Manabu Asai
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.Working papers
- Benjamin Poignard & Manabu Asai, 2021.
"Estimation of High Dimensional Vector Autoregression via Sparse Precision Matrix,"
Discussion Papers in Economics and Business
21-03, Osaka University, Graduate School of Economics.
- Benjamin Poignard & Manabu Asai, 2023. "Estimation of high-dimensional vector autoregression via sparse precision matrix," The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 307-326.
Cited by:
- Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
- 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.
- 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.
Cited by:
- 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).
- Assaf, Ata & Charif, Husni & Mokni, Khaled, 2021. "Dynamic connectedness between uncertainty and energy markets: Do investor sentiments matter?," Resources Policy, Elsevier, vol. 72(C).
- 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.
- 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.
- 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.
- 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).
- 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," GRU Working Paper Series GRU_2021_017, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021.
"El Nino, La Nina, and the Forecastability of the Realized Variance of Heating Oil Price Movements,"
Working Papers
202138, University of Pretoria, Department of Economics.
- 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.
- Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022.
"Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests,"
Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
- 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.
- 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).
- 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).
- 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.
- Xin Sheng & Won Joong Kim & Rangan Gupta, 2021. "The Impacts of Oil Price Volatility on Financial Stress: Is the COVID-19 Period Different?," Working Papers 202184, University of Pretoria, Department of Economics.
- 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.
- 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).
- 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).
- 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).
- 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).
- Jiawen Luo & Riza Demirer & Rangan Gupta & Qiang Ji, 2021. "Forecasting Oil and Gold Volatilities with Sentiment Indicators Under Structural Breaks," Working Papers 202130, University of Pretoria, Department of Economics.
- 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.
- 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.
- Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020.
"A Note on Investor Happiness and the Predictability of Realized Volatility of Gold,"
Working Papers
202004, University of Pretoria, Department of Economics.
- 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).
- Rangan Gupta & Christian Pierdzioch, 2021.
"Climate Risks and Forecastability of the Realized Volatility of Gold and Other Metal Prices,"
Working Papers
202172, University of Pretoria, Department of Economics.
- 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).
- 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.
- Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
- 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.
- 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).
- 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).
- 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.
- 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).
- Mehmet Balcilar & Rangan Gupta & Jacobus Nel, 2022. "Rare Disaster Risks and Gold over 700 Years: Evidence from Nonparametric Quantile Regressions," Working Papers 202231, University of Pretoria, Department of Economics.
- Rangan Gupta & Christian Pierdzioch, 2021.
"Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers,"
Working Papers
202135, University of Pretoria, Department of Economics.
- 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.
- 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.
- Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2021. "Geopolitical risk and forecastability of tail risk in the oil market: Evidence from over a century of monthly data," Energy, Elsevier, vol. 235(C).
- 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.
- Gong, Xu & Xu, Jun, 2022. "Geopolitical risk and dynamic connectedness between commodity markets," Energy Economics, Elsevier, vol. 110(C).
- 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).
- Oguzhan Cepni & Rangan Gupta & Daniel Pienaar & Christian Pierdzioch, 2022. "Forecasting the Realized Variance of Oil-Price Returns Using Machine-Learning: Is there a Role for U.S. State-Level Uncertainty?," Working Papers 202205, University of Pretoria, Department of Economics.
- 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).
- 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.
- 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.
- Salisu, Afees A. & Gupta, Rangan & Bouri, Elie & Ji, Qiang, 2020. "The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach," Research in International Business and Finance, Elsevier, vol. 54(C).
- 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).
- Rangan Gupta & Qiang Ji & Christian Pierdzioch & Vasilios Plakandaras, 2023. "Forecasting the Conditional Distribution of Realized Volatility of Oil Price Returns: The Role of Skewness over 1859 to 2023," Working Papers 202318, University of Pretoria, Department of Economics.
- Elie Bouri & Rangan Gupta & Jacobus Nel & Sisa Shiba, 2022.
"Contagious Diseases and Gold: Over 700 Years of Evidence from Quantile Regressions,"
Working Papers
202233, University of Pretoria, Department of Economics.
- 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).
- Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian & Yoon, Seong-Min, 2021.
"OPEC news and jumps in the oil market,"
Energy Economics, Elsevier, vol. 96(C).
- 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.
- 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).
- 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.
- 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).
- 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).
- 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).
- Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2022.
"Oil tail risks and the forecastability of the realized variance of oil-price: Evidence from over 150 years of data,"
Finance Research Letters, Elsevier, vol. 46(PB).
- 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.
- 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.
- 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).
- 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).
- 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.
- 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).
- 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).
- 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).
- 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).
- Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2020. "The Predictive Power of Oil Price Shocks on Realized Volatility of Oil: A Note," Working Papers 202044, University of Pretoria, Department of Economics.
- 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).
- 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).
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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).
- 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).
- 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.
- 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).
- 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).
- 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).
- 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.
- 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).
- 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.
- 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.
- 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.
- Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of jumps and leverage in forecasting the co-volatility of oil and gold futures," Documentos de Trabajo del ICAE 2019-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
Cited by:
- 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.
- 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.
- 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.
- 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).
- 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," GRU Working Paper Series GRU_2021_017, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
- Mehmet Balcilar & Elie Bouri & Rangan Gupta & Christian Pierdzioch, 2021.
"El Nino, La Nina, and the Forecastability of the Realized Variance of Heating Oil Price Movements,"
Working Papers
202138, University of Pretoria, Department of Economics.
- 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.
- Donghua Wang & Tianhui Fang, 2022. "Forecasting Crude Oil Prices with a WT-FNN Model," Energies, MDPI, vol. 15(6), pages 1-21, March.
- Riza Demirer & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2022.
"Risk aversion and the predictability of crude oil market volatility: A forecasting experiment with random forests,"
Journal of the Operational Research Society, Taylor & Francis Journals, vol. 73(8), pages 1755-1767, August.
- 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.
- 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.
- Xin Sheng & Won Joong Kim & Rangan Gupta, 2021. "The Impacts of Oil Price Volatility on Financial Stress: Is the COVID-19 Period Different?," Working Papers 202184, University of Pretoria, Department of Economics.
- 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.
- 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).
- Jiawen Luo & Riza Demirer & Rangan Gupta & Qiang Ji, 2021. "Forecasting Oil and Gold Volatilities with Sentiment Indicators Under Structural Breaks," Working Papers 202130, University of Pretoria, Department of Economics.
- Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020.
"A Note on Investor Happiness and the Predictability of Realized Volatility of Gold,"
Working Papers
202004, University of Pretoria, Department of Economics.
- 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).
- Rangan Gupta & Christian Pierdzioch, 2021.
"Climate Risks and Forecastability of the Realized Volatility of Gold and Other Metal Prices,"
Working Papers
202172, University of Pretoria, Department of Economics.
- 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).
- 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.
- Rangan Gupta & Christian Pierdzioch, 2021. "Climate Risks and the Realized Volatility Oil and Gas Prices: Results of an Out-of-Sample Forecasting Experiment," Working Papers 202175, University of Pretoria, Department of Economics.
- 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.
- 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).
- Mehmet Balcilar & Rangan Gupta & Jacobus Nel, 2022. "Rare Disaster Risks and Gold over 700 Years: Evidence from Nonparametric Quantile Regressions," Working Papers 202231, University of Pretoria, Department of Economics.
- 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).
- 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.
- Rangan Gupta & Christian Pierdzioch, 2021.
"Forecasting the Volatility of Crude Oil: The Role of Uncertainty and Spillovers,"
Working Papers
202135, University of Pretoria, Department of Economics.
- 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.
- Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2021.
"A note on oil price shocks and the forecastability of gold realized volatility,"
Applied Economics Letters, Taylor & Francis Journals, vol. 28(21), pages 1889-1897, December.
- 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.
- 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).
- Oguzhan Cepni & Rangan Gupta & Daniel Pienaar & Christian Pierdzioch, 2022. "Forecasting the Realized Variance of Oil-Price Returns Using Machine-Learning: Is there a Role for U.S. State-Level Uncertainty?," Working Papers 202205, University of Pretoria, Department of Economics.
- 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.
- 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.
- Salisu, Afees A. & Gupta, Rangan & Bouri, Elie & Ji, Qiang, 2020. "The role of global economic conditions in forecasting gold market volatility: Evidence from a GARCH-MIDAS approach," Research in International Business and Finance, Elsevier, vol. 54(C).
- 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).
- Rangan Gupta & Qiang Ji & Christian Pierdzioch & Vasilios Plakandaras, 2023. "Forecasting the Conditional Distribution of Realized Volatility of Oil Price Returns: The Role of Skewness over 1859 to 2023," Working Papers 202318, University of Pretoria, Department of Economics.
- Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian & Yoon, Seong-Min, 2021.
"OPEC news and jumps in the oil market,"
Energy Economics, Elsevier, vol. 96(C).
- 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.
- 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.
- 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.
- 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).
- 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.
- 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).
- Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2020. "The Predictive Power of Oil Price Shocks on Realized Volatility of Oil: A Note," Working Papers 202044, University of Pretoria, Department of Economics.
- 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).
- 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:
- Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
Cited by:
- 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).
- P. de Zea Bermudez & J. Miguel Marín & Helena Veiga, 2020.
"Data cloning estimation for asymmetric stochastic volatility models,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1057-1074, November.
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Lopes Moreira Da Veiga, María 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 EstadÃstica.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017.
"Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory,"
Documentos de Trabajo del ICAE
2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- 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.
- 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.
- 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.
- 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.
- 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," Documentos de Trabajo del ICAE 2017-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Rue, Havard & Lopes Moreira Da Veiga, María Helena, 2021. "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 31804, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- 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.
- 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.
- 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.
- 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.
- 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.
- Jia Liu, 2021. "A Bayesian Semiparametric Realized Stochastic Volatility Model," JRFM, MDPI, vol. 14(12), pages 1-22, December.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2017. "Forecasting the Volatility of Nikkei 225 Futures," Tinbergen Institute Discussion Papers 17-017/III, Tinbergen Institute.
- 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.
Cited by:
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Documentos de Trabajo del ICAE 2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
Cited by:
- 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).
- P. de Zea Bermudez & J. Miguel Marín & Helena Veiga, 2020.
"Data cloning estimation for asymmetric stochastic volatility models,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1057-1074, November.
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Lopes Moreira Da Veiga, María 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 EstadÃstica.
- Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017.
"Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory,"
Documentos de Trabajo del ICAE
2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- 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.
- 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.
- 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.
- 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," Documentos de Trabajo del ICAE 2017-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Schatz, Michael & Wheatley, Spencer & Sornette, Didier, 2022. "The ARMA Point Process and its Estimation," Econometrics and Statistics, Elsevier, vol. 24(C), pages 164-182.
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Rue, Havard & Lopes Moreira Da Veiga, María Helena, 2021. "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 31804, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- 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.
- 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.
- 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.
- Jia Liu, 2021. "A Bayesian Semiparametric Realized Stochastic Volatility Model," JRFM, MDPI, vol. 14(12), pages 1-22, December.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- 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.
Cited by:
- 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.
- Leopoldo Catania & Tommaso Proietti, 2019. "Forecasting Volatility with Time-Varying Leverage and Volatility of Volatility Effects," CEIS Research Paper 450, Tor Vergata University, CEIS, revised 06 Feb 2019.
- Ilya Archakov & Peter Reinhard Hansen & Asger Lunde, 2020. "A Multivariate Realized GARCH Model," Papers 2012.02708, arXiv.org.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2018.
"Bayesian Analysis of Realized Matrix-Exponential GARCH Models,"
Tinbergen Institute Discussion Papers
18-005/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2018. "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE 2018-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Ilya Archakov & Peter Reinhard Hansen, 2021.
"A New Parametrization of Correlation Matrices,"
Econometrica, Econometric Society, vol. 89(4), pages 1699-1715, July.
- Ilya Archakov & Peter Reinhard Hansen, 2020. "A New Parametrization of Correlation Matrices," Papers 2012.02395, arXiv.org.
- Yuta Kurose & Yasuhiro Omori, 2016.
"Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity,"
CIRJE F-Series
CIRJE-F-1024, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- 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.
- 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," Documentos de Trabajo del ICAE 2017-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015.
"Cholesky Realized Stochastic Volatility Model,"
CIRJE F-Series
CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- Yuta Kurose, 2021. "Stochastic volatility model with range-based correction and leverage," Papers 2110.00039, arXiv.org, revised Oct 2021.
- 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.
- 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.
- 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.
- 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.
- Shelton Peiris & Manabu Asai & Michael McAleer, 2016. "Estimating and forecasting generalized fractional Long memory stochastic volatility models," Documentos de Trabajo del ICAE 2016-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
Cited by:
- Shang, Yuhuang & Zheng, Tingguo, 2021. "Mixed-frequency SV model for stock volatility and macroeconomics," Economic Modelling, Elsevier, vol. 95(C), pages 462-472.
- 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).
- 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.
- Manabu Asai & Michael McAleer, 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Documentos de Trabajo del ICAE 2016-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2016. "Asymptotic Theory for Extended Asymmetric Multivariate GARCH Processes," Tinbergen Institute Discussion Papers 16-071/III, Tinbergen Institute.
Cited by:
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Documentos de Trabajo del ICAE 2015-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Tinbergen Institute Discussion Papers 15-018/III, Tinbergen Institute.
Cited by:
- 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.
- 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.
- Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of jumps and leverage in forecasting the co-volatility of oil and gold futures," Documentos de Trabajo del ICAE 2019-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
- 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).
- 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).
- Jiawen Luo & Riza Demirer & Rangan Gupta & Qiang Ji, 2021. "Forecasting Oil and Gold Volatilities with Sentiment Indicators Under Structural Breaks," Working Papers 202130, University of Pretoria, Department of Economics.
- Manabu Asai & Michael McAleer, 2018.
"Bayesian Analysis of Realized Matrix-Exponential GARCH Models,"
Tinbergen Institute Discussion Papers
18-005/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2018. "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE 2018-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
- 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.
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Tinbergen Institute Discussion Papers 14-037/III, Tinbergen Institute.
Cited by:
- 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).
- 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.
- Manabu Asai & Michael McAleer, 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Documentos de Trabajo del ICAE 2015-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Tinbergen Institute Discussion Papers 15-018/III, Tinbergen Institute.
- 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.
- 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.
- 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).
- Jiawen Luo & Riza Demirer & Rangan Gupta & Qiang Ji, 2021. "Forecasting Oil and Gold Volatilities with Sentiment Indicators Under Structural Breaks," Working Papers 202130, University of Pretoria, Department of Economics.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- 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.
- Xin Jin & John M. Maheu & Qiao Yang, 2018. "Bayesian Parametric and Semiparametric Factor Models for Large Realized Covariance Matrices," Working Paper series 18-02, Rimini Centre for Economic Analysis.
- Xin Jin & John M. Maheu & Qiao Yang, 2019. "Bayesian parametric and semiparametric factor models for large realized covariance matrices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(5), pages 641-660, August.
- Manabu Asai & Michael McAleer, 2018.
"Bayesian Analysis of Realized Matrix-Exponential GARCH Models,"
Tinbergen Institute Discussion Papers
18-005/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2018. "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE 2018-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- 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.
- Hartl, Tobias & Weigand, Roland, 2019.
"Multivariate Fractional Components Analysis,"
University of Regensburg Working Papers in Business, Economics and Management Information Systems
38283, University of Regensburg, Department of Economics.
- Tobias Hartl & Roland Weigand, 2018. "Multivariate Fractional Components Analysis," Papers 1812.09149, arXiv.org, revised Jan 2019.
- 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.
- 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.
- 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).
- 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).
- 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.
- Shiqing Ling & Michael McAleer & Howell Tong, 2015.
"Frontiers in Time Series and Financial Econometrics: An Overview,"
Documentos de Trabajo del ICAE
2015-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Asai, M. & McAleer, M.J., 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Econometric Institute Research Papers EI2016-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos de Trabajo del ICAE 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
Cited by:
- Manabu Asai & Michael McAleer, 2013.
"A Fractionally Integrated Wishart Stochastic Volatility Model,"
Tinbergen Institute Discussion Papers
13-025/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Documentos de Trabajo del ICAE 2014-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chang, Chia-Lin & McAleer, Michael, 2015. "Econometric analysis of financial derivatives: An overview," Journal of Econometrics, Elsevier, vol. 187(2), pages 403-407.
- Chia-Lin Chang & Michael McAleer, 2014. "Econometric Analysis of Financial Derivatives: An Overview," Tinbergen Institute Discussion Papers 14-153/III, Tinbergen Institute.
- 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.
- M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
- 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).
- 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).
- 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).
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2013.
"A Fractionally Integrated Wishart Stochastic Volatility Model,"
KIER Working Papers
848, Kyoto University, Institute of Economic Research.
- 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.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
Cited by:
- Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
- 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.
- 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.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- Asai, M. & Caporin, M. & McAleer, M.J., 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
Cited by:
- Shawkat Hammoudeh & Michael McAleer, 2014.
"Advances in Financial Risk Management andEconomic Policy Uncertainty: An Overview,"
Documentos de Trabajo del ICAE
2014-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- 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.
- Benjamin Poignard & Manabu Asai, 2022.
"High-Dimensional Sparse Multivariate Stochastic Volatility Models,"
Papers
2201.08584, arXiv.org, revised May 2022.
- 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.
- Yuta Kurose & Yasuhiro Omori, 2016.
"Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity,"
CIRJE F-Series
CIRJE-F-1024, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011.
"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
Cited by:
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Ilya Archakov & Peter Reinhard Hansen & Asger Lunde, 2020. "A Multivariate Realized GARCH Model," Papers 2012.02708, arXiv.org.
- Yuta Kurose & Yasuhiro Omori, 2014.
"Dynamic Equicorrelation Stochastic Volatility,"
CIRJE F-Series
CIRJE-F-941, CIRJE, Faculty of Economics, University of Tokyo.
- Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
- Yuta Kurose & Yasuhiro Omori, 2013. "Dynamic Equicorrelation Stochastic Volatility," CIRJE F-Series CIRJE-F-907, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2018.
"Bayesian Analysis of Realized Matrix-Exponential GARCH Models,"
Tinbergen Institute Discussion Papers
18-005/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2018. "Bayesian analysis of realized matrix-exponential GARCH models," Documentos de Trabajo del ICAE 2018-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Ilya Archakov & Peter Reinhard Hansen, 2021.
"A New Parametrization of Correlation Matrices,"
Econometrica, Econometric Society, vol. 89(4), pages 1699-1715, July.
- Ilya Archakov & Peter Reinhard Hansen, 2020. "A New Parametrization of Correlation Matrices," Papers 2012.02395, arXiv.org.
- Yuta Kurose & Yasuhiro Omori, 2016.
"Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity,"
CIRJE F-Series
CIRJE-F-1024, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
- 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.
- 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.
- Jouchi Nakajima, 2017. "Bayesian analysis of multivariate stochastic volatility with skew return distribution," Econometric Reviews, Taylor & Francis Journals, vol. 36(5), pages 546-562, May.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011.
"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015.
"Cholesky Realized Stochastic Volatility Model,"
CIRJE F-Series
CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- Yuta Kurose, 2021. "Stochastic volatility model with range-based correction and leverage," Papers 2110.00039, arXiv.org, revised Oct 2021.
- 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.
- 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.
- Wu, Xinyu & Wang, Xiaona, 2020. "Forecasting volatility using realized stochastic volatility model with time-varying leverage effect," Finance Research Letters, Elsevier, vol. 34(C).
- Tian, Shuairu & Hamori, Shigeyuki, 2015. "Modeling interest rate volatility: A Realized GARCH approach," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 158-171.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Modelling and Forecasting Noisy Realized Volatility," KIER Working Papers 758, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Modelling and Forecasting Noisy Realized Volatility," Documentos de Trabajo del ICAE 2011-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Asai, M. & McAleer, M.J. & Medeiros, M., 2011. "Modelling and Forecasting Noisy Realized Volatility," Econometric Institute Research Papers EI 2011-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
Cited by:
- Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010.
"Asymmetry and Long Memory in Volatility Modelling,"
KIER Working Papers
726, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Asymmetry and Long Memory in Volatility Modelling," Documentos de Trabajo del ICAE 2011-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- Grassi, Stefano & Santucci de Magistris, Paolo, 2015. "It's all about volatility of volatility: Evidence from a two-factor stochastic volatility model," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 62-78.
- Stefano Grassi & Paolo Santucci de Magistris, 2013. "It's all about volatility of volatility: evidence from a two-factor stochastic volatility model," Studies in Economics 1404, School of Economics, University of Kent.
- Maki, Daiki & Ota, Yasushi, 2021. "Impacts of asymmetry on forecasting realized volatility in Japanese stock markets," Economic Modelling, Elsevier, vol. 101(C).
- Diep Duong & Norman Swanson, 2013.
"Empirical Evidence on the Importance of Aggregation, Asymmetry, and Jumps for Volatility Prediction,"
Departmental Working Papers
201321, Rutgers University, Department of Economics.
- 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.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2013. "Realized Stochastic Volatility with Leverage and Long Memory," CIRJE F-Series CIRJE-F-880, CIRJE, Faculty of Economics, University of Tokyo.
- Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2012. "Realized stochastic volatility with leverage and long memory," CIRJE F-Series CIRJE-F-869, CIRJE, Faculty of Economics, University of Tokyo.
- Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
- 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.
- 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.
- 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.
- Tim Bollerslev & Andrew J. Patton & Rogier Quaedvlieg, 2015.
"Exploiting the Errors: A Simple Approach for Improved Volatility Forecasting,"
CREATES Research Papers
2015-14, Department of Economics and Business Economics, Aarhus University.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Daiki Maki & Yasushi Ota, 2020. "The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets," Papers 2006.00158, arXiv.org.
- 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.
- 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.
- Asai, M. & Caporin, M., 2009. "Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2009-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
Cited by:
- Shawkat Hammoudeh & Michael McAleer, 2014.
"Advances in Financial Risk Management andEconomic Policy Uncertainty: An Overview,"
Documentos de Trabajo del ICAE
2014-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos de Trabajo del ICAE 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- Nguyen, Hoang & Virbickaitė, Audronė, 2023.
"Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models,"
Energy Economics, Elsevier, vol. 124(C).
- Nguyen, Hoang & Virbickaite, Audrone, 2022. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Working Papers 2022:5, Örebro University, School of Business.
- 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.
- Guilherme Valle Moura & João Frois Caldeira & André Santos, 2014. "Seleção De Carteiras Utilizando O Modelofama-French-Carhart," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 117, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
- 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.
- 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.
- 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.
- 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.
- Massimiliano Caporin & Michael McAleer, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Documentos de Trabajo del ICAE 2012-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
- Caporin, M. & McAleer, M.J., 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Econometric Institute Research Papers EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
- Asai, M. & Caporin, M. & McAleer, M.J., 2012.
"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2013.
"Risk spillovers in international equity portfolios,"
Journal of Empirical Finance, Elsevier, vol. 24(C), pages 121-137.
- 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.
- Matteo Bonato & Massimiliano Caporin & Angelo Ranaldo, 2012. "Risk spillovers in international equity portfolios," Working Papers 2012-03, Swiss National Bank.
- Yuta Kurose & Yasuhiro Omori, 2014.
"Dynamic Equicorrelation Stochastic Volatility,"
CIRJE F-Series
CIRJE-F-941, CIRJE, Faculty of Economics, University of Tokyo.
- Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
- Yuta Kurose & Yasuhiro Omori, 2013. "Dynamic Equicorrelation Stochastic Volatility," CIRJE F-Series CIRJE-F-907, CIRJE, Faculty of Economics, University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2009.
"Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models,"
CIRJE F-Series
CIRJE-F-638, CIRJE, Faculty of Economics, University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," Documentos de Trabajo del ICAE 2009-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- Benjamin Poignard & Manabu Asai, 2022.
"High-Dimensional Sparse Multivariate Stochastic Volatility Models,"
Papers
2201.08584, arXiv.org, revised May 2022.
- 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.
- 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.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-746, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-700, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," CARF F-Series CARF-F-198, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CARF F-Series CARF-F-221, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2010.
"Ranking Multivariate GARCH Models by Problem Dimension,"
"Marco Fanno" Working Papers
0124, Dipartimento di Scienze Economiche "Marco Fanno".
- Caporin, M. & McAleer, M.J., 2010. "Ranking multivariate GARCH models by problem dimension," Econometric Institute Research Papers EI 2010-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," CIRJE F-Series CIRJE-F-742, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- 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.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2012. "Financial Risk Measurement for Financial Risk Management," NBER Working Papers 18084, National Bureau of Economic Research, Inc.
- Torben G. Andersen & Tim Bollerslev & Peter F. Christoffersen & Francis X. Diebold, 2011. "Financial Risk Measurement for Financial Risk Management," CREATES Research Papers 2011-37, Department of Economics and Business Economics, Aarhus University.
- 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.
- 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.
- M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011.
"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Matteo Bonato & Massimiliano Caporin & Angelo Ranaldo, 2009.
"Forecasting realized (co)variances with a block structure Wishart autoregressive model,"
Working Papers
2009-03, Swiss National Bank.
- 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.
- Michael McAleer & Massimiliano Caporin, 2011.
"Ranking Multivariate GARCH Models by Problem Dimension:An Empirical Evaluation,"
KIER Working Papers
778, Kyoto University, Institute of Economic Research.
- Massimiliano Caporin & Michael McAleer, 2011. "Ranking Multivariate GARCH Models by Problem Dimension: An Empirical Evaluation," Documentos de Trabajo del ICAE 2011-20, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 EstadÃstica.
- Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010. "Asymmetry and Long Memory in Volatility Modelling," KIER Working Papers 726, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Asymmetry and Long Memory in Volatility Modelling," Documentos de Trabajo del ICAE 2011-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
Cited by:
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos de Trabajo del ICAE 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2013.
"A Fractionally Integrated Wishart Stochastic Volatility Model,"
Tinbergen Institute Discussion Papers
13-025/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2017. "Forecasting the Volatility of Nikkei 225 Futures," Tinbergen Institute Discussion Papers 17-017/III, Tinbergen Institute.
- 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.
- Cathy Ning & Dinghai Xu & Tony Wirjanto, 2014.
"Is Volatility Clustering of Asset Returns Asymmetric?,"
Working Papers
050, Ryerson University, Department of Economics.
- 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.
- 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.
- Maki, Daiki & Ota, Yasushi, 2021. "Impacts of asymmetry on forecasting realized volatility in Japanese stock markets," Economic Modelling, Elsevier, vol. 101(C).
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017.
"Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory,"
Documentos de Trabajo del ICAE
2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
- 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.
- Shelton Peiris & Manabu Asai & Michael McAleer, 2016.
"Estimating and forecasting generalized fractional Long memory stochastic volatility models,"
Documentos de Trabajo del ICAE
2016-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- 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 EstadÃstica.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Carl Lönnbark, 2016. "Asymmetry with respect to the memory in stock market volatilities," Empirical Economics, Springer, vol. 50(4), pages 1409-1419, June.
- 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).
- 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.
- 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.
- 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.
- 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.
- Asai, M. & McAleer, M.J., 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Econometric Institute Research Papers EI2016-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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).
- 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.
- 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.
- 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.
- Xu, Yongdeng, 2022. "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.
- 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).
- 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.
- Daiki Maki & Yasushi Ota, 2020. "The impacts of asymmetry on modeling and forecasting realized volatility in Japanese stock markets," Papers 2006.00158, arXiv.org.
- Manabu Asai & Michael McAleer, 2010.
"Alternative Asymmetric Stochastic Volatility Models,"
Working Papers in Economics
10/70, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2011. "Alternative Asymmetric Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
- Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CIRJE F-Series CIRJE-F-655, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," KIER Working Papers 739, Kyoto University, Institute of Economic Research.
- Asai, M. & McAleer, M.J., 2010. "Alternative Asymmetric Stochastic Volatility Models," Econometric Institute Research Papers EI 2010-69, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
Cited by:
- Afonso, António & Gomes, Pedro & Taamouti, Abderrahim, 2014.
"Sovereign credit ratings, market volatility, and financial gains,"
Working Paper Series
1654, European Central Bank.
- Afonso, António & Gomes, Pedro & Taamouti, Abderrahim, 2014. "Sovereign credit ratings, market volatility, and financial gains," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 20-33.
- António Afonso & Pedro Gomes & Abderrahim Taamouti, 2014. "Sovereign credit ratings, market volatility, and financial gains," Working Papers Department of Economics 2014/06, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
- Casas, Isabel & Lopes Moreira Da Veiga, María Helena, 2019.
"Exploring option pricing and hedging via volatility asymmetry,"
DES - Working Papers. Statistics and Econometrics. WS
28234, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CIRJE F-Series CIRJE-F-656, CIRJE, Faculty of Economics, University of Tokyo.
- P. de Zea Bermudez & J. Miguel Marín & Helena Veiga, 2020.
"Data cloning estimation for asymmetric stochastic volatility models,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1057-1074, November.
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Lopes Moreira Da Veiga, María 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 EstadÃstica.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010.
"Asymmetry and Long Memory in Volatility Modelling,"
KIER Working Papers
726, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Asymmetry and Long Memory in Volatility Modelling," Documentos de Trabajo del ICAE 2011-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- 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.
- Markus Haas & Jochen Krause & Marc S. Paolella & Sven C. Steude, 2013.
"Time-Varying Mixture GARCH Models and Asymmetric Volatility,"
Swiss Finance Institute Research Paper Series
13-04, Swiss Finance Institute.
- 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.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
- 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.
- 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.
- Michael McAleer, 2009.
"The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges,"
CIRJE F-Series
CIRJE-F-652, CIRJE, Faculty of Economics, University of Tokyo.
- Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," Documentos de Trabajo del ICAE 2009-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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 EstadÃstica.
- Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.
- 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 EstadÃstica.
- Antonis Demos, 2023. "Statistical Properties of Two Asymmetric Stochastic Volatility in Mean Models," DEOS Working Papers 2303, Athens University of Economics and Business.
- Carles Bret'o, 2013. "On idiosyncratic stochasticity of financial leverage effects," Papers 1312.5496, arXiv.org.
- 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.
- 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.
- 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).
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Rue, Havard & Lopes Moreira Da Veiga, María Helena, 2021. "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 31804, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Bretó, Carles, 2014. "On idiosyncratic stochasticity of financial leverage effects," Statistics & Probability Letters, Elsevier, vol. 91(C), pages 20-26.
- 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.
- Mao, Xiuping & Ruiz, Esther & Veiga, Helena, 2017. "Threshold stochastic volatility: Properties and forecasting," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1105-1123.
- 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.
- Asai, M. & McAleer, M.J., 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Econometric Institute Research Papers EI2016-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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).
- 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.
- 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.
- Omar Abbara & Mauricio Zevallos, 2022. "Maximum Likelihood Inference for Asymmetric Stochastic Volatility Models," Econometrics, MDPI, vol. 11(1), pages 1-18, December.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CIRJE F-Series CIRJE-F-656, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- 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.
- Siem Jan Koopman & Marcel Scharth, 2012. "The Analysis of Stochastic Volatility in the Presence of Daily Realized Measures," Journal of Financial Econometrics, Oxford University Press, vol. 11(1), pages 76-115, December.
- Manabu Asai & Michael McAleer & Jun Yu, 2006.
"Multivariate Stochastic Volatility,"
Microeconomics Working Papers
22058, East Asian Bureau of Economic Research.
- Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007. "Multivariate stochastic volatility," CIRJE F-Series CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
Cited by:
- Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011.
"Modelling and Forecasting Noisy Realized Volatility,"
KIER Working Papers
758, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Modelling and Forecasting Noisy Realized Volatility," Documentos de Trabajo del ICAE 2011-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Asai, M. & McAleer, M.J. & Medeiros, M., 2011. "Modelling and Forecasting Noisy Realized Volatility," Econometric Institute Research Papers EI 2011-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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 1-37, May.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos de Trabajo del ICAE 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Gregory Bauer & Keith Vorkink, 2007. "Multivariate Realized Stock Market Volatility," Staff Working Papers 07-20, Bank of Canada.
- 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.
- 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".
- Manabu Asai & Michael McAleer, 2013.
"A Fractionally Integrated Wishart Stochastic Volatility Model,"
Tinbergen Institute Discussion Papers
13-025/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Nguyen, Hoang & Virbickaitė, Audronė, 2023.
"Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models,"
Energy Economics, Elsevier, vol. 124(C).
- Nguyen, Hoang & Virbickaite, Audrone, 2022. "Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models," Working Papers 2022:5, Örebro University, School of Business.
- Casas, Isabel & Lopes Moreira Da Veiga, María Helena, 2019.
"Exploring option pricing and hedging via volatility asymmetry,"
DES - Working Papers. Statistics and Econometrics. WS
28234, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CIRJE F-Series CIRJE-F-656, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 17-022/III, Tinbergen Institute.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2017. "Testing for volatility co-movement in bivariate stochastic volatility models," Documentos de Trabajo del ICAE 2017-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Yu, Jun, 2012.
"A semiparametric stochastic volatility model,"
Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
- Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Vo, Minh, 2011. "Oil and stock market volatility: A multivariate stochastic volatility perspective," Energy Economics, Elsevier, vol. 33(5), pages 956-965, September.
- Koop, Gary & Korobilis, Dimitris, 2010.
"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
- Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper series 47_09, Rimini Centre for Economic Analysis.
- Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
- Xin Jin & John M. Maheu, 2014.
"Bayesian Semiparametric Modeling of Realized Covariance Matrices,"
Working Paper series
34_14, Rimini Centre for Economic Analysis.
- Jin, Xin & Maheu, John M., 2016. "Bayesian semiparametric modeling of realized covariance matrices," Journal of Econometrics, Elsevier, vol. 192(1), pages 19-39.
- Jin, Xin & Maheu, John M, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," MPRA Paper 60102, University Library of Munich, Germany.
- 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.
- 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.
- Chiriac, Roxana & Voev, Valeri, 2008.
"Modelling and forecasting multivariate realized volatility,"
CoFE Discussion Papers
08/06, University of Konstanz, Center of Finance and Econometrics (CoFE).
- 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.
- Roxana Chiriac & Valeri Voev, 2008. "Modelling and Forecasting Multivariate Realized Volatility," CREATES Research Papers 2008-39, Department of Economics and Business Economics, Aarhus University.
- 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.
- Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2012. "Multivariate high‐frequency‐based volatility (HEAVY) models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(6), pages 907-933, September.
- Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2011. "Multivariate High-Frequency-Based Volatility (HEAVY) Models," Economics Series Working Papers 533, University of Oxford, Department of Economics.
- Manabu Asai & Michael McAleer, 2009.
"Dynamic Conditional Correlations for Asymmetric Processes,"
CIRJE F-Series
CIRJE-F-657, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CARF F-Series CARF-F-168, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- 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.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Working Papers in Economics 10/76, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," KIER Working Papers 747, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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.
- Massimiliano Caporin & Michael McAleer, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Documentos de Trabajo del ICAE 2012-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
- Caporin, M. & McAleer, M.J., 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Econometric Institute Research Papers EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Asai, M. & Caporin, M., 2009. "Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2009-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- Jiří Witzany, 2013. "Estimating Correlated Jumps and Stochastic Volatilities," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(2), pages 251-283.
- 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.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Tinbergen Institute Discussion Papers 16-015/III, Tinbergen Institute.
- Chen, J. & Kobayashi, M. & McAleer, M.J., 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Econometric Institute Research Papers EI2016-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010.
"Asymmetry and Long Memory in Volatility Modelling,"
KIER Working Papers
726, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Asymmetry and Long Memory in Volatility Modelling," Documentos de Trabajo del ICAE 2011-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- Hans J. Skaug & Jun Yu, 2007.
"Automated Likelihood Based Inference for Stochastic Volatility Models,"
Working Papers
CoFie-01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Hans J. Skaug & Jun Yu, 2009. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 15-2009, Singapore Management University, School of Economics.
- Jun Yu, 2007. "Automated Likelihood Based Inference for Stochastic Volatility Models," Working Papers 01-2007, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- 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.
- 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.
- 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).
- Asai, M. & Caporin, M. & McAleer, M.J., 2012.
"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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, 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., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- 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.
- 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.
- Matteo Barigozzi & Marc Hallin, 2014. "Generalized Dynamic Factor Models and Volatilities. Recovering the Market Volatility Shocks," Working Papers ECARES ECARES 2014-52, ULB -- Universite Libre de Bruxelles.
- Matteo Barigozzi & Marc Hallin, 2016. "Generalized dynamic factor models and volatilities: recovering the market volatility shocks," Econometrics Journal, Royal Economic Society, vol. 19(1), pages 33-60, February.
- 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.
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"Risk spillovers in international equity portfolios,"
Journal of Empirical Finance, Elsevier, vol. 24(C), pages 121-137.
- 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.
- Matteo Bonato & Massimiliano Caporin & Angelo Ranaldo, 2012. "Risk spillovers in international equity portfolios," Working Papers 2012-03, Swiss National Bank.
- 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.
- Michael McAleer & Marcelo Medeiros, 2008.
"Realized Volatility: A Review,"
Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 10-45.
- Michael McAleer & Marcelo Cunha Medeiros, 2006. "Realized volatility: a review," Textos para discussão 531 Publication status: F, Department of Economics PUC-Rio (Brazil).
- 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.
- 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.
- Barigozzi, Matteo & Hallin, Marc, 2017.
"Generalized dynamic factor models and volatilities estimation and forecasting,"
LSE Research Online Documents on Economics
67455, London School of Economics and Political Science, LSE Library.
- Matteo Barigozzi & Marc Hallin, 2015. "Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting," Working Papers ECARES ECARES 2015-22, ULB -- Universite Libre de Bruxelles.
- Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities: estimation and forecasting," Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
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"Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model,"
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"Dynamic Equicorrelation Stochastic Volatility,"
CIRJE F-Series
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"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.
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"The International Transmission Of Volatility Shocks: An Empirical Analysis,"
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"Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models,"
Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
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"Model Selection and Testing of Conditional and Stochastic Volatility Models,"
Working Papers in Economics
10/58, University of Canterbury, Department of Economics and Finance.
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"Realized stochastic volatility with general asymmetry and long memory,"
Journal of Econometrics, Elsevier, vol. 199(2), pages 202-212.
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"Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models,"
CIRJE F-Series
CIRJE-F-638, CIRJE, Faculty of Economics, University of Tokyo.
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- 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.
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"Networks, Dynamic Factors, and the Volatility Analysis of High-Dimensional Financial Series,"
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1510.05118, arXiv.org, revised Jul 2016.
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"Matrix-State Particle Filter for Wishart Stochastic Volatility Processes,"
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2007_30, Department of Economics, University of Venice "Ca' Foscari".
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"The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges,"
CIRJE F-Series
CIRJE-F-652, CIRJE, Faculty of Economics, University of Tokyo.
- Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," Documentos de Trabajo del ICAE 2009-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
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"High-Dimensional Sparse Multivariate Stochastic Volatility Models,"
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"Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity,"
CIRJE F-Series
CIRJE-F-1024, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.
- 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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"A Hybrid Data Cloning Maximum Likelihood Estimator for Stochastic Volatility Models,"
IBMEC RJ Economics Discussion Papers
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"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.
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"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.
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- Michael McAleer & Marcelo C. Medeiros, 2009. "Forecasting Realized Volatility with Linear and Nonlinear Models," CIRJE F-Series CIRJE-F-686, CIRJE, Faculty of Economics, University of Tokyo.
- Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
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"Ranking Multivariate GARCH Models by Problem Dimension,"
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- 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.
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PIER Working Paper Archive
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"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
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- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
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"Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model,"
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"Multivariate stochastic volatility,"
CIRJE F-Series
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"Ranking Multivariate GARCH Models by Problem Dimension:An Empirical Evaluation,"
KIER Working Papers
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- 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.
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"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.
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"A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics,"
Tinbergen Institute Discussion Papers
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Documentos de Trabajo del ICAE
2009-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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"Asymmetric Multivariate Stochastic Volatility,"
DEA Working Papers
12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
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Cited by:
- 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.
- Liesenfeld, Roman & Richard, Jean-François, 2004.
"Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models,"
Economics Working Papers
2004-12, Christian-Albrechts-University of Kiel, Department of Economics.
- 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.
- Casas, Isabel & Lopes Moreira Da Veiga, María Helena, 2019.
"Exploring option pricing and hedging via volatility asymmetry,"
DES - Working Papers. Statistics and Econometrics. WS
28234, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- 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.
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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"A semiparametric stochastic volatility model,"
Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
- Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- 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.
- 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.
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"Block Structure Multivariate Stochastic Volatility Models,"
Working Papers in Economics
10/24, University of Canterbury, Department of Economics and Finance.
- 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.
- Asai, M. & Caporin, M., 2009. "Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2009-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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"A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries,"
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- Asai, M. & Caporin, M. & McAleer, M.J., 2012.
"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
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"The Factor–Spline–GARCH Model for High and Low Frequency Correlations,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 109-124.
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- Yuta Kurose & Yasuhiro Omori, 2014.
"Dynamic Equicorrelation Stochastic Volatility,"
CIRJE F-Series
CIRJE-F-941, CIRJE, Faculty of Economics, University of Tokyo.
- Kurose, Yuta & Omori, Yasuhiro, 2016. "Dynamic equicorrelation stochastic volatility," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 795-813.
- Yuta Kurose & Yasuhiro Omori, 2013. "Dynamic Equicorrelation Stochastic Volatility," CIRJE F-Series CIRJE-F-907, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Tinbergen Institute Discussion Papers 16-076/III, Tinbergen Institute.
- 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.
- 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.
- 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.
- Benjamin Poignard & Manabu Asai, 2022.
"High-Dimensional Sparse Multivariate Stochastic Volatility Models,"
Papers
2201.08584, arXiv.org, revised May 2022.
- 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.
- Yuta Kurose & Yasuhiro Omori, 2016.
"Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity,"
CIRJE F-Series
CIRJE-F-1024, CIRJE, Faculty of Economics, University of Tokyo.
- Yuta Kurose & Yasuhiro Omori, 2016. "Multiple-block Dynamic Equicorrelations with Realized Measures, Leverage and Endogeneity," CIRJE F-Series CIRJE-F-1022, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- Jouchi Nakajima & Tsuyoshi Kunihama & Yasuhiro Omori, 2017. "Bayesian modeling of dynamic extreme values: extension of generalized extreme value distributions with latent stochastic processes," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(7), pages 1248-1268, May.
- 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.
- 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.
- 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.
- 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.
- McAleer, M.J. & Medeiros, M.C., 2009. "Forecasting Realized Volatility with Linear and Nonlinear Models," Econometric Institute Research Papers EI 2009-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Marcelo C. Medeiros, 2009. "Forecasting Realized Volatility with Linear and Nonlinear Models," CIRJE F-Series CIRJE-F-686, CIRJE, Faculty of Economics, University of Tokyo.
- Michael McAleer & Marcelo Cunha Medeiros, 2010. "Forecasting Realized Volatility with Linear and Nonlinear Models," Textos para discussão 568, Department of Economics PUC-Rio (Brazil).
- 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 EstadÃstica.
- 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.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-746, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CIRJE F-Series CIRJE-F-700, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2009. "Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors," CARF F-Series CARF-F-198, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori, 2010. "Efficient Bayesian Estimation of a Multivariate Stochastic Volatility Model with Cross Leverage and Heavy-Tailed Errors," CARF F-Series CARF-F-221, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- 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.
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"Forecasting Realized Volatility A Review,"
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- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011.
"Matrix Exponential Stochastic Volatility with Cross Leverage,"
CIRJE F-Series
CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
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CIRJE F-Series
CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
- 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.
- 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.
- 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.
- 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," CARF F-Series CARF-F-094, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- 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.
- 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.
- 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.
- Asai, M. & McAleer, M.J., 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Econometric Institute Research Papers EI2016-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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).
Articles
- Benjamin Poignard & Manabu Asai, 2023.
"Estimation of high-dimensional vector autoregression via sparse precision matrix,"
The Econometrics Journal, Royal Economic Society, vol. 26(2), pages 307-326.
See citations under working paper version above.
- Benjamin Poignard & Manabu Asai, 2021. "Estimation of High Dimensional Vector Autoregression via Sparse Precision Matrix," Discussion Papers in Economics and Business 21-03, Osaka University, Graduate School of Economics.
- Asai, Manabu, 2023.
"Feasible Panel GARCH Models: Variance-Targeting Estimation and Empirical Application,"
Econometrics and Statistics, Elsevier, vol. 25(C), pages 23-38.
Cited by:
- Mamman, Suleiman O. & Wang, Zhanqin & Iliyasu, Jamilu, 2023. "Commonality in BRICS stock markets’ reaction to global economic policy uncertainty: Evidence from a panel GARCH model with cross sectional dependence," Finance Research Letters, Elsevier, vol. 55(PA).
- 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:
- 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).
- 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:
- 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.
- Manabu Asai & Mike K. P. So, 2021.
"Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 271-294, May.
Cited by:
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Documentos de Trabajo del ICAE 2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Rangan Gupta & Michael McAleer, 2019. "The Impact of jumps and leverage in forecasting the co-volatility of oil and gold futures," Documentos de Trabajo del ICAE 2019-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Mike K. P. So & Raymond W. M. Li & Manabu Asai & Yue Jiang, 2017.
"Stochastic Multivariate Mixture Covariance Model,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 139-155, March.
Cited by:
- Yuta Yamauchi & Yasuhiro Omori, 2018. "Multivariate Stochastic Volatility Model with Realized Volatilities and Pairwise Realized Correlations," Papers 1809.09928, arXiv.org, revised Mar 2019.
- 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.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2017. "Forecasting the Volatility of Nikkei 225 Futures," Tinbergen Institute Discussion Papers 17-017/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Documentos de Trabajo del ICAE 2015-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2015. "The Impact of Jumps and Leverage in Forecasting Co-Volatility," Tinbergen Institute Discussion Papers 15-018/III, Tinbergen Institute.
- 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.
- 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.
- 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.
- Shelton Peiris & Manabu Asai & Michael McAleer, 2016. "Estimating and forecasting generalized fractional Long memory stochastic volatility models," Documentos de Trabajo del ICAE 2016-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
- 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.
- 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.
See citations under working paper version above.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
Cited by:
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017.
"Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory,"
Documentos de Trabajo del ICAE
2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- Manabu Asai & Michael McAleer & Shelton Peiris, 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Tinbergen Institute Discussion Papers 17-105/III, Tinbergen Institute.
- 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.
- Shelton Peiris & Manabu Asai & Michael McAleer, 2016.
"Estimating and forecasting generalized fractional Long memory stochastic volatility models,"
Documentos de Trabajo del ICAE
2016-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
- Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.
- Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.
- 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.
- Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
- Manabu Asai & Shelton Peiris & Michael McAleer, 2017.
"Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory,"
Documentos de Trabajo del ICAE
2017-26, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Tinbergen Institute Discussion Papers 14-037/III, Tinbergen Institute.
- 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.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- Asai, M. & Caporin, M. & McAleer, M.J., 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos de Trabajo del ICAE 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Asai Manabu & So Mike K.P., 2015.
"Long Memory and Asymmetry for Matrix-Exponential Dynamic Correlation Processes,"
Journal of Time Series Econometrics, De Gruyter, vol. 7(1), pages 1-26, January.
Cited by:
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Ilya Archakov & Peter Reinhard Hansen & Asger Lunde, 2020. "A Multivariate Realized GARCH Model," Papers 2012.02708, arXiv.org.
- Ilya Archakov & Peter Reinhard Hansen, 2021.
"A New Parametrization of Correlation Matrices,"
Econometrica, Econometric Society, vol. 89(4), pages 1699-1715, July.
- Ilya Archakov & Peter Reinhard Hansen, 2020. "A New Parametrization of Correlation Matrices," Papers 2012.02395, arXiv.org.
- 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).
- Manabu Asai & Mike K. P. So, 2021. "Quasi‐maximum likelihood estimation of conditional autoregressive Wishart models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(3), pages 271-294, May.
- Aida Karmous & Heni Boubaker & Lotfi Belkacem, 2021. "Forecasting Volatility for an Optimal Portfolio with Stylized Facts Using Copulas," Computational Economics, Springer;Society for Computational Economics, vol. 58(2), pages 461-482, August.
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
Cited by:
- Chakraborty, Sandip & Kakani, Ram Kumar & Sampath, Aravind, 2022. "Portfolio risk and stress across the business cycle," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
- Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2015. "Many a little makes a mickle: Macro portfolio stress test for small and medium-sized German banks," Discussion Papers 23/2015, Deutsche Bundesbank.
- Chia-Lin Chang & David Allen & Michael McAleer, 2013.
"Recent Developments in Financial Economics and Econometrics: An Overview,"
Documentos de Trabajo del ICAE
2013-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & David E Allen & Michael McAleer, 2013. "Recent Developments in Financial Economics and Econometrics:An Overview," KIER Working Papers 842, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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.
- Chia-Lin Chang & David Allen & Michael McAleer, 2013. "Recent Developments in Financial Economics and Econometrics: An Overview," Tinbergen Institute Discussion Papers 13-021/III, Tinbergen Institute.
- Chungen Shen & Yunlong Wang & Wenjuan Xue & Lei-Hong Zhang, 2021. "An accelerated active-set algorithm for a quadratic semidefinite program with general constraints," Computational Optimization and Applications, Springer, vol. 78(1), pages 1-42, January.
- Yu, Philip L.H. & Li, W.K. & Ng, F.C., 2014. "Formulating hypothetical scenarios in correlation stress testing via a Bayesian framework," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 17-33.
- Busch, Ramona & Koziol, Philipp & Mitrovic, Marc, 2018. "Many a little makes a mickle: Stress testing small and medium-sized German banks," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 237-253.
- Abildgren, Kim, 2014. "Far out in the tails – The historical distributions of macro-financial risk factors in Denmark," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2014(1), pages 1-31.
- Paraschiv, Florentina & Mudry, Pierre-Antoine & Andries, Alin Marius, 2015. "Stress-testing for portfolios of commodity futures," Economic Modelling, Elsevier, vol. 50(C), pages 9-18.
- 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.
Cited by:
- 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.
- 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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- Shawkat Hammoudeh & Michael McAleer, 2012. "Risk Management and Financial Derivatives: An Overview," Documentos de Trabajo del ICAE 2012-08, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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- 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.
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"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
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- 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.
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"Risk Management and Financial Derivatives: An Overview,"
Working Papers in Economics
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"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.
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"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
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Tinbergen Institute Discussion Papers
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"Asymmetry and Long Memory in Volatility Modeling,"
Journal of Financial Econometrics, Oxford University Press, vol. 10(3), pages 495-512, June.
See citations under working paper version above.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010. "Asymmetry and Long Memory in Volatility Modelling," KIER Working Papers 726, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Asymmetry and Long Memory in Volatility Modelling," Documentos de Trabajo del ICAE 2011-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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- 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.
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Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 217-230, January.
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- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Modelling and Forecasting Noisy Realized Volatility," Documentos de Trabajo del ICAE 2011-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
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- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.
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- 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.
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Econometrics Journal, Royal Economic Society, vol. 12(2), pages 292-309, July.
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"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
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- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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KIER Working Papers
726, Kyoto University, Institute of Economic Research.
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- 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.
- 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.
- 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.
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Global COE Hi-Stat Discussion Paper Series
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Econometric Institute Research Papers
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- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
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CIRJE F-Series
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- 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.
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Journal of the European Economic Association, European Economic Association, vol. 13(3), pages 512-533, June.
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"Policy uncertainty and aggregate fluctuations,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(3), pages 319-331, April.
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CIRJE F-Series
CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2014. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-938, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2013. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-904, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Mumtaz, Haroon, 2011. "Estimating the impact of the volatility of shocks: a structural VAR approach," Bank of England working papers 437, Bank of England.
- 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).
- McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
- Sujay Mukhoti & Pritam Ranjan, 2019.
"A new class of discrete-time stochastic volatility model with correlated errors,"
Applied Economics, Taylor & Francis Journals, vol. 51(3), pages 259-277, January.
- Sujay Mukhoti & Pritam Ranjan, 2017. "A New Class of Discrete-time Stochastic Volatility Model with Correlated Errors," Papers 1703.06603, arXiv.org.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 EstadÃstica.
- 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.
- 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.
- 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.
- 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.
- 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.
Cited by:
- Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
- Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
- Kai Yang & Qingqing Zhang & Xinyang Yu & Xiaogang Dong, 2023. "Bayesian inference for a mixture double autoregressive model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(2), pages 188-207, May.
- Asai, M. & Caporin, M. & McAleer, M.J., 2012.
"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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.
- 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.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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:
- Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
- Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2024.
"Large Order-Invariant Bayesian VARs with Stochastic Volatility,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 825-837, April.
- Joshua C. C. Chan & Gary Koop & Xuewen Yu, 2021. "Large Order-Invariant Bayesian VARs with Stochastic Volatility," Papers 2111.07225, arXiv.org.
- 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".
- Hafner, Christian & Manner H., 2012.
"Dynamic stochastic copula models: Estimation, inference and applications,"
LIDAM Reprints ISBA
2012022, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Christian M. Hafner & Hans Manner, 2012. "Dynamic stochastic copula models: estimation, inference and applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 269-295, March.
- 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).
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Yu, Jun, 2012.
"A semiparametric stochastic volatility model,"
Journal of Econometrics, Elsevier, vol. 167(2), pages 473-482.
- Jun Yu, 2008. "A Semiparametric Stochastic Volatility Model," Working Papers CoFie-04-2008, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- 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.
- Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate stochastic volatility with co-heteroscedasticity," CAMA Working Papers 2018-52, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua Chan & Arnaud Doucet & Roberto León-González & Rodney W. Strachan, 2018. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," Working Paper series 18-38, Rimini Centre for Economic Analysis.
- CHAN Joshua & DOUCET Arnaud & Roberto Leon-Gonzalez & STRACHAN Rodney W., 2020. "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers 20-09, National Graduate Institute for Policy Studies.
- Xin Jin & John M. Maheu, 2014.
"Bayesian Semiparametric Modeling of Realized Covariance Matrices,"
Working Paper series
34_14, Rimini Centre for Economic Analysis.
- Jin, Xin & Maheu, John M., 2016. "Bayesian semiparametric modeling of realized covariance matrices," Journal of Econometrics, Elsevier, vol. 192(1), pages 19-39.
- Jin, Xin & Maheu, John M, 2014. "Bayesian Semiparametric Modeling of Realized Covariance Matrices," MPRA Paper 60102, University Library of Munich, Germany.
- 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.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2009.
"Dynamic Conditional Correlations for Asymmetric Processes,"
CIRJE F-Series
CIRJE-F-657, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CARF F-Series CARF-F-168, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- 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.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Working Papers in Economics 10/76, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," KIER Working Papers 747, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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.
- Asai, M. & Caporin, M., 2009. "Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2009-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Asai, M. & Caporin, M. & McAleer, M.J., 2012.
"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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.
- Hartwig, Benny, 2020.
"Robust inference intime-varying structural VAR models: The DC-Cholesky multivariate stochasticvolatility model,"
Discussion Papers
34/2020, Deutsche Bundesbank.
- 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.
- 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.
- 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.
- Massimiliano Caporin & Michael McAleer, 2009.
"Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models,"
CIRJE F-Series
CIRJE-F-638, CIRJE, Faculty of Economics, University of Tokyo.
- Massimiliano Caporin & Michael McAleer, 2009. "Do We Really Need Both BEKK and DCC? A Tale of Two Covariance Models," Documentos de Trabajo del ICAE 2009-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- Roberto Casarin & Domenico Sartore, 2007.
"Matrix-State Particle Filter for Wishart Stochastic Volatility Processes,"
Working Papers
2007_30, Department of Economics, University of Venice "Ca' Foscari".
- Roberto Casarin & Domenico sartore, 2008. "Matrix-State Particle Filter for Wishart Stochastic Volatility Processes," Working Papers 0816, University of Brescia, Department of Economics.
- Michael McAleer, 2009.
"The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges,"
CIRJE F-Series
CIRJE-F-652, CIRJE, Faculty of Economics, University of Tokyo.
- Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," Documentos de Trabajo del ICAE 2009-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
- 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.
- Benjamin Poignard & Manabu Asai, 2022.
"High-Dimensional Sparse Multivariate Stochastic Volatility Models,"
Papers
2201.08584, arXiv.org, revised May 2022.
- 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.
- Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
- 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.
- M. Hakan Eratalay, 2016. "Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study," International Econometric Review (IER), Econometric Research Association, vol. 8(2), pages 19-52, September.
- 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.
- Manabu Asai, 2023. "Estimation of Realized Asymmetric Stochastic Volatility Models Using Kalman Filter," Econometrics, MDPI, vol. 11(3), pages 1-14, July.
- Siddhartha Chib & Yasuhiro Omori & Manabu Asai, 2007.
"Multivariate stochastic volatility,"
CIRJE F-Series
CIRJE-F-488, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
- 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.
- 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.
- 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).
- 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.
- Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009.
"Volatility Spillovers Between Crude Oil Futures Returns and Oil Company Stocks Return,"
CIRJE F-Series
CIRJE-F-639, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
- Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2015.
"Cholesky Realized Stochastic Volatility Model,"
CIRJE F-Series
CIRJE-F-979, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Rajibur Reza & Gurudeo Anand Tularam & Xiyang Li & Bin Li, 2022. "Investments in the Asian water sector: an analysis based on the DCC-GARCH model," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.
- 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 EstadÃstica.
- Nam, Kyungsik, 2021. "Investigating the effect of climate uncertainty on global commodity markets," Energy Economics, Elsevier, vol. 96(C).
- 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.
- 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.
- 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.
- 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.
- Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.
- 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.
- 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.
- 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.
Cited by:
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011.
"Modelling and Forecasting Noisy Realized Volatility,"
KIER Working Papers
758, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Modelling and Forecasting Noisy Realized Volatility," Documentos de Trabajo del ICAE 2011-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Asai, M. & McAleer, M.J. & Medeiros, M., 2011. "Modelling and Forecasting Noisy Realized Volatility," Econometric Institute Research Papers EI 2011-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
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"Exploring option pricing and hedging via volatility asymmetry,"
DES - Working Papers. Statistics and Econometrics. WS
28234, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
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"Data cloning estimation for asymmetric stochastic volatility models,"
Econometric Reviews, Taylor & Francis Journals, vol. 39(10), pages 1057-1074, November.
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"Alternative Asymmetric Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2010-69, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CIRJE F-Series CIRJE-F-655, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," KIER Working Papers 739, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2011. "Alternative Asymmetric Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.
- 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.
- Asai, M. & Caporin, M. & McAleer, M.J., 2012.
"Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2012-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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.
- 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.
- Michael McAleer & Manabu Asai & Massimiliano Caporin, 2012. "Forecasting Value-at-Risk Using Block Structure Multivariate Stochastic Volatility Models," KIER Working Papers 812, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2005.
"Asymmetric Multivariate Stochastic Volatility,"
DEA Working Papers
12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- Manabu Asai & Michael McAleer, 2006. "Asymmetric Multivariate Stochastic Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 25(2-3), pages 453-473.
- A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
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"Realized stochastic volatility with general asymmetry and long memory,"
Journal of Econometrics, Elsevier, vol. 199(2), pages 202-212.
- Manabu Asai & Chia-Lin Chang & Michael McAleer, 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Tinbergen Institute Discussion Papers 17-038/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai, 2023. "Estimation of Realized Asymmetric Stochastic Volatility Models Using Kalman Filter," Econometrics, MDPI, vol. 11(3), pages 1-14, July.
- Ahsan, Md. Nazmul & Dufour, Jean-Marie, 2021. "Simple estimators and inference for higher-order stochastic volatility models," Journal of Econometrics, Elsevier, vol. 224(1), pages 181-197.
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"A new class of discrete-time stochastic volatility model with correlated errors,"
Applied Economics, Taylor & Francis Journals, vol. 51(3), pages 259-277, January.
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- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011.
"Modelling and Forecasting Noisy Realized Volatility,"
KIER Working Papers
758, Kyoto University, Institute of Economic Research.
- Asai, Manabu & McAleer, Michael, 2008.
"A Portfolio Index GARCH model,"
International Journal of Forecasting, Elsevier, vol. 24(3), pages 449-461.
Cited by:
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- 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.
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- Michael McAleer, 2009.
"The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges,"
CIRJE F-Series
CIRJE-F-652, CIRJE, Faculty of Economics, University of Tokyo.
- Michael McAleer, 2009. "The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges," Documentos de Trabajo del ICAE 2009-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
- 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.
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- 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:
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"A multiple regime smooth transition Heterogeneous Autoregressive model for long memory and asymmetries,"
Journal of Econometrics, Elsevier, vol. 147(1), pages 104-119, November.
- 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).
- Barrera, Carlos R., 2010. "Redes neuronales para predecir el tipo de cambio diario," Working Papers 2010-001, Banco Central de Reserva del Perú.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2005. "Asymmetric Multivariate Stochastic Volatility," DEA Working Papers 12, Universitat de les Illes Balears, Departament d'Economía Aplicada.
- 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:
- Gianni Amisano & Roberto Casarin, 2008. "Particle Filters for Markov-Switching Stochastic-Correlation Models," Working Papers 0814, University of Brescia, Department of Economics.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011.
"Modelling and Forecasting Noisy Realized Volatility,"
KIER Working Papers
758, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Modelling and Forecasting Noisy Realized Volatility," Documentos de Trabajo del ICAE 2011-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Asai, M. & McAleer, M.J. & Medeiros, M., 2011. "Modelling and Forecasting Noisy Realized Volatility," Econometric Institute Research Papers EI 2011-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- 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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"Econometric estimation in long-range dependent volatility models: Theory and practice,"
Journal of Econometrics, Elsevier, vol. 147(1), pages 72-83, November.
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KIER Working Papers
840, Kyoto University, Institute of Economic Research.
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- Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback E ects on Multifactor Wishart Stochastic Volatility for Option Pricing," Documentos de Trabajo del ICAE 2013-02, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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"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.
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- 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".
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"A Fractionally Integrated Wishart Stochastic Volatility Model,"
Tinbergen Institute Discussion Papers
13-025/III, Tinbergen Institute.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," KIER Working Papers 848, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Documentos de Trabajo del ICAE 2013-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- 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.
- 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.
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"Modeling stock-oil co-dependence with Dynamic Stochastic MIDAS Copula models,"
Energy Economics, Elsevier, vol. 124(C).
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- 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.
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- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2009. "Asymmetry and Leverage in Realized Volatility," CIRJE F-Series CIRJE-F-656, CIRJE, Faculty of Economics, University of Tokyo.
- 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.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2017. "Testing for Volatility Co-movement in Bivariate Stochastic Volatility Models," Tinbergen Institute Discussion Papers 17-022/III, Tinbergen Institute.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2017. "Testing for volatility co-movement in bivariate stochastic volatility models," Documentos de Trabajo del ICAE 2017-10, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Manabu Asai & Michael McAleer, 2014.
"Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance,"
Tinbergen Institute Discussion Papers
14-037/III, Tinbergen Institute.
- 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.
- 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.
- Manabu Asai & Michael McAleer, 2014. "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE 2014-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
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- Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
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- Chiriac, Roxana & Voev, Valeri, 2008.
"Modelling and forecasting multivariate realized volatility,"
CoFE Discussion Papers
08/06, University of Konstanz, Center of Finance and Econometrics (CoFE).
- 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.
- Roxana Chiriac & Valeri Voev, 2008. "Modelling and Forecasting Multivariate Realized Volatility," CREATES Research Papers 2008-39, Department of Economics and Business Economics, Aarhus University.
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"Multivariate High-Frequency-Based Volatility (HEAVY) Models,"
Economics Papers
2011-W01, Economics Group, Nuffield College, University of Oxford.
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- Diaa Noureldin & Neil Shephard & Kevin Sheppard, 2011. "Multivariate High-Frequency-Based Volatility (HEAVY) Models," Economics Series Working Papers 533, University of Oxford, Department of Economics.
- Manabu Asai & Michael McAleer, 2009.
"Dynamic Conditional Correlations for Asymmetric Processes,"
CIRJE F-Series
CIRJE-F-657, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2009. "Dynamic Conditional Correlations for Asymmetric Processes," CARF F-Series CARF-F-168, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- 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.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," Working Papers in Economics 10/76, University of Canterbury, Department of Economics and Finance.
- Manabu Asai & Michael McAleer, 2010. "Dynamic Conditional Correlations for Asymmetric Processes," KIER Working Papers 747, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- 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.
- Massimiliano Caporin & Michael McAleer, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Documentos de Trabajo del ICAE 2012-06, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Apr 2012.
- Caporin, M. & McAleer, M.J., 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," Econometric Institute Research Papers EI2012-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Michael McAleer & Massimiliano Caporin, 2012. "Robust Ranking of Multivariate GARCH Models by Problem Dimension," KIER Working Papers 815, Kyoto University, Institute of Economic Research.
- 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.
- 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.
- Asai, M. & Caporin, M., 2009. "Block Structure Multivariate Stochastic Volatility Models," Econometric Institute Research Papers EI 2009-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jiří Witzany, 2011.
"Estimating Correlated Jumps and Stochastic Volatilities,"
Working Papers IES
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- 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.
- Jinghui Chen & Masahito Kobayashi & Michael McAleer, 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Tinbergen Institute Discussion Papers 16-015/III, Tinbergen Institute.
- Chen, J. & Kobayashi, M. & McAleer, M.J., 2016. "Testing for a Common Volatility Process and Information Spillovers in Bivariate Financial Time Series Models," Econometric Institute Research Papers EI2016-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010.
"Asymmetry and Long Memory in Volatility Modelling,"
KIER Working Papers
726, Kyoto University, Institute of Economic Research.
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LSE Research Online Documents on Economics
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LSE Research Online Documents on Economics
67455, London School of Economics and Political Science, LSE Library.
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Documentos de Trabajo del ICAE
2016-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
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CIRJE F-Series
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"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.
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"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.
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"Asymmetry and Leverage in Realized Volatility,"
CARF F-Series
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"Data cloning estimation for asymmetric stochastic volatility models,"
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"Alternative Asymmetric Stochastic Volatility Models,"
Econometric Institute Research Papers
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- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," KIER Working Papers 739, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2011. "Alternative Asymmetric Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.
- 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.
- Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2010.
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- 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.
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"Asymmetric Multivariate Stochastic Volatility,"
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"The Ten Commandments for Optimizing Value-at-Risk and Daily Capital Charges,"
CIRJE F-Series
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"Estimation of Multivariate Stochastic Volatility Models: A Comparative Monte Carlo Study,"
EUSP Department of Economics Working Paper Series
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"Multivariate stochastic volatility,"
CIRJE F-Series
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- Manabu Asai & Michael McAleer & Jun Yu, 2006. "Multivariate Stochastic Volatility," Microeconomics Working Papers 22058, East Asian Bureau of Economic Research.
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- 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.
- Zea Bermudez, Patrícia de & Marín Díazaraque, Juan Miguel & Rue, Havard & Lopes Moreira Da Veiga, María Helena, 2021. "Integrated nested Laplace approximations for threshold stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS 31804, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
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"Asymmetry and Leverage in Realized Volatility,"
CARF F-Series
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"Alternative Asymmetric Stochastic Volatility Models,"
Econometric Institute Research Papers
EI 2010-69, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Manabu Asai & Michael McAleer, 2009. "Alternative Asymmetric Stochastic Volatility Models," CIRJE F-Series CIRJE-F-655, CIRJE, Faculty of Economics, University of Tokyo.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," KIER Working Papers 739, Kyoto University, Institute of Economic Research.
- Manabu Asai & Michael McAleer, 2011. "Alternative Asymmetric Stochastic Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 30(5), pages 548-564, October.
- Manabu Asai & Michael McAleer, 2010. "Alternative Asymmetric Stochastic Volatility Models," Working Papers in Economics 10/70, University of Canterbury, Department of Economics and Finance.
- 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.
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