chung Chen, 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Journal of Reviews on Global Economics, Lifescience Global, vol. 1, pages 1-12.
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  166. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2012. "Asymmetry and Long Memory in Volatility Modeling," Journal of Financial Econometrics, Oxford University Press, vol. 10(3), pages 495-512, June.
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  167. Massimiliano Caporin & Michael McAleer, 2012. "Do We Really Need Both Bekk And Dcc? A Tale Of Two Multivariate Garch Models," Journal of Economic Surveys, Wiley Blackwell, vol. 26(4), pages 736-751, September.
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  168. Ping-Yu Chen & Chia-Lin Chang & Chi-Chung Chen & Michael McAleer, 2012. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," JRFM, MDPI, vol. 5(1), pages 1-37, December.
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  169. Chia-Lin Chang & Michael Mcaleer, 2012. "Aggregation, Heterogeneous Autoregression And Volatility Of Daily International Tourist Arrivals And Exchange Rates," The Japanese Economic Review, Japanese Economic Association, vol. 63(3), pages 397-419, September.
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  170. Asai, Manabu & McAleer, Michael & Medeiros, Marcelo C., 2012. "Modelling and forecasting noisy realized volatility," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 217-230, January.
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  171. Chen, Cathy W.S. & Gerlach, Richard & Hwang, Bruce B.K. & McAleer, Michael, 2012. "Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range," International Journal of Forecasting, Elsevier, vol. 28(3), pages 557-574.
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  172. Bernardo da Veiga & Felix Chan & Michael McAleer, 2012. "It pays to violate: how effective are the Basel accord penalties in encouraging risk management?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 95-116, March.

    Cited by:

    1. Andre Guettler & Mahvish Naeem & Lars Norden & Bernardus Van Doornik, 2024. "Pre-Publication Revisions of Bank Financial Statements: a novel way to monitor banks?," Working Papers Series 590, Central Bank of Brazil, Research Department.
    2. McAleer, Michael & Jimenez-Martin, Juan-Angel & Perez-Amaral, Teodosio, 2013. "Has the Basel Accord improved risk management during the global financial crisis?," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 250-265.
    3. Prateek Sharma & Vipul _, 2015. "Forecasting stock index volatility with GARCH models: international evidence," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(4), pages 445-463, October.

  173. CHIA-LIN CHANG & MICHAEL McALEER & ROENGCHAI TANSUCHAT, 2012. "Modelling Long Memory Volatility In Agricultural Commodity Futures Returns," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1-27.
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  174. Chang, Chia-Lin & Chen, Li-Hsueh & Hammoudeh, Shawkat & McAleer, Michael, 2012. "Asymmetric adjustments in the ethanol and grains markets," Energy Economics, Elsevier, vol. 34(6), pages 1990-2002.
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  175. Sari, Ramazan & Hammoudeh, Shawkat & Chang, Chia-Lin & McAleer, Michael, 2012. "Causality between market liquidity and depth for energy and grains," Energy Economics, Elsevier, vol. 34(5), pages 1683-1692.
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  176. Chang, Chia Lin & Franses, Philip Hans & Mcaleer, Michael, 2012. "Evaluating Individual and Mean Non-Replicable Forecasts," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 22-43, September.
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  177. Chia-Lin Chang & Thanchanok Khamkaew & Roengchai Tansuchat & Michael McAleer, 2011. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," Tourism Economics, , vol. 17(3), pages 481-507, June.
    See citations under working paper version above.
  178. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "Great Expectatrics: Great Papers, Great Journals, Great Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 30(6), pages 583-619.
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  179. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
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  180. Bian, Guorui & McAleer, Michael & Wong, Wing-Keung, 2011. "A trinomial test for paired data when there are many ties," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(6), pages 1153-1160.
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  181. Michael McAleer & Marcelo C. Medeiros, 2011. "Forecasting Realized Volatility With Linear And Nonlinear Univariate Models," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 6-18, February.
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  182. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
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  183. Chang, Chia-Lin & Khamkaew, Thanchanok & McAleer, Michael & Tansuchat, Roengchai, 2011. "Modelling conditional correlations in the volatility of Asian rubber spot and futures returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1482-1490.
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  184. Chia‐Lin Chang & Michael McAleer & Les Oxley, 2011. "What Makes A Great Journal Great In Economics? The Singer Not The Song," Journal of Economic Surveys, Wiley Blackwell, vol. 25(2), pages 326-361, April.
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  185. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
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  186. Hammoudeh, Shawkat & Malik, Farooq & McAleer, Michael, 2011. "Risk management of precious metals," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 435-441.
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  187. Massimiliano Caporin & Michael McAleer, 2011. "Thresholds, news impact surfaces and dynamic asymmetric multivariate GARCH," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 65(2), pages 125-163, May.
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  188. Chang, Chia-Lin & Franses, Philip Hans & McAleer, Michael, 2011. "How accurate are government forecasts of economic fundamentals? The case of Taiwan," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1066-1075, October.
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  189. McAleer, Michael & da Veiga, Bernardo & Hoti, Suhejla, 2011. "Value-at-Risk for country risk ratings," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1454-1463.
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  190. Manabu Asai & Michael McAleer, 2011. "Alternative Asymmetric Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
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  191. Michael McAleer & Les Oxley, 2011. "Ten Things We Should Know About Time Series," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 185-188, February.
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  192. Sato, Kiyotaka & Zhang, Zhaoyong & McAleer, Michael, 2011. "Identifying shocks in regionally integrated East Asian economies with structural VAR and block exogeneity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1353-1364.
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  193. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "What makes a great journal great in the sciences? Which came first, the chicken or the egg?," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(1), pages 17-40, April.
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  194. Chia-Lin Chang & Michael McAleer & Les Oxley, 2011. "How are journal impact, prestige and article influence related? An application to neuroscience," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(11), pages 2563-2573, January.
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  195. Allen, David E. & McAleer, Michael & Scharth, Marcel, 2011. "Monte Carlo option pricing with asymmetric realized volatility dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1247-1256.

    Cited by:

    1. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.
    2. Chen, Jilong & Xu, Liao & Xu, Hao, 2022. "The impact of COVID-19 on commodity options market: Evidence from China," Economic Modelling, Elsevier, vol. 116(C).
    3. Abootaleb Shirvani & Stefan Mittnik & W. Brent Lindquist & Svetlozar T. Rachev, 2021. "Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes," Papers 2109.15051, arXiv.org, revised Aug 2023.

  196. Lean, Hooi Hooi & McAleer, Michael & Wong, Wing-Keung, 2010. "Market efficiency of oil spot and futures: A mean-variance and stochastic dominance approach," Energy Economics, Elsevier, vol. 32(5), pages 979-986, September.
    See citations under working paper version above.
  197. McAleer, Michael & Wiphatthanananthakul, Chatayan, 2010. "A simple expected volatility (SEV) index: Application to SET50 index options," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2079-2090.
    See citations under working paper version above.
  198. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    3. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    7. Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," CARF F-Series CARF-F-164, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    8. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    9. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  199. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2010. "Analyzing and forecasting volatility spillovers, asymmetries and hedging in major oil markets," Energy Economics, Elsevier, vol. 32(6), pages 1445-1455, November.
    See citations under working paper version above.
  200. Shiqing Ling & Michael McAleer, 2010. "A general asymptotic theory for time‐series models," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 64(1), pages 97-111, February.
    See citations under working paper version above.
  201. Joseph Macri & Michael McAleer & Dipendra Sinha, 2010. "On the robustness of alternative rankings methodologies: Australian and New Zealand economics departments, 1988 to 2002," Applied Economics, Taylor & Francis Journals, vol. 42(10), pages 1257-1268.
    See citations under working paper version above.
  202. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    See citations under working paper version above.
  203. Abdul Hakim & Michael McAleer, 2010. "Modelling the interactions across international stock, bond and foreign exchange markets," Applied Economics, Taylor & Francis Journals, vol. 42(7), pages 825-850.
    See citations under working paper version above.
  204. Massimiliano Caporin & Michael McAleer, 2010. "A Scientific Classification Of Volatility Models," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 192-195, February.
    See citations under working paper version above.
  205. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael & Thompson, Mark A., 2010. "Precious metals-exchange rate volatility transmissions and hedging strategies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 633-647, October.
    See citations under working paper version above.
  206. Lim, Christine & McAleer, Michael & Min, Jennifer C.H., 2009. "ARMAX modelling of international tourism demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2879-2888.

    Cited by:

    1. Tsui, Wai Hong Kan & Ozer Balli, Hatice & Gilbey, Andrew & Gow, Hamish, 2014. "Forecasting of Hong Kong airport's passenger throughput," Tourism Management, Elsevier, vol. 42(C), pages 62-76.
    2. Miaomiao Niu & Guohao Li, 2022. "The Impact of Climate Change Risks on Residential Consumption in China: Evidence from ARMAX Modeling and Granger Causality Analysis," IJERPH, MDPI, vol. 19(19), pages 1-15, September.
    3. Jennifer Min & Christine Lim & Hsien-Hung Kung, 2011. "Intervention analysis of SARS on Japanese tourism demand for Taiwan," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(1), pages 91-102, January.
    4. Chatziantoniou, Ioannis & Degiannakis, Stavros & Eeckels, Bruno & Filis, George, 2015. "Forecasting Tourist Arrivals Using Origin Country Macroeconomics," MPRA Paper 68062, University Library of Munich, Germany.
    5. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    6. Chia-Lin Chang & Michael McAleer & Christine Lim, 2010. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Working Papers in Economics 10/40, University of Canterbury, Department of Economics and Finance.
    7. Wang, Yu Shan, 2014. "Effects of budgetary constraints on international tourism expenditures," Tourism Management, Elsevier, vol. 41(C), pages 9-18.
    8. Chalermpon Jatuporn, 2022. "Impact Assessment of the COVID-19 Pandemic on Shrimp Exports in Thailand: An Empirical Study Using Time Series Analysis," Sustainability, MDPI, vol. 14(24), pages 1-12, December.
    9. Ronald Ravinesh Kumar & Peter Josef Stauvermann & Arvind Patel & Nikeel Kumar & Selvin Prasad, 2016. "Exploring the Nexus Between Tourism and Output in Cook Islands: An ARDL Bounds Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(3), pages 1085-1101, September.
    10. Peter Josef Stauvermann & Ronald Ravinesh Kumar, 2017. "Modeling economic growth with tourism for small open economies," Metroeconomica, Wiley Blackwell, vol. 68(4), pages 1001-1018, November.
    11. Pham, Tien Duc & Nghiem, Son & Dwyer, Larry, 2017. "The determinants of Chinese visitors to Australia: A dynamic demand analysis," Tourism Management, Elsevier, vol. 63(C), pages 268-276.
    12. Jatuporn, Chalermpon & Sukprasert, Patana & Tongchurec, Siros & Suvanvihok, Vasu & Thongkaew, Supat, 2020. "Forecasting Import Demand of Table Grapes: Empirical Evidence from Thailand," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 10(02), January.
    13. Wai Hong Kan Tsui & Faruk Balli, 2017. "International arrivals forecasting for Australian airports and the impact of tourism marketing expenditure," Tourism Economics, , vol. 23(2), pages 403-428, March.
    14. Zhang, Yishuo & Li, Gang & Muskat, Birgit & Vu, Huy Quan & Law, Rob, 2021. "Predictivity of tourism demand data," Annals of Tourism Research, Elsevier, vol. 89(C).

  207. Ana Bartolomé & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Modelling Air Passenger Arrivals in the Balearic and Canary Islands, Spain," Tourism Economics, , vol. 15(3), pages 481-500, September.

    Cited by:

    1. Yuruixian Zhang & Wei Chong Choo & Yuhanis Abdul Aziz & Choy Leong Yee & Cheong Kin Wan & Jen Sim Ho, 2022. "Effects of Multiple Financial News Shocks on Tourism Demand Volatility Modelling and Forecasting," JRFM, MDPI, vol. 15(7), pages 1-47, June.
    2. Lázaro Florido-Benítez, 2023. "English, German, and French Tourists Are Key to the Success of Andalusian Destinations (Spain)," Sustainability, MDPI, vol. 15(16), pages 1-22, August.

  208. Chia-Lin Chang & Michael Mcaleer, 2009. "Daily Tourist Arrivals, Exchange Rates and Voatility for Korea and Taiwan," Korean Economic Review, Korean Economic Association, vol. 25, pages 241-267.
    See citations under working paper version above.
  209. Michael McAleer & Suhejla Hoti & Felix Chan, 2009. "Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 28(5), pages 422-440.

    Cited by:

    1. Yaya, OlaOluwa & Ogbonna, Ahamuefula, 2018. "Modelling crude oil-petroleum products’ price nexus using dynamic conditional correlation GARCH models," MPRA Paper 91227, University Library of Munich, Germany.
    2. Imran Yousaf & Shoaib Ali, 2020. "Discovering interlinkages between major cryptocurrencies using high-frequency data: new evidence from COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-18, December.
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    120. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    121. Yu-Ann Wang & Chia-Lin Chang, 2024. "Portfolio selection from risk transfer mechanisms in a time of crisis for renewable energy markets," KIER Working Papers 1108, Kyoto University, Institute of Economic Research.
    122. Shegorika Rajwani & Dilip Kumar, 2016. "Asymmetric Dynamic Conditional Correlation Approach to Financial Contagion: A Study of Asian Markets," Global Business Review, International Management Institute, vol. 17(6), pages 1339-1356, December.
    123. Su, Kuangxi & Yao, Yinhong & Zheng, Chengli & Xie, Wenzhao, 2023. "A novel hybrid strategy for crude oil future hedging based on the combination of three minimum-CVaR models," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 35-50.
    124. Arfaoui, Mongi & Chkili, Walid & Ben Rejeb, Aymen, 2022. "Asymmetric and dynamic links in GCC Sukuk-stocks: Implications for portfolio management before and during the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
    125. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    126. Shahid Ali & Junrui Zhang & Mazhar Abbas & Muhammad Umar Draz & Fayyaz Ahmad, 2019. "Symmetric and Asymmetric GARCH Estimations and Portfolio Optimization: Evidence From G7 Stock Markets," SAGE Open, , vol. 9(2), pages 21582440198, May.
    127. Neenu C & T Mohamed Nishad, 2022. "Asymmetric Volatility and Leverage Effect in Stock Market: A Bibliometric Review," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 14(1), pages 21-34, June.
    128. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2019. "Volatility spillover impact of world oil prices on leading Asian energy exporting and importing economies’ stock returns," Energy, Elsevier, vol. 188(C).
    129. Lin, Boqiang & Wesseh, Presley K. & Appiah, Michael Owusu, 2014. "Oil price fluctuation, volatility spillover and the Ghanaian equity market: Implication for portfolio management and hedging effectiveness," Energy Economics, Elsevier, vol. 42(C), pages 172-182.
    130. Abdulsalam Abidemi Sikiru & Afees A. Salisu, 2023. "Hedging against risks associated with travel and tourism stocks during COVID‐19 pandemic: The role of gold," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1872-1882, April.
    131. Yarovaya, Larisa & Elsayed, Ahmed H. & Hammoudeh, Shawkat, 2021. "Determinants of Spillovers between Islamic and Conventional Financial Markets: Exploring the Safe Haven Assets during the COVID-19 Pandemic," Finance Research Letters, Elsevier, vol. 43(C).
    132. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High Frequency Impact Of Monetary Policy And Macroeconomic Surprises On Us Msas, Aggregate Us Housing Returns And Asymmetric Volatility," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 204-229, December.
    133. Haas, Markus & Liu, Ji-Chun, 2015. "Theory for a Multivariate Markov--switching GARCH Model with an Application to Stock Markets," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112855, Verein für Socialpolitik / German Economic Association.
    134. Ashfaq, Saleha & Tang, Yong & Maqbool, Rashid, 2020. "Dynamics of spillover network among oil and leading Asian oil trading countries’ stock markets," Energy, Elsevier, vol. 207(C).
    135. Walid Mansour, Haykel Hamdi, Jihed Majdoub, Ikrame Ben Slimane, 2020. "Volatility spillover and hedging effectiveness among crude oil and Islamic markets: evidence from the Gulf region," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 17(1), pages 103-126, June.
    136. Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
    137. Anupam Dutta & Md Hasib Noor, 2017. "Oil and non-energy commodity markets: An empirical analysis of volatility spillovers and hedging effectiveness," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1324555-132, January.
    138. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    139. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.

  210. Hakim, Abdul & McAleer, Michael, 2009. "Forecasting conditional correlations in stock, bond and foreign exchange markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2830-2846.

    Cited by:

    1. Pami Dua & Divya Tuteja, 2013. "Interdependence Of International Financial Market-- The Case Of India And U.S," Working papers 223, Centre for Development Economics, Delhi School of Economics.
    2. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    3. Yip, Pick Schen & Brooks, Robert & Do, Hung Xuan & Vo, Xuan Vinh, 2022. "What drives cross-market correlations during the United States Q.E.?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Johnson, Leroy & Osabuohien, Evans, 2023. "Return and Volatility Connectedness in Foreign Exchange Markets of Sierra Leone," MPRA Paper 118135, University Library of Munich, Germany.
    5. Caporin, Massimiliano & Jimenez-Martin, Juan-Angel & Gonzalez-Serrano, Lydia, 2013. "Currency hedging strategies, strategic benchmarks and the Global and Euro Sovereign financial crises," MPRA Paper 50940, University Library of Munich, Germany, revised 23 Oct 2013.

  211. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
    See citations under working paper version above.
  212. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.

    Cited by:

    1. Wang, Nanying & Houston, Jack E., 2015. "The Co-movement between Non-GM and GM Soybean Price in China: Evidence from China Futures Market," 2015 Conference, August 9-14, 2015, Milan, Italy 211914, International Association of Agricultural Economists.
    2. Lenka Rumánková & T. Maier & J. Mach & L. Čechura & Z. Křístková & M. Malý & Z. Malá & P. Hálová, 2012. "Simulations at Czech poultry market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(4), pages 327-334.
    3. Hwang, Tsorng-Chyi & Chen, Meng-Gu & Chang, Chia-Lin, 2011. "Price stabilization in the Taiwan hog and broiler industries: Evidence from a STAR approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(2), pages 213-219.
    4. Huang, Shian-Chang, 2011. "Wavelet-based multi-resolution GARCH model for financial spillover effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2529-2539.
    5. Nanying Wang & Jack E. Houston, 2016. "The Co-Movement between Non-GM and GM Soybean Prices in China: Evidence from Dalian Futures Market (2004-2014)," Applied Economics and Finance, Redfame publishing, vol. 3(4), pages 37-47, November.
    6. Wang, Nanying & Houston, Jack, 2015. "The Comovement between Non-GM and GM Soybean Price in China: Evidence from Dalian Futures Market," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196775, Southern Agricultural Economics Association.
    7. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.

  213. Giam Quang Do & Michael Mcaleer & Songsak Sriboonchitta, 2009. "Effects of international gold market on stock exchange volatility: evidence from asean emerging stock markets," Economics Bulletin, AccessEcon, vol. 29(2), pages 599-610.

    Cited by:

    1. Hatem Brik & Jihene El Ouakdi, 2024. "Interplay of Volatility and Geopolitical Tensions in Clean Energy Markets: A Comprehensive GARCH-LSTM Forecasting Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 92-107, July.
    2. Manh Ha Nguyen & Olivier Darné, 2018. "Forecasting and risk management in the Vietnam Stock Exchange," Working Papers halshs-01679456, HAL.
    3. Woraphon Yamaka & Paravee Maneejuk, 2020. "Analyzing the Causality and Dependence between Gold Shocks and Asian Emerging Stock Markets: A Smooth Transition Copula Approach," Mathematics, MDPI, vol. 8(1), pages 1-27, January.
    4. S. Maria Immanuvel & D. Lazar, 2023. "Does Information Spillover and Leverage Effect Exist in World Gold Markets?," Global Business Review, International Management Institute, vol. 24(3), pages 475-487, June.
    5. Nguyen, Cuong & Bhatti, M. Ishaq & Komorníková, Magda & Komorník, Jozef, 2016. "Gold price and stock markets nexus under mixed-copulas," Economic Modelling, Elsevier, vol. 58(C), pages 283-292.
    6. Triki, Mohamed Bilel & Ben Maatoug, Abderrazek, 2021. "The GOLD market as a safe haven against the stock market uncertainty: Evidence from geopolitical risk," Resources Policy, Elsevier, vol. 70(C).
    7. Wo-Chiang Lee & Hui-Na Lin, 2012. "Threshold effects in the relationships between USD and gold futures by panel smooth transition approach," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1065-1070, July.
    8. Viorica Chirila & Ciprian Chirila, 2013. "International Gold Market, Stock Market and Business Cycles: the Central and Eastern European Countries," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(1), pages 36-52, February.
    9. Hatice Gaye Gencer & Zafer Musoglu, 2014. "Volatility Transmission and Spillovers among Gold, Bonds and Stocks: An Empirical Evidence from Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 705-713.
    10. He, Xiaojuan & Mishra, Shekhar & Aman, Ameenullah & Shahbaz, Muhammad & Razzaq, Asif & Sharif, Arshian, 2021. "The linkage between clean energy stocks and the fluctuations in oil price and financial stress in the US and Europe? Evidence from QARDL approach," Resources Policy, Elsevier, vol. 72(C).
    11. Muhammad Aftab & Syed Zulfiqar Ali Shah & Izlin Ismail, 2019. "Does Gold Act as a Hedge or a Safe Haven against Equity and Currency in Asia?," Global Business Review, International Management Institute, vol. 20(1), pages 105-118, February.
    12. Uddin, Gazi Salah & Rahman, Md Lutfur & Hedström, Axel & Ahmed, Ali, 2019. "Cross-quantilogram-based correlation and dependence between renewable energy stock and other asset classes," Energy Economics, Elsevier, vol. 80(C), pages 743-759.
    13. R. Bedoui & R. Benkraiem & K. Guesmi & I. Kedidi, 2023. "Portfolio optimization through hybrid deep learning and genetic algorithms vine Copula-GARCH-EVT-CVaR model," Post-Print hal-04631234, HAL.
    14. Drake, Pamela Peterson, 2022. "The gold-stock market relationship during COVID-19," Finance Research Letters, Elsevier, vol. 44(C).
    15. Salisu, Afees A. & Akinsomi, Omokolade & Ametefe, Frank Kwakutse & Hammed, Yinka S., 2024. "Gold market volatility and REITs' returns during tranquil and turbulent episodes," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    16. Takashi Miyazaki & Shigeyuki Hamori, 2013. "Testing for causality between the gold return and stock market performance: evidence for ‘gold investment in case of emergency’," Applied Financial Economics, Taylor & Francis Journals, vol. 23(1), pages 27-40, January.

  214. Suhejla Hoti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2009. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 522-554.
    See citations under working paper version above.
  215. Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.

    Cited by:

    1. Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    3. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    5. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    6. Shinichiro Shirota & Yashiro Omori & Hedibert Lopes & Haixiang Piao, 2016. "Cholesky Realized Stochasti Volatility Model," Business and Economics Working Papers 224, Unidade de Negocios e Economia, Insper.
    7. Dhruv Bansal & Mayank Goud & Sourav Majumdar, 2026. "A stochastic correlation extension of the Vasicek credit risk model," Papers 2603.01109, arXiv.org, revised Mar 2026.
    8. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    9. Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
    10. Asai, Manabu & Brugal, Ivan, 2013. "Forecasting volatility via stock return, range, trading volume and spillover effects: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 202-213.
    11. H. F. Lopes & R. E. McCulloch & R. S. Tsay, 2014. "Parsimony Inducing Priors for Large Scale State-Space Models," Business and Economics Working Papers 205, Unidade de Negocios e Economia, Insper.
    12. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    13. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    14. Xin Zhang & Drew Creal & Siem Jan Koopman & Andre Lucas, 2011. "Modeling Dynamic Volatilities and Correlations under Skewness and Fat Tails," Tinbergen Institute Discussion Papers 11-078/2/DSF22, Tinbergen Institute.
    15. Paolella, Marc S. & Polak, Paweł, 2015. "COMFORT: A common market factor non-Gaussian returns model," Journal of Econometrics, Elsevier, vol. 187(2), pages 593-605.
    16. Mihnea S. Andrei & Sujit K. Ghosh & Jian Zou, 2021. "Dynamic Correlation Multivariate Stochastic Volatility Black-Litterman With Latent Factors," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(2), pages 1-1, March.
    17. Bastian Gribisch, 2016. "Multivariate Wishart stochastic volatility and changes in regime," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(4), pages 443-473, October.
    18. Yu, Jun, 2012. "A semiparametric stochastic volatility model," Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
    19. Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," Working Papers hal-04141780, HAL.
    20. Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 18-12, National Graduate Institute for Policy Studies.
    21. Asai, Manabu & McAleer, Michael, 2015. "Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance," Journal of Econometrics, Elsevier, vol. 189(2), pages 251-262.
    22. Xin Jin & John M. Maheu, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," Working Paper series 34_14, Rimini Centre for Economic Analysis.
    23. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    24. Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2016. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-1019, CIRJE, Faculty of Economics, University of Tokyo.
    25. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    26. Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin, 2021. "Macroeconomic Forecasting and Variable Ordering in Multivariate Stochastic Volatility Models," Working Papers 21-21, Federal Reserve Bank of Philadelphia.
    27. Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.
    28. BenMim, Imen & BenSaïda, Ahmed, 2019. "Financial contagion across major stock markets: A study during crisis episodes," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 187-201.
    29. Ahmed BenSaïda & Houda Litimi, 2021. "Financial contagion across G10 stock markets: A study during major crises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4798-4821, July.
    30. Manabu Asai, 2023. "Estimation of Realized Asymmetric Stochastic Volatility Models Using Kalman Filter," Econometrics, MDPI, vol. 11(3), pages 1-14, July.
    31. Hafner, C.M. & Manner, H., 2008. "Dynamic stochastic copula models: estimation, inference and applications," Research Memorandum 043, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    32. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    33. So, Mike K.P. & Yeung, Cherry Y.T., 2014. "Vine-copula GARCH model with dynamic conditional dependence," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 655-671.
    34. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    35. Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2021. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Papers 2111.07225, arXiv.org.
    36. Rajibur Reza & Gurudeo Anand Tularam & Xiyang Li & Bin Li, 2022. "Investments in the Asian water sector: an analysis based on the DCC-GARCH model," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
    37. Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
    38. Akhtaruzzaman, Md & Shamsuddin, Abul & Easton, Steve, 2014. "Dynamic correlation analysis of spill-over effects of interest rate risk and return on Australian and US financial firms," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 378-396.
    39. Hartwig, Benny, 2020. "Robust Inference in Time-Varying Structural VAR Models: The DC-Cholesky Multivariate Stochastic Volatility Model," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224528, Verein für Socialpolitik / German Economic Association.
    40. Xiao, Yuewen & Ku, Yu-Cheng & Bloomfield, Peter & Ghosh, Sujit K., 2015. "On the degrees of freedom in MCMC-based Wishart models for time series data," Statistics & Probability Letters, Elsevier, vol. 98(C), pages 59-64.
    41. Lopes, Hedibert F. & McCulloch, Robert E. & Tsay, Ruey S., 2022. "Parsimony inducing priors for large scale state–space models," Journal of Econometrics, Elsevier, vol. 230(1), pages 39-61.
    42. Fahim Afzal & Pan Haiying & Farman Afzal & Asif Mahmood & Amir Ikram, 2021. "Value-at-Risk Analysis for Measuring Stochastic Volatility of Stock Returns: Using GARCH-Based Dynamic Conditional Correlation Model," SAGE Open, , vol. 11(1), pages 21582440211, March.
    43. Ming Lin & Changjiang Liu & Linlin Niu, 2013. "Bayesian Estimation of Wishart Autoregressive Stochastic Volatility Model," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    44. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    45. Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," EconomiX Working Papers 2018-14, University of Paris Nanterre, EconomiX.
    46. Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
    47. Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019. "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS 29291, Universidad Carlos III de Madrid. Departamento de Estadística.
    48. McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
    49. Nam, Kyungsik, 2021. "Investigating the effect of climate uncertainty on global commodity markets," Energy Economics, Elsevier, vol. 96(C).
    50. Wang, Yiding & Zhao, Xiaojun & Shang, Junyan, 2025. "Dynamic risk spillover in green financial markets: A wavelet frequency analysis from China," Energy Economics, Elsevier, vol. 143(C).
    51. Han Chen & Yijie Fei & Jun Yu, 2026. "Multivariate Stochastic Volatility Model with Block Correlations," Working Papers 202638, University of Macau, Faculty of Business Administration.
    52. Roberto Casarin & Domenico sartore, 2008. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 0816, University of Brescia, Department of Economics.
    53. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    54. Michael McAleer, 2009. "The Ten Commandments For Optimizing Value‐At‐Risk And Daily Capital Charges," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 831-849, December.
    55. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.

  216. Allen, David & Lazarov, Zdravetz & McAleer, Michael & Peiris, Shelton, 2009. "Comparison of alternative ACD models via density and interval forecasts: Evidence from the Australian stock market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2535-2555.

    Cited by:

    1. Vasileios Siakoulis & Ioannis Venetis, 2015. "On inter-arrival times of bond market extreme events. An application to seven European markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 717-741, October.
    2. Caporin, Massimiliano & Preś, Juliusz, 2012. "Modelling and forecasting wind speed intensity for weather risk management," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3459-3476.
    3. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.
    4. Siakoulis, Vasilios, 2015. "Modeling bank default intensity in the USA using autoregressive duration models," MPRA Paper 64526, University Library of Munich, Germany.
    5. Ata Türkoğlu, 2016. "Normally distributed high-frequency returns: a subordination approach," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 389-409, March.
    6. Gresnigt, Francine & Kole, Erik & Franses, Philip Hans, 2015. "Interpreting financial market crashes as earthquakes: A new Early Warning System for medium term crashes," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 123-139.
    7. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.
    8. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "Estimating and simulating Weibull models of risk or price durations: An application to ACD models," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 214-225.
    9. Marcello Rambaldi & Emmanuel Bacry & Fabrizio Lillo, 2016. "The role of volume in order book dynamics: a multivariate Hawkes process analysis," Papers 1602.07663, arXiv.org.

  217. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
    See citations under working paper version above.
  218. Wong, Wing-Keung & McAleer, Michael, 2009. "Mapping the Presidential Election Cycle in US stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(11), pages 3267-3277.

    Cited by:

    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2013. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Tinbergen Institute Discussion Papers 13-036/III, Tinbergen Institute.
    2. Sojli, Elvira & Tham, Wing Wah, 2015. "Divided governments and futures prices," Journal of Econometrics, Elsevier, vol. 187(2), pages 622-633.
    3. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
    4. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    5. Pedro Antonio Martín-Cervantes & María del Carmen Valls Martínez, 2023. "Unraveling the relationship between betas and ESG scores through the Random Forests methodology," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-29, September.
    6. Alvarez-Ramirez, J. & Rodriguez, E. & Espinosa-Paredes, G., 2012. "A partisan effect in the efficiency of the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4923-4932.
    7. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
    8. Yaya, OlaOluwa S & Adekoya, Oluwasegun B. & Adesiyan, Femi, 2020. "The Persistence of Stock Market Returns during the Presidential elections in Nigeria," MPRA Paper 99390, University Library of Munich, Germany.
    9. Faridah Najuna Misman & Shashazrina Roslan & Muhammad Izzat Mat Aladin, 2020. "General Election and Stock Market Performance: A Malaysian Case," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(3), pages 139-145, June.
    10. R. Kraeussl & A. Lucas & D. Rijsbergen & P.J. van der Sluis & E. Vrugt, 2008. "Washington meets Wall Street: A Closer Examination of the Presidential Cycle Puzzle," Tinbergen Institute Discussion Papers 08-101/2, Tinbergen Institute.
    11. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
    12. Ng, Pin & Wong, Wing-Keung & Xiao, Zhijie, 2017. "Stochastic dominance via quantile regression with applications to investigate arbitrage opportunity and market efficiency," European Journal of Operational Research, Elsevier, vol. 261(2), pages 666-678.
    13. Pham, Huy Nguyen Anh & Ramiah, Vikash & Moosa, Nisreen & Huynh, Tam & Pham, Nhi, 2018. "The financial effects of Trumpism," Economic Modelling, Elsevier, vol. 74(C), pages 264-274.
    14. Luis A. Gil‐Alana & Robert Mudida & OlaOluwa S. Yaya & Kazeem A. Osuolale & Ahamuefula E. Ogbonna, 2021. "Mapping US presidential terms with S&P500 index: Time series analysis approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1938-1954, April.
    15. Harald Schmidbauer & Angi Rösch & Erhan Uluceviz & Narod Erkol, 2016. "Are American and European equity markets in phase? --- Frequency aspects of return and volatility spillovers," EcoMod2016 9559, EcoMod.
    16. Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
    17. Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2015. "Behavioural, Financial, and Health & Medical Economics: A Connection," Econometric Institute Research Papers EI2015-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Gerasimos G. Rompotis, 2018. "Political Uncertainty and the Greek Stock Market over the Period 2011-2015," Capital Markets Review, Malaysian Finance Association, vol. 26(1), pages 1-18.
    19. Keith S. K. Lam & Liang Dong & Bo Yu, 2019. "Value Premium and Technical Analysis: Evidence from the China Stock Market," Economies, MDPI, vol. 7(3), pages 1-21, September.
    20. Sharlywest Uwabor Eboigbe & Innocent Okwuosa, 2018. "Test of Linkage between Governance Style and National Economic Indices," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 226-238, January.
    21. Schmidbauer, Harald & Rösch, Angi & Uluceviz, Erhan, 2017. "Frequency aspects of information transmission in a network of three western equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 933-946.
    22. Alvarez-Ramirez, J. & Rodriguez, E. & Ibarra-Valdez, C., 2020. "Medium-term cycles in the dynamics of the Dow Jones Index for the period 1985–2019," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 546(C).
    23. Mosab I. Tabash & Musla Valappil & Uzma Iqbal & Umar Farooq & Kai-Yin Woo, 2023. "Stock market Reaction to General Election in Pakistan: An Event Study Methodology," Advances in Decision Sciences, Asia University, Taiwan, vol. 27(4), pages 90-113, December.
    24. Qadan, Mahmoud & Idilbi, Yasmeen, 2022. "Presidential honeymoons, political cycles and the commodity market," Resources Policy, Elsevier, vol. 77(C).
    25. Manfred Gärtner, 2008. "Predicting the Presidential Election Cycle in US Stock Prices: Guinea Pigs versus the Pros," University of St. Gallen Department of Economics working paper series 2008 2008-06, Department of Economics, University of St. Gallen.
    26. William T. Chittenden, 2020. "Political Parties In Power And U.S. Economic Performance," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 14(2), pages 21-36.

  219. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    See citations under working paper version above.
  220. Manabu Asai & Michael McAleer, 2009. "Multivariate stochastic volatility, leverage and news impact surfaces," Econometrics Journal, Royal Economic Society, vol. 12(2), pages 292-309, July.

    Cited by:

    1. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
    2. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Takahashi, Makoto & Omori, Yasuhiro & Watanabe, Toshiaki, 2013. "News impact curve for stochastic volatility models," Economics Letters, Elsevier, vol. 120(1), pages 130-134.
    5. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    6. Benjamin Poignard & Manabu Asaiz, 2020. "A Penalised OLS Framework for High-Dimensional Multivariate Stochastic Volatility Models," Discussion Papers in Economics and Business 20-02, Osaka University, Graduate School of Economics.
    7. Sujay Mukhoti & Pritam Ranjan, 2017. "A New Class of Discrete-time Stochastic Volatility Model with Correlated Errors," Papers 1703.06603, arXiv.org.
    8. Bollerslev, Tim & Patton, Andrew J. & Quaedvlieg, Rogier, 2020. "Multivariate leverage effects and realized semicovariance GARCH models," Journal of Econometrics, Elsevier, vol. 217(2), pages 411-430.
    9. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    10. Mustafa Hakan Eratalay, 2012. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," EUSP Department of Economics Working Paper Series 2012/04, European University at St. Petersburg, Department of Economics.
    11. Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
    12. Haroon Mumtaz & Francesco Zanetti, 2013. "The Impact of the Volatility of Monetary Policy Shocks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 535-558, June.
    13. Haroon Mumtaz & Konstantinos Theodoridis, 2012. "The international transmission of volatility shocks: an empirical analysis," Bank of England working papers 463, Bank of England.
    14. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Caldeira, João F & Moura, Guilherme Valle & Santos, André Alves Portela, 2013. "Seleção de carteiras utilizando o modelo Fama-French-Carhart," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    16. Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," Working Papers hal-04141780, HAL.
    17. Asai, Manabu & McAleer, Michael, 2015. "Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance," Journal of Econometrics, Elsevier, vol. 189(2), pages 251-262.
    18. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    19. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Shin, Minchul, 2023. "Macroeconomic forecasting and variable ordering in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1054-1086.
    20. Mark J Jensen & John M Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Papers tecipa-453, University of Toronto, Department of Economics.
    21. Anna Pajor & Justyna Wróblewska, 2022. "Forecasting performance of Bayesian VEC-MSF models for financial data in the presence of long-run relationships," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 427-448, September.
    22. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    23. Haroon Mumtaz, 2011. "Estimating the impact of the volatility of shocks: a structural VAR approach," Bank of England working papers 437, Bank of England.
    24. Trojan, Sebastian, 2014. "Multivariate Stochastic Volatility with Dynamic Cross Leverage," Economics Working Paper Series 1424, University of St. Gallen, School of Economics and Political Science.
    25. Diks, Cees & Panchenko, Valentyn & Sokolinskiy, Oleg & van Dijk, Dick, 2014. "Comparing the accuracy of multivariate density forecasts in selected regions of the copula support," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 79-94.
    26. João Caldeira & Guilherme Moura & André Santos, 2015. "Measuring Risk in Fixed Income Portfolios using Yield Curve Models," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 65-82, June.
    27. Asai, Manabu & Caporin, Massimiliano & McAleer, Michael, 2015. "Forecasting Value-at-Risk using block structure multivariate stochastic volatility models," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 40-50.
    28. Kurose, Yuta & Omori, Yasuhiro, 2020. "Multiple-block dynamic equicorrelations with realized measures, leverage and endogeneity," Econometrics and Statistics, Elsevier, vol. 13(C), pages 46-68.
    29. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2013. "Financial Risk Measurement for Financial Risk Management," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1127-1220, Elsevier.
    30. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
    31. Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-932, CIRJE, Faculty of Economics, University of Tokyo.
    32. Karmous, Aida & Boubaker, Heni & Belkacem, Lotfi, 2019. "A dynamic factor model with stylized facts to forecast volatility for an optimal portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    33. Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," EconomiX Working Papers 2018-14, University of Paris Nanterre, EconomiX.
    34. Moura, Guilherme V. & Santos, André A. P. & Ruiz Ortega, Esther, 2019. "Comparing Forecasts of Extremely Large Conditional Covariance Matrices," DES - Working Papers. Statistics and Econometrics. WS 29291, Universidad Carlos III de Madrid. Departamento de Estadística.
    35. McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
    36. Haroon Mumtaz, 2016. "The Evolving Transmission of Uncertainty Shocks in the United Kingdom," Econometrics, MDPI, vol. 4(1), pages 1-18, March.
    37. Luger, Richard, 2025. "Regularizing stock return covariance matrices via multiple testing of correlations," Journal of Econometrics, Elsevier, vol. 248(C).
    38. Mumtaz, Haroon & Surico, Paolo, 2013. "Policy Uncertainty and Aggregate Fluctuations," CEPR Discussion Papers 9694, C.E.P.R. Discussion Papers.
    39. Awijen, Haithem & Ben Zaied, Younes & Nguyen, Duc Khuong & Sensoy, Ahmet, 2020. "Endogenous Financial Uncertainty and Macroeconomic Volatility: Evidence from the United States," MPRA Paper 101276, University Library of Munich, Germany, revised Jun 2020.
    40. Yuta Kurose & Yasuhiro Omori, 2018. "Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1075, CIRJE, Faculty of Economics, University of Tokyo.
    41. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    42. Martin, Gael M. & Frazier, David T. & Maneesoonthorn, Worapree & Loaiza-Maya, Rubén & Huber, Florian & Koop, Gary & Maheu, John & Nibbering, Didier & Panagiotelis, Anastasios, 2024. "Bayesian forecasting in economics and finance: A modern review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
    43. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.
    44. Sujay K Mukhoti, "undated". "Dynamic Feedback Effect And Skewness In Non-Stationary Stochastic Volatility Model With Leverage," Working papers 145, Indian Institute of Management Kozhikode.
    45. Fu, Hsuan & Luger, Richard, 2022. "Multiple testing of the forward rate unbiasedness hypothesis across currencies," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 232-245.

  221. Qiao, Zhuo & McAleer, Michael & Wong, Wing-Keung, 2009. "Linear and nonlinear causality between changes in consumption and consumer attitudes," Economics Letters, Elsevier, vol. 102(3), pages 161-164, March.

    Cited by:

    1. Guorui Bian & Michael McAleer & Wing-Keung Wong, 2013. "Robust Estimation and Forecasting of the Capital Asset Pricing Model," Tinbergen Institute Discussion Papers 13-036/III, Tinbergen Institute.
    2. Owyong, David & Wong, Wing-Keung & Horowitz, Ira, 2015. "Cointegration and Causality among the Onshore and Offshore Markets for China's Currency," MPRA Paper 71107, University Library of Munich, Germany.
    3. Nishiyama, Yoshihiko & Hitomi, Kohtaro & Kawasaki, Yoshinori & Jeong, Kiho, 2011. "A consistent nonparametric test for nonlinear causality—Specification in time series regression," Journal of Econometrics, Elsevier, vol. 165(1), pages 112-127.
    4. Qiao, Zhuo & Chu, Patrick Kuok-Kun, 2014. "Does fine wine price contain useful information to forecast GDP? Evidence from major developed countries," Economic Modelling, Elsevier, vol. 38(C), pages 75-79.
    5. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.
    6. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    8. Zhang, Zitao & Qin, Yun, 2022. "Study on the nonlinear interactions among the international oil price, the RMB exchange rate and China's gold price," Resources Policy, Elsevier, vol. 77(C).
    9. Emrah İ. Çevik & Turhan Korkmaz & Erdal Atukeren, 2012. "Business confidence and stock returns in the USA: a time-varying Markov regime-switching model," Applied Financial Economics, Taylor & Francis Journals, vol. 22(4), pages 299-312, February.
    10. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    11. Raffaele Mattera & Michelangelo Misuraca & Maria Spano & Germana Scepi, 2023. "Mixed frequency composite indicators for measuring public sentiment in the EU," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2357-2382, June.
    12. Zhihui Lv & Amanda M. Y. Chu & Michael McAleer & Wing-Keung Wong, 2019. "Modelling Economic Growth, Carbon Emissions, and Fossil Fuel Consumption in China: Cointegration and Multivariate Causality," IJERPH, MDPI, vol. 16(21), pages 1-35, October.
    13. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Chow, Sheung Chi & Vieito, João Paulo & Wong, Wing-Keung, 2018. "Do both demand-following and supply-leading theories hold true in developing countries?," MPRA Paper 87641, University Library of Munich, Germany.
    15. GORMUS Sakir & GUNES, Sevcan, 2010. "Consumer Confidence, Stock Prices And Exchange Rates: The Case Of Turkey," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(2).
    16. Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
    17. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    18. Wenjing Xie & João Paulo Vieito & Ephraim Clark & Wing-Keung Wong, 2020. "Could Mergers Become More Sustainable? A Study of the Stock Exchange Mergers of NASDAQ and OMX," Sustainability, MDPI, vol. 12(20), pages 1-25, October.
    19. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    20. Giancarlo Bruno, 2014. "Consumer confidence and consumption forecast: a non-parametric approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 37-52, February.
    21. Nguyen Huu Hau & Tran Trung Tinh & Hoa Anh Tuong & Wing-Keung Wong, 2020. "Review of Matrix Theory with Applications in Education and Decision Sciences," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(1), pages 28-69, March.
    22. Selim Koray Demirel & Seyfettin Artan, 2017. "The Causality Relationships between Economic Confidence and Fundamental Macroeconomic Indicators: Empirical Evidence from Selected European Union Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 417-424.
    23. Sudeshna Ghosh, 2021. "Consumer Confidence and Consumer Spending in Brazil: A Nonlinear Autoregressive Distributed Lag Model Analysis," Arthaniti: Journal of Economic Theory and Practice, , vol. 20(1), pages 53-85, June.
    24. Kim-Hung Pho & Thi Diem-Chinh Ho & Tuan-Kiet Tran & Wing-Keung Wong, 2019. "Moment Generating Function, Expectation And Variance Of Ubiquitous Distributions With Applications In Decision Sciences: A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(2), pages 65-150, June.
    25. Chu, Amanda M.Y. & Lv, Zhihui & Wagner, Niklas F. & Wong, Wing-Keung, 2020. "Linear and nonlinear growth determinants: The case of Mongolia and its connection to China," Emerging Markets Review, Elsevier, vol. 43(C).
    26. Bai, Zhidong & Wong, Wing-Keung & Zhang, Bingzhi, 2010. "Multivariate linear and nonlinear causality tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(1), pages 5-17.
    27. Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
    28. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    29. Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
    30. Luca Zanin, 2010. "The relationship between changes in the Economic Sentiment Indicator and real GDP growth: a time-varying coefficient approach," Economics Bulletin, AccessEcon, vol. 30(1), pages 837-846.
    31. Bai, Zhidong & Li, Heng & Wong, Wing-Keung & Zhang, Bingzhi, 2011. "Multivariate causality tests with simulation and application," Statistics & Probability Letters, Elsevier, vol. 81(8), pages 1063-1071, August.
    32. Wang, Gang-Jin & Chen, Yan & Zhu, You & Xie, Chi, 2024. "Systemic risk prediction using machine learning: Does network connectedness help prediction?," International Review of Financial Analysis, Elsevier, vol. 93(C).
    33. Thomas C. Chiang & Zhuo Qiao & Wing-Keung Wong, 2010. "New evidence on the relation between return volatility and trading volume," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 502-515.

  222. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.

    Cited by:

    1. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.
    2. Gao, Jiti & McAleer, Michael & Allen, Dave, 2006. "Econometric modelling in finance and risk management: An overview," MPRA Paper 11978, University Library of Munich, Germany, revised Nov 2007.
    3. Xue, Jian & Ding, Jing & Zhao, Laijun & Zhu, Di & Li, Lei, 2022. "An option pricing model based on a renewable energy price index," Energy, Elsevier, vol. 239(PB).

  223. Bartolomé, Ana & McAleer, Michael & Ramos, Vicente & Rey-Maquieira, Javier, 2009. "A risk map of international tourist regions in Spain," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2741-2758.

    Cited by:

    1. Pérez-Rodríguez, Jorge V. & Ledesma-Rodríguez, Francisco & Santana-Gallego, María, 2015. "Testing dependence between GDP and tourism's growth rates," Tourism Management, Elsevier, vol. 48(C), pages 268-282.
    2. Jianxu Liu & Vicente Ramos & Bing Yang & Mengjiao Wang & Songsak Sriboonchitta, 2024. "Analysing the dynamic co-movement between tourism and expected economic growth considering extreme events," Tourism Economics, , vol. 30(1), pages 3-26, February.

  224. Hsiao-I Kuo & Chia-Lin Chang & Bing-Wen Huang & Chi-Chung Chen & Michael McAleer, 2009. "Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data," Tourism Economics, , vol. 15(3), pages 501-511, September.

    Cited by:

    1. Jose I Castillo-Manzano & Mercedes Castro-Nuño & Lourdes Lopez-Valpuesta & à lvaro Zarzoso, 2021. "Quality versus quantity: An assessment of the impact of Michelin-starred restaurants on tourism in Spain," Tourism Economics, , vol. 27(5), pages 1166-1174, August.
    2. In Kyung Kim, 2021. "The impact of social distancing on box-office revenue: Evidence from the COVID-19 pandemic," Quantitative Marketing and Economics (QME), Springer, vol. 19(1), pages 93-125, March.
    3. J. James Reade & Carl Singleton, 2020. "Demand for Public Events in the COVID-19 Pandemic: A Case Study of European Football," Economics Discussion Papers em-dp2020-09, Department of Economics, University of Reading, revised 01 Oct 2020.
    4. Chang, C-L. & Khamkaew, T. & McAleer, M.J., 2010. "Estimating Price Effects in an Almost Ideal Demand Model of Outbound Thai Tourism to East Asia," Econometric Institute Research Papers EI 2010-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Pham, Tien Duc & Dwyer, Larry & Su, Jen-Je & Ngo, Tramy, 2021. "COVID-19 impacts of inbound tourism on Australian economy," Annals of Tourism Research, Elsevier, vol. 88(C).
    6. Bilal & Adeel Nasir & Umar Farooq & Muhammad Farhan Bashir, 2024. "Stock returns, government response strategies, and daily new case bursts during COVID‐19: A cross‐country perspective," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 465-485, January.
    7. Peng Yang & Haiyan Song & Long Wen & Han Liu, 2024. "Modeling and forecasting listed tourism firms’ risk in China using a trend asymmetric GARCH-MIDAS model," Tourism Economics, , vol. 30(6), pages 1404-1422, September.
    8. Okuyama, Tadahiro, 2018. "Analysis of optimal timing of tourism demand recovery policies from natural disaster using the contingent behavior method," Tourism Management, Elsevier, vol. 64(C), pages 37-54.
    9. Gian Maria Campedelli & Alberto Aziani & Serena Favarin, 2020. "Exploring the Effects of COVID-19 Containment Policies on Crime: An Empirical Analysis of the Short-term Aftermath in Los Angeles," Papers 2003.11021, arXiv.org, revised Oct 2020.
    10. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Documentos de Trabajo del ICAE 2012-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Chih-Hai Yang & Hsun-Yu Lin, 2014. "Revisiting the Relationship between World Heritage Sites and Tourism," Tourism Economics, , vol. 20(1), pages 73-86, February.
    12. Yap, Ghialy & Allen, David, 2011. "Investigating other leading indicators influencing Australian domestic tourism demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1365-1374.
    13. João-Pedro Ferreira & Christa D. Court & Estefania Basurto-Cedeño & Lori Pennington-Gray, 2024. "Using the 2016 Zika outbreak to estimate the potential tourism impacts of a Chikungunya event in Florida," Tourism Economics, , vol. 30(4), pages 1062-1080, June.
    14. Marija Bratić & Aleksandar Radivojević & Nenad Stojiljković & Olivera Simović & Emil Juvan & Miha Lesjak & Eva Podovšovnik, 2021. "Should I Stay or Should I Go? Tourists’ COVID-19 Risk Perception and Vacation Behavior Shift," Sustainability, MDPI, vol. 13(6), pages 1-19, March.
    15. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Sivaprasad, Sheeja, 2021. "The impact of Covid-19 on G7 stock markets volatility: Evidence from a ST-HAR model," International Review of Financial Analysis, Elsevier, vol. 74(C).
    16. Martin Falk & Eva Hagsten & Xiang Lin, 2023. "Uneven domestic tourism demand in times of pandemic," Tourism Economics, , vol. 29(3), pages 596-611, May.
    17. Neelu Seetaram & Sylvain Petit, 2012. "Panel data analysis in Tourism Research," Post-Print hal-01831529, HAL.
    18. Han Liu & Ying Liu & Yonglian Wang, 2021. "Exploring the influence of economic policy uncertainty on the relationship between tourism and economic growth with an MF-VAR model," Tourism Economics, , vol. 27(5), pages 1081-1100, August.
    19. Bao-Linh Tran & Chi-Chung Chen & Wei-Chun Tseng & Shu-Yi Liao, 2020. "Tourism under the Early Phase of COVID-19 in Four APEC Economies: An Estimation with Special Focus on SARS Experiences," IJERPH, MDPI, vol. 17(20), pages 1-13, October.
    20. Ali Asgary & Ali Ihsan Ozdemir, 2020. "Global risks and tourism industry in Turkey," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1513-1536, December.
    21. Junxiong Li & Alan G. Hallsworth & J. Andres Coca‐Stefaniak, 2020. "Changing Grocery Shopping Behaviours Among Chinese Consumers At The Outset Of The COVID‐19 Outbreak," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(3), pages 574-583, July.
    22. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    23. Zhang, Ke & Hou, Yuansi & Li, Gang, 2020. "Threat of infectious disease during an outbreak: Influence on tourists' emotional responses to disadvantaged price inequality," Annals of Tourism Research, Elsevier, vol. 84(C).
    24. Martín Cicowiez & Natalia Porto & Manuela Cerimelo, 2024. "Short- and long-term effects of domestic tourism promotion in Argentina after COVID-19," Tourism Economics, , vol. 30(7), pages 1880-1899, November.

  225. Michael McAleer, 2009. "The Ten Commandments For Optimizing Value‐At‐Risk And Daily Capital Charges," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 831-849, December.
    See citations under working paper version above.
  226. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.

    Cited by:

    1. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Crude Oil Hedging Strategies Using Dynamic Multivariate GARCH," Econometric Institute Research Papers EI 2010-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    3. Boldanov, Rustam & Degiannakis, Stavros & Filis, George, 2017. "Time-varying correlation between oil and stock market volatilities: Evidence from oil-importing and oil-exporting countries," MPRA Paper 80435, University Library of Munich, Germany.
    4. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    5. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    6. Massimiliano Caporin & Juan Ángel Jiménez Martín & Lydia González-Serrano, 2013. "Currency hedging strategies, strategic benchmarks and the Global and Euro Sovereign financial crises," Documentos de Trabajo del ICAE 2013-36, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Michael McAleer, 2014. "Discussion of “Principal Volatility Component Analysis” by Yu-Pin Hu and Ruey Tsay," Documentos de Trabajo del ICAE 2014-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Haoyuan Wang & Chen Liu & Minh-Ngoc Tran & Chao Wang, 2025. "Deep Learning Enhanced Multivariate GARCH," Papers 2506.02796, arXiv.org.
    10. Broadstock, David C. & Cao, Hong & Zhang, Dayong, 2012. "Oil shocks and their impact on energy related stocks in China," Energy Economics, Elsevier, vol. 34(6), pages 1888-1895.
    11. G.K., Chetan Kumar & K.B., Rangappa & S., Suchitra, 2022. "Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model," MPRA Paper 114027, University Library of Munich, Germany.
    12. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Exchange Rate and Industrial Commodity Volatility Transmissions and Hedging Strategies," CIRJE F-Series CIRJE-F-668, CIRJE, Faculty of Economics, University of Tokyo.
    13. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2017. "Volatility spillover and multivariate volatility impulse response analysis of GFC news events," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3246-3262, July.
    15. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    16. Lv, Xin & Lien, Donald & Yu, Chang, 2020. "Who affects who? Oil price against the stock return of oil-related companies: Evidence from the U.S. and China," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 85-100.
    17. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2012. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," KIER Working Papers 839, Kyoto University, Institute of Economic Research.
    18. Bouoiyour, Jamal & Selmi, Refk, 2013. "Commodity Price Uncertainty and Manufactured Exports in Morocco and Tunisia: Some Insights from a Novel GARCH Model," MPRA Paper 53412, University Library of Munich, Germany, revised Nov 2013.
    19. Trancoso, Tiago, 2014. "Emerging markets in the global economic network: Real(ly) decoupling?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 499-510.
    20. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Tiago Trancoso, 2013. "Global macroeconomic interdependence: a minimum spanning tree approach," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 5(1), pages 179-189, June.
    22. Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
    23. Massimiliano Caporin & Michael McAleer, 2010. "Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models," CIRJE F-Series CIRJE-F-713, CIRJE, Faculty of Economics, University of Tokyo.
    24. Massimiliano Caporin & Michael McAleer, 2009. "A Scientific Classification of Volatility Models," Documentos de Trabajo del ICAE 2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    25. Broadstock, David C. & Filis, George, 2014. "Oil price shocks and stock market returns: New evidence from the United States and China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 417-433.
    26. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    27. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Alexandridis, G. & Sahoo, S. & Visvikis, I., 2017. "Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 82-104.
    29. H. J. Turtle & Kainan Wang, 2014. "Modeling Conditional Covariances With Economic Information Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(2), pages 217-236, April.
    30. Domingo Rodríguez Benavides & Ignacio Perrotini Hernández, 2019. "Las correlaciones dinámicas de contagio financiero:Estados Unidos y América Latina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 151-168, Abril-Jun.
    31. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    32. Chang, Chia-Lin & McAleer, Michael & Wang, Yanghuiting, 2018. "Testing Co-Volatility spillovers for natural gas spot, futures and ETF spot using dynamic conditional covariances," Energy, Elsevier, vol. 151(C), pages 984-997.
    33. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    34. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    35. G.K. Chetan Kumar & K.B. Rangappa & S. Suchitra, 2022. "Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 151-164, Summer.
    36. Tsouknidis, Dimitris A., 2016. "Dynamic volatility spillovers across shipping freight markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 90-111.
    37. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, vol. 5(2), pages 1-33, May.
    38. Caporin, Massimiliano, 2013. "Equity and CDS sector indices: Dynamic models and risk hedging," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 261-275.
    39. Gian Piero Aielli & Massimiliano Caporin, 2015. "Dynamic Principal Components: a New Class of Multivariate GARCH Models," "Marco Fanno" Working Papers 0193, Dipartimento di Scienze Economiche "Marco Fanno".
    40. Zhang, Wenting & He, Xie & Hamori, Shigeyuki, 2022. "Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach," International Review of Financial Analysis, Elsevier, vol. 83(C).
    41. Massimiliano Caporin & Daniele Girolimetto & Emanuele Lopetuso, 2026. "Multivariate GARCH and portfolio variance prediction: A forecast reconciliation perspective," Papers 2603.17463, arXiv.org, revised Apr 2026.
    42. Adams, Zeno & Füss, Roland & Glück, Thorsten, 2017. "Are correlations constant? Empirical and theoretical results on popular correlation models in finance," Journal of Banking & Finance, Elsevier, vol. 84(C), pages 9-24.
    43. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    44. Filippidis, Michail & Filis, George & Kizys, Renatas, 2020. "Oil price shocks and EMU sovereign yield spreads," Energy Economics, Elsevier, vol. 86(C).
    45. Weiping Li & Wenwen Liu, 2021. "Investor sentiment‐styled index in index futures market," Review of Financial Economics, John Wiley & Sons, vol. 39(1), pages 51-72, January.
    46. Jessica Leutert, 2018. "The Swiss franc safety premium," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-21, December.

  227. Esfandiar Maasoumi & Michael McAleer, 2008. "Realized Volatility and Long Memory: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 1-9.

    Cited by:

    1. Pawel Janus & Siem Jan Koopman & André Lucas, 2011. "Long Memory Dynamics for Multivariate Dependence under Heavy Tails," Tinbergen Institute Discussion Papers 11-175/2/DSF28, Tinbergen Institute.
    2. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
    3. Athanasios Tsagkanos & Konstantinos Gkillas & Christoforos Konstantatos & Christos Floros, 2021. "Does Trading Volume Drive Systemic Banks’ Stock Return Volatility? Lessons from the Greek Banking System," IJFS, MDPI, vol. 9(2), pages 1-13, April.
    4. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.
    5. Laurini, Márcio Poletti & Hotta, Luiz Koodi, 2013. "Indirect Inference in fractional short-term interest rate diffusions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 109-126.
    6. Yan Yan & Zhewen Liao & Xiaosong Chen, 2018. "Fixed-income securities: bibliometric review with network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1615-1640, September.
    7. Uwe Hassler & Marc-Oliver Pohle, 2019. "Forecasting under Long Memory and Nonstationarity," Papers 1910.08202, arXiv.org.
    8. Moawia Alghalith & Christos Floros & Konstantinos Gkillas, 2020. "Estimating Stochastic Volatility under the Assumption of Stochastic Volatility of Volatility," Risks, MDPI, vol. 8(2), pages 1-15, April.
    9. Patton, Andrew J., 2011. "Data-based ranking of realised volatility estimators," Journal of Econometrics, Elsevier, vol. 161(2), pages 284-303, April.
    10. Alexandra Chronopoulou & Frederi Viens, 2012. "Estimation and pricing under long-memory stochastic volatility," Annals of Finance, Springer, vol. 8(2), pages 379-403, May.
    11. Tseng-Chan Tseng & Hung-Cheng Lai & Cha-Fei Lin, 2012. "The impact of overnight returns on realized volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 22(5), pages 357-364, March.

  228. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Evaluating the impact of market reforms on Value-at-Risk forecasts of Chinese A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(4), pages 453-475, September.

    Cited by:

    1. He, Hongbo & Chen, Shou & Yao, Shujie & Ou, Jinghua, 2014. "Financial liberalisation and international market interdependence: Evidence from China’s stock market in the post-WTO accession period," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 434-444.
    2. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Christos Agiakloglou & Charalampos Agiropoulos, 2011. "The sensitivity of Value-at-Risk estimates using Monte Carlo approach," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 61(1-2), pages 7-12, January -.
    4. Chia-Chi Sun, 2021. "An Assessment Model for Wealth Management Banks Based on the Fuzzy Evaluation Method," Mathematics, MDPI, vol. 9(19), pages 1-16, October.

  229. Michael McAleer & Marcelo Medeiros, 2008. "Realized Volatility: A Review," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 10-45.
    See citations under working paper version above.
  230. Allen, David & Chan, Felix & McAleer, Michael & Peiris, Shelton, 2008. "Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks," Journal of Econometrics, Elsevier, vol. 147(1), pages 163-185, November.

    Cited by:

    1. Giuseppe Cavaliere & Thomas Mikosch & Anders Rahbek & Frederik Vilandt, 2022. "The Econometrics of Financial Duration Modeling," Papers 2208.02098, arXiv.org, revised Dec 2022.
    2. Bhatti, Chad R., 2009. "On the interday homogeneity in the intraday rate of trading," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2250-2257.
    3. Perera, Indeewara & Silvapulle, Mervyn J., 2021. "Bootstrap based probability forecasting in multiplicative error models," Journal of Econometrics, Elsevier, vol. 221(1), pages 1-24.
    4. Bhatti, Chad R., 2009. "Intraday trade and quote dynamics: A Cox regression analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2240-2249.
    5. Francq, Christian & Wintenberger, Olivier & Zakoïan, Jean-Michel, 2013. "GARCH models without positivity constraints: Exponential or log GARCH?," Journal of Econometrics, Elsevier, vol. 177(1), pages 34-46.
    6. Zhang, Yaohua & Zou, Jian & Ravishanker, Nalini & Thavaneswaran, Aerambamoorthy, 2019. "Modeling financial durations using penalized estimating functions," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 145-158.
    7. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    8. Vasileios Siakoulis & Ioannis Venetis, 2015. "On inter-arrival times of bond market extreme events. An application to seven European markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 717-741, October.
    9. Yiing Fei Tan & Kok Haur Ng & You Beng Koh & Shelton Peiris, 2022. "Modelling Trade Durations Using Dynamic Logarithmic Component ACD Model with Extended Generalised Inverse Gaussian Distribution," Mathematics, MDPI, vol. 10(10), pages 1-20, May.
    10. Maurice Peat, 2009. "Market Data Resources for Researchers: The SIRCA Data Repository," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(4), pages 490-495, December.
    11. Nguyen, Giang & Engle, Robert & Fleming, Michael & Ghysels, Eric, 2020. "Liquidity and volatility in the U.S. Treasury market," Journal of Econometrics, Elsevier, vol. 217(2), pages 207-229.
    12. Hautsch, Nikolaus & Malec, Peter & Schienle, Melanie, 2010. "Capturing the zero: A new class of zero-augmented distributions and multiplicative error processes," CFS Working Paper Series 2010/19, Center for Financial Studies (CFS).
    13. Perera, Indeewara & Koul, Hira L., 2017. "Fitting a two phase threshold multiplicative error model," Journal of Econometrics, Elsevier, vol. 197(2), pages 348-367.
    14. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
    15. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.
    16. Patrick W. Saart & Jiti Gao & David E. Allen, 2015. "Semiparametric Autoregressive Conditional Duration Model: Theory and Practice," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 849-881, December.
    17. Cavaliere, Giuseppe & Mikosch, Thomas & Rahbek, Anders & Vilandt, Frederik, 2024. "Tail behavior of ACD models and consequences for likelihood-based estimation," Journal of Econometrics, Elsevier, vol. 238(2).
    18. Siakoulis, Vasilios, 2015. "Modeling bank default intensity in the USA using autoregressive duration models," MPRA Paper 64526, University Library of Munich, Germany.
    19. Roman Huptas, 2014. "Bayesian Estimation and Prediction for ACD Models in the Analysis of Trade Durations from the Polish Stock Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(4), pages 237-273, December.
    20. Kazuhiko Hayakawa & M. Hashem Pesaran & L. Vanessa Smith, 2023. "Short T dynamic panel data models with individual, time and interactive effects," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 940-967, September.
    21. Bhatti, Chad R., 2010. "The Birnbaum–Saunders autoregressive conditional duration model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2062-2078.
    22. Danúbia R. Cunha & Roberto Vila & Helton Saulo & Rodrigo N. Fernandez, 2020. "A General Family of Autoregressive Conditional Duration Models Applied to High-Frequency Financial Data," JRFM, MDPI, vol. 13(3), pages 1-20, March.
    23. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "Estimating and simulating Weibull models of risk or price durations: An application to ACD models," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 214-225.
    24. Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
    25. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    26. Ariful Hoque & Felix Chan & Meher Manzur, 2009. "Modeling Volatility in Foreign Currency Option Pricing," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 189-208, September.
    27. Aerambamoorthy Thavaneswaran & Nalini Ravishanker & You Liang, 2015. "Generalized duration models and optimal estimation using estimating functions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(1), pages 129-156, February.
    28. Wanbo Lu & Rui Ke, 2019. "A generalized least squares estimation method for the autoregressive conditional duration model," Statistical Papers, Springer, vol. 60(1), pages 123-146, February.
    29. Kul B. Luintel & Yongdeng Xu, 2017. "Testing weak exogeneity in multiplicative error models," Quantitative Finance, Taylor & Francis Journals, vol. 17(10), pages 1617-1630, October.
    30. Roman Huptas, 2016. "The UHF-GARCH-Type Model in the Analysis of Intraday Volatility and Price Durations – the Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 1-20, March.
    31. Min-Hsien Chiang & Ray Yeutien Chou & Li-Min Wang, 2016. "Outlier Detection in the Lognormal Logarithmic Conditional Autoregressive Range Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 126-144, February.

  231. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chia-Lin Chang & Michael McAleer & Christine Lim, 2011. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Documentos de Trabajo del ICAE 2011-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Rochelle Steven & J Guy Castley & Ralf Buckley, 2013. "Tourism Revenue as a Conservation Tool for Threatened Birds in Protected Areas," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-8, May.
    4. Jorge V Pérez-Rodríguez & Juan M Hernández & Julián Andrada-Félix, 2024. "Modelling prices and volatilities in the sharing economy," Tourism Economics, , vol. 30(5), pages 1189-1215, August.
    5. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    6. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    7. Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
    8. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    9. Apostolos Ampountolas, 2021. "Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models," Forecasting, MDPI, vol. 3(3), pages 1-16, August.
    10. Zhou, Bo & Zhang, Ying & Zhou, Peng, 2021. "Multilateral political effects on outbound tourism," Annals of Tourism Research, Elsevier, vol. 88(C).
    11. Chia-Lin Chang & Michael McAleer & Dan Slottje, 2009. "Modelling International Tourist Arrivals and Volatility: An Application to Taiwan," Documentos de Trabajo del ICAE 2009-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    12. Chang, C-L. & Hsu, S.-H. & McAleer, M.J., 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Econometric Institute Research Papers 18-031/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    14. Jorge V Pérez-Rodríguez & María Santana-Gallego, 2020. "Modelling tourism receipts and associated risks, using long-range dependence models," Tourism Economics, , vol. 26(1), pages 70-96, February.
    15. Bo Zhou & Zhihong Wen & Ian Sutherland & Seul Ki Lee, 2022. "The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China," Tourism Economics, , vol. 28(2), pages 300-324, March.

  232. Gao, Jiti & McAleer, Michael & Allen, David E., 2008. "Econometric modelling in finance and risk management: An overview," Journal of Econometrics, Elsevier, vol. 147(1), pages 1-4, November.
    See citations under working paper version above.
  233. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.

    Cited by:

    1. Yen-Hsien Lee, 2013. "The Predictability of the Socially Responsible Investment Index: A New TMDCC Approach," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(1), pages 027-034, June.

  234. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    2. Weber, Enzo & Zhang, Yanqun, 2012. "Common influences, spillover and integration in Chinese stock markets," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 382-394.
    3. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Lin, Wen-Yuan & Tsai, I-Chun, 2019. "Trader differences in Shanghai’s A-share and B-share markets: Effects on interaction with the Shanghai housing market," Journal of Asian Economics, Elsevier, vol. 64(C), pages 1-1.

  235. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.

    Cited by:

    1. Michael McAleer & Bernardo da Veiga & Suhejla Hoti, 2009. "Value-at-Risk for Country Risk Ratings," CARF F-Series CARF-F-169, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    2. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Hammoudeh, S.M. & Malik, F. & McAleer, M.J., 2010. "Risk management of precious metals," Econometric Institute Research Papers EI 2010-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    6. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    7. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    10. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    11. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    12. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    13. Raphael Amaro & Carlos Pinho, 2022. "Energy commodities: A study on model selection for estimating Value-at-Risk," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 5-27.
    14. Eden Gross & Ryan Kruger & Francois Toerien, 2025. "Standard and stressed value at risk forecasting using dynamic Bayesian networks," Papers 2512.05661, arXiv.org.
    15. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Evaluating the impact of market reforms on Value-at-Risk forecasts of Chinese A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(4), pages 453-475, September.
    16. Sarafrazi, Soodabeh & Hammoudeh, Shawkat & AraújoSantos, Paulo, 2014. "Downside risk, portfolio diversification and the financial crisis in the euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 368-396.
    17. Krzysztof Echaust & Małgorzata Just, 2020. "Value at Risk Estimation Using the GARCH-EVT Approach with Optimal Tail Selection," Mathematics, MDPI, vol. 8(1), pages 1-24, January.
    18. Anjum, Hassan & Malik, Farooq, 2020. "Forecasting risk in the US Dollar exchange rate under volatility shifts," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    19. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    20. Eraslan, Sercan & Ali, Faek Menla, 2017. "Financial crises and the dynamic linkages between stock and bond returns," Discussion Papers 17/2017, Deutsche Bundesbank.
    21. Santos, André A. P. & Nogales, Francisco J. & Ruiz Ortega, Esther, 2009. "Comparing univariate and multivariate models to forecast portfolio value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws097222, Universidad Carlos III de Madrid. Departamento de Estadística.
    22. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Chen, Cathy W.S. & Gerlach, Richard & Hwang, Bruce B.K. & McAleer, Michael, 2012. "Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range," International Journal of Forecasting, Elsevier, vol. 28(3), pages 557-574.
    24. Amira Akl Ahmed & Doaa Akl Ahmed, 2016. "Modelling Conditional Volatility and Downside Risk for Istanbul Stock Exchange," Working Papers 1028, Economic Research Forum, revised Jul 2016.
    25. Katerina Rigana & Ernst C. Wit & Samantha Cook, 2024. "Navigating Market Turbulence: Insights from Causal Network Contagion Value at Risk," Papers 2402.06032, arXiv.org.
    26. Halbleib, Roxana & Pohlmeier, Winfried, 2012. "Improving the value at risk forecasts: Theory and evidence from the financial crisis," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1212-1228.
    27. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," Econometric Institute Research Papers EI 2009-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Degiannakis, Stavros & Kiohos, Apostolos, 2014. "Multivariate modelling of 10-day-ahead VaR and dynamic correlation for worldwide real estate and stock indices," MPRA Paper 80438, University Library of Munich, Germany.
    29. Conrad, Christian & Weber, Enzo, 2013. "Measuring Persistence in Volatility Spillovers," Working Papers 0543, University of Heidelberg, Department of Economics.
    30. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Cathy W. S. Chen & Mike K. P. So & Edward M. H. Lin, 2009. "Volatility forecasting with double Markov switching GARCH models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 681-697.
    32. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    33. Hood, Matthew & Malik, Farooq, 2018. "Estimating downside risk in stock returns under structural breaks," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 102-112.
    34. M. Angeles Carnero Fernández & M. Hakan Eratalay, 2012. "Estimating VAR-MGARCH models in multiple steps," Working Papers. Serie AD 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    35. Maziar Sahamkhadam & Andreas Stephan, 2019. "Portfolio optimization based on forecasting models using vine copulas: An empirical assessment for the financial crisis," Papers 1912.10328, arXiv.org.
    36. Hakim, Abdul & McAleer, Michael, 2009. "Forecasting conditional correlations in stock, bond and foreign exchange markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2830-2846.
    37. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Pérez-Amaral, 0000. "Has the Basel II Accord Encouraged Risk Management during the 2008-09 Financial Crisis?," Tinbergen Institute Discussion Papers 09-039/4, Tinbergen Institute.
    38. Liu, Tengdong & Hammoudeh, Shawkat & Santos, Paulo Araújo, 2014. "Downside risk and portfolio diversification in the euro-zone equity markets with special consideration of the crisis period," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 47-68.
    39. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
    40. Krzysztof Echaust & Małgorzata Just, 2021. "Tail Dependence between Crude Oil Volatility Index and WTI Oil Price Movements during the COVID-19 Pandemic," Energies, MDPI, vol. 14(14), pages 1-21, July.
    41. Metiu, Norbert, 2012. "Sovereign risk contagion in the Eurozone," Economics Letters, Elsevier, vol. 117(1), pages 35-38.
    42. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    43. Svetlana Mira & Nicholas Taylor, 2013. "An International Perspective on Risk Management Quality," European Financial Management, European Financial Management Association, vol. 19(5), pages 935-955, November.
    44. Liu, Xiaochun & Luger, Richard, 2015. "Unfolded GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 186-217.

  236. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.

    Cited by:

    1. Ruitao Gu & Qiaoyun Zhang & Wei Zhou & Jianxu Liu, 2022. "Judging the True Health of Finance Institutions Based on Risk Behavior and Operation Performance," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-21, November.
    2. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    4. Jochen Krause & Marc S. Paolella, 2014. "A Fast, Accurate Method for Value-at-Risk and Expected Shortfall," Econometrics, MDPI, vol. 2(2), pages 1-25, June.
    5. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2013. "Forecasting VaR using analytic higher moments for GARCH processes," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 36-45.
    6. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    7. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.

  237. McAleer, Michael & Chan, Felix & Hoti, Suhejla & Lieberman, Offer, 2008. "Generalized Autoregressive Conditional Correlation," Econometric Theory, Cambridge University Press, vol. 24(6), pages 1554-1583, December.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    2. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chia-Lin Chang & Michael McAleer, 2017. "The Fiction of Full BEKK," Documentos de Trabajo del ICAE 2017-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    5. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Tinbergen Institute Discussion Papers 17-051/III, Tinbergen Institute.
    6. Asai, Manabu & Gupta, Rangan & McAleer, Michael, 2020. "Forecasting volatility and co-volatility of crude oil and gold futures: Effects of leverage, jumps, spillovers, and geopolitical risks," International Journal of Forecasting, Elsevier, vol. 36(3), pages 933-948.
    7. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    8. Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
    9. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    10. Chia-Lin Chang & Michael McAleer, 2016. "A Simple Test for Causality in Volatility," Tinbergen Institute Discussion Papers 16-094/III, Tinbergen Institute.
    11. Massimiliano Caporin & Chia-Lin Chang & Michael McAleer, 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures Related for Intra-Day Data?," Documentos de Trabajo del ICAE 2016-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    12. Jilber Urbina & Miguel Santolino & Montserrat Guillen, 2021. "Covariance Principle for Capital Allocation: A Time-Varying Approach," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
    13. Colacito, Riccardo & Engle, Robert F. & Ghysels, Eric, 2011. "A component model for dynamic correlations," Journal of Econometrics, Elsevier, vol. 164(1), pages 45-59, September.
    14. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    15. Amine Lahiani & Khaled Guesmi, 2014. "Commodity Price Correlation and Time varying Hedge Ratios," Working Papers 2014-142, Department of Research, Ipag Business School.
    16. McAleer, M.J., 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Dynamic Conditional Correlation (DCC) Model," Econometric Institute Research Papers EI2019-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Haoyuan Wang & Chen Liu & Minh-Ngoc Tran & Chao Wang, 2025. "Deep Learning Enhanced Multivariate GARCH," Papers 2506.02796, arXiv.org.
    18. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
    19. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.
    20. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    21. McAleer, M.J., 2017. "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers TI 2017-082/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. Green, Rikard & Larsson, Karl & Lunina, Veronika & Nilsson, Birger, 2016. "Cross-Commodity News Transmission and Volatility Spillovers in the German Energy Markets," Working Papers 2016:2, Lund University, Department of Economics, revised 11 Oct 2017.
    23. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    24. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2011. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," Documentos de Trabajo del ICAE 2011-34, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    25. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.
    26. Yip, Iris W.H. & So, Mike K.P., 2009. "Simplified specifications of a multivariate generalized autoregressive conditional heteroscedasticity model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(2), pages 327-340.
    27. Manabu Asai & Chia-Lin Chang & Michael McAleer & Laurent Pauwels, 2021. "Asymptotic and Finite Sample Properties for Multivariate Rotated GARCH Models," Econometrics, MDPI, vol. 9(2), pages 1-21, May.
    28. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About DCC," Documentos de Trabajo del ICAE 2013-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    29. Christian M. Hafner & Michael McAleer, 2014. "A One Line Derivation of DCC: Application of a Vector Random Coefficient Moving Average Process," Documentos de Trabajo del ICAE 2014-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    30. Kudbeddin Şeker & Ethem Kiliç, 2026. "Bitcoin, U.S. stock markets, and volatility: the interaction of digital assets with traditional markets," Digital Finance, Springer, vol. 8(1), pages 1-25, March.
    31. Chia-Lin Chang & Michael McAleer & Chien-Hsun Wang, 2017. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," IJFS, MDPI, vol. 6(1), pages 1-24, December.
    32. Yuchang Lin & Qianqian Zhu, 2024. "On vector linear double autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 45(3), pages 376-397, May.
    33. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    34. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    35. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    36. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    37. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    38. Morana, Claudio, 2019. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Econometrics and Statistics, Elsevier, vol. 12(C), pages 42-65.
    39. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    40. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    41. Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
    42. Massimiliano Caporin & Michael McAleer, 2010. "Do We Really Need Both BEKK and DCC? A Tale of Two Multivariate GARCH Models," CIRJE F-Series CIRJE-F-713, CIRJE, Faculty of Economics, University of Tokyo.
    43. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    44. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's Major Trading Partners across the GFC," Tinbergen Institute Discussion Papers 14-106/III, Tinbergen Institute.
    45. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    46. Michael McAleer, 2019. "What They Did Not Tell You About Algebraic (Non-)Existence, Mathematical (IR-)Regularity and (Non-)Asymptotic Properties of the Full BEKK Dynamic Conditional Covariance Model," Documentos de Trabajo del ICAE 2019-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    47. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    48. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    49. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    50. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    51. Chikumbi, Lydia & Muchapondwa, Edwin & Thiam, Djiby, 2020. "Volatility Linkages between Energy and Wine Prices in South Africa," EfD Discussion Paper 20-7, Environment for Development, University of Gothenburg.
    52. Ahmad Aghapour & Hamid Arian & Marcos Escobar-Anel & Luis Seco, 2025. "Conditional Correlation via Generalized Random Forests with Application to Hedge Funds," SN Operations Research Forum, Springer, vol. 6(3), pages 1-26, September.
    53. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    54. Chia-Lin Chang & Michael McAleer, 2018. "The Fiction of Full BEKK: Pricing Fossil Fuels and Carbon Emissions," Tinbergen Institute Discussion Papers 17-015/III, Tinbergen Institute.
    55. Massimiliano Caporin & Michael McAleer, 2008. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," "Marco Fanno" Working Papers 0064, Dipartimento di Scienze Economiche "Marco Fanno".
    56. David E. Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Documentos de Trabajo del ICAE 2017-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    57. Boubacar Maïnassara, Y. & Kadmiri, O. & Saussereau, B., 2022. "Estimation of multivariate asymmetric power GARCH models," Journal of Multivariate Analysis, Elsevier, vol. 192(C).
    58. Jose Angelo Divino & Michael McAleer, 2009. "Modelling the Growth and Volatility in Daily International Mass Tourism to Peru," Documentos de Trabajo del ICAE 2009-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    59. Marie-Christine Duker & David S. Matteson & Ruey S. Tsay & Ines Wilms, 2024. "Vector AutoRegressive Moving Average Models: A Review," Papers 2406.19702, arXiv.org.
    60. Monica Billio & Massimiliano Caporin, 2006. "A generalized Dynamic Conditional Correlation Model for Portfolio Risk Evaluation," Working Papers 2006_53, Department of Economics, University of Venice "Ca' Foscari".
    61. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.
    62. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    63. Giorgio Canarella & Stephen M. Miller & Stephen K. Pollard, 2009. "Dynamic Stock Market Interactions between the Canadian, Mexican, and the United States Markets: The NAFTA Experience," Working Papers 0905, University of Nevada, Las Vegas , Department of Economics.
    64. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    65. Hakim, M.S. & McAleer, M.J., 2009. "Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence," Econometric Institute Research Papers EI 2009-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    66. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    67. Aielli, Gian Piero & Caporin, Massimiliano, 2014. "Variance clustering improved dynamic conditional correlation MGARCH estimators," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 556-576.
    68. Domingo Rodríguez Benavides & Ignacio Perrotini Hernández, 2019. "Las correlaciones dinámicas de contagio financiero:Estados Unidos y América Latina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 151-168, Abril-Jun.
    69. Karanasos, Menelaos & Yfanti, Stavroula & Wu, Jiaying, 2025. "The short- and long-run cyclical variation of the cross-asset nexus: Mixed-frequency evidence on financial and ‘financialised’ assets," Journal of Commodity Markets, Elsevier, vol. 38(C).
    70. Nadine McCloud & Yongmiao Hong, 2011. "Testing The Structure Of Conditional Correlations In Multivariate Garch Models: A Generalized Cross‐Spectrum Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 52(4), pages 991-1037, November.
    71. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2012. "Volatility Spillovers from the US to Australia and China across the GFC," Documentos de Trabajo del ICAE 2012-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    72. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    73. Hafner, Christian M. & Reznikova, Olga, 2012. "On the estimation of dynamic conditional correlation models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3533-3545.
    74. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    75. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    76. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    77. W. Kwan & W. K. Li & K. W. Ng, 2010. "A Multivariate Threshold Varying Conditional Correlations Model," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 20-38.
    78. Alshammari, Saad & Obeid, Hassan, 2023. "Analyzing commodity futures and stock market indices: Hedging strategies using asymmetric dynamic conditional correlation models," Finance Research Letters, Elsevier, vol. 56(C).
    79. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," MPRA Paper 44395, University Library of Munich, Germany.
    80. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    81. Sunghee Choi, 2024. "Estimating Spillover Effect from International Oil Market to Stock Market: Evidence from Korean Portfolio-Level Analysis," Economies, MDPI, vol. 12(4), pages 1-14, April.
    82. Rombouts, Jeroen & Stentoft, Lars & Violante, Franceso, 2014. "The value of multivariate model sophistication: An application to pricing Dow Jones Industrial Average options," International Journal of Forecasting, Elsevier, vol. 30(1), pages 78-98.
    83. Zhang, Hanyu & Dufour, Alfonso, 2024. "Managing portfolio risk during crisis times: A dynamic conditional correlation perspective," The Quarterly Review of Economics and Finance, Elsevier, vol. 94(C), pages 241-251.
    84. Hagströmer, Björn & Hansson, Björn & Nilsson, Birger, 2013. "The components of the illiquidity premium: An empirical analysis of US stocks 1927–2010," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4476-4487.
    85. Chang, Chia-Lin & McAleer, Michael & Wang, Yu-Ann, 2018. "Modelling volatility spillovers for bio-ethanol, sugarcane and corn spot and futures prices," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1002-1018.
    86. Matteo Manera & Alessandro Lanza & Michael McAleer, 2004. "Modelling Dynamic Conditional Correlations in WTI Oil Forward and Futures Returns," Working Papers 2004.72, Fondazione Eni Enrico Mattei.
    87. Perego, Erica R. & Vermeulen, Wessel N., 2016. "Macro-economic determinants of European stock and government bond correlations: A tale of two regions," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 214-232.
    88. Sylvia Gottschalk, 2023. "From Black Wednesday to Brexit: Macroeconomic shocks and correlations of equity returns in France, Germany, Italy, Spain, and the United Kingdom," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2843-2873, July.
    89. S. Yfanti & M. Karanasos & J. Wu & P. Vourvachis, 2025. "Short- and long-run cross-border European sustainability interdependences," Annals of Operations Research, Springer, vol. 347(1), pages 579-610, April.
    90. Michael McAleer, 2009. "The Ten Commandments For Optimizing Value‐At‐Risk And Daily Capital Charges," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 831-849, December.
    91. Massimo Giovannini & Margherita Grasso & Alessandro Lanza & Matteo Manera, 2006. "Conditional correlations in the returns on oil companies stock prices and their determinants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(4), pages 193-207, September.
    92. Almeida, Daniel de & Hotta, Luiz & Ruiz Ortega, Esther, 2015. "MGARCH models: tradeoff between feasibility and flexibility," DES - Working Papers. Statistics and Econometrics. WS ws1516, Universidad Carlos III de Madrid. Departamento de Estadística.
    93. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    94. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.
    95. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

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    2. Boldea, Otilia & Hall, Alastair R., 2013. "Estimation and inference in unstable nonlinear least squares models," Journal of Econometrics, Elsevier, vol. 172(1), pages 158-167.
    3. Fengler, Matthias R. & Mammen, Enno & Vogt, Michael, 2013. "Additive modeling of realized variance: tests for parametric specifications and structural breaks," Economics Working Paper Series 1332, University of St. Gallen, School of Economics and Political Science.
    4. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
    6. Degiannakis, Stavros & Floros, Christos, 2013. "Modeling CAC40 volatility using ultra-high frequency data," Research in International Business and Finance, Elsevier, vol. 28(C), pages 68-81.
    7. S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Byun, Suk Joon & Kim, Jun Sik, 2013. "The information content of risk-neutral skewness for volatility forecasting," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 142-161.
    9. Fonseca, Thais C O & Cerqueira, Vinicius S & Migon, Helio S & Torres, Christian A C, 2021. "Evaluating the performance of degrees of freedom estimation in asymmetric GARCH models with t-student innovations," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 40(2), April.
    10. Mihaela Craioveanu & Eric Hillebrand, 2012. "Why It Is Ok To Use The Har-Rv(1,5,21) Model," Working Papers 1201, University of Central Missouri, Department of Economics & Finance, revised Aug 2012.
    11. Zargar, Faisal Nazir & Kumar, Dilip, 2020. "Modeling unbiased extreme value volatility estimator in presence of heterogeneity and jumps: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 25-41.
    12. Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    13. Corsi, Fulvio & Fusari, Nicola & La Vecchia, Davide, 2013. "Realizing smiles: Options pricing with realized volatility," Journal of Financial Economics, Elsevier, vol. 107(2), pages 284-304.
    14. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    15. Ma, Feng & Wang, Jiqian & Wahab, M.I.M. & Ma, Yuanhui, 2023. "Stock market volatility predictability in a data-rich world: A new insight," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1804-1819.
    16. Bauwens, Luc & Dzuverovic, Emilija & Hafner, Christian, 2024. "Asymmetric Models for Realized Covariances," LIDAM Discussion Papers ISBA 2024022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    17. Xu, Zhiwei & Gan, Shiqi & Hua, Xia & Xiong, Yujie, 2024. "Can the sentiment of the official media predict the return volatility of the Chinese crude oil futures?," Energy Economics, Elsevier, vol. 140(C).
    18. Asai, Manabu & Brugal, Ivan, 2013. "Forecasting volatility via stock return, range, trading volume and spillover effects: The case of Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 202-213.
    19. Jorge M. Uribe, 2018. "“Scaling Down Downside Risk with Inter-Quantile Semivariances”," IREA Working Papers 201826, University of Barcelona, Research Institute of Applied Economics, revised Oct 2018.
    20. Xu, Jiawen & Perron, Pierre, 2014. "Forecasting return volatility: Level shifts with varying jump probability and mean reversion," International Journal of Forecasting, Elsevier, vol. 30(3), pages 449-463.
    21. Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
    22. Fengler, M.R. & Mammen, E. & Vogt, M., 2015. "Specification and structural break tests for additive models with applications to realized variance data," Journal of Econometrics, Elsevier, vol. 188(1), pages 196-218.
    23. Qu, Hui & Chen, Wei & Niu, Mengyi & Li, Xindan, 2016. "Forecasting realized volatility in electricity markets using logistic smooth transition heterogeneous autoregressive models," Energy Economics, Elsevier, vol. 54(C), pages 68-76.
    24. Lehrer, Steven & Xie, Tian & Zhang, Xinyu, 2021. "Social media sentiment, model uncertainty, and volatility forecasting," Economic Modelling, Elsevier, vol. 102(C).
    25. Emilio Zanetti Chini, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers 2018-13, Department of Economics and Business Economics, Aarhus University.
    26. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    27. Douglas G. Santos & Flavio A. Ziegelmann, 2014. "Volatility Forecasting via MIDAS, HAR and their Combination: An Empirical Comparative Study for IBOVESPA," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(4), pages 284-299, July.
    28. Janak Raj & Joice John, 0. "Steering interest rates amidst large structural surplus liquidity: a tale of three central banks," Indian Economic Review, Springer, vol. 0, pages 1-24.
    29. Bucci, Andrea, 2019. "Realized Volatility Forecasting with Neural Networks," MPRA Paper 95443, University Library of Munich, Germany.
    30. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
    32. Oleg Sokolinskiy & Dick van Dijk, 2011. "Forecasting Volatility with Copula-Based Time Series Models," Tinbergen Institute Discussion Papers 11-125/4, Tinbergen Institute.
    33. Xiaoyi Shen & Albert K. Tsui & Zhaoyong Zhang, 2019. "Volatility Timing in CPF Investment Funds in Singapore: Do They Outperform Non-CPF Funds?," Risks, MDPI, vol. 7(4), pages 1-16, October.
    34. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.
    35. Chen, Shiyi & Chng, Michael T. & Liu, Qingfu, 2021. "The implied arbitrage mechanism in financial markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 468-483.
    36. Tian, Fengping & Yang, Ke & Chen, Langnan, 2017. "Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity," International Journal of Forecasting, Elsevier, vol. 33(1), pages 132-152.
    37. Xiangjin B. Chen & Jiti Gao & Degui Li & Param Silvapulle, 2013. "Nonparametric Estimation and Parametric Calibration of Time-Varying Coefficient Realized Volatility Models," Monash Econometrics and Business Statistics Working Papers 21/13, Monash University, Department of Econometrics and Business Statistics.
    38. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    39. Goldman Elena & Nam Jouahn & Tsurumi Hiroki & Wang Jun, 2013. "Regimes and long memory in realized volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 521-549, December.
    40. Qu, Hui & Zhang, Yi, 2022. "Asymmetric multivariate HAR models for realized covariance matrix: A study based on volatility timing strategies," Economic Modelling, Elsevier, vol. 106(C).
    41. Fulvio Corsi, 2009. "A Simple Approximate Long-Memory Model of Realized Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 7(2), pages 174-196, Spring.
    42. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2023. "Machine learning advances for time series forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 76-111, February.
    43. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    44. Ding, Yi & Kambouroudis, Dimos & McMillan, David G., 2025. "Forecasting realised volatility using regime-switching models," International Review of Economics & Finance, Elsevier, vol. 101(C).
    45. Heather M. Anderson & Farshid Vahid, 2013. "Common non-linearities in multiple series of stock market volatility," Monash Econometrics and Business Statistics Working Papers 1/13, Monash University, Department of Econometrics and Business Statistics.
    46. Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
    47. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    48. Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
    49. Allen, David E. & McAleer, Michael & Scharth, Marcel, 2011. "Monte Carlo option pricing with asymmetric realized volatility dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1247-1256.
    50. Abderrazak Ben Maatoug & Rim Lamouchi & Russell Davidson & Ibrahim Fatnassi, 2018. "Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks," Post-Print hal-01982032, HAL.
    51. D. Delpini & G. Bormetti, 2015. "Stochastic volatility with heterogeneous time scales," Quantitative Finance, Taylor & Francis Journals, vol. 15(10), pages 1597-1608, October.
    52. Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
    53. Emilio Zanetti Chini, 2016. "Generalizing smooth transition autoregressions," DEM Working Papers Series 114, University of Pavia, Department of Economics and Management.
    54. Díaz-Hernández, Adán & Constantinou, Nick, 2019. "A multiple regime extension to the Heston–Nandi GARCH(1,1) model," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 162-180.
    55. Nima Nonejad, 2013. "Long Memory and Structural Breaks in Realized Volatility: An Irreversible Markov Switching Approach," CREATES Research Papers 2013-26, Department of Economics and Business Economics, Aarhus University.
    56. Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    57. Ma, Feng & Wei, Yu & Huang, Dengshi & Chen, Yixiang, 2014. "Which is the better forecasting model? A comparison between HAR-RV and multifractality volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 171-180.
    58. Arturo Leccadito & Omar Rachedi & Giovanni Urga, 2015. "True Versus Spurious Long Memory: Some Theoretical Results and a Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 452-479, April.
    59. David E. Allen & Michael McAleer & Marcel Scharth, 2009. "Realized Volatility Risk," CARF F-Series CARF-F-197, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Jan 2010.
    60. Stefano Grassi & Nima Nonejad & Paolo Santucci de Magistris, 2014. "Forecasting with the Standardized Self-Perturbed Kalman Filter," CREATES Research Papers 2014-12, Department of Economics and Business Economics, Aarhus University.
    61. Bucci, Andrea & Sanmarchi, Francesco & Santi, Luca & Golinelli, Davide, 2024. "Evaluating the nonlinear association between PM10 and emergency department visits," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
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    64. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Modelling and Forecasting Noisy Realized Volatility," CIRJE F-Series CIRJE-F-669, CIRJE, Faculty of Economics, University of Tokyo.
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    69. Giampiero M. Gallo & Edoardo Otranto, 2016. "Combining Markov Switching and Smooth Transition in Modeling Volatility: A Fuzzy Regime MEM," Econometrics Working Papers Archive 2016_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    70. Chen, Shengming & Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "The Russia–Ukraine war and energy market volatility: A novel application of the volatility ratio in the context of natural gas," Resources Policy, Elsevier, vol. 85(PA).
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    75. Eric Hillebrand & Marcelo C. Medeiros, 2016. "Nonlinearity, Breaks, and Long-Range Dependence in Time-Series Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 23-41, January.
    76. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    77. Gloria González-Rivera & Tae-Hwy Lee, 2007. "Nonlinear Time Series in Financial Forecasting," Working Papers 200803, University of California at Riverside, Department of Economics, revised Feb 2008.
    78. Andrea Bucci & Giulio Palomba & Eduardo Rossi, 2019. "Does macroeconomics help in predicting stock markets volatility comovements? A nonlinear approach," Working Papers 440, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    79. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    80. Maheu, John M. & Shamsi Zamenjani, Azam, 2025. "The role of macro-finance factors in predicting stock market volatility: A latent threshold dynamic model," Journal of Empirical Finance, Elsevier, vol. 82(C).
    81. Cheng, Xu, 2015. "Robust inference in nonlinear models with mixed identification strength," Journal of Econometrics, Elsevier, vol. 189(1), pages 207-228.
    82. Jiqian Wang & Feng Ma & Chao Liang & Zhonglu Chen, 2022. "Volatility forecasting revisited using Markov‐switching with time‐varying probability transition," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1387-1400, January.
    83. Janak Raj & Joice John, 2020. "Steering interest rates amidst large structural surplus liquidity: a tale of three central banks," Indian Economic Review, Springer, vol. 55(1), pages 93-116, June.
    84. Hillebrand Eric & Medeiros Marcelo C. & Xu Junyue, 2013. "Asymptotic Theory for Regressions with Smoothly Changing Parameters," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 133-162, April.
    85. Sergii Pypko, 2015. "Volatility Forecast in Crises and Expansions," JRFM, MDPI, vol. 8(3), pages 1-26, August.
    86. Ging-Ginq Pan & Yung-Ming Shiu & Tu-Cheng Wu, 2025. "Time-varying predictability of TAIEX volatility," Review of Derivatives Research, Springer, vol. 28(2), pages 1-28, July.
    87. Ke Yang & Langnan Chen, 2014. "Realized Volatility Forecast: Structural Breaks, Long Memory, Asymmetry, and Day-of-the-Week Effect," International Review of Finance, International Review of Finance Ltd., vol. 14(3), pages 345-392, September.
    88. Yan, Han & Liu, Bin & Zhu, Xingting & Wu, Yan, 2024. "Systemic risk monitoring model from the perspective of public information arrival," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    89. Lin-Yee Hin & Nikolai Dokuchaev, 2016. "Short Rate Forecasting Based On The Inference From The Cir Model For Multiple Yield Curve Dynamics," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 1-33, March.
    90. Francesco Battaglia & Mattheos Protopapas, 2009. "Time-varying Multi-regime Models Fitting by Genetic Algorithms," Working Papers 009, COMISEF.
    91. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    92. Christophe Boucher & Gilles de Truchis & Elena Dumitrescu & Sessi Tokpavi, 2017. "Testing for Extreme Volatility Transmission with Realized Volatility Measures," EconomiX Working Papers 2017-20, University of Paris Nanterre, EconomiX.
    93. Giampiero M. Gallo & Edoardo Otranto, 2017. "Combining Sharp and Smooth Transitions in Volatility Dynamics: a Fuzzy Regime Approach," Econometrics Working Papers Archive 2017_05, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    94. Choi, Ji-Eun & Shin, Dong Wan, 2020. "A self-normalization test for correlation change," Economics Letters, Elsevier, vol. 193(C).
    95. Audrino, Francesco & Sigrist, Fabio & Ballinari, Daniele, 2020. "The impact of sentiment and attention measures on stock market volatility," International Journal of Forecasting, Elsevier, vol. 36(2), pages 334-357.
    96. Richard T. Baillie & Dooyeon Cho & Seunghwa Rho, 2023. "Approximating long-memory processes with low-order autoregressions: Implications for modeling realized volatility," Empirical Economics, Springer, vol. 64(6), pages 2911-2937, June.
    97. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    98. Xiangjin B. Chen & Jiti Gao & Degui Li & Param Silvapulle, 2018. "Nonparametric Estimation and Forecasting for Time-Varying Coefficient Realized Volatility Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 88-100, January.
    99. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.
    100. Bucci, Andrea, 2017. "Forecasting realized volatility: a review," MPRA Paper 83232, University Library of Munich, Germany.

  239. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.

    Cited by:

    1. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J. & Thompson, M.A., 2009. "Precious Metals-Exchange Rate Volatility Transmissions and Hedging Strategies," Econometric Institute Research Papers EI 2009-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Jean Pierre Fernández Prada Saucedo & Gabriel Rodríguez, 2020. "Modeling the Volatility of Returns on Commodities: An Application and Empirical Comparison of GARCH and SV Models," Documentos de Trabajo / Working Papers 2020-484, Departamento de Economía - Pontificia Universidad Católica del Perú.
    3. Gil-Alana, Luis Alberiko & Poza, Carlos, 2024. "Volatility persistence in metal prices," Resources Policy, Elsevier, vol. 88(C).
    4. Choi, Kyongwook & Hammoudeh, Shawkat, 2010. "Volatility behavior of oil, industrial commodity and stock markets in a regime-switching environment," Energy Policy, Elsevier, vol. 38(8), pages 4388-4399, August.
    5. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J., 2010. "Exchange Rate and Industrial Commodity Volatility Transmissions, Asymmetries and Hedging Strategies," Econometric Institute Research Papers EI 2010-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Shawkat M. Hammoudeh & Yuan Yuan & Michael McAleer, 2009. "Exchange Rate and Industrial Commodity Volatility Transmissions and Hedging Strategies," CIRJE F-Series CIRJE-F-668, CIRJE, Faculty of Economics, University of Tokyo.
    7. Li, Gang & Li, Yong, 2015. "Forecasting copper futures volatility under model uncertainty," Resources Policy, Elsevier, vol. 46(P2), pages 167-176.
    8. Neda Todorova & Michael Soucek & Eduardo Roca, 2015. "Volatility spillovers from international commodity markets to the Australian equity market," Discussion Papers in Finance finance:201505, Griffith University, Department of Accounting, Finance and Economics.
    9. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    10. Mohamed El Hedi Arouri & Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen, 2013. "Long memory and structural breaks in modeling the return and volatility dynamics of precious metals," Working Papers hal-00798033, HAL.
    11. Guo, Jin, 2018. "Co-movement of international copper prices, China's economic activity, and stock returns: Structural breaks and volatility dynamics," Global Finance Journal, Elsevier, vol. 36(C), pages 62-77.
    12. Naeem, Muhammad Abubakr & Hasan, Mudassar & Arif, Muhammad & Suleman, Muhammad Tahir & Kang, Sang Hoon, 2022. "Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications," Energy Economics, Elsevier, vol. 105(C).
    13. Tangyong Liu & Xu Gong & Boqiang Lin, 2021. "Analyzing the frequency dynamics of volatility spillovers across precious and industrial metal markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1375-1396, September.
    14. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    15. Kajal Panwar & Miklesh Prasad Yadav & Neha Puri, 2025. "Spillover Effect of Green Bond with Metal and Bullion Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 32(1), pages 1-18, March.
    16. Karanasos, Menelaos & Menla Ali, Faek & Margaronis, Zannis & Nath, Rajat, 2018. "Modelling time varying volatility spillovers and conditional correlations across commodity metal futures," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 246-256.
    17. Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
    18. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    19. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2018. "The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-34, Eastern Mediterranean University, Department of Economics.
    20. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    21. Ciner, Cetin & Lucey, Brian & Yarovaya, Larisa, 2020. "Spillovers, integration and causality in LME non-ferrous metal markets," Journal of Commodity Markets, Elsevier, vol. 17(C).
    22. Jain, Prachi & Maitra, Debasish, 2023. "Risk implications of dependence in the commodities: A copula-based analysis," Global Finance Journal, Elsevier, vol. 57(C).
    23. Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2019. "The volatility effect on precious metals price returns in a stochastic volatility in mean model with time-varying parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    24. Adekoya, Oluwasegun B. & Oliyide, Johnson A. & Olubiyi, Ebenezer A. & Adedeji, Adedayo O., 2023. "The inflation-hedging performance of industrial metals in the world's most industrialized countries," Resources Policy, Elsevier, vol. 81(C).
    25. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2020. "The hedging effectiveness of industrial metals against different oil shocks: Evidence from the four newly developed oil shocks datasets," Resources Policy, Elsevier, vol. 69(C).
    26. Xiang, Shihui & Cao, Yanyan, 2023. "Green finance and natural resources commodities prices: Evidence from COVID-19 period," Resources Policy, Elsevier, vol. 80(C).

  240. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.

    Cited by:

    1. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    2. Julien Boelaert, 2013. "A Neural Network Demand System," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00917810, HAL.
    3. Julien Boelaert, 2013. "A Neural Network Demand System," Documents de travail du Centre d'Economie de la Sorbonne 13081, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Chai, Andreas & Kiedaisch, Christian & Rohde, Nicholas, 2024. "Household spending diversity, aggregation, and the value of product variety," Economic Modelling, Elsevier, vol. 141(C).
    5. Farbmacher, Helmut & Löw, Leander & Spindler, Martin, 2022. "An explainable attention network for fraud detection in claims management," Journal of Econometrics, Elsevier, vol. 228(2), pages 244-258.
    6. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.
    7. Harin, Alexander, 2014. "General correcting formulae for forecasts," MPRA Paper 55283, University Library of Munich, Germany.

  241. Medeiros, Marcelo C. & McAleer, Michael & Slottje, Daniel & Ramos, Vicente & Rey-Maquieira, Javier, 2008. "An alternative approach to estimating demand: Neural network regression with conditional volatility for high frequency air passenger arrivals," Journal of Econometrics, Elsevier, vol. 147(2), pages 372-383, December.

    Cited by:

    1. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.
    2. Sun, Shaolong & Lu, Hongxu & Tsui, Kwok-Leung & Wang, Shouyang, 2019. "Nonlinear vector auto-regression neural network for forecasting air passenger flow," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 54-62.
    3. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Multiple-input multiple-output vs. single-input single-output neural network forecasting”," AQR Working Papers 201502, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2015.
    4. Luis A Gil-Alana & à gueda Gil-López & Elena San Román, 2021. "Tourism persistence in Spain: National versus international visitors," Tourism Economics, , vol. 27(4), pages 614-625, June.
    5. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
    6. Ari, Didem & Mizrak Ozfirat, Pinar, 2024. "Comparison of artificial neural networks and regression analysis for airway passenger estimation," Journal of Air Transport Management, Elsevier, vol. 115(C).
    7. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    8. Hopfe, David H. & Lee, Kiljae & Yu, Chunyan, 2024. "Short-term forecasting airport passenger flow during periods of volatility: Comparative investigation of time series vs. neural network models," Journal of Air Transport Management, Elsevier, vol. 115(C).
    9. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A regional perspective on the accuracy of machine learning forecasts of tourism demand based on data characteristics”," AQR Working Papers 201802, University of Barcelona, Regional Quantitative Analysis Group, revised Apr 2018.
    10. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
    11. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    12. Oscar Claveria & Enric Monte & Salvador Torra, 2016. "Modelling cross-dependencies between Spain’s regional tourism markets with an extension of the Gaussian process regression model," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 7(3), pages 341-357, August.
    13. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Regional tourism demand forecasting with machine learning models: Gaussian process regression vs. neural network models in a multiple-input multiple-output setting”," AQR Working Papers 201701, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2017.
    14. Gunter, Ulrich & Zekan, Bozana, 2021. "Forecasting air passenger numbers with a GVAR model," Annals of Tourism Research, Elsevier, vol. 89(C).
    15. Oscar Claveria & Enric Monte & Salvador Torra, 2015. "“Regional Forecasting with Support Vector Regressions: The Case of Spain”," AQR Working Papers 201506, University of Barcelona, Regional Quantitative Analysis Group, revised Jan 2015.
    16. Ana Bartolomé & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Modelling Air Passenger Arrivals in the Balearic and Canary Islands, Spain," Tourism Economics, , vol. 15(3), pages 481-500, September.
    17. Andrawis, Robert R. & Atiya, Amir F. & El-Shishiny, Hisham, 2011. "Combination of long term and short term forecasts, with application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 27(3), pages 870-886, July.
    18. Farbmacher, Helmut & Löw, Leander & Spindler, Martin, 2022. "An explainable attention network for fraud detection in claims management," Journal of Econometrics, Elsevier, vol. 228(2), pages 244-258.

  242. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2008. "Is Greater China a currency union?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 319-327.

    Cited by:

    1. Reza Moosavi Mohseni & M. Azali, 2014. "Monetary Integration and Optimum Currency Area in ASEAN+3: What We Need for a New Framework?," International Journal of Economics and Financial Issues, Econjournals, vol. 4(2), pages 277-285.

  243. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.

    Cited by:

    1. Leopoldo Catania & Nima Nonejad, 2016. "Density Forecasts and the Leverage Effect: Some Evidence from Observation and Parameter-Driven Volatility Models," Papers 1605.00230, arXiv.org, revised Nov 2016.
    2. Michael McAleer & Bernardo da Veiga & Suhejla Hoti, 2009. "Value-at-Risk for Country Risk Ratings," CARF F-Series CARF-F-169, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Mauro Bernardi & Leopoldo Catania, 2014. "The Model Confidence Set package for R," Papers 1410.8504, arXiv.org.
    5. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Hammoudeh, S.M. & Malik, F. & McAleer, M.J., 2010. "Risk management of precious metals," Econometric Institute Research Papers EI 2010-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    8. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    9. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. C. A. Abanto-Valle & V. H. Lachos & Dipak K. Dey, 2015. "Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 721-738, September.
    12. Hammoudeh, Shawkat & Araújo Santos, Paulo & Al-Hassan, Abdullah, 2013. "Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 318-334.
    13. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.
    14. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    16. Bendiksen, Vidar & Løining, Lars Olai Fjellestad & Lyócsa, Štefan, 2025. "Cross-border and cross-regional electricity transmission: Is there a price impact in south Norway?," Energy Economics, Elsevier, vol. 150(C).
    17. Catania, Leopoldo & Grassi, Stefano, 2022. "Forecasting cryptocurrency volatility," International Journal of Forecasting, Elsevier, vol. 38(3), pages 878-894.
    18. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    19. Leandro Maciel, 2021. "Cryptocurrencies value‐at‐risk and expected shortfall: Do regime‐switching volatility models improve forecasting?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4840-4855, July.
    20. Mauro Bernardi & Leopoldo Catania, 2015. "Switching-GAS Copula Models With Application to Systemic Risk," Papers 1504.03733, arXiv.org, revised Jan 2016.
    21. Francq, Christian & Zakoian, Jean-Michel, 2015. "Joint inference on market and estimation risks in dynamic portfolios," MPRA Paper 68100, University Library of Munich, Germany.
    22. Santos, André A. P. & Nogales, Francisco J. & Ruiz Ortega, Esther, 2009. "Comparing univariate and multivariate models to forecast portfolio value-at-risk," DES - Working Papers. Statistics and Econometrics. WS ws097222, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Alain-Philippe Fortin & Jean-Guy Simonato & Georges Dionne, 2018. "Forecasting Expected Shortfall: Should we use a Multivariate Model for Stock Market Factors?," Working Papers 18-4, HEC Montreal, Canada Research Chair in Risk Management.
    25. Chen, Cathy W.S. & Gerlach, Richard & Hwang, Bruce B.K. & McAleer, Michael, 2012. "Forecasting Value-at-Risk using nonlinear regression quantiles and the intra-day range," International Journal of Forecasting, Elsevier, vol. 28(3), pages 557-574.
    26. Mikhail Makushkin & Victor Lapshin, 2020. "Modelling tail dependencies between Russian and foreign stock markets: Application for market risk valuation," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 57, pages 30-52.
    27. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2009. "What Happened to Risk Management During the 2008-09 Financial Crisis?," Econometric Institute Research Papers EI 2009-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Degiannakis, Stavros & Kiohos, Apostolos, 2014. "Multivariate modelling of 10-day-ahead VaR and dynamic correlation for worldwide real estate and stock indices," MPRA Paper 80438, University Library of Munich, Germany.
    29. Guglielmo Maria Caporale & Timur Zekokh, 2018. "Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models," CESifo Working Paper Series 7167, CESifo.
    30. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    31. Jochen Krause & Marc S. Paolella, 2014. "A Fast, Accurate Method for Value-at-Risk and Expected Shortfall," Econometrics, MDPI, vol. 2(2), pages 1-25, June.
    32. Albert Antwi & Emmanuel N. Gyamfi & Anokye M. Adam, 2024. "Forecasting tail risk of skewed financial returns having exponential‐polynomial tails," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2731-2748, November.
    33. Bernardo da Veiga & Felix Chan & Michael McAleer, 2009. "It Pays to Violate: How Effective are the Basel Accord Penalties?," CARF F-Series CARF-F-186, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    34. Strzalkowska-Kominiak, Ewa & Cao, Ricardo, 2013. "Maximum likelihood estimation for conditional distribution single-index models under censoring," Journal of Multivariate Analysis, Elsevier, vol. 114(C), pages 74-98.
    35. Ardia, David & Bluteau, Keven & Boudt, Kris & Catania, Leopoldo, 2018. "Forecasting risk with Markov-switching GARCH models:A large-scale performance study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 733-747.
    36. M. Angeles Carnero Fernández & M. Hakan Eratalay, 2012. "Estimating VAR-MGARCH models in multiple steps," Working Papers. Serie AD 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    37. Allen, David & Lizieri, Colin & Satchell, Stephen, 2020. "A comparison of non-Gaussian VaR estimation and portfolio construction techniques," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 356-368.
    38. Sander Barendse & Andrew J. Patton, 2020. "Comparing Predictive Accuracy in the Presence of a Loss Function Shape Parameter," Economics Series Working Papers 909, University of Oxford, Department of Economics.
    39. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Pérez-Amaral, 0000. "Has the Basel II Accord Encouraged Risk Management during the 2008-09 Financial Crisis?," Tinbergen Institute Discussion Papers 09-039/4, Tinbergen Institute.
    40. Wei Kuang, 2024. "High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-35, May.
    41. Bogdan, Dima & Ştefana Maria, Dima & Roxana, Ioan, 2022. "A Value-at-Risk forecastability indicator in the framework of a Generalized Autoregressive Score with “Asymmetric Laplace Distribution”," Finance Research Letters, Elsevier, vol. 45(C).
    42. Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2015. "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Tinbergen Institute Discussion Papers 15-140/III, Tinbergen Institute, revised 19 Apr 2017.
    43. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    44. Mauro Bernardi & Leopoldo Catania & Lea Petrella, 2014. "Are news important to predict large losses?," Papers 1410.6898, arXiv.org, revised Oct 2014.
    45. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    46. Mauro Bernardi & Leopoldo Catania, 2016. "Comparison of Value-at-Risk models using the MCS approach," Computational Statistics, Springer, vol. 31(2), pages 579-608, June.
    47. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.

  244. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.

    Cited by:

    1. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Working Papers 2012.23, Fondazione Eni Enrico Mattei.
    2. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    3. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Modelling the asymmetric volatility of anti-pollution patents in the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 179-197, February.
    6. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    7. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    9. Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Esfandiar Maasoumi & Michael McAleer & Teodosio Pérez-Amaral, 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Documentos de Trabajo del ICAE 2015-16, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Documentos de Trabajo del ICAE 2013-25, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Guillaume Gaetan Martinet & Michael McAleer, 2014. "On the Invertibility of EGARCH," Working Papers in Economics 14/21, University of Canterbury, Department of Economics and Finance.
    12. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    13. Michael McAleer & Chia-Lin Chang & Roengchai Tansuchat, 2012. "Modelling Long Memory Volatility in Agricultural Commodity Futures Return," KIER Working Papers 817, Kyoto University, Institute of Economic Research.
    14. Wang, Yudong & Wu, Chongfeng, 2012. "Forecasting energy market volatility using GARCH models: Can multivariate models beat univariate models?," Energy Economics, Elsevier, vol. 34(6), pages 2167-2181.
    15. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Alexopoulos, Michelle & Cohen, Jon, 2015. "The power of print: Uncertainty shocks, markets, and the economy," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 8-28.
    17. Chang, Chia-Lin & Hsu, Hui-Kuang, 2013. "Modelling Volatility Size Effects for Firm Performance: The Impact of Chinese Tourists to Taiwan," MPRA Paper 45691, University Library of Munich, Germany.
    18. Chia-Lin Chang & Michael McAleer & Christine Lim, 2011. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Documentos de Trabajo del ICAE 2011-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    19. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2011. "How Volatile is ENSO?," Documentos de Trabajo del ICAE 2011-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    21. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    22. Massimiliano Caporin & Chia-Lin Chang & Michael McAleer, 2016. "Are the S&P 500 Index and Crude Oil, Natural Gas and Ethanol Futures Related for Intra-Day Data?," Documentos de Trabajo del ICAE 2016-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    23. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    24. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    25. Piotr Wdowinski & Marta Malecka, 2010. "Asymmetry in Volatility: A Comparison of Developed and Transition Stock Markets," CESifo Working Paper Series 2974, CESifo.
    26. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CIRJE F-Series CIRJE-F-676, CIRJE, Faculty of Economics, University of Tokyo.
    27. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    28. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    29. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    30. Zhao, Xin & Scarrott, Carl John & Oxley, Les & Reale, Marco, 2011. "GARCH dependence in extreme value models with Bayesian inference," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1430-1440.
    31. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    32. Leh-Chyan So & Jun-Yang Yu, 2015. "IMPROVED DETECTION OF RARE-EVENT RISK OF A PORTFOLIO WITH U.S. REITs," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-25, December.
    33. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    34. Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CARF F-Series CARF-F-166, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    35. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    36. Chen, Cathy W.S. & Gerlach, Richard H. & Tai, Amanda P.J., 2008. "Testing for nonlinearity in mean and volatility for heteroskedastic models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 489-499.
    37. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    38. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    39. Demos Antonis & Kyriakopoulou Dimitra, 2019. "Finite-Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," Journal of Time Series Econometrics, De Gruyter, vol. 11(1), pages 1-20, January.
    40. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    41. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2012. "Is Small Beautiful? Size Effects of Volatility Spillovers for Firm Performance and Exchange Rates in Tourism," KIER Working Papers 839, Kyoto University, Institute of Economic Research.
    42. Li, Ming-Yuan Leon, 2009. "Could the jump diffusion technique enhance the effectiveness of futures hedging models?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(10), pages 3076-3088.
    43. Phillip A. Cartwright & Natalija Riabko, 2019. "Do spot food commodity and oil prices predict futures prices?," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 153-194, July.
    44. John Francis T. Diaz, 2018. "Volatility Dynamics in the ASEAN– China Free Trade Agreement," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(3), pages 287-306, December.
    45. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    46. Chang, C-L. & Chen, C-C. & McAleer, M.J. & Chen, P-Y., 2013. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Econometric Institute Research Papers EI 2013-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    47. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    48. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    49. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    50. Yang, Yung-Lieh & Chang, Chia-Lin, 2008. "A double-threshold GARCH model of stock market and currency shocks on stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 458-474.
    51. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    52. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    53. Abad, Pilar & Benito, Sonia, 2013. "A detailed comparison of value at risk estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 258-276.
    54. Sérgio J Teixeira & João J Ferreira & Peter Wanke & Jorge Junio Moreira Antunes, 2021. "Evaluation model of competitive and innovative tourism practices based on information entropy and alternative criteria weight," Tourism Economics, , vol. 27(1), pages 23-44, February.
    55. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's Major Trading Partners across the GFC," Tinbergen Institute Discussion Papers 14-106/III, Tinbergen Institute.
    56. K. Abhaya Kumar & Prakash Pinto & Iqbal Thonse Hawaldar & K. G. Ramesh, 2021. "Can Crude Oil Futures be the Good Hedging Tool for Tyre Equities? Evidence from India," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 523-537.
    57. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
    58. Stanislav Anatolyev, 2006. "Dynamic modeling under linear-exponential loss," Working Papers w0092, Center for Economic and Financial Research (CEFIR).
    59. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    60. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    61. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2013. "The Impact of China on Stock Returns and Volatility in the Taiwan Tourism Industry," Tinbergen Institute Discussion Papers 13-118/III, Tinbergen Institute.
    62. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.
    63. Chan, F. & McAleer, M.J. & Medeiros, M.C., 2011. "Structure and Asymptotic theory for Nonlinear Models with GARCH Errors," Econometric Institute Research Papers EI 2010-79, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    64. Massimiliano Caporin & Michael McAleer, 2008. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," "Marco Fanno" Working Papers 0064, Dipartimento di Scienze Economiche "Marco Fanno".
    65. Jose Angelo Divino & Michael McAleer, 2009. "Modelling the Growth and Volatility in Daily International Mass Tourism to Peru," Documentos de Trabajo del ICAE 2009-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    66. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    67. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    68. Pedro Pires Ribeiro & José Dias Curto, 2017. "Volatility spillover effects in interbank money markets," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 153(1), pages 105-136, February.
    69. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2012. "Volatility Spillovers from the US to Australia and China across the GFC," Documentos de Trabajo del ICAE 2012-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    70. Felix Chan & Dora Marinova & Michael McAleer, 2003. "Modelling the Asymmetric Volatility of Electronics Patents in the USA," CIRJE F-Series CIRJE-F-208, CIRJE, Faculty of Economics, University of Tokyo.
    71. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    72. Robert L. Basmann & Michael McAleer & Daniel Slottje, 2007. "Patent Activity and Technical Change," DEA Working Papers 27, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    73. Chia-Lin Chang & Michael McAleer & Dan Slottje, 2009. "Modelling International Tourist Arrivals and Volatility: An Application to Taiwan," Documentos de Trabajo del ICAE 2009-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    74. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    75. Wong, Wing-Keung & McAleer, Michael, 2009. "Mapping the Presidential Election Cycle in US stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(11), pages 3267-3277.
    76. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    77. Phillip A. Cartwright & Natalija Riabko, 2016. "Further evidence on the explanatory power of spot food and energy commodities market prices for futures prices," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 579-605, October.
    78. Hakim, Abdul & McAleer, Michael, 2009. "Forecasting conditional correlations in stock, bond and foreign exchange markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2830-2846.
    79. David E. Allen & Ron Amram & Michael McAleer, 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Documentos de Trabajo del ICAE 2011-38, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    80. Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006. "Modeling dynamic conditional correlations in WTI oil forward and futures returns," Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
    81. G l ah Gen er elik, 2020. "Volatility Modelling for Tourism Sector Stocks in Borsa Istanbul," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 158-165.
    82. Lee, Eun Su & Liu, Wei & Yang, Jing Yu, 2023. "Neither developed nor emerging: Dual paths for outward FDI and home country innovation in emerged market MNCs," International Business Review, Elsevier, vol. 32(2).
    83. Behmiri, Niaz Bashiri & Manera, Matteo, 2015. "The role of outliers and oil price shocks on volatility of metal prices," Resources Policy, Elsevier, vol. 46(P2), pages 139-150.
    84. Caporin, Massimiliano, 2013. "Equity and CDS sector indices: Dynamic models and risk hedging," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 261-275.
    85. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2013. "Financial Speculation in Energy and Agriculture Futures Markets: A Multivariate GARCH Approach," The Energy Journal, , vol. 34(3), pages 55-82, July.
    86. Bartolomé, Ana & McAleer, Michael & Ramos, Vicente & Rey-Maquieira, Javier, 2009. "A risk map of international tourist regions in Spain," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2741-2758.
    87. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    88. Vicente German-Soto & Luis Gutiérrez Flores, 2015. "A Standardized Coefficients Model to Analyze the Regional Patents Activity: Evidence from the Mexican States," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 6(1), pages 72-89, March.
    89. Ana Bartolomé & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Modelling Air Passenger Arrivals in the Balearic and Canary Islands, Spain," Tourism Economics, , vol. 15(3), pages 481-500, September.
    90. Stuart J. H. Graham & Alan C. Marco & Amanda F. Myers, 2018. "Patent transactions in the marketplace: Lessons from the USPTO Patent Assignment Dataset," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 27(3), pages 343-371, September.
    91. Wai Hong Kan Tsui & Faruk Balli, 2017. "International arrivals forecasting for Australian airports and the impact of tourism marketing expenditure," Tourism Economics, , vol. 23(2), pages 403-428, March.
    92. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    93. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.
    94. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.
    95. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    96. Balli, Hatice Ozer & Tsui, Wai Hong Kan & Balli, Faruk, 2019. "Modelling the volatility of international visitor arrivals to New Zealand," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 204-214.
    97. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.
    98. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    99. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    100. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  245. Basmann, Robert L. & McAleer, Michael & Slottje, Daniel, 2007. "Patent activity and technical change," Journal of Econometrics, Elsevier, vol. 139(2), pages 355-375, August.
    See citations under working paper version above.
  246. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.

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    2. Tao, Hu & Zhuang, Shan & Xue, Rui & Cao, Wei & Tian, Jinfang & Shan, Yuli, 2022. "Environmental Finance: An Interdisciplinary Review," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    3. Miriam Breitenstein & Duc Khuong Nguyen & Thomas Walther, 2021. "Environmental Hazards And Risk Management In The Financial Sector: A Systematic Literature Review," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 512-538, April.
    4. Marouane Nakhcha & Mamdouh Tlaty, 2023. "The Emergence of Green Finance in the Digital Age: Catalyst for a Sustainable and Innovative Economy [L'émergence de la finance verte à l'ère numérique: Catalyseur d'une économie durable et innovante]," Post-Print hal-04333883, HAL.
    5. Xiang, Diling & Ghaemi Asl, Mahdi & Nasr Isfahani, Mohammad & Vasa, László, 2024. "Would really long-only climate-transition strategies in commodities bring lower market risk for sustainable markets in the long run? The Islamic sustainable market versus the global sustainability leaders," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1271-1295.
    6. Patricia Crifo & Vanina D. Forget, 2015. "The Economics Of Corporate Social Responsibility: A Firm-Level Perspective Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 112-130, February.
    7. Olaf Weber, 2014. "Environmental, Social and Governance Reporting in China," Business Strategy and the Environment, Wiley Blackwell, vol. 23(5), pages 303-317, July.
    8. Emil Andersson & Mahim Hoque & Md Lutfur Rahman & Gazi Salah Uddin & Ranadeva Jayasekera, 2022. "ESG investment: What do we learn from its interaction with stock, currency and commodity markets?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3623-3639, July.
    9. Md Zulquar Nain & Sajad Ahmad Bhat & Javed Ahmad Bhat, 2023. "ESG investments, bear periods and adaptive resilience: evidence from India using a DBEKK‑MGARCH," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 25(1), pages 5-21, December.
    10. Yen-Hsien Lee, 2013. "The Predictability of the Socially Responsible Investment Index: A New TMDCC Approach," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 5(1), pages 027-034, June.
    11. Min Zhang & Chengrong Li & Jinshan Zhang & Hongwei Chen, 2023. "How Green Finance Affects Green Total Factor Productivity—Evidence from China," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    12. Yuwen Dai, 2025. "Sustainable investing in emerging markets: Evidence from the Sustainable Stock Exchanges initiative," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 2001-2015, April.
    13. Kumar, Bipul & Sinha, Piyush Kumar & Shukla, P. R. & Abhishek, 2013. "Broadening the Concept of Sustainability and Measuring its Impact on Firm’s Performance," IIMA Working Papers WP2013-08-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    14. Fabio Pisani & Giorgia Russo, 2021. "Sustainable Finance and COVID-19: The Reaction of ESG Funds to the 2020 Crisis," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    15. Helen Chiappini & Gianfranco Vento & Leonardo De Palma, 2021. "The Impact of COVID-19 Lockdowns on Sustainable Indexes," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    16. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.
    17. Sadorsky, Perry, 2014. "Modeling volatility and conditional correlations between socially responsible investments, gold and oil," Economic Modelling, Elsevier, vol. 38(C), pages 609-618.
    18. Felipe Arias Fogliano de Souza Cunha & Erick Meira de Oliveira & Renato J. Orsato & Marcelo Cabus Klotzle & Fernando Luiz Cyrino Oliveira & Rodrigo Goyannes Gusmão Caiado, 2020. "Can sustainable investments outperform traditional benchmarks? Evidence from global stock markets," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 682-697, February.

  247. McAleer, Michael, 2007. "The econometrics of intellectual property: An overview," Journal of Econometrics, Elsevier, vol. 139(2), pages 237-241, August.

    Cited by:

    1. Nir Jaimovich & Sergio Rebelo, 2012. "Non-linear Effects of Taxation on Growth," NBER Working Papers 18473, National Bureau of Economic Research, Inc.

  248. Manabu Asai & Michael McAleer, 2007. "Non-trading day effects in asymmetric conditional and stochastic volatility models," Econometrics Journal, Royal Economic Society, vol. 10(1), pages 113-123, March.

    Cited by:

    1. Barrera, Carlos R., 2010. "Redes neuronales para predecir el tipo de cambio diario," Working Papers 2010-001, Banco Central de Reserva del Perú.
    2. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.

  249. Suhejla Hoti & Michael McAleer, 2006. "How Does Country Risk Affect Innovation? An Application To Foreign Patents Registered In The Usa," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 691-714, September.

    Cited by:

    1. Michael McAleer & Les Oxley, 2006. "Intellectual Property And Economic Incentives," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 483-491, September.
    2. Frimpong, Stephen, 2024. "Against Democracy, Neo-totalitarianism, or What? A Cross-Country Dynamic Panel Endogenous Switching Regressing Analysis of Innovation, Economic Growth, and Political Stability," World Development Perspectives, Elsevier, vol. 36(C).
    3. Wen, Jun & Duan, Hai-Peng & Chang, Chun-Ping & Zhao, Xin-Xin, 2025. "The impact of country risk on innovation: Global evidence," Economic Systems, Elsevier, vol. 49(2).
    4. Suhejla Hoti & Michael McAleer & Daniel Slottje, 2006. "Intellectual Property Litigation Activity In The Usa," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 715-729, September.
    5. Cristian Barra & Nazzareno Ruggiero, 2023. "Quality of Government and Types of Innovation—Empirical Evidence for Italian Manufacturing Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1749-1789, June.
    6. Guan, Yuexin & Pan, Wei-Fong & Tang, Siyu, 2024. "Female political leaders and R&D investment," Research in International Business and Finance, Elsevier, vol. 70(PB).

  250. Manabu Asai & Michael McAleer, 2006. "Asymmetric Multivariate Stochastic Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 453-473.
    See citations under working paper version above.
  251. Matteo Manera & Michael McAleer & Margherita Grasso, 2006. "Modelling time-varying conditional correlations in the volatility of Tapis oil spot and forward returns," Applied Financial Economics, Taylor & Francis Journals, vol. 16(7), pages 525-533.

    Cited by:

    1. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2012. "Returns in Commodities Futures Markets and Financial Speculation: A Multivariate GARCH Approach," Working Papers 2012.23, Fondazione Eni Enrico Mattei.
    2. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CIRJE F-Series CIRJE-F-676, CIRJE, Faculty of Economics, University of Tokyo.
    4. Jin, Xiaoye, 2015. "Asymmetry in return and volatility spillover between China's interbank and exchange T-bond markets," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 340-353.
    5. Jitmaneeroj, Boonlert, 2018. "The effect of the rebalancing horizon on the tradeoff between hedging effectiveness and transaction costs," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 282-298.
    6. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's Major Trading Partners across the GFC," Tinbergen Institute Discussion Papers 14-106/III, Tinbergen Institute.
    7. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Vargas, Gregorio A., 2008. "What Drives the Dynamic Conditional Correlation of Foreign Exchange and Equity Returns?," MPRA Paper 7174, University Library of Munich, Germany.
    10. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2012. "Volatility Spillovers from the US to Australia and China across the GFC," Documentos de Trabajo del ICAE 2012-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Filis, George & Degiannakis, Stavros & Floros, Christos, 2011. "Dynamic correlation between stock market and oil prices: The case of oil-importing and oil-exporting countries," MPRA Paper 96299, University Library of Munich, Germany.
    12. David E. Allen & Ron Amram & Michael McAleer, 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Documentos de Trabajo del ICAE 2011-38, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    13. Xuan Vinh Vo & Kevin Daly, 2008. "Volatility amongst firms in the Dow Jones Eurostoxx50 Index," Applied Financial Economics, Taylor & Francis Journals, vol. 18(7), pages 569-582.
    14. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019. "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, vol. 81(C), pages 1132-1147.
    15. Matteo Manera & Marcella Nicolini & Ilaria Vignati, 2013. "Financial Speculation in Energy and Agriculture Futures Markets: A Multivariate GARCH Approach," The Energy Journal, , vol. 34(3), pages 55-82, July.
    16. George E. Halkos & Apostolos S. Tsirivis, 2019. "Energy Commodities: A Review of Optimal Hedging Strategies," Energies, MDPI, vol. 12(20), pages 1-19, October.
    17. Gatfaoui, Hayette, 2016. "Linking the gas and oil markets with the stock market: Investigating the U.S. relationship," Energy Economics, Elsevier, vol. 53(C), pages 5-16.
    18. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    19. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.

  252. Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006. "Modeling dynamic conditional correlations in WTI oil forward and futures returns," Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
    See citations under working paper version above.
  253. Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility: A Review," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 145-175.

    Cited by:

    1. Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    3. Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2015. "Bayesian Modeling of Dynamic Extreme Values: Extension of Generalized Extreme Value Distributions with Latent Stochastic Processes ," CIRJE F-Series CIRJE-F-953, CIRJE, Faculty of Economics, University of Tokyo.
    4. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    5. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," Tinbergen Institute Discussion Papers 13-003/III, Tinbergen Institute.
    6. Markus Bibinger & Jun Yu & Chen Zhang, 2025. "Modeling and Forecasting Realized Volatility with Multivariate Fractional Brownian Motion," Papers 2504.15985, arXiv.org.
    7. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.
    8. Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
    9. Da Fonseca José & Grasselli Martino & Ielpo Florian, 2014. "Estimating the Wishart Affine Stochastic Correlation Model using the empirical characteristic function," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(3), pages 253-289, May.
    10. León Beleña & Ernesto Curbelo & Luca Martino & Valero Laparra, 2024. "Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation," Mathematics, MDPI, vol. 12(9), pages 1-15, May.
    11. Casas, Isabel & Gao, Jiti, 2008. "Econometric estimation in long-range dependent volatility models: Theory and practice," Journal of Econometrics, Elsevier, vol. 147(1), pages 72-83, November.
    12. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    13. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    14. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Virbickaitė, Audronė & Lopes, Hedibert F. & Zaharieva, Martina Danielova, 2025. "Multivariate dynamic mixed-frequency density pooling for financial forecasting," International Journal of Forecasting, Elsevier, vol. 41(3), pages 1184-1198.
    17. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.
    18. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    19. Chen, Han & Fei, Yijie & Yu, Jun, 2025. "Multivariate stochastic volatility models based on generalized Fisher transformation," Journal of Econometrics, Elsevier, vol. 251(C).
    20. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    21. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    22. Pop, Raluca Elena, 2012. "Herd behavior towards the market index: evidence from Romanian stock exchange," MPRA Paper 51595, University Library of Munich, Germany.
    23. Haoyuan Wang & Chen Liu & Minh-Ngoc Tran & Chao Wang, 2025. "Deep Learning Enhanced Multivariate GARCH," Papers 2506.02796, arXiv.org.
    24. G.K., Chetan Kumar & K.B., Rangappa & S., Suchitra, 2022. "Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model," MPRA Paper 114027, University Library of Munich, Germany.
    25. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    26. Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015. "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, vol. 12(C), pages 2-10.
    27. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Working Papers 0505, VCU School of Business, Department of Economics.
    28. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    29. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    30. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    31. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    32. Christian Hafner & Philip Hans Franses, 2009. "A Generalized Dynamic Conditional Correlation Model: Simulation and Application to Many Assets," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 612-631.
    33. Ishihara, Tsunehiro & Omori, Yasuhiro, 2012. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3674-3689.
    34. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility using state space models," Papers 0802.0223, arXiv.org.
    35. H. F. Lopes & R. E. McCulloch & R. S. Tsay, 2014. "Parsimony Inducing Priors for Large Scale State-Space Models," Business and Economics Working Papers 205, Unidade de Negocios e Economia, Insper.
    36. Ewa Feder-Sempach & Piotr Szczepocki & Joanna Bogołębska, 2024. "Global uncertainty and potential shelters: gold, bitcoin, and currencies as weak and strong safe havens for main world stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
    37. Anders Johansson, 2009. "Stochastic volatility and time-varying country risk in emerging markets," The European Journal of Finance, Taylor & Francis Journals, vol. 15(3), pages 337-363.
    38. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    39. Hwai-Chung Ho, 2022. "Forecasting the distribution of long-horizon returns with time-varying volatility," Papers 2201.07457, arXiv.org.
    40. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    41. Bastian Gribisch, 2018. "A latent dynamic factor approach to forecasting multivariate stock market volatility," Empirical Economics, Springer, vol. 55(2), pages 621-651, September.
    42. Roxana Chiriac & Valeri Voev, 2011. "Modelling and forecasting multivariate realized volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(6), pages 922-947, September.
    43. Sourav Majumdar & Arnab Kumar Laha, 2024. "Diffusion on the circle and a stochastic correlation model," Papers 2412.06343, arXiv.org, revised Jan 2026.
    44. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Working Papers in Economics 14/10, University of Canterbury, Department of Economics and Finance.
    45. Beum-Jo Park, 2011. "Forecasting Volatility in Financial Markets Using a Bivariate Stochastic Volatility Model with Surprising Information," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-58, September.
    46. Nguyen, Hoang & Virbickaitė, Audronė, 2023. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Energy Economics, Elsevier, vol. 124(C).
    47. Ilya Archakov, 2026. "A Robust Similarity Estimator," Papers 2601.12198, arXiv.org.
    48. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
    49. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Documentos de Trabajo del ICAE 2012-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    50. Paolella, Marc S. & Polak, Paweł, 2015. "COMFORT: A common market factor non-Gaussian returns model," Journal of Econometrics, Elsevier, vol. 187(2), pages 593-605.
    51. Billio, Monica & Caporin, Massimiliano, 2009. "A generalized Dynamic Conditional Correlation model for portfolio risk evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2566-2578.
    52. Jarjour, Riad & Chan, Kung-Sik, 2020. "Dynamic conditional angular correlation," Journal of Econometrics, Elsevier, vol. 216(1), pages 137-150.
    53. Asai, Manabu & McAleer, Michael & Medeiros, Marcelo C., 2012. "Modelling and forecasting noisy realized volatility," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 217-230, January.
    54. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    55. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CARF F-Series CARF-F-167, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    56. Alin Sima, 2008. "Stylized Facts and Discrete Stochastic Volatility Models," Advances in Economic and Financial Research - DOFIN Working Paper Series 10, Bucharest University of Economics, Center for Advanced Research in Finance and Banking - CARFIB.
    57. Chen, J. & Kobayashi, M. & McAleer, M.J., 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Econometric Institute Research Papers TI 2017-022/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    58. Bastian Gribisch, 2016. "Multivariate Wishart stochastic volatility and changes in regime," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 100(4), pages 443-473, October.
    59. Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
    60. Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
    61. Luo, Jiawen & Chen, Langnan, 2020. "Realized volatility forecast with the Bayesian random compressed multivariate HAR model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 781-799.
    62. Kobayashi, Masahito, 2009. "Testing for jumps in the stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2597-2608.
    63. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility with Bayesian dynamic linear models," Papers 0802.0214, arXiv.org.
    64. Armine Bagyan & Donald Richards, 2023. "Hoffmann-Jørgensen Inequalities for Random Walks on the Cone of Positive Definite Matrices," Journal of Theoretical Probability, Springer, vol. 36(2), pages 1181-1202, June.
    65. Vo, Minh, 2011. "Oil and stock market volatility: A multivariate stochastic volatility perspective," Energy Economics, Elsevier, vol. 33(5), pages 956-965, September.
    66. Massimiliano Caporin & Michael McAleer, 2009. "A Scientific Classification of Volatility Models," Documentos de Trabajo del ICAE 2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    67. Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
    68. Nadia Boussaha & Faycal Hamdi & Saïd Souam, 2018. "Multivariate Periodic Stochastic Volatility Models: Applications to Algerian dinar exchange rates and oil prices modeling," Working Papers hal-04141780, HAL.
    69. Krause, Timothy A., 2019. "Hedge fund returns and uncertainty," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 597-601.
    70. Alexandre Subbotin, 2009. "Volatility Models: from Conditional Heteroscedasticity to Cascades at Multiple Horizons," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 94-138.
    71. Chen, Rongda & Xu, Jianjun, 2019. "Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model," Energy Economics, Elsevier, vol. 78(C), pages 379-391.
    72. Benjamin Poignard & Manabu Asai, 2023. "High‐dimensional sparse multivariate stochastic volatility models," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 4-22, January.
    73. Mike K. P. So & C. Y. Choi, 2009. "A threshold factor multivariate stochastic volatility model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 712-735.
    74. Ding, Liang & Vo, Minh, 2012. "Exchange rates and oil prices: A multivariate stochastic volatility analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 52(1), pages 15-37.
    75. Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
    76. Gribisch, Bastian, 2013. "A latent dynamic factor approach to forecasting multivariate stock market volatility," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79823, Verein für Socialpolitik / German Economic Association.
    77. Olson, Eric & J. Vivian, Andrew & Wohar, Mark E., 2014. "The relationship between energy and equity markets: Evidence from volatility impulse response functions," Energy Economics, Elsevier, vol. 43(C), pages 297-305.
    78. Karim Moussa, 2025. "On the Correlations in Linearized Multivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 25-021/V, Tinbergen Institute.
    79. Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2011. "Multivariate High-Frequency-Based Volatility (HEAVY) Models," Economics Papers 2011-W01, Economics Group, Nuffield College, University of Oxford.
    80. Ehouman, Yao Axel, 2020. "Volatility transmission between oil prices and banks' stock prices as a new source of instability: Lessons from the United States experience," Economic Modelling, Elsevier, vol. 91(C), pages 198-217.
    81. Jiří Witzany, 2011. "Estimating Correlated Jumps and Stochastic Volatilities," Working Papers IES 2011/35, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2011.
    82. Anna Pajor & Justyna Wróblewska, 2022. "Forecasting performance of Bayesian VEC-MSF models for financial data in the presence of long-run relationships," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 427-448, September.
    83. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
    84. Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Documentos de Trabajo del ICAE 2016-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    85. Amendola, Alessandra & Braione, Manuela & Candila, Vincenzo & Storti, Giuseppe, 2020. "A Model Confidence Set approach to the combination of multivariate volatility forecasts," International Journal of Forecasting, Elsevier, vol. 36(3), pages 873-891.
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    133. Hans J. Skaug & Jun Yu, 2009. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 15-2009, Singapore Management University, School of Economics.
    134. H. Peter Boswijk & Giuseppe Cavaliere & Luca De Angelis & A. M. Robert Taylor, 2022. "Adaptive information-based methods for determining the co-integration rank in heteroskedastic VAR models," Papers 2202.02532, arXiv.org.
    135. Peter Reinhard Hansen & Pawel Janus & Siem Jan Koopman, 2016. "Realized Wishart-GARCH: A Score-driven Multi-Asset Volatility Model," Tinbergen Institute Discussion Papers 16-061/III, Tinbergen Institute.
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    137. Philip L. H. Yu & W. K. Li & F. C. Ng, 2017. "The Generalized Conditional Autoregressive Wishart Model for Multivariate Realized Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(4), pages 513-527, October.
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    139. Benjamin Poignard & Jean-Davis Fermanian, 2014. "Dynamic Asset Correlations Based on Vines," Working Papers 2014-46, Center for Research in Economics and Statistics.
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    141. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
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    143. Valeriya Lakshina, 2014. "Is it possible to break the «curse of dimensionality»? Spatial specifications of multivariate volatility models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 61-78.
    144. Alexander Aue & Sebastian Kuhnert & Gregory Rice & Jeremy VanderDoes, 2026. "An operator-level ARCH Model," Papers 2603.10272, arXiv.org, revised Mar 2026.
    145. Jean-David Fermanian, 2017. "Recent Developments in Copula Models," Econometrics, MDPI, vol. 5(3), pages 1-3, July.
    146. Han Chen & Yijie Fei & Jun Yu, 2026. "Multivariate Stochastic Volatility Model with Block Correlations," Working Papers 202638, University of Macau, Faculty of Business Administration.
    147. Roberto Casarin & Domenico sartore, 2008. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 0816, University of Brescia, Department of Economics.
    148. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    149. Matteo Barigozzi & Marc Hallin, 2015. "Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series," Papers 1510.05118, arXiv.org, revised Jul 2016.
    150. Tsunehiro Ishihara & Yasuhiro Omori, 2017. "Portfolio optimization using dynamic factor and stochastic volatility: evidence on Fat-tailed errors and leverage," The Japanese Economic Review, Springer, vol. 68(1), pages 63-94, March.
    151. Yuta Kurose & Yasuhiro Omori, 2018. "Multiple-lock Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1075, CIRJE, Faculty of Economics, University of Tokyo.
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    153. Tetsuya Takaishi, 2021. "Time-varying properties of asymmetric volatility and multifractality in Bitcoin," Papers 2102.07425, arXiv.org.
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    155. Matteo Barigozzi & Marc Hallin & Stefano Soccorsi, 2017. "Identification of Global and National Shocks in International Financial Markets via General Dynamic Factor Models," Working Papers ECARES ECARES 2017-10, ULB -- Universite Libre de Bruxelles.
    156. Pawel Janus & André Lucas & Anne Opschoor & Dick J.C. van Dijk, 2014. "New HEAVY Models for Fat-Tailed Returns and Realized Covariance Kernels," Tinbergen Institute Discussion Papers 14-073/IV, Tinbergen Institute, revised 19 Aug 2015.
    157. Bucci, Andrea, 2017. "Forecasting realized volatility: a review," MPRA Paper 83232, University Library of Munich, Germany.
    158. Stanislav S Borysov & Alexander V Balatsky, 2014. "Cross-Correlation Asymmetries and Causal Relationships between Stock and Market Risk," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-11, August.
    159. Ahmed Hachicha & Fatma Hachicha & Afif Masmoudi, 2012. "A comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 479-493, May.
    160. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    161. Yingying Xu & Donald Lien, 2020. "Optimal futures hedging for energy commodities: An application of the GAS model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1090-1108, July.
    162. Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023. "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, vol. 232(2), pages 501-520.
    163. So, Mike K.P. & Chan, Thomas W.C. & Chu, Amanda M.Y., 2022. "Efficient estimation of high-dimensional dynamic covariance by risk factor mapping: Applications for financial risk management," Journal of Econometrics, Elsevier, vol. 227(1), pages 151-167.
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  254. Esfandiar Maasoumi & Michael McAleer, 2006. "Multivariate Stochastic Volatility: An Overview," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 139-144.

    Cited by:

    1. Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
    2. Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
    3. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    4. Casas, Isabel & Gao, Jiti, 2006. "Econometric estimation in long-range dependent volatility models: Theory and practice," MPRA Paper 11981, University Library of Munich, Germany, revised Aug 2007.
    5. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    6. Gregory Bauer & Keith Vorkink, 2007. "Multivariate Realized Stock Market Volatility," Staff Working Papers 07-20, Bank of Canada.
    7. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Working Papers 0505, VCU School of Business, Department of Economics.
    8. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility using state space models," Papers 0802.0223, arXiv.org.
    9. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    10. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility with Bayesian dynamic linear models," Papers 0802.0214, arXiv.org.
    11. Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
    12. Roxana Chiriac & Valeri Voev, 2008. "Modelling and Forecasting Multivariate Realized Volatility," CREATES Research Papers 2008-39, Department of Economics and Business Economics, Aarhus University.
    13. Mengheng Li & Marcel Scharth, 2018. "Leverage, asymmetry and heavy tails in the high-dimensional factor stochastic volatility model," Working Paper Series 49, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    14. Huang, Shian-Chang, 2011. "Wavelet-based multi-resolution GARCH model for financial spillover effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2529-2539.
    15. Gao, Jiti & McAleer, Michael & Allen, Dave, 2006. "Econometric modelling in finance and risk management: An overview," MPRA Paper 11978, University Library of Munich, Germany, revised Nov 2007.
    16. Michael McAller & Marcelo C. Medeiros, 2007. "A multiple regime smooth transition heterogeneous autoregressive model for long memory and asymmetries," Textos para discussão 544, Department of Economics PUC-Rio (Brazil).
    17. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.
    18. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    19. G. Mesters & S. J. Koopman & M. Ooms, 2016. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
    20. Roberto Casarin & Domenico sartore, 2008. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 0816, University of Brescia, Department of Economics.
    21. Manuabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010. "Modelling and Forecasting Noisy Realized Volatility," Working Papers in Economics 10/21, University of Canterbury, Department of Economics and Finance.
    22. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    23. Bucci, Andrea, 2017. "Forecasting realized volatility: a review," MPRA Paper 83232, University Library of Munich, Germany.
    24. Ahmed Hachicha & Fatma Hachicha & Afif Masmoudi, 2012. "A comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 38(4), pages 479-493, May.
    25. Wu, Ximing, 2010. "Exponential Series Estimator of multivariate densities," Journal of Econometrics, Elsevier, vol. 156(2), pages 354-366, June.

  255. Suhejla Hoti & Michael McAleer & Daniel Slottje, 2006. "Intellectual Property Litigation Activity In The Usa," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 715-729, September.

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    1. Ulrich Kaiser & Hans Christian Kongsted & Thomas Ronde, 2013. "Does the Mobility of R & D Labor Increase Innovation?," Working Papers 336, University of Zurich, Department of Business Administration (IBW).
    2. Pontus Braunerhjelm & Ding Ding & Per Thulin, 2018. "The knowledge spillover theory of intrapreneurship," Small Business Economics, Springer, vol. 51(1), pages 1-30, June.
    3. McAleer, Michael & Medeiros, Marcelo C. & Slottje, Daniel, 2008. "A neural network demand system with heteroskedastic errors," Journal of Econometrics, Elsevier, vol. 147(2), pages 359-371, December.
    4. Michael McAleer & Les Oxley, 2006. "Intellectual Property And Economic Incentives," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 483-491, September.
    5. Gu, Grace & Malik, Samreen & Pozzoli, Dario & Rocha, Vera, 2024. "Worker reallocation, firm innovation, and Chinese import competition," Journal of International Economics, Elsevier, vol. 151(C).
    6. Ann-Kathrine Ejsing & Ulrich Kaiser & Hans Christian Kongsted & Keld Laursen, 2013. "The Role of University Scientist Mobility for Industrial Innovation," Working Papers 332, University of Zurich, Department of Business Administration (IBW).
    7. Suhejla Hoti & Michael McAleer, 2006. "How Does Country Risk Affect Innovation? An Application To Foreign Patents Registered In The Usa," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 691-714, September.
    8. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
    9. Bos, Brenda & Broekhuizen, Thijs L.J. & de Faria, Pedro, 2015. "A dynamic view on secrecy management," Journal of Business Research, Elsevier, vol. 68(12), pages 2619-2627.
    10. Braunerhjelm, Pontus & Henrekson, Magnus, 2015. "An Innovation Policy Framework: Bridging the Gap between Industrial Dynamics and Growth," Working Paper Series 1054, Research Institute of Industrial Economics.
    11. Braunerhjelm, Pontus & Ding, Ding & Thulin, Per, 2020. "Labour market mobility, knowledge diffusion and innovation," European Economic Review, Elsevier, vol. 123(C).
    12. Kimberlee Weatherall & Elizabeth Webster, 2014. "Patent Enforcement: A Review Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 312-343, April.

  256. Clinton Watkins & Michael McAleer, 2006. "Pricing of non-ferrous metals futures on the London Metal Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 16(12), pages 853-880.
    See citations under working paper version above.
  257. Massimiliano Caporin & Michael McAleer, 2006. "Dynamic Asymmetric GARCH," Journal of Financial Econometrics, Oxford University Press, vol. 4(3), pages 385-412.

    Cited by:

    1. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    2. Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Working Papers in Economics 14/10, University of Canterbury, Department of Economics and Finance.
    3. Dominique Guegan & Bertrand K. Hassani, 2019. "Risk Measurement," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02119256, HAL.
    4. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    5. Mariana Petrova & Teodor Todorov, 2023. "Empirical Testing of Models of Autoregressive Conditional Heteroscedasticity Used for Prediction of the Volatility of Bulgarian Investment Funds," Risks, MDPI, vol. 11(11), pages 1-30, November.
    6. Beg, A.B.M. Rabiul Alam & Anwar, Sajid, 2012. "Sources of volatility persistence: A case study of the U.K. pound/U.S. dollar exchange rate returns," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 165-184.
    7. Billio, Monica & Caporin, Massimiliano, 2009. "A generalized Dynamic Conditional Correlation model for portfolio risk evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2566-2578.
    8. Ederington, Louis H. & Guan, Wei, 2010. "How asymmetric is U.S. stock market volatility?," Journal of Financial Markets, Elsevier, vol. 13(2), pages 225-248, May.
    9. Carl Lönnbark, 2016. "Asymmetry with respect to the memory in stock market volatilities," Empirical Economics, Springer, vol. 50(4), pages 1409-1419, June.
    10. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Rituparna Sen & Pulkit Mehrotra, 2016. "Modeling Jumps and Volatility of the Indian Stock Market Using High-Frequency Data," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 14(1), pages 137-150, June.
    12. Mazzotta, Stefano, 2008. "How important is asymmetric covariance for the risk premium of international assets?," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1636-1647, August.
    13. A. B. M. Rabiul Alam Beg & Sajid Anwar, 2014. "Detecting volatility persistence in GARCH models in the presence of the leverage effect," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2205-2213, December.
    14. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    15. Lönnbark, Carl, 2017. "Long vs. short term asymmetry in volatility and the term structure of risk," Finance Research Letters, Elsevier, vol. 23(C), pages 202-209.
    16. Chorro, Christophe & Guégan, Dominique & Ielpo, Florian & Lalaharison, Hanjarivo, 2018. "Testing for leverage effects in the returns of US equities," Journal of Empirical Finance, Elsevier, vol. 48(C), pages 290-306.
    17. Ederington, Louis H. & Guan, Wei, 2013. "The cross-sectional relation between conditional heteroskedasticity, the implied volatility smile, and the variance risk premium," Journal of Banking & Finance, Elsevier, vol. 37(9), pages 3388-3400.

  258. Watkins, Clinton & McAleer, Michael, 2005. "Related commodity markets and conditional correlations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 567-579.

    Cited by:

    1. John T. Cuddington & Arturo L. Va'squez Cordano, 2013. "Linkages between spot and futures prices: Tests of the Fama-French-Samuelson hypotheses," Working Papers 2013-09, Colorado School of Mines, Division of Economics and Business.
    2. Zhao, Yiran & Gao, Xiangyun & An, Haizhong & Xi, Xian & Sun, Qingru & Jiang, Meihui, 2020. "The effect of the mined cobalt trade dependence Network's structure on trade price," Resources Policy, Elsevier, vol. 65(C).

  259. Dora Marinova & Michael McAleer & Daniel Slottje, 2005. "Antitrust environment and innovation," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(3), pages 301-311, August.

    Cited by:

    1. World Bank & Organisation for Economic Co-operation and Development, 2017. "A Step Ahead," World Bank Publications - Books, The World Bank Group, number 27527, April.

  260. Michael McAleer & Daniel Slottje, 2005. "A new measure of innovation: The patent success ratio," Scientometrics, Springer;Akadémiai Kiadó, vol. 63(3), pages 421-429, June.

    Cited by:

    1. Balkrishna Rao, 2010. "How to Measure Innovation," Challenge, Taylor & Francis Journals, vol. 53(1), pages 109-125.
    2. Md. Dulal Hossain & Junghoon Moon & Hyoung Goo Kang & Sung Chul Lee & Young Chan Choe, 2012. "Mapping the dynamics of knowledge base of innovations of R&D in Bangladesh: triple helix perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 57-83, January.
    3. Ohsung Kwon, 2020. "A study on how startups approach sustainable development through intellectual property," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 613-625, July.
    4. Shankar Ghimire & Nawaraj Sharma Paudel, 2019. "R&D, FDI, and Innovation: Examination of the Patent Applications in the OECD Countries," Journal of Development Innovations, KarmaQuest International, vol. 3(2), pages 1-11, December.

  261. McAleer, Michael, 2005. "Automated Inference And Learning In Modeling Financial Volatility," Econometric Theory, Cambridge University Press, vol. 21(1), pages 232-261, February.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    2. Michael McAleer & Bernardo da Veiga & Suhejla Hoti, 2009. "Value-at-Risk for Country Risk Ratings," CARF F-Series CARF-F-169, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Hammoudeh, S.M. & Yuan, Y. & McAleer, M.J. & Thompson, M.A., 2009. "Precious Metals-Exchange Rate Volatility Transmissions and Hedging Strategies," Econometric Institute Research Papers EI 2009-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Chang, C-L. & Liu, C-P. & McAleer, M.J., 2016. "Volatility Spillovers for Spot, Futures, and ETF Prices in Energy and Agriculture," Econometric Institute Research Papers EI2016-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Tanchanok Khamkaew & Roengchai Tansuchat & Chia-Lin Chang & Michael McAleer, 2009. "Modelling Conditional Correlations in the Volatility of Asian Rubber Spot and Futures Returns," CARF F-Series CARF-F-175, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, revised Nov 2009.
    7. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Isabel Casas & Helena Veiga, 2021. "Exploring Option Pricing and Hedging via Volatility Asymmetry," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1015-1039, April.
    9. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    10. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Optimal Risk Management Before, During and After the 2008-09 Financial Crisis," CIRJE F-Series CIRJE-F-667, CIRJE, Faculty of Economics, University of Tokyo.
    11. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    13. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    14. Michael McAleer & Chia-Lin Chang & Roengchai Tansuchat, 2012. "Modelling Long Memory Volatility in Agricultural Commodity Futures Return," KIER Working Papers 817, Kyoto University, Institute of Economic Research.
    15. Anderson, T.W. & Kunitomo, Naoto & Matsushita, Yukitoshi, 2011. "On finite sample properties of alternative estimators of coefficients in a structural equation with many instruments," Journal of Econometrics, Elsevier, vol. 165(1), pages 58-69.
    16. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.
    17. Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
    18. Shelton Peiris & Manabu Asai & Michael McAleer, 2016. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," Tinbergen Institute Discussion Papers 16-044/III, Tinbergen Institute.
    19. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things You Should Know About the Dynamic Conditional Correlation Representation," Working Papers in Economics 13/21, University of Canterbury, Department of Economics and Finance.
    21. Syriopoulos, Theodore & Makram, Beljid & Boubaker, Adel, 2015. "Stock market volatility spillovers and portfolio hedging: BRICS and the financial crisis," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 7-18.
    22. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," CARF F-Series CARF-F-156, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    24. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2009. "Block Structure Multivariate Stochastic Volatility Models," CIRJE F-Series CIRJE-F-699, CIRJE, Faculty of Economics, University of Tokyo.
    25. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    26. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
    27. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Tinbergen Institute Discussion Papers 13-086/III, Tinbergen Institute.
    29. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    30. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    31. Fengming Qin & Junru Zhang & Zhaoyong Zhang, 2018. "RMB Exchange Rates and Volatility Spillover across Financial Markets in China and Japan," Risks, MDPI, vol. 6(4), pages 1-26, October.
    32. Pesaran, M. Hashem & Zaffaroni, Paolo, 2005. "Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management," CEPR Discussion Papers 5279, C.E.P.R. Discussion Papers.
    33. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CIRJE F-Series CIRJE-F-676, CIRJE, Faculty of Economics, University of Tokyo.
    34. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    35. Eduardo Mendes & Alvaro Veiga & MArcelo Cunha Medeiros, 2007. "Estimation And Asymptotic Theory For A New Class Of Mixture Models," Textos para discussão 538, Department of Economics PUC-Rio (Brazil).
    36. Hammoudeh, Shawkat M. & Yuan, Yuan & McAleer, Michael, 2009. "Shock and volatility spillovers among equity sectors of the Gulf Arab stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 829-842, August.
    37. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    38. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    39. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    40. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2016. "Connecting VIX and Stock Index ETF," Tinbergen Institute Discussion Papers 16-010/III, Tinbergen Institute, revised 23 Jan 2017.
    41. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Effect of Oil Price on Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-56, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    42. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    43. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    44. Rangel José Gonzalo & Engle Robert F., 2009. "The Factor-Spline-GARCH Model for High and Low Frequency Correlations," Working Papers 2009-03, Banco de México.
    45. Lam, K.P. & Ng, H.S., 2009. "Intra-daily information of range-based volatility for MEM-GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2625-2632.
    46. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.
    47. Medeiros, Marcelo C. & McAleer, Michael & Slottje, Daniel & Ramos, Vicente & Rey-Maquieira, Javier, 2008. "An alternative approach to estimating demand: Neural network regression with conditional volatility for high frequency air passenger arrivals," Journal of Econometrics, Elsevier, vol. 147(2), pages 372-383, December.
    48. Leh-Chyan So & Jun-Yang Yu, 2015. "IMPROVED DETECTION OF RARE-EVENT RISK OF A PORTFOLIO WITH U.S. REITs," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-25, December.
    49. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    50. Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CARF F-Series CARF-F-166, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    51. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    52. Huang, J. & Kobayashi, M. & McAleer, M.J., 2011. "Testing the Box-Cox Parameter for an Integrated Process," Econometric Institute Research Papers EI 2010-77, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    53. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    54. Manabu Asai & Chia-Lin Chang & Michael McAleer & Laurent Pauwels, 2021. "Asymptotic and Finite Sample Properties for Multivariate Rotated GARCH Models," Econometrics, MDPI, vol. 9(2), pages 1-21, May.
    55. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    56. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    57. Luc, BAUWENS & Genaro, SUCARRAT, 2006. "General to Specific Modelling of Exchange Rate Volatility : a Forecast Evaluation," Discussion Papers (ECON - Département des Sciences Economiques) 2006013, Université catholique de Louvain, Département des Sciences Economiques.
    58. Chia-Lin Chang & Michael McAleer & Christine Lim, 2010. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Working Papers in Economics 10/40, University of Canterbury, Department of Economics and Finance.
    59. Chu, L. & McAleer, M.J. & Chen, C-C., 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," Econometric Institute Research Papers EI 2012-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    60. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Evaluating the impact of market reforms on Value-at-Risk forecasts of Chinese A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(4), pages 453-475, September.
    61. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CARF F-Series CARF-F-219, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    62. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    63. Chang, C-L. & McAleer, M.J. & Wang, Y., 2016. "Testing Co-Volatility Spillovers for Natural Gas Spot, Futures and ETF Spot using Dynamic Conditional Covariances," Econometric Institute Research Papers EI2016-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    64. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    65. Phillip A. Cartwright & Natalija Riabko, 2019. "Do spot food commodity and oil prices predict futures prices?," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 153-194, July.
    66. M. Shelton Peiris & Manabu Asai, 2016. "Generalized Fractional Processes with Long Memory and Time Dependent Volatility Revisited," Econometrics, MDPI, vol. 4(3), pages 1-21, September.
    67. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
    68. John Francis T. Diaz, 2018. "Volatility Dynamics in the ASEAN– China Free Trade Agreement," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(3), pages 287-306, December.
    69. Billio, Monica & Caporin, Massimiliano, 2009. "A generalized Dynamic Conditional Correlation model for portfolio risk evaluation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2566-2578.
    70. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    71. Asai, Manabu & McAleer, Michael & Medeiros, Marcelo C., 2012. "Modelling and forecasting noisy realized volatility," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 217-230, January.
    72. Huang, Biing-Wen & Chen, Meng-Gu & Chang, Chia-Lin & McAleer, Michael, 2009. "Modelling risk in agricultural finance: Application to the poultry industry in Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1472-1487.
    73. Chang, C-L. & Chen, C-C. & McAleer, M.J. & Chen, P-Y., 2013. "Modelling the Effects of Oil Prices on Global Fertilizer Prices and Volatility," Econometric Institute Research Papers EI 2013-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    74. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    75. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2008. "On Finite Sample Properties of Alternative Estimators of Coefficients in a Structural Equation with Many Instruments," CIRJE F-Series CIRJE-F-577, CIRJE, Faculty of Economics, University of Tokyo.
    76. Beatriz Catalan & F. Javier Trivez, 2007. "Forecasting volatility in GARCH models with additive outliers," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 591-596.
    77. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CARF F-Series CARF-F-167, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    78. Asai, M. & McAleer, M.J., 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Econometric Institute Research Papers EI2016-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    79. Suhejla Hoiti & Esfandiar Maasoumi & Michael McAleer & Daniel Slottje, 2005. "Measuring the Volatility in U.S. Treasury Benchmarks and Debt Instruments," DEA Working Papers 14, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    80. Yang, Yung-Lieh & Chang, Chia-Lin, 2008. "A double-threshold GARCH model of stock market and currency shocks on stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 458-474.
    81. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    82. Xiaoyi Shen & Albert K. Tsui & Zhaoyong Zhang, 2019. "Volatility Timing in CPF Investment Funds in Singapore: Do They Outperform Non-CPF Funds?," Risks, MDPI, vol. 7(4), pages 1-16, October.
    83. Manabu Asai, 2013. "Heterogeneous Asymmetric Dynamic Conditional Correlation Model with Stock Return and Range," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 469-480, August.
    84. da Veiga, Bernardo & Chan, Felix & McAleer, Michael, 2008. "Modelling the volatility transmission and conditional correlations between A and B shares in forecasting value-at-risk," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 155-171.
    85. Chen, Qian & Gerlach, Richard & Lu, Zudi, 2012. "Bayesian Value-at-Risk and expected shortfall forecasting via the asymmetric Laplace distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3498-3516.
    86. Kobayashi, Masahito, 2009. "Testing for jumps in the stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2597-2608.
    87. Abdou Kâ Diongue & Dominique Guegan & Rodney C. Wolff, 2008. "Exact Maximum Likelihood estimation for the BL-GARCH model under elliptical distributed innovations," Post-Print halshs-00270719, HAL.
    88. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2014. "A Tourism Conditions Index," Tinbergen Institute Discussion Papers 14-007/III, Tinbergen Institute.
    89. Jian Huang & Masahito Kobayashi & Michael McAleer, 2009. "Testing the Box-Cox Parameter in an Integrated Process," CIRJE F-Series CIRJE-F-661, CIRJE, Faculty of Economics, University of Tokyo.
    90. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    91. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's Major Trading Partners across the GFC," Tinbergen Institute Discussion Papers 14-106/III, Tinbergen Institute.
    92. Massimiliano Caporin & Michael McAleer, 2013. "Ten Things you should know about DCC," Tinbergen Institute Discussion Papers 13-048/III, Tinbergen Institute.
    93. Withers, C.S. & Krouse, D.P. & Pearson, C.P. & Nadarajah, S., 2008. "Modelling time series when mean and variability both change," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 57-63.
    94. Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
    95. Jerzy P. Rydlewski & Ma{l}gorzata Snarska, 2012. "On Geometric Ergodicity of Skewed - SVCHARME models," Papers 1209.1544, arXiv.org.
    96. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    97. Asai, Manabu & McAleer, Michael, 2015. "Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance," Journal of Econometrics, Elsevier, vol. 189(2), pages 251-262.
    98. Afees A. Salisu & Kazeem Isah, 2017. "Modeling the spillovers between stock market and money market in Nigeria," Working Papers 023, Centre for Econometric and Allied Research, University of Ibadan.
    99. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return," CARF F-Series CARF-F-157, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    100. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2009. "How Volatile is ENSO?," CIRJE F-Series CIRJE-F-635, CIRJE, Faculty of Economics, University of Tokyo.
    101. Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Risk Spillovers in Returns for Chinese and International Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-031/III, Tinbergen Institute.
    102. Chang, C-L. & McAleer, M.J. & Tian, J., 2016. "Modelling and Testing Volatility Spillovers in Oil and Financial Markets for USA, UK and China," Econometric Institute Research Papers EI2016-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    103. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.
    104. Chan, F. & McAleer, M.J. & Medeiros, M.C., 2011. "Structure and Asymptotic theory for Nonlinear Models with GARCH Errors," Econometric Institute Research Papers EI 2010-79, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    105. Pesaran, M. Hashem & Schleicher, Christoph & Zaffaroni, Paolo, 2009. "Model averaging in risk management with an application to futures markets," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 280-305, March.
    106. McAleer, Michael & Nam, Jason Chee Wei, 2005. "Testing for contagion in ASEAN exchange rates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 517-525.
    107. Massimiliano Caporin & Michael McAleer, 2008. "Thresholds, News Impact Surfaces and Dynamic Asymmetric Multivariate GARCH," "Marco Fanno" Working Papers 0064, Dipartimento di Scienze Economiche "Marco Fanno".
    108. Cook, Steven, 2008. "Joint maximum likelihood estimation of unit root testing equations and GARCH processes: Some finite-sample issues," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 109-116.
    109. Caporin, Massimiliano & Jimenez-Martin, Juan-Angel & Gonzalez-Serrano, Lydia, 2014. "Currency hedging strategies in strategic benchmarks and the global and Euro sovereign financial crises," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 159-177.
    110. Asai, M. & McAleer, M.J., 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Econometric Institute Research Papers EI 2010-76, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    111. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    112. Ho, Kin-Yip & Tsui, Albert K. & Zhang, Zhaoyong, 2009. "Volatility dynamics of the US business cycle: A multivariate asymmetric GARCH approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2856-2868.
    113. Manabu Asai & Massimiliano Caporin & Michael McAleer, 2013. "Forecasting Value-at-Risk using Block Structure Multivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 13-073/III, Tinbergen Institute.
    114. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    115. Marcelo C. Carvalho & Marco Aurélio S. Freire & Marcelo Cunha Medeiros & Leonardo R. Souza, 2006. "Modeling and Forecasting the Volatility of Brazilian Asset Returns: a Realized Variance Approach," Brazilian Review of Finance, Brazilian Society of Finance, vol. 4(1), pages 55-77.
    116. Hakim, M.S. & McAleer, M.J., 2009. "Dynamic Conditional Correlations in International Stock, Bond and Foreign Exchange Markets: Emerging Markets Evidence," Econometric Institute Research Papers EI 2009-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    117. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2008. "Is Greater China a currency union?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 319-327.
    118. Leung, Pui-Lam & Wong, Wing-Keung, 2008. "Three-factor profile analysis with GARCH innovations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 1-8.
    119. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine News and Volatility: The Dow Jones Industrial Average and the TRNA Sentiment Series," Tinbergen Institute Discussion Papers 14-014/III, Tinbergen Institute.
    120. Mai, Te-Ke & Foley, Aoife M. & McAleer, Michael & Chang, Chia-Lin, 2022. "Impact of COVID-19 on returns-volatility spillovers in national and regional carbon markets in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 169(C).
    121. Rahul Deora & Duc Khuong Nguyen, 2014. "Time-scale comovement between the Indian and world stock markets," Working Papers 2014-242, Department of Research, Ipag Business School.
    122. Asai, Manabu & McAleer, Michael, 2015. "Leverage and feedback effects on multifactor Wishart stochastic volatility for option pricing," Journal of Econometrics, Elsevier, vol. 187(2), pages 436-446.
    123. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    124. Robert L. Basmann & Michael McAleer & Daniel Slottje, 2007. "Patent Activity and Technical Change," DEA Working Papers 27, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    125. Aknouche, Abdelhakim & Bentarzi, Mohamed, 2008. "On the existence of higher-order moments of periodic GARCH models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3262-3268, December.
    126. Alvaro Escribano & Genaro Sucarrat, 2011. "Automated model selection in finance: General-to-speci c modelling of the mean and volatility speci cations," Working Papers 2011-09, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
    127. Chang, Chia-Lin & González-Serrano, Lydia & Jimenez-Martin, Juan-Angel, 2013. "Currency hedging strategies using dynamic multivariate GARCH," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 164-182.
    128. Chia-Lin Chang & Tai-Lin Hsieh & Michael McAleer, 2018. "Connecting VIX and Stock Index ETF with VAR and Diagonal BEKK," JRFM, MDPI, vol. 11(4), pages 1-25, September.
    129. MArcelo Carvalho & MArco Aurelio Freire & Marcelo Cunha Medeiros & Leonardo Souza, 2006. "Modeling and forecasting the volatility of Brazilian asset returns," Textos para discussão 530, Department of Economics PUC-Rio (Brazil).
    130. Wong, Wing-Keung & McAleer, Michael, 2009. "Mapping the Presidential Election Cycle in US stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(11), pages 3267-3277.
    131. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," Econometric Institute Research Papers EI 2010-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    132. Caporin, M. & McAleer, M.J., 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Econometric Institute Research Papers EI 2011-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    133. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," MPRA Paper 44395, University Library of Munich, Germany.
    134. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    135. Phillip A. Cartwright & Natalija Riabko, 2016. "Further evidence on the explanatory power of spot food and energy commodities market prices for futures prices," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 579-605, October.
    136. Huang, Shian-Chang, 2011. "Wavelet-based multi-resolution GARCH model for financial spillover effects," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(11), pages 2529-2539.
    137. Charalampos Basdekis & Apostolos Christopoulos & Alexandros Gkolfinopoulos & Ioannis Katsampoxakis, 2022. "VaR as a risk management framework for the spot and futures tanker markets," Operational Research, Springer, vol. 22(4), pages 4287-4352, September.
    138. Michael McAleer & Riaz Shareef & Bernardo da Veiga, 2005. "Managing Value-at-Risk in Daily Tourist Tax Revenues for the Maldives," DEA Working Papers 11, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    139. Hakim, Abdul & McAleer, Michael, 2009. "Forecasting conditional correlations in stock, bond and foreign exchange markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2830-2846.
    140. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    141. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    142. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    143. So, Mike K.P. & Chen, Cathy W.S. & Lee, Jen-Yu & Chang, Yi-Ping, 2008. "An empirical evaluation of fat-tailed distributions in modeling financial time series," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 96-108.
    144. Genaro Sucarrat & Alvaro Escribano, 2012. "Automated Model Selection in Finance: General-to-Specific Modelling of the Mean and Volatility Specifications," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(5), pages 716-735, October.
    145. Lanza, Alessandro & Manera, Matteo & McAleer, Michael, 2006. "Modeling dynamic conditional correlations in WTI oil forward and futures returns," Finance Research Letters, Elsevier, vol. 3(2), pages 114-132, June.
    146. Manabu Asai & Michael McAleer, 2005. "Asymmetric Multivariate Stochastic Volatility," DEA Working Papers 12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    147. Hong Miao & Sanjay Ramchander & Marc W. Simpson, 2011. "Return and Volatility Transmission in U.S. Housing Markets," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(4), pages 701-741, December.
    148. Asai, Manabu, 2009. "Bayesian analysis of stochastic volatility models with mixture-of-normal distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2579-2596.
    149. Gao, Jiti & McAleer, Michael & Allen, David E., 2008. "Econometric modelling in finance and risk management: An overview," Journal of Econometrics, Elsevier, vol. 147(1), pages 1-4, November.
    150. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    151. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    152. Gabriel, Vítor, 2015. "Sensitivity, Persistence and Asymmetric Effects in International Stock Market Volatility during the Global Financial Crisis || Efectos de sensibilidad, persistencia y asimetría en la volatilidad de los mercados bursátiles internacionales?en el entorn," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 19(1), pages 42-65, June.
    153. Abdou Kâ Diongue & Dominique Guegan & Rodney C. Wolff, 2010. "BL-GARCH model with elliptical distributed innovations," Post-Print halshs-00368340, HAL.
    154. Esta Lestari, 2012. "Is Indonesia More Financially Linked To The World Since The Asian Financial Crises?," RIEBS, Economic Research Center, Indonesian Institute of Sciences (P2E-LIPI), vol. 3(2), pages 1-14, November.
    155. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    156. Bartolomé, Ana & McAleer, Michael & Ramos, Vicente & Rey-Maquieira, Javier, 2009. "A risk map of international tourist regions in Spain," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2741-2758.
    157. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    158. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    159. Allen, David & Chan, Felix & McAleer, Michael & Peiris, Shelton, 2008. "Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks," Journal of Econometrics, Elsevier, vol. 147(1), pages 163-185, November.
    160. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.
    161. Ming Lin & Changjiang Liu & Linlin Niu, 2013. "Bayesian Estimation of Wishart Autoregressive Stochastic Volatility Model," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    162. Asai, Manabu & McAleer, Michael, 2009. "The structure of dynamic correlations in multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 150(2), pages 182-192, June.
    163. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    164. Huang, Jian & Kobayashi, Masahito & McAleer, Michael, 2012. "Testing for the Box–Cox parameter for an integrated process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 1-9.
    165. Chang, C-L. & Hsieh, T-L. & McAleer, M.J., 2016. "How are VIX and Stock Index ETF Related?," Econometric Institute Research Papers EI2016-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    166. H. Peter Boswijk & Giuseppe Cavaliere & Luca De Angelis & A. M. Robert Taylor, 2022. "Adaptive information-based methods for determining the co-integration rank in heteroskedastic VAR models," Papers 2202.02532, arXiv.org.
    167. Hoti, Suhejla & McAleer, Michael & Pauwels, Laurent L., 2008. "Multivariate volatility in environmental finance," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 189-199.
    168. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    169. Asai, M. & Chang, C-L. & McAleer, M.J. & Pauwels, L., 2018. "Asymptotic Theory for Rotated Multivariate GARCH Models," Econometric Institute Research Papers EI2018-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    170. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    171. Shuangzhe Liu & Chris Heyde & Wing-Keung Wong, 2011. "Moment matrices in conditional heteroskedastic models under elliptical distributions with applications in AR-ARCH models," Statistical Papers, Springer, vol. 52(3), pages 621-632, August.
    172. Marcelo Cunha Medeiros & Felix Chan & Michael McAller, 2005. "Structure and asymptotic theory for STAR(1)-GARCH(1,1) models," Textos para discussão 506, Department of Economics PUC-Rio (Brazil).
    173. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    174. Smile Dube, 2019. "GARCH Modelling of Conditional Correlations and Volatility of Exchange rates in BRICS Countries," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(1), pages 1-7.
    175. Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
    176. Sucarrat, Genaro & Escribano, Álvaro, 2009. "Automated financial multi-path GETS modelling," UC3M Working papers. Economics we093620, Universidad Carlos III de Madrid. Departamento de Economía.
    177. Eric Hillebrand & Marcelo Cunha Medeiros, 2010. "Asymmetries, breaks, and long-range dependence: An estimation framework for daily realized volatility," Textos para discussão 578, Department of Economics PUC-Rio (Brazil).
    178. Bonnier, Jean-Baptiste, 2022. "Forecasting crude oil volatility with exogenous predictors: As good as it GETS?," Energy Economics, Elsevier, vol. 111(C).
    179. Lu, Hengzhen & Zhu, Xiaoyu & Wang, Jianli & Yick, Ho Yin, 2021. "Share pledge transactions as an investor sentiment indicator - Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 230-238.
    180. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.
    181. Esta Lestari, 2010. "Volatility Spillover Effects in East Asian Capital Markets: A Case Study of the Real Estate Sectors," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 58, pages 57-82, April.
    182. Radalj, Kim F. & McAleer, Michael, 2005. "Speculation and destabilisation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 151-161.
    183. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.
    184. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    185. Liu, Shuangzhe & Neudecker, Heinz, 2009. "On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2556-2565.
    186. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
    187. Hsu, Shu-Han & Sheu, Chwen & Yoon, Jiho, 2021. "Risk spillovers between cryptocurrencies and traditional currencies and gold under different global economic conditions," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    188. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    189. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    190. Chen, P-Y. & Chang, C-L. & Chen, C-C. & McAleer, M.J., 2010. "Modeling the Volatility in Global Fertilizer Prices," Econometric Institute Research Papers EI 2010-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  262. Manabu Asai & Michael McAleer, 2005. "Dynamic Asymmetric Leverage in Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 317-332.

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    2. Kenichiro McAlinn & Asahi Ushio & Teruo Nakatsuma, 2020. "Volatility forecasts using stochastic volatility models with nonlinear leverage effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 143-154, March.
    3. León Beleña & Ernesto Curbelo & Luca Martino & Valero Laparra, 2024. "Second-Moment/Order Approximations by Kernel Smoothers with Application to Volatility Estimation," Mathematics, MDPI, vol. 12(9), pages 1-15, May.
    4. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Zea Bermúdez, Patricia de & Marín Díazaraque, Juan Miguel & Veiga, Helena, 2019. "Data cloning estimation for asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 28214, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    8. Asai, Manabu & McAleer, Michael & de Veiga, Bernardo, 2008. "Portfolio single index (PSI) multivariate conditional and stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 209-214.
    9. Alexander Tsyplakov, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models (in Russian)," Quantile, Quantile, issue 8, pages 69-122, July.
    10. Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CARF F-Series CARF-F-166, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    11. M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Economic Research Association, vol. 8(2), pages 19-52, September.
    12. Lee, Cheol Woo & Kang, Kyu Ho, 2023. "Estimating and testing skewness in a stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 72(C), pages 445-467.
    13. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CARF F-Series CARF-F-167, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    15. Aycan HEPSAG, 2016. "Asymmetric stochastic volatility in central and eastern European stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(607), S), pages 135-144, Summer.
    16. Jerzy P. Rydlewski & Ma{l}gorzata Snarska, 2012. "On Geometric Ergodicity of Skewed - SVCHARME models," Papers 1209.1544, arXiv.org.
    17. David Chan & Robert Kohn & Chris Kirby, 2006. "Multivariate Stochastic Volatility Models with Correlated Errors," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 245-274.
    18. McAleer, Michael & Medeiros, Marcelo C., 2008. "A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries," Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
    19. So, Mike K.P. & Choi, C.Y., 2008. "A multivariate threshold stochastic volatility model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 306-317.
    20. Umberto Triacca & Fulvia Focker, 2014. "Estimating overnight volatility of asset returns by using the generalized dynamic factor model approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 37(2), pages 235-254, October.
    21. Manabu Asai & Michael McAleer, 2005. "Asymmetric Multivariate Stochastic Volatility," DEA Working Papers 12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    22. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    23. George Kapetanios & Elias Tzavalis, 2006. "Stochastic Volatility Driven by Large Shocks," Working Papers 568, Queen Mary University of London, School of Economics and Finance.
    24. Tsiakas, Ilias, 2008. "Overnight information and stochastic volatility: A study of European and US stock exchanges," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 251-268, February.
    25. Tomasz Skoczylas, 2015. "Bivariate GARCH models for single asset returns," Working Papers 2015-03, Faculty of Economic Sciences, University of Warsaw.
    26. Li, Johnny Siu-Hang & Ng, Andrew C.Y. & Chan, Wai-Sum, 2015. "Managing financial risk in Chinese stock markets: Option pricing and modeling under a multivariate threshold autoregression," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 217-230.
    27. Fulvia Focker & Umberto Triacca, 2006. "A new proxy of the average volatility of a basket of returns: A Monte Carlo study," Economics Bulletin, AccessEcon, vol. 3(15), pages 1-14.
    28. Asai, Manabu, 2008. "Autoregressive stochastic volatility models with heavy-tailed distributions: A comparison with multifactor volatility models," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 332-341, March.
    29. Wang, Joanna J.J., 2012. "On asymmetric generalised t stochastic volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(11), pages 2079-2095.
    30. Djennad, Abdelmajid & Rigby, Robert & Stasinopoulos, Dimitrios & Voudouris, Vlasios & Eilers, Paul, 2015. "Beyond location and dispersion models: The Generalized Structural Time Series Model with Applications," MPRA Paper 62807, University Library of Munich, Germany.
    31. Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
    32. Cathy Chen & Feng-Chi Liu & Mike So, 2013. "Threshold variable selection of asymmetric stochastic volatility models," Computational Statistics, Springer, vol. 28(6), pages 2415-2447, December.
    33. Mao, Xiuping & Ruiz, Esther & Veiga, Helena, 2017. "Threshold stochastic volatility: Properties and forecasting," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1105-1123.
    34. Caporin, M. & McAleer, M.J., 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-57, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  263. Michael McAleer & Les Oxley, 2005. "The Ten Commandments for Academics," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 823-826, December.

    Cited by:

    1. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    2. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.
    3. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    4. Chang, C-L. & McAleer, M.J. & Lim, C., 2010. "Modelling the volatility in short and long haul Japanese tourist arrivals to New Zealand and Taiwan," Econometric Institute Research Papers EI 2010-47, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Stuart Sayer, 2009. "Issues In Finance: Credit, Crises And Policies – An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 795-797, December.
    7. Shawkat Hammoudeh & Farooq Malik & Michael McAleer, 2010. "Risk Management of Precious Metals," Working Papers in Economics 10/37, University of Canterbury, Department of Economics and Finance.
    8. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
    9. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Michael McAleer, 2005. "The ten commandments for ranking university quality," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 649-653, September.
    11. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CIRJE F-Series CIRJE-F-644, CIRJE, Faculty of Economics, University of Tokyo.
    12. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. McAleer, M.J. & Oxley, L., 2010. "Ten Things We Should Know About Time Series," Econometric Institute Research Papers EI 2010-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  264. Hu, Baiding & McAleer, Michael, 2005. "Estimation of Chinese agricultural production efficiencies with panel data," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 474-483.

    Cited by:

    1. Kui-Wai Li & Tung Liu & Lihong Yun, 2007. "Technology Progress, Efficiency, and Scale of Economy in Post-reform China," Working Papers 200701, Ball State University, Department of Economics, revised Apr 2007.
    2. Li, Kui-Wai & Liu, Tung, 2011. "Economic and productivity growth decomposition: An application to post-reform China," Economic Modelling, Elsevier, vol. 28(1), pages 366-373.
    3. Haonan Zhang & Zheng Chen & Jieyong Wang & Haitao Wang & Yingwen Zhang, 2023. "Spatial-Temporal Pattern of Agricultural Total Factor Productivity Change (Tfpch) in China and Its Implications for Agricultural Sustainable Development," Agriculture, MDPI, vol. 13(3), pages 1-17, March.
    4. Vida Varahrami & Maryam Sarfaraz, 2017. "The Effects of Foreign Trade, Energy Consumption and Human Capital on GDP in Several Candidate Developed Countries and Developing Countries," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(3), pages 543-566, Summer.
    5. Zhou, Xianbo & Li, Kui-Wai & Li, Qin, 2010. "An Analysis on Technical Efficiency in Post-reform China," MPRA Paper 41034, University Library of Munich, Germany.
    6. Shiwei LIU & Pingyu ZHANG & HE Xiuli & LI Jing, 2015. "Efficiency change in North-East China agricultural sector: A DEA approach," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(11), pages 522-532.
    7. Akbar, Muhammad & Jamil, Faisal, 2012. "Monetary and fiscal policies' effect on agricultural growth: GMM estimation and simulation analysis," Economic Modelling, Elsevier, vol. 29(5), pages 1909-1920.
    8. Effendy & M Fardhal Pratama & Rustam Abdul Rauf & Made Antara & Muhammad Basir-Cyio & Mahfudz & Muhardi, 2019. "Factors influencing the efficiency of cocoa farms: A study to increase income in rural Indonesia," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-15, April.
    9. Kui-Wai Li & Tung Liu & Lihong Yun, 2008. "Decomposition of Economic and Productivity Growth in Post-reform China," Working Papers 200806, Ball State University, Department of Economics, revised Dec 2008.
    10. Laura Brad & Gabriel Popescu & Alina Zaharia & Maria Claudia Diaconeasa & Daniela Mihai, 2018. "Exploring the Road to Agricultural Sustainability by Assessing the EU Debt Influencing Factors," Sustainability, MDPI, vol. 10(7), pages 1-46, July.

  265. Michael McAleer, 2005. "The ten commandments for ranking university quality," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 649-653, September.

    Cited by:

    1. Joseph Macri & Michael McAleer & Dipendra Sinha, 2009. "On the Robustness of Alternative Rankings Methodologies For Australian and New Zealand Economics Departments," CIRJE F-Series CIRJE-F-660, CIRJE, Faculty of Economics, University of Tokyo.
    2. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.
    3. Joseph Macri & Michael McAleer & Dipendra Sinha, 2010. "On the robustness of alternative rankings methodologies: Australian and New Zealand economics departments, 1988 to 2002," Applied Economics, Taylor & Francis Journals, vol. 42(10), pages 1257-1268.
    4. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Stuart Sayer, 2009. "Issues In Finance: Credit, Crises And Policies – An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 795-797, December.
    6. Michael McAleer & Les Oxley, 2005. "The Ten Commandments for Academics," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 823-826, December.
    7. Joseph Macri & Dipendra Sinha, 2006. "Rankings Methodology for International Comparisons of Institutions and Individuals: an Application to Economics in Australia and New Zealand," Journal of Economic Surveys, Wiley Blackwell, vol. 20(1), pages 111-156, February.
    8. McAleer, M.J. & Oxley, L., 2010. "Ten Things We Should Know About Time Series," Econometric Institute Research Papers EI 2010-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  266. Suhejla Hoti & Michael McAleer & Riaz Shareef, 2005. "Modelling Country Risk and Uncertainty in Small Island Tourism Economies," Tourism Economics, , vol. 11(2), pages 159-183, June.

    Cited by:

    1. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Jorge V Pérez-Rodríguez & Juan M Hernández & Julián Andrada-Félix, 2024. "Modelling prices and volatilities in the sharing economy," Tourism Economics, , vol. 30(5), pages 1189-1215, August.
    3. Jamel Boukhatem, 2024. "The effects of financial risk components on local-currency bond markets: theory and empirical evidence," SN Business & Economics, Springer, vol. 4(4), pages 1-19, April.
    4. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    5. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    6. Jose Angelo Divino & Michael McAleer, 2009. "Modelling the Growth and Volatility in Daily International Mass Tourism to Peru," Documentos de Trabajo del ICAE 2009-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Chia-Lin Chang & Michael McAleer & Dan Slottje, 2009. "Modelling International Tourist Arrivals and Volatility: An Application to Taiwan," Documentos de Trabajo del ICAE 2009-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Li Sheng, 2012. "Rethinking the impacts of foreign investors on urban development: the city of Macao," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 73-86, August.
    9. Edson VENGESAI & Adefemi A. OBALADE & Paul-Francois MUZINDUTSI, 2021. "Country Risk Dynamics and Stock Market Volatility: Evidence from the JSE Cross-Sector Analysis," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 5(2), pages 63-84.
    10. Michael McAleer, 2015. "The Fundamental Equation in Tourism Finance," JRFM, MDPI, vol. 8(4), pages 1-6, December.
    11. Oliver Cruz-Milan & Sergio Lagunas-Puls, 2021. "Effects of COVID-19 on Variations of Taxpayers in Tourism-Reliant Regions: The Case of the Mexican Caribbean," JRFM, MDPI, vol. 14(12), pages 1-23, December.
    12. Manel Frifita & Zouhair Hadhek, 2025. "Do Country Risks Matter for Tourism efficiency? Evidence from Mediterranean countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5093-5142, March.
    13. Jorge V Pérez-Rodríguez & María Santana-Gallego, 2020. "Modelling tourism receipts and associated risks, using long-range dependence models," Tourism Economics, , vol. 26(1), pages 70-96, February.
    14. Dinesh Jaisinghani & Muskan Kaur & Mahesh Joshi & Sharad Sharma & Abdullahi D Ahmed, 2024. "Impact of political risk and economic growth on the tourism industry: Evidence from a dynamic threshold panel model," Tourism Economics, , vol. 30(6), pages 1448-1464, September.
    15. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.

  267. Radalj, Kim F. & McAleer, Michael, 2005. "Speculation and destabilisation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 151-161.

    Cited by:

    1. He, Ling-Yun & Fan, Ying & Wei, Yi-Ming, 2009. "Impact of speculator's expectations of returns and time scales of investment on crude oil price behaviors," Energy Economics, Elsevier, vol. 31(1), pages 77-84, January.

  268. Hoti, Suhejla & McAleer, Michael & Chan, Felix, 2005. "Modelling the spillover effects in the volatility of atmospheric carbon dioxide concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 46-56.

    Cited by:

    1. Soultanaeva, Albina, 2008. "Impact of Political News on the Baltic State Stock Markets," Umeå Economic Studies 735, Umeå University, Department of Economics.

  269. Matteo Manera & Michael McAleer, 2005. "Testing Multiple Non‐Nested Factor Demand Systems," Bulletin of Economic Research, Wiley Blackwell, vol. 57(1), pages 37-66, January.
    See citations under working paper version above.
  270. McAleer, Michael & Nam, Jason Chee Wei, 2005. "Testing for contagion in ASEAN exchange rates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 517-525.

    Cited by:

    1. Gourène, Grakolet Arnold Zamereith & Mendy, Pierre, 2014. "Beginning an African Stock Markets Integration? A Wavelet Analysis," MPRA Paper 76048, University Library of Munich, Germany.
    2. Kamel Malik Bensafta & Gervasio Semedo, 2014. "Transmission de la volatilité et Central-Banking," Working Papers halshs-01012058, HAL.
    3. Aymen Ben Rejeb & Adel Boughrara, 2015. "Financial integration in emerging market economies: Effects on volatility transmission and contagion," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(3), pages 161-179, September.
    4. Essahbi Essaadi & Jamel Jouini & Wajih Khallouli, 2004. "The Asian Crisis Contagion: A Dynamic Correlation Approach Analysis," Post-Print halshs-00201220, HAL.
    5. Gourène, Grakolet Arnold Zamereith & Mendy, Pierre, 2015. "Oil Prices and African Stock Markets Co-movement: A Time and Frequency Analysis," MPRA Paper 75852, University Library of Munich, Germany.
    6. Kamel Malik Bensafta & Gervasio Semedo, 2009. "De la transmission de la volatilité à la contagion entre marchés boursiers : l’éclairage d’un modèle VAR non linéaire avec bris structurels en variance," L'Actualité Economique, Société Canadienne de Science Economique, vol. 85(1), pages 13-76.
    7. Wajih Khallouli, 2008. "Shift-Contagion in Middle East and North Africa Stock Markets," Working Papers 420, Economic Research Forum, revised 06 Jan 2008.
    8. Gourène, Grakolet Arnold Zamereith & Mendy, Pierre & Ake N'gbo, Gilbert Marie, 2017. "Multiple time-xcales analysis of global stock markets spillovers effects in African stock markets," MPRA Paper 77632, University Library of Munich, Germany.
    9. Aymen Ben Rejeb, 2013. "Volatility spillovers and contagion: an empirical analysis of structural changes in emerging market volatility," Economics Bulletin, AccessEcon, vol. 33(1), pages 56-71.
    10. Jianxu Liu & Mengjiao Wang & Songsak Sriboonchitta, 2019. "Examining the Interdependence between the Exchange Rates of China and ASEAN Countries: A Canonical Vine Copula Approach," Sustainability, MDPI, vol. 11(19), pages 1-20, October.
    11. Kamel Malik BENSAFTA & Gervasio SEMEDO, 2013. "Transmission de la volatilité et central banking : quelles réactions durant la crise des subprimes ?," LEO Working Papers / DR LEO 1694, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

  271. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.
    See citations under working paper version above.
  272. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.

    Cited by:

    1. Bedford, Anna & Ma, Le & Ma, Nelson & Vojvoda, Kristina, 2022. "Australian innovation: Patent database construction and first evidence," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    2. Suhejla Hoti & Michael McAleer, 2006. "How Does Country Risk Affect Innovation? An Application To Foreign Patents Registered In The Usa," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 691-714, September.
    3. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.

  273. Hu, Baiding & McAleer, Michael, 2004. "Input–output structure and growth in China," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 193-202.
    See citations under working paper version above.
  274. Zhaoyong Zhang & Kiyotaka Sato & Michael McAleer, 2004. "Is a monetary union feasible for East Asia?," Applied Economics, Taylor & Francis Journals, vol. 36(10), pages 1031-1043.

    Cited by:

    1. Lee, Grace H.Y. & Koh, Sharon G.M., 2012. "The prospects of a monetary union in East Asia," Economic Modelling, Elsevier, vol. 29(2), pages 96-102.
    2. Vu Tuan Khai, 2009. "Re-examining Symmetry of Shocks for East Asia: Results Using a VAR with Sign Restrictions," Global COE Hi-Stat Discussion Paper Series gd08-042, Institute of Economic Research, Hitotsubashi University.
    3. Nagayasu, Jun, 2010. "Macroeconomic interdependence in East Asia," Japan and the World Economy, Elsevier, vol. 22(4), pages 219-227, December.
    4. Eiji Ogawa & Kentaro Kawasaki, 2011. "Monetary Integration in East Asia," Chapters, in: Masahisa Fujita & Ikuo Kuroiwa & Satoru Kumagai (ed.), The Economics of East Asian Integration, chapter 10, Edward Elgar Publishing.
    5. Boldea, O. & Engwerda, J.C. & Michalak, T. & Plasmans, J.E.J. & Salmah, S., 2011. "A Simulation Study of an ASEAN Monetary Union (Replaces CentER DP 2010-100)," Discussion Paper 2011-098, Tilburg University, Center for Economic Research.
    6. Sato, Kiyotaka & Zhang, Zhaoyong & Allen, David, 2009. "The suitability of a monetary union in East Asia: What does the cointegration approach tell?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2927-2937.
    7. Sato, Kiyotaka & Zhang, Zhaoyong & McAleer, Michael, 2011. "Identifying shocks in regionally integrated East Asian economies with structural VAR and block exogeneity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1353-1364.
    8. Adom, Assandé Désiré & Sharma, Subhash C. & Morshed, A.K.M. Mahbub, 2010. "Economic integration in Africa," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 245-253, August.
    9. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2008. "Is Greater China a currency union?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 319-327.
    10. Ong, Sheue Li & Sato, Kiyotaka, 2018. "Regional or global shock? A global VAR analysis of Asian economic and financial integration," The North American Journal of Economics and Finance, Elsevier, vol. 46(C), pages 232-248.
    11. Binner, Jane & Chen, Shu-Heng & Lai, Ke-Hung & Mullineux, Andrew & Swofford, James L., 2011. "Do the ASEAN countries and Taiwan form a common currency area?," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1429-1435.
    12. Alberto Coco & Andrea Silvestrini, 2017. "The nature and propagation of shocks in the euro area: a comparative SVAR analysis," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 7(1/2), pages 95-114.
    13. Shen, Jiancheng & Selover, David D. & Li, Chao & Yousefi, Hamed, 2022. "An ocean apart? The effects of US business cycles on Chinese business cycles," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 677-698.
    14. Md. Abdur Rahman Forhad, 2014. "How many currencies in Saarc countries? a multivariate structural var approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(4), pages 265-286, October-D.
    15. Genberg, Hans & Siklos, Pierre L., 2010. "Revisiting the shocking aspects of Asian monetary unification," Journal of Asian Economics, Elsevier, vol. 21(5), pages 445-455, October.
    16. Mishra, Ritesh Kumar & Sharma, Chandan, 2010. "Real exchange rate behavior and optimum currency area in East Asia: Evidence from Generalized Purchasing Power Parity," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 205-213, June.
    17. Chen, Xiaofen, 2012. "The dampening effect of bank foreign liabilities on monetary policy: Revisiting monetary cooperation in East Asia," Journal of International Money and Finance, Elsevier, vol. 31(2), pages 412-427.
    18. Watanabe, Shingo & Ogura, Masanobu, 2010. "How far apart are the two ACUs from each other? Asian currency unit and Asian currency union," Emerging Markets Review, Elsevier, vol. 11(2), pages 152-172, June.
    19. Engwerda, J. & Boldea, O. & Michalak, T. & Plasmans, J. & Salmah,, 2012. "A simulation study of an ASEAN monetary union," Economic Modelling, Elsevier, vol. 29(5), pages 1870-1890.
    20. Bashar, Omar H.M.N., 2012. "The dynamics of aggregate demand and supply shocks in ASEAN countries," Journal of Asian Economics, Elsevier, vol. 23(5), pages 507-518.

  275. Lee Kian Lim & Michael McAleer, 2004. "Convergence and catching up in ASEAN: a comparative analysis," Applied Economics, Taylor & Francis Journals, vol. 36(2), pages 137-153.
    See citations under working paper version above.
  276. Verhoeven, Peter & McAleer, Michael, 2004. "Fat tails and asymmetry in financial volatility models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 351-361.
    See citations under working paper version above.
  277. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.

    Cited by:

    1. Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
    2. Patricio Jaramillo & Sergio Lehmann & David Moreno., 2009. "China, Precios de Commodities y Desempeño de América Latina: Algunos Hechos Estilizados," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 46(133), pages 67-105.
    3. Cifuentes, Sebastián & Cortazar, Gonzalo & Ortega, Hector & Schwartz, Eduardo S., 2020. "Expected prices, futures prices and time-varying risk premiums: The case of copper," Resources Policy, Elsevier, vol. 69(C).
    4. Kriechbaumer, Thomas & Angus, Andrew & Parsons, David & Rivas Casado, Monica, 2014. "An improved wavelet–ARIMA approach for forecasting metal prices," Resources Policy, Elsevier, vol. 39(C), pages 32-41.
    5. Tomas Brabenec & Josef Montag, 2016. "Criminals and the Price System: Evidence from Czech Metal Thieves," CERGE-EI Working Papers wp558, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    6. K. Triantafyllopoulos, 2008. "Multivariate stochastic volatility with Bayesian dynamic linear models," Papers 0802.0214, arXiv.org.
    7. Cochran, Steven J. & Mansur, Iqbal & Odusami, Babatunde, 2012. "Volatility persistence in metal returns: A FIGARCH approach," Journal of Economics and Business, Elsevier, vol. 64(4), pages 287-305.
    8. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    9. Lyócsa, Štefan & Molnár, Peter & Todorova, Neda, 2017. "Volatility forecasting of non-ferrous metal futures: Covariances, covariates or combinations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 228-247.
    10. Donghua Wang & Yang Xin & Xiaohui Chang & Xingze Su, 2021. "Realized volatility forecasting and volatility spillovers: Evidence from Chinese non‐ferrous metals futures," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 2713-2731, April.
    11. Su, Chi Wei & Song, Xin Yue & Qin, Meng & Lobonţ, Oana-Ramona, 2024. "Is copper a safe haven for oil?," Resources Policy, Elsevier, vol. 91(C).
    12. K. Triantafyllopoulos, 2007. "Covariance estimation for multivariate conditionally Gaussian dynamic linear models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 551-569.
    13. {L}ukasz Bielak & Aleksandra Grzesiek & Joanna Janczura & Agnieszka Wy{l}oma'nska, 2021. "Market risk factors analysis for an international mining company. Multi-dimensional, heavy-tailed-based modelling," Papers 2107.07142, arXiv.org.
    14. Konstantinos Oikonomou & Dimitris Damigos, 2025. "Short term forecasting of base metals prices using a LightGBM and a LightGBM - ARIMA ensemble," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(1), pages 37-49, March.
    15. Buncic, Daniel & Moretto, Carlo, 2015. "Forecasting copper prices with dynamic averaging and selection models," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 1-38.
    16. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    17. Todorova, Neda & Clements, Adam E., 2018. "The volatility-volume relationship in the LME futures market for industrial metals," Resources Policy, Elsevier, vol. 58(C), pages 111-124.
    18. Su, Chi-Wei & Wang, Xiao-Qing & Zhu, Haotian & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Testing for multiple bubbles in the copper price: Periodically collapsing behavior," Resources Policy, Elsevier, vol. 65(C).
    19. Mikael Collan & Jyrki Savolainen & Pasi Luukka, 2017. "Investigating the effect of price process selection on the value of a metal mining asset portfolio," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 30(2), pages 107-115, July.
    20. Lien, Donald & Yang, Li, 2008. "Hedging with Chinese metal futures," Global Finance Journal, Elsevier, vol. 19(2), pages 123-138.
    21. Sergio Lehmann & David Moreno & Patricio Jaramillo, 2007. "China, Commodity Prices and Latin American Performance: A Few Stylized Facts," Working Papers Central Bank of Chile 424, Central Bank of Chile.
    22. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    23. Zhu, Xuehong & Zhang, Hongwei & Zhong, Meirui, 2017. "Volatility forecasting using high frequency data: The role of after-hours information and leverage effects," Resources Policy, Elsevier, vol. 54(C), pages 58-70.
    24. Tomáš Brabenec & Josef Montag, 2018. "Criminals and the Price System: Evidence from Czech Metal Thieves," Journal of Quantitative Criminology, Springer, vol. 34(2), pages 397-430, June.
    25. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    26. Qu, Qiushi & Wang, Limao & Cao, Zhi & Zhong, Shuai & Mou, Chufu & Sun, Yanzhi & Xiong, Chenran, 2019. "Unfolding the price effects of non-ferrous industry chain on economic development: A case study of Yunnan province," Resources Policy, Elsevier, vol. 61(C), pages 1-20.
    27. Liu, Chang & Hu, Zhenhua & Li, Yan & Liu, Shaojun, 2017. "Forecasting copper prices by decision tree learning," Resources Policy, Elsevier, vol. 52(C), pages 427-434.
    28. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    29. Khoshalan, Hasel Amini & Shakeri, Jamshid & Najmoddini, Iraj & Asadizadeh, Mostafa, 2021. "Forecasting copper price by application of robust artificial intelligence techniques," Resources Policy, Elsevier, vol. 73(C).
    30. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "Forecasting metal prices: Do forecasters herd?," Discussion Papers 325, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    31. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    32. Han, Xuyuan & Liu, Zhenya & Wang, Shixuan, 2022. "An R-vine copula analysis of non-ferrous metal futures with application in Value-at-Risk forecasting," Journal of Commodity Markets, Elsevier, vol. 25(C).
    33. Mohamed El Hedi Arouri & Fredj Jawadi & Prosper Mouak, 2013. "Testing the efficiency of the aluminium market: evidence from London metal exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 483-493, March.
    34. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.
    35. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    36. Triantafyllopoulos, K. & Nason, G.P., 2007. "A Bayesian analysis of moving average processes with time-varying parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1025-1046, October.
    37. Chen, Xiangyu & Tongurai, Jittima, 2024. "Revisiting the interdependences across global base metal futures markets: Evidence during the main waves of the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 70(PB).
    38. Triantafyllopoulos, Kostas, 2006. "Multivariate discount weighted regression and local level models," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3702-3720, August.

  278. M. McAleer & J. M. Sequeira, 2004. "Efficient estimation and testing of oil futures contracts in a mutual offset system," Applied Financial Economics, Taylor & Francis Journals, vol. 14(13), pages 953-962.

    Cited by:

    1. Maslyuk, Svetlana & Smyth, Russell, 2009. "Cointegration between oil spot and future prices of the same and different grades in the presence of structural change," Energy Policy, Elsevier, vol. 37(5), pages 1687-1693, May.
    2. Guglielmo Caporale & Davide Ciferri & Alessandro Girardi, 2010. "Time-varying spot and futures oil price dynamics," Quaderni del Dipartimento di Economia, Finanza e Statistica 75/2010, Università di Perugia, Dipartimento Economia.
    3. Robert Czudaj & Joscha Beckmann, 2012. "Spot and futures commodity markets and the unbiasedness hypothesis - evidence from a novel panel unit root test," Economics Bulletin, AccessEcon, vol. 32(2), pages 1695-1707.
    4. E. Mamatzakis, 2014. "Revealing asymmetries in the loss function of WTI oil futures market," Empirical Economics, Springer, vol. 47(2), pages 411-426, September.
    5. Beckmann, Joscha & Belke, Ansgar & Czudaj, Robert, 2014. "Regime-dependent adjustment in energy spot and futures markets," Economic Modelling, Elsevier, vol. 40(C), pages 400-409.
    6. Mamatzakis, E & Remoundos, P, 2010. "Threshold Cointegration in BRENT crude futures market," MPRA Paper 19978, University Library of Munich, Germany.
    7. Mamatzakis, E. & Remoundos, P., 2011. "Testing for adjustment costs and regime shifts in BRENT crude futures market," Economic Modelling, Elsevier, vol. 28(3), pages 1000-1008, May.
    8. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "Revisiting the relationship between spot and futures oil prices: Evidence from quantile cointegrating regression," Energy Economics, Elsevier, vol. 33(5), pages 924-935, September.
    9. Kolodziej, Marek & Kaufmann, Robert K., 2013. "The role of trader positions in spot and futures prices for WTI," Energy Economics, Elsevier, vol. 40(C), pages 176-182.
    10. Lin, Xiaoqiang & Tang, Zhenpeng & Fei, Fangyu, 2013. "Testing for relationships between Shanghai and Shenzhen stock markets: A threshold cointegration perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4064-4074.

  279. Ng, Hock Guan & McAleer, Michael, 2004. "Recursive modelling of symmetric and asymmetric volatility in the presence of extreme observations," International Journal of Forecasting, Elsevier, vol. 20(1), pages 115-129.

    Cited by:

    1. Krishna Reddy & Rudi Bosman & Nawazish Mirza, 2019. "Impact of Credit Ratings on Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 343-366, January.
    2. Charles, Amélie & Darné, Olivier, 2014. "Large shocks in the volatility of the Dow Jones Industrial Average index: 1928–2013," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 188-199.
    3. Mathieu Gatumel & Dominique Guegan, 2008. "Dynamic Analysis of the Insurance Linked Securities Index," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00320378, HAL.
    4. Amir Rafique, 2011. "Comparing the Volatility Clustering Of Different Frequencies of Stock Returns in an Emerging Market: A Case Study of Pakistan," Journal of Economics and Behavioral Studies, AMH International, vol. 3(6), pages 332-336.
    5. Amélie Charles & Olivier Darné & Laurent Ferrara, 2014. "Does the Great Recession imply the end of the Great Moderation? International evidence," Working Papers hal-04141344, HAL.
    6. Li, Zixuan & Long, Shaobo & Xu, Xiang, 2025. "Dynamic spillovers between global financial stress and uncertainties: Evidence from quantile connectedness," International Review of Economics & Finance, Elsevier, vol. 103(C).
    7. Lu Wang & Feng Ma & Guoshan Liu, 2020. "Forecasting stock volatility in the presence of extreme shocks: Short‐term and long‐term effects," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 797-810, August.
    8. Bali, Rakesh & Guirguis, Hany, 2007. "Extreme observations and non-normality in ARCH and GARCH," International Review of Economics & Finance, Elsevier, vol. 16(3), pages 332-346.
    9. Naseem Al Rahahleh & Robert Kao, 2018. "Forecasting Volatility: Evidence from the Saudi Stock Market," JRFM, MDPI, vol. 11(4), pages 1-18, November.
    10. Amélie Charles & Olivier Darné, 2017. "Forecasting crude-oil market volatility: Further evidence with jumps," Post-Print hal-01598141, HAL.
    11. Caiado, Jorge, 2004. "Modelling and forecasting the volatility of the portuguese stock index PSI-20," MPRA Paper 2077, University Library of Munich, Germany.
    12. Charles, Amélie & Darné, Olivier, 2014. "Volatility persistence in crude oil markets," Energy Policy, Elsevier, vol. 65(C), pages 729-742.
    13. Amélie Charles & Olivier Darné, 0. "Econometric history of the growth–volatility relationship in the USA: 1919–2017," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 0, pages 1-24.
    14. Amélie Charles & Olivier Darné, 2019. "The accuracy of asymmetric GARCH model estimation," International Economics, CEPII research center, issue 157, pages 179-202.
    15. Muhammad Sheraz & Imran Nasir, 2021. "Information-Theoretic Measures and Modeling Stock Market Volatility: A Comparative Approach," Risks, MDPI, vol. 9(5), pages 1-20, May.
    16. Felix Chan & Dora Marinova & Michael McAleer, 2003. "Modelling the Asymmetric Volatility of Electronics Patents in the USA," CIRJE F-Series CIRJE-F-208, CIRJE, Faculty of Economics, University of Tokyo.
    17. Amir Rafique, 2011. "Comparing the Leverage Effect of Different Frequencies of Stock Returns in an Emerging Market: A Case Study of Pakistan," Information Management and Business Review, AMH International, vol. 3(6), pages 283-288.
    18. You‐How Go & Jia‐Jun Teo & Kam Fong Chan, 2023. "The effectiveness of crude oil futures hedging during infectious disease outbreaks in the 21st century," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1559-1575, November.
    19. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).
    20. Leandro Maciel, 2012. "A Hybrid Fuzzy GJR-GARCH Modeling Approach for Stock Market Volatility Forecasting," Brazilian Review of Finance, Brazilian Society of Finance, vol. 10(3), pages 337-367.
    21. Mathieu Gatumel & Dominique Guegan, 2008. "Dynamic Analysis of the Insurance Linked Securities Index," Post-Print halshs-00320378, HAL.
    22. Shi, Yujie, 2022. "What influences stock market co-movements between China and its Asia-Pacific trading partners after the Global Financial Crisis?," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    23. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
    24. Prateek Sharma & Vipul _, 2015. "Forecasting stock index volatility with GARCH models: international evidence," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(4), pages 445-463, October.

  280. Sequeira, John M & Chiat, Pang Chia & McAleer, Michael, 2004. "Volatility models of currency futures in developed and emerging markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 79-93.
    See citations under working paper version above.
  281. Ling, Shiqing & McAleer, Michael, 2004. "Regression quantiles for unstable autoregressive models," Journal of Multivariate Analysis, Elsevier, vol. 89(2), pages 304-328, May.
    See citations under working paper version above.
  282. McAleer, Michael & Oxley, Les, 2004. "First Special Issue: Selected Papers of the MSSANZ/IMACS 14th Biennial Conference on Modelling and Simulation, Canberra, Australia, December 2001," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 1-2.

    Cited by:

    1. Kamel Malik Bensafta & Gervasio Semedo, 2014. "Market Volatility Transmission and Central Banking: What Happened during the Subprime Crisis?," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 559-588, December.

  283. Suhejla Hoti & Michael McAleer, 2004. "An Empirical Assessment of Country Risk Ratings and Associated Models," Journal of Economic Surveys, Wiley Blackwell, vol. 18(4), pages 539-588, September.

    Cited by:

    1. Michael McAleer & Bernardo da Veiga & Suhejla Hoti, 2009. "Value-at-Risk for Country Risk Ratings," CARF F-Series CARF-F-169, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    2. Chen, Hao & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2016. "Impacts of OPEC's political risk on the international crude oil prices: An empirical analysis based on the SVAR models," Energy Economics, Elsevier, vol. 57(C), pages 42-49.
    3. Ahmed Yusuf Sarihan & Harun Yildiz, 2025. "A PLS-SEM approach to understanding the relationship between global competitiveness and environmental performance: the moderating role of perceived corruption," Future Business Journal, Springer, vol. 11(1), pages 1-15, December.
    4. Barbara Meller, 2013. "The two-sided effect of financial globalization on output volatility," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(3), pages 477-504, September.
    5. Mordecki, Ernesto & Rodríguez, Andrés Sosa, 2021. "Country risk for emerging economies: a dynamical index proposal with a case study," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 40(2), April.
    6. Cruces, Juan J., 2006. "Statistical properties of country credit ratings," Emerging Markets Review, Elsevier, vol. 7(1), pages 27-51, March.
    7. Suhejla Hoti & Michael McAleer & Riaz Shareef, 2005. "Modelling Country Risk and Uncertainty in Small Island Tourism Economies," Tourism Economics, , vol. 11(2), pages 159-183, June.
    8. A. Seetharaman & Vikas Kumar Sahu & A. S. Saravanan & John Rudolph Raj & Indu Niranjan, 2017. "The Impact of Risk Management in Credit Rating Agencies," Risks, MDPI, vol. 5(4), pages 1-16, September.
    9. Fratostiteanu, Cosmin & Tanasie, Anca, 2007. "The country risk for Romania," MPRA Paper 5857, University Library of Munich, Germany.
    10. Cervelló-Royo, R. & Moya-Clemente, I. & Perelló-Marín, M.R. & Ribes-Giner, G., 2020. "Sustainable development, economic and financial factors, that influence the opportunity-driven entrepreneurship. An fsQCA approach," Journal of Business Research, Elsevier, vol. 115(C), pages 393-402.
    11. Hiranya K. Nath, 2009. "Country Risk Analysis: A Survey of the Quantitative Methods," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 62(1), pages 69-94.
    12. Hoti, Suhejla, 2005. "Comparative analysis of risk ratings for the East European region," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 449-462.
    13. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    14. Xu, Shuanglei & Deng, Youyi & Nepal, Rabindra & Jamasb, Tooraj, 2024. "Geopolitical Conflict and Risk and the EU Energy Trading: A Dynamic Evolutionary Networks Analysis," Working Papers 14-2024, Copenhagen Business School, Department of Economics.
    15. Marlene Grande & Aurora A. C. Teixeira, 2011. "Linking entry mode choices of MNCs with countries’ corruption. A review," OBEGEF Working Papers 008, OBEGEF - Observatório de Economia e Gestão de Fraude;OBEGEF Working Papers on Fraud and Corruption.
    16. Dušan Steinhauser & Zuzana Borovská, 2022. "The Impact of Institutional Environment on Risk Assessment," Central European Business Review, Prague University of Economics and Business, vol. 2022(2), pages 61-79.
    17. Damien Kunjal & Faeezah Peerbhai & Paul-Francois Muzindutsi, 2022. "Political, economic, and financial country risks and the volatility of the South African Exchange Traded Fund market: A GARCH-MIDAS approach," Risk Management, Palgrave Macmillan, vol. 24(3), pages 236-258, September.
    18. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    19. Susan K. Schroeder, 2008. "The Underpinnings Of Country Risk Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 498-535, July.
    20. Luís Francisco Aguiar-Conraria & Gulamhussen, Mohamed Azzim, 2006. "Foreign Direct Investment in Brazil and Home Country Risk," NIPE Working Papers 7/2006, NIPE - Universidade do Minho.
    21. Lorena Mari del Cristo & Marta Gómez-Puig, 2014. "Dollarization and the relationship between EMBI and fundamentals in Latin American countries," Working Papers 2014-02, Universitat de Barcelona, UB Riskcenter.
    22. Judit Oláh & Sándor Kovács & Zuzana Virglerova & Zoltán Lakner & Maria Kovacova & József Popp, 2019. "Analysis and Comparison of Economic and Financial Risk Sources in SMEs of the Visegrad Group and Serbia," Sustainability, MDPI, vol. 11(7), pages 1-19, March.
    23. Ribes-Giner, G. & Moya-Clemente, I. & Cervelló-Royo, R. & Perello-Marin, M.R., 2018. "Domestic economic and social conditions empowering female entrepreneurship," Journal of Business Research, Elsevier, vol. 89(C), pages 182-189.
    24. Parvesh K. Chopra & Gopal K. Kanji, 2010. "On Measuring Country Risk: A new System Modelling Approach - La misura del rischio paese: un nuovo approccio system modelling," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(4), pages 479-515.
    25. Jorgensen, Ole Hagen & Apostolou, Apostolos, 2013. "Brazil's bank spread in international context : from macro to micro drivers," Policy Research Working Paper Series 6611, The World Bank.
    26. Guido Bonatti & Andrea Ciacci & Enrico Ivaldi, 2021. "Different Measures of Country Risk: An Application to European Countries," JRFM, MDPI, vol. 14(1), pages 1-16, January.
    27. Cervelló-Royo, Roberto & Moya-Clemente, Ismael & Perelló-Marin, M. Rosario & Ribes-Giner, Gabriela, 2022. "A configurational approach to a country’s entrepreneurship level: Innovation, financial and development factors," Journal of Business Research, Elsevier, vol. 140(C), pages 394-402.
    28. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    29. John Hudson & Philip Jones, 2008. "Corruption And Military Expenditure: At 'No Cost To The King'," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(6), pages 387-403.
    30. Manel Frifita & Zouhair Hadhek, 2025. "Do Country Risks Matter for Tourism efficiency? Evidence from Mediterranean countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 5093-5142, March.
    31. Damien KUNJAL & Faeezah PEERBHAI & Paul Francois MUZINDUTSI, 2024. "The Effect of Disaggregated Country Risk on the Returns of the South African Exchange Traded Fund Market," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 8(1), pages 1-34.
    32. Rod Tyers & Jane Golley, 2006. "China's Growth to 2030: The Roles of Demographic Change and Investment Risk," ANU Working Papers in Economics and Econometrics 2006-461, Australian National University, College of Business and Economics, School of Economics.
    33. Xingyuan Zhang & Rajeev K. Goel & Jiaming Jiang & Salvatore Capasso, 2023. "Do deep regional trade agreements strengthen anti‐corruption? A social network analysis," The World Economy, Wiley Blackwell, vol. 46(8), pages 2478-2513, August.
    34. Othmani, Abdelhafidh & Slimani, Slah & Bakari, Sayef, 2015. "Les Effets de la Corruption sur le Commerce Extérieur de la Tunisie : Une Approche du Modèle de Gravité Statique durant la Période 1999-2012," MPRA Paper 80894, University Library of Munich, Germany.
    35. Rod Tyers & Jane Golley, 2006. "China's Growth to 2030: The Roles of Demographic Change and Investment Premia," PGDA Working Papers 1206, Program on the Global Demography of Aging.
    36. Shareef, Riaz & Hoti, Suhejla, 2005. "Small island tourism economies and country risk ratings," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 553-566.
    37. Chen, Yajie & Zhang, Dayong & Guo, Kun & Ji, Qiang, 2024. "Emission trading schemes and cross-border mergers and acquisitions," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
    38. Othmani, Abdelhafidh & Slimani, Slah & Bakari, Sayef, 2015. "Les Effets de la Concurrence sur le Commerce Extérieur de la Tunisie : Une Approche du Modèle de Gravité Statique durant la Période 1999-2012 [The Effects of Competition on Foreign Trade in Tunisia: An Approach to the Static Gravity Model in the P," MPRA Paper 80885, University Library of Munich, Germany.
    39. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.

  284. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Modelling the asymmetric volatility of anti-pollution patents in the USA," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(2), pages 179-197, February.

    Cited by:

    1. Wang, Qizhen, 2019. "Multifractal characterization of air polluted time series in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 167-180.

  285. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2004. "Asian monetary integration: a structural VAR approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 447-458.
    See citations under working paper version above.
  286. Ling, Shiqing & McAleer, Michael, 2003. "Asymptotic Theory For A Vector Arma-Garch Model," Econometric Theory, Cambridge University Press, vol. 19(2), pages 280-310, April.
    See citations under working paper version above.
  287. Felix Chan & Michael McAleer, 2003. "Estimating smooth transition autoregressive models with GARCH errors in the presence of extreme observations and outliers," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 581-592.
    See citations under working paper version above.
  288. Shiqing Ling & W. K. Li & Michael McAleer, 2003. "Estimation and Testing for Unit Root Processes with GARCH (1, 1) Errors: Theory and Monte Carlo Evidence," Econometric Reviews, Taylor & Francis Journals, vol. 22(2), pages 179-202.
    See citations under working paper version above.
  289. Michael McAleer & Colin McKenzie, 2002. "The International Congress on Modelling and Simulation: Hamilton, New Zealand, December 1999," Journal of Economic Surveys, Wiley Blackwell, vol. 16(1), pages 111-121, February.

    Cited by:

    1. John M. Sequeira & Pang Chia Chiat & Michael McAleer, 2003. "Volatility Models of Currency Futures in Developed and Emerging Markets," CIRJE F-Series CIRJE-F-210, CIRJE, Faculty of Economics, University of Tokyo.

  290. W. K. Li & Shiqing Ling & Michael McAleer, 2002. "Recent Theoretical Results for Time Series Models with GARCH Errors," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 245-269, July.

    Cited by:

    1. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2010. "GFC-Robust Risk Management Strategies under the Basel Accord," Econometric Institute Research Papers EI 2010-59, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Chang, C-L. & McAleer, M.J., 2009. "Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan," Econometric Institute Research Papers EI 2009-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chang, Chia-Lin & Jimenez-Martin, Juan-Angel & Maasoumi, Esfandiar & McAleer, Michael & Pérez-Amaral, Teodosio, 2019. "Choosing expected shortfall over VaR in Basel III using stochastic dominance," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 95-113.
    4. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Roberto Casarin & Chia-Lin Chang & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "Risk Management of Risk Under the Basel Accord: A Bayesian Approach to Forecasting Value-at-Risk of VIX Futures," Working Papers in Economics 11/26, University of Canterbury, Department of Economics and Finance.
    6. Li, Dong & Ling, Shiqing & Zakoïan, Jean-Michel, 2015. "Asymptotic inference in multiple-threshold double autoregressive models," Journal of Econometrics, Elsevier, vol. 189(2), pages 415-427.
    7. Michael Frömmel & Eyup Kadioglu, 2023. "Impact of trading hours extensions on foreign exchange volatility: intraday evidence from the Moscow exchange," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    8. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2011. "Risk Management of Risk under the Basel Accord: Forecasting Value-at-Risk of VIX Futures," Econometric Institute Research Papers EI 2011-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Steven Cook, 2006. "The robustness of modified unit root tests in the presence of GARCH," Quantitative Finance, Taylor & Francis Journals, vol. 6(4), pages 359-363.
    10. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2011. "How Volatile is ENSO?," Documentos de Trabajo del ICAE 2011-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    12. Michael McAleer & Kim Radalj, 2013. "Herding, Information Cascades and Volatility Spillovers in Futures Markets," Tinbergen Institute Discussion Papers 13-086/III, Tinbergen Institute.
    13. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    14. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    15. Paulo Rodrigues & Antonio Rubia, 2008. "A note on testing for nonstationarity in autoregressive processes with level dependent conditional heteroskedasticity," Statistical Papers, Springer, vol. 49(3), pages 581-593, July.
    16. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    17. Felix Chan & Dora Marinova & Michael McAleer, 2004. "Trends and volatilities in foreign patents registered in the USA," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 585-592.
    18. Chang, Chia-Lin & Huang, Biing-Wen & Chen, Meng-Gu & McAleer, Michael, 2011. "Modelling the asymmetric volatility in hog prices in Taiwan: The impact of joining the WTO," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1491-1506.
    19. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "A Decision Rule to Minimize Daily Capital Charges in Forecasting Value-at-Risk," CARF F-Series CARF-F-159, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    20. Sung Ik Kim, 2022. "ARMA–GARCH model with fractional generalized hyperbolic innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    21. Angelidis, Timotheos & Degiannakis, Stavros, 2005. "Modeling Risk for Long and Short Trading Positions," MPRA Paper 80467, University Library of Munich, Germany.
    22. Jimenez-Martin, Juan-Angel & McAleer, Michael & Pérez-Amaral, Teodosio & Santos, Paulo Araújo, 2013. "GFC-robust risk management under the Basel Accord using extreme value methodologies," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 223-237.
    23. Suhejla Hoti & Michael McAleer & Riaz Shareef, 2005. "Modelling Country Risk and Uncertainty in Small Island Tourism Economies," Tourism Economics, , vol. 11(2), pages 159-183, June.
    24. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.
    25. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    26. Adil Saleem & Judit Bárczi & Judit Sági, 2021. "COVID-19 and Islamic Stock Index: Evidence of Market Behavior and Volatility Persistence," JRFM, MDPI, vol. 14(8), pages 1-22, August.
    27. Aknouche, Abdelhakim & Guerbyenne, Hafida, 2009. "On some probabilistic properties of double periodic AR models," Statistics & Probability Letters, Elsevier, vol. 79(3), pages 407-413, February.
    28. Chang, Chia-Lin & Jiménez-Martín, Juan-Ángel & Maasoumi, Esfandiar & Pérez-Amaral, Teodosio, 2015. "A stochastic dominance approach to financial risk management strategies," Journal of Econometrics, Elsevier, vol. 187(2), pages 472-485.
    29. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    30. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    31. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    32. Marcelo Cunha Medeiros & Alvaro Veiga, 2004. "Modelling multiple regimes in financial volatility with a flexible coefficient GARCH model," Textos para discussão 486, Department of Economics PUC-Rio (Brazil).
    33. Chia-Lin Chang & Michael McAleer & Christine Lim, 2010. "Modelling the Volatility in Short and Long Haul Japanese Tourist Arrivals to New Zealand and Taiwan," Working Papers in Economics 10/40, University of Canterbury, Department of Economics and Finance.
    34. Tansuchat, R. & Chang, C-L. & McAleer, M.J., 2010. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," Econometric Institute Research Papers EI 2010-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    35. Mustafa Salamh & Liqun Wang, 2021. "Second-Order Least Squares Estimation in Nonlinear Time Series Models with ARCH Errors," Econometrics, MDPI, vol. 9(4), pages 1-17, November.
    36. Westerlund, Joakim & Narayan, Paresh, 2009. "Using Panel Data to Construct Simple and Efficient Unit Root Tests in the Presence of GARCH," Working Papers in Economics 379, University of Gothenburg, Department of Economics.
    37. Divino, Jose Angelo & McAleer, Michael, 2010. "Modelling and forecasting daily international mass tourism to Peru," Tourism Management, Elsevier, vol. 31(6), pages 846-854.
    38. Asai, Manabu & McAleer, Michael, 2008. "A Portfolio Index GARCH model," International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
    39. D. E. Allen & A. K. Singh & R. Powell, 2012. "A Gourmet's delight: CAViaR and the Australian stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 19(15), pages 1493-1498, October.
    40. Wagner Oliveira Monteiro & Rodrigo De Losso da Silveira Bueno, 2011. "Dynamic Hedging inMarkov Regimes Switching," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 136, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    41. Escanciano, J. C. & Olmo, J., 2007. "Estimation risk effects on backtesting for parametric value-at-risk models," Working Papers 07/11, Department of Economics, City St George's, University of London.
    42. Perry Sadorsky & Michael D. McKenzie, 2008. "Power transformation models and volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 587-606.
    43. Chia-Lin Chang & Michael McAleer, 2010. "Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates," CIRJE F-Series CIRJE-F-716, CIRJE, Faculty of Economics, University of Tokyo.
    44. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    45. Kin-Yip Ho & Albert K Tsui, 2008. "Volatility Dynamics in Foreign Exchange Rates : Further Evidence from the Malaysian Ringgit and Singapore Dollar," Finance Working Papers 22571, East Asian Bureau of Economic Research.
    46. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    47. Matei Demetrescu, 2010. "On the Dickey–Fuller test with White standard errors," Statistical Papers, Springer, vol. 51(1), pages 11-25, January.
    48. Andrea Silvestrini & David Veredas, 2008. "Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
    49. Yang, Yung-Lieh & Chang, Chia-Lin, 2008. "A double-threshold GARCH model of stock market and currency shocks on stock returns," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 458-474.
    50. Chia-Lin Chang & Juan-à ngel Jiménez-Martín & Michael McAleer & Teodosio Pérez-Amaral, 2011. "The Rise and Fall of S&P500 Variance Futures," KIER Working Papers 795, Kyoto University, Institute of Economic Research.
    51. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    52. Liu, Li-Gang & Pauwels, Laurent L., 2012. "Do external political pressures affect the Renminbi exchange rate?," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1800-1818.
    53. Yi-Ting Chen, 2008. "A unified approach to standardized-residuals-based correlation tests for GARCH-type models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 111-133.
    54. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    55. Chang, C-L. & McAleer, M.J. & Tansuchat, R., 2009. "Modelling conditional correlations for risk diversification in crude oil markets," Econometric Institute Research Papers EI 2009-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    56. Wago, Hajime, 2004. "Bayesian estimation of smooth transition GARCH model using Gibbs sampling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 63-78.
    57. Long, Ling & Tsui, Albert K. & Zhang, Zhaoyong, 2014. "Conditional heteroscedasticity with leverage effect in stock returns: Evidence from the Chinese stock market," Economic Modelling, Elsevier, vol. 37(C), pages 89-102.
    58. Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2005. "Volatility Forecasting," PIER Working Paper Archive 05-011, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    59. Luis Gil-Alana, 2010. "Testing persistence in the context of conditional heteroscedasticity errors," Applied Financial Economics, Taylor & Francis Journals, vol. 20(22), pages 1709-1723.
    60. Cook, Steven, 2008. "Joint maximum likelihood estimation of unit root testing equations and GARCH processes: Some finite-sample issues," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 109-116.
    61. Li, Yushu & Shukur, Ghazi, 2009. "Testing for Unit Root against LSTAR Model: Wavelet Improvement under GARCH Distortion," CAFO Working Papers 2009:6, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
    62. Robert Engle, 2002. "New frontiers for arch models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 425-446.
    63. Jose Angelo Divino & Michael McAleer, 2009. "Modelling the Growth and Volatility in Daily International Mass Tourism to Peru," Documentos de Trabajo del ICAE 2009-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    64. Michael McAleer & Juan-Angel Jimenez-Martin & Teodosio Perez-Amaral, 2009. "Has the Basel II Accord Encouraged Risk Management During the 2008-09 Financial Crisis?," CIRJE F-Series CIRJE-F-643, CIRJE, Faculty of Economics, University of Tokyo.
    65. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2011. "International Evidence on GFC-robust Forecasts for Risk Management under te Basel Accord," Econometric Institute Research Papers EI 2011-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    66. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.
    67. Paulo M.M. Rodrigues & Ana C. M. Daniel, 2010. "Volatility and Seasonality of Tourism Demand in Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    68. Caporin, M. & McAleer, M.J., 2010. "Threshold, news impact surfaces and dynamic asymmetric multivariate GARCH," Econometric Institute Research Papers EI 2010-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    69. Leung, Pui-Lam & Wong, Wing-Keung, 2008. "Three-factor profile analysis with GARCH innovations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 1-8.
    70. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.
    71. Parvesh K. Chopra & Gopal K. Kanji, 2010. "On Measuring Country Risk: A new System Modelling Approach - La misura del rischio paese: un nuovo approccio system modelling," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(4), pages 479-515.
    72. Francq, Christian & Zakoian, Jean-Michel, 2007. "Quasi-maximum likelihood estimation in GARCH processes when some coefficients are equal to zero," Stochastic Processes and their Applications, Elsevier, vol. 117(9), pages 1265-1284, September.
    73. Teräsvirta, Timo, 2006. "An introduction to univariate GARCH models," SSE/EFI Working Paper Series in Economics and Finance 646, Stockholm School of Economics.
    74. Abdul Hakim & Michael McAleer, 2009. "Modelling the Interactions Across International Stock, Bond and Foreign Exchange Markets," CARF F-Series CARF-F-170, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    75. Aknouche, Abdelhakim & Bentarzi, Mohamed, 2008. "On the existence of higher-order moments of periodic GARCH models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3262-3268, December.
    76. Juan Carlos Escanciano & Jose Olmo, 2007. "Backtesting Parametric Value-at-Risk with Estimation Risk," CAEPR Working Papers 2007-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, revised Sep 2008.
    77. Escanciano, Juan Carlos & Pei, Pei, 2012. "Pitfalls in backtesting Historical Simulation VaR models," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2233-2244.
    78. López-Herrera, Francisco & Ortiz-Arango, Francisco & Venegas-Martínez, Francisco, 2011. "Modelado de la volatilidad del Índice de Precios y Cotizaciones de la Bolsa Mexicana de Valores con cambios markovianos de régimen," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Perrotini-Hernández, Ignacio (ed.), Crecimiento y Desarrollo Económico en México, volume 1, chapter 10, pages 153-164, Escuela Superior de Economía, Instituto Politécnico Nacional.
    79. Paulo M. M. Rodrigues & Antonio Rubia, 2004. "On the Small Sample Properties of Dickey Fuller and Maximum Likelihood Unit Root Tests on Discrete-Sampled Short-Term Interest Rates," Econometrics 0405004, University Library of Munich, Germany.
    80. W. Kwan & W. K. Li & K. W. Ng, 2010. "A Multivariate Threshold Varying Conditional Correlations Model," Econometric Reviews, Taylor & Francis Journals, vol. 29(1), pages 20-38.
    81. Michael McAleer & Riaz Shareef & Bernardo da Veiga, 2005. "Managing Value-at-Risk in Daily Tourist Tax Revenues for the Maldives," DEA Working Papers 11, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    82. McAleer, Michael & Chan, Felix & Marinova, Dora, 2007. "An econometric analysis of asymmetric volatility: Theory and application to patents," Journal of Econometrics, Elsevier, vol. 139(2), pages 259-284, August.
    83. Fernanda Maria Müller & Thalles Weber Gössling & Samuel Solgon Santos & Marcelo Brutti Righi, 2024. "A comparison of Range Value at Risk (RVaR) forecasting models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 509-543, April.
    84. So, Mike K.P. & Chen, Cathy W.S. & Lee, Jen-Yu & Chang, Yi-Ping, 2008. "An empirical evaluation of fat-tailed distributions in modeling financial time series," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(1), pages 96-108.
    85. Spierdijk, Laura, 2016. "Confidence intervals for ARMA–GARCH Value-at-Risk: The case of heavy tails and skewness," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 545-559.
    86. BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011. "Volatility models," LIDAM Discussion Papers CORE 2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
      • Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    87. Work, J. & Qiu, F. & Luckert, M.K., 2016. "Examining hardwood pulp and ethanol prices for improved poplar plantations in Canada," Forest Policy and Economics, Elsevier, vol. 70(C), pages 9-15.
    88. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    89. Xu, Ke-Li & Phillips, Peter C.B., 2008. "Adaptive estimation of autoregressive models with time-varying variances," Journal of Econometrics, Elsevier, vol. 142(1), pages 265-280, January.
    90. Wang, Gaowen, 2006. "A note on unit root tests with heavy-tailed GARCH errors," Statistics & Probability Letters, Elsevier, vol. 76(10), pages 1075-1079, May.
    91. Suhejla Hoti & Felix Chan & Michael McAleer, 2003. "Structure and Asymptotic Theory for Multivariate Asymmetric Volatility: Empirical Evidence for Country Risk Ratings," CIRJE F-Series CIRJE-F-203, CIRJE, Faculty of Economics, University of Tokyo.
    92. Chang, C-L. & Jiménez-Martín, J.A. & McAleer, M.J. & Pérez-Amaral, T., 2015. "A Stochastic Dominance Approach to the Basel III Dilemma: Expected Shortfall or VaR?," Econometric Institute Research Papers EI2015-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    93. Dong Li & Shiqing Ling & Jean-Michel Zakoian, 2013. "Asymptotic Inference in Multiple-Threshold Nonlinear Time Series Models," Working Papers 2013-51, Center for Research in Economics and Statistics.
    94. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    95. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    96. Bartolomé, Ana & McAleer, Michael & Ramos, Vicente & Rey-Maquieira, Javier, 2009. "A risk map of international tourist regions in Spain," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2741-2758.
    97. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    98. Afees A. Salisu, 2016. "Modelling Oil Price Volatility with the Beta-Skew-t-EGARCH Framework," Economics Bulletin, AccessEcon, vol. 36(3), pages 1315-1324.
    99. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.
    100. Shuangzhe Liu & Chris Heyde, 2008. "On estimation in conditional heteroskedastic time series models under non-normal distributions," Statistical Papers, Springer, vol. 49(3), pages 455-469, July.
    101. Thomas C. Chiang & Jiandong Li, 2012. "Stock Returns and Risk: Evidence from Quantile," JRFM, MDPI, vol. 5(1), pages 1-39, December.
    102. Songhua Tan & Qianqian Zhu, 2022. "Asymmetric linear double autoregression," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 371-388, May.
    103. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    104. Ng, Hock Guan & McAleer, Michael, 2004. "Recursive modelling of symmetric and asymmetric volatility in the presence of extreme observations," International Journal of Forecasting, Elsevier, vol. 20(1), pages 115-129.
    105. Ana Bartolomé & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Modelling Air Passenger Arrivals in the Balearic and Canary Islands, Spain," Tourism Economics, , vol. 15(3), pages 481-500, September.
    106. Hillebrand Eric & Medeiros Marcelo C. & Xu Junyue, 2013. "Asymptotic Theory for Regressions with Smoothly Changing Parameters," Journal of Time Series Econometrics, De Gruyter, vol. 5(2), pages 133-162, April.
    107. Dorien Herremans & Kah Wee Low, 2022. "Forecasting Bitcoin volatility spikes from whale transactions and CryptoQuant data using Synthesizer Transformer models," Papers 2211.08281, arXiv.org.
    108. Ling, Shiqing, 2007. "Self-weighted and local quasi-maximum likelihood estimators for ARMA-GARCH/IGARCH models," Journal of Econometrics, Elsevier, vol. 140(2), pages 849-873, October.
    109. Hoti, Suhejla & McAleer, Michael & Chan, Felix, 2005. "Modelling the spillover effects in the volatility of atmospheric carbon dioxide concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 46-56.
    110. Sandrine Lardic & Valérie Mignon, 2004. "Robert F. Engle et Clive W.J. Granger prix Nobel d'économie 2003," Revue d'économie politique, Dalloz, vol. 114(1), pages 1-15.
    111. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    112. Pan, Qunxing & Mei, Xiaowen & Gao, Tianqing, 2022. "Modeling dynamic conditional correlations with leverage effects and volatility spillover effects: Evidence from the Chinese and US stock markets affected by the recent trade friction," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    113. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    114. Georgios, Katechos, 2011. "On the relationship between exchange rates and equity returns: A new approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(4), pages 550-559, October.
    115. Westerlund, Joakim & Narayan, Paresh, 2014. "Panel versus GARCH information in unit root testing with an application to financial markets," Economic Modelling, Elsevier, vol. 41(C), pages 173-176.
    116. Hlouskova, Jaroslava & Schmidheiny, Kurt & Wagner, Martin, 2009. "Multistep predictions for multivariate GARCH models: Closed form solution and the value for portfolio management," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 330-336, March.
    117. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.
    118. Liu, Shuangzhe & Neudecker, Heinz, 2009. "On pseudo maximum likelihood estimation for multivariate time series models with conditional heteroskedasticity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2556-2565.
    119. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    120. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  291. Ling, Shiqing & McAleer, Michael, 2002. "NECESSARY AND SUFFICIENT MOMENT CONDITIONS FOR THE GARCH(r,s) AND ASYMMETRIC POWER GARCH(r,s) MODELS," Econometric Theory, Cambridge University Press, vol. 18(3), pages 722-729, June.
    See citations under working paper version above.
  292. Ling, Shiqing & McAleer, Michael, 2002. "Stationarity and the existence of moments of a family of GARCH processes," Journal of Econometrics, Elsevier, vol. 106(1), pages 109-117, January.
    See citations under working paper version above.
  293. Lim, Christine & McAleer, Michael, 2002. "A cointegration analysis of annual tourism demand by Malaysia for Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 197-205.

    Cited by:

    1. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2017. "A Tourism Financial Conditions Index for Tourism Finance," Tinbergen Institute Discussion Papers 17-071/III, Tinbergen Institute.
    2. Ambachew Mekonnen Sisay, . "Determinants of private investment in Ethiopia: a time series study," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(01).
    3. Guizzardi, Andrea & Mazzocchi, Mario, 2010. "Tourism demand for Italy and the business cycle," Tourism Management, Elsevier, vol. 31(3), pages 367-377.
    4. Gabriela Mordecki & Ana Leiva & Nathalie Desplas, 2016. "Tourism demand for Mexico and Uruguay," Documentos de Trabajo (working papers) 16-09, Instituto de Economía - IECON.
    5. Nanthakumar Loganathan & Ang Shy Han & Mori Kogid, 2013. "Demand for Indonesia, Singapore and Thailand Tourist to Malaysia:Seasonal Unit Root and Multivariate Analysis," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 1(2), pages 15-23, Februray.
    6. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    7. KETENCI, Natalya, 2010. "Cointegration Analysis Of Tourism Demand For Turkey," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 10(1).
    8. Andraz, Jorge M. & Rodrigues, Paulo M.M., 2016. "Monitoring tourism flows and destination management: Empirical evidence for Portugal," Tourism Management, Elsevier, vol. 56(C), pages 1-7.
    9. Ronald Kumar & Nanthakumar Loganathan & Arvind Patel & Radika Kumar, 2015. "Nexus between tourism earnings and economic growth: a study of Malaysia," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1101-1120, May.
    10. Lee, Chien-Chiang & Chien, Mei-Se, 2008. "Structural breaks, tourism development, and economic growth: Evidence from Taiwan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 77(4), pages 358-368.
    11. Muhammad Shafiullah & Luke Emeka Okafor & Usman Khalid, 2019. "Determinants of international tourism demand: Evidence from Australian states and territories," Tourism Economics, , vol. 25(2), pages 274-296, March.
    12. Ambachew, Mekonnen Sisay, 2011. "Determinants of Private Investment in Ethiopia: a Time Series Study," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(01), pages 180-180, September.
    13. Seetaram, Neelu, 2012. "Immigration and international inbound tourism: Empirical evidence from Australia," Tourism Management, Elsevier, vol. 33(6), pages 1535-1543.

  294. Verhoeven, Peter & Pilgram, Berndt & McAleer, Michael & Mees, Alistair, 2002. "Non-linear modelling and forecasting of S&P 500 volatility," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 233-241.

    Cited by:

    1. Beg, A.B.M. Rabiul Alam & Anwar, Sajid, 2012. "Sources of volatility persistence: A case study of the U.K. pound/U.S. dollar exchange rate returns," The North American Journal of Economics and Finance, Elsevier, vol. 23(2), pages 165-184.
    2. Huarng, Kunhuang & Yu, Hui-Kuang, 2005. "A Type 2 fuzzy time series model for stock index forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 353(C), pages 445-462.
    3. A. B. M. Rabiul Alam Beg & Sajid Anwar, 2014. "Detecting volatility persistence in GARCH models in the presence of the leverage effect," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2205-2213, December.

  295. Dora Marinova & Michael McAleer, 2002. "Trends and volatility in Japanese patenting in the USA: An analysis of the electronics and transport industries," Scientometrics, Springer;Akadémiai Kiadó, vol. 55(2), pages 171-187, August.

    Cited by:

    1. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.

  296. Lim, Lee K & McAleer, Michael, 2002. "Economic growth and technological catching up by Singapore to the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 133-141.

    Cited by:

    1. Habibullah, M.S. & Dayang-Afizzah, A.M. & Liew, Venus Khim-Sen & Lim, Kian-Ping, 2008. "Testing nonlinear convergence in Malaysia,1965-2003," MPRA Paper 12110, University Library of Munich, Germany.
    2. Roghieh Gholami & Sang-Yong Lee & Almas Heshmati, 2005. "The Causal Relationship between ICT and FDI," WIDER Working Paper Series RP2005-26, World Institute for Development Economic Research (UNU-WIDER).

  297. Michael McAleer & Les Oxley, 2002. "The Econometrics of Financial Time Series," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 237-243, July.

    Cited by:

    1. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. McAleer, M.J. & Jiménez-Martín, J.A. & Pérez-Amaral, T., 2012. "Has the Basel Accord Improved Risk Management During the Global Financial Crisis?," Econometric Institute Research Papers EI 2012-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Carlos Escanciano, J., 2008. "Joint and marginal specification tests for conditional mean and variance models," Journal of Econometrics, Elsevier, vol. 143(1), pages 74-87, March.
    4. Suhejla Hoti & Michael McAleer & Riaz Shareef, 2005. "Modelling Country Risk and Uncertainty in Small Island Tourism Economies," Tourism Economics, , vol. 11(2), pages 159-183, June.
    5. Massimiliano Caporin & Michael McAleer, 2008. "Scalar BEKK and indirect DCC," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 537-549.
    6. Michael McAleer & Bernardo da Veiga, 2008. "Single-index and portfolio models for forecasting value-at-risk thresholds," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 217-235.
    7. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    8. Chia-Lin Chang & Michael McAleer & Christine Lim, 2009. "Modelling Short and Long Haul Volatility in Japanese Tourist Arrivals to New Zealand and Taiwan," CIRJE F-Series CIRJE-F-647, CIRJE, Faculty of Economics, University of Tokyo.
    9. Mustafa Salamh & Liqun Wang, 2021. "Second-Order Least Squares Estimation in Nonlinear Time Series Models with ARCH Errors," Econometrics, MDPI, vol. 9(4), pages 1-17, November.
    10. Escanciano, J. C. & Olmo, J., 2007. "Estimation risk effects on backtesting for parametric value-at-risk models," Working Papers 07/11, Department of Economics, City St George's, University of London.
    11. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2004. "Modelling Environmental Risk," IHEID Working Papers 08-2004, Economics Section, The Graduate Institute of International Studies.
    12. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    13. Chia-Lin Chang & Biing-Wen Huang & Meng-Gu Chen & Michael McAleer, 2009. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan: The Impact of Joining the WTO," CIRJE F-Series CIRJE-F-642, CIRJE, Faculty of Economics, University of Tokyo.
    14. Paulo Araújo Santos & Juan-Ángel Jiménez-Martín & Michael McAleer & Teodosio Pérez Amaral, 2011. "GFC-Robust Risk Management Under the Basel Accord Using Extreme Value Methodologies," Working Papers in Economics 11/28, University of Canterbury, Department of Economics and Finance.
    15. Wago, Hajime, 2004. "Bayesian estimation of smooth transition GARCH model using Gibbs sampling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 63-78.
    16. Chan, Felix & Marinova, Dora & McAleer, Michael, 2004. "Modelling the asymmetric volatility of electronics patents in the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 169-184.
    17. Chang, C-L. & Jiménez-Martín, J.A. & Maasoumi, E. & McAleer, M.J., 2015. "Choosing Expected Shortfall over VaR in Basel III Using Stochastic Dominance," Econometric Institute Research Papers EI2015-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Parvesh K. Chopra & Gopal K. Kanji, 2010. "On Measuring Country Risk: A new System Modelling Approach - La misura del rischio paese: un nuovo approccio system modelling," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(4), pages 479-515.
    19. Juan Carlos Escanciano & Jose Olmo, 2007. "Backtesting Parametric Value-at-Risk with Estimation Risk," CAEPR Working Papers 2007-005, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, revised Sep 2008.
    20. Michael McAleer & Riaz Shareef & Bernardo da Veiga, 2005. "Managing Value-at-Risk in Daily Tourist Tax Revenues for the Maldives," DEA Working Papers 11, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    21. Jose Angelo Divino & Michael McAleer, 2009. "Modelling and Forecasting Daily International Mass Tourism to Peru," CIRJE F-Series CIRJE-F-651, CIRJE, Faculty of Economics, University of Tokyo.
    22. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Cruising is Risky Business," CIRJE F-Series CIRJE-F-664, CIRJE, Faculty of Economics, University of Tokyo.
    23. Afees A. Salisu, 2016. "Modelling Oil Price Volatility with the Beta-Skew-t-EGARCH Framework," Economics Bulletin, AccessEcon, vol. 36(3), pages 1315-1324.
    24. Jack Strauss & Mark E. Wohar, 2007. "Domestic‐Foreign Interest Rate Differentials: Near Unit Roots and Symmetric Threshold Models," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 814-829, January.
    25. Thomas C. Chiang & Jiandong Li, 2012. "Stock Returns and Risk: Evidence from Quantile," JRFM, MDPI, vol. 5(1), pages 1-39, December.
    26. Hoti, Suhejla, 2005. "Modelling country spillover effects in country risk ratings," Emerging Markets Review, Elsevier, vol. 6(4), pages 324-345, December.
    27. Hoti, Suhejla & McAleer, Michael & Chan, Felix, 2005. "Modelling the spillover effects in the volatility of atmospheric carbon dioxide concentrations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 46-56.
    28. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    29. Juan‐Ángel Jiménez‐Martín & Michael McAleer & Teodosio Pérez‐Amaral, 2009. "The Ten Commandments For Managing Value At Risk Under The Basel Ii Accord," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 850-855, December.
    30. Suhejla Hoti & Michael McAleer & Laurent L. Pauwels, 2007. "Measuring Risk In Environmental Finance," Journal of Economic Surveys, Wiley Blackwell, vol. 21(5), pages 970-998, December.
    31. Michael McAleer, 2009. "The Ten Commandments For Optimizing Value‐At‐Risk And Daily Capital Charges," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 831-849, December.
    32. Chia-Lin Chang & Michael Mcaleer, 2009. "Daily Tourist Arrivals, Exchange Rates and Voatility for Korea and Taiwan," Korean Economic Review, Korean Economic Association, vol. 25, pages 241-267.
    33. Ana Bartolome & Michael McAleer & Vicente Ramos & Javier Rey-Maquieira, 2009. "Risk Management for International Tourist Arrivals: An Application to the Balearic Islands, Spain," CIRJE F-Series CIRJE-F-665, CIRJE, Faculty of Economics, University of Tokyo.
    34. Chang, C-L. & Huang, B-W. & Chen, M-G., 2010. "Modelling the Asymmetric Volatility in Hog Prices in Taiwan," Econometric Institute Research Papers EI 2010-46, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  298. Felix Chan & Michael McAleer, 2002. "Maximum likelihood estimation of STAR and STAR-GARCH models: theory and Monte Carlo evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 509-534.

    Cited by:

    1. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    2. Melike Bildirici & Nilgun Guler Bayazit & Yasemen Ucan, 2020. "Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM," Energies, MDPI, vol. 13(11), pages 1-18, June.
    3. Jieye Qin & Christopher J. Green & Kavita Sirichand, 2019. "Determinants of Nikkei futures mispricing in international markets: Dividend clustering, currency risk, and transaction costs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1269-1300, October.
    4. Maringer Dietmar G. & Meyer Mark, 2008. "Smooth Transition Autoregressive Models -- New Approaches to the Model Selection Problem," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(1), pages 1-21, March.
    5. Tolga Omay & Furkan Emirmahmutoğlu, 2017. "The Comparison of Power and Optimization Algorithms on Unit Root Testing with Smooth Transition," Computational Economics, Springer;Society for Computational Economics, vol. 49(4), pages 623-651, April.
    6. Melike Bildirici & Özgür Ömer Ersin, 2014. "Nonlinearity, Volatility and Fractional Integration in Daily Oil Prices: Smooth Transition Autoregressive ST-FI(AP)GARCH Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 108-135, October.
    7. Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
    8. Chen, Cathy W.S. & Gerlach, Richard H. & Tai, Amanda P.J., 2008. "Testing for nonlinearity in mean and volatility for heteroskedastic models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 489-499.
    9. Frauke Schleer, 2015. "Finding Starting-Values for the Estimation of Vector STAR Models," Econometrics, MDPI, vol. 3(1), pages 1-26, January.
    10. Beatriz Catalan & F. Javier Trivez, 2007. "Forecasting volatility in GARCH models with additive outliers," Quantitative Finance, Taylor & Francis Journals, vol. 7(6), pages 591-596.
    11. Lai, YiHao & Chen, Cathy W.S. & Gerlach, Richard, 2009. "Optimal dynamic hedging via copula-threshold-GARCH models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2609-2624.
    12. Christopher Krauss & Klaus Herrmann, 2017. "On the Power and Size Properties of Cointegration Tests in the Light of High-Frequency Stylized Facts," JRFM, MDPI, vol. 10(1), pages 1-24, February.
    13. Kevin B. Grier & Aaron D. Smallwood, 2007. "Uncertainty and Export Performance: Evidence from 18 Countries," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(4), pages 965-979, June.
    14. Omay, Tolga & Iren, Perihan, 2019. "Behavior of foreign investors in the Malaysian stock market in times of crisis: A nonlinear approach," Journal of Asian Economics, Elsevier, vol. 60(C), pages 85-100.
    15. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    16. Wago, Hajime, 2004. "Bayesian estimation of smooth transition GARCH model using Gibbs sampling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 63-78.
    17. Chan, F. & McAleer, M.J. & Medeiros, M.C., 2011. "Structure and Asymptotic theory for Nonlinear Models with GARCH Errors," Econometric Institute Research Papers EI 2010-79, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Murat Midilic, 2016. "Estimation Of Star-Garch Models With Iteratively Weighted Least Squares," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/918, Ghent University, Faculty of Economics and Business Administration.
    19. Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.
    20. Novella Maugeri, 2014. "Some Pitfalls in Smooth Transition Models Estimation: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 339-378, October.
    21. Thomas Chuffart, 2015. "Selection Criteria in Regime Switching Conditional Volatility Models," Post-Print hal-01457388, HAL.
    22. Hwang, Tsorng-Chyi & Chen, Meng-Gu & Chang, Chia-Lin, 2011. "Price stabilization in the Taiwan hog and broiler industries: Evidence from a STAR approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(2), pages 213-219.
    23. Omay, Tolga, 2012. "The comparison of optimization algorithms on unit root testing with smooth transition," MPRA Paper 42129, University Library of Munich, Germany.
    24. Glen Livingston Jr & Darfiana Nur, 2020. "Bayesian estimation and model selection of a multivariate smooth transition autoregressive model," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
    25. Mawuli Segnon & Rangan Gupta & Keagile Lesame & Mark E. Wohar, 2021. "High-Frequency Volatility Forecasting of US Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 62(2), pages 283-317, February.
    26. Chan, Felix & Theoharakis, Billy, 2011. "Estimating m-regimes STAR-GARCH model using QMLE with parameter transformation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1385-1396.
    27. Petri Maki-Franti, 2008. "Money and stock returns: is there habit formation for holding liquid assets?," International Economic Journal, Taylor & Francis Journals, vol. 22(1), pages 63-80.
    28. Tolga Omay, 2011. "The relationship between inflation, output growth, and their uncertainties: Nonlinear Multivariate GARCH-M evidence," Economics Bulletin, AccessEcon, vol. 31(4), pages 3006-3015.
    29. Buncic, Daniel, 2017. "Identification and Estimation issues in Exponential Smooth Transition Autoregressive Models," Working Paper Series 344, Sveriges Riksbank (Central Bank of Sweden).
    30. Alessandra Canepa & Emilio Zanetti Chini & Huthaifa Alqaralleh, 2022. "Global Cities and Local Challenges: Booms and Busts in the London Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 64(1), pages 1-29, January.
    31. Glen Livingston & Darfiana Nur, 2020. "Bayesian inference of smooth transition autoregressive (STAR)(k)–GARCH(l, m) models," Statistical Papers, Springer, vol. 61(6), pages 2449-2482, December.
    32. Murat Midiliç, 2020. "Estimation of STAR–GARCH Models with Iteratively Weighted Least Squares," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 87-117, January.
    33. Schleer, Frauke, 2013. "Finding starting-values for maximum likelihood estimation of vector STAR models," ZEW Discussion Papers 13-076, ZEW - Leibniz Centre for European Economic Research.
    34. Marcelo Cunha Medeiros & Felix Chan & Michael McAller, 2005. "Structure and asymptotic theory for STAR(1)-GARCH(1,1) models," Textos para discussão 506, Department of Economics PUC-Rio (Brazil).
    35. G. Dufrenot & L. Mathieu & V. Mignon, & A. Peguin-Feissolle, 2002. "Persistent misalignments of the European exchange rates : some evidence from nonlinear cointegration," Thema Working Papers 2002-29, THEMA (Théorie Economique, Modélisation et Applications), CY Cergy-Paris University, ESSEC and CNRS.
    36. Andreea Halunga & Chris D. Orme, 2007. "First order asymptotic theory for parametric misspecification tests of GARCH models," Economics Discussion Paper Series 0721, Economics, The University of Manchester.
    37. Thomas Chuffart & Emmanuel Flachaire & Anne Peguin-Feissolle, 2018. "Testing for misspecification in the short-run component of GARCH-type models," Post-Print hal-02083772, HAL.
    38. Hu Liang & Shin Yongcheol, 2008. "Optimal Test for Markov Switching GARCH Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-27, September.

  299. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.

    Cited by:

    1. Cagli, Efe Caglar & Taskin, Dilvin & Evrim Mandaci, Pınar, 2019. "The short- and long-run efficiency of energy, precious metals, and base metals markets: Evidence from the exponential smooth transition autoregressive models," Energy Economics, Elsevier, vol. 84(C).
    2. Galán-Gutiérrez, Juan Antonio & Martín-García, Rodrigo, 2021. "Cointegration between the structure of copper futures prices and Brexit," Resources Policy, Elsevier, vol. 71(C).
    3. Yong-Hyong Kim & Song-Jun Ham & Chong-Sim Ri & Won-Hyok Kim & Wi-Song Ri, 2025. "Application of empirical wavelet transform, particle swarm optimization, gravitational search algorithm and long short-term memory neural network to copper price forecasting," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 24(1), pages 151-169, January.
    4. Xiangyu Chen & Jittima Tongurai, 2021. "The Relationship Between China’s Real Estate Market and Industrial Metals Futures Market: Evidence from Non-price Measures of the Real Estate Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(4), pages 527-561, December.
    5. Yu, Hui & Ding, Yinghui & Sun, Qingru & Gao, Xiangyun & Jia, Xiaoliang & Wang, Xinya & Guo, Sui, 2021. "Multi-scale comovement of the dynamic correlations between copper futures and spot prices," Resources Policy, Elsevier, vol. 70(C).
    6. Juan Antonio Galán-Gutiérrez & Rodrigo Martín-García, 2022. "Fundamentals vs. Financialization during Extreme Events: From Backwardation to Contango, a Copper Market Analysis during the COVID-19 Pandemic," Mathematics, MDPI, vol. 10(4), pages 1-23, February.
    7. Chen, Xiangyu & Tongurai, Jittima, 2023. "Informational linkage and price discovery between China's futures and spot markets: Evidence from the US–China trade dispute," Global Finance Journal, Elsevier, vol. 55(C).
    8. Joseph, Anto & Sisodia, Garima & Tiwari, Aviral Kumar, 2014. "A frequency domain causality investigation between futures and spot prices of Indian commodity markets," Economic Modelling, Elsevier, vol. 40(C), pages 250-258.
    9. Yang, Linghubo & Zhang, Dongxiang, 2013. "Can futures price be a powerful predictor? Frequency domain analysis on Chinese commodity market," Economic Modelling, Elsevier, vol. 35(C), pages 264-271.
    10. Chen, Xiangyu & Tongurai, Jittima, 2022. "Spillovers and interdependency across base metals: Evidence from China's futures and spot markets," Resources Policy, Elsevier, vol. 75(C).
    11. P., Srinivasan, 2011. "Price Discovery and Volatility Spillovers in Indian Spot-Futures Commodity Market," MPRA Paper 47412, University Library of Munich, Germany.

  300. Philip Hans Franses & Michael McAleer, 2002. "Financial volatility: an introduction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 419-424.

    Cited by:

    1. Shiqing Ling & Michael McAleer & Howell Tong, 2015. "Frontiers in Time Series and Financial Econometrics: An Overview," Tinbergen Institute Discussion Papers 15-026/III, Tinbergen Institute.
    2. Junru Zhang & Hadrian Geri Djajadikerta & Zhaoyong Zhang, 2018. "Does Sustainability Engagement Affect Stock Return Volatility? Evidence from the Chinese Financial Market," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    3. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Ekong, Christopher N. & Onye, Kenneth U., 2017. "Application of Garch Models to Estimate and Predict Financial Volatility of Daily Stock Returns in Nigeria," MPRA Paper 88309, University Library of Munich, Germany.
    5. Ipek M. Yurttaguler, 2024. "Analysis of Istanbul Stock Market Returns Volatility with ARCH and GARCH Models," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 37-58, June.
    6. Caginalp, Carey & Caginalp, Gunduz & Swigon, David, 2021. "Stochastic asset flow equations: Interdependence of trend and volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    7. Ling, S. & McAleer, M.J. & Tong, H., 2015. "Frontiers in Time Series and Financial Econometrics," Econometric Institute Research Papers EI 2015-07, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Caginalp, Carey & Caginalp, Gunduz, 2020. "Derivation of non-classical stochastic price dynamics equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    9. Mehmet Sahiner, 2022. "Forecasting volatility in Asian financial markets: evidence from recursive and rolling window methods," SN Business & Economics, Springer, vol. 2(10), pages 1-74, October.
    10. Carey Caginalp & Gunduz Caginalp, 2019. "Derivation of non-classical stochastic price dynamics equations," Papers 1908.01103, arXiv.org, revised Aug 2020.
    11. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    12. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2013. "How does news sentiment impact asset volatility? Evidence from long memory and regime-switching approaches," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 436-456.
    13. Liu, Heping & Erdem, Ergin & Shi, Jing, 2011. "Comprehensive evaluation of ARMA-GARCH(-M) approaches for modeling the mean and volatility of wind speed," Applied Energy, Elsevier, vol. 88(3), pages 724-732, March.

  301. Michael McAleer & Les Oxley, 2002. "The Ten Commandments for Presenting a Conference Paper," Journal of Economic Surveys, Wiley Blackwell, vol. 16(2), pages 215-218, April.

    Cited by:

    1. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.
    2. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Stuart Sayer, 2009. "Issues In Finance: Credit, Crises And Policies – An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 795-797, December.
    4. Michael McAleer & Les Oxley, 2005. "The Ten Commandments for Academics," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 823-826, December.
    5. Michael McAleer, 2005. "The ten commandments for ranking university quality," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 649-653, September.
    6. McAleer, M.J. & Oxley, L., 2010. "Ten Things We Should Know About Time Series," Econometric Institute Research Papers EI 2010-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  302. John M. Sequeira & Michael McAleer & Ying‐Foon Chow, 2001. "Efficient Estimation and Testing of Alternative Models of Currency Futures Contracts," The Economic Record, The Economic Society of Australia, vol. 77(238), pages 270-282, September.

    Cited by:

    1. John M. Sequeira & Pang Chia Chiat & Michael McAleer, 2003. "Volatility Models of Currency Futures in Developed and Emerging Markets," CIRJE F-Series CIRJE-F-210, CIRJE, Faculty of Economics, University of Tokyo.
    2. Inci, Ahmet Can, 2008. "The Japanese yen futures returns, spot returns, and the risk premium," Global Finance Journal, Elsevier, vol. 18(3), pages 385-399.
    3. Inci, Ahmet Can & Lu, Biao, 2007. "Currency futures-spot basis and risk premium," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 17(2), pages 180-197, April.

  303. Christine Lim & Michael McAleer, 2001. "Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1599-1619.

    Cited by:

    1. Egon Smeral & Michael Wüger, 2004. "Does Complexity Matter? Methods for Improving Forecasting Accuracy in Tourism," WIFO Working Papers 225, WIFO.
    2. Jorge V. Pérez-Rodríguez & Heiko Rachinger & Rafael Suárez-Vega, 2024. "Is peer-to-peer demand cointegrated at the listing level?," Empirical Economics, Springer, vol. 66(5), pages 2249-2275, May.
    3. Chia-Lin Chang & Hui-Kuang Hsu & Michael McAleer, 2017. "A Tourism Financial Conditions Index for Tourism Finance," Tinbergen Institute Discussion Papers 17-071/III, Tinbergen Institute.
    4. Cem Işık & Ercan Sirakaya-Turk & Serdar Ongan, 2020. "Testing the efficacy of the economic policy uncertainty index on tourism demand in USMCA: Theory and evidence," Tourism Economics, , vol. 26(8), pages 1344-1357, December.
    5. George Athanasopoulos & Rob J. Hyndman, 2006. "Modelling and forecasting Australian domestic tourism," Monash Econometrics and Business Statistics Working Papers 19/06, Monash University, Department of Econometrics and Business Statistics.
    6. Nada Kulendran & Sarath Divisekera, 2007. "Measuring the Economic Impact of Australian Tourism Marketing Expenditure," Tourism Economics, , vol. 13(2), pages 261-274, June.
    7. Valadkhani, Abbas & O’Mahony, Barry, 2015. "Dynamics of Australia’s tourism in a multimarket context," Annals of Tourism Research, Elsevier, vol. 55(C), pages 173-177.
    8. Deba Prasad Rath & Rudra Sensarma, 2006. "Money-Price Variability and Asset Prices Volatility: Evidence from India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 4(2), pages 59-74, July.
    9. -, 2011. "An assessment of the economic impact of climate change on the tourism sector in the Bahamas," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38601, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    10. Tsui, Wai Hong Kan & Fung, Michael Ka Yiu, 2016. "Causality between business travel and trade volumes: Empirical evidence from Hong Kong," Tourism Management, Elsevier, vol. 52(C), pages 395-404.
    11. Haiqi Li & Sung Yong Park & Joo Hwan Seo, 2011. "Quantile Elasticity of International Tourism Demand for South Korea Using the Quantile Autoregressive Distributed Lag Model," Tourism Economics, , vol. 17(5), pages 997-1015, October.
    12. Xiang Ji & Shiqi Zhang & Yuan Lu, 2023. "Does an Environmental Management System Affect Green Inno-Vation: The Role of Green Financing in China’s Tourism Sector in a Circular Economy," Sustainability, MDPI, vol. 15(8), pages 1-10, April.
    13. -, 2011. "An assessment of the economic impact of climate change on the water sector in the Turks and Caicos Islands," Sede Subregional de la CEPAL para el Caribe (Estudios e Investigaciones) 38581, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    14. Ambachew Mekonnen Sisay, . "Determinants of private investment in Ethiopia: a time series study," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(01).
    15. Sun, Lili & van Kooten, G. Cornelis & Voss, Graham M., 2003. "Demand For Wildlife Hunting In British Columbia," Working Papers 18165, University of Victoria, Resource Economics and Policy.
    16. Li, Cheng & Ge, Peng & Liu, Zhusheng & Zheng, Weimin, 2020. "Forecasting tourist arrivals using denoising and potential factors," Annals of Tourism Research, Elsevier, vol. 83(C).
    17. Paresh Kumar Narayan, 2004. "Fiji's Tourism Demand: The ARDL Approach to Cointegration," Tourism Economics, , vol. 10(2), pages 193-206, June.
    18. Marcos Alvarez-Díaz & Mª Soledad Otero-Giraldez & Manuel González-Gómez, 2015. "La Modelización de la Demanda de Turismo de Economías Emergentes: El caso de la Llegada de Turistas Rusos a España," Working Papers 1503, Universidade de Vigo, Departamento de Economía Aplicada.
    19. Yun-Huan Lee & William S. Chang, 2016. "Analyzing the effects of economic factors on modeling the diffusion of foreign exchange earnings from tourism in Taiwan," Tourism Economics, , vol. 22(5), pages 1126-1131, October.
    20. E. M. Ekanayake & Mihalis Halkides & John R. Ledgerwood, 2012. "Inbound International Tourism To The United States: A Panel Data Analysis," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 5(3), pages 15-27.
    21. K. Ravinthirakumaran & E. A. Selvanathan & S. Selvanathan & T. Singh, 2019. "Tourism and Foreign Direct Investment Inflows in Sri Lanka," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(2), pages 248-273, September.
    22. Sung Yong Park & Sang Young Jei, 2010. "Determinants of volatility on international tourism demand for South Korea: an empirical note," Applied Economics Letters, Taylor & Francis Journals, vol. 17(3), pages 217-223, February.
    23. Allen, David & Yap, Ghialy & Shareef, Riaz, 2009. "Modelling interstate tourism demand in Australia: A cointegration approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2733-2740.
    24. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    25. Boopendra seetanah & Raja Vinesh Sannassee & Viraiyen Teeroovengadum, 2017. "Air Access Liberalisation, Marketing Promotion And Tourism Trade," Proceedings of International Academic Conferences 5207098, International Institute of Social and Economic Sciences.
    26. Christine Lim & Michael McAleer, 2003. "Modelling International Travel Demand from Singapore to Australia," CIRJE F-Series CIRJE-F-214, CIRJE, Faculty of Economics, University of Tokyo.
    27. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.
    28. Chien-Ming Wang & Su-Lan Pan & Alastair M. Morrison & Tsung-Pao Wu, 2022. "The dynamic linkages among outbound tourism, economic growth, and international trade: empirical evidence from China," SN Business & Economics, Springer, vol. 2(11), pages 1-18, November.
    29. Sarod Khandaker & Silvia Zia Islam, 2017. "International Tourism Demand and Macroeconomic Factors," International Journal of Economics and Financial Issues, Econjournals, vol. 7(5), pages 389-393.
    30. Shuang Cang, 2011. "A Non-Linear Tourism Demand Forecast Combination Model," Tourism Economics, , vol. 17(1), pages 5-20, February.
    31. Dogru, Tarik & Sirakaya-Turk, Ercan & Crouch, Geoffrey I., 2017. "Remodeling international tourism demand: Old theory and new evidence," Tourism Management, Elsevier, vol. 60(C), pages 47-55.
    32. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
    33. Luis Alberiko Gil-Alaña, 2010. "Tourism in South Africa. Time series persistence and the nature of shocks. Are they transitory or permament?," NCID Working Papers 06/2011, Navarra Center for International Development, University of Navarra.
    34. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
    35. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    36. J. Cunado & L.A. Gil-Alana & F. P Erez de Gracia, 2008. "Fractional Integration and Structural Breaks: Evidence from International Monthly Arrivals in the USA," Tourism Economics, , vol. 14(1), pages 13-23, March.
    37. Luis A. Gil-Alana, 2010. "International Arrivals in the Canary Islands: Persistence, Long Memory, Seasonality and other Implicit Dynamics," Tourism Economics, , vol. 16(2), pages 287-302, June.
    38. Gunter, Ulrich & Önder, Irem, 2016. "Forecasting city arrivals with Google Analytics," Annals of Tourism Research, Elsevier, vol. 61(C), pages 199-212.
    39. Chin-Mei Chou & Shu Fen Hsieh & Hsi Peng Tseng, 2014. "The Crowding-out Effects of Chinese Tourists on Inbound Tourism in Taiwan," Tourism Economics, , vol. 20(6), pages 1235-1251, December.
    40. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
    41. Yoichi Matsubayashi & Yoshihisa Inada, 2023. "Individual tourist expenditures in Japan during the inbound tourism boom period (2015–2017): Empirical evidence from micro survey data," Asian Economic Journal, East Asian Economic Association, vol. 37(4), pages 492-518, December.
    42. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    43. Seetaram, Neelu, 2010. "Computing airfare elasticities or opening Pandora's box," Research in Transportation Economics, Elsevier, vol. 26(1), pages 27-36.
    44. Muhammad Shafiullah & Luke Emeka Okafor & Usman Khalid, 2019. "Determinants of international tourism demand: Evidence from Australian states and territories," Tourism Economics, , vol. 25(2), pages 274-296, March.
    45. Zdravko Šergo & Amorino Poropat & Pavlo Ružić, 2014. "The determinants of length of stay and arrivals of tourists in the Croatia: a panel data approach," Tourism and Hospitality Industry section8-4, University of Rijeka, Faculty of Tourism and Hospitality Management.
    46. Christine Lim & Michael McAleer, 2001. "Modelling the Determinants of International Tourism Demand to Australia," ISER Discussion Paper 0532, Institute of Social and Economic Research, The University of Osaka.
    47. Koo, Tay T.R. & Tan, David T. & Duval, David Timothy, 2013. "Direct air transport and demand interaction: A vector error-correction model approach," Journal of Air Transport Management, Elsevier, vol. 28(C), pages 14-19.
    48. Ambachew, Mekonnen Sisay, 2011. "Determinants of Private Investment in Ethiopia: a Time Series Study," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(01), pages 180-180, September.
    49. Saroja Selvanathan, 2007. "The effect of war and other factors on Sri Lankan tourism," Applied Economics Letters, Taylor & Francis Journals, vol. 14(1), pages 35-38.
    50. Paresh Kumar Narayan, 2006. "Are Australia's tourism markets converging?," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1153-1162.
    51. Seetaram, Neelu, 2012. "Immigration and international inbound tourism: Empirical evidence from Australia," Tourism Management, Elsevier, vol. 33(6), pages 1535-1543.

  304. Kazumitsu Nawata & Michael McAleer, 2001. "Size Characteristics Of Tests For Sample Selection Bias: A Monte Carlo Comparison And Empirical Example," Econometric Reviews, Taylor & Francis Journals, vol. 20(1), pages 105-112.

    Cited by:

    1. Yamagata, Takashi, 2006. "The small sample performance of the Wald test in the sample selection model under the multicollinearity problem," Economics Letters, Elsevier, vol. 93(1), pages 75-81, October.
    2. Belkar, R. & Fiebig, D.G., 2008. "A Monte Carlo comparison of estimators for a bivariate probit model with selection," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 250-256.
    3. Kim, Chang-Jin & Piger, Jeremy & Startz, Richard, 2008. "Estimation of Markov regime-switching regression models with endogenous switching," Journal of Econometrics, Elsevier, vol. 143(2), pages 263-273, April.
    4. Yamagata. T., 2005. "On Testing Sample Selection Bias under the Multicollinearity Problem," Cambridge Working Papers in Economics 0522, Faculty of Economics, University of Cambridge.
    5. Rosalie Viney & Marion Haas & Rochelle Belkar & Denzil G. Fiebig, 2004. "Why worry about awareness in choice problems? Econometric analysis of screening for cervical cancer," Econometric Society 2004 Australasian Meetings 109, Econometric Society.
    6. Dawood Ashraf & Yener Altunbas & John Goddard, 2007. "Who Transfers Credit Risk? Determinants of the Use of Credit Derivatives by Large US Banks," The European Journal of Finance, Taylor & Francis Journals, vol. 13(5), pages 483-500.
    7. Maria Ana Odejar & Kostas Mavromaras & Mandy Ryan, 2004. "Messy Data Modelling in Health Care Contingent Valuation Studies," Econometric Society 2004 North American Summer Meetings 406, Econometric Society.
    8. Kazumitsu Nawata, 2007. "A monte carlo analysis of the type II tobit maximum likelihood estimator when the true model is the type I tobit model," Economics Bulletin, AccessEcon, vol. 3(54), pages 1-10.

  305. Michael McAleer & Les Oxley, 2001. "The Ten Commandments for Attending a Conference," Journal of Economic Surveys, Wiley Blackwell, vol. 15(5), pages 671-678, December.

    Cited by:

    1. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.
    2. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Stuart Sayer, 2009. "Issues In Finance: Credit, Crises And Policies – An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 795-797, December.
    4. Michael McAleer & Les Oxley, 2005. "The Ten Commandments for Academics," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 823-826, December.
    5. Michael McAleer, 2005. "The ten commandments for ranking university quality," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 649-653, September.
    6. McAleer, M.J. & Oxley, L., 2010. "Ten Things We Should Know About Time Series," Econometric Institute Research Papers EI 2010-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  306. Madsen, Jakob B. & McAleer, Michael, 2001. "Consumption, liquidity constraints, uncertainty and temptation: An international comparison," Journal of Economic Psychology, Elsevier, vol. 22(1), pages 61-89, February.

    Cited by:

    1. Dovchinsuren, Khaliun, 2023. "How does excessive volatility of consumption vary across countries?," Japan and the World Economy, Elsevier, vol. 67(C).

  307. Kenneth Leong & Michael McAleer, 2000. "Testing long-run neutrality using intra-year data," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 25-37.

    Cited by:

    1. Tang, Maggie May-Jean, 2016. "A Review of the Literature on Monetary Neutrality," MPRA Paper 70113, University Library of Munich, Germany.
    2. Kuek, Tai Hock, 2016. "A Review of Literature on Monetary Neutrality - The case of India," MPRA Paper 71962, University Library of Munich, Germany, revised 13 Jun 2016.
    3. Tang, Maggie May-Jean & Puah, Chin-Hong & Awang Marikan, Dayang-Affizzah, 2013. "Empirical Evidence on the Long-Run Neutrality Hypothesis Using Divisia Money," MPRA Paper 50020, University Library of Munich, Germany.
    4. Cai, Yifei, 2016. "货币供给数量、结构与经济增长—来自adl门限协整检验与时变格兰杰因果关系检验的证据 [Quantity and Structure of Money Supply and Economic Growth— Evidence from ADL Test for Threshold Cointegration and Time-varying Granger Causality Relation Test]," MPRA Paper 73750, University Library of Munich, Germany.
    5. Puah, Chin-Hong & Habibullah, Muzafar Shah & Abu Mansor, Shazali, 2008. "Some Empirical Evidence on the Quantity Theoretic Proposition of Money in ASEAN-5," MPRA Paper 31768, University Library of Munich, Germany.
    6. Kartaev, Philipp (Картаев, Филипп) & Gerelishina, Alina (Герелишина, Алина), 2025. "Is There Long-Run Monetary Neutrality in Russia? [Долгосрочная Нейтральность Денег: Наблюдается Ли Она В России?]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, issue 1, pages 6-29.
    7. Puah, Chin-Hong & Habibullah, Muzafar Shah & Lim, Kian-Ping, 2006. "Testing long-run neutrality of money: evidence from Malaysian stock market," MPRA Paper 37676, University Library of Munich, Germany.
    8. Habibullah, Muzafar & Hong, Puah & Mohamed, Azali, 2001. "Testing Long-Run Neutrality of Money in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 35, pages 69-83.

  308. Christine Lim & Michael McAleer, 2000. "A seasonal analysis of Asian tourist arrivals to Australia," Applied Economics, Taylor & Francis Journals, vol. 32(4), pages 499-509.

    Cited by:

    1. Cuccia, Tiziana & Rizzo, Ilde, 2011. "Tourism seasonality in cultural destinations: Empirical evidence from Sicily," Tourism Management, Elsevier, vol. 32(3), pages 589-595.
    2. Anna Serena Vergori, 2012. "Forecasting Tourism Demand: The Role of Seasonality," Tourism Economics, , vol. 18(5), pages 915-930, October.
    3. Niccolò Comerio & Fernanda Strozzi, 2019. "Tourism and its economic impact: A literature review using bibliometric tools," Tourism Economics, , vol. 25(1), pages 109-131, February.
    4. Christine Lim & Michael McAleer, 2001. "Time Series Forecasts of International Tourism Demand for Australia," ISER Discussion Paper 0533, Institute of Social and Economic Research, The University of Osaka.
    5. Amitrajeet A Batabyal & Hamid Beladi, 2010. "A stochastic model of the provision of guided tours to tourists," Economics Bulletin, AccessEcon, vol. 30(1), pages 577-586.
    6. Cellini, Roberto & Cuccia, Tiziana, 2009. "Museum and monument attendance and tourism flow: A time series analysis approach," MPRA Paper 18908, University Library of Munich, Germany.
    7. Evren Erdoğan Cosar, 2006. "Seasonal behaviour of the consumer price index of Turkey," Applied Economics Letters, Taylor & Francis Journals, vol. 13(7), pages 449-455.
    8. Brida, Juan Gabriel & Pereyra, Juan Sebastián & Such, María Jesús & Pulina, Manuela, 2011. "Causalidad entre turismo y crecimiento económico de largo plazo: una revisión crítica de la literatura econométrica [Causality between tourism and long-term economic growth: a critical review of the econometric literature]," MPRA Paper 37332, University Library of Munich, Germany, revised 2011.
    9. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2008. "A Panel Unit Root and Panel Cointegration Test of the Modeling International Tourism Demand in India," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 8(1), pages 95-124.
    10. Burak Darici & Ahmet Aydin & Fatih Ayhan & Merve Altaylar, 2023. "Macroeconomic Determinants of Tourism Demand Toward Emerging Markets," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-2), pages 837-864, December.
    11. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    12. Mustafa Terzioglu & Ummuhan Gokovali, 2016. "Economic linkages and leakages in the hotel industry," Tourism Economics, , vol. 22(4), pages 715-728, August.
    13. Batabyal, Amitrajeet A. & Yoo, Seung Jick, 2010. "A probabilistic analysis of guided tours for tourists during the slack season," Tourism Management, Elsevier, vol. 31(4), pages 482-485.
    14. Obed I. Ojonta & Jonathan E. Ogbuabor, 2024. "Effects of tourism and institutional quality on infrastructural development in Africa: new evidence from the system GMM technique," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 59(2), pages 101-117, April.
    15. Komkrit Wongkhae & Songsak Sriboonchitta & Kanchana Choketaworn & Chukiat Chaiboonsri, 2012. "Does price matter? The FMOLS and DOLS estimation of industrial countries tourists outbound to four ASEAN countries," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(4), pages 107-128, December.
    16. Wang, Tai-Yue & Huang, Chien-Yu, 2007. "Improving forecasting performance by employing the Taguchi method," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1052-1065, January.
    17. David Tan & Kan Tsui, 2017. "Investigating causality in international air freight and business travel: The case of Australia," Urban Studies, Urban Studies Journal Limited, vol. 54(5), pages 1178-1193, April.
    18. Liang Zhu & Christine Lim & Wenjun Xie & Yuan Wu, 2017. "Analysis of tourism demand serial dependence structure for forecasting," Tourism Economics, , vol. 23(7), pages 1419-1436, November.
    19. Christine Lim & Michael McAleer, 2003. "Modelling International Travel Demand from Singapore to Australia," CIRJE F-Series CIRJE-F-214, CIRJE, Faculty of Economics, University of Tokyo.
    20. Chukiat Chaiboonsri & Prasert Chaitip & N. Rangaswamy, 2009. "Modelling International Tourism Demand in Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 9(3), pages 125-146.
    21. Bernardina Algieri, 2006. "An Econometric Estimation of the Demand for Tourism: The Case of Russia," Tourism Economics, , vol. 12(1), pages 5-20, March.
    22. Chukiat CHAIBOONSRI & Prasert CHAITIP, 2012. "Trends and Perspectives Regarding the Evolution of the Concept of Economic Intelligence within the Context of the Economic Crisis," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(2), pages 1-7, April.
    23. Chukiat Chaiboonsri & Jittaporn Sriboonjit & Thanes Sriwichailamphan & Prasert Chaitip & Songsak Sriboonchitta, 2010. "A Panel Cointegration Analysis: An Application To International Tourism Demand Of Thailand," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 10(3), pages 69-86.
    24. Artur C. B. da Silva Lopes, 2004. "Deterministic Seasonality in Dickey-Fuller Tests: Should We Care?," Econometrics 0402007, University Library of Munich, Germany, revised 18 Mar 2004.
    25. Batabyal, Amitrajeet A. & Beladi, Hamid, 2011. "An alternate approach to modeling the slack season provision of guided tours to tourists," Tourism Management, Elsevier, vol. 32(5), pages 1047-1049.
    26. Habibi, Fateh & Abdul Rahim, Khalid & Chin, Lee, 2008. "United Kingdom and United States Tourism Demand for Malaysia:A Cointegration Analysis," MPRA Paper 13590, University Library of Munich, Germany.
    27. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
    28. Marcos à lvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2019. "Estimating the economic impact of a political conflict on tourism: The case of the Catalan separatist challenge," Tourism Economics, , vol. 25(1), pages 34-50, February.
    29. Chang, Chia-Lin & Sriboonchitta, Songsak & Wiboonpongse, Aree, 2009. "Modelling and forecasting tourism from East Asia to Thailand under temporal and spatial aggregation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1730-1744.
    30. Nathalie MONTARGOT & Abdessamad OUCHEN, 2018. "L’IDH, la stabilité politique et l’absence de violence- terrorisme comme facteurs explicatifs de l’attractivité touristique : le cas du bassin méditerranéen," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 63-80.
    31. Muhammad Shafiullah & Luke Emeka Okafor & Usman Khalid, 2019. "Determinants of international tourism demand: Evidence from Australian states and territories," Tourism Economics, , vol. 25(2), pages 274-296, March.
    32. Jian-Wu Bi & Tian-Yu Han & Yanbo Yao, 2024. "Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model," Tourism Economics, , vol. 30(2), pages 361-388, March.
    33. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2018. "Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming," Forecasting, MDPI, vol. 1(1), pages 1-17, September.
    34. Christine Lim & Michael McAleer, 2001. "Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia," Applied Economics, Taylor & Francis Journals, vol. 33(12), pages 1599-1619.
    35. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.
    36. Christine Lim & Michael McAleer, 2001. "Modelling the Determinants of International Tourism Demand to Australia," ISER Discussion Paper 0532, Institute of Social and Economic Research, The University of Osaka.
    37. Seetaram, Neelu, 2012. "Immigration and international inbound tourism: Empirical evidence from Australia," Tourism Management, Elsevier, vol. 33(6), pages 1535-1543.

  309. John Sequeira & MICHAEL McALEER, 2000. "Testing the risk premium and cost-of-carry hypotheses for currency futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 277-289.

    Cited by:

    1. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
    2. Tan Hock Ann, Albert & Alles, Lakshman, 2000. "An examination of causality and predictability between Australian domestic and offshore interest rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(1), pages 83-106, January.
    3. Roselyne Joyeux & George Milunovich, 2010. "Testing market efficiency in the EU carbon futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 20(10), pages 803-809.
    4. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.

  310. Ying‐Foon Chow & Michael McAleer & John Sequeira, 2000. "Pricing of Forward and Futures Contracts," Journal of Economic Surveys, Wiley Blackwell, vol. 14(2), pages 215-253, April.

    Cited by:

    1. Dolatabadi, Sepideh & Nielsen, Morten Ørregaard & Xu, Ke, 2016. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 623-639.
    2. Sung Je Byun, 2016. "Speculation in Commodity Futures Markets, Inventories and the Price of Crude Oil," Occasional Papers 16-3, Federal Reserve Bank of Dallas.
    3. Scott, Ayesha & Schoen, Tilman & Fernandez-Perez, Adrian, "undated". "The Predictive Power of NZX Dairy Futures," 2020 Conference (64th), February 12-14, 2020, Perth, Western Australia 305230, Australian Agricultural and Resource Economics Society.
    4. Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
    5. Iqra Nazir & Nermish Mushtaq & Waqas Amin, 2025. "Smart Grid Systems: Addressing Privacy Threats, Security Vulnerabilities, and Demand–Supply Balance (A Review)," Energies, MDPI, vol. 18(19), pages 1-77, September.
    6. Chris D'Souza, 2002. "How Do Canadian Banks That Deal in Foreign Exchange Hedge Their Exposure to Risk?," Staff Working Papers 02-34, Bank of Canada.
    7. Bredin, Don & Potì, Valerio & Salvador, Enrique, 2023. "Revisiting the Silver Crisis," Journal of Commodity Markets, Elsevier, vol. 30(C).
    8. Philippe Raimbourg & Paul Zimmermann, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," Post-Print hal-04011013, HAL.
    9. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
    10. Hesamzadeh, M.R. & Biggar, D.R. & Bunn, D.W. & Moiseeva, E., 2020. "The impact of generator market power on the electricity hedge market," Energy Economics, Elsevier, vol. 86(C).
    11. Fernandez, Viviana, 2020. "The predictive power of convenience yields," Resources Policy, Elsevier, vol. 65(C).
    12. Raimbourg, Philippe & Zimmermann, Paul, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," European Journal of Operational Research, Elsevier, vol. 298(1), pages 351-367.
    13. Adam-Müller, Axel F.A. & Nolte, Ingmar, 2011. "Cross hedging under multiplicative basis risk," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2956-2964, November.
    14. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.
    15. Dolatabadi, Sepideh & ßrregaard Nielsen, Morten & Xu, Ke, 2015. "A fractionally cointegrated VAR model with deterministic trends and application to commodity futures markets," Queen's Economics Department Working Papers 274653, Queen's University - Department of Economics.
    16. Jan Vlachý, 2016. "Valuation of Contractual Assets Using Statistical Simulation," Contemporary Economics, Vizja University, vol. 10(2), June.
    17. Edyta Marcinkiewicz, 2016. "Short Sale and Index Futures Mispricing: Evidence from the Warsaw Stock Exchange," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 547-559.
    18. Chang, Chia-Lin & McAleer, Michael & Tansuchat, Roengchai, 2011. "Crude oil hedging strategies using dynamic multivariate GARCH," Energy Economics, Elsevier, vol. 33(5), pages 912-923, September.
    19. Huang, Bwo-Nung & Yang, C.W. & Hwang, M.J., 2009. "The dynamics of a nonlinear relationship between crude oil spot and futures prices: A multivariate threshold regression approach," Energy Economics, Elsevier, vol. 31(1), pages 91-98, January.
    20. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.

  311. John Sequeira & Michael McAleer, 2000. "A market-augmented model for SIMEX Brent crude oil futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 543-552.

    Cited by:

    1. Maslyuk, Svetlana & Smyth, Russell, 2009. "Cointegration between oil spot and future prices of the same and different grades in the presence of structural change," Energy Policy, Elsevier, vol. 37(5), pages 1687-1693, May.
    2. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
    3. Riza Emekter & Benjamas Jirasakuldech & Peter Went, 2012. "Rational speculative bubbles and commodities markets: application of duration dependence test," Applied Financial Economics, Taylor & Francis Journals, vol. 22(7), pages 581-596, April.
    4. Mamatzakis, E & Remoundos, P, 2010. "Threshold Cointegration in BRENT crude futures market," MPRA Paper 19978, University Library of Munich, Germany.

  312. Madsen, Jakob B. & Mcaleer, Michael, 2000. "Direct Tests of the Permanent Income Hypothesis under Uncertainty, Inflationary Expectations and Liquidity Constraints," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 229-252, April.

    Cited by:

    1. Easaw, Joshy Z. & Garratt, Dean & Heravi, Saeed M., 2005. "Does consumer sentiment accurately forecast UK household consumption? Are there any comparisons to be made with the US?," Journal of Macroeconomics, Elsevier, vol. 27(3), pages 517-532, September.
    2. Lourenço Senne Paz & Fábio Augusto Reis Gomes, 2008. "Consumption in South America: myopia or liquidity constraints," Business and Economics Working Papers 016, Unidade de Negocios e Economia, Insper.
    3. Lourenco Senne Paz, 2006. "Consumption in Brazil: myopia or liquidity constraints? A simple test using quarterly data," Applied Economics Letters, Taylor & Francis Journals, vol. 13(15), pages 961-964.
    4. Paz, Lourenço S. & Gomes, Fábio A. R., 2008. "Consumption in South America: myopia or liquidity constraints?," Insper Working Papers wpe_148, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    5. Alessandro Federici & Pierluigi Montalbano, 2012. "Macroeconomic volatility, consumption behaviour and welfare: A cross-country analysis," Working Paper Series 3612, Department of Economics, University of Sussex Business School.
    6. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say "Probably Not"," HSE Working papers WP BRP 137/EC/2016, National Research University Higher School of Economics.
    7. Gomes, Fábio Augusto Reis, 2013. "Gasto do governo e consumo privado: Substitutos ou complementares?," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(2), June.
    8. Greasley, David & Madsen, Jakob B. & Oxley, Les, 2001. "Income Uncertainty and Consumer Spending during the Great Depression," Explorations in Economic History, Elsevier, vol. 38(2), pages 225-251, April.
    9. Jakob B Madsen & Hui Yao, 2012. "Wealth Effects In Consumption: The Financial Accelerator And Banks’ Willingness To Lend," Monash Economics Working Papers 56-12, Monash University, Department of Economics.
    10. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    11. Y. Tsuchiya, 2014. "Are consumer sentiments useful in Japan? An application of a new market-timing test," Applied Economics Letters, Taylor & Francis Journals, vol. 21(5), pages 356-359, March.
    12. E. Kilic & S. Cankaya, 2016. "Consumer confidence and economic activity: a factor augmented VAR approach," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 3062-3080, July.
    13. Madsen, Jakob B. & McAleer, Michael, 2001. "Consumption, liquidity constraints, uncertainty and temptation: An international comparison," Journal of Economic Psychology, Elsevier, vol. 22(1), pages 61-89, February.
    14. Bilgili, Faik, 2006. "Random walk, excess smoothness or excess sensitivity? Evidence from literature and an application for Turkish economy," MPRA Paper 24086, University Library of Munich, Germany, revised 14 Jul 2010.
    15. Andreas Jonsson & Staffan Lindén, 2009. "The quest for the best consumer confidence indicator," European Economy - Economic Papers 2008 - 2015 372, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Ramiz Rahmanov, 2014. "Liquidity Constraints, Loss Aversion, and Myopia: Evidence from Central and Eastern European Countries," William Davidson Institute Working Papers Series wp1082, William Davidson Institute at the University of Michigan.
    17. Ralf Fendel & Nicola Mai & Oliver Mohr, 2019. "The Shape of Eurozone’s Uncertainty: Its Impact and Predictive Value on GDP," WHU Working Paper Series - Economics Group 19-01, WHU - Otto Beisheim School of Management.

  313. Leong, Kenneth & McAleer, Michael, 1999. "Testing the life-cycle permanent income hypothesis using intra-year data for Sweden," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 551-560.

    Cited by:

    1. Kevser İnce & Eyyup Ecevit, 2026. "Consumption dynamics from the framework of consumption theories: an empirical analysis in G7 countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 60(1), pages 1979-1993, February.
    2. Magda Kandil & Ida Mirzaie, 2006. "Consumption and macroeconomic policies: Theory and evidence from developing countries," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 15(4), pages 469-491.

  314. Lim, Christine & McAleer, Michael, 1999. "A seasonal analysis of Malaysian tourist arrivals to Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 573-583.

    Cited by:

    1. Chia-Ling Chang & Thanchanok Khamkaew & Michael McAleer & Roengchai Tansuchat, 2009. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," CIRJE F-Series CIRJE-F-687, CIRJE, Faculty of Economics, University of Tokyo.
    2. Wang, Tai-Yue & Huang, Chien-Yu, 2007. "Improving forecasting performance by employing the Taguchi method," European Journal of Operational Research, Elsevier, vol. 176(2), pages 1052-1065, January.
    3. David Tan & Kan Tsui, 2017. "Investigating causality in international air freight and business travel: The case of Australia," Urban Studies, Urban Studies Journal Limited, vol. 54(5), pages 1178-1193, April.
    4. Paresh Kumar Narayan, 2011. "Are shocks to tourism transitory at business cycle horizons?," Applied Economics, Taylor & Francis Journals, vol. 43(16), pages 2071-2077.
    5. Chang, Chia-Lin & Sriboonchitta, Songsak & Wiboonpongse, Aree, 2009. "Modelling and forecasting tourism from East Asia to Thailand under temporal and spatial aggregation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1730-1744.
    6. Wai Hong Kan Tsui & Faruk Balli, 2017. "International arrivals forecasting for Australian airports and the impact of tourism marketing expenditure," Tourism Economics, , vol. 23(2), pages 403-428, March.
    7. Hari Sharma Neupane & Chandra Lal Shrestha & Tara Prasad Upadhyaya, 2012. "Modelling Monthly International Tourist Arrivals and Its Risk in Nepal," NRB Economic Review, Nepal Rastra Bank, Economic Research Department, vol. 24(1), pages 28-47, April.

  315. Sequeira, John M. & McAleer, Michael & Chow, Ying-Foon, 1999. "Estimation of alternative pricing models for currency futures contracts," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 519-530.

    Cited by:

    1. Abdul Hakim & Michael McAleer, 2009. "VaR Forecasts and Dynamic Conditional Correlations for Spot and Futures Returns on Stocks and Bonds," CIRJE F-Series CIRJE-F-676, CIRJE, Faculty of Economics, University of Tokyo.
    2. Stephen Wilcox & John Geppert, 2007. "An error-correction model for forecasting changes in foreign currency futures spreads," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 31(1), pages 122-142, March.

  316. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.
    See citations under working paper version above.
  317. Kobayashi, Masahito & McAleer, Michael, 1999. "Analytical Power Comparisons Of Nested And Nonnested Tests For Linear And Loglinear Regression Models," Econometric Theory, Cambridge University Press, vol. 15(1), pages 99-113, February.

    Cited by:

    1. Luigi Ermini & David F. Hendry, 2008. "Log Income vs. Linear Income: An Application of the Encompassing Principle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 807-827, December.
    2. Katarina Juselius & Niels Framroze Møller & Finn Tarp, 2014. "The Long-Run Impact of Foreign Aid in 36 African Countries: Insights from Multivariate Time Series Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 153-184, April.
    3. Galeotti, Marzio & Lanza, Alessandro, 1999. "Richer and cleaner? A study on carbon dioxide emissions in developing countries," Energy Policy, Elsevier, vol. 27(10), pages 565-573, October.
    4. Valentina Corradi & Norman R. Swanson, 2003. "The Effect of Data Transformation on Common Cycle, Cointegration and Unit Root Tests: Monte Carlo Results and a Simple Test," Departmental Working Papers 200322, Rutgers University, Department of Economics.
    5. Godfrey, L.G. & Santos Silva, J.M.C., 2007. "A note on variable addition tests for linear and log-linear models," Economics Letters, Elsevier, vol. 95(3), pages 422-427, June.

  318. Philip Hans Franses & Michael McAleer, 1998. "Testing for Unit Roots and Non‐linear Transformations," Journal of Time Series Analysis, Wiley Blackwell, vol. 19(2), pages 147-164, March.

    Cited by:

    1. Krämer Walter, 2002. "Statistische Besonderheiten von Finanzzeitreihen / Statistical Properties of Financial Time Series," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 222(2), pages 210-229, April.
    2. Niels Haldrup & Robinson Kruse & Timo Teräsvirta & Rasmus T. Varneskov, 2012. "Unit roots, nonlinearities and structural breaks," CREATES Research Papers 2012-14, Department of Economics and Business Economics, Aarhus University.
    3. H�ctor Manuel Z�arte Solano & Ang�lica Rengifo G�mez, 2013. "Forecasting annual inflation with power transformations: the case of inflation targeting countries," Borradores de Economia 10462, Banco de la Republica.
    4. Beenstock, Michael & Szpiro, George, 2002. "Specification search in nonlinear time-series models using the genetic algorithm," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 811-835, May.
    5. Aparicio, Felipe M., 2003. "On the record properties of integrated time series," DES - Working Papers. Statistics and Econometrics. WS ws036414, Universidad Carlos III de Madrid. Departamento de Estadística.
    6. Madden, Gary G & Savage, Scott J, 1998. "Sources of Australian labour productivity change 1950-1994," MPRA Paper 11452, University Library of Munich, Germany.
    7. Valentina Corradi & Norman R. Swanson, 2003. "The Effect of Data Transformation on Common Cycle, Cointegration and Unit Root Tests: Monte Carlo Results and a Simple Test," Departmental Working Papers 200322, Rutgers University, Department of Economics.
    8. Franses, Philip Hans & de Bruin, Paul, 2002. "On data transformations and evidence of nonlinearity," Computational Statistics & Data Analysis, Elsevier, vol. 40(3), pages 621-632, September.
    9. Krämer, Walter & Davies, Laurie, 2000. "Testing for unit roots in the context of misspecified logarithmic random walks," Technical Reports 2000,30, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    10. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
    11. Dilip M. Nachane, 2011. "Selected Problems in the Analysis of Nonstationary & Nonlinear Time Series," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 1-17.
    12. Mark J. Holmes, 2005. "New evidence on long-run output convergence among Latin American countries," Journal of Applied Economics, Universidad del CEMA, vol. 8, pages 299-319, November.

  319. Michael McAleer & Les Oxley, 1998. "Cointegration in Practice," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 417-422, December.

    Cited by:

    1. Gurgul, Henryk & Lach, Łukasz, 2010. "International trade and economic growth in the Polish economy," MPRA Paper 52286, University Library of Munich, Germany.
    2. Nasim Shah Shirazi & Turkhan Ali Abdul Manap, 2004. "Exports and Economic Growth Nexus: The Case of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 43(4), pages 563-581.

  320. Michael McAleer & Colin McKenzie & Les Oxley, 1998. "The International Congress on Modelling and Simulation, Hobart, Tasmania, December 1997," Journal of Economic Surveys, Wiley Blackwell, vol. 12(4), pages 399-416, September.

    Cited by:

    1. Davies, Brian Lloyd & Carberry, P.M. & Graham, R.P. & Mullen, John D. & Meaker, G.P., 2007. "StockPlan®: A Decision Aid for Management of Livestock During Drought and Other Times," Research Reports 37666, New South Wales Department of Primary Industries Research Economists.

  321. Les Oxley & Michael McAleer, 1998. "Editorial," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 1-1, December.

    Cited by:

    1. Jorge Alexander Rodríguez Otálora, 2009. "Elementos para la discusión de la internacionalización de la educación superior colombiana," Revista Facultad de Ciencias Económicas, Universidad Militar Nueva Granada.

  322. Philip Hans Franses & Michael McAleer, 1998. "Cointegration Analysis of Seasonal Time Series," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 651-678, December.

    Cited by:

    1. Cubadda, Gianluca & Omtzigt, Pieter, 2003. "Small Sample Improvements in the Statistical Analysis of Seasonally Cointegrated Systems," Economics & Statistics Discussion Papers esdp03012, University of Molise, Department of Economics.
    2. Saha, Shrabani & Zhang, Zhaoyong, 2013. "Do exchange rates affect consumer prices? A comparative analysis for Australia, China and India," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 128-138.
    3. Diego Winkelried Quezada, 2003. "Indicadores adelantados de la inflación en el Perú," Monetaria, CEMLA, vol. 0(4), pages 345-382, octubre-d.
    4. Héctor A. Valle S., 2003. "Pronósticos de inflación para Guatemala hechos con modelos ARIMA y VAR," Monetaria, CEMLA, vol. 0(4), pages 407-428, octubre-d.
    5. Olivier Darné, 2003. "Maximum likelihood seasonal cointegration tests for daily data," Economics Bulletin, AccessEcon, vol. 3(18), pages 1-8.
    6. Philip Kostov & John Lingard, 2005. "Seasonally specific model analysis of UK cereals prices," Econometrics 0507014, University Library of Munich, Germany.
    7. Darne, Olivier, 2004. "Seasonal cointegration for monthly data," Economics Letters, Elsevier, vol. 82(3), pages 349-356, March.
    8. Fabio Busetti, 2006. "Tests of seasonal integration and cointegration in multivariate unobserved component models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 419-438.
    9. Méndez Parra, Maximiliano, . "Futures prices, trade and domestic supply of agricultural commodities," Economics PhD Theses, Department of Economics, University of Sussex Business School, number 0115, December.
    10. Peter C.B. Phillips & Zhijie Xiao, 1998. "A Primer on Unit Root Testing," Cowles Foundation Discussion Papers 1189, Cowles Foundation for Research in Economics, Yale University.
    11. Nikolaos Giannellis & Minoas Koukouritakis, 2011. "Behavioural equilibrium exchange rate and total misalignment: evidence from the euro exchange rate," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 38(4), pages 555-578, November.
    12. Claudia Arguedas & Jorge Requena, 2003. "La dolarización en Bolivia: una estimación de la elasticidad de sustitución entre monedas," Monetaria, CEMLA, vol. 0(4), pages 383-406, octubre-d.
    13. Lof, Marten & Hans Franses, Philip, 2001. "On forecasting cointegrated seasonal time series," International Journal of Forecasting, Elsevier, vol. 17(4), pages 607-621.
    14. Sin, Chor-yiu (CY), 2015. "The economic fundamental and economic policy uncertainty of Mainland China and their impacts on Taiwan and Hong Kong," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 298-311.
    15. Mendez Parra, Maximiliano, 2015. "Seasonal Unit Roots and Structural Breaks in agricultural time series: Monthly exports and domestic supply in Argentina," MPRA Paper 63831, University Library of Munich, Germany, revised 06 Apr 2015.
    16. Younes Ben Zaied & Marie Estelle Binet, 2015. "Modelling seasonality in residential water demand: the case of Tunisia," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1983-1996, April.
    17. Jesús R. González García, 2003. "La dinámica del consumo privado en México: un análisis de cointegración con cambios de régimen," Monetaria, CEMLA, vol. 0(4), pages 429-449, octubre-d.

  323. Michael McAleer, 1997. "The Ten Commandments for Organizing a Conference," Journal of Economic Surveys, Wiley Blackwell, vol. 11(2), pages 231-233, June.

    Cited by:

    1. Massimiliano Caporin & Michael McAleer, 2010. "The Ten Commandments For Managing Investments," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 196-200, February.
    2. McAleer, M.J., 2008. "The ten commandments for optimizing value-at-risk and daily capital charges," Econometric Institute Research Papers EI 2008-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Stuart Sayer, 2009. "Issues In Finance: Credit, Crises And Policies – An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 795-797, December.
    4. Michael McAleer & Les Oxley, 2005. "The Ten Commandments for Academics," Journal of Economic Surveys, Wiley Blackwell, vol. 19(5), pages 823-826, December.
    5. Michael McAleer, 2005. "The ten commandments for ranking university quality," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 649-653, September.
    6. McAleer, M.J. & Oxley, L., 2010. "Ten Things We Should Know About Time Series," Econometric Institute Research Papers EI 2010-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  324. Anton P. Barten & Michael McAleer, 1997. "Comparaison de la performance du point de vue empirique de systèmes de demandes alternatifs," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 27-45.

    Cited by:

    1. Barten, Anton P., 2003. "On the Empirical Content of Demand Analysis," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 35(Supplemen), pages 1-11.

  325. Keuzenkamp, Hugo A. & McAleer, Michael, 1997. "The complexity of simplicity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 553-561.

    Cited by:

    1. Zellner, Arnold, 1999. "Keep It Sophisticatedly Simple," CUDARE Working Papers 198673, University of California, Berkeley, Department of Agricultural and Resource Economics.
    2. Ronald W. Butler & Marc S. Paolella, 2017. "Autoregressive Lag—Order Selection Using Conditional Saddlepoint Approximations," Econometrics, MDPI, vol. 5(3), pages 1-33, September.

  326. Colin McKenzie & Michael McAleer, 1997. "On Efficient Estimation and Correct Inference in Models with Generated Regressors: a General Approach," The Japanese Economic Review, Japanese Economic Association, vol. 48(4), pages 368-389, December.
    See citations under working paper version above.
  327. McAleer, Michael & McKenzie, Colin, 1996. "The 7th World Congress of the Econometric Society: Tokyo, Japan, 1995," Journal of Economic Surveys, Wiley Blackwell, vol. 10(1), pages 105-114, March.

    Cited by:

    1. Breitung, Jörg & Gouriéroux, Christian, 1996. "Rank tests for unit roots," SFB 373 Discussion Papers 1996,9, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

  328. Keuzenkamp, Hugo A & McAleer, Michael, 1995. "Simplicity, Scientific Interference and Econometric Modelling," Economic Journal, Royal Economic Society, vol. 105(428), pages 1-21, January.

    Cited by:

    1. Werner Ploberger, 2000. "Empirical Limits for Time Series Models," Econometric Society World Congress 2000 Contributed Papers 1909, Econometric Society.
    2. Kakarot-Handtke, Egmont, 2010. "Axiomatic Basics of e-Economics," MPRA Paper 24331, University Library of Munich, Germany.
    3. Kakarot-Handtke, Egmont, 2011. "Properties of an economy without human beings," MPRA Paper 31497, University Library of Munich, Germany.
    4. Kakarot-Handtke, Egmont, 2011. "Keynes’s missing axioms," MPRA Paper 31179, University Library of Munich, Germany.
    5. Kakarot-Handtke, Egmont, 2011. "Schumpeter and the essence of profit," MPRA Paper 31176, University Library of Munich, Germany.
    6. Peter C.B. Phillips & Werner Ploberger, 1999. "Empirical Limits for Time Series Econometric Models," Cowles Foundation Discussion Papers 1220, Cowles Foundation for Research in Economics, Yale University.

  329. Smith, Jeremy & McAleer, Michael, 1995. "Alternative Procedures for Converting Qualitative Response Data to Quantitative Expectations: An Application to Australian Manufacturing," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 165-185, April-Jun.
    See citations under working paper version above.
  330. McAleer, M. & Jakeman, A.J. & Henderson-Sellers, B., 1995. "Selected papers of the MSSA/IMACS 10th Biennial Conference on Modelling and Simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 195-195.

    Cited by:

    1. Kamel Malik Bensafta & Gervasio Semedo, 2014. "Market Volatility Transmission and Central Banking: What Happened during the Subprime Crisis?," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 559-588, December.

  331. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

    Cited by:

    1. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    2. Davidson, Russell & MacKinnon, James G., 1997. "Bootstrap Tests of Nonnested Linear Regression Models," Queen's Institute for Economic Research Discussion Papers 273388, Queen's University - Department of Economics.
    3. Kenneth D. West, 2000. "Encompassing Tests When No Model Is Encompassing," NBER Technical Working Papers 0256, National Bureau of Economic Research, Inc.
    4. Chen, Yi-Ting & Kuan, Chung-Ming, 2002. "The pseudo-true score encompassing test for non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 106(2), pages 271-295, February.
    5. Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Does the ROMC have expertise, and can it forecast?," Econometric Institute Research Papers EI 2008-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Moheb Ghali & John M. Krieg & K. Surekha Rao, 2011. "A Bayesian Extension of the J-Test for Non-Nested Hypotheses," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 53-72.
    7. Watkins, Clinton, 1997. "The term structure of interest rates and economic activity: An empirical critique," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 487-493.
    8. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    9. Bernard Fingleton & Silvia Palombi, 2016. "Bootstrap J -Test for Panel Data Models with Spatially Dependent Error Components, a Spatial Lag and Additional Endogenous Variables," Spatial Economic Analysis, Taylor & Francis Journals, vol. 11(1), pages 7-26, March.
    10. Mark Ottoni-Wilhelm & Robert Bandy, 2013. "Stage-specific family structure models: implicit parameter restrictions and Bayesian model comparison with an application to prosocial behavior," Review of Economics of the Household, Springer, vol. 11(3), pages 313-340, September.
    11. Choi, Hwan-sik & Kiefer, Nicholas M., 2006. "Robust Model Selection in Dynamic Models with an Application to Comparing Predictive Accuracy," Working Papers 06-09, Cornell University, Center for Analytic Economics.
    12. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
    13. Francisco Cribari-Neto & Sadraque E.F. Lucena, 2015. "Nonnested hypothesis testing in the class of varying dispersion beta regressions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 967-985, May.
    14. Christine Lim & Michael McAleer, 2003. "Modelling International Travel Demand from Singapore to Australia," CIRJE F-Series CIRJE-F-214, CIRJE, Faculty of Economics, University of Tokyo.
    15. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2008. "Is Greater China a currency union?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 319-327.
    16. Jarrow, Robert & Kwok, Simon Sai Man, 2015. "Specification tests of calibrated option pricing models," Journal of Econometrics, Elsevier, vol. 189(2), pages 397-414.
    17. Berg, Nathan, 2004. "No-decision classification: an alternative to testing for statistical significance," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(5), pages 631-650, November.
    18. Agresti, Alan & Caffo, Brian, 2002. "Measures of relative model fit," Computational Statistics & Data Analysis, Elsevier, vol. 39(2), pages 127-136, April.
    19. D. R. Cox, 2013. "A return to an old paper: ‘Tests of separate families of hypotheses’," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(2), pages 207-215, March.
    20. Madsen, Jakob B. & McAleer, Michael, 2001. "Consumption, liquidity constraints, uncertainty and temptation: An international comparison," Journal of Economic Psychology, Elsevier, vol. 22(1), pages 61-89, February.
    21. Godfrey, L. G., 1998. "Tests of non-nested regression models some results on small sample behaviour and the bootstrap," Journal of Econometrics, Elsevier, vol. 84(1), pages 59-74, May.
    22. Dahalan, Jauhari & Sharma, Subhash C. & Sylwester, Kevin, 2007. "Scale variable specification in a money demand function for Malaysia," Journal of Asian Economics, Elsevier, vol. 18(6), pages 867-882, December.
    23. Sriananthakumar, Sivagowry, 2015. "Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests," Economic Modelling, Elsevier, vol. 49(C), pages 387-394.
    24. Emm, Ekaterina E. & Gay, Gerald D. & Ma, Han & Ren, Honglin, 2021. "The rise and breakup of the commodity exchange membership: An analysis of CBOT seat prices," Journal of Commodity Markets, Elsevier, vol. 24(C).
    25. Jin, Fei & Lee, Lung-fei, 2013. "Cox-type tests for competing spatial autoregressive models with spatial autoregressive disturbances," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 590-616.
    26. Elyasiani, Elyas & Zadeh, Ali H. M., 1999. "Econometric tests of alternative scale variables in money demand in open economies: International evidence from selected OECD countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 39(2), pages 193-211.
    27. John Sequeira & MICHAEL McALEER, 2000. "Testing the risk premium and cost-of-carry hypotheses for currency futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 277-289.
    28. Russell Davidson & James MacKinnon, 2002. "Fast Double Bootstrap Tests Of Nonnested Linear Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 419-429.

  332. McAleer, Michael & Smith, Jeremy, 1994. "A note on the unbiasedness test of rationality using survey data," Journal of Macroeconomics, Elsevier, vol. 16(2), pages 369-374.

    Cited by:

    1. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.

  333. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.

    Cited by:

    1. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 3, pages 1-72.
    2. cole, Chip & Edwards, Jeffrey A., 2010. "Competition on MARS? A study of broker-dealer competition in the U.S. municipal auction rate securities market," MPRA Paper 36444, University Library of Munich, Germany.
    3. Botti, Laurent & Peypoch, Nicolas & Randriamboarison, Rado & Solonandrasana, Bernardin, 2006. "An Econometric Model of Tourism Demand in France," MPRA Paper 25390, University Library of Munich, Germany, revised 30 Dec 2006.
    4. Oxley, Les, 1994. "Cointegration, Causality and Wagner's Law: A Test for Britain 1870-1913," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(3), pages 286-298, August.
    5. Harry Bloch & Michael Olive, 2001. "Pricing over the Cycle," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 19(1), pages 99-108, August.
    6. Robert L. Basmann & Michael McAleer & Daniel Slottje, 2003. "Patent Activity and Technical Change," CIRJE F-Series CIRJE-F-217, CIRJE, Faculty of Economics, University of Tokyo.
    7. Mina Baliamoune-Lutz, 2002. "Assessing the Impact of One Aspect of Globalization on Economic Growth in Africa," WIDER Working Paper Series DP2002-91, World Institute for Development Economic Research (UNU-WIDER).
    8. Martijn Brons & Henri L.F.M. de Groot & Peter Nijkamp, 1999. "Growth Effects of Fiscal Policies - A Comparative Analysis in a Multi-Country Context," Tinbergen Institute Discussion Papers 99-042/3, Tinbergen Institute.
    9. Suhejla Hoti & Michael McAleer, 2004. "An Empirical Assessment of Country Risk Ratings and Associated Models," Journal of Economic Surveys, Wiley Blackwell, vol. 18(4), pages 539-588, September.
    10. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 6, pages 1-69.
    11. Owen, P. Dorian, 2018. "Replication to assess statistical adequacy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 12, pages 1-16.
    12. B.S.Y. Sim, 1994. "The Australian Dollar and Purchasing Power," Economics Discussion / Working Papers 94-17, The University of Western Australia, Department of Economics.
    13. A. A. Asseery & D. Law & N. Perdikis, 1999. "Wagner's Law and public expenditure in Iraq: a test using disaggregated data," Applied Economics Letters, Taylor & Francis Journals, vol. 6(1), pages 39-44.
    14. Allen, David & Yap, Ghialy & Shareef, Riaz, 2009. "Modelling interstate tourism demand in Australia: A cointegration approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2733-2740.
    15. Lim, Lee K & McAleer, Michael, 2002. "Economic growth and technological catching up by Singapore to the USA," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 133-141.
    16. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2008. "Is Greater China a currency union?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 319-327.
    17. Pat Wilson & John Okunev & Guy Ta, 1995. "Measuring the Degree of Integration Amongst Domestic and International Real Estate and Financial Assets Markets," Working Paper Series 49, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    18. Lim, Christine, 1997. "The functional specification of international tourism demand models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 535-543.
    19. Galeotti, Marzio & Lanza, Alessandro, 1999. "Richer and cleaner? A study on carbon dioxide emissions in developing countries," Energy Policy, Elsevier, vol. 27(10), pages 565-573, October.
    20. Leslie G. Godfrey, 2005. "Controlling the Overall Significance Level of a Battery of Least Squares Diagnostic Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(2), pages 263-279, April.
    21. Peter Sandholt Jensen & Allan H. Würtz, 2006. "On determining the importance of a regressor with small and undersized samples," Economics Working Papers 2006-08, Department of Economics and Business Economics, Aarhus University.
    22. Kevin D. Hoover & Stephen J. Perez, 2004. "Truth and Robustness in Cross‐country Growth Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(5), pages 765-798, December.
    23. Yang, Haisheng & He, Jie & Chen, Shaoling, 2015. "The fragility of the Environmental Kuznets Curve: Revisiting the hypothesis with Chinese data via an “Extreme Bound Analysis”," Ecological Economics, Elsevier, vol. 109(C), pages 41-58.
    24. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    25. Garrone Giovanna & Marchionatti Roberto, 2007. "Keynes, statistics and econometrics," CESMEP Working Papers 200703, University of Turin.
    26. Oxley, L.T., 1995. "An expert systems approach to econometric modelling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 379-383.
    27. Hoti, Suhejla, 2004. "An empirical evaluation of international capital flows for developing countries," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 143-160.
    28. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    29. Pat Wilson & John Okunev, 1996. "Unit Root Testing with Known and Unknown Structural Breaks in Property and Equity Markets," Working Paper Series 62, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    30. Garrone Giovanna & Marchionatti Roberto, 2007. "The appropriate style of economic discourse. Keynes on Economics and Econometrics," CESMEP Working Papers 200702, University of Turin.
    31. Ong, Christine, 1995. "Tourism demand models: a critique," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 367-372.
    32. Choi, Daniel & Oxley, Les, 2004. "Modelling the demand for money in New Zealand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 185-191.
    33. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    34. Nelson, Larry A. & Dickey, David A. & Smith, Joy M., 2011. "Estimating time series and cross section tourism demand models: Mainland United States to Hawaii data," Tourism Management, Elsevier, vol. 32(1), pages 28-38.
    35. Ulaşan, Bülent, 2011. "Cross-country growth empirics and model uncertainty: An overview," Economics Discussion Papers 2011-37, Kiel Institute for the World Economy.

  334. C. R. McKenzie & Michael McAleer, 1994. "On The Effects Of Misspecification Errors In Models With Generated Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(4), pages 441-455, November.

    Cited by:

    1. Francesco Cecchi & Steffen Eriksen & Robert Lensink & Paul Mosley, 2025. "Is Microcredit Effective? It Depends on the Context: New Results from a Study in Bolivia," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 37(3), pages 593-642, June.
    2. Uluc Aysun & Melanie Guldi, 2008. "Increasing Derivatives Market Activity in Emerging Markets and Exchange Rate Exposure," Working papers 2008-06, University of Connecticut, Department of Economics, revised Oct 2008.
    3. Gonzalez-Rivera, Gloria, 1998. "Dynamic asset pricing and statistical properties of risk," Journal of Economics and Business, Elsevier, vol. 50(5), pages 461-470, September.
    4. Eric J. Solberg, 2005. "The Gender Pay Gap by Occupation: A Test of the Crowding Hypothesis," Contemporary Economic Policy, Western Economic Association International, vol. 23(1), pages 129-148, January.
    5. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    6. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    7. Uluc Aysun & Melanie Guldi, 2009. "Exchange rate exposure: A nonparametric approach," Working papers 2009-18, University of Connecticut, Department of Economics.
    8. Eric Solberg, 2004. "Occupational assignment, hiring discrimination, and the gender pay gap," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 32(1), pages 11-27, March.

  335. Oxley, Les & McAleer, Michael, 1993. "Econometric Issues in Macroeconomic Models with Generated Regressors," Journal of Economic Surveys, Wiley Blackwell, vol. 7(1), pages 1-40.

    Cited by:

    1. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa," World Development, Elsevier, vol. 86(C), pages 133-147.
    2. Simplice A. Asongu, 2019. "FDI in Selected Developing Countries: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 19/057, Research Africa Network (RAN).
    3. Bretscher, Lorenzo & Julliard, Christian & Rosa, Carlo, 2015. "Human capital and international portfolio diversification: a reappraisal," LSE Research Online Documents on Economics 119454, London School of Economics and Political Science, LSE Library.
    4. Divino, J.A. & McAleer, M.J., 2008. "Modelling sustainable international tourism demand to the Brazilian Amazon," Econometric Institute Research Papers EI 2008-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Asongu, Simplice, 2015. "Determinants of Growth in Fast Developing Countries: Evidence from Bundling and Unbundling Institutions," MPRA Paper 67310, University Library of Munich, Germany.
    6. Gordon Burtch & Edward McFowland III & Mochen Yang & Gediminas Adomavicius, 2023. "EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference," Papers 2303.02820, arXiv.org, revised Dec 2024.
    7. Uchenna Efobi & Simplice A. Asongu & Chinelo Okafor & Vanessa Tchamyou & Belmondo Tanankem, 2019. "Remittances, Finance and Industrialisation in Africa," CEREDEC Working Papers 19/009, Centre de Recherche pour le Développement Economique (CEREDEC).
    8. Simplice A. Asongu & Joseph Nnanna & Vanessa S. Tchamyou, 2019. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency: Pre-Crisis Era Revisited," Working Papers of the African Governance and Development Institute. 19/085, African Governance and Development Institute..
    9. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    10. Gilles Crommen & Jad Beyhum & Ingrid Van Keilegom, 2024. "An instrumental variable approach under dependent censoring," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 33(2), pages 473-495, June.
    11. Mario Quagliariello, 2006. "Macroeconomics Uncertainty and Banks' Lending Decisions: The Case of Italy," Discussion Papers 06/02, Department of Economics, University of York.
    12. Stoian, Andreea & Iorgulescu, Filip, 2020. "Fiscal policy and stock market efficiency: An ARDL Bounds Testing approach," Economic Modelling, Elsevier, vol. 90(C), pages 406-416.
    13. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Governance, capital flight and industrialisation in Africa," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-22, December.
    14. Rosa, Carlo & Verga, Giovanni, 2006. "The impact of central bank announcements on asset prices in real time: testing the efficiency of the Euribor futures market," LSE Research Online Documents on Economics 19777, London School of Economics and Political Science, LSE Library.
    15. Simplice Asongu & Jacinta C. Nwachukwu, 2015. "Drivers of FDI in Fast Growing Developing Countries: Evidence from Bundling and Unbundling Governance," Working Papers of the African Governance and Development Institute. 15/001, African Governance and Development Institute..
    16. Ganegodage, K. Renuka & Rambaldi, Alicia N., 2014. "Economic consequences of war: Evidence from Sri Lanka," Journal of Asian Economics, Elsevier, vol. 30(C), pages 42-53.
    17. Simplice A. Asongu & Antonio R. Andrés, 2019. "Trajectories of Knowledge Economy in SSA and MENA countries," CEREDEC Working Papers 19/013, Centre de Recherche pour le Développement Economique (CEREDEC).
    18. Asongu, Simplice & Tchamyou, Vanessa, 2015. "Foreign aid, education and lifelong learning in Africa," MPRA Paper 70240, University Library of Munich, Germany.
    19. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Are Forecast Updates Progressive?," Working Papers in Economics 10/12, University of Canterbury, Department of Economics and Finance.
    20. Simplice A. Asongu, 2015. "Conditional Determinants of Mobile Phones Penetration and Mobile Banking in Sub-Saharan Africa," Research Africa Network Working Papers 15/043, Research Africa Network (RAN).
    21. Simplice A. Asongu & Samba Diop & Ekene ThankGod Emeka & Amarachi O. Ogbonna, 2024. "The role of governance and infrastructure in moderating the effect of resource rents on economic growth," Working Papers of the African Governance and Development Institute. 24/027, African Governance and Development Institute..
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    26. Voxi Amavilah & Simplice A. Asongu & Antonio R. Andrés, 2017. "Effects of globalization on peace and stability: Implications for governance and the knowledge economy of African countries," Research Africa Network Working Papers 17/014, Research Africa Network (RAN).
    27. Simplice A. Asongu & Joseph Nnanna, 2020. "Governance and the Capital Flight Trap in Africa," Working Papers of the African Governance and Development Institute. 20/024, African Governance and Development Institute..
    28. Michael Mcaleer & Bernardo da Veiga, 2008. "Forecasting value-at-risk with a parsimonious portfolio spillover GARCH (PS-GARCH) model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(1), pages 1-19.
    29. Asongu, Simplice & Nnanna, Joseph, 2019. "Foreign aid, instability and governance in Africa," MPRA Paper 101087, University Library of Munich, Germany.
    30. Simplice A. Asongu & Uchenna R. Efobi & Vanessa S. Tchamyou, 2016. "Globalization and Governance: A Critical Contribution to the Empirics," Research Africa Network Working Papers 16/017, Research Africa Network (RAN).
    31. Mochen Yang & Edward McFowland & Gordon Burtch & Gediminas Adomavicius, 2022. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem," INFORMS Joural on Data Science, INFORMS, vol. 1(2), pages 138-155, October.
    32. Nick Hanley & Les Oxley & David Greasley & Eoin McLaughlin & Matthias Blum, 2016. "Empirical Testing of Genuine Savings as an Indicator of Weak Sustainability: A Three-Country Analysis of Long-Run Trends," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(2), pages 313-338, February.
    33. Simplice A. Asongu & Samba Diop, 2022. "Resource Rents and Economic Growth: Governance and Infrastructure Thresholds," Working Papers 22/072, European Xtramile Centre of African Studies (EXCAS).
    34. Simplice Asongu & Jacinta C Nwachukwu, 2015. "The incremental effect of education on corruption: evidence of synergy from lifelong learning," Economics Bulletin, AccessEcon, vol. 35(4), pages 2288-2308.
    35. Li, XiaoLi & You, JinHong, 2012. "Error covariance matrix correction based approach to functional coefficient regression models with generated covariates," Journal of Multivariate Analysis, Elsevier, vol. 107(C), pages 263-281.
    36. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Fighting Capital Flight in Africa: Evidence from Bundling and Unbundling Governance," Research Africa Network Working Papers 16/047, Research Africa Network (RAN).
    37. Bashar K. Abu Khalaf, 2017. "Empirical Investigation of Symmetric and Asymmetric Target Adjustment Models: Capital Structure of Non-Financial Firms in Jordan," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 133-140, March.
    38. Asongu, Simplice & le Roux, Sara & Nwachukwu, Jacinta & Pyke, Chris, 2018. "The Mobile Phone as an Argument for Good Governance in Sub-Saharan Africa," MPRA Paper 89364, University Library of Munich, Germany.
    39. Bazley, William & Jannati, Sima, 2024. "The influence of regional sentiment on online borrowing," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    40. Greasley, David & Hanley, Nick & Kunnas, Jan & McLaughlin, Eoin & Oxley, Les & Warde, Paul, 2014. "Testing genuine savings as a forward-looking indicator of future well-being over the (very) long-run," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 171-188.
    41. Asongu Simplice & Jacinta C. Nwachukwu, 2015. "Foreign aid instability and bundled governance dynamics in Africa," Working Papers of the African Governance and Development Institute. 15/058, African Governance and Development Institute..
    42. Ganegodage, K. Renuka & Rambaldi, Alicia N., 2011. "The impact of education investment on Sri Lankan economic growth," Economics of Education Review, Elsevier, vol. 30(6), pages 1491-1502.
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    44. Goodell, John W., 2017. "Trust and Governance: The conditioning role of national culture," Finance Research Letters, Elsevier, vol. 23(C), pages 80-86.
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    46. Cutura, Jannic Alexander, 2021. "Debt holder monitoring and implicit guarantees: Did the BRRD improve market discipline?," Journal of Financial Stability, Elsevier, vol. 54(C).
    47. Simplice A. Asongu & Voxi H. S. Amavilah & Antonio R. Andres, 2019. "Business Dynamics, Knowledge Economy, and the Economic Performance of African Countries," CEREDEC Working Papers 19/004, Centre de Recherche pour le Développement Economique (CEREDEC).
    48. Landon, Stuart & Smith, Constance, 1998. "Quality expectations, reputation, and price," MPRA Paper 9774, University Library of Munich, Germany.
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    55. Asongu, Simplice & Tchamyou, Vanessa, 2015. "The Comparative African Regional Economics of Globalization in Financial Allocation Efficiency," MPRA Paper 71173, University Library of Munich, Germany.
    56. Diamandis, Panayiotis F. & Kouretas, Georgios P. & Zarangas, Leonidas, 2007. "Dual foreign currency markets and the role of expectations: Evidence from the Pacific Basin countries," Research in International Business and Finance, Elsevier, vol. 21(2), pages 238-259, June.
    57. Faisal M. Awwal & Prasad V. Bidarkota, 2021. "A state space framework for the residual income valuation model of stock prices," SN Business & Economics, Springer, vol. 1(4), pages 1-28, April.
    58. Laura Serlenga, 2002. "Three Alternative Approaches to Test the Permanent Income Hypothesis in Dynamic Panels," SERIES 0005, Dipartimento di Economia e Finanza - Università degli Studi di Bari "Aldo Moro", revised Feb 2002.
    59. Simplice A. Asongu & Joseph Nnanna, 2020. "Governance and the Capital Flight Trap in Africa," Journal of Africa SEER Centre(ASC) 20/022, Africa SEER Centre(ASC).
    60. Jia, Boxiang & Goodell, John W. & Shen, Dehua, 2021. "US partisan conflict and high-yield exchange rates," Finance Research Letters, Elsevier, vol. 40(C).
    61. Asongu, Simplice & Uduji, Joseph & Okolo-Obasi, Elda, 2019. "Foreign aid volatility and lifelong learning," MPRA Paper 102032, University Library of Munich, Germany.
    62. Ralph de Haas & Marga Peeters, 2006. "The dynamic adjustment towards target capital structures of firms in transition economies," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(1), pages 133-169, March.
    63. Asongu, Simplice & Nwachukwu, Jacinta, 2017. "The Role of Openness in the Effect of ICT on Governance," MPRA Paper 84344, University Library of Munich, Germany.
    64. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.
    65. Mammen, Enno & Rothe, Christoph & Schienle, Melanie, 2016. "Semiparametric estimation with generated covariates," Working Paper Series in Economics 81, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
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    Cited by:

    1. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    2. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.

  337. McAleer, Michael, 1992. "Modelling in econometrics: The deterrent effect of capital punishment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 519-532.

    Cited by:

    1. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    2. G. Nesdale, 1996. "Tariffs and Intra-Industry Trade," Economics Discussion / Working Papers 96-11, The University of Western Australia, Department of Economics.
    3. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.

  338. Fiebig, Denzil G. & McAleer, Michael & Bartels, Robert, 1992. "Properties of ordinary least squares estimators in regression models with nonspherical disturbances," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 321-334.

    Cited by:

    1. Robert Bartels & Denzil G. Fiebig & Michael H. Plumb, 1996. "Gas or Electricity, which is Cheaper?: An Econometric Approach with Application to Australian Expenditure Data," The Energy Journal, , vol. 17(4), pages 33-57, October.
    2. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    3. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Are Forecast Updates Progressive?," Working Papers in Economics 10/12, University of Canterbury, Department of Economics and Finance.
    4. Chang, C-L. & McAleer, M.J. & Wang, C-H., 2016. "An Econometric Analysis of ETF and ETF Futures in Financial and Energy Markets Using Generated Regressors," Econometric Institute Research Papers EI2016-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Franses, Ph.H.B.F. & McAleer, M.J. & Legerstee, R., 2008. "Does the ROMC have expertise, and can it forecast?," Econometric Institute Research Papers EI 2008-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2010. "Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments," CIRJE F-Series CIRJE-F-729, CIRJE, Faculty of Economics, University of Tokyo.
    7. Keuzenkamp, Hugo A. & McAleer, Michael, 1997. "The complexity of simplicity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 553-561.
    8. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    9. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2009. "Expert opinion versus expertise in forecasting," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 63(3), pages 334-346, August.
    10. Banerjee, Anurag N. & Magnus, Jan R., 1999. "The sensitivity of OLS when the variance matrix is (partially) unknown," Journal of Econometrics, Elsevier, vol. 92(2), pages 295-323, October.
    11. Gotu, Butte, 1999. "The consistency of s2 in the linear regression model when the disturbances are spatially correlated," Technical Reports 1999,07, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    12. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.
    13. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2014. "Evaluating Macroeconomic Forecasts: A Concise Review Of Some Recent Developments," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 195-208, April.
    14. W D A Bryant, 2009. "General Equilibrium:Theory and Evidence," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 6875.
    15. McAleer, Michael, 1992. "Modelling in econometrics: The deterrent effect of capital punishment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 519-532.
    16. Paul Oslington, 2012. "General Equilibrium: Theory and Evidence," The Economic Record, The Economic Society of Australia, vol. 88(282), pages 446-448, September.
    17. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    18. Chang, C-L. & Franses, Ph.H.B.F. & McAleer, M.J., 2009. "How Accurate are Government Forecast of Economic Fundamentals?," Econometric Institute Research Papers EI 2009-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  339. MICHAEL McALEER, 1992. "Efficient Estimation: The Rao‐Zyskind Condition, Kruskal's Theorem and Ordinary Least Squares," The Economic Record, The Economic Society of Australia, vol. 68(1), pages 65-72, March.

    Cited by:

    1. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Combining Non-Replicable Forecasts," Working Papers in Economics 10/35, University of Canterbury, Department of Economics and Finance.
    2. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2010. "Are Forecast Updates Progressive?," Working Papers in Economics 10/12, University of Canterbury, Department of Economics and Finance.
    3. Philip Hans Franses & Michael McAleer & Rianne Legerstee, 2010. "Evaluating Macroeconomic Forecasts: A Review of Some Recent Developments," Working Papers in Economics 10/09, University of Canterbury, Department of Economics and Finance.
    4. Gordon Fisher, 2004. "Une condition d’invariance du modèle de régression à coefficients aléatoires," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 405-419.
    5. Chia-Lin Chang & Philip Hans Franses & Michael McAleer, 2009. "How Accurate are Government Forecasts of Economic Fundamentals? The Case of Taiwan," CIRJE F-Series CIRJE-F-637, CIRJE, Faculty of Economics, University of Tokyo.

  340. McAleer, Michael & McKenzie, C R, 1991. "Keynesian and New Classical Models of Unemployment Revisited," Economic Journal, Royal Economic Society, vol. 101(406), pages 359-381, May.
    See citations under working paper version above.
  341. Bai, J. & Jakeman, A.J. & McAleer, M., 1990. "The effects of misspecification in estimating the percentiles of some two- and three-parameter distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 32(1), pages 197-202.
    See citations under working paper version above.
  342. Dastoor, Naorayex K. & McAleer, Michael, 1989. "Some Power Comparisons of Joint and Paired Tests for Nonnested Models under Local Hypotheses," Econometric Theory, Cambridge University Press, vol. 5(1), pages 83-94, April.
    See citations under working paper version above.
  343. McAleer, Michael & Veall, Michael R, 1989. "How Fragile Are Fragile Inferences? A Re-evaluation of the Deterrent Effect of Capital Punishment," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 99-106, February.

    Cited by:

    1. Brett Parker, 2021. "Death Penalty Statutes and Murder Rates: Evidence From Synthetic Controls," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 18(3), pages 488-533, September.
    2. Martijn Brons & Henri L.F.M. de Groot & Peter Nijkamp, 1999. "Growth Effects of Fiscal Policies - A Comparative Analysis in a Multi-Country Context," Tinbergen Institute Discussion Papers 99-042/3, Tinbergen Institute.
    3. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    4. Juan Pablo Castilla, 2020. "To Kill a Black Swan: The Credibility Revolution at CEDE, 2000-2018," Documentos CEDE 18366, Universidad de los Andes, Facultad de Economía, CEDE.
    5. Jetter, Michael & Mahmood, Rafat & Parmeter, Christopher F. & Ramirez Hassan, Andres, 2020. "Explaining Post-Cold-War Civil Conflict among 17 Billion Models: The Importance of History and Religion," IZA Discussion Papers 13511, IZA Network @ LISER.
    6. Walid M. A. Ahmed, 2024. "On the robust drivers of cryptocurrency liquidity: the case of Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
    7. Ehrlich, Isaac & Liu, Zhiqiang, 1999. "Sensitivity Analyses of the Deterrence Hypothesis: Let's Keep the Econ in Econometrics," Journal of Law and Economics, University of Chicago Press, vol. 42(1), pages 455-487, April.
    8. Ethan Cohen-Cole & Steven N. Durlauf & Jeffrey Fagan & Daniel Nagin, 2007. "Model uncertainty and the deterrent effect of capital punishment," Supervisory Research and Analysis Working Papers QAU07-3, Federal Reserve Bank of Boston.
    9. Yang, Haisheng & He, Jie & Chen, Shaoling, 2015. "The fragility of the Environmental Kuznets Curve: Revisiting the hypothesis with Chinese data via an “Extreme Bound Analysis”," Ecological Economics, Elsevier, vol. 109(C), pages 41-58.
    10. Jetter, Michael & Mahmood, Rafat & Parmeter, Christopher F. & Ramírez-Hassan, Andrés, 2022. "Post-Cold War civil conflict and the role of history and religion: A stochastic search variable selection approach," Economic Modelling, Elsevier, vol. 114(C).
    11. Paul R. Zimmerman, 2010. "The Economics of Capital Punishment and Deterrence," Chapters, in: Bruce L. Benson & Paul R. Zimmerman (ed.), Handbook on the Economics of Crime, chapter 16, Edward Elgar Publishing.
    12. Neil R. Ericsson, 2008. "The Fragility of Sensitivity Analysis: An Encompassing Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 895-914, December.
    13. Hess, Gregory D. & Jones, Christopher S. & Porter, Richard D., 1998. "The predictive failure of the Baba, Hendry and Starr model of M1," Journal of Economics and Business, Elsevier, vol. 50(6), pages 477-507, November.
    14. McAleer, Michael, 1992. "Modelling in econometrics: The deterrent effect of capital punishment," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 33(5), pages 519-532.
    15. Yang, Bijou & Lester, David, 2008. "The deterrent effect of executions: A meta-analysis thirty years after Ehrlich," Journal of Criminal Justice, Elsevier, vol. 36(5), pages 453-460, September.
    16. Joanna M. Shepherd, 2004. "Murders of Passion, Execution Delays, and the Deterrence of Capital Punishment," The Journal of Legal Studies, University of Chicago Press, vol. 33(2), pages 283-321, June.

  344. Hall, A D & McAleer, Michael, 1989. "A Monte Carlo Study of Some Tests of Model Adequacy in Time Series Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(1), pages 95-106, January.

    Cited by:

    1. Bierens, H.J. & Broersma, L., 1991. "The relation between unemployment and interest rate : some international evidence," Serie Research Memoranda 0112, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Chambers, Marcus J, 1992. "Estimation of a Continuous-Time Dynamic Demand System," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(1), pages 53-64, Jan.-Marc.
    3. Dorfman, Jeffrey H. & Havenner, Arthur M., 1992. "A Bayesian approach to state space multivariate time series modeling," Journal of Econometrics, Elsevier, vol. 52(3), pages 315-346, June.
    4. Solomon Temidayo Owolabi & Kakaba Madi & Ahmed Mukalazi Kalumba, 2021. "Comparative evaluation of spatio-temporal attributes of precipitation and streamflow in Buffalo and Tyume Catchments, Eastern Cape, South Africa," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4236-4251, March.
    5. James Rude & Yves Surry, 2014. "Canadian Hog Supply Response: A Provincial Level Analysis," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 149-169, June.
    6. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, Enero-Abr.
    7. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    8. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [euro;]36.18, Hardback, ISBN 0-521-770416-0, $90, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    9. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, The University of Osaka.
    10. A. C. C. Kwan, 2003. "Sample partial autocorrelations and portmanteau tests for randomness," Applied Economics Letters, Taylor & Francis Journals, vol. 10(10), pages 605-609.
    11. Bierens, H.J. & Broersma, L., 1990. "The relation between unemployment and interest rate : some empirical evidence," Serie Research Memoranda 0078, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    12. Franses, P. H., 1990. "Testing For White Noise In Time Series Models," Econometric Institute Archives 272394, Erasmus University Rotterdam.
    13. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    14. Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
    15. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.
    16. Sneek, K., 1989. "The generation of student's t random variables," Serie Research Memoranda 0080, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    17. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, Enero-Abr.
    18. Kheoh, Thian S. & McLeod, A. Ian, 1992. "Comparison of two modified portmanteau tests for model adequacy," Computational Statistics & Data Analysis, Elsevier, vol. 14(1), pages 99-106, June.
    19. Chen Zhuo & Yang Yuhong, 2007. "Time Series Models for Forecasting: Testing or Combining?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 11(1), pages 1-37, March.
    20. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.

  345. Michael McAleer & C. R. McKenzie & A. D. Hall, 1988. "Testing Separate Time Series Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 9(2), pages 169-189, March.

    Cited by:

    1. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    2. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, The University of Osaka.
    3. Franses, P. H., 1990. "Testing For White Noise In Time Series Models," Econometric Institute Archives 272394, Erasmus University Rotterdam.
    4. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118, June.
    5. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    6. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.
    7. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.
    8. G. C. Lim & C. R. McKenzie, 1998. "Testing the rationality of expectations in the Australian foreign exchange market using survey data with missing observations," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 181-190.

  346. Godfrey, Leslie G & McAleer, Michael & McKenzie, Colin R, 1988. "Variable Addition and LaGrange Multiplier Tests for Linear and Logarithmic Regression Models," The Review of Economics and Statistics, MIT Press, vol. 70(3), pages 492-503, August.

    Cited by:

    1. Barten, A.P. & McAleer, M., 1991. "Comparing the Empirical Performance of Alternative Demand Systems," Other publications TiSEM d782d792-fc44-4a2d-8ac0-f, Tilburg University, School of Economics and Management.
    2. Z. L. Yang Y. K. Tse, 2004. "Tests of Functional Form and Heteroscedasticity," Econometric Society 2004 Australasian Meetings 302, Econometric Society.
    3. Ford, George S., 2007. "Does a municipal electric's supply of communications crowd out private communications investment? An empirical study," Energy Economics, Elsevier, vol. 29(3), pages 467-478, May.
    4. George Kapetanios & Melvyn Weeks, 2003. "Non-Nested Models and the Likelihood Ratio Statistic: A Comparison of Simulation and Bootstrap Based Tests," Working Papers 490, Queen Mary University of London, School of Economics and Finance.
    5. T. Randolph Beard & George Ford, 2005. "Are Unbundled and Self-supplied Telecommunications Switching Substitutes? An Empirical Study," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 12(2), pages 163-181.
    6. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    7. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    8. Reis, Hugo J. & Santos Silva, J.M.C., 2006. "Hedonic prices indexes for new passenger cars in Portugal (1997-2001)," Economic Modelling, Elsevier, vol. 23(6), pages 890-908, December.
    9. Chen, Victor Zitian & Li, Jing & Shapiro, Daniel M., 2012. "International reverse spillover effects on parent firms: Evidences from emerging-market MNEs in developed markets," European Management Journal, Elsevier, vol. 30(3), pages 204-218.
    10. Masaru Chiba, 2023. "Robust and efficient specification tests in Markov-switching autoregressive models," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 99-137, April.
    11. Anton P. Barten & Michael McAleer, 1997. "Comparaison de la performance du point de vue empirique de systèmes de demandes alternatifs," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 27-45.
    12. Baltagi, Badi H., 1997. "Testing linear and loglinear error components regressions against Box-Cox alternatives," Statistics & Probability Letters, Elsevier, vol. 33(1), pages 63-68, April.
    13. Zhou, Yanfei, 2003. "Precautionary saving and earnings uncertainty in Japan: A household-level analysis," Journal of the Japanese and International Economies, Elsevier, vol. 17(2), pages 192-212, June.
    14. Zhang, Zhaoyong & Sato, Kiyotaka & McAleer, Michael, 2008. "Is Greater China a currency union?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 319-327.
    15. Alfons Oude Lansink & Geert Thijssen, 1998. "Testing among functional forms: an extension of the Generalized Box-Cox formulation," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1001-1010.
    16. M. Galeotti & A. Lanza, 1999. "Desperately seeking (environmental) Kuznets," Working Paper CRENoS 199901, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    17. Lim, Christine, 1997. "The functional specification of international tourism demand models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 535-543.
    18. Asli Demirgüč-Kunt, 1991. "On the valuation of deposit institutions," Working Papers (Old Series) 9104, Federal Reserve Bank of Cleveland.
    19. Badi H. Baltagi, 1999. "Specification Tests in Panel Data Models Using Artificial Regressions," Annals of Economics and Statistics, GENES, issue 55-56, pages 277-297.
    20. Adane, Tuffa Debela, 2009. "Impact of Perennial Cash Cropping On Food Crop Production and Productivity," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 18(01), pages 116-116, December.
    21. Hamilton, James D., 1996. "Specification testing in Markov-switching time-series models," Journal of Econometrics, Elsevier, vol. 70(1), pages 127-157, January.
    22. Alan Shiell & Catherine Pettipher & Norma Raynes & Ken Wright, 1993. "A cost function analysis of residential services for adults with a learning disability," Health Economics, John Wiley & Sons, Ltd., vol. 2(3), pages 247-256, October.
    23. Russell Davidson & James G. MacKinnon, 1988. "Specification Tests Based on Artificial Regressions," Working Paper 707, Economics Department, Queen's University.
    24. James G. MacKinnon, 1983. "Model Specification Tests Against Non-Nested Alternatives," Working Paper 573, Economics Department, Queen's University.
    25. Bierens, H.J. & Broersma, L., 1990. "The relation between unemployment and interest rate : some empirical evidence," Serie Research Memoranda 0078, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    26. James G. MacKinnon & Russell Davidson, 2001. "Artificial Regressions," Working Paper 1038, Economics Department, Queen's University.
    27. Oczkowski, Edward A., 1994. "A Hedonic Price Function For Australian Premium Table Wine," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 38(01), pages 1-18, April.
    28. Oczkowski, Edward, 2021. "Estimating supply functions for wine attributes: a two-stage hedonic approach," Working Papers 321856, American Association of Wine Economists.
    29. Kenneth G. Stewart, 1998. "Gauss-Newton, Milliken-Graybill, and Exact Misspecification Testing Using Artificial Regressions," Econometrics Working Papers 9811, Department of Economics, University of Victoria.
    30. Russell Davidson & James G. MacKinnon, 1987. "Double-Length Artificial Regressions," Working Paper 691, Economics Department, Queen's University.
    31. Sharma, Kishor & Oczkowski, Edward & Jayasuriya, Sisira, 2001. "Liberalization, export incentives, and trade intensity: new evidence from Nepalese manufacturing industries," Journal of Asian Economics, Elsevier, vol. 12(1), pages 123-135.
    32. Godfrey, L G & Orme, C D, 1994. "The Sensitivity of Some General Checks to Omitted Variables in the Linear Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(2), pages 489-506, May.
    33. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    34. Matthew Sutton & Christine Godfrey, 1995. "A grouped data regression approach to estimating economic and social influences on individual drinking behaviour," Health Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 237-247, May.
    35. Hayat, Zafar & Balli, Faruk & Rehman, Muhammad, 2017. "The relevance and relative robustness of sources of inflation bias in Pakistan," Economic Modelling, Elsevier, vol. 63(C), pages 283-303.
    36. Beard, T. Randolph & Ford, George S. & Koutsky, Thomas M., 2005. "Mandated access and the make-or-buy decision: the case of local telecommunications competition," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(1), pages 28-47, February.
    37. Godfrey, L.G. & Santos Silva, J.M.C., 2007. "A note on variable addition tests for linear and log-linear models," Economics Letters, Elsevier, vol. 95(3), pages 422-427, June.
    38. Hugh Gravelle & John Wildman & Matthew Sutton, "undated". "Income, Income Inequality and Health: What can we Learn from Aggregate Data?," Discussion Papers 00/26, Department of Economics, University of York.

  347. Maxwell L. King & Michael McAleer, 1987. "Further Results on Testing AR (1) Against MA (1) Disturbances in the Linear Regression Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 54(4), pages 649-663.

    Cited by:

    1. MacKinnon, James G, 1992. "Model Specification Tests and Artificial Regressions," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 102-146, March.
    2. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    3. McAleer, Michael, 1994. "Sherlock Holmes and the Search for Truth: A Diagnostic Tale," Journal of Economic Surveys, Wiley Blackwell, vol. 8(4), pages 317-370, December.
    4. Ai Deng Author-X-Name-First: Ai, 2006. "Local Power of Andrews and Ploberger Tests Against Nearly Integrated, Nearly White Noise Process," Boston University - Department of Economics - Working Papers Series WP2006-027, Boston University - Department of Economics.
    5. Atukorala, Ranjani & Sriananthakumar, Sivagowry, 2015. "A comparison of the accuracy of asymptotic approximations in the dynamic regression model using Kullback-Leibler information," Economic Modelling, Elsevier, vol. 45(C), pages 169-174.
    6. Neil R. Ericsson, 1987. "Monte Carlo methodology and the finite sample properties of statistics for testing nested and non-nested hypotheses," International Finance Discussion Papers 317, Board of Governors of the Federal Reserve System (U.S.).
    7. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, The University of Osaka.
    8. Baltagi, Badi H. & Li, Qi, 1995. "Testing AR(1) against MA(1) disturbances in an error component model," Journal of Econometrics, Elsevier, vol. 68(1), pages 133-151, July.
    9. Sriananthakumar, Sivagowry, 2013. "Testing linear regression model with AR(1) errors against a first-order dynamic linear regression model with white noise errors: A point optimal testing approach," Economic Modelling, Elsevier, vol. 33(C), pages 126-136.
    10. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    11. Sriananthakumar, Sivagowry, 2015. "Approximate Non-Similar critical values based tests vs Maximized Monte Carlo tests," Economic Modelling, Elsevier, vol. 49(C), pages 387-394.
    12. Silvapulle, Paramsothy & King, Maxwell L., 1993. "Nonnested testing for autocorrelation in the linear regression model," Journal of Econometrics, Elsevier, vol. 58(3), pages 295-314, August.
    13. Deng, Ai, 2010. "Local power of consistent tests for serial correlation against the nearly integrated, nearly white noise process," Economics Letters, Elsevier, vol. 107(1), pages 22-25, April.
    14. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.
    15. Colin R. McKenzie & Michael McAleer & Len Gill, 1999. "Simple Procedures for Testing Autoregressive Versus Moving Average Errors in Regression Models," The Japanese Economic Review, Japanese Economic Association, vol. 50(3), pages 239-252, September.
    16. Chan, Felix & Pauwels, Laurent L. & Wongsosaputro, Johnathan, 2013. "The impact of serial correlation on testing for structural change in binary choice model: Monte Carlo evidence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 175-189.

  348. McAleer, Michael & Pagan, Adrian & Visco, Ignazio, 1986. "A further result on the sign of restricted least-squares estimates," Journal of Econometrics, Elsevier, vol. 32(2), pages 287-290, July.

    Cited by:

    1. Brian Knaeble & Seth Dutter, 2017. "Reversals of Least-Square Estimates and Model-Invariant Estimation for Directions of Unique Effects," The American Statistician, Taylor & Francis Journals, vol. 71(2), pages 97-105, April.
    2. M. Hashem Pesaran & Ron P. Smith, 2013. "Signs of Impact Effects in Time Series Regression Models," CESifo Working Paper Series 4433, CESifo.
    3. Giles, David E. A., "undated". "Coefficient Sign Changes When Restricting Regression Models Under Instrumental Variables Estimation," Department of Economics Discussion Papers 262922, University of Canterbury - New Zealand.

  349. McAleer, Michael & Pagan, Adrian R & Volker, Paul A, 1985. "What Will Take the Con out of Econometrics?," American Economic Review, American Economic Association, vol. 75(3), pages 293-307, June.
    See citations under working paper version above.
  350. Allan W. Gregory & Michael McAleer, 1983. "Testing Non-Nested Specifications of Money Demand for Canada," Canadian Journal of Economics, Canadian Economics Association, vol. 16(4), pages 593-602, November.

    Cited by:

    1. Alston, Julian M. & Chalfant, James A., 1987. "Weak Separability And A Test For The Specification Of Income In Demand Models With An Application To The Demand For Meat In Australia," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 31(01), pages 1-15, April.
    2. P. J. Gunawardana & E. A. Oczkowski, 1992. "Government Policies And Agricultural Supply Response: Paddy In Sri Lanka," Journal of Agricultural Economics, Wiley Blackwell, vol. 43(2), pages 231-242, May.
    3. Chen, Yi-Ting, 2006. "Non-nested tests for competing U.S. narrow money demand functions," Economic Modelling, Elsevier, vol. 23(2), pages 339-363, March.
    4. McAleer, Michael, 1995. "The significance of testing empirical non-nested models," Journal of Econometrics, Elsevier, vol. 67(1), pages 149-171, May.
    5. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.

  351. Bera, Anvil K & McAleer, Michael, 1983. "Some Exact Tests for Model Specification," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 351-354, May.
    See citations under working paper version above.
  352. McAleer, Michael & Fisher, Gordon, 1982. "Testing separate regression models subject to specification error," Journal of Econometrics, Elsevier, vol. 19(1), pages 125-145, May.
    See citations under working paper version above.
  353. McAleer, Michael & Fisher, Gordon & Volker, Paul, 1982. "Separate Misspecified Regressions and the U.S. Long-Run Demand for Money Function," The Review of Economics and Statistics, MIT Press, vol. 64(4), pages 572-583, November.
    See citations under working paper version above.
  354. Fisher, Gordon R. & McAleer, Michael, 1981. "Alternative procedures and associated tests of significance for non-nested hypotheses," Journal of Econometrics, Elsevier, vol. 16(1), pages 103-119, May.
    See citations under working paper version above.
  355. McAleer, Michael, 1981. "A small sample test for non-nested regression models," Economics Letters, Elsevier, vol. 7(4), pages 335-338.

    Cited by:

    1. Eales, James S., 1985. "Non-Nested Testing In Logit Models: An Alternative Approach," 1985 Annual Meeting, August 4-7, Ames, Iowa 278527, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Mizon, Grayham E & Richard, Jean-Francois, 1986. "The Encompassing Principle and Its Application to Testing Non-nested Hypotheses," Econometrica, Econometric Society, vol. 54(3), pages 657-678, May.

  356. Allan W. Gregory & Michael McAleer, 1981. "Simultaneity and the Demand for Money in Canada: Comments and Extensions," Canadian Journal of Economics, Canadian Economics Association, vol. 14(3), pages 488-496, August.

    Cited by:

    1. Bardsen, Gunnar, "undated". "Dynamic Modelling And The Demand For Narrow Money In Norway," Economic Research Papers 268479, University of Warwick - Department of Economics.

  357. Gordon Fisher & Michael McAleer & Diana Whistler, 1981. "Interest Rates and Durability in the Linear Expenditure Family," Canadian Journal of Economics, Canadian Economics Association, vol. 14(2), pages 331-341, May.
    See citations under working paper version above.
  358. McAleer, Michael, 1980. "The minimum error variance rule for non-linear regression models," Economics Letters, Elsevier, vol. 6(1), pages 17-21.

    Cited by:

    1. Fisher, Gordon & McAleer, Michael, 1980. "Principles and Methods in the Testing of Alternative Models," Queen's Institute for Economic Research Discussion Papers 275167, Queen's University - Department of Economics.

  359. Fisher, Gordon & McAleer, Michael, 1979. "On the interpretation of the cox test in econometrics," Economics Letters, Elsevier, vol. 4(2), pages 145-150.
    See citations under working paper version above.
  360. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, . "Modeling conditional correlations for risk diversification in crude oil markets," Journal of Energy Markets, Journal of Energy Markets.
    See citations under working paper version above.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Zellner,Arnold & Keuzenkamp,Hugo A. & McAleer,Michael (ed.), 2009. "Simplicity, Inference and Modelling," Cambridge Books, Cambridge University Press, number 9780521121354, Enero-Abr.

    Cited by:

    1. Wu, Pei-Ling & Yeh, Shih-Shuo & Huan, Tzung-Cheng (.T.C.). & Woodside, Arch G., 2014. "Applying complexity theory to deepen service dominant logic: Configural analysis of customer experience-and-outcome assessments of professional services for personal transformations," Journal of Business Research, Elsevier, vol. 67(8), pages 1647-1670.

  2. Riaz Shareef & Suheija Hoti & Michael McAleer, 2008. "The Economics of Small Island Tourism," Books, Edward Elgar Publishing, number 12968, June.

    Cited by:

    1. Eugenio Figueroa B. & Elena S. Rotarou, 2016. "Sustainable Development or Eco-Collapse: Lessons for Tourism and Development from Easter Island," Sustainability, MDPI, vol. 8(11), pages 1-26, October.
    2. Ridderstaat, Jorge & Oduber, Marck & Croes, Robertico & Nijkamp, Peter & Martens, Pim, 2014. "Impacts of seasonal patterns of climate on recurrent fluctuations in tourism demand: Evidence from Aruba," Tourism Management, Elsevier, vol. 41(C), pages 245-256.
    3. Podhorodecka Katarzyna, 2018. "Island tourism during the global economic crisis," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 22(3), pages 130-141, September.
    4. F. Cerina, 2012. "Endogenous Growth and Sustainable Tourism," Working Paper CRENoS 201234, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  3. Zellner,Arnold & Keuzenkamp,Hugo A. & McAleer,Michael (ed.), 2002. "Simplicity, Inference and Modelling," Cambridge Books, Cambridge University Press, number 9780521803618, Enero-Abr.

    Cited by:

    1. Nikolopoulos, Konstantinos, 2021. "We need to talk about intermittent demand forecasting," European Journal of Operational Research, Elsevier, vol. 291(2), pages 549-559.
    2. Patrick Marsh, "undated". "The Available Information for Invariant Tests of a Unit Root," Discussion Papers 05/03, Department of Economics, University of York.
    3. Phillips, Peter C. B., 2002. "New unit root asymptotics in the presence of deterministic trends," Journal of Econometrics, Elsevier, vol. 111(2), pages 323-353, December.

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