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Stan Hurn

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

  1. Christopher F Baum & Jesús Otero & Stan Hurn, 2021. "Testing for time-varying Granger causality," Economics Virtual Symposium 2021 9, Stata Users Group.

    Cited by:

    1. Festus Victor Bekun & Abdulkareem Alhassan & Ilhan Ozturk & Obadiah Jonathan Gimba, 2022. "Explosivity and Time-Varying Granger Causality: Evidence from the Bubble Contagion Effect of COVID-19-Induced Uncertainty on Manufacturing Job Postings in the United States," Mathematics, MDPI, vol. 10(24), pages 1-17, December.
    2. Ramesh Adhikari & Kyle J. Putnam, 2024. "Financial Market Stress and Commodity Returns: A Dynamic Approach," Commodities, MDPI, vol. 3(1), pages 1-23, January.
    3. Elżbieta Szaruga & Elżbieta Załoga, 2022. "Environmental Management from the Point of View of the Energy Intensity of Road Freight Transport and Shocks," IJERPH, MDPI, vol. 19(21), pages 1-22, November.
    4. Galán-Gutiérrez, Juan Antonio & Labeaga, José M. & Martín-García, Rodrigo, 2023. "Cointegration between high base metals prices and backwardation: Getting ready for the metals super-cycle," Resources Policy, Elsevier, vol. 81(C).
    5. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.

  2. Harvey, A. & Hurn, S. & Thiele, S., 2019. "Modeling directional (circular) time series," Cambridge Working Papers in Economics 1971, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Petra Tomanová & Vladimír Holý, 2021. "Clustering of arrivals in queueing systems: autoregressive conditional duration approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(3), pages 859-874, September.
    2. Harvey, A., 2021. "Score-driven time series models," Cambridge Working Papers in Economics 2133, Faculty of Economics, University of Cambridge.
    3. Harvey, A. & Palumbo, D., 2021. "Regime switching models for directional and linear observations," Cambridge Working Papers in Economics 2123, Faculty of Economics, University of Cambridge.

  3. Stan Hurn & Nicholas Johnson & Annastiina Silvennoinen & Timo Teräsvirta, 2018. "Transition from the Taylor rule to the zero lower bound," CREATES Research Papers 2018-31, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Vito Polito, 2020. "Nonlinear Business Cycle and Optimal Policy: A VSTAR Perspective," CESifo Working Paper Series 8060, CESifo.

  4. Shuping Shi & Stan Hurn & Peter C B Phillips, 2016. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money-Income Relationship," NCER Working Paper Series 113, National Centre for Econometric Research.

    Cited by:

    1. Muhammad Shahbaz & Mehmet Balcilar & Mantu Kumar Mahalik & Seyi Saint Akadiri, 2023. "Is causality between globalization and energy consumption bidirectional or unidirectional in top and bottom globalized economies?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1939-1964, April.
    2. Mardi Dungey & Stan Hurn & Shuping Shi & Vladimir Volkov, 2019. "Information Flow in Times of Crisis: The Case of the European Banking and Sovereign Sectors," Econometrics, MDPI, vol. 7(1), pages 1-20, January.
    3. Mishra, Aswini Kumar & Ghate, Kshitish & Renganathan, Jayashree & Kennet, Joushita J. & Rajderkar, Nilay Pradeep, 2022. "Rolling, recursive evolving and asymmetric causality between crude oil and gold prices: Evidence from an emerging market," Resources Policy, Elsevier, vol. 75(C).
    4. Clements, Adam & Hurn, Stan & Shi, Shuping, 2017. "An empirical investigation of herding in the U.S. stock market," Economic Modelling, Elsevier, vol. 67(C), pages 184-192.
    5. Syed Jawad Hussain Shahzad & Elie Bouri & Naveed Raza & David Roubaud, 2019. "Asymmetric impacts of disaggregated oil price shocks on uncertainties and investor sentiment," Review of Quantitative Finance and Accounting, Springer, vol. 52(3), pages 901-921, April.
    6. Basse, Tobias & Klein, Tony & Vigne, Samuel A. & Wegener, Christoph, 2021. "U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?," Journal of Corporate Finance, Elsevier, vol. 67(C).
    7. Jiranyakul, Komain, 2020. "Government Expenditures and Economic Growth: A Cointegration Analysis for Thailand under the Floating Exchange Rate Regime," MPRA Paper 109054, University Library of Munich, Germany.
    8. Akan, Taner, 2023. "Can renewable energy mitigate the impacts of inflation and policy interest on climate change?," Renewable Energy, Elsevier, vol. 214(C), pages 255-289.
    9. Jiranyakul, Komain, 2020. "Government Expenditures and Economic Growth: A Cointegration Analysis for Thailand under the Floating Exchange Rate Regime," MPRA Paper 109585, University Library of Munich, Germany.
    10. Hoang, Thi Hong Van & Shahzad, Syed Jawad Hussain & Czudaj, Robert L., 2020. "Renewable energy consumption and industrial production: A disaggregated time-frequency analysis for the U.S," Energy Economics, Elsevier, vol. 85(C).
    11. Jiranyakul, Komain, 2020. "Government Expenditures and Economic Growth: A Cointegration Analysis for Thailand under the Floating Exchange Rate Regime," MPRA Paper 100284, University Library of Munich, Germany.

  5. Stan Hurn & Peter C B Phillips & Shuping Shi, 2015. "Change Detection and the Casual Impact of the Yield Curve," NCER Working Paper Series 107, National Centre for Econometric Research.

    Cited by:

    1. Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020. "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers 667, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Jose Eduardo Gomez-Gonzalez & Jorge Hirs-Garzon, 2017. "Uncovering the time-varying nature of causality between oil prices and stock market returns: A multi-country study," Borradores de Economia 1009, Banco de la Republica de Colombia.
    3. Edmond Berisha & David Gabauer & Rangan Gupta & Chi Keung Marco Lau, 2020. "Time-Varying Influence of Household Debt on Inequality in United Kingdom," Working Papers 202017, University of Pretoria, Department of Economics.
    4. Liu, Guangqiang & Zeng, Qing & Lei, Juan, 2022. "Dynamic risks from climate policy uncertainty: A case study for the natural gas market," Resources Policy, Elsevier, vol. 79(C).
    5. Yang Hu & Les Oxley & Chunlin Lang, 2019. "Can Economic Policy Uncertainty, Volume, Transaction Activity and Twitter Predict Bitcoin? Evidence from Time-Varying Granger Causality Tests," Working Papers in Economics 19/12, University of Waikato.
    6. Dogan, Eyup & Majeed, Muhammad Tariq & Luni, Tania, 2022. "Analyzing the nexus of COVID-19 and natural resources and commodities: Evidence from time-varying causality," Resources Policy, Elsevier, vol. 77(C).
    7. Aharon, David Y. & Azman Aziz, Mukhriz Izraf & Kallir, Ido, 2023. "Oil price shocks and inflation: A cross-national examination in the ASEAN5+3 countries," Resources Policy, Elsevier, vol. 82(C).
    8. Kartal, Mustafa Tevfik & Ghosh, Sudeshna & Adebayo, Tomiwa Sunday, 2023. "Renewable energy effect on economy and environment: The case of G7 countries through novel bootstrap rolling window approach," Renewable Energy, Elsevier, vol. 216(C).
    9. Wang, Kai-Hua & Zhao, Yan-Xin & Jiang, Cui-Feng & Li, Zheng-Zheng, 2022. "Does green finance inspire sustainable development? Evidence from a global perspective," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 412-426.
    10. Maghyereh, Aktham & Awartani, Basel & Virk, Nader S., 2022. "Asymmetric risk transmissions between oil, gold and US equities: Recent evidence from the realized variance of the futures prices," Resources Policy, Elsevier, vol. 79(C).
    11. Czudaj, Robert L., 2019. "Dynamics between trading volume, volatility and open interest in agricultural futures markets: A Bayesian time-varying coefficient approach," Econometrics and Statistics, Elsevier, vol. 12(C), pages 78-145.
    12. Azilawati Banchit & Sazali Abidin & Sophyafadeth Lim & Fareiny Morni, 2020. "Investor Sentiment, Portfolio Returns, and Macroeconomic Variables," JRFM, MDPI, vol. 13(11), pages 1-14, October.
    13. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    14. Adeosun, Opeoluwa Adeniyi & Tabash, Mosab I. & Anagreh, Suhaib, 2022. "Oil price and economic performance: Additional evidence from advanced economies," Resources Policy, Elsevier, vol. 77(C).
    15. Gharib, Cheima & Mefteh-Wali, Salma & Jabeur, Sami Ben, 2021. "The bubble contagion effect of COVID-19 outbreak: Evidence from crude oil and gold markets," Finance Research Letters, Elsevier, vol. 38(C).
    16. Madaleno, Mara & Dogan, Eyup & Taskin, Dilvin, 2022. "A step forward on sustainability: The nexus of environmental responsibility, green technology, clean energy and green finance," Energy Economics, Elsevier, vol. 109(C).
    17. Mustafa Kocoglu & Phouphet Kyophilavong & Ashar Awan & So Young Lim, 2023. "Time-varying causality between oil price and exchange rate in five ASEAN economies," Economic Change and Restructuring, Springer, vol. 56(2), pages 1007-1031, April.
    18. Celso-Arellano, Pedro & Gualajara, Victor & Coronado, Semei & Martinez, Jose N. & Venegas-Martínez, Francisco, 2023. "Impact of the global fear index (covid-19 panic) on the S&P global indices associated with natural resources, agribusiness, energy, metals and mining: Granger Causality and Shannon and Rényi Transfer ," MPRA Paper 117138, University Library of Munich, Germany, revised 06 Feb 2023.
    19. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    20. Hicham Ayad & Ousama Ben-Salha & Miloud Ouafi, 2023. "Do oil prices predict the exchange rate in Algeria? Time, frequency, and time‐varying Granger causality analysis," Economic Change and Restructuring, Springer, vol. 56(5), pages 3545-3566, October.
    21. Joseph G. Haubrich, 2020. "Does the Yield Curve Predict Output?," Working Papers 20-34, Federal Reserve Bank of Cleveland.
    22. Ren, Xiaohang & Li, Jingyao & He, Feng & Lucey, Brian, 2023. "Impact of climate policy uncertainty on traditional energy and green markets: Evidence from time-varying granger tests," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    23. Chao Liang & Yanran Hong & Luu Duc Toan Huynh & Feng Ma, 2023. "Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world," Review of Quantitative Finance and Accounting, Springer, vol. 60(4), pages 1543-1567, May.
    24. Jose Eduardo Gomez-Gonzalez & Jorge Hirs-Garzon & Sebastian Sanin-Restrepo, 2018. "Dynamic relations between oil and stock markets: Volatility spillovers, networks and causality," Borradores de Economia 1051, Banco de la Republica de Colombia.
    25. Munir Khamis & Dalal Aassouli, 2023. "The Eligibility of Green Bonds as Safe Haven Assets: A Systematic Review," Sustainability, MDPI, vol. 15(8), pages 1-27, April.
    26. Mehmet Balcilar & Gizem Uzuner & Festus Victor Bekun & Mark E. Wohar, 2023. "Housing price uncertainty and housing prices in the UK in a time-varying environment," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(2), pages 523-549, May.
    27. Seyi Saint Akadiri & Andrew Adewale Alola & Ahdi Noomen Ajmi, 2022. "Trilemma of pandemic-related health emergency, economic policy uncertainty and partisan conflict in the United States: A time-varying analysis evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(4), pages 771-784, October.
    28. Mardi Dungey & Stan Hurn & Shuping Shi & Vladimir Volkov, 2019. "Information Flow in Times of Crisis: The Case of the European Banking and Sovereign Sectors," Econometrics, MDPI, vol. 7(1), pages 1-20, January.
    29. Agudze, Komla & Ibhagui, Oyakhilome, 2020. "Oil Price Dynamics and Currency-Hedging Behavior," MPRA Paper 100949, University Library of Munich, Germany.
    30. Abakah, Emmanuel Joel Aikins & Tiwari, Aviral Kumar & Adekoya, Oluwasegun B. & Oteng-Abayie, Eric Fosu, 2023. "An analysis of the time-varying causality and dynamic correlation between green bonds and US gas prices," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    31. Helena Chuliá & Christoph Koser & Jorge M. Uribe, 2019. "“Uncovering the time-varying relationship between commonality in liquidity and volatility”," IREA Working Papers 201916, University of Barcelona, Research Institute of Applied Economics, revised Sep 2019.
    32. Ramesh Adhikari & Kyle J. Putnam, 2024. "Financial Market Stress and Commodity Returns: A Dynamic Approach," Commodities, MDPI, vol. 3(1), pages 1-23, January.
    33. Liu, Rongyan & He, Lingyun & Xia, Yufei & Fu, Yating & Chen, Ling, 2023. "Research on the time-varying effects among green finance markets in China: A fresh evidence from multi-frequency scale perspective," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    34. Mishra, Aswini Kumar & Ghate, Kshitish & Renganathan, Jayashree & Kennet, Joushita J. & Rajderkar, Nilay Pradeep, 2022. "Rolling, recursive evolving and asymmetric causality between crude oil and gold prices: Evidence from an emerging market," Resources Policy, Elsevier, vol. 75(C).
    35. Esra Kabaklarlı, 2022. "Green FinTech: sustainability of Bitcoin," Digital Finance, Springer, vol. 4(4), pages 265-273, December.
    36. Samuel Asumadu Sarkodie & Ahdi Noomen Ajmi & Festus Fatai Adedoyin & Phebe Asantewaa Owusu, 2021. "Econometrics of Anthropogenic Emissions, Green Energy-Based Innovations, and Energy Intensity across OECD Countries," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    37. Pham, Linh & Do, Hung Xuan, 2022. "Green bonds and implied volatilities: Dynamic causality, spillovers, and implications for portfolio management," Energy Economics, Elsevier, vol. 112(C).
    38. David Gabauer & Rangan Gupta & Jacobus Nel & Woraphon Yamaka, 2021. "Time-Varying Predictability of Labor Productivity on Inequality in United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 155(3), pages 771-788, June.
    39. Maghyereh, Aktham & Abdoh, Hussein & Awartani, Basel, 2022. "Have returns and volatilities for financial assets responded to implied volatility during the COVID-19 pandemic?," Journal of Commodity Markets, Elsevier, vol. 26(C).
    40. Mustafa Cakir & Ahmet Ekrem Kaya, 2023. "Does Exchange Rate Pass-Through Change Over Time in Turkiye?," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-1), pages 359-383, June.
    41. Emirmahmutoglu, Furkan & Denaux, Zulal & Topcu, Mert, 2021. "Time-varying causality between renewable and non-renewable energy consumption and real output: Sectoral evidence from the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    42. Mehmet Balcilar & Edmond Berisha & Oguzhan Cepni & Rangan Gupta, 2019. "The Predictive Power of the Term Spread on Inequality in the United Kingdom: An Empirical Analysis," Working Papers 201981, University of Pretoria, Department of Economics.
    43. Sibande, Xolani & Demirer, Riza & Balcilar, Mehmet & Gupta, Rangan, 2023. "On the pricing effects of bitcoin mining in the fossil fuel market: The case of coal," Resources Policy, Elsevier, vol. 85(PB).
    44. Aharon, David Y. & Demir, Ender & Lau, Chi Keung Marco & Zaremba, Adam, 2022. "Twitter-Based uncertainty and cryptocurrency returns," Research in International Business and Finance, Elsevier, vol. 59(C).
    45. 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).
    46. Wu, Wanshan & Tiwari, Aviral Kumar & Gozgor, Giray & Leping, Huang, 2021. "Does economic policy uncertainty affect cryptocurrency markets? Evidence from Twitter-based uncertainty measures," Research in International Business and Finance, Elsevier, vol. 58(C).
    47. Oguzhan Cepni & David Gabauer & Rangan Gupta & Khuliso Ramabulana, 2020. "Time-Varying Spillover of US Trade War on the Growth of Emerging Economies," Working Papers 202002, University of Pretoria, Department of Economics.
    48. Clements, Adam & Hurn, Stan & Shi, Shuping, 2017. "An empirical investigation of herding in the U.S. stock market," Economic Modelling, Elsevier, vol. 67(C), pages 184-192.
    49. Semei Coronado & Rangan Gupta & Saban Nazlioglu & Omar Rojas, 2020. "Time-Varying Causality between Bond and Oil Markets of the United States: Evidence from Over One and Half Centuries of Data," Working Papers 202006, University of Pretoria, Department of Economics.
    50. Umer Shahzad & Muhammad Ramzan & Muhammad Ibrahim Shah & Buhari DoÄŸan & Ahdi Noomen Ajmi, 2022. "Analyzing the Nexus Between Geopolitical Risk, Policy Uncertainty, and Tourist Arrivals: Evidence From the United States," Evaluation Review, , vol. 46(3), pages 266-295, June.
    51. Razzaq, Asif & Sharif, Arshian & An, Hui & Aloui, Chaker, 2022. "Testing the directional predictability between carbon trading and sectoral stocks in China: New insights using cross-quantilogram and rolling window causality approaches," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    52. Md. Samsul Alam & Sajid Ali & Naceur Khraief & Syed Jawad Hussain Shahzad, 2021. "Time‐varying causal nexuses between economic growth and CO2 emissions in G‐7 countries: A bootstrap rolling window approach over 1820–2015," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 6128-6148, October.
    53. Albulescu, Claudiu Tiberiu & Ajmi, Ahdi Noomen, 2021. "Oil price and US dollar exchange rate: Change detection of bi-directional causal impact," Energy Economics, Elsevier, vol. 100(C).
    54. Shahzad, Farrukh & Bouri, Elie & Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Energy, agriculture, and precious metals: Evidence from time-varying Granger causal relationships for both return and volatility," Resources Policy, Elsevier, vol. 74(C).
    55. Çiğdem Yılmaz Özsoy, 2023. "Investigating the Relationship Between Financial Development and Income Inequality in Developed and Developing Countries: An Application of Canonical Correlation Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 35-52, June.
    56. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Bonsu, Christiana Osei & Karikari, Nana Kwasi & Hammoudeh, Shawkat, 2022. "The effects of public sentiments and feelings on stock market behavior: Evidence from Australia," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 443-472.
    57. Harrison, Andre & Liu, Xiaochun & Stewart, Shamar L., 2023. "Structural sources of oil market volatility and correlation dynamics," Energy Economics, Elsevier, vol. 121(C).
    58. Mehmet Ulug & Sayım Işık & Mehmet Mert, 2023. "The effectiveness of ultra-loose monetary policy in a high inflation economy: a time-varying causality analysis for Turkey," Economic Change and Restructuring, Springer, vol. 56(4), pages 2855-2887, August.
    59. Xunfa Lu & Zhitao Ye & Kin Keung Lai & Hairong Cui & Xiao Lin, 2022. "Time-Varying Causalities in Prices and Volatilities between the Cross-Listed Stocks in Chinese Mainland and Hong Kong Stock Markets," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    60. Bordo, Michael D. & Haubrich, Joseph G., 2022. "Some international evidence on the causal impact of the yield curve," Finance Research Letters, Elsevier, vol. 45(C).
    61. Hong, Yanran & Wang, Lu & Ye, Xiaoqing & Zhang, Yaojie, 2022. "Dynamic asymmetric impact of equity market uncertainty on energy markets: A time-varying causality analysis," Renewable Energy, Elsevier, vol. 196(C), pages 535-546.
    62. Semih Emre Cekin & Besma Hkiri & Aviral Kumar Tiwari & Rangan Gupta, 2019. "The Relationship between Monetary Policy and Uncertainty in Advanced Economies: Evidence from Time- and Frequency-Domains," Working Papers 201904, University of Pretoria, Department of Economics.
    63. Yang Hu & Yang (Greg) Hou & Les Oxley, 2019. "Spot and Futures Prices of Bitcoin: Causality, Cointegration and Price Discovery from a Time-Varying Perspective," Working Papers in Economics 19/13, University of Waikato.
    64. Gulcin Kendirkiran & Furkan Emirmahmutoglu, 2022. "Does Change over Time the Causal Relationship between Economic Growth and Foreign Trade in Turkey?," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(36), pages 43-62, June.
    65. Taskin, Dilvin & Dogan, Eyup & Madaleno, Mara, 2022. "Analyzing the relationship between energy efficiency and environmental and financial variables: A way towards sustainable development," Energy, Elsevier, vol. 252(C).
    66. Aktham Maghyereh & Hussein Abdoh, 2022. "Bubble contagion effect between the main precious metals," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 40(1), pages 43-63, March.
    67. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.
    68. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    69. Hammoudeh, Shawkat & Ajmi, Ahdi Noomen & Mokni, Khaled, 2020. "Relationship between green bonds and financial and environmental variables: A novel time-varying causality," Energy Economics, Elsevier, vol. 92(C).
    70. Hoang, Thi Hong Van & Shahzad, Syed Jawad Hussain & Czudaj, Robert L., 2020. "Renewable energy consumption and industrial production: A disaggregated time-frequency analysis for the U.S," Energy Economics, Elsevier, vol. 85(C).
    71. Julián Andrada-Félix & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2022. "Time connectedness of fear," Empirical Economics, Springer, vol. 62(3), pages 905-931, March.
      • Julián Andrada-Félixa & Adrian Fernandez-Perez & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2018. "“Time connectedness of fear”," IREA Working Papers 201818, University of Barcelona, Research Institute of Applied Economics, revised Sep 2018.
    72. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).
    73. Fromentin, Vincent, 2022. "Time-varying causality between stock prices and macroeconomic fundamentals: Connection or disconnection?," Finance Research Letters, Elsevier, vol. 49(C).
    74. Raggad, Bechir, 2021. "Time varying causal relationship between renewable energy consumption, oil prices and economic activity: New evidence from the United States," Resources Policy, Elsevier, vol. 74(C).
    75. Metawa, Noura & Dogan, Eyup & Taskin, Dilvin, 2022. "Analyzing the nexus of green economy, clean and financial technology," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 385-396.
    76. Yingying Xu & Zhixin Liu & Jingjing Chen & Sultan Salem, 2024. "How official TV news affect public inflation expectations? Evidence from the Chinese national broadcaster China Central Television," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 819-831, January.
    77. Jose Eduardo Gomez-Gonzalez & Jorge Hirs-Garzon & Jorge M. Uribe, 2017. "Dynamic Connectedness and Causality between Oil prices and Exchange Rates," Borradores de Economia 1025, Banco de la Republica de Colombia.
    78. Roberto Esposti, 2022. "Who Moves First? Commodity Price Interdependence Through Time-Varying Granger Causality," Working Papers 471, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

  6. Adam Clements & Stan Hurn & Zili Li, 2014. "Forecasting day-ahead electricity load using a multiple equation time series approach," NCER Working Paper Series 103, National Centre for Econometric Research, revised 06 May 2015.

    Cited by:

    1. Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    2. Alexios Lekidis & Elpiniki I. Papageorgiou, 2023. "Edge-Based Short-Term Energy Demand Prediction," Energies, MDPI, vol. 16(14), pages 1-20, July.
    3. Stella Moisan & Rodrigo Herrera & Adam Clements, 2017. "A Dynamic Multiple Equation Approach for Forecasting PM2.5 Pollution in Santiago, Chile," NCER Working Paper Series 117, National Centre for Econometric Research.
    4. Dittmer, Celina & Krümpel, Johannes & Lemmer, Andreas, 2021. "Power demand forecasting for demand-driven energy production with biogas plants," Renewable Energy, Elsevier, vol. 163(C), pages 1871-1877.
    5. Akbal, Yıldırım & Ünlü, Kamil Demirberk, 2022. "A univariate time series methodology based on sequence-to-sequence learning for short to midterm wind power production," Renewable Energy, Elsevier, vol. 200(C), pages 832-844.
    6. Li, Z. & Hurn, A.S. & Clements, A.E., 2017. "Forecasting quantiles of day-ahead electricity load," Energy Economics, Elsevier, vol. 67(C), pages 60-71.
    7. Sébastien Bissey & Sébastien Jacques & Jean-Charles Le Bunetel, 2017. "The Fuzzy Logic Method to Efficiently Optimize Electricity Consumption in Individual Housing," Energies, MDPI, vol. 10(11), pages 1-24, October.
    8. Lu, Hongfang & Cheng, Feifei & Ma, Xin & Hu, Gang, 2020. "Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower," Energy, Elsevier, vol. 203(C).
    9. Smith, Michael Stanley & Shively, Thomas S., 2018. "Econometric modeling of regional electricity spot prices in the Australian market," Energy Economics, Elsevier, vol. 74(C), pages 886-903.
    10. Ghimire, Sujan & Nguyen-Huy, Thong & AL-Musaylh, Mohanad S. & Deo, Ravinesh C. & Casillas-Pérez, David & Salcedo-Sanz, Sancho, 2023. "A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction," Energy, Elsevier, vol. 275(C).
    11. Bessec, Marie & Fouquau, Julien, 2018. "Short-run electricity load forecasting with combinations of stationary wavelet transforms," European Journal of Operational Research, Elsevier, vol. 264(1), pages 149-164.
    12. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    13. Kamal Chapagain & Somsak Kittipiyakul & Pisut Kulthanavit, 2020. "Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand," Energies, MDPI, vol. 13(10), pages 1-29, May.
    14. Tulin Guzel & Hakan Cinar & Mehmet Nabi Cenet & Kamil Doruk Oguz & Ahmet Yucekaya & Mustafa Hekimoglu, 2023. "A Framework to Forecast Electricity Consumption of Meters using Automated Ranking and Data Preprocessing," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 179-193, September.
    15. Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2016. "Energy Internet: The business perspective," Applied Energy, Elsevier, vol. 178(C), pages 212-222.
    16. Ding, Jia & Wang, Maolin & Ping, Zuowei & Fu, Dongfei & Vassiliadis, Vassilios S., 2020. "An integrated method based on relevance vector machine for short-term load forecasting," European Journal of Operational Research, Elsevier, vol. 287(2), pages 497-510.
    17. Yuri S. Popkov & Alexey Yu. Popkov & Yuri A. Dubnov & Dimitri Solomatine, 2020. "Entropy-Randomized Forecasting of Stochastic Dynamic Regression Models," Mathematics, MDPI, vol. 8(7), pages 1-20, July.
    18. Ismail Shah & Hasnain Iftikhar & Sajid Ali & Depeng Wang, 2019. "Short-Term Electricity Demand Forecasting Using Components Estimation Technique," Energies, MDPI, vol. 12(13), pages 1-17, July.
    19. Kamal Chapagain & Somsak Kittipiyakul, 2018. "Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables," Energies, MDPI, vol. 11(4), pages 1-34, April.
    20. Jasiński, Tomasz, 2022. "A new approach to modeling cycles with summer and winter demand peaks as input variables for deep neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    21. Nystrup, Peter & Lindström, Erik & Møller, Jan K. & Madsen, Henrik, 2021. "Dimensionality reduction in forecasting with temporal hierarchies," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1127-1146.
    22. Clements, Adam & Hurn, Stan & Volkov, Vladimir, 2021. "A simple linear alternative to multiplicative error models with an application to trading volume," Working Papers 2021-06, University of Tasmania, Tasmanian School of Business and Economics.
    23. Koch, Christopher & Hirth, Lion, 2019. "Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    24. Bean, Richard & Pojani, Dorina & Corcoran, Jonathan, 2021. "How does weather affect bikeshare use? A comparative analysis of forty cities across climate zones," Journal of Transport Geography, Elsevier, vol. 95(C).
    25. Rafał Czapaj & Jacek Kamiński & Maciej Sołtysik, 2022. "A Review of Auto-Regressive Methods Applications to Short-Term Demand Forecasting in Power Systems," Energies, MDPI, vol. 15(18), pages 1-31, September.
    26. Yukseltan, Ergun & Yucekaya, Ahmet & Bilge, Ayse Humeyra, 2017. "Forecasting electricity demand for Turkey: Modeling periodic variations and demand segregation," Applied Energy, Elsevier, vol. 193(C), pages 287-296.
    27. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    28. Lozinskaia, Agata & Redkina, Anastasiia & Shenkman, Evgeniia, 2020. "Electricity consumption forecasting for integrated power system with seasonal patterns," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 5-25.
    29. Jin-peng Liu & Chang-ling Li, 2017. "The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    30. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    31. Dong-Jin Bae & Bo-Sung Kwon & Kyung-Bin Song, 2021. "XGBoost-Based Day-Ahead Load Forecasting Algorithm Considering Behind-the-Meter Solar PV Generation," Energies, MDPI, vol. 15(1), pages 1-16, December.
    32. Xiao, Jin & Li, Yuxi & Xie, Ling & Liu, Dunhu & Huang, Jing, 2018. "A hybrid model based on selective ensemble for energy consumption forecasting in China," Energy, Elsevier, vol. 159(C), pages 534-546.
    33. Velasquez, Carlos E. & Zocatelli, Matheus & Estanislau, Fidellis B.G.L. & Castro, Victor F., 2022. "Analysis of time series models for Brazilian electricity demand forecasting," Energy, Elsevier, vol. 247(C).
    34. Ali K k & Erg n Y kseltan & Mustafa Hekimo lu & Esra Agca Aktunc & Ahmet Y cekaya & Ay e Bilge, 2022. "Forecasting Hourly Electricity Demand Under COVID-19 Restrictions," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 73-85.
    35. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.

  7. A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Murat Midilic, 2016. "Estimation Of Star-Garch Models With Iteratively Weighted Least Squares," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/918, Ghent University, Faculty of Economics and Business Administration.
    2. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    3. Andrés González & Timo Teräsvirta & Dick van Dijk & Yukai Yang, 2017. "Panel Smooth Transition Regression Models," CREATES Research Papers 2017-36, Department of Economics and Business Economics, Aarhus University.
    4. Campos-Martins, Susana & Amado, Cristina, 2022. "Financial market linkages and the sovereign debt crisis," Journal of International Money and Finance, Elsevier, vol. 123(C).
    5. Apergis, Nicholas & Polemis, Michael, 2018. "Electricity supply shocks and economic growth across the US states: evidence from a time-varying Bayesian panel VAR model, aggregate and disaggregate energy sources," MPRA Paper 84954, University Library of Munich, Germany.
    6. Mardi Dungey & Ali Ghahremanlou & Ngo Van Long, 2017. "Strategic Bidding of Electric Power Generating Companies: Evidence from the Australian National Energy Market," CESifo Working Paper Series 6819, CESifo.
    7. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.
    8. Grossi, Luigi & Heim, Sven & Waterson, Michael, 2017. "The impact of the German response to the Fukushima earthquake," Energy Economics, Elsevier, vol. 66(C), pages 450-465.
    9. Wei Wei & Asger Lunde, 2023. "Identifying Risk Factors and Their Premia: A Study on Electricity Prices," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1647-1679.
    10. Susana Martins & Cristina Amado, 2018. "Financial Market Contagion and the Sovereign Debt Crisis: A Smooth Transition Approach," NIPE Working Papers 08/2018, NIPE - Universidade do Minho.
    11. Wei Wei & Asger Lunde, 2020. "Identifying Risk Factors and Their Premia: A Study on Electricity Prices," Monash Econometrics and Business Statistics Working Papers 10/20, Monash University, Department of Econometrics and Business Statistics.
    12. Mwampashi, Muthe Mathias & Nikitopoulos, Christina Sklibosios & Rai, Alan & Konstandatos, Otto, 2022. "Large-scale and rooftop solar generation in the NEM: A tale of two renewables strategies," Energy Economics, Elsevier, vol. 115(C).
    13. Urbina, Jilber, 2016. "Crecimiento del crédito en Nicaragua, ¿Crecimiento natural o boom crediticio? [Credit growth in Nicaragua: Natural growth or credit boom?]," MPRA Paper 75577, University Library of Munich, Germany, revised Nov 2016.

  8. Adam E Clements & Mark Doolan & Stan Hurn & Ralf Becker, 2012. "Selecting forecasting models for portfolio allocation," NCER Working Paper Series 85, National Centre for Econometric Research.

    Cited by:

    1. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2013. "On the Benefits of Equicorrelation for Portfolio Allocation," NCER Working Paper Series 99, National Centre for Econometric Research.

  9. Stephen Hogg & Stan Hurn & Stuart McDonald & Alicia Rambaldi, 2012. "A Spatial Econometric Analysis of the Effect of Vertical Restraints and Branding on Retail Gasoline Pricing," NCER Working Paper Series 86, National Centre for Econometric Research.

    Cited by:

    1. Bergantino, Angela S. & Capozza, Claudia & Intini, Mario, 2020. "Empirical investigation of retail fuel pricing: The impact of spatial interaction, competition and territorial factors," Energy Economics, Elsevier, vol. 90(C).
    2. Alderighi, Marco & Baudino, Marco, 2015. "The pricing behavior of Italian gas stations: Some evidence from the Cuneo retail fuel market," Energy Economics, Elsevier, vol. 50(C), pages 33-46.

  10. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2010. "Asymmetric unemployment rate dynamics in Australia," CREATES Research Papers 2010-02, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. David Hendry & Felix Pretis, 2011. "Anthropogenic Influences on Atmospheric CO2," Economics Series Working Papers 584, University of Oxford, Department of Economics.
    2. Kitov, Ivan & Kitov, Oleg, 2011. "The Australian Phillips curve and more," MPRA Paper 28762, University Library of Munich, Germany.
    3. Jennifer Castle & David Hendry & Oleg Kitov, 2013. "Forecasting and Nowcasting Macroeconomic Variables: A Methodological Overview," Economics Series Working Papers 674, University of Oxford, Department of Economics.
    4. Rocha, Jordano Vieira & Pereira, Pedro L. Valls, 2015. "Forecast comparison with nonlinear methods for Brazilian industrial production," Textos para discussão 397, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).

  11. Stan Hurn & Andrew McClelland & Kenneth Lindsay, 2010. "A quasi-maximum likelihood method for estimating the parameters of multivariate diffusions," NCER Working Paper Series 65, National Centre for Econometric Research.

    Cited by:

    1. Otero, Karina V., 2016. "Intensity of default in sovereign bonds: Estimation of an unobservable process," MPRA Paper 86782, University Library of Munich, Germany.
    2. Matyas Barczy & Gyula Pap, 2013. "Asymptotic properties of maximum likelihood estimators for Heston models based on continuous time observations," Papers 1310.4783, arXiv.org, revised Jun 2015.
    3. A. S. Hurn & K. A. Lindsay & A. J. McClelland, 2015. "Estimating the Parameters of Stochastic Volatility Models Using Option Price Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 579-594, October.
    4. Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.
    5. Matyas Barczy & Gyula Pap & Tamas T. Szabo, 2014. "Parameter estimation for the subcritical Heston model based on discrete time observations," Papers 1403.0527, arXiv.org, revised Feb 2016.
    6. Matyas Barczy & Balazs Nyul & Gyula Pap, 2015. "Least squares estimation for the subcritical Heston model based on continuous time observations," Papers 1511.05948, arXiv.org, revised Aug 2018.
    7. esposito, francesco paolo & cummins, mark, 2015. "Filtering and likelihood estimation of latent factor jump-diffusions with an application to stochastic volatility models," MPRA Paper 64987, University Library of Munich, Germany.

  12. Tim M Christensen & Stan Hurn & Adrian Pagan, 2009. "Detecting Common Dynamics in Transitory Components," NCER Working Paper Series 49, National Centre for Econometric Research.

    Cited by:

    1. Gianluca Cubadda & Alain Hecq, 2021. "Reduced Rank Regression Models in Economics and Finance," CEIS Research Paper 525, Tor Vergata University, CEIS, revised 08 Nov 2021.
    2. X. Liu & A.R. Pagan & T. Robinson, 2018. "Critically assessing estimated DSGE models: A case study of a multi-sector model," CAMA Working Papers 2018-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Hecq, A.W. & Issler, J.V., 2012. "A common-feature approach for testing present-value restrictions with financial data," Research Memorandum 006, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).

  13. Vlad Pavlov & Stan Hurn, 2009. "Testing the Profitability of Technical Analysis as a Portfolio Selection Strategy," NCER Working Paper Series 52, National Centre for Econometric Research.

    Cited by:

    1. Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.
    2. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    3. Panha Heng & Scott J. Niblock, 2014. "Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 679-692, December.

  14. Adam Clements & Mark Doolan & Stan Hurn & Ralf Becker, 2009. "Evaluating multivariate volatility forecasts," NCER Working Paper Series 41, National Centre for Econometric Research, revised 25 Nov 2009.

    Cited by:

    1. 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.
    2. BAUWENS, Luc & otranto, EDOARDO, 2013. "Modeling the dependence of conditional correlations on volatility," LIDAM Discussion Papers CORE 2013014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Varneskov, Rasmus & Voev, Valeri, 2013. "The role of realized ex-post covariance measures and dynamic model choice on the quality of covariance forecasts," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 83-95.
    4. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2013. "Risk spillovers in international equity portfolios," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 121-137.
    5. Ralf Becker & Adam Clements & Robert O'Neill, 2010. "A Cholesky-MIDAS model for predicting stock portfolio volatility," Centre for Growth and Business Cycle Research Discussion Paper Series 149, Economics, The University of Manchester.
    6. Adam E Clements & Ayesha Scott & Annastiina Silvennoinen, 2012. "Forecasting multivariate volatility in larger dimensions: some practical issues," NCER Working Paper Series 80, National Centre for Econometric Research.
    7. Ralf Becker & Adam Clements & Robert O'Neill, 2010. "A Kernel Technique for Forecasting the Variance-Covariance Matrix," NCER Working Paper Series 66, National Centre for Econometric Research.
    8. Massimiliano Caporin & Michael McAleer, 2010. "Model Selection and Testing of Conditional and Stochastic Volatility Models," Working Papers in Economics 10/58, University of Canterbury, Department of Economics and Finance.
    9. Massimiliano Caporin & Michael McAleer, 2010. "Ranking Multivariate GARCH Models by Problem Dimension," "Marco Fanno" Working Papers 0124, Dipartimento di Scienze Economiche "Marco Fanno".
    10. 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.
    11. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    12. Radovan Parrák, 2013. "The Economic Valuation of Variance Forecasts: An Artificial Option Market Approach," Working Papers IES 2013/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2013.
    13. Fabrizio Cipollini & Giampiero M. Gallo & Edoardo Otranto, 2019. "Realized Volatility Forecasting: Robustness to Measurement Errors," Econometrics Working Papers Archive 2019_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    14. LAURENT, Sébastien & ROMBOUTS, Jeroen V. K. & VIOLANTE, Francesco, 2010. "On the forecasting accuracy of multivariate GARCH models," LIDAM Discussion Papers CORE 2010025, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Vincenzo Candila & Giampiero M. Gallo & Lea Petrella, 2020. "Mixed--frequency quantile regressions to forecast Value--at--Risk and Expected Shortfall," Papers 2011.00552, arXiv.org, revised Mar 2023.
    16. Benjamin Poignard & Jean-Davis Fermanian, 2014. "Dynamic Asset Correlations Based on Vines," Working Papers 2014-46, Center for Research in Economics and Statistics.
    17. Massimiliano Caporin & Paolo Paruolo, 2015. "Proximity-Structured Multivariate Volatility Models," Econometric Reviews, Taylor & Francis Journals, vol. 34(5), pages 559-593, May.
    18. Nicholas Taylor, 2014. "The Economic Value of Volatility Forecasts: A Conditional Approach," Journal of Financial Econometrics, Oxford University Press, vol. 12(3), pages 433-478.
    19. Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    20. Valeri Voev, 2009. "On the Economic Evaluation of Volatility Forecasts," CREATES Research Papers 2009-56, Department of Economics and Business Economics, Aarhus University.
    21. E. C. Brechmann & M. Heiden & Y. Okhrin, 2018. "A multivariate volatility vine copula model," Econometric Reviews, Taylor & Francis Journals, vol. 37(4), pages 281-308, April.

  15. A. S. Hurn & V.Pavlov, 2008. "Momentum in Australian Stock Returns: An Update," NCER Working Paper Series 23, National Centre for Econometric Research, revised 26 Feb 2008.

    Cited by:

    1. Karen L. Benson & David R. Gallagher & Patrick Teodorowski, 2007. "Momentum investing and the asset allocation decision," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 47(4), pages 571-598, December.
    2. Kingsley Fong & David R. Gallagher & Aaron Ng, 2005. "The Use of Derivatives by Investment Managers and Implications for Portfolio Performance and Risk," International Review of Finance, International Review of Finance Ltd., vol. 5(1‐2), pages 1-29, March.
    3. Júlio Lobão & Marcos Azeredo, 2018. "Momentum meets value investing in a small European market," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(1), pages 45-58, March.
    4. Ranjeeta Sadhwani & Mujeeb U Rehman Bhayo, 2019. "Momentum and Disposition Effect in the stock market of USA," Proceedings of Economics and Finance Conferences 8911340, International Institute of Social and Economic Sciences.
    5. Zhong, Angel & Limkriangkrai, Manapon & Gray, Philip, 2014. "Anomalies, risk adjustment and seasonality: Australian evidence," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 207-218.
    6. Paul van Rensburg & Emile Janari, 2008. "Firm-specific characteristics and the cross-section of Australian stock exchange returns," Journal of Asset Management, Palgrave Macmillan, vol. 9(3), pages 193-214, September.
    7. Robert Faff & David R. Gallagher & Eliza Wu, 2005. "Tactical Asset Allocation: Australian Evidence," Australian Journal of Management, Australian School of Business, vol. 30(2), pages 261-282, December.
    8. Tim Brailsford & Michael A. O'Brien, 2008. "Disentangling Size from Momentum in Australian Stock Returns," Australian Journal of Management, Australian School of Business, vol. 32(3), pages 463-484, March.
    9. Gallagher, David R. & Gardner, Peter & Swan, Peter L., 2009. "Portfolio pumping: An examination of investment manager quarter-end trading and impact on performance," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 1-27, January.
    10. Gharghori, Philip & Hamzah, Yusuf & Veeraraghavan, Madhu, 2010. "Migration and its contribution to the size and value premiums: Australian evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 177-196, April.
    11. Ashish Kumar Garg & Pankaj Varshney, 2015. "Momentum Effect in Indian Stock Market: A Sectoral Study," Global Business Review, International Management Institute, vol. 16(3), pages 494-510, June.
    12. Emilios C. C Galariotis, 2010. "What should investors know about the stability of momentum investing and its riskiness? The case of the Australian Security Exchange," Post-Print hal-00917587, HAL.
    13. Heaney, Richard & Koh, SzeKee & Lan, Yihui, 2016. "Australian firm characteristics and the cross-section variation in equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 104-115.
    14. Minh Phuong Doan & Vitali Alexeev & Robert Brooks, 2016. "Concurrent momentum and contrarian strategies in the Australian stock market," Australian Journal of Management, Australian School of Business, vol. 41(1), pages 77-106, February.
    15. Jenni L. Bettman & Stephen J. Sault & Anna H. von Reibnitz, 2010. "The impact of liquidity and transaction costs on the 52-week high momentum strategy in Australia," Australian Journal of Management, Australian School of Business, vol. 35(3), pages 227-244, December.
    16. Konstantinos Kassimatis, 2008. "Size, Book to Market and Momentum Effects in the Australian Stock Market," Australian Journal of Management, Australian School of Business, vol. 33(1), pages 145-168, June.
    17. Vlad Pavlov & Stan Hurn, 2009. "Testing the Profitability of Technical Analysis as a Portfolio Selection Strategy," NCER Working Paper Series 52, National Centre for Econometric Research.
    18. Yeng May Tan & Fan Fah Cheng, 2019. "Industry- and liquidity-based momentum in Australian equities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-18, December.
    19. Li, Bob & Stork, Thomas & Chai, Daniel & Ee, Mong Shan & Ang, Hong Nee, 2014. "Momentum effect in Australian equities: Revisit, armed with short-selling ban and risk factors," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 19-31.
    20. Supriya Maheshwari & Raj S. Dhankar, 2017. "The Effect of Global Crises on Momentum Profitability: Evidence from the Indian Stock Market," Vision, , vol. 21(1), pages 1-12, March.
    21. Daniel Chai & Binh Do, 2016. "Co-existence of short-term reversals and momentum in the Australian equity market," Australian Journal of Management, Australian School of Business, vol. 41(1), pages 55-76, February.
    22. Teri Lombardi Yohn, 2020. "Research on the use of financial statement information for forecasting profitability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 3163-3181, September.
    23. Thanh D Huynh & Daniel R Smith, 2017. "Delisted stocks and momentum: Evidence from a new Australian dataset," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 140-160, February.
    24. Gilna K. Samuel & Donald St. P. Richards, 2018. "A Probabilistic Analysis of Autocallable Optimization Securities," Papers 1804.00825, arXiv.org.
    25. Supriya Maheshwari & Raj S. Dhankar, 2017. "Profitability of Volume-based Momentum and Contrarian Strategies in the Indian Stock Market," Global Business Review, International Management Institute, vol. 18(4), pages 974-992, August.
    26. Robert B. Durand & Manapon Limkriangkrai & Gary Smith, 2006. "Momentum in Australia—A Note," Australian Journal of Management, Australian School of Business, vol. 31(2), pages 355-364, December.
    27. Nick Inglis & Bruce Vanstone & Tobias Hahn, 2019. "Modelling momentum winner/loser asymmetry: the sources of winner and loser returns in the ASX200 and S&P500," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 657-684, April.

  16. T M Christensen & A S Hurn & K A Lindsay, 2008. "It never rains but it pours: Modelling the persistence of spikes in electricity prices," NCER Working Paper Series 25, National Centre for Econometric Research.

    Cited by:

    1. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    2. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    3. 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.
    4. Eichler, M. & Grothe, O. & Manner, H. & Türk, D.D.T., 2012. "Modeling spike occurrences in electricity spot prices for forecasting," Research Memorandum 029, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    5. Rangga Handika & Chi Truong & Stefan Trueck & Rafal Weron, 2014. "Modelling price spikes in electricity markets - the impact of load, weather and capacity," HSC Research Reports HSC/14/08, Hugo Steinhaus Center, Wroclaw University of Technology.
    6. Giorgia Callegaro & Andrea Mazzoran & Carlo Sgarra, 2019. "A Self-Exciting Modelling Framework for Forward Prices in Power Markets," Papers 1910.13286, arXiv.org.
    7. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    8. Weron, Rafal & Janczura, Joanna, 2010. "Efficient estimation of Markov regime-switching models: An application to electricity wholesale market prices," MPRA Paper 26628, University Library of Munich, Germany.
    9. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    10. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
    11. Galarneau-Vincent, Rémi & Gauthier, Geneviève & Godin, Frédéric, 2023. "Foreseeing the worst: Forecasting electricity DART spikes," Energy Economics, Elsevier, vol. 119(C).
    12. A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.
    13. Bajo-Buenestado, Raúl, 2021. "Operating reserve demand curve, scarcity pricing and intermittent generation: Lessons from the Texas ERCOT experience," Energy Policy, Elsevier, vol. 149(C).
    14. Lu, Ye & Suthaharan, Neyavan, 2023. "Electricity price spike clustering: A zero-inflated GARX approach," Energy Economics, Elsevier, vol. 124(C).
    15. Jiao, Ying & Ma, Chunhua & Scotti, Simone & Sgarra, Carlo, 2019. "A branching process approach to power markets," Energy Economics, Elsevier, vol. 79(C), pages 144-156.
    16. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.
    17. Janczura, Joanna & Weron, Rafal, 2010. "An empirical comparison of alternate regime-switching models or electricity spot prices," MPRA Paper 20546, University Library of Munich, Germany.
    18. Manuel Zamudio López & Hamidreza Zareipour & Mike Quashie, 2024. "Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study," Forecasting, MDPI, vol. 6(1), pages 1-23, February.
    19. Loutfi, Ahmad Amine & Sun, Mengtao & Loutfi, Ijlal & Solibakke, Per Bjarte, 2022. "Empirical study of day-ahead electricity spot-price forecasting: Insights into a novel loss function for training neural networks," Applied Energy, Elsevier, vol. 319(C).
    20. Joanna Janczura & Rafal Weron, 2012. "Inference for Markov-regime switching models of electricity spot prices," HSC Research Reports HSC/12/01, Hugo Steinhaus Center, Wroclaw University of Technology.
    21. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.
    22. Daniel Manfre Jaimes & Manuel Zamudio López & Hamidreza Zareipour & Mike Quashie, 2023. "A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes," Forecasting, MDPI, vol. 5(3), pages 1-23, July.
    23. Pawel Maryniak & Rafal Weron, 2014. "Forecasting the occurrence of electricity price spikes in the UK power market," HSC Research Reports HSC/14/11, Hugo Steinhaus Center, Wroclaw University of Technology.
    24. Erdogdu, Erkan, 2016. "Asymmetric volatility in European day-ahead power markets: A comparative microeconomic analysis," Energy Economics, Elsevier, vol. 56(C), pages 398-409.
    25. Joanna Janczura & Rafał Weron, 2012. "Efficient estimation of Markov regime-switching models: An application to electricity spot prices," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 96(3), pages 385-407, July.
    26. Volodymyr Korniichuk, 2012. "Forecasting extreme electricity spot prices," Cologne Graduate School Working Paper Series 03-14, Cologne Graduate School in Management, Economics and Social Sciences.
    27. Adam E. Clements & A. Stan Hurn & Zili Li, 2017. "The Effect of Transmission Constraints on Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    28. Hagfors, Lars Ivar & Kamperud , Hilde Horthe & Paraschiv, Florentina & Prokopczuk, Marcel & Sator, Alma & Westgaard, Sjur, 2016. "Prediction of Extreme Price Occurrences in the German Day-ahead Electricity Market," Working Papers on Finance 1622, University of St. Gallen, School of Finance.
    29. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    30. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    31. Joseph Mullins & Liam Wagner & John Foster, 2010. "Price Spikes in Electricity Markets: A Strategic Perspective," Energy Economics and Management Group Working Papers 05, School of Economics, University of Queensland, Australia.
    32. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
    33. Russo, Marianna & Kraft, Emil & Bertsch, Valentin & Keles, Dogan, 2022. "Short-term risk management of electricity retailers under rising shares of decentralized solar generation," Energy Economics, Elsevier, vol. 109(C).
    34. Liebl, Dominik, 2013. "Modeling and Forecasting Electricity Spot Prices: A Functional Data Perspective," MPRA Paper 50881, University Library of Munich, Germany.

  17. Adam Clements & A S Hurn & K A Lindsay, 2008. "Estimating the Payoffs of Temperature-based Weather Derivatives," NCER Working Paper Series 33, National Centre for Econometric Research.

    Cited by:

    1. Janda, Karel & Vylezik, Tomas, 2011. "Financial Management of Weather Risk with Energy Derivatives," MPRA Paper 35037, University Library of Munich, Germany.
    2. Prabakaran, Sellamuthu & Garcia, Isabel C. & Mora, Jose U., 2020. "A temperature stochastic model for option pricing and its impacts on the electricity market," Economic Analysis and Policy, Elsevier, vol. 68(C), pages 58-77.
    3. Adam Clements & A S Hurn & K A Lindsay, 2008. "Developing analytical distributions for temperature indices for the purposes of pricing temperature-based weather derivatives," NCER Working Paper Series 34, National Centre for Econometric Research.
    4. Evarest Emmanuel & Berntsson Fredrik & Singull Martin & Yang Xiangfeng, 2018. "Weather derivatives pricing using regime switching model," Monte Carlo Methods and Applications, De Gruyter, vol. 24(1), pages 13-27, March.

  18. T M Christensen & A S Hurn & K A Lindsay, 2008. "The Devil is in the Detail: Hints for Practical Optimisation," NCER Working Paper Series 32, National Centre for Econometric Research.

    Cited by:

    1. David Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full Bekk for Risk Management," Tinbergen Institute Discussion Papers 17-069/III, Tinbergen Institute.
    2. Carolina Effio Saldivar & José Herskovits & Juan Pablo Luna & Claudia Sagastizábal, 2019. "Multidimensional Calibration Of Crude Oil And Refined Products Via Semidefinite Programming Techniques," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-31, February.
    3. Gehrig, Thomas & Haas, Marlene, 2014. "Lehman Brothers: What Did Markets Know?," CEPR Discussion Papers 9893, C.E.P.R. Discussion Papers.
    4. Gehrig, Thomas & Haas, Marlene, 2016. "Anomalous Trading Prior to Lehman Brothers' Failure," CEPR Discussion Papers 11194, C.E.P.R. Discussion Papers.

  19. Adrian Pagan & Hashem Pesaran, 2007. "Econometric Analysis of Structural Systems with Permanent and Transitory Shocks. Working paper #7," NCER Working Paper Series 7, National Centre for Econometric Research.

    Cited by:

    1. Dees, Stephane & Pesaran, M. Hashem & Smith, L. Vanessa & Smith, Ron P., 2008. "Identification of New Keynesian Phillips Curves from a Global Perspective," IZA Discussion Papers 3298, Institute of Labor Economics (IZA).
    2. Dungey, Mardi & Vehbi, Tugrul & Martin, Charlton, 2014. "VAR modelling in the presence of China’s rise : an application to the Taiwanese economy," Working Papers 2014-09, University of Tasmania, Tasmanian School of Business and Economics.
    3. Soyoung Kim & Jaewoo Lee, 2008. "International Macroeconomic Fluctuations: A New Open Economy Macroeconomics Interpretation," Working Papers 232008, Hong Kong Institute for Monetary Research.

  20. A. Hurn & J. Jeisman & K. Lindsay, 2007. "Teaching an Old Dog New Tricks: Improved Estimation of the Parameters of Stochastic Differential Equations by Numerical Solution of the Fokker-Planck Equation," NCER Working Paper Series 9, National Centre for Econometric Research.

    Cited by:

    1. Fabian Dunker & Thorsten Hohage, 2014. "On parameter identification in stochastic differential equations by penalized maximum likelihood," Papers 1404.0651, arXiv.org.

  21. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Teaching an old dog new tricks: Improved estimation of the parameters of SDEs by numerical solution of the Fokker-Planck equation," Stan Hurn Discussion Papers 2006-01, School of Economics and Finance, Queensland University of Technology.

    Cited by:

    1. Lux, Thomas, 2008. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Kiel Working Papers 1424, Kiel Institute for the World Economy (IfW Kiel).
    2. Thomas Lux & Jaba Ghonghadze, 2011. "Modeling the Dynamics of EU Economic Sentiment Indicators: An Interaction-Based Approach," Post-Print hal-00711445, HAL.
    3. Lux, Thomas, 2008. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Economics Working Papers 2008-07, Christian-Albrechts-University of Kiel, Department of Economics.
    4. Jaba Ghonghadze & Thomas Lux, 2012. "Modelling the dynamics of EU economic sentiment indicators: an interaction-based approach," Applied Economics, Taylor & Francis Journals, vol. 44(24), pages 3065-3088, August.
    5. Thomas Lux, 2009. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Post-Print hal-00720175, HAL.
    6. Ghonghadze, Jaba & Lux, Thomas, 2009. "Modeling the dynamics of EU economic sentiment indicators: an interaction-based approach," Kiel Working Papers 1487, Kiel Institute for the World Economy (IfW Kiel).

  22. Adam Clements & Stan Hurn & Scott White, 2006. "Estimating Stochastic Volatility Models Using a Discrete Non-linear Filter. Working paper #3," NCER Working Paper Series 3, National Centre for Econometric Research.

    Cited by:

    1. Jason Ng & Catherine S. Forbes & Gael M. Martin & Brendan P.M. McCabe, 2011. "Non-Parametric Estimation of Forecast Distributions in Non-Gaussian, Non-linear State Space Models," Monash Econometrics and Business Statistics Working Papers 11/11, Monash University, Department of Econometrics and Business Statistics.

  23. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the wood for the trees: A critical evaluation of methods to estimate the parameters of stochastic differential equations," Stan Hurn Discussion Papers 2006, School of Economics and Finance, Queensland University of Technology.

    Cited by:

    1. Aït-Sahalia, Yacine & Fan, Jianqing & Peng, Heng, 2009. "Nonparametric Transition-Based Tests for Jump Diffusions," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1102-1116.
    2. Otero, Karina V., 2016. "Intensity of default in sovereign bonds: Estimation of an unobservable process," MPRA Paper 86782, University Library of Munich, Germany.
    3. Aït-Sahalia, Yacine & Kimmel, Robert L., 2010. "Estimating affine multifactor term structure models using closed-form likelihood expansions," Journal of Financial Economics, Elsevier, vol. 98(1), pages 113-144, October.
    4. T M Christensen & A S Hurn & K A Lindsay, 2008. "The Devil is in the Detail: Hints for Practical Optimisation," NCER Working Paper Series 32, National Centre for Econometric Research.
    5. Ai[diaeresis]t-Sahalia, Yacine & Kimmel, Robert, 2007. "Maximum likelihood estimation of stochastic volatility models," Journal of Financial Economics, Elsevier, vol. 83(2), pages 413-452, February.
    6. Varughese, Melvin M., 2013. "Parameter estimation for multivariate diffusion systems," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 417-428.
    7. Emma M. Iglesias & Garry D. A. Phillips, 2020. "Further Results on Pseudo‐Maximum Likelihood Estimation and Testing in the Constant Elasticity of Variance Continuous Time Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 357-364, March.
    8. Thomas Lux, 2013. "Inference for systems of stochastic differential equations from discretely sampled data: a numerical maximum likelihood approach," Annals of Finance, Springer, vol. 9(2), pages 217-248, May.
    9. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Teaching an old dog new tricks: Improved estimation of the parameters of SDEs by numerical solution of the Fokker-Planck equation," Stan Hurn Discussion Papers 2006-01, School of Economics and Finance, Queensland University of Technology.
    10. Peter Fuleky, 2012. "On the choice of the unit period in time series models," Applied Economics Letters, Taylor & Francis Journals, vol. 19(12), pages 1179-1182, August.
    11. Kozarski, R., 2013. "Pricing and hedging in the VIX derivative market," Other publications TiSEM 221fefe0-241e-4914-b6bd-c, Tilburg University, School of Economics and Management.
    12. Lux, Thomas, 2012. "Estimation of an agent-based model of investor sentiment formation in financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 36(8), pages 1284-1302.
    13. Damir FILIPOVIC & Eberhard BERHARD & Paul SCHNEIDER, 2011. "Density Approximations For Multivariate Affine Jump-Diffusion Processes," Swiss Finance Institute Research Paper Series 11-20, Swiss Finance Institute.
    14. Mogens Bladt & Samuel Finch & Michael Sørensen, 2014. "Simulation of multivariate diffusion bridges," CREATES Research Papers 2014-16, Department of Economics and Business Economics, Aarhus University.
    15. Huang Xiao, 2013. "Quasi-maximum likelihood estimation of multivariate diffusions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 179-197, April.
    16. Alejandra López-Pérez & Manuel Febrero-Bande & Wencesalo González-Manteiga, 2021. "Parametric Estimation of Diffusion Processes: A Review and Comparative Study," Mathematics, MDPI, vol. 9(8), pages 1-27, April.
    17. Lux, Thomas, 2008. "Rational forecasts or social opinion dynamics? Identification of interaction effects in a business climate survey," Economics Working Papers 2008-07, Christian-Albrechts-University of Kiel, Department of Economics.
    18. A. Hurn & J. Jeisman & K. Lindsay, 2007. "Teaching an Old Dog New Tricks: Improved Estimation of the Parameters of Stochastic Differential Equations by Numerical Solution of the Fokker-Planck Equation," NCER Working Paper Series 9, National Centre for Econometric Research.
    19. Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.
    20. Xiu, Dacheng, 2014. "Hermite polynomial based expansion of European option prices," Journal of Econometrics, Elsevier, vol. 179(2), pages 158-177.
    21. Shi, Yong & Tang, Ye-ran & Long, Wen, 2019. "Sentiment contagion analysis of interacting investors: Evidence from China’s stock forum," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 246-259.
    22. Lee, Yoon Dong & Song, Seongjoo & Lee, Eun-Kyung, 2014. "The delta expansion for the transition density of diffusion models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 694-705.
    23. Kirkby, J.L. & Nguyen, Dang H. & Nguyen, Duy & Nguyen, Nhu N., 2022. "Maximum likelihood estimation of diffusions by continuous time Markov chain," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    24. Thomas Lux, 2009. "Rational Forecasts or Social Opinion Dynamics? Identification of Interaction Effects in a Business Climate Survey," Post-Print hal-00720175, HAL.
    25. Hurn, A.S. & Lindsay, K.A. & McClelland, A.J., 2013. "A quasi-maximum likelihood method for estimating the parameters of multivariate diffusions," Journal of Econometrics, Elsevier, vol. 172(1), pages 106-126.
    26. Xiao Huang, 2011. "Quasi‐maximum likelihood estimation of discretely observed diffusions," Econometrics Journal, Royal Economic Society, vol. 14(2), pages 241-256, July.
    27. Picchini, Umberto & Ditlevsen, Susanne, 2011. "Practical estimation of high dimensional stochastic differential mixed-effects models," Computational Statistics & Data Analysis, Elsevier, vol. 55(3), pages 1426-1444, March.
    28. Becker, Christoph & Schmidt, Wolfgang M., 2013. "Stressing correlations and volatilities — A consistent modeling approach," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 174-194.
    29. esposito, francesco paolo & cummins, mark, 2015. "Filtering and likelihood estimation of latent factor jump-diffusions with an application to stochastic volatility models," MPRA Paper 64987, University Library of Munich, Germany.
    30. Lux, Thomas, 2012. "Inference for systems of stochastic differential equations from discretely sampled data: A numerical maximum likelihood approach," Kiel Working Papers 1781, Kiel Institute for the World Economy (IfW Kiel).

  24. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations. Working paper #2," NCER Working Paper Series 2, National Centre for Econometric Research.

    Cited by:

    1. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Teaching an old dog new tricks: Improved estimation of the parameters of SDEs by numerical solution of the Fokker-Planck equation," Stan Hurn Discussion Papers 2006-01, School of Economics and Finance, Queensland University of Technology.
    2. A. Hurn & J. Jeisman & K. Lindsay, 2007. "Teaching an Old Dog New Tricks: Improved Estimation of the Parameters of Stochastic Differential Equations by Numerical Solution of the Fokker-Planck Equation," NCER Working Paper Series 9, National Centre for Econometric Research.

  25. Stan Hurn, 2004. "Testing for Nonlinearity in Mean in the Presence of Heteroskedasticity," Econometric Society 2004 Australasian Meetings 348, Econometric Society.

    Cited by:

    1. Daiki Maki & Yasushi Ota, 2021. "Testing for Time-Varying Properties Under Misspecified Conditional Mean and Variance," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1167-1182, April.
    2. Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "International R&D spillovers, absorptive capacity and relative backwardness: a panel smooth transition regression model," Department of Economics Working Papers 1203, Department of Economics, University of Trento, Italia.
    3. Daiki Maki & Yasushi Ota, 2019. "Testing for time-varying properties under misspecified conditional mean and variance," Papers 1907.12107, arXiv.org, revised Aug 2019.
    4. Ralf Becker & Denise R. Osborn, 2012. "Weighted Smooth Transition Regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 795-811, August.
    5. Daiki Maki & Yasushi Ota, 2019. "Robust tests for ARCH in the presence of the misspecified conditional mean: A comparison of nonparametric approches," Papers 1907.12752, arXiv.org, revised Sep 2019.
    6. Fracasso, Andrea & Vittucci Marzetti, Giuseppe, 2015. "International trade and R&D spillovers," Journal of International Economics, Elsevier, vol. 96(1), pages 138-149.
    7. Birgit Strikholm & Timo Teräsvirta, 2006. "A sequential procedure for determining the number of regimes in a threshold autoregressive model," Econometrics Journal, Royal Economic Society, vol. 9(3), pages 472-491, November.
    8. Carlo Altavilla & Paul De Grauwe, 2005. "Non-Linearities in the Relation between the Exchange Rate and its Fundamentals," CESifo Working Paper Series 1561, CESifo.
    9. Wasel Shadat, 2011. "On the Nonparametric Tests of Univariate GARCH Regression Models," Economics Discussion Paper Series 1115, Economics, The University of Manchester.
    10. Jorge Belaire-Franch & Amado Peiró, 2015. "Asymmetry in the relationship between unemployment and the business cycle," Empirical Economics, Springer, vol. 48(2), pages 683-697, March.
    11. Giulio Cainelli & Andrea Fracasso & Giuseppe Vittucci Marzetti, 2012. "Spatial agglomeration and productivity in Italy: a panel smooth transition regression approach," Openloc Working Papers 1204, Public policies and local development.
    12. Nan Cai & Zongwu Cai & Ying Fang & Qiuhua Xu, 2015. "Forecasting major Asian exchange rates using a new semiparametric STAR model," Empirical Economics, Springer, vol. 48(1), pages 407-426, February.

  26. Scott I. White & Adam E. Clements & Stan Hurn, 2004. "Discretised Non-Linear Filtering for Dynamic Latent Variable Models: with Application to Stochastic Volatility," Econometric Society 2004 Australasian Meetings 46, Econometric Society.

    Cited by:

    1. Ralf Becker & Adam Clements, 2007. "Are combination forecasts of S&P 500 volatility statistically superior?," NCER Working Paper Series 17, National Centre for Econometric Research.
    2. Becker, Ralf & Clements, Adam E. & White, Scott I., 2007. "Does implied volatility provide any information beyond that captured in model-based volatility forecasts?," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2535-2549, August.
    3. Ralf Becker & Adam Clements & Christopher Coleman-Fenn, 2009. "Forecast performance of implied volatility and the impact of the volatility risk premium," NCER Working Paper Series 45, National Centre for Econometric Research.
    4. Ralph D. Snyder & Gael M. Martin & Phillip Gould & Paul D. Feigin, 2007. "An Assessment of Alternative State Space Models for Count Time Series," Monash Econometrics and Business Statistics Working Papers 4/07, Monash University, Department of Econometrics and Business Statistics.

  27. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2002. "A smooth-transition model of the Australian unemployment rate," Working Paper Series 1002, Department of Economics, Norwegian University of Science and Technology, revised 01 Jul 2003.

    Cited by:

    1. Kulaksizoglu, Tamer & Kulaksizoglu, Sebnem, 2009. "The U.S. Excess Money Growth and Inflation Relation in the Long-Run: A Nonlinear Analysis," MPRA Paper 23780, University Library of Munich, Germany.
    2. Julie L. Hotchkiss & John C. Robertson, 2006. "Asymmetric labor force participation decisions over the business cycle: evidence from U.S. microdata," FRB Atlanta Working Paper 2006-08, Federal Reserve Bank of Atlanta.

  28. Ralf Becker & Walter Enders & Stan Hurn, 2001. "Modelling Structural Change in Money Demand Using a Fourier-Series Approximation," Research Paper Series 67, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Razvan Pascalau & Christian Thomann & Greg N. Gregoriou, 2011. "Unconditional Mean, Volatility, and the FOURIER-GARCH Representation," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Derivatives Pricing, Hedge Funds and Term Structure Models, chapter 5, pages 90-106, Palgrave Macmillan.
    2. Garcés Díaz, Daniel Guillermo, 2008. "Efectos de los cambios de la política monetaria en las dinámicas del tipo de cambio, el dinero y los precios en México (1945-2000)," El Trimestre Económico, Fondo de Cultura Económica, vol. 0(299), pages 683-713, julio-sep.
    3. Daniel Garces-Diaz, 2004. "How Does the Monetary Model of Exchange Rate Determination Look When It Really Works?," Econometric Society 2004 North American Winter Meetings 60, Econometric Society.

  29. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2001. "Modelling Wages and Prices in Australia," Working Paper Series 1202, Department of Economics, Norwegian University of Science and Technology, revised 30 Sep 2005.

    Cited by:

    1. Saten Kumar & Don J. Webber & Geoff Perry, 2009. "Real wages, inflation and labour productivity in Australia," Working Papers 0921, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    2. David Norman & Anthony Richards, 2010. "Modelling Inflation in Australia," RBA Research Discussion Papers rdp2010-03, Reserve Bank of Australia.
    3. Bjørnar Karlsen Kivedal, 2018. "A new Keynesian framework and wage and price dynamics in the USA," Empirical Economics, Springer, vol. 55(3), pages 1271-1289, November.
    4. David Norman & Anthony Richards, 2012. "The Forecasting Performance of Single Equation Models of Inflation," The Economic Record, The Economic Society of Australia, vol. 88(280), pages 64-78, March.
    5. Rita Duarte, 2009. "The dynamic effects of shocks to wages and prices in the United States and the Euro Area," Working Papers w200915, Banco de Portugal, Economics and Research Department.
    6. Leung Andrew P., 2015. "The Fisher Hypothesis and Its Implications for Defined Benefits," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 9(1), pages 107-124, January.

  30. Ralf Becker & Walter Enders & A. Stan Hurn, 2001. "Testing for Time Dependence in Parameters," Research Paper Series 58, Quantitative Finance Research Centre, University of Technology, Sydney.

    Cited by:

    1. Stengos, Thanasis & Yazgan, M. Ege, 2014. "Persistence In Convergence," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 753-782, June.
    2. Dimitris, Chrsitopoulos & Miguel, Leon-Ledesma, 2009. "International Output Convergence, Breaks, and Asymmetric Adjustment," MPRA Paper 14566, University Library of Munich, Germany.
    3. Thanasis Stengos & M. Ege Yazgan, 2012. "Persistence in Real Exchange Rate Convergence," Working Papers 1207, University of Guelph, Department of Economics and Finance.
    4. Christopoulos, Dimitris K. & León-Ledesma, Miguel A., 2010. "Smooth breaks and non-linear mean reversion: Post-Bretton Woods real exchange rates," Journal of International Money and Finance, Elsevier, vol. 29(6), pages 1076-1093, October.
    5. Enders, Walter & Holt, Matthew T., 2011. "Breaks, bubbles, booms, and busts: the evolution of primary commodity price fundamentals," MPRA Paper 31461, University Library of Munich, Germany.
    6. Jing Li & Henry Thompson, 2010. "A Note on the Oil Price Trend and GARCH Shocks," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 159-166.
    7. Paulo M.M. Rodrigues & A. M. Robert Taylor, 2009. "The Flexible Fourier Form and Local GLS De-trended Unit Root Tests," Working Papers w200919, Banco de Portugal, Economics and Research Department.
    8. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    9. Lee, Chia-Hao & Chou, Pei-I, 2013. "The behavior of real exchange rate: Nonlinearity and breaks," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 125-133.
    10. Pascalau, Razvan, 2008. "Unit Roots Tests with Smooth Breaks: An Application to the Nelson-Plosser Data Set," MPRA Paper 7220, University Library of Munich, Germany.

  31. Gunnar Bårdsen & Stan Hurn & Kenneth Lindsay, 1999. "The Generic Properties of Equilibrium Correction Mechanisms," Working Paper Series 0402, Department of Economics, Norwegian University of Science and Technology.

    Cited by:

  32. Creedy, J. & Hurn, S., 1998. "Distributional Preferences and the Extended Gini Measures of Inequality," Department of Economics - Working Papers Series 619, The University of Melbourne.

    Cited by:

    1. Christian Seidl, 2001. "Inequality measurement and the leaky-bucket paradox," Economics Bulletin, AccessEcon, vol. 4(6), pages 1-7.

  33. Hurn, A.S. & Lindsay, K.A., 1995. "Estimating the Parameters of Stochastic Differential Equations by Monte Carlo Methods," Department of Economics - Working Papers Series 472, The University of Melbourne.

    Cited by:

    1. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Teaching an old dog new tricks: Improved estimation of the parameters of SDEs by numerical solution of the Fokker-Planck equation," Stan Hurn Discussion Papers 2006-01, School of Economics and Finance, Queensland University of Technology.
    2. Alcock, Jamie & Burrage, Kevin, 2004. "A genetic estimation algorithm for parameters of stochastic ordinary differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 47(2), pages 255-275, September.
    3. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations. Working paper #2," NCER Working Paper Series 2, National Centre for Econometric Research.
    4. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the wood for the trees: A critical evaluation of methods to estimate the parameters of stochastic differential equations," Stan Hurn Discussion Papers 2006, School of Economics and Finance, Queensland University of Technology.

Articles

  1. Hurn, Stan & Shi, Shuping & Wang, Ben, 2022. "Housing networks and driving forces," Journal of Banking & Finance, Elsevier, vol. 134(C).

    Cited by:

    1. Jian Yang & Meng Tong & Ziliang Yu, 2023. "Can volume be more informative than prices? Evidence from Chinese housing markets," Review of Quantitative Finance and Accounting, Springer, vol. 61(2), pages 633-672, August.
    2. José-Francisco Vergara-Perucich, 2022. "Is There Financialization of Housing Prices? Empirical Evidence from Santiago de Chile," Economies, MDPI, vol. 10(6), pages 1-14, May.
    3. Wang, Wen-Kai & Lin, Che-Chun & Tsai, I-Chun, 2022. "Long- and short-term price behaviors in presale housing markets in Taiwan," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 350-364.
    4. Cheng-Wen Lee & Shu-Hen Chiang & Zhong-Qin Wen, 2023. "Pursuing the Sustainability of Real Estate Market: The Case of Chinese Land Resources Diversification," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    5. Yuan, Ying & Wang, Haiying & Jin, Xiu, 2022. "Pandemic-driven financial contagion and investor behavior: Evidence from the COVID-19," International Review of Financial Analysis, Elsevier, vol. 83(C).

  2. Christopher F Baum & Stan Hurn & Kenneth Lindsay & Jesús Otero, 2022. "Testing for time-varying Granger causality," Stata Journal, StataCorp LP, vol. 22(2), pages 355-378, June.
    See citations under working paper version above.
  3. Hurn Stan & Johnson Nicholas & Silvennoinen Annastiina & Teräsvirta Timo, 2022. "Transition from the Taylor rule to the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 26(5), pages 635-647, December.
    See citations under working paper version above.
  4. Christopher F Baum & Stan Hurn & Kenneth Lindsay, 2021. "The BDS test of independence," Stata Journal, StataCorp LP, vol. 21(2), pages 279-294, June.

    Cited by:

    1. Lorenzo Escot & Julio E. Sandubete & Łukasz Pietrych, 2023. "Detecting Structural Changes in Time Series by Using the BDS Test Recursively: An Application to COVID-19 Effects on International Stock Markets," Mathematics, MDPI, vol. 11(23), pages 1-18, December.

  5. Mardi Dungey & Stan Hurn & Shuping Shi & Vladimir Volkov, 2019. "Information Flow in Times of Crisis: The Case of the European Banking and Sovereign Sectors," Econometrics, MDPI, vol. 7(1), pages 1-20, January.

    Cited by:

    1. Meng-Horng Lee & Chee-Wooi Hooy & Robert Brooks, 2023. "A New Measure for Idiosyncratic Risk Based on Decomposition Method," JRFM, MDPI, vol. 16(1), pages 1-8, January.
    2. Matthew Greenwood‐Nimmo & Viet Hoang Nguyen & Eliza Wu, 2021. "On the International Spillover Effects of Country‐Specific Financial Sector Bailouts and Sovereign Risk Shocks," The Economic Record, The Economic Society of Australia, vol. 97(317), pages 285-309, June.
    3. 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.

  6. Shuping Shi & Peter C. B. Phillips & Stan Hurn, 2018. "Change Detection and the Causal Impact of the Yield Curve," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 966-987, November.
    See citations under working paper version above.
  7. Clements, Adam & Hurn, Stan & Shi, Shuping, 2017. "An empirical investigation of herding in the U.S. stock market," Economic Modelling, Elsevier, vol. 67(C), pages 184-192.

    Cited by:

    1. Jose Eduardo Gomez-Gonzalez & Jorge Hirs-Garzon, 2017. "Uncovering the time-varying nature of causality between oil prices and stock market returns: A multi-country study," Borradores de Economia 1009, Banco de la Republica de Colombia.
    2. Goldbaum, David, 2021. "The origins of influence," Economic Modelling, Elsevier, vol. 97(C), pages 380-396.
    3. Mumtaz Hussain & Salma Sadiq & Muhammad Haroon Rasheed & Khurram Amin, 2022. "Exploring the Dynamics of Investors’ Decision Making in Pakistan Stock Market: A Study of Herding Behavior," Journal of Economic Impact, Science Impact Publishers, vol. 4(1), pages 165-173.
    4. Ki-Hong Choi & Seong-Min Yoon, 2020. "Investor Sentiment and Herding Behavior in the Korean Stock Market," IJFS, MDPI, vol. 8(2), pages 1-14, June.
    5. Jose Eduardo Gomez-Gonzalez & Jorge Hirs-Garzon & Sebastian Sanin-Restrepo, 2018. "Dynamic relations between oil and stock markets: Volatility spillovers, networks and causality," Borradores de Economia 1051, Banco de la Republica de Colombia.
    6. Gimeno, Ruth & Andreu, Laura & Sarto, José Luis, 2022. "Fund trading divergence and performance contribution," International Review of Financial Analysis, Elsevier, vol. 83(C).
    7. Wang, Guocheng & Wang, Yanyi, 2018. "Herding, social network and volatility," Economic Modelling, Elsevier, vol. 68(C), pages 74-81.
    8. Lesame, Keagile & Ngene, Geoffrey & Gupta, Rangan & Bouri, Elie, 2024. "Herding in international REITs markets around the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 67(PB).
    9. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
    10. Vo, Xuan Vinh & Phan, Dang Bao Anh, 2019. "Herding and equity market liquidity in emerging market. Evidence from Vietnam," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    11. Kizys, Renatas & Tzouvanas, Panagiotis & Donadelli, Michael, 2021. "From COVID-19 herd immunity to investor herding in international stock markets: The role of government and regulatory restrictions," International Review of Financial Analysis, Elsevier, vol. 74(C).
    12. Coskun, Esra Alp & Lau, Chi Keung Marco & Kahyaoglu, Hakan, 2020. "Uncertainty and herding behavior: evidence from cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 54(C).
    13. Vo, Xuan Vinh & Phan, Dang Bao Anh, 2019. "Herd behavior and idiosyncratic volatility in a frontier market," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 321-330.
    14. Junkai Wang & Robert Hudson, 2024. "Better ways to test for herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 790-818, January.
    15. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    16. Ukpong, Idibekeabasi & Tan, Handy & Yarovaya, Larisa, 2021. "Determinants of industry herding in the US stock market," Finance Research Letters, Elsevier, vol. 43(C).
    17. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    18. Richard T. Ampofo & Eric N. Aidoo & Bernard O. Ntiamoah & Ophelia Frimpong & Daniel Sasu, 2023. "An empirical investigation of COVID-19 effects on herding behaviour in USA and UK stock markets using a quantile regression approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(2), pages 517-540, June.
    19. Ali-Rind, Asad & Boubaker, Sabri & Jarjir, Souad Lajili, 2023. "Peer effects in financial economics: A literature survey," Research in International Business and Finance, Elsevier, vol. 64(C).
    20. Raggad, Bechir, 2021. "Time varying causal relationship between renewable energy consumption, oil prices and economic activity: New evidence from the United States," Resources Policy, Elsevier, vol. 74(C).

  8. Li, Z. & Hurn, A.S. & Clements, A.E., 2017. "Forecasting quantiles of day-ahead electricity load," Energy Economics, Elsevier, vol. 67(C), pages 60-71.

    Cited by:

    1. Maciejowska, Katarzyna, 2020. "Assessing the impact of renewable energy sources on the electricity price level and variability – A quantile regression approach," Energy Economics, Elsevier, vol. 85(C).
    2. Andoni, Merlinda & Robu, Valentin & Flynn, David & Abram, Simone & Geach, Dale & Jenkins, David & McCallum, Peter & Peacock, Andrew, 2019. "Blockchain technology in the energy sector: A systematic review of challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 100(C), pages 143-174.
    3. Guo-Feng Fan & Li-Ling Peng & Xiangjun Zhao & Wei-Chiang Hong, 2017. "Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model," Energies, MDPI, vol. 10(11), pages 1-22, October.
    4. Guo, Zhifeng & Zhou, Kaile & Zhang, Xiaoling & Yang, Shanlin, 2018. "A deep learning model for short-term power load and probability density forecasting," Energy, Elsevier, vol. 160(C), pages 1186-1200.
    5. Kailai Ni & Jianzhou Wang & Guangyu Tang & Danxiang Wei, 2019. "Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia," Energies, MDPI, vol. 12(13), pages 1-30, June.
    6. Omar Jouma El-Hafez & Tarek Y. ElMekkawy & Mohamed Kharbeche & Ahmed Massoud, 2022. "Impact of COVID-19 Pandemic on Qatar Electricity Demand and Load Forecasting: Preparedness of Distribution Networks for Emerging Situations," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    7. Haben, Stephen & Giasemidis, Georgios & Ziel, Florian & Arora, Siddharth, 2019. "Short term load forecasting and the effect of temperature at the low voltage level," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1469-1484.
    8. Frantiv{s}ek v{C}ech & Jozef Barun'ik, 2018. "Panel quantile regressions for estimating and predicting the Value--at--Risk of commodities," Papers 1807.11823, arXiv.org.
    9. Agüera-Pérez, Agustín & Palomares-Salas, José Carlos & González de la Rosa, Juan José & Florencias-Oliveros, Olivia, 2018. "Weather forecasts for microgrid energy management: Review, discussion and recommendations," Applied Energy, Elsevier, vol. 228(C), pages 265-278.
    10. Winfield, Mark & Shokrzadeh, Shahab & Jones, Adam, 2018. "Energy policy regime change and advanced energy storage: A comparative analysis," Energy Policy, Elsevier, vol. 115(C), pages 572-583.
    11. Weeratunge, Hansani & Narsilio, Guillermo & de Hoog, Julian & Dunstall, Simon & Halgamuge, Saman, 2018. "Model predictive control for a solar assisted ground source heat pump system," Energy, Elsevier, vol. 152(C), pages 974-984.
    12. Richard Bean, 2023. "Forecasting the Monash Microgrid for the IEEE-CIS Technical Challenge," Energies, MDPI, vol. 16(3), pages 1-23, January.
    13. Konrad Bogner & Florian Pappenberger & Massimiliano Zappa, 2019. "Machine Learning Techniques for Predicting the Energy Consumption/Production and Its Uncertainties Driven by Meteorological Observations and Forecasts," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    14. Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.

  9. Adam E. Clements & A. Stan Hurn & Zili Li, 2017. "The Effect of Transmission Constraints on Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).

    Cited by:

    1. Smith, Michael Stanley & Shively, Thomas S., 2018. "Econometric modeling of regional electricity spot prices in the Australian market," Energy Economics, Elsevier, vol. 74(C), pages 886-903.
    2. Sirin, Selahattin Murat & Camadan, Ercument & Erten, Ibrahim Etem & Zhang, Alex Hongliang, 2023. "Market failure or politics? Understanding the motives behind regulatory actions to address surging electricity prices," Energy Policy, Elsevier, vol. 180(C).
    3. Dorsey-Palmateer, Reid, 2020. "Transmission costs and the value of wind generation for the CREZ project," Energy Policy, Elsevier, vol. 138(C).
    4. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 197-212.
    5. Oliva H., Sebastian & Muñoz, Juan & Fredes, Felipe & Sauma, Enzo, 2022. "Impact of increasing transmission capacity for a massive integration of renewable energy on the energy and environmental value of distributed generation," Renewable Energy, Elsevier, vol. 183(C), pages 524-534.
    6. Abadie, Luis María & Chamorro, José Manuel, 2021. "Evaluation of a cross-border electricity interconnection: The case of Spain-France," Energy, Elsevier, vol. 233(C).

  10. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Forecasting day-ahead electricity load using a multiple equation time series approach," European Journal of Operational Research, Elsevier, vol. 251(2), pages 522-530.
    See citations under working paper version above.
  11. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.

    Cited by:

    1. Hung Do & Rabindra Nepal & Tooraj Jamasb, 2020. "Electricity market integration, decarbonisation and security of supply: Dynamic volatility connectedness in the Irish and Great Britain markets," CAMA Working Papers 2020-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Yan, Guan & Trück, Stefan, 2020. "A dynamic network analysis of spot electricity prices in the Australian national electricity market," Energy Economics, Elsevier, vol. 92(C).
    3. Rintamäki, Tuomas & Siddiqui, Afzal S. & Salo, Ahti, 2020. "Strategic offering of a flexible producer in day-ahead and intraday power markets," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1136-1153.
    4. Carlo Mari & Emiliano Mari, 2021. "Gaussian clustering and jump-diffusion models of electricity prices: a deep learning analysis," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1039-1062, December.
    5. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    6. Antonello Rosato & Rosa Altilio & Rodolfo Araneo & Massimo Panella, 2017. "Prediction in Photovoltaic Power by Neural Networks," Energies, MDPI, vol. 10(7), pages 1-25, July.
    7. Jérôme De Boeck & Luce Brotcorne & Bernard Fortz, 2022. "Strategic bidding in price coupled regions," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 95(3), pages 365-407, June.
    8. Mayer, Klaus & Trück, Stefan, 2018. "Electricity markets around the world," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 77-100.
    9. Lu, Ye & Suthaharan, Neyavan, 2023. "Electricity price spike clustering: A zero-inflated GARX approach," Energy Economics, Elsevier, vol. 124(C).
    10. Mardi Dungey & Ali Ghahremanlou & Ngo Van Long, 2017. "Strategic Bidding of Electric Power Generating Companies: Evidence from the Australian National Energy Market," CESifo Working Paper Series 6819, CESifo.
    11. Yang, Peiwen & Dong, Jun & Lin, Jin & Liu, Yao & Fang, Debin, 2021. "Analysis of offering behavior of generation-side integrated energy aggregator in electricity market:A Bayesian evolutionary approach," Energy, Elsevier, vol. 228(C).
    12. Poplavskaya, Ksenia & Lago, Jesus & de Vries, Laurens, 2020. "Effect of market design on strategic bidding behavior: Model-based analysis of European electricity balancing markets," Applied Energy, Elsevier, vol. 270(C).
    13. Oludamilare Bode Adewuyi & Mikaeel Ahmadi & Isaiah Opeyemi Olaniyi & Tomonobu Senjyu & Temitayo Olayemi Olowu & Paras Mandal, 2019. "Voltage Security-Constrained Optimal Generation Rescheduling for Available Transfer Capacity Enhancement in Deregulated Electricity Markets," Energies, MDPI, vol. 12(22), pages 1-16, November.
    14. Aithal, Avinash & Li, Gen & Wu, Jianzhong & Yu, James, 2018. "Performance of an electrical distribution network with Soft Open Point during a grid side AC fault," Applied Energy, Elsevier, vol. 227(C), pages 262-272.
    15. Brown, David P. & Eckert, Andrew & Lin, James, 2018. "Information and Transparency in Wholesale Electricity Markets: Evidence from Alberta," Working Papers 2018-2, University of Alberta, Department of Economics.
    16. Hung Do & Rabindra Nepal & Russell Smyth, 2020. "Interconnectedness in the Australian national electricity market: A higher moment analysis," CAMA Working Papers 2020-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. Mwampashi, Muthe Mathias & Nikitopoulos, Christina Sklibosios & Rai, Alan & Konstandatos, Otto, 2022. "Large-scale and rooftop solar generation in the NEM: A tale of two renewables strategies," Energy Economics, Elsevier, vol. 115(C).
    18. Carlo Lucheroni & Carlo Mari, 2021. "Internal hedging of intermittent renewable power generation and optimal portfolio selection," Annals of Operations Research, Springer, vol. 299(1), pages 873-893, April.
    19. Ni Lei & Lanyun Chen & Chuanwang Sun & Yuan Tao, 2018. "Electricity Market Creation in China: Policy Options from Political Economics Perspective," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    20. Morvaj, Boran & Evins, Ralph & Carmeliet, Jan, 2017. "Decarbonizing the electricity grid: The impact on urban energy systems, distribution grids and district heating potential," Applied Energy, Elsevier, vol. 191(C), pages 125-140.

  12. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2016. "Common trends in global volatility," Journal of International Money and Finance, Elsevier, vol. 67(C), pages 194-214.

    Cited by:

    1. Theoplasti Kolaiti & Mwasi Mboya & Philipp Sibbertsen, 2020. "Volatility Transmission across Financial Markets: A Semiparametric Analysis," JRFM, MDPI, vol. 13(8), pages 1-13, July.
    2. Ashtiani, Amin Zokaei & Rieger, Marc Oliver & Stutz, David, 2021. "Nudging against panic selling: Making use of the IKEA effect," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).

  13. A. Stan Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2016. "A Smooth Transition Logit Model of The Effects of Deregulation in the Electricity Market," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(4), pages 707-733, June.
    See citations under working paper version above.
  14. Becker, R. & Clements, A.E. & Doolan, M.B. & Hurn, A.S., 2015. "Selecting volatility forecasting models for portfolio allocation purposes," International Journal of Forecasting, Elsevier, vol. 31(3), pages 849-861.

    Cited by:

    1. Bauwens, Luc & Xu, Yongdeng, 2023. "DCC- and DECO-HEAVY: Multivariate GARCH models based on realized variances and correlations," International Journal of Forecasting, Elsevier, vol. 39(2), pages 938-955.
    2. Carlos Trucíos & João H. G. Mazzeu & Marc Hallin & Luiz K. Hotta & Pedro L. Valls Pereira & Mauricio Zevallos, 2022. "Forecasting Conditional Covariance Matrices in High-Dimensional Time Series: A General Dynamic Factor Approach," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(1), pages 40-52, December.
    3. Helmut Lütkepohl & Thore Schlaak, 2017. "Choosing between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis," Discussion Papers of DIW Berlin 1672, DIW Berlin, German Institute for Economic Research.
    4. Ralf Becker & Adam Clements & Robert O'Neill, 2018. "A Multivariate Kernel Approach to Forecasting the Variance Covariance of Stock Market Returns," Econometrics, MDPI, vol. 6(1), pages 1-27, February.
    5. de Almeida, Daniel & Hotta, Luiz K. & Ruiz, Esther, 2018. "MGARCH models: Trade-off between feasibility and flexibility," International Journal of Forecasting, Elsevier, vol. 34(1), pages 45-63.
    6. Gaoxiu Qiao & Yangli Cao & Feng Ma & Weiping Li, 2023. "Liquidity and realized covariance forecasting: a hybrid method with model uncertainty," Empirical Economics, Springer, vol. 64(1), pages 437-463, January.
    7. Yaojie Zhang & Mengxi He & Yuqi Zhao & Xianfeng Hao, 2023. "Predicting stock realized variance based on an asymmetric robust regression approach," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1022-1047, October.
    8. Ronald Ravinesh Kumar & Peter Josef Stauvermann, 2022. "Portfolios under Different Methods and Scenarios: A Case of Fiji’s South Pacific Stock Exchange," JRFM, MDPI, vol. 15(12), pages 1-27, November.
    9. 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).
    10. Thomas Conlon & John Cotter & Iason Kynigakis, 2021. "Machine Learning and Factor-Based Portfolio Optimization," Working Papers 202111, Geary Institute, University College Dublin.
    11. R. Ferreira, Alexandre & A. P. Santos, Andre, 2016. "On the choice of covariance specifications for portfolio selection problems," MPRA Paper 73259, University Library of Munich, Germany.
    12. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2016. "Volatility Dependent Dynamic Equicorrelation," NCER Working Paper Series 111, National Centre for Econometric Research.
    13. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    14. 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).
    15. L. Bauwens & E. Otranto, 2018. "Nonlinearities and Regimes in Conditional Correlations with Different Dynamics," Working Paper CRENoS 201803, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    16. Trucíos, Carlos & Hotta, Luiz K. & Valls Pereira, Pedro L., 2019. "On the robustness of the principal volatility components," Journal of Empirical Finance, Elsevier, vol. 52(C), pages 201-219.
    17. João F. Caldeira & Guilherme V. Moura & Francisco J. Nogales & André A. P. Santos, 2017. "Combining Multivariate Volatility Forecasts: An Economic-Based Approach," Journal of Financial Econometrics, Oxford University Press, vol. 15(2), pages 247-285.
    18. Alessio Brini & Giacomo Toscano, 2024. "SpotV2Net: Multivariate Intraday Spot Volatility Forecasting via Vol-of-Vol-Informed Graph Attention Networks," Papers 2401.06249, arXiv.org.
    19. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    20. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
    21. Adam Clements & Ayesha Scott & Annastiina Silvennoinen, 2019. "Volatility-dependent correlations: further evidence of when, where and how," Empirical Economics, Springer, vol. 57(2), pages 505-540, August.
    22. Lu, Botao & Ma, Feng & Wang, Jiqian & Ding, Hui & Wahab, M.I.M., 2021. "Harnessing the decomposed realized measures for volatility forecasting: Evidence from the US stock market," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 672-689.

  15. Clements, A.E. & Hurn, A.S. & Volkov, V.V., 2015. "Volatility transmission in global financial markets," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 3-18.

    Cited by:

    1. Andreas Masuhr, 2017. "Volatility Transmission in Overlapping Trading Zones," CQE Working Papers 6717, Center for Quantitative Economics (CQE), University of Muenster.
    2. Abhinava Tripathi, 2021. "The Arrival of Information and Price Adjustment Across Extreme Quantiles: Global Evidence," IIM Kozhikode Society & Management Review, , vol. 10(1), pages 7-19, January.
    3. Del Brio, Esther B. & Mora-Valencia, Andrés & Perote, Javier, 2017. "The kidnapping of Europe: High-order moments' transmission between developed and emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 96-115.
    4. Conterius, Simeon & Akimov, Alexandr & Su, Jen-Je & Roca, Eduardo, 2023. "Do foreign investors have a positive impact on the domestic government bonds market? A panel pooled mean group approach," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 863-875.
    5. Gannon, Gerard L. & Thuraisamy, Kannan S., 2017. "Sovereign risk and the impact of crisis: Evidence from Latin AmericaAuthor-Name: Batten, Jonathan A," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 328-350.
    6. Jozef Barunik & Evzen Kocenda & Lukas Vacha, 2016. "Asymmetric volatility connectedness on forex markets," Papers 1607.08214, arXiv.org.
    7. Azimova, Tarana, 2022. "Modelling volatility transmission in regional Asian stock markets," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    8. Parhizgari, A.M. & Padungsaksawasdi, Chaiyuth, 2021. "Global equity market leadership positions through implied volatility measures," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 180-205.
    9. Rim Ammar Lamouchi & Ruba Khalid Shira, 2023. "Heterogeneous Behavior and Volatility Transmission in the Forex Market using High-Frequency Data," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-3.
    10. Leonardo Badea & Daniel Ştefan Armeanu & Iulian Panait & Ştefan Cristian Gherghina, 2019. "A Markov Regime Switching Approach towards Assessing Resilience of Romanian Collective Investment Undertakings," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    11. Sanjay Sehgal & Mala Dutt, 2016. "Domestic and international information linkages between NSE Nifty spot and futures markets: an empirical study for India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 43(3), pages 239-258, September.
    12. Luo, Jiawen & Wang, Shengquan, 2019. "The asymmetric high-frequency volatility transmission across international stock markets," Finance Research Letters, Elsevier, vol. 31(C), pages 104-109.
    13. Andreas Masuhr, 2019. "Big in Japan: Global Volatility Transmission between Assets and Trading Places," CQE Working Papers 8119, Center for Quantitative Economics (CQE), University of Muenster.
    14. Xu, Yongdeng & Taylor, Nick & Lu, Wenna, 2018. "Illiquidity and Volatility Spillover effects in Equity Markets during and after the Global Financial Crisis: an MEM approach," Cardiff Economics Working Papers E2018/6, Cardiff University, Cardiff Business School, Economics Section.
    15. Yarovaya, Larisa & Brzeszczyński, Janusz & Lau, Chi Keung Marco, 2017. "Asymmetry in spillover effects: Evidence for international stock index futures markets," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 94-111.
    16. Cao, Li & Jiang, Junhua & Piljak, Vanja, 2023. "Did mega-regional trade agreements reshuffle the financial influence of the US, China, and Japan in ASEAN? Evidence from the volatility-spillover effects," Research in International Business and Finance, Elsevier, vol. 65(C).
    17. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2022. "Dynamic volatility connectedness between thermal coal futures and major cryptocurrencies: Evidence from China," Energy Economics, Elsevier, vol. 112(C).
    18. Klaus Grobys & Sami Vähämaa, 2020. "Another look at value and momentum: volatility spillovers," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1459-1479, November.
    19. Balli, Faruk & de Bruin, Anne & Chowdhury, Md Iftekhar Hasan, 2019. "Spillovers and the determinants in Islamic equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).

  16. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.

    Cited by:

    1. Han, Lin & Kordzakhia, Nino & Trück, Stefan, 2020. "Volatility spillovers in Australian electricity markets," Energy Economics, Elsevier, vol. 90(C).
    2. Yan, Guan & Trück, Stefan, 2020. "A dynamic network analysis of spot electricity prices in the Australian national electricity market," Energy Economics, Elsevier, vol. 92(C).
    3. Fuentes, Fernanda & Herrera, Rodrigo & Clements, Adam, 2018. "Modeling extreme risks in commodities and commodity currencies," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 108-120.
    4. 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.
    5. Wong, Jin Boon & Zhang, Qin, 2022. "Impact of carbon tax on electricity prices and behaviour," Finance Research Letters, Elsevier, vol. 44(C).
    6. Apergis, Nicholas & Pan, Wei-Fong & Reade, James & Wang, Shixuan, 2023. "Modelling Australian electricity prices using indicator saturation," Energy Economics, Elsevier, vol. 120(C).
    7. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
    8. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    9. Galarneau-Vincent, Rémi & Gauthier, Geneviève & Godin, Frédéric, 2023. "Foreseeing the worst: Forecasting electricity DART spikes," Energy Economics, Elsevier, vol. 119(C).
    10. Hui Qu & Tianyang Wang & Peng Shangguan & Mengying He, 2024. "Revisiting the puzzle of jumps in volatility forecasting: The new insights of high‐frequency jump intensity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 218-251, February.
    11. Sirin, Selahattin Murat & Camadan, Ercument & Erten, Ibrahim Etem & Zhang, Alex Hongliang, 2023. "Market failure or politics? Understanding the motives behind regulatory actions to address surging electricity prices," Energy Policy, Elsevier, vol. 180(C).
    12. Cavaliere, Giuseppe & Lu, Ye & Rahbek, Anders & Stærk-Østergaard, Jacob, 2023. "Bootstrap inference for Hawkes and general point processes," Journal of Econometrics, Elsevier, vol. 235(1), pages 133-165.
    13. Mawuli Segnon & Chi Keung Lau & Bernd Wilfling & Rangan Gupta, 2017. "Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data," CQE Working Papers 6117, Center for Quantitative Economics (CQE), University of Muenster.
    14. Ulrich Horst & Wei Xu, 2019. "Functional Limit Theorems for Marked Hawkes Point Measures ," Working Papers hal-02443841, HAL.
    15. Pawel Maryniak & Stefan Trueck & Rafal Weron, 2016. "Carbon pricing, forward risk premiums and pass-through rates in Australian electricity futures markets," HSC Research Reports HSC/16/10, Hugo Steinhaus Center, Wroclaw University of Technology.
    16. Lu, Ye & Suthaharan, Neyavan, 2023. "Electricity price spike clustering: A zero-inflated GARX approach," Energy Economics, Elsevier, vol. 124(C).
    17. Godin, Frédéric & Ibrahim, Zinatu, 2021. "An analysis of electricity congestion price patterns in North America," Energy Economics, Elsevier, vol. 102(C).
    18. Wierzbowski, Michal & Filipiak, Izabela, 2017. "Enhanced operational reserve as a tool for development of optimal energy mix," Energy Policy, Elsevier, vol. 102(C), pages 602-615.
    19. Bigerna, Simona & Bollino, Carlo Andrea & Ciferri, Davide & Polinori, Paolo, 2017. "Renewables diffusion and contagion effect in Italian regional electricity markets: Assessment and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 199-211.
    20. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Value-at-risk methodologies for effective energy portfolio risk management," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 197-212.
    21. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.
    22. Maryniak, Paweł & Trück, Stefan & Weron, Rafał, 2019. "Carbon pricing and electricity markets — The case of the Australian Clean Energy Bill," Energy Economics, Elsevier, vol. 79(C), pages 45-58.
    23. Lu, Xin & Qiu, Jing & Lei, Gang & Zhu, Jianguo, 2022. "Scenarios modelling for forecasting day-ahead electricity prices: Case studies in Australia," Applied Energy, Elsevier, vol. 308(C).
    24. Marwan, Marwan, 2020. "The impact of probability of electricity price spike and outside temperature to define total expected cost for air conditioning," Energy, Elsevier, vol. 195(C).
    25. Nadja Klein & Michael Stanley Smith & David J. Nott, 2023. "Deep distributional time series models and the probabilistic forecasting of intraday electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 493-511, June.
    26. Horst, Ulrich & Xu, Wei, 2021. "Functional limit theorems for marked Hawkes point measures," Stochastic Processes and their Applications, Elsevier, vol. 134(C), pages 94-131.
    27. Nishio, Kazuki & Hoshino, Takahiro, 2022. "Joint modeling of effects of customer tier program on customer purchase duration and purchase amount," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    28. Sheybanivaziri, Samaneh & Le Dréau, Jérôme & Kazmi, Hussain, 2024. "Forecasting price spikes in day-ahead electricity markets: techniques, challenges, and the road ahead," Discussion Papers 2024/1, Norwegian School of Economics, Department of Business and Management Science.
    29. Hung Do & Rabindra Nepal & Russell Smyth, 2020. "Interconnectedness in the Australian national electricity market: A higher moment analysis," CAMA Working Papers 2020-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    30. Rodrigo Herrera & Adam Clements, 2020. "A marked point process model for intraday financial returns: modeling extreme risk," Empirical Economics, Springer, vol. 58(4), pages 1575-1601, April.
    31. Philip Protter & Qianfan Wu & Shihao Yang, 2021. "Order Book Queue Hawkes-Markovian Modeling," Papers 2107.09629, arXiv.org, revised Jan 2022.
    32. Nadja Klein & Michael Stanley Smith & David J. Nott, 2020. "Deep Distributional Time Series Models and the Probabilistic Forecasting of Intraday Electricity Prices," Papers 2010.01844, arXiv.org, revised May 2021.
    33. Nazifi, Fatemeh & Trück, Stefan & Zhu, Liangxu, 2021. "Carbon pass-through rates on spot electricity prices in Australia," Energy Economics, Elsevier, vol. 96(C).

  17. A. S. Hurn & K. A. Lindsay & A. J. McClelland, 2015. "Estimating the Parameters of Stochastic Volatility Models Using Option Price Data," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(4), pages 579-594, October.

    Cited by:

    1. Cui, Yiran & del Baño Rollin, Sebastian & Germano, Guido, 2017. "Full and fast calibration of the Heston stochastic volatility model," European Journal of Operational Research, Elsevier, vol. 263(2), pages 625-638.
    2. Steven Heston & Kris Jacobs & Hyung Joo Kim, 2023. "The Pricing Kernel in Options," Finance and Economics Discussion Series 2023-053, Board of Governors of the Federal Reserve System (U.S.).
    3. Brignone, Riccardo & Gonzato, Luca & Lütkebohmert, Eva, 2023. "Efficient Quasi-Bayesian Estimation of Affine Option Pricing Models Using Risk-Neutral Cumulants," Journal of Banking & Finance, Elsevier, vol. 148(C).
    4. Lorenzo Mercuri & Edit Rroji, 2018. "Option pricing in an exponential MixedTS Lévy process," Annals of Operations Research, Springer, vol. 260(1), pages 353-374, January.
    5. Zaineb Mezdoud & Carsten Hartmann & Mohamed Riad Remita & Omar Kebiri, 2021. "$\alpha$-Hypergeometric Uncertain Volatility Models and their Connection to 2BSDEs," Papers 2108.06965, arXiv.org.
    6. Aretz, Kevin & Eser Arisoy, Y., 2023. "The Pricing of Skewness Over Different Return Horizons," Journal of Banking & Finance, Elsevier, vol. 148(C).

  18. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.

    Cited by:

    1. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    2. Yan, Guan & Trück, Stefan, 2020. "A dynamic network analysis of spot electricity prices in the Australian national electricity market," Energy Economics, Elsevier, vol. 92(C).
    3. Giorgia Callegaro & Andrea Mazzoran & Carlo Sgarra, 2019. "A Self-Exciting Modelling Framework for Forward Prices in Power Markets," Papers 1910.13286, arXiv.org.
    4. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    5. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    6. A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.
    7. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    8. Lu, Ye & Suthaharan, Neyavan, 2023. "Electricity price spike clustering: A zero-inflated GARX approach," Energy Economics, Elsevier, vol. 124(C).
    9. Jiao, Ying & Ma, Chunhua & Scotti, Simone & Sgarra, Carlo, 2019. "A branching process approach to power markets," Energy Economics, Elsevier, vol. 79(C), pages 144-156.
    10. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.
    11. Pawel Maryniak & Rafal Weron, 2014. "Forecasting the occurrence of electricity price spikes in the UK power market," HSC Research Reports HSC/14/11, Hugo Steinhaus Center, Wroclaw University of Technology.
    12. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    13. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).

  19. Hurn, A.S. & Lindsay, K.A. & McClelland, A.J., 2013. "A quasi-maximum likelihood method for estimating the parameters of multivariate diffusions," Journal of Econometrics, Elsevier, vol. 172(1), pages 106-126.
    See citations under working paper version above.
  20. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.

    Cited by:

    1. Nowotarski, Jakub & Weron, Rafał, 2018. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
    2. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Bunn, Derek, 2016. "Weather and market specificities in the regional transmission of renewable energy price effects," Energy, Elsevier, vol. 114(C), pages 188-200.
    3. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    4. Eran Raviv & Kees E. Bouwman & Dick van Dijk, 2013. "Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices," Tinbergen Institute Discussion Papers 13-068/III, Tinbergen Institute.
    5. Florian Ziel & Rick Steinert & Sven Husmann, 2014. "Efficient Modeling and Forecasting of the Electricity Spot Price," Papers 1402.7027, arXiv.org, revised Oct 2014.
    6. Lynch, Muireann & Curtis, John, 2014. "The Effects of Wind Generation Capacity on Electricity Prices and Generation Costs: a Monte Carlo Analysis," Papers WP494, Economic and Social Research Institute (ESRI).
    7. 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.
    8. Michael Polson & Vadim Sokolov, 2018. "Deep Learning for Energy Markets," Papers 1808.05527, arXiv.org, revised Apr 2019.
    9. Eichler, M. & Grothe, O. & Manner, H. & Türk, D.D.T., 2012. "Modeling spike occurrences in electricity spot prices for forecasting," Research Memorandum 029, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    10. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
    11. Ziel, Florian & Steinert, Rick, 2016. "Electricity price forecasting using sale and purchase curves: The X-Model," Energy Economics, Elsevier, vol. 59(C), pages 435-454.
    12. Rangga Handika & Chi Truong & Stefan Trueck & Rafal Weron, 2014. "Modelling price spikes in electricity markets - the impact of load, weather and capacity," HSC Research Reports HSC/14/08, Hugo Steinhaus Center, Wroclaw University of Technology.
    13. Florian Ziel & Rick Steinert, 2015. "Electricity Price Forecasting using Sale and Purchase Curves: The X-Model," Papers 1509.00372, arXiv.org, revised Aug 2016.
    14. Pagnier, Laurent & Jacquod, Philippe, 2018. "How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid," Energy, Elsevier, vol. 157(C), pages 550-560.
    15. Grossi, Luigi & Nan, Fany, 2019. "Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 305-318.
    16. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    17. Lin Han & Ivor Cribben & Stefan Trueck, 2022. "Extremal Dependence in Australian Electricity Markets," Papers 2202.09970, arXiv.org.
    18. Lisi, Francesco & Nan, Fany, 2014. "Component estimation for electricity prices: Procedures and comparisons," Energy Economics, Elsevier, vol. 44(C), pages 143-159.
    19. Galarneau-Vincent, Rémi & Gauthier, Geneviève & Godin, Frédéric, 2023. "Foreseeing the worst: Forecasting electricity DART spikes," Energy Economics, Elsevier, vol. 119(C).
    20. Perera, Indeewara & Silvapulle, Mervyn J., 2021. "Bootstrap based probability forecasting in multiplicative error models," Journal of Econometrics, Elsevier, vol. 221(1), pages 1-24.
    21. Maciej Kostrzewski & Jadwiga Kostrzewska, 2021. "The Impact of Forecasting Jumps on Forecasting Electricity Prices," Energies, MDPI, vol. 14(2), pages 1-17, January.
    22. Machin Stephen & Vujić Sunčica & Marie Olivier, 2012. "Youth Crime and Education Expansion," German Economic Review, De Gruyter, vol. 13(4), pages 366-384, December.
    23. A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.
    24. Mawuli Segnon & Chi Keung Lau & Bernd Wilfling & Rangan Gupta, 2017. "Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data," CQE Working Papers 6117, Center for Quantitative Economics (CQE), University of Muenster.
    25. Luigi Grossi & Fany Nan, 2017. "Forecasting electricity prices through robust nonlinear models," Working Papers 06/2017, University of Verona, Department of Economics.
    26. Pawel Maryniak & Stefan Trueck & Rafal Weron, 2016. "Carbon pricing, forward risk premiums and pass-through rates in Australian electricity futures markets," HSC Research Reports HSC/16/10, Hugo Steinhaus Center, Wroclaw University of Technology.
    27. Hryshchuk, Antanina & Lessmann, Stefan, 2018. "Deregulated day-ahead electricity markets in Southeast Europe: Price forecasting and comparative structural analysis," IRTG 1792 Discussion Papers 2018-009, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    28. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.
    29. Ziel, Florian & Steinert, Rick & Husmann, Sven, 2015. "Efficient modeling and forecasting of electricity spot prices," Energy Economics, Elsevier, vol. 47(C), pages 98-111.
    30. Bikeri Adline & Kazushi Ikeda, 2023. "A Hawkes Model Approach to Modeling Price Spikes in the Japanese Electricity Market," Energies, MDPI, vol. 16(4), pages 1-20, February.
    31. Clements, A.E. & Hurn, A.S. & Li, Z., 2016. "Strategic bidding and rebidding in electricity markets," Energy Economics, Elsevier, vol. 59(C), pages 24-36.
    32. Stylianos Loizidis & Georgios Konstantinidis & Spyros Theocharides & Andreas Kyprianou & George E. Georghiou, 2023. "Electricity Day-Ahead Market Conditions and Their Effect on the Different Supervised Algorithms for Market Price Forecasting," Energies, MDPI, vol. 16(12), pages 1-29, June.
    33. Eichler, M. & Türk, D., 2013. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Energy Economics, Elsevier, vol. 36(C), pages 614-624.
    34. Marwan, Marwan, 2020. "The impact of probability of electricity price spike and outside temperature to define total expected cost for air conditioning," Energy, Elsevier, vol. 195(C).
    35. Daniel Manfre Jaimes & Manuel Zamudio López & Hamidreza Zareipour & Mike Quashie, 2023. "A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes," Forecasting, MDPI, vol. 5(3), pages 1-23, July.
    36. Pawel Maryniak & Rafal Weron, 2014. "Forecasting the occurrence of electricity price spikes in the UK power market," HSC Research Reports HSC/14/11, Hugo Steinhaus Center, Wroclaw University of Technology.
    37. Tafakori, Laleh & Pourkhanali, Armin & Fard, Farzad Alavi, 2018. "Forecasting spikes in electricity return innovations," Energy, Elsevier, vol. 150(C), pages 508-526.
    38. Ping Jiang & Feng Liu & Yiliao Song, 2016. "A Hybrid Multi-Step Model for Forecasting Day-Ahead Electricity Price Based on Optimization, Fuzzy Logic and Model Selection," Energies, MDPI, vol. 9(8), pages 1-27, August.
    39. Mira Watermeyer & Thomas Mobius & Oliver Grothe & Felix Musgens, 2023. "A hybrid model for day-ahead electricity price forecasting: Combining fundamental and stochastic modelling," Papers 2304.09336, arXiv.org.
    40. Sirin, Selahattin Murat & Erten, Ibrahim, 2022. "Price spikes, temporary price caps, and welfare effects of regulatory interventions on wholesale electricity markets," Energy Policy, Elsevier, vol. 163(C).
    41. Antonio Bello & Javier Reneses & Antonio Muñoz, 2016. "Medium-Term Probabilistic Forecasting of Extremely Low Prices in Electricity Markets: Application to the Spanish Case," Energies, MDPI, vol. 9(3), pages 1-27, March.
    42. Eichler, M. & Türk, D.D.T., 2012. "Fitting semiparametric Markov regime-switching models to electricity spot prices," Research Memorandum 035, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    43. Nadja Klein & Michael Stanley Smith & David J. Nott, 2023. "Deep distributional time series models and the probabilistic forecasting of intraday electricity prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 493-511, June.
    44. Ergemen, Yunus Emre & Haldrup, Niels & Rodríguez-Caballero, Carlos Vladimir, 2016. "Common long-range dependence in a panel of hourly Nord Pool electricity prices and loads," Energy Economics, Elsevier, vol. 60(C), pages 79-96.
    45. George P Papaioannou & Christos Dikaiakos & Anargyros Dramountanis & Dionysios S Georgiadis & Panagiotis G Papaioannou, 2017. "Using nonlinear stochastic and deterministic (chaotic tools) to test the EMH of two Electricity Markets the case of Italy and Greece," Papers 1711.10552, arXiv.org.
    46. Nishio, Kazuki & Hoshino, Takahiro, 2022. "Joint modeling of effects of customer tier program on customer purchase duration and purchase amount," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    47. Hagfors, Lars Ivar & Kamperud , Hilde Horthe & Paraschiv, Florentina & Prokopczuk, Marcel & Sator, Alma & Westgaard, Sjur, 2016. "Prediction of Extreme Price Occurrences in the German Day-ahead Electricity Market," Working Papers on Finance 1622, University of St. Gallen, School of Finance.
    48. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    49. Hung Do & Rabindra Nepal & Russell Smyth, 2020. "Interconnectedness in the Australian national electricity market: A higher moment analysis," CAMA Working Papers 2020-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    50. Stephen Haben & Julien Caudron & Jake Verma, 2021. "Probabilistic Day-Ahead Wholesale Price Forecast: A Case Study in Great Britain," Forecasting, MDPI, vol. 3(3), pages 1-37, August.
    51. Laurent Pagnier & Philippe Jacquod, 2017. "How fast can one overcome the paradox of the energy transition? A physico-economic model for the European power grid," Papers 1706.00330, arXiv.org, revised Jun 2018.
    52. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
    53. Jerzy Rembeza & Grzegorz Przekota, 2022. "Influence of the Industry’s Output on Electricity Prices: Comparison of the Nord Pool and HUPX Markets," Energies, MDPI, vol. 15(16), pages 1-15, August.
    54. Andersson, Jonas & Sheybanivaziri, Samaneh, 2023. "Probabilistic forecasting of electricity prices using an augmented LMARX-model," Discussion Papers 2023/11, Norwegian School of Economics, Department of Business and Management Science.
    55. Luigi Grossi & Fany Nan, 2018. "The influence of renewables on electricity price forecasting: a robust approach," Working Papers 2018/10, Institut d'Economia de Barcelona (IEB).
    56. Gunnar Bårdsen & Stan Hurn & Kenneth Lindsay, 2019. "Modelling and forecasting wind drought," Working Paper Series 18219, Department of Economics, Norwegian University of Science and Technology.
    57. Nazifi, Fatemeh & Trück, Stefan & Zhu, Liangxu, 2021. "Carbon pass-through rates on spot electricity prices in Australia," Energy Economics, Elsevier, vol. 96(C).

  21. Bårdsen Gunnar & Hurn Stanley & McHugh Zöe, 2012. "Asymmetric Unemployment Rate Dynamics in Australia," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(1), pages 1-22, January.
    See citations under working paper version above.
  22. Christensen Timothy & Hurn Stan & Pagan Adrian, 2011. "Detecting Common Dynamics in Transitory Components," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-28, February.
    See citations under working paper version above.
  23. Becker Ralf & Clements Adam E & Hurn Stan, 2011. "Semi-Parametric Forecasting of Realized Volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-23, May.

    Cited by:

    1. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    2. Ralf Becker & Adam Clements & Robert O'Neill, 2018. "A Multivariate Kernel Approach to Forecasting the Variance Covariance of Stock Market Returns," Econometrics, MDPI, vol. 6(1), pages 1-27, February.
    3. Ralf Becker & Adam Clements & Robert O'Neill, 2010. "A Kernel Technique for Forecasting the Variance-Covariance Matrix," NCER Working Paper Series 66, National Centre for Econometric Research.
    4. Adam Clements & Joanne Fuller, 2012. "Forecasting increases in the VIX: A time-varying long volatility hedge for equities," NCER Working Paper Series 88, National Centre for Econometric Research.
    5. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    6. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.

  24. Stan Hurn & Ralf Becker, 2009. "Testing for Nonlinearity in Mean in the Presence of Heteroskedasticity," Economic Analysis and Policy, Elsevier, vol. 39(2), pages 311-326, September.
    See citations under working paper version above.
  25. Timothy Christensen & Stan Hurn & Kenneth Lindsay, 2009. "It Never Rains but it Pours: Modeling the Persistence of Spikes in Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-48.
    See citations under working paper version above.
  26. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2008. "The Devil is in the Detail: Hints for Practical Optimisation," Economic Analysis and Policy, Elsevier, vol. 38(2), pages 345-368, September.
    See citations under working paper version above.
  27. Walter Enders & Stan Hurn, 2007. "Identifying aggregate demand and supply shocks in a small open economy," Oxford Economic Papers, Oxford University Press, vol. 59(3), pages 411-429, July.

    Cited by:

    1. Calvert Jump, Robert & Kohler, Karsten, 2022. "A history of aggregate demand and supply shocks for the United Kingdom, 1900 to 2016," Explorations in Economic History, Elsevier, vol. 85(C).
    2. Chandranath Amarasekara & George J. Bratsiotis, 2012. "Monetary policy and real wage cyclicality," Applied Economics, Taylor & Francis Journals, vol. 44(33), pages 4391-4408, November.
    3. Aspalter, Lisa, 2016. "Estimating Industry-level Armington Elasticities For EMU Countries," Department of Economics Working Paper Series 217, WU Vienna University of Economics and Business.
    4. Johannes W. Fedderke, 2021. "Identifying Supply and Demand Shocks in the South African Economy 19602020," Working Papers 11012, South African Reserve Bank.
    5. Ashima Goyal & Gagan Goel, 2021. "Correlated Shocks, Hysteresis, and the Sacrifice Ratio: Evidence from India," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(10), pages 2929-2945, August.
    6. Morakinyo Akinola & Muller Colette & Sibanda Mabutho, 2018. "Non-Performing Loans, Banking System and Macroeconomy," Studia Universitatis Babeș-Bolyai Oeconomica, Sciendo, vol. 63(2), pages 67-86, August.
    7. Anping Chen & Nicolaas Groenewold, 2019. "The effects of China’s growth slowdown on its provinces: Disentangling the sources," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1260-1279, December.
    8. Chen, Anping & Groenewold, Nicolaas, 2019. "China's ‘New Normal’: Is the growth slowdown demand- or supply-driven?," China Economic Review, Elsevier, vol. 58(C).
    9. Ashima Goyal & Sritama Ray, 2022. "Exploring correlations between aggregate demand and supply shocks in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-004, Indira Gandhi Institute of Development Research, Mumbai, India.
    10. Adriana AnaMaria DAVIDESCU, 2014. "Evaluating The Relationship Between Official Economy And Shadow Economy In Romania. A Structural Vector Autoregressive Approach," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 3(2), pages 57-65, DECEMBER.
    11. M. Huchet & Jean-Sébastien Pentecôte, 2008. "Growing too fast? Shock asymmetries and the Euro area enlargement," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 51(1), pages 33-56.
    12. Souki, Kaouthar, 2008. "Assessing the effects of U.S. shocks on the Canadian economy using alternative identification methods," The North American Journal of Economics and Finance, Elsevier, vol. 19(2), pages 193-213, August.
    13. Denis Larocque & Geneviève Lincourt & Michel Normandin, 2008. "Macroeconomic Effects of Terrorist Shocks in Israel," Cahiers de recherche 0820, CIRPEE.
    14. Hjelm, Göran & Jönsson, Kristian, 2010. "In Search of a Method for Measuring the Output Gap of the Swedish Economy," Working Papers 115, National Institute of Economic Research.
    15. Ngomba Bodi, Francis Ghislain, 2018. "Contributions relatives des chocs de demande agrégée et d’offre agrégée aux fluctuations de la croissance réelle en zone CEMAC [Relative contributions of aggregate demand and supply shocks to busin," MPRA Paper 116376, University Library of Munich, Germany.
    16. Hans Genberg & Pierre L. Siklos, 2009. "Revisiting the Shocking Aspects of Asian Monetary Unification," Working Papers 192009, Hong Kong Institute for Monetary Research.
    17. Cover, James P. & Mallick, Sushanta K., 2012. "Identifying sources of macroeconomic and exchange rate fluctuations in the UK," Journal of International Money and Finance, Elsevier, vol. 31(6), pages 1627-1648.

  28. Gunnar Bårdsen & Stan Hurn & Zoë Mchugh, 2007. "Modelling Wages and Prices in Australia," The Economic Record, The Economic Society of Australia, vol. 83(261), pages 143-158, June.
    See citations under working paper version above.
  29. Ralf Becker & Stan Hurn & Vlad Pavlov, 2007. "Modelling Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 83(263), pages 371-382, December.

    Cited by:

    1. Herrera, Rodrigo & González, Nicolás, 2014. "The modeling and forecasting of extreme events in electricity spot markets," International Journal of Forecasting, Elsevier, vol. 30(3), pages 477-490.
    2. Nowotarski, Jakub & Tomczyk, Jakub & Weron, Rafał, 2013. "Robust estimation and forecasting of the long-term seasonal component of electricity spot prices," Energy Economics, Elsevier, vol. 39(C), pages 13-27.
    3. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Meten & Yves Smeers, 2013. "Practical stochastic modelling of electricity prices," Post-Print hal-01021603, HAL.
    4. 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.
    5. Apergis, Nicholas & Pan, Wei-Fong & Reade, James & Wang, Shixuan, 2023. "Modelling Australian electricity prices using indicator saturation," Energy Economics, Elsevier, vol. 120(C).
    6. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
    7. Higgs, Helen, 2009. "Modelling price and volatility inter-relationships in the Australian wholesale spot electricity markets," Energy Economics, Elsevier, vol. 31(5), pages 748-756, September.
    8. Rangga Handika & Chi Truong & Stefan Trueck & Rafal Weron, 2014. "Modelling price spikes in electricity markets - the impact of load, weather and capacity," HSC Research Reports HSC/14/08, Hugo Steinhaus Center, Wroclaw University of Technology.
    9. Carlo Lucheroni, 2012. "A hybrid SETARX model for spikes in tight electricity markets," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 22(1), pages 13-49.
    10. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    11. Timothy Christensen & Stan Hurn & Kenneth Lindsay, 2009. "It Never Rains but it Pours: Modeling the Persistence of Spikes in Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-48.
    12. A.S. Hurn & Annastiina Silvennoinen & Timo Teräsvirta, 2014. "A Smooth Transition Logit Model of the Effects of Deregulation in the Electricity Market," CREATES Research Papers 2014-09, Department of Economics and Business Economics, Aarhus University.
    13. Lu, Ye & Suthaharan, Neyavan, 2023. "Electricity price spike clustering: A zero-inflated GARX approach," Energy Economics, Elsevier, vol. 124(C).
    14. Higgs, Helen & Lien, Gudbrand & Worthington, Andrew C., 2015. "Australian evidence on the role of interregional flows, production capacity, and generation mix in wholesale electricity prices and price volatility," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 172-181.
    15. Janczura, Joanna & Weron, Rafal, 2010. "An empirical comparison of alternate regime-switching models or electricity spot prices," MPRA Paper 20546, University Library of Munich, Germany.
    16. Gaurav Kapoor & Nuttanan Wichitaksorn & Wenjun Zhang, 2023. "Analyzing and forecasting electricity price using regime‐switching models: The case of New Zealand market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2011-2026, December.
    17. Pawel Maryniak & Rafal Weron, 2014. "Forecasting the occurrence of electricity price spikes in the UK power market," HSC Research Reports HSC/14/11, Hugo Steinhaus Center, Wroclaw University of Technology.
    18. Erdogdu, Erkan, 2016. "Asymmetric volatility in European day-ahead power markets: A comparative microeconomic analysis," Energy Economics, Elsevier, vol. 56(C), pages 398-409.
    19. Janczura, Joanna & Trueck, Stefan & Weron, Rafal & Wolff, Rodney, 2012. "Identifying spikes and seasonal components in electricity spot price data: A guide to robust modeling," MPRA Paper 39277, University Library of Munich, Germany.
    20. Antonio Bello & Javier Reneses & Antonio Muñoz, 2016. "Medium-Term Probabilistic Forecasting of Extremely Low Prices in Electricity Markets: Application to the Spanish Case," Energies, MDPI, vol. 9(3), pages 1-27, March.
    21. Volodymyr Korniichuk, 2012. "Forecasting extreme electricity spot prices," Cologne Graduate School Working Paper Series 03-14, Cologne Graduate School in Management, Economics and Social Sciences.
    22. Adam E. Clements & A. Stan Hurn & Zili Li, 2017. "The Effect of Transmission Constraints on Electricity Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    23. George P Papaioannou & Christos Dikaiakos & Anargyros Dramountanis & Dionysios S Georgiadis & Panagiotis G Papaioannou, 2017. "Using nonlinear stochastic and deterministic (chaotic tools) to test the EMH of two Electricity Markets the case of Italy and Greece," Papers 1711.10552, arXiv.org.
    24. Clements, A.E. & Herrera, R. & Hurn, A.S., 2015. "Modelling interregional links in electricity price spikes," Energy Economics, Elsevier, vol. 51(C), pages 383-393.
    25. Hung Do & Rabindra Nepal & Russell Smyth, 2020. "Interconnectedness in the Australian national electricity market: A higher moment analysis," CAMA Working Papers 2020-49, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    26. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
    27. Sergey Voronin & Jarmo Partanen, 2013. "Price Forecasting in the Day-Ahead Energy Market by an Iterative Method with Separate Normal Price and Price Spike Frameworks," Energies, MDPI, vol. 6(11), pages 1-24, November.
    28. Juan M. Gómez & Yeny E. Rodríguez, 2022. "Multiperiod Portfolio of Energy Purchasing Strategies including Climate Scenarios," Energies, MDPI, vol. 15(9), pages 1-25, April.
    29. Adam Clements & Joanne Fuller & Stan Hurn, 2013. "Semi-parametric Forecasting of Spikes in Electricity Prices," The Economic Record, The Economic Society of Australia, vol. 89(287), pages 508-521, December.
    30. Joanna Janczura, 2014. "Pricing electricity derivatives within a Markov regime-switching model: a risk premium approach," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 79(1), pages 1-30, February.
    31. Contreras, Javier & Rodríguez, Yeny E. & Sosa, Aníbal, 2017. "Construction of an efficient portfolio of power purchase decisions based on risk-diversification tradeoff," Energy Economics, Elsevier, vol. 64(C), pages 286-297.
    32. Lilian de Menezes & Melanie A. Houllier, 2013. "Modelling Germany´s Energy Transition and its Potential Effect on European Electricity Spot Markets," EcoMod2013 5395, EcoMod.
    33. Contreras, Javier & Rodríguez, Yeny E., 2014. "GARCH-based put option valuation to maximize benefit of wind investors," Applied Energy, Elsevier, vol. 136(C), pages 259-268.

  30. Hurn, Stan & Siklos, Pierre L., 2006. "Asset pricing puzzles in finance: Introduction," The North American Journal of Economics and Finance, Elsevier, vol. 17(2), pages 103-105, August.

    Cited by:

    1. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.

  31. Bårdsen Gunnar & Hurn Stan & Lindsay Kenneth A., 2004. "Linearizations and Equilibrium Correction Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(4), pages 1-9, December.

    Cited by:

    1. Dimitrios P Tsomocos & Gunnar Bardsen & Department of Economics & NTNUKjersti-Gro Lindquist & Norges Bank, 2006. "Evaluation of macroeconomic models for financial stability analysis," Economics Series Working Papers 2006-FE-01, University of Oxford, Department of Economics.
    2. Bårdsen, Gunnar & den Reijer, Ard & Jonasson, Patrik & Nymoen, Ragnar, 2012. "MOSES: Model for studying the economy of Sweden," Economic Modelling, Elsevier, vol. 29(6), pages 2566-2582.

  32. A. S. Hurn & K. A. Lindsay & V. L. Martin, 2003. "On the efficacy of simulated maximum likelihood for estimating the parameters of stochastic differential Equations," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(1), pages 45-63, January.

    Cited by:

    1. Isambi Mbalawata & Simo Särkkä & Heikki Haario, 2013. "Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering," Computational Statistics, Springer, vol. 28(3), pages 1195-1223, June.
    2. John Stachurski, 2005. "Computing the Distributions of Economic Models Via Simulation," Department of Economics - Working Papers Series 949, The University of Melbourne.
    3. Andrew D. Sanford & Gael Martin, 2004. "Bayesian Analysis of Continuous Time Models of the Australian Short Rate," Monash Econometrics and Business Statistics Working Papers 11/04, Monash University, Department of Econometrics and Business Statistics.
    4. Kristensen, Dennis & Shin, Yongseok, 2012. "Estimation of dynamic models with nonparametric simulated maximum likelihood," Journal of Econometrics, Elsevier, vol. 167(1), pages 76-94.
    5. Osnat Stramer & Jun Yan, 2007. "Asymptotics of an Efficient Monte Carlo Estimation for the Transition Density of Diffusion Processes," Methodology and Computing in Applied Probability, Springer, vol. 9(4), pages 483-496, December.
    6. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Teaching an old dog new tricks: Improved estimation of the parameters of SDEs by numerical solution of the Fokker-Planck equation," Stan Hurn Discussion Papers 2006-01, School of Economics and Finance, Queensland University of Technology.
    7. Siddhartha Chib & Michael K Pitt & Neil Shephard, 2004. "Likelihood based inference for diffusion driven models," Economics Papers 2004-W20, Economics Group, Nuffield College, University of Oxford.
    8. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations. Working paper #2," NCER Working Paper Series 2, National Centre for Econometric Research.
    9. Umberto Picchini & Andrea De Gaetano & Susanne Ditlevsen, 2010. "Stochastic Differential Mixed‐Effects Models," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 37(1), pages 67-90, March.
    10. A. Hurn & J. Jeisman & K. Lindsay, 2007. "Teaching an Old Dog New Tricks: Improved Estimation of the Parameters of Stochastic Differential Equations by Numerical Solution of the Fokker-Planck Equation," NCER Working Paper Series 9, National Centre for Econometric Research.
    11. J. Jimenez & R. Biscay & T. Ozaki, 2005. "Inference Methods for Discretely Observed Continuous-Time Stochastic Volatility Models: A Commented Overview," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 12(2), pages 109-141, June.
    12. Andrew D. Sanford & Gael M. Martin, 2006. "Bayesian comparison of several continuous time models of the Australian short rate," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(2), pages 309-326, June.
    13. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the wood for the trees: A critical evaluation of methods to estimate the parameters of stochastic differential equations," Stan Hurn Discussion Papers 2006, School of Economics and Finance, Queensland University of Technology.

  33. Stan Hurn & Vlad Pavlov, 2003. "Momentum in Australian Stock Returns," Australian Journal of Management, Australian School of Business, vol. 28(2), pages 141-155, September.

    Cited by:

    1. Karen L. Benson & David R. Gallagher & Patrick Teodorowski, 2007. "Momentum investing and the asset allocation decision," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 47(4), pages 571-598, December.
    2. Júlio Lobão & Marcos Azeredo, 2018. "Momentum meets value investing in a small European market," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 17(1), pages 45-58, March.
    3. Bradrania, Reza & Wu, Winston, 2023. "Foreign institutions, local investors and momentum trading," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 40-64.
    4. Ranjeeta Sadhwani & Mujeeb U Rehman Bhayo, 2019. "Momentum and Disposition Effect in the stock market of USA," Proceedings of Economics and Finance Conferences 8911340, International Institute of Social and Economic Sciences.
    5. Simarjeet Singh & Nidhi Walia, 2022. "Momentum investing: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 72(1), pages 87-113, February.
    6. Daniel Chai & Manapon Limkriangkrai & Philip Inyeob Ji, 2017. "Momentum in weekly returns: the role of intermediate-horizon past performance," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57, pages 45-68, April.
    7. Galariotis, Emilios C., 2010. "What should we know about momentum investing? The case of the Australian Security Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 18(4), pages 369-389, September.
    8. Zhong, Angel & Limkriangkrai, Manapon & Gray, Philip, 2014. "Anomalies, risk adjustment and seasonality: Australian evidence," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 207-218.
    9. Paul van Rensburg & Emile Janari, 2008. "Firm-specific characteristics and the cross-section of Australian stock exchange returns," Journal of Asset Management, Palgrave Macmillan, vol. 9(3), pages 193-214, September.
    10. Robert Faff & David R. Gallagher & Eliza Wu, 2005. "Tactical Asset Allocation: Australian Evidence," Australian Journal of Management, Australian School of Business, vol. 30(2), pages 261-282, December.
    11. Gallagher, David R. & Gardner, Peter & Swan, Peter L., 2009. "Portfolio pumping: An examination of investment manager quarter-end trading and impact on performance," Pacific-Basin Finance Journal, Elsevier, vol. 17(1), pages 1-27, January.
    12. Bettman, Jenni L. & Maher, Thomas R.B. & Sault, Stephen J., 2009. "Momentum profits in the Australian equity market: A matched firm approach," Pacific-Basin Finance Journal, Elsevier, vol. 17(5), pages 565-579, November.
    13. Gupta, Kartick & Locke, Stuart & Scrimgeour, Frank, 2010. "International comparison of returns from conventional, industrial and 52-week high momentum strategies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 423-435, October.
    14. Gharghori, Philip & Hamzah, Yusuf & Veeraraghavan, Madhu, 2010. "Migration and its contribution to the size and value premiums: Australian evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 177-196, April.
    15. Ashish Kumar Garg & Pankaj Varshney, 2015. "Momentum Effect in Indian Stock Market: A Sectoral Study," Global Business Review, International Management Institute, vol. 16(3), pages 494-510, June.
    16. Ron Bird & Xiaojun Gao & Danny Yeung, 2017. "Time-series and cross-sectional momentum strategies under alternative implementation strategies," Australian Journal of Management, Australian School of Business, vol. 42(2), pages 230-251, May.
    17. Emilios C. C Galariotis, 2010. "What should investors know about the stability of momentum investing and its riskiness? The case of the Australian Security Exchange," Post-Print hal-00917587, HAL.
    18. Heaney, Richard & Koh, SzeKee & Lan, Yihui, 2016. "Australian firm characteristics and the cross-section variation in equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 104-115.
    19. Minh Phuong Doan & Vitali Alexeev & Robert Brooks, 2016. "Concurrent momentum and contrarian strategies in the Australian stock market," Australian Journal of Management, Australian School of Business, vol. 41(1), pages 77-106, February.
    20. Jenni L. Bettman & Stephen J. Sault & Anna H. von Reibnitz, 2010. "The impact of liquidity and transaction costs on the 52-week high momentum strategy in Australia," Australian Journal of Management, Australian School of Business, vol. 35(3), pages 227-244, December.
    21. Gil Aharoni & Tuan Q. Ho & Qi Zeng, 2012. "Testing the growth option theory: the profitability of enhanced momentum strategies in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(2), pages 267-290, June.
    22. Robert J. Bianchi & Michael E. Drew & Timothy Whittaker, 2016. "The Predictive Performance of Asset Pricing Models: Evidence from the Australian Securities Exchange," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-18, December.
    23. Sam Trethewey & Timothy Falcon Crack, 2010. "Price momentum in the New Zealand stock market: a proper accounting for transactions costs and risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(4), pages 941-965, December.
    24. Hurst, Gareth & Docherty, Paul, 2015. "Trend salience, investor behaviours and momentum profitability," Pacific-Basin Finance Journal, Elsevier, vol. 35(PB), pages 471-484.
    25. Yeng May Tan & Fan Fah Cheng, 2019. "Industry- and liquidity-based momentum in Australian equities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-18, December.
    26. Paul Y Dou & David R Gallagher & David H Schneider, 2013. "Dissecting anomalies in the Australian stock market," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 353-373, August.
    27. Li, Bob & Stork, Thomas & Chai, Daniel & Ee, Mong Shan & Ang, Hong Nee, 2014. "Momentum effect in Australian equities: Revisit, armed with short-selling ban and risk factors," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 19-31.
    28. Bruce J. Vanstone & Tom Smith & Tobias Hahn, 2017. "Australian momentum: performance, capacity and the GFC effect," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(1), pages 261-287, March.
    29. Tariq Haque, 2009. "Switching Between the Banking and Metals and Mining Sectors of Australia," International Review of Finance, International Review of Finance Ltd., vol. 9(4), pages 387-403, December.
    30. Michael A. O’Brien & Tim Brailsford & Clive Gaunt, 2010. "Interaction of size, book‐to‐market and momentum effects in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 50(1), pages 197-219, March.
    31. Tan Yeng May & Cheng Fan Fah & Taufiq Hassan, 2018. "Impacts of Ownership Concentration and Liquidity on Stock Momentum Profitability in Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 14(1), pages 57-81.
    32. Supriya Maheshwari & Raj S. Dhankar, 2017. "The Effect of Global Crises on Momentum Profitability: Evidence from the Indian Stock Market," Vision, , vol. 21(1), pages 1-12, March.
    33. Daniel Chai & Binh Do, 2016. "Co-existence of short-term reversals and momentum in the Australian equity market," Australian Journal of Management, Australian School of Business, vol. 41(1), pages 55-76, February.
    34. Teri Lombardi Yohn, 2020. "Research on the use of financial statement information for forecasting profitability," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 3163-3181, September.
    35. Thanh D Huynh & Daniel R Smith, 2017. "Delisted stocks and momentum: Evidence from a new Australian dataset," Australian Journal of Management, Australian School of Business, vol. 42(1), pages 140-160, February.
    36. Gilna K. Samuel & Donald St. P. Richards, 2018. "A Probabilistic Analysis of Autocallable Optimization Securities," Papers 1804.00825, arXiv.org.
    37. Supriya Maheshwari & Raj S. Dhankar, 2017. "Profitability of Volume-based Momentum and Contrarian Strategies in the Indian Stock Market," Global Business Review, International Management Institute, vol. 18(4), pages 974-992, August.
    38. Nick Inglis & Bruce Vanstone & Tobias Hahn, 2019. "Modelling momentum winner/loser asymmetry: the sources of winner and loser returns in the ASX200 and S&P500," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(S1), pages 657-684, April.
    39. Zhang, Xinyue & Bissoondoyal-Bheenick, Emawtee & Zhong, Angel, 2023. "Investor sentiment and stock market anomalies in Australia," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 284-303.
    40. Angel Zhong, 2022. "Institutional trading in stock market anomalies in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 893-930, March.
    41. A. S. Hurn & V.Pavlov, 2008. "Momentum in Australian Stock Returns: An Update," NCER Working Paper Series 23, National Centre for Econometric Research, revised 26 Feb 2008.

  34. James Forder & Stan Hurn, 2003. "Dollar‐Deutschemark Polarisation: Comparing The Pound And Franc," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(3), pages 217-231, August.

    Cited by:

    1. Eichengreen, Barry & Naef, Alain, 2022. "Imported or home grown? The 1992–3 EMS crisis," Journal of International Economics, Elsevier, vol. 138(C).

  35. Clements A. & Hurn S. & Lindsay K., 2003. "Mobius-Like Mappings and Their Use in Kernel Density Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 993-1000, January.

    Cited by:

    1. Catalina Bolance & Montserrat Guillen & David Pitt, 2014. "Non-parametric Models for Univariate Claim Severity Distributions - an approach using R," Working Papers 2014-01, Universitat de Barcelona, UB Riskcenter.
    2. David Pitt & Montserrat Guillén, 2010. "An introduction to parametric and non-parametric models for bivariate positive insurance claim severity distributions," Working Papers XREAP2010-03, Xarxa de Referència en Economia Aplicada (XREAP), revised Mar 2010.
    3. María Luz Gámiz & Enno Mammen & María Dolores Martínez Miranda & Jens Perch Nielsen, 2016. "Double one-sided cross-validation of local linear hazards," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(4), pages 755-779, September.
    4. Tine Buch-Kromann & Jens Nielsen, 2012. "Multivariate density estimation using dimension reducing information and tail flattening transformations for truncated or censored data," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(1), pages 167-192, February.
    5. Bolancé, Catalina & Guillén, Montserrat & Nielsen, Jens Perch, 2008. "Inverse beta transformation in kernel density estimation," Statistics & Probability Letters, Elsevier, vol. 78(13), pages 1757-1764, September.
    6. Buch-Kromann, Tine & Guillén, Montserrat & Linton, Oliver & Nielsen, Jens Perch, 2011. "Multivariate density estimation using dimension reducing information and tail flattening transformations," Insurance: Mathematics and Economics, Elsevier, vol. 48(1), pages 99-110, January.
    7. David Pitt & Montserrat Guillen & Catalina Bolancé, 2011. "Estimation of Parametric and Nonparametric Models for Univariate Claim Severity Distributions - an approach using R," Working Papers XREAP2011-06, Xarxa de Referència en Economia Aplicada (XREAP), revised Jun 2011.

  36. A. S. Hurn & K. A. Lindsay, 2002. "On the Specification of the Drift and Diffusion Functions for Continuous‐time Models of the Spot Interest Rate," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(5), pages 547-564, December.

    Cited by:

    1. Becker, R. & Hurn, A.S., 2004. "Using discrete-time techniques to test continuous-time models for nonlinearity in drift," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 121-131.
    2. Kristensen, Dennis, 2004. "A semiparametric single-factor model of the term structure," LSE Research Online Documents on Economics 24741, London School of Economics and Political Science, LSE Library.

  37. Enders, Walter & Hurn, Stan, 2002. "Asymmetric price adjustment and the Phillips curve," Journal of Macroeconomics, Elsevier, vol. 24(3), pages 395-412, September.

    Cited by:

    1. Nasr, Adnen Ben & Balcilar, Mehmet & Ajmi, Ahdi N. & Aye, Goodness C. & Gupta, Rangan & van Eyden, Reneé, 2015. "Causality between inflation and inflation uncertainty in South Africa: Evidence from a Markov-switching vector autoregressive model," Emerging Markets Review, Elsevier, vol. 24(C), pages 46-68.
    2. Alvaro Aguiar & Manuel Martins, 2005. "Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area," Empirical Economics, Springer, vol. 30(3), pages 665-691, October.
    3. Ho, Sin-Yu & Njindan Iyke, Bernard, 2018. "Unemployment and Inflation: Evidence of a Nonlinear Phillips Curve in the Eurozone," MPRA Paper 87122, University Library of Munich, Germany.
    4. Mehmet Balcilar & Zeynel Abidin Ozdemir, 2013. "Asymmetric and Time-Varying Causality between Inflation and Inflation Uncertainty in G-7 Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 60(1), pages 1-42, February.
    5. Zhang, Lingxiang, 2013. "Modeling China's inflation dynamics: An MRSTAR approach," Economic Modelling, Elsevier, vol. 31(C), pages 440-446.
    6. Phiri, Andrew, 2015. "Examining asymmetric effects in the South African Philips curve: Evidence from logistic smooth transition regression (LSTR) models," MPRA Paper 64487, University Library of Munich, Germany.

  38. Yoram Amiel & John Creedy & Stan Hurn, 1999. "Measuring Attitudes Towards Inequality," Scandinavian Journal of Economics, Wiley Blackwell, vol. 101(1), pages 83-96, March.

    Cited by:

    1. Ashantha Ranasinghe & Xuejuan Su, 2023. "When social assistance meets market power: A mixed duopoly view of health insurance in the United States," Economic Inquiry, Western Economic Association International, vol. 61(4), pages 851-869, October.
    2. Carlsson, Fredrik & Daruvala, Dinky & Johansson-Stenman, Olof, 2001. "Are People Inequality Averse Or Just Risk Averse?," Working Papers in Economics 43, University of Gothenburg, Department of Economics.
    3. Vincenzo Atella & Jay Coggins & Federico Perali, 2004. "Aversion to inequality in Italy and its determinants," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 2(2), pages 117-144, August.
    4. Anthony B. Atkinson & Andrea Brandolini, 2010. "On Analyzing the World Distribution of Income," The World Bank Economic Review, World Bank, vol. 24(1), pages 1-37, January.
    5. Gary W. Yohe & Richard S.J. Tol, 2007. "The Stern Review: A Deconstruction," Working Papers FNU-125, Research unit Sustainability and Global Change, Hamburg University, revised Feb 2007.
    6. Kjell Erik Lommerud & Bjørn Sandvik & Odd Rune Straume, 2004. "Good Jobs, Bad Jobs and Redistribution," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(4), pages 703-720, December.
    7. John Creedy & Norman Gemmell & Nicolas Hérault & Penny Mok, 2020. "A microsimulation analysis of marginal welfare-improving income tax reforms for New Zealand," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 27(2), pages 409-434, April.
    8. Olivier Bargain & Amedeo Spadaro, 2008. "Optimal Taxation, Social Contract and the Four Worlds of Welfare Capitalism," Working Papers 200816, School of Economics, University College Dublin.
    9. Marco De Pinto, 2015. "The Redistribution of Trade Gains When Income Inequality Matters," Economies, MDPI, vol. 3(4), pages 1-30, October.
    10. Kuhn, Andreas, 2011. "In the eye of the beholder: Subjective inequality measures and individuals' assessment of market justice," European Journal of Political Economy, Elsevier, vol. 27(4), pages 625-641.
    11. Creedy, John, 2014. "Interpreting Inequality Measures and Changes in Inequality," Working Paper Series 18846, Victoria University of Wellington, Chair in Public Finance.
    12. Michel Lubrano, 2008. "The Redistributive Aspects of ELIE: a simulationapproach," Working Papers halshs-00347278, HAL.
    13. Camacho Cuena, Eva & Neugebauer, Tibor & Seidl, Christian, 2004. "Leaky bucket Paradoxes in income inequality perceptions: an experimental investigation," Economics Working Papers 2004-04, Christian-Albrechts-University of Kiel, Department of Economics.
    14. Rafael Salas & Juan Rodríguez, 2013. "Popular support for social evaluation functions," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(4), pages 985-1014, April.
    15. Cropper, Maureen & Krupnick, Alan & Raich, William, 2016. "Preferences for Equality in Environmental Outcomes," RFF Working Paper Series dp-16-36, Resources for the Future.
    16. Nicola Frignani & Giovanni Ponti, 2011. "Social vs. risk preferences under the veil of ignorance," Working Papers. Serie AD 2011-07, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    17. Creedy, John, 2021. "Comparing Income Distributions Using Atkinson’s Measure of Inequality," Working Paper Series 21114, Victoria University of Wellington, Chair in Public Finance.
    18. Creedy, John & Gemmell, Norman & Hérault, Nicolas & Mok, Penny, 2018. "Microsimulation Analysis of Optimal Income Tax Reforms. An Application to New Zealand," Working Paper Series 20834, Victoria University of Wellington, Chair in Public Finance.
    19. John Creedy, 2005. "An In‐Work Payment with an Hours Threshold: Labour Supply and Social Welfare," The Economic Record, The Economic Society of Australia, vol. 81(255), pages 367-377, December.
    20. John Creedy & Solmaz Moslehi, 2010. "The Optimal Division Of Government Expenditure Between Public Goods And Transfer Payments," Australian Economic Papers, Wiley Blackwell, vol. 49(2), pages 87-100, June.
    21. Aristei, David & Perugini, Cristiano, 2010. "Preferences for redistribution and inequality in well-being across Europe," Journal of Policy Modeling, Elsevier, vol. 32(2), pages 176-195, March.
    22. Jake Guth & David Munro, 2020. "Preferences for efficiency and redistribution: An experiment using charitable donations," Economics Bulletin, AccessEcon, vol. 40(3), pages 2217-2226.
    23. Antonio Abatemarco, 2017. "Evaluating Economic Mobility under Opportunity Egalitarianism," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(12), pages 260-277, December.
    24. Raymundo M. Campos-Vazquez & Alice Krozer & Aurora A. Ramírez-Álvarez & Rodolfo de la Torre & Roberto Velez-Grajales, 2020. "Perceptions of Inequality and Social Mobility in Mexico," Working Paper 9517731e-dacf-4fae-8cd1-5, Agence française de développement.
    25. Hong, Hao & Ding, Jianfeng & Yao, Yang, 2015. "Individual social welfare preferences: An experimental study," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 89-97.
    26. Asaria, Miqdad & Costa-Font, Joan & Cowell, Frank A., 2021. "How Does Exposure to COVID-19 Influence Health and Income Inequality Aversion?," IZA Discussion Papers 14103, Institute of Labor Economics (IZA).
    27. Keigo Kameda & Miho Sato, 2017. "Distributional preference in Japan," The Japanese Economic Review, Japanese Economic Association, vol. 68(3), pages 394-408, September.
    28. Akbulut, Hale & Seçilmiş, Erdem, 2019. "Estimation of a social discount rate for Turkey," Socio-Economic Planning Sciences, Elsevier, vol. 67(C), pages 78-85.
    29. Olof Johansson-Stenman & Fredrik Carlsson & Dinky Daruvala, 2002. "Measuring Future Grandparents" Preferences for Equality and Relative Standing," Economic Journal, Royal Economic Society, vol. 112(479), pages 362-383, April.
    30. Johansson-Stenman, Olof & Carlsson, Fredrik & Daruvala, Dinky, 2001. "Measuring Hypothetical Grandparents Preferences For Equality And Relative Standings," Working Papers in Economics 42, University of Gothenburg, Department of Economics.
    31. Richard S.J. Tol, 2009. "International inequity aversion and the social cost of carbon," Working Papers FNU-178, Research unit Sustainability and Global Change, Hamburg University, revised Nov 2009.
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    34. Santiago Burone & Martin Leites, 2021. "Self-centered and non-self-centered inequality aversion matter: Evidence from Uruguay based on an experimental survey," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 19(2), pages 265-291, June.
    35. Enza Simeone, 2024. "Assessing the effect of the COVID-19 pandemic on wellbeing: a comparison between CBA and SWF approaches for policies evaluation," Working Papers 662, ECINEQ, Society for the Study of Economic Inequality.
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    38. Burton, Michael P., 2002. "A Fair Go: Attitudes towards equity in natural resource management in WA," 2002 Conference (46th), February 13-15, 2002, Canberra, Australia 173977, Australian Agricultural and Resource Economics Society.
    39. Tol, Richard S. J., 2008. "The Economic Impact of Climate Change," Papers WP255, Economic and Social Research Institute (ESRI).
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    41. Jay S. Coggins & Federico Perali, 2000. "Voting For Equity: Estimating Society'S Preferences Toward Inequality," CHILD Working Papers wp04_00, CHILD - Centre for Household, Income, Labour and Demographic economics - ITALY.
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    43. Olivier Bargain & Mathias Dolls & Dirk Neumann & Andreas Peichl & Sebastian Siegloch, 2014. "Comparing inequality aversion across countries when labor supply responses differ," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(5), pages 845-873, October.
    44. Sotomayor, Orlando J., 2021. "Can the minimum wage reduce poverty and inequality in the developing world? Evidence from Brazil," World Development, Elsevier, vol. 138(C).
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    47. Gruen, Carola & Klasen, Stephan, 2012. "Has transition improved well-being?," Economic Systems, Elsevier, vol. 36(1), pages 11-30.
    48. Ignacio Abásolo & Aki Tsuchiya, 2013. "Inequality and Risk Aversion in Health and Income: An Empirical Analysis Using Hypothetical Scenarios with Losses," Working Papers 2013005, The University of Sheffield, Department of Economics.
    49. Orlando Sotomayor, 2019. "Growth with reduction in poverty and inequality: did Brazil show the way?," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(4), pages 521-541, December.
    50. Lambert, Peter J. & Millimet, Daniel L. & Slottje, Daniel, 2003. "Inequality aversion and the natural rate of subjective inequality," Journal of Public Economics, Elsevier, vol. 87(5-6), pages 1061-1090, May.
    51. Benjamin B. Lockwood & Matthew Weinzierl, 2014. "Positive and Normative Judgments Implicit in U.S. Tax Policy, and the Costs of Unequal Growth and Recessions," Harvard Business School Working Papers 14-119, Harvard Business School, revised Oct 2014.
    52. Stephan Klasen, 2008. "The Efficiency of Equity," Review of Political Economy, Taylor & Francis Journals, vol. 20(2), pages 257-274.
    53. Bosmans, K.G.M., 2012. "Distribution-sensitivity of rank-dependent poverty measures," Research Memorandum 034, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    54. Traub, Stefan & Seidl, Christian & Schmidt, Ulrich, 2003. "Lorenz, Pareto, Pigou: Who Scores Best? Experimental Evidence on Dominance Relations of Income Distributions," Economics Working Papers 2003-04, Christian-Albrechts-University of Kiel, Department of Economics.
    55. Claudio A. Agostini & Philip H. Brown, 2010. "Inequality at Low Levels of Aggregation in Chile," Review of Development Economics, Wiley Blackwell, vol. 14(2), pages 213-226, May.
    56. John Creedy & Shuyun May Li & Solmaz Moslehi, 2009. "Inequality Aversion and the Optimal Composition of Government Expenditure," Department of Economics - Working Papers Series 1086, The University of Melbourne.
    57. John Creedy & Rosanna Scutella, 2004. "The Role of the Unit of Analysis in Tax Policy Return Evaluations of Inequality and Social Welfare," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 7(1), pages 89-108, March.
    58. Brice Magdalou & Dimitri Dubois & Phu Nguyen-Van, 2009. "Risk and Inequality Aversion in Social Dilemmas," Working Papers 09-02, LAMETA, Universtiy of Montpellier, revised Mar 2009.
    59. Glenn Sheriff & Kelly B. Maguire, 2020. "Health Risk, Inequality Indexes, and Environmental Justice," Risk Analysis, John Wiley & Sons, vol. 40(12), pages 2661-2674, December.
    60. Malakhov, Sergey, 2014. "Money flexibility, price elasticity, and elasticity of marginal utility of consumption," MPRA Paper 55928, University Library of Munich, Germany.
    61. John Creedy & Ross Guest, 2008. "Discounting and the Time Preference Rate," The Economic Record, The Economic Society of Australia, vol. 84(264), pages 109-127, March.
    62. John Creedy & S. Subramanian, 2023. "Exploring A New Class of Inequality Measures and Associated Value Judgements: Gini and Fibonacci-Type Sequences," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 110-131, May.
    63. F. Carlsson & G. Gupta & O. Johansson-Stenman, 2003. "Choosing from behind a veil of ignorance in India," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 825-827.
    64. Amedeo Spadaro, 2008. "Optimal taxation, social contract and the four worlds of welfare capitalism," Working Papers 98, ECINEQ, Society for the Study of Economic Inequality.
    65. Erin T. Mansur & Glenn Sheriff, 2019. "Do Pollution Markets Harm Low Income and Minority Communities? Ranking Emissions Distributions Generated by California's RECLAIM Program," NBER Working Papers 25666, National Bureau of Economic Research, Inc.
    66. John Creedy, 2007. "Policy Evaluation, welfare weights and value judgements: a Reminder," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 10(1), pages 1-15.
    67. John Creedy & Rosanna Scutella, 2003. "The Role of the Unit of Analysis in Tax Policy Reform Evaluations," Melbourne Institute Working Paper Series wp2003n28, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    68. Granja, Cintia Denise & Carneiro, Ana Maria, 2021. "Attitudes towards inequality in Brazil: An analysis of a highly unequal country," MERIT Working Papers 2021-009, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    69. John Creedy & Nicolas Herault, 2009. "Optimal Marginal Income Tax Reforms: A Microsimulation Analysis," Department of Economics - Working Papers Series 1080, The University of Melbourne.
    70. Stanislaw Maciej Kot & Piotr Paradowski, 2022. "The Atlas of Inequality Aversion: Theory and Empirical Evidence from the Luxembourg Income Study Database," LIS Working papers 826, LIS Cross-National Data Center in Luxembourg.
    71. Balafoutas, Loukas & Kocher, Martin G. & Putterman, Louis & Sutter, Matthias, 2013. "Equality, equity and incentives: An experiment," European Economic Review, Elsevier, vol. 60(C), pages 32-51.
    72. Takashi Oshio & Miki Kobayashi, 2011. "Area-Level Income Inequality and Individual Happiness: Evidence from Japan," Journal of Happiness Studies, Springer, vol. 12(4), pages 633-649, August.
    73. Stanislaw Maciej Kot & Piotr R. Paradowski, 2022. "The atlas of inequality aversion: theory and empirical evidence on 55 countries from the Luxembourg Income Study database," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(2), pages 261-316, June.
    74. Dietrich, Stephan & Malerba, Daniele & Barrientos, Armando & Gassmann, Franziska, 2017. "Rates of return to antipoverty transfers in Uganda," MERIT Working Papers 2017-040, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    75. Claudio Agostini & Phillip Brown, 2007. "Desigualdad geográfica en Chile," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 22(1), pages 3-33, June.
    76. Markus Tepe & Fabian Paetzel & Jan Lorenz & Maximilian Lutz, 2021. "Efficiency loss and support for income redistribution: Evidence from a laboratory experiment," Rationality and Society, , vol. 33(3), pages 313-340, August.
    77. John Creedy, 2004. "The Effects on New Zealand Households of an Increase in The Petrol Excise Tax," Treasury Working Paper Series 04/01, New Zealand Treasury.
    78. Luisa Tibiletti & S. Subramanian, 2015. "Inequality Aversion and the Extended Gini in the Light of a Two-person Cake-sharing Problem," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 16(2), pages 237-244, May.
    79. Hurley, Jeremiah & Mentzakis, Emmanouil & Walli-Attaei, Marjan, 2020. "Inequality aversion in income, health, and income-related health," Journal of Health Economics, Elsevier, vol. 70(C).
    80. Zheng, Buhong, 2000. "Minimum Distribution-Sensitivity, Poverty Aversion, and Poverty Orderings," Journal of Economic Theory, Elsevier, vol. 95(1), pages 116-137, November.
    81. Oshio, Takashi & Kobayashi, Miki, 2009. "Income inequality, area-level poverty, perceived aversion to inequality, and self-rated health in Japan," Social Science & Medicine, Elsevier, vol. 69(3), pages 317-326, August.
    82. Cowell, Frank A. & Schokkaert, Erik, 2001. "Risk perceptions and distributional judgments," European Economic Review, Elsevier, vol. 45(4-6), pages 941-952, May.
    83. Gemmell, Norman, 2021. "Economic Lessons for Tax Policy Advisers," Working Paper Series 21109, Victoria University of Wellington, Chair in Public Finance.
    84. Massimo Florio & Emanuela Sirtori, 2013. "The social cost of capital: recent estimates for the EU countries," Working Papers 201303, CSIL Centre for Industrial Studies.
    85. Rafael Salas & Juan Gabriel Rodríguez, 2010. "Popular support for egalitarian social welfare," Working Papers 171, ECINEQ, Society for the Study of Economic Inequality.
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    87. Armando Barrientos & Stephan Dietrich & Franziska Gassmann & Daniele Malerba, 2022. "Prioritarian rates of return to antipoverty transfers," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(3), pages 550-563, April.
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    89. John Creedy, 2006. "Evaluating Policy: Welfare Weights And Value Judgements," Department of Economics - Working Papers Series 971, The University of Melbourne.
    90. Weinreich, Daniel, 2013. "The perception of distributive fairness and optimal taxation under uncertainty," MPRA Paper 48912, University Library of Munich, Germany.

  39. Hurn, A.S. & Lindsay, K.A., 1999. "Estimating the parameters of stochastic differential equations," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 373-384.

    Cited by:

    1. Isambi Mbalawata & Simo Särkkä & Heikki Haario, 2013. "Parameter estimation in stochastic differential equations with Markov chain Monte Carlo and non-linear Kalman filtering," Computational Statistics, Springer, vol. 28(3), pages 1195-1223, June.
    2. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Teaching an old dog new tricks: Improved estimation of the parameters of SDEs by numerical solution of the Fokker-Planck equation," Stan Hurn Discussion Papers 2006-01, School of Economics and Finance, Queensland University of Technology.
    3. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations. Working paper #2," NCER Working Paper Series 2, National Centre for Econometric Research.
    4. A. Hurn & J. Jeisman & K. Lindsay, 2007. "Teaching an Old Dog New Tricks: Improved Estimation of the Parameters of Stochastic Differential Equations by Numerical Solution of the Fokker-Planck Equation," NCER Working Paper Series 9, National Centre for Econometric Research.
    5. Michael W. Brandt & Pedro Santa-Clara, 2001. "Simulated Likelihood Estimation of Diffusions with an Application to Exchange Rate Dynamics in Incomplete Markets," NBER Technical Working Papers 0274, National Bureau of Economic Research, Inc.
    6. Stan Hurn & J.Jeisman & K.A. Lindsay, 2006. "Seeing the wood for the trees: A critical evaluation of methods to estimate the parameters of stochastic differential equations," Stan Hurn Discussion Papers 2006, School of Economics and Finance, Queensland University of Technology.
    7. Tang, Sanyi & Heron, Elizabeth A., 2008. "Bayesian inference for a stochastic logistic model with switching points," Ecological Modelling, Elsevier, vol. 219(1), pages 153-169.

  40. Stan Hurn, A. & Lindsay, K.A., 1997. "Estimating the parameters of stochastic differential equations by Monte Carlo methods," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 495-501.
    See citations under working paper version above.
  41. Enders, Walter & Hurn, Stan, 1997. "Common trends and generalized purchasing power parity," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 437-443.

    Cited by:

    1. EPHREM HABTEMICHAEL REDDA & Paul-Francious Muzindusti, 2017. "Does SADC constitute an optimum currency area? Evidence from generalised purchasing power parity," Proceedings of Economics and Finance Conferences 4807771, International Institute of Social and Economic Sciences.
    2. Sergio Da Silva & Leandro Stocco & J. Anchieta Neves, 2008. "Is Mercosur an optimum currency area? An assessment using generalized purchasing power parity," Economics Bulletin, AccessEcon, vol. 6(29), pages 1-13.
    3. Gilles De Truchis & Benjamin Keddad, 2013. "Southeast Asian monetary integration: New evidences from fractional cointegration of real exchange rates," Post-Print hal-01498261, HAL.
    4. Changmo AHN & Hong‐Bum KIM & Dongkoo CHANG, 2006. "Is East Asia Fit For An Optimum Currency Area? An Assessment Of The Economic Feasibility Of A Higher Degree Of Monetary Cooperation In East Asia," The Developing Economies, Institute of Developing Economies, vol. 44(3), pages 288-305, September.
    5. Shu-Chen Chang, 2008. "Asymmetric cointegration relationship among Asian exchange rates," Economic Change and Restructuring, Springer, vol. 41(2), pages 125-141, June.
    6. Ephrem Habtemichael Redda & Paul-Francois Muzindutsi, 2021. "Monetary Union Feasibility in the East African Community: Evidence from GPPP," International Journal of Economics and Financial Issues, Econjournals, vol. 11(6), pages 9-16.
    7. Taufiq Choudhry, 2005. "Asian Currency Crisis and the Generalized PPP: Evidence from the Far East," Asian Economic Journal, East Asian Economic Association, vol. 19(2), pages 137-157, June.
    8. Neves, J. Anchieta & Stocco, Leandro & Da Silva, Sergio, 2007. "Is Mercosur an optimum currency area?," MPRA Paper 2758, University Library of Munich, Germany.

  42. Hurn, A S & Muscatelli, V A, 1996. "Modelling the Demand for M4 in the U.K," The Manchester School of Economic & Social Studies, University of Manchester, vol. 64(1), pages 70-78, March.

    Cited by:

    1. Barlow, David, 2023. "The stability of UK households Divisia money balances," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 451-459.
    2. Howells, Peter & Hussein, Khaled, 1997. "The demand for money: Total transactions as the scale variable," Economics Letters, Elsevier, vol. 55(3), pages 371-377, September.

  43. Hurn, A S & McDonald, A D & Moody, T, 1995. "In Search of Time-Varying Term Premia in the London Interbank Market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 42(2), pages 152-164, May.

    Cited by:

    1. Stilianos Fountas & Menelaos Karanasos & Marika Karanassou, 2000. "A GARCH Model of Inflation and Inflation Uncertainty with Simultaneous Feedback," Working Papers 414, Queen Mary University of London, School of Economics and Finance.
    2. Ahrens, Ralf, 1999. "Improving market-based forecasts of short-term interest rates: Time-varying stationarity and the predictive content of switching regime-expectations," CFS Working Paper Series 1999/14, Center for Financial Studies (CFS).

  44. Hurn, A Stan & Moody, Terry & Muscatelli, V Anton, 1995. "The Term Structure of Interest Rates in the London Interbank Market," Oxford Economic Papers, Oxford University Press, vol. 47(3), pages 419-436, July.

    Cited by:

    1. Jelena Zubkova, 2003. "Interest Rate Term Structure in Latvia in the Monetary Policy Context," Working Papers 2003/03, Latvijas Banka.
    2. Pawel Milobedzki, 2010. "The Term Structure of the Polish Interbank Rates. A Note on the Symmetry of their Reversion to the Mean," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 10, pages 81-95.
    3. Jondeau, E. & Sedillot, F., 1998. "La prevision des taux longs français et allemands a partir d'un modele a anticipations rationnelles," Working papers 55, Banque de France.
    4. Silva Lopes, Artur C. B. da & Monteiro, Olga Susana, 2008. "Short and long run tests of the expectations hypothesis: the Portuguese case," MPRA Paper 12001, University Library of Munich, Germany.
    5. S. Lardic & V. Mignon, 2002. "Fractional cointegration and term structure of interest rates," THEMA Working Papers 2002-28, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Mark Holmes & Jesus Otero & Theodore Panagiotidis, 2015. "The Expectations Hypothesis and Decoupling of Short- and Long-Term US Interest Rates: A Pairwise Approach," Working Paper series 15-31, Rimini Centre for Economic Analysis.
    7. Benjamin Miranda Tabak & Sandro Canesso de Andrade, 2001. "Testing the Expectations Hypothesis in the Brazilian Term Structure of Interest Rates," Working Papers Series 30, Central Bank of Brazil, Research Department.
    8. Sandrine Lardic & Valérie Mignon, 2004. "Fractional cointegration and the term structure," Empirical Economics, Springer, vol. 29(4), pages 723-736, December.
    9. Vidal Fernadez Montoro, 2001. "Expectations and Behaviour of the Spanish Treasury Bill Rates Patterns in Neighboring Areas," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 5(1), pages 61-83, Summer.
    10. Keith Cuthbertson & Don Bredin, 2000. "The Expectations Hypothesis of the Term Structure - The Case of Ireland," The Economic and Social Review, Economic and Social Studies, vol. 31(3), pages 267-281.
    11. Sichei, Moses Muse & Tiriongo, Samuel & Shimba, Chris, 2012. "Segmentation and efficiency of the interbank market in Kenya," KBA Centre for Research on Financial Markets and Policy Working Paper Series 1, Kenya Bankers Association (KBA).
    12. Anastasios Demertzidis & Vahidin Jeleskovic, 2021. "Empirical Estimation of Intraday Yield Curves on the Italian Interbank Credit Market e-MID," JRFM, MDPI, vol. 14(5), pages 1-23, May.
    13. Jondeau, E. & Ricart, R., 1997. "La théorie des anticipations de la structure par terme : test à partir des titres publics français," Working papers 45, Banque de France.
    14. Cuthbertson, Keith & Hayes, Simon & Nitzsche, Dirk, 2000. "Are German money market rates well behaved?," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 347-360, March.
    15. Pawel Milobedzki, 2012. "The Expectations Hypothesis of the Term Structure of LIBOR US Dollar Interest Rates," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 5-18.
    16. Benjamin Tabak, 2009. "Testing the expectations hypothesis in the Brazilian term structure of interest rates: a cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 41(21), pages 2681-2689.
    17. Silva Lopes, Artur C. & Monteiro, Olga Susana, 2007. "The Expectations Hypothesis of the Term Structure: Some Empirical Evidence for Portugal," MPRA Paper 6310, University Library of Munich, Germany, revised 14 Dec 2007.
    18. Petko Kalev & Brett Inder, 2006. "The information content of the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 38(1), pages 33-45.
    19. Éric Jondeau, 2001. "La théorie des anticipations de la structure par terme permet-elle de rendre compte de l'évolution des taux d'intérêt sur euro-devise ?," Annals of Economics and Statistics, GENES, issue 62, pages 139-174.
    20. M. Isabel Martínez-Serna & Eliseo Navarro-Arribas, 2002. "El modelo de McCallum. Evidencia empírica en la estructura temporal de los tipos de interés española," Investigaciones Economicas, Fundación SEPI, vol. 26(2), pages 323-357, May.
    21. Brooks, Chris & Rew, Alistair G., 2002. "Testing for non-stationarity and cointegration allowing for the possibility of a structural break: an application to EuroSterling interest rates," Economic Modelling, Elsevier, vol. 19(1), pages 65-90, January.
    22. Bruno Ducoudre, 2008. "Structure par terme des taux d’intérêt et anticipations de la politique économique," Sciences Po publications info:hdl:2441/5221, Sciences Po.
    23. Jacob Oduor & Moses Muse Sichei & Samuel Kiplangat Tiriongo & Chris Shimba, 2014. "Working Paper 202 - Segmentation and efficiency of the interbank market and their implication for the conduct of monetary policy," Working Paper Series 2106, African Development Bank.
    24. Jondeau, Eric & Ricart, Roland, 1999. "The expectations hypothesis of the term structure: tests on US, German, French, and UK Euro-rates," Journal of International Money and Finance, Elsevier, vol. 18(5), pages 725-750, October.
    25. Bredin, Don, 2001. "Alternative Tests of the Expectations Hypothesis of the Term Structure of Interest Rates," Research Technical Papers 2/RT/01, Central Bank of Ireland.
    26. Musti, Silvana & D'Ecclesia, Rita Laura, 2008. "Term structure of interest rates and the expectation hypothesis: The euro area," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1596-1606, March.

  45. Enders, Walter & Hurn, Stan, 1994. "Theory and Tests of Generalized Purchasing-Power Parity: Common Trends and Real Exchange Rates in the Pacific Rim," Review of International Economics, Wiley Blackwell, vol. 2(2), pages 179-190, June.

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    1. Stephen McKnight & Marco Robles Sánchez, 2014. "Is a monetary union feasible for Latin America? Evidence from real effective exchange rates and interest rate pass-through levels," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 29(2), pages 225-262.
    2. Lee, Minsoo & Nziramasanga, Mudziviri & Ahn, Sung K., 2002. "The real exchange rate: an alternative approach to the PPP puzzle," Journal of Policy Modeling, Elsevier, vol. 24(6), pages 533-538, October.
    3. Thomas Kigabo RUSUHUZWA & Paul Robert MASSON, 2012. "Design and Implementation of a Common Currency Area in the East African Community," Working Papers tecipa-451, University of Toronto, Department of Economics.
    4. Mogaji, Peter Kehinde, 2019. "Validity Assessments of International Parity in the ‘Ecozone’: Implications for Monetary Models of Exchange Rate Determination," MPRA Paper 98945, University Library of Munich, Germany.
    5. KAWASAKI Kentaro & WANG Zhiqian, 2015. "Is Economic Development Promoting Monetary Integration in East Asia?," Discussion papers 15052, Research Institute of Economy, Trade and Industry (RIETI).
    6. Daniele Antonucci & Alessandro Girardi, 2005. "Structural changes and deviations from the PPP within the Euro Area," ISAE Working Papers 57, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    7. Guglielmo Maria Caporale & Luis Gil‐Alana, 2020. "Prospects for a Monetary Union in the East Africa Community: Some Empirical Evidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(2), pages 174-185, June.
    8. KAWASAKI Kentaro & SATO Kiyotaka, 2020. "New Assessment of Economic Integration in East Asia: Application of Industry-Specific G-PPP Model," Discussion papers 20091, Research Institute of Economy, Trade and Industry (RIETI).
    9. Hiroyuki Taguchi, 2010. "Feasibility of Currency Unions in Asia - An Assessment Using Generalized Purchasing Power Parity -," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 6(5), pages 859-872, June.
    10. Agbutun Shedrach Adzugbele & Afamefuna Angus Eze & Ejimofor Morba & Nnebuihe Ihechi Nwokocha, 2020. "Exchange Rate and Unemployment in Nigeria: An ARDL Approach," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 6(3), pages 53-58, September.
    11. Mishra, Ritesh Kumar & Sharma, Chandan, 2010. "Real exchange rate behavior and optimum currency area in East Asia: Evidence from Generalized Purchasing Power Parity," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 205-213, June.
    12. Ishaq Maryam & Atiq Ur Rehman Muhammad, 2013. "Surmounting the Individual: Establishing a Common Currency in Asia – A Case Study of East Asian Economies," Global Economy Journal, De Gruyter, vol. 13(1), pages 63-88, January.
    13. Adu, Raymond & Litsios, Ioannis & Baimbridge, Mark, 2019. "Real exchange rate and asymmetric shocks in the West African Monetary Zone (WAMZ)," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 232-249.
    14. Yau, Hwey-Yun & Nieh, Chien-Chung, 2006. "Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate," Journal of Asian Economics, Elsevier, vol. 17(3), pages 535-552, June.
    15. Eiji Ogawa & Kentaro Kawasaki, 2006. "Adopting a common currency basket arrangement into the 'ASEAN plus three'," Discussion papers 06028, Research Institute of Economy, Trade and Industry (RIETI).
    16. Dimitrios Sideris, 2009. "Optimum Currency Areas Structural Changes and the Endogeneity of the OCA Criteria: Evidence from Six New EU Member States," Working Papers 99, Bank of Greece.
    17. Onyeaka, Keleenna & Agbugba, Ikechi Kelechi & Iheonu, Chimere Okechukwu, . "Ditch the NAIRA and Champion the ECO? A Post-Forex Crisis Assessment," Journal of Economic and Sustainable Growth 3, Office Of The Chief Economist, Development Bank of Nigeria, vol. 1.
    18. Kentaro Kawasaki & Eiji Ogawa, 2006. "What Should the Weights of the Three Major Currencies be in a Common Currency Basket in East Asia?," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 75-94, March.
    19. Habimana, Olivier, 2018. "Asymmetry and Multiscale Dynamics in Macroeconomic Time Series Analysis," MPRA Paper 87823, University Library of Munich, Germany.
    20. Sergio Da Silva & Leandro Stocco & J. Anchieta Neves, 2008. "Is Mercosur an optimum currency area? An assessment using generalized purchasing power parity," Economics Bulletin, AccessEcon, vol. 6(29), pages 1-13.
    21. Gilles De Truchis & Benjamin Keddad, 2013. "Southeast Asian monetary integration: New evidences from fractional cointegration of real exchange rates," Post-Print hal-01498261, HAL.
    22. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2008. "Fiscal Shocks and Real Exchange Rate Dynamics: Some Evidence for Latin America," CESifo Working Paper Series 2228, CESifo.
    23. Guglielmo Maria Caporale & Davide Ciferri & Alessandro Girardi, 2011. "Are The Baltic Countries Ready To Adopt The Euro? A Generalized Purchasing Power Parity Approach," Manchester School, University of Manchester, vol. 79(3), pages 429-454, June.
    24. David Bernstein, 2000. "Generalized purchasing power parity and the case of the European Union as a successful currency area," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 28(4), pages 385-395, December.
    25. Changmo AHN & Hong‐Bum KIM & Dongkoo CHANG, 2006. "Is East Asia Fit For An Optimum Currency Area? An Assessment Of The Economic Feasibility Of A Higher Degree Of Monetary Cooperation In East Asia," The Developing Economies, Institute of Developing Economies, vol. 44(3), pages 288-305, September.
    26. Md. Abdur Rahman Forhad, 2014. "How many currencies in Saarc countries? a multivariate structural var approach," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(4), pages 265-286, October-D.
    27. Poomthan Rangkakulnuwat & Sung Ahn & Holly Wang & Susan He, 2010. "Extended generalized purchasing power parity and optimum currency area in East Asian countries," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 497-513.
    28. Peter Wilson & Keen Meng Choy, 2006. "Prospects For Enhanced Exchange Rate Cooperation In East Asia : Some Preliminary Findings From Generalized Ppp Theory," Macroeconomics Working Papers 22585, East Asian Bureau of Economic Research.
    29. Marinakis, Yorgos D. & White, Reilly & Walsh, Steven T., 2020. "Lotka–Volterra signals in ASEAN currency exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    30. KAWASAKI Kentaro, 2013. "How Does the Regional Monetary Unit Work as a Surveillance Tool in East Asia?," Discussion papers 13026, Research Institute of Economy, Trade and Industry (RIETI).
    31. Minsoo Lee, 2003. "Common Trend and Common Currency: Australiaand New Zealand," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 2(2), pages 155-165, August.
    32. Jacquelynne Mclellan & Debasish Chakraborty, 1997. "Another look at long-run purchasing power parity using Sims tests for unit roots," Applied Economics Letters, Taylor & Francis Journals, vol. 4(8), pages 473-476.
    33. Ben Abdesslem, Amel, 2013. "L’union monétaire des pays du Conseil de coopération du golfe : viabilité et perspectives d’avenir," L'Actualité Economique, Société Canadienne de Science Economique, vol. 89(3), pages 191-206, Septembre.
    34. Mohsen Bahmani‐Oskooee & Scott W. Hegerty, 2009. "Purchasing Power Parity In Less‐Developed And Transition Economies: A Review Paper," Journal of Economic Surveys, Wiley Blackwell, vol. 23(4), pages 617-658, September.
    35. D. Ventosa-Santaulària, 2009. "Spurious Regression," Journal of Probability and Statistics, Hindawi, vol. 2009, pages 1-27, August.
    36. Neves, J. Anchieta & Stocco, Leandro & Da Silva, Sergio, 2007. "Is Mercosur an optimum currency area?," MPRA Paper 2758, University Library of Munich, Germany.
    37. Mkenda, Beatrice Kalinda, 2001. "Is East Africa an Optimum Currency Area?," Working Papers in Economics 41, University of Gothenburg, Department of Economics.
    38. Yau, Hwey-Yun & Nieh, Chien-Chung, 2009. "Testing for cointegration with threshold effect between stock prices and exchange rates in Japan and Taiwan," Japan and the World Economy, Elsevier, vol. 21(3), pages 292-300, August.

  46. Hurn, A S & Wright, Robert E, 1994. "Geology or Economics? Testing Models of Irreversible Investment Using North Sea Oil Data," Economic Journal, Royal Economic Society, vol. 104(423), pages 363-371, March.

    Cited by:

    1. Christopher F. Baum & Mustafa Caglayan & Oleksandr Talavera, 2006. "On the Sensitivity of Firms' Investment to Cash Flow and Uncertainty," Boston College Working Papers in Economics 638, Boston College Department of Economics, revised 26 Apr 2008.
    2. Laarni Bulan & Christopher Mayer & C. Tsuriel Somerville, "undated". "Irreversible Investment, Real Options, and Competition: Evidence from Real Estate Development," Zell/Lurie Center Working Papers 391, Wharton School Samuel Zell and Robert Lurie Real Estate Center, University of Pennsylvania.
    3. Alan Carruth & Andy Dickerson & Andrew Henley, 2000. "What do We Know About Investment Under Uncertainty?," Journal of Economic Surveys, Wiley Blackwell, vol. 14(2), pages 119-154, April.
    4. Paola Conconi & André Sapir & Maurizio Zanardi, 2010. "The internationalization process of firms : From exports to FDI ?," Working Paper Research 198, National Bank of Belgium.
    5. Lips, Johannes, 2018. "Debt and the Oil Industry - Analysis on the Firm and Production Level," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181504, Verein für Socialpolitik / German Economic Association.
    6. Lucija Muehlenbachs, 2015. "A Dynamic Model Of Cleanup: Estimating Sunk Costs In Oil And Gas Production," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(1), pages 155-185, February.
    7. Ahmadi, Maryam & Manera, Matteo & Sadeghzadeh, Mehdi, 2018. "Investment-Uncertainty Relationship in the Oil and Gas Industry," ETA: Economic Theory and Applications 273141, Fondazione Eni Enrico Mattei (FEEM).
    8. Jean-Pierre Ponssard & Catherine Thomas, 2010. "Capacity Investment under Demand Uncertainty. An Empirical Study of the US Cement Industry, 1994‐2006," Working Papers hal-00511563, HAL.
    9. Plogmann, Jana & Mußhoff, Oliver & Odening, Martin & Ritter, Matthias, 2022. "Farmland sales under returns and price uncertainty," Economic Modelling, Elsevier, vol. 117(C).
    10. Henley, Andrew, 2009. "Switching Costs and Occupational Transition into Self-Employment," IZA Discussion Papers 3969, Institute of Labor Economics (IZA).
    11. Mohn, Klaus & Osmundsen, Petter, 2008. "Asymmetry and uncertainty in capital formation: An application to oil investment," UiS Working Papers in Economics and Finance 2009/13, University of Stavanger.
    12. Berntsen, Martin & Bøe, Kristine Skjong & Jordal, Therese & Molnár, Peter, 2018. "Determinants of oil and gas investments on the Norwegian Continental Shelf," Energy, Elsevier, vol. 148(C), pages 904-914.
    13. Lin, C.-Y. Cynthia, 2007. "The Multi-Stage Investment Timing Game in Offshore Petroleum Production: Preliminary results from an econometric model," Institute of Transportation Studies, Working Paper Series qt70t9n2r3, Institute of Transportation Studies, UC Davis.
    14. Odening, Martin & Musshoff, Oliver & Huettel, Silke, 2003. "Empirische Validierung von Realoptionsmodellen," Working Paper Series 18825, Humboldt University Berlin, Department of Agricultural Economics.
    15. Timothy Dunne & Xiaoyi Mu, 2010. "Investment Spikes And Uncertainty In The Petroleum Refining Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 190-213, March.
    16. Carlo Altomonte & Enrico Pennings, 2004. "The Hazard Rate of Foreign Direct Investment: A Structural Estimation of a Real Option Model," Working Papers 259, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    17. Jin, Xin, 2019. "The role of market expectations in commodity price dynamics: Evidence from oil data," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 1-18.
    18. Lin, C.-Y. Cynthia & Leighty, Wayne, 2007. "Government Leasing Policy and the Multi-Stage Investment Timing Game in Offshore Petroleum Production," Institute of Transportation Studies, Working Paper Series qt1rj6v4df, Institute of Transportation Studies, UC Davis.
    19. Knaut, Andreas & Madlener, Reinhard & Rosen, Christiane & Vogt, Christian, 2012. "Effects of Temperature Uncertainty on the Valuation of Geothermal Projects: A Real Options Approach," FCN Working Papers 11/2012, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    20. Jens, Candace E., 2017. "Political uncertainty and investment: Causal evidence from U.S. gubernatorial elections," Journal of Financial Economics, Elsevier, vol. 124(3), pages 563-579.
    21. Lin, C.Y. Cynthia, 2009. "Do Firms Interact Strategically?," Working Papers 225896, University of California, Davis, Department of Agricultural and Resource Economics.
    22. Davis, Graham A. & Cairns, Robert D., 2012. "Good timing: The economics of optimal stopping," Journal of Economic Dynamics and Control, Elsevier, vol. 36(2), pages 255-265.
    23. Laarni T. Bulan, 2005. "Real options, irreversible investment and firm uncertainty: New evidence from U.S. firms," Review of Financial Economics, John Wiley & Sons, vol. 14(3-4), pages 255-279.
    24. Marmer, Vadim & Slade, Margaret E., 2018. "Investment and uncertainty with time to build: Evidence from entry into U.S. copper mining," Journal of Economic Dynamics and Control, Elsevier, vol. 95(C), pages 233-254.
    25. Bøe, Kristine S. & Jordal, Therese & Mikula, Štepán & Molnár, Peter, 2019. "Do political risks harm development of oil fields?," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 338-358.
    26. Christopher F. Baum & Mustafa Caglayan & Oleksandr Talavera, 2006. "Firm Investment and Financial Frictions," Discussion Papers of DIW Berlin 634, DIW Berlin, German Institute for Economic Research.
    27. Jérôme Bourdieu & Benoît Coeuré & Béatrice Sédillot, 1997. "Investissement, incertitude et irréversibilité. Quelques développements récents de la théorie de l'investissement," Revue Économique, Programme National Persée, vol. 48(1), pages 23-53.
    28. Muehlenbachs, Lucija, 2012. "Testing for Avoidance of Environmental Obligations," RFF Working Paper Series dp-12-12, Resources for the Future.
    29. Bulan, Laarni T., 2005. "Real options, irreversible investment and firm uncertainty: New evidence from U.S. firms," Review of Financial Economics, Elsevier, vol. 14(3-4), pages 255-279.
    30. Li, Yong & James, Barclay & Madhavan, Ravi & Mahoney, Joseph T., 2006. "Real Options: Taking Stock and Looking Ahead," Working Papers 06-0114, University of Illinois at Urbana-Champaign, College of Business.
    31. Jackson Dorsey, 2019. "Waiting for the Courts: Effects of Policy Uncertainty on Pollution and Investment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1453-1496, December.
    32. Johannes Mauritzen, 2017. "The Effect of Oil Prices on Field Production: Evidence from the Norwegian Continental Shelf," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 124-144, February.
    33. Mohn, Klaus & Misund, Bård, 2008. "Shifting sentiments in Firm Investment: An Application to the Oil Industry," UiS Working Papers in Economics and Finance 2009/12, University of Stavanger.
    34. Mark J. Koetse & Henri L.F. de Groot & Raymond J.G.M. Florax, 2006. "The Impact of Uncertainty on Investment: A Meta-Analysis," Tinbergen Institute Discussion Papers 06-060/3, Tinbergen Institute.
    35. Edson Vengesai & Farai Kwenda, 2018. "Cash Flow Volatility and Firm Investment Behaviour: Evidence from African Listed Firms," Journal of Economics and Behavioral Studies, AMH International, vol. 10(6), pages 129-149.
    36. Mohn, Klaus & Misund, Bård, 2009. "Investment and uncertainty in the international oil and gas industry," Energy Economics, Elsevier, vol. 31(2), pages 240-248, March.

  47. Muscatelli, Vito Antonio & Hurn, A Stan, 1992. "Cointegration and Dynamic Time Series Models," Journal of Economic Surveys, Wiley Blackwell, vol. 6(1), pages 1-43.

    Cited by:

    1. Kalyvitis, Sarantis C., 1997. "Evaluating the real effects of devaluation expectations in Greece under alternative policies," Economic Modelling, Elsevier, vol. 14(2), pages 215-236, April.
    2. Jacobson, Tor & Ohlsson, Henry, 1994. "Long-Run Relations between Private and Public Sector Wages in Sweden," Empirical Economics, Springer, vol. 19(3), pages 343-360.
    3. Muscatelli, V. Anton & Spinelli, Franco, 2000. "The long-run stability of the demand for money: Italy 1861-1996," Journal of Monetary Economics, Elsevier, vol. 45(3), pages 717-739, June.
    4. Ivars Tillers, 2004. "Money Demand in Latvia," Working Papers 2004/03, Latvijas Banka.
    5. Ariel A. Barraud & Author-Name: Ariel A. Barraud, 2011. "Exploring trade flows between MERCOSUR and the EU: what does an export demand function tell us?," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 2, pages 1-1, December.
    6. Powers, Nicholas J., 1994. "Vertical Pricing Relationships for Lettuce," Technical Bulletins 156765, United States Department of Agriculture, Economic Research Service.
    7. Murthy, N. R. Vasudeva & Phillips, Joseph M., 1996. "The relationship between budget deficits and capital inflows: Further econometric evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 485-494.
    8. Bewley, R. & Yang, M., 1993. "Testing for Cointegration: The Effects of Mis-Specifying the Lag Length," Papers 93-18, New South Wales - School of Economics.
    9. West, L.k. & Agbola, W.F., 2005. "Causality Links Between Asset Prices And Cash Rate In Australia," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(3), pages 69-86.
    10. Erkin Bairam & Lawrence Ng, 2001. "Thirlwall's Law and the Stability of Export and Import Income Elasticities," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(3), pages 287-303.
    11. Takala, Kari, 1995. "The consumption function revisited: an error-correction model for Finnish consumption," Bank of Finland Research Discussion Papers 20/1995, Bank of Finland.
    12. Hurn, A Stan & Moody, Terry & Muscatelli, V Anton, 1995. "The Term Structure of Interest Rates in the London Interbank Market," Oxford Economic Papers, Oxford University Press, vol. 47(3), pages 419-436, July.
    13. Tang, Chor Foon, 2011. "Tourism, real output and real effective exchange rate in Malaysia: a view from rolling sub-samples," MPRA Paper 29379, University Library of Munich, Germany.
    14. David Grreasley, 2010. "Cliometrics and Time Series Econometrics: Some Theory and Applications," Working Papers in Economics 10/56, University of Canterbury, Department of Economics and Finance.
    15. Hansen, Paul & King, Alan, 1996. "The determinants of health care expenditure: A cointegration approach," Journal of Health Economics, Elsevier, vol. 15(1), pages 127-137, February.
    16. Caroline Elliott, 2001. "A Cointegration Analysis of Advertising and Sales Data," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 18(4), pages 417-426, June.
    17. Garcia-Ferrer, Antonio & Queralt, Ricardo A., 1997. "A note on forecasting international tourism demand in Spain," International Journal of Forecasting, Elsevier, vol. 13(4), pages 539-549, December.
    18. L. Di Matteo & R. Di Matteo, 2005. "Does testing for prostate-specific antigen contribute to declining prostate cancer mortality?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 6(4), pages 298-308, December.
    19. Hansen, Paul & King, Alan, 1998. "Health care expenditure and GDP: panel data unit root test results--comment," Journal of Health Economics, Elsevier, vol. 17(3), pages 377-381, June.
    20. Masih, Abul M. M. & Masih, Rumi, 1996. "Energy consumption, real income and temporal causality: results from a multi-country study based on cointegration and error-correction modelling techniques," Energy Economics, Elsevier, vol. 18(3), pages 165-183, July.
    21. Masih, Rumi & Masih, Abul M. M., 2000. "A Reassessment of Long-Run Elasticities of Japanese Import Demand," Journal of Policy Modeling, Elsevier, vol. 22(5), pages 625-639, September.
    22. Param Silvapulle & Sisira Jayasuriya, 1994. "Testing For Philippines Rice Market Integration: A Multiple Cointegration Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(3), pages 369-380, September.
    23. Di Matteo, Livio & Di Matteo, Rosanna, 1998. "Evidence on the determinants of Canadian provincial government health expenditures: 1965-1991," Journal of Health Economics, Elsevier, vol. 17(2), pages 211-228, April.
    24. Chiang, Thomas C. & Kim, Doseong, 2000. "Short-term eurocurrency rate behavior and specifications of cointegrating processes," International Review of Economics & Finance, Elsevier, vol. 9(2), pages 157-179.
    25. Tang, Chor Foon & Tan, Bee Wah, 2014. "A revalidation of the savings–growth nexus in Pakistan," Economic Modelling, Elsevier, vol. 36(C), pages 370-377.
    26. Lim, Lee Kian, 1995. "Cointegration and an error correction model of money demand for Australia," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 293-297.
    27. Lester C. Hunt & Robert Witt, 1995. "An Analysis of UK Energy Demand Using Multivariate Cointegration," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 86, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    28. Masih, Rumi & Masih, Abul M. M., 1996. "Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long- and short-run elasticities in a demand function: new evidence and methodological implications from an appl," Energy Economics, Elsevier, vol. 18(4), pages 315-334, October.
    29. Michael Harrison & Eric Strobl & Patrick Walsh, 1998. "The Impact of Social Security Reforms on Female Unemployment Compensation Claimants in Ireland," European Journal of Law and Economics, Springer, vol. 6(3), pages 263-284, November.
    30. Berger, Helge & Woitek, Ulrich, 2001. "The German political business cycle: money demand rather than monetary policy," European Journal of Political Economy, Elsevier, vol. 17(3), pages 609-631, September.
    31. Paresh Kumar Narayan & Xiujian Peng, 2006. "An Econometric Analysis of the Determinants of Fertility for China, 1952-2000," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(2), pages 165-183.
    32. Bewley, Ronald, 2002. "Forecast accuracy, coefficient bias and Bayesian vector autoregressions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 163-169.
    33. Sinha Roy, Saikat, 2007. "Demand and Supply Factors in the Determination of India's Disaggregated Manufactured Exports: A Simultaneous Error-Correction Aprroach," MPRA Paper 68589, University Library of Munich, Germany.
    34. Chiang, Thomas C. & Chiang, Jeanette Jin, 1995. "Emperical analysis of short-term eurocurrency rates: Evidence from a transfer function error correction model," Journal of Economics and Business, Elsevier, vol. 47(4), pages 335-351, October.
    35. Livio Di Matteo & Rosanna Di Matteo, 2001. "Public Homecare Expenditures in Canada," Canadian Public Policy, University of Toronto Press, vol. 27(3), pages 313-333, September.
    36. Cribari-Neto, Francisco, 1996. "On time series econometrics," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(Supplemen), pages 37-60.
    37. Mickaël Clévenot & Yann Guy & Jacques Mazier, 2009. "Equity and debt in a financialised economy: the French case," Working Papers hal-00435685, HAL.
    38. Di Matteo, Livio & Cantarero-Prieto, David, 2018. "The Determinants of Public Health Expenditures: Comparing Canada and Spain," MPRA Paper 87800, University Library of Munich, Germany.
    39. Witzke, H.P. & Heckelei, T., 1998. "Betrieblicher Strukturwandel unter dem Einfluss ökonomischer Rahmenbedingungen," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 34.
    40. Muscatelli, Vito Antonio & Spinelli, Franco, 2000. "Fisher, Barro, and the Italian Interest Rate, 1845-93," Journal of Policy Modeling, Elsevier, vol. 22(2), pages 149-169, March.
    41. Di Matteo, Livio, 2005. "The macro determinants of health expenditure in the United States and Canada: assessing the impact of income, age distribution and time," Health Policy, Elsevier, vol. 71(1), pages 23-42, January.
    42. Gunawardana, P.J. & Kidane, Habtom & Kulendran, N., 1995. "Export Supply Response Of The Australian Citrus Industry," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-15, December.
    43. Bernard Saffran, 1992. "Recommendations for Further Reading," Journal of Economic Perspectives, American Economic Association, vol. 6(4), pages 199-203, Fall.
    44. Bonham, Carl & Gangnes, Byron & Zhou, Ting, 2009. "Modeling tourism: A fully identified VECM approach," International Journal of Forecasting, Elsevier, vol. 25(3), pages 531-549, July.
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    46. F.C. Neil Myer & Mukesh K. Chaudhry & James R. Webb, 1997. "Stationarity and Co-Integration in Systems with Three National Real Estate Indices," Journal of Real Estate Research, American Real Estate Society, vol. 13(3), pages 369-381.
    47. Masih, Abul M. M. & Masih, Rumi, 1997. "On the temporal causal relationship between energy consumption, real income, and prices: Some new evidence from Asian-energy dependent NICs Based on a multivariate cointegration/vector error-correctio," Journal of Policy Modeling, Elsevier, vol. 19(4), pages 417-440, August.

  48. Hurn, A S & Muscatelli, V A, 1992. "Testing Superexogeneity: The Demand for Broad Money in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(4), pages 543-556, November.

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    2. Levent KORAP & Metin YILDIRIM, 2012. "Testing the Lucas Critique for the Turkish Money Demand Function," Iktisat Isletme ve Finans, Bilgesel Yayincilik, vol. 27(318), pages 57-82.
    3. Kia, Amir, 2003. "Rational speculators and equity volatility as a measure of ex ante risk," Global Finance Journal, Elsevier, vol. 14(2), pages 135-157, July.
    4. Adolfo Sachsida & Mário Jorge Cardoso de Mendonça, 2006. "Domestic Saving and Investment Revised: Can the Feldstein-Horioka Equation be Used for Policy Analysis?," Discussion Papers 1158, Instituto de Pesquisa Econômica Aplicada - IPEA.
    5. E. Simsek & M. Orhan & F. Macit, 2017. "Effect of Government Expenditure on GDP in the Turkish Economy," International Econometric Review (IER), Econometric Research Association, vol. 9(2), pages 69-76, September.
    6. Amir Kia, 2002. "Interest Free and Interest-Bearing Money Demand: Policy Invariance and Stability," Working Papers 0214, Economic Research Forum, revised 09 May 2002.
    7. Francis, Bill B. & Leachman, Lori L., 1998. "Superexogeneity and the dynamic linkages among international equity markets," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 475-492, June.
    8. Amir Kia & Ali F. Darrat, 2003. "Modeling Money Demand under the Profit-Sharing Banking Scheme: Evidence on Policy Invariance and Long-Run Stability," Carleton Economic Papers 03-13, Carleton University, Department of Economics, revised Apr 2007.

  49. A.S. Hurn & V.A. Muscatelli, 1992. "The Long‐run Properties of the Demand for M3 in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 60(2), pages 93-101, June.

    Cited by:

    1. Emmanuel Ziramba, 2007. "Demand For Money And Expenditure Components In South Africa: Assessment From Unrestricted Error‐Correction Models," South African Journal of Economics, Economic Society of South Africa, vol. 75(3), pages 412-424, September.
    2. Stephen G. Hall & George Hondroyiannis & P.A.V.B. Swamy & George S. Tavlas, 2009. "Where Has All the Money Gone? Wealth and the Demand for Money in South Africa †," Journal of African Economies, Centre for the Study of African Economies, vol. 18(1), pages 84-112, January.
    3. Kevin S. Nell, 1999. "The Endogenous/Exogenous Nature of South Africa's Money Supply Under Direct and Indirect Monetary Control Measures," Studies in Economics 9912, School of Economics, University of Kent.

  50. A. S. Hurn & J. I. Jeisman & K. A. Lindsay, 0. "Seeing the Wood for the Trees: A Critical Evaluation of Methods to Estimate the Parameters of Stochastic Differential Equations," Journal of Financial Econometrics, Oxford University Press, vol. 5(3), pages 390-455.
    See citations under working paper version above.

Software components

    Sorry, no citations of software components recorded.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Christopher F Baum & Stan Hurn, 2021. "Environmental Econometrics Using Stata," Stata Press books, StataCorp LP, number eeus, March.

    Cited by:

    1. Kevin F. Forbes, 2023. "CO2 has significant implications for hourly ambient temperature: Evidence from Hawaii," Environmetrics, John Wiley & Sons, Ltd., vol. 34(6), September.
    2. Carlos Madeira, 2022. "A review of the future impact of climate change in Chile: economic output and other outcomes," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(8), pages 1-22, December.
    3. Karla Hernández & Carlos Madeira, 2021. "The impact of climate change on economic output in Chile: past and future," Working Papers Central Bank of Chile 933, Central Bank of Chile.
    4. İbrahim Özmen & Şerife Özşahin, 2023. "Effects of global energy and price fluctuations on Turkey's inflation: new evidence," Economic Change and Restructuring, Springer, vol. 56(4), pages 2695-2728, August.

  2. Martin,Vance & Hurn,Stan & Harris,David, 2013. "Econometric Modelling with Time Series," Cambridge Books, Cambridge University Press, number 9780521139816.

    Cited by:

    1. Yusuf D. Bulus & Nnaemeka E. Ohaegbu & Olufunmilayo S. Tajudeen & Chinecherem D. Okoronkwo & Danjuma S. Yusuf, 2023. "Fiscal Deficit Expansion and External Sector Imbalance in Nigeria: Implications for Monetary Policy," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(5), pages 1687-1703, May.
    2. Mansur, Alfan, 2015. "Identifying Shocks on the Economic Fluctuations in Indonesia and US: The Role of Oil Price Shocks in a Structural Vector Autoregression Model," MPRA Paper 94018, University Library of Munich, Germany, revised 09 Jun 2015.
    3. Habib Ur Rahman & Ghulam Ali & Umer Zaman & Carlo Pugnetti, 2021. "Role of ICT Investment and Diffusion in the Economic Growth: A Threshold Approach for the Empirical Evidence from Pakistan," IJFS, MDPI, vol. 9(1), pages 1-14, March.
    4. Koo, Bonsoo & Anderson, Heather M. & Seo, Myung Hwan & Yao, Wenying, 2020. "High-dimensional predictive regression in the presence of cointegration," Journal of Econometrics, Elsevier, vol. 219(2), pages 456-477.
    5. Dante Amengual & Enrique Sentana & Zhanyuan Tian, 2020. "Gaussian Rank Correlation and Regression," Working Papers wp2020_2004, CEMFI.
    6. Yu kun Wang & Li Zhang, 2021. "Underground economy and GDP growth: Evidence from China’s tax reforms," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 7(1), pages 87-107.
    7. Svatošová, L. & Köppelová, J., 2017. "The Use of Combined Models in the Construction of Foodstuffs Consumption Forecasting in the Czech Republic," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(4).
    8. Köppelová, J. & Jindrová, A., 2017. "Comparative Study of Short-Term Time Series Models: Use of Mobile Telecommunication Services in CR Regions," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(1), March.
    9. Esposti, Roberto, 2021. "On the long-term common movement of resource and commodity prices.A methodological proposal," Resources Policy, Elsevier, vol. 72(C).
    10. David Harris & Hsein Kew, 2014. "Portmanteau Autocorrelation Tests Under Q-Dependence And Heteroskedasticity," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 203-217, May.
    11. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    12. Roman Hušek & Tomáš Formánek, 2014. "Alternative specification, estimation and identification of vector autoregressions [Alternativní specifikace, odhad a identifikace vektorových autoregresí]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(4), pages 52-72.
    13. Bruzda, Joanna, 2020. "Demand forecasting under fill rate constraints—The case of re-order points," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1342-1361.
    14. Fatih Chellai, 2021. "What can SVAR models tell us about the impact of Public Expenditure Shocks on macroeconomic variables in algeria? A Slight Hint to the COVID-19 Pandemic," Folia Oeconomica Stetinensia, Sciendo, vol. 21(2), pages 21-37, December.
    15. Apostolos Serletis & Cosmas Dery, "undated". "Interest Rates, Money, and Economic Activity," Working Papers 2019-16, Department of Economics, University of Calgary, revised 08 Oct 2019.
    16. Esposti, Roberto, 2017. "What Makes Commodity Prices Move Together? An Answer From A Dynamic Factor Model," 2017 International Congress, August 28-September 1, 2017, Parma, Italy 260889, European Association of Agricultural Economists.
    17. Mansur, Alfan, 2016. "Kebijakan Moneter dan Volatilitas Pasar Keuangan [Monetary Policy and the Financial Market's Volatility]," MPRA Paper 93880, University Library of Munich, Germany, revised 15 Sep 2016.
    18. Eduardo Silva & Alex Ferreira, 2023. "Risk-sharing within Brazil and South America," Empirical Economics, Springer, vol. 65(2), pages 661-695, August.
    19. Fabio L. Mattos & Rodrigo Lanna Franco da Silveira, 2018. "The Expansion of the Brazilian Winter Corn Crop and Its Impact on Price Transmission," IJFS, MDPI, vol. 6(2), pages 1-17, April.
    20. Eduardo de Sá Fortes Leitão Rodrigues, 2020. "Uncertainty And The Effectiveness Of Fiscal Policy In The United States And Brazil: Svar Approach," Working Papers REM 2020/0150, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    21. Dungey Mardi & Martin Vance L. & Tang Chrismin & Tremayne Andrew, 2020. "A threshold mixed count time series model: estimation and application," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-18, April.
    22. Souček, Michael & Todorova, Neda, 2013. "Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach," Energy Economics, Elsevier, vol. 40(C), pages 586-597.
    23. Vito Polito, 2020. "Nonlinear Business Cycle and Optimal Policy: A VSTAR Perspective," CESifo Working Paper Series 8060, CESifo.
    24. Babajide Abiola Ayopo & Lawal Adedoyin Isola & Somoye Russel Olukayode, 2016. "Stock Market Response to Economic Growth and Interest Rate Volatility: Evidence from Nigeria," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 354-360.
    25. Gregor Dorfleitner & Carina Lung, 2018. "Cryptocurrencies from the perspective of euro investors: a re-examination of diversification benefits and a new day-of-the-week effect," Journal of Asset Management, Palgrave Macmillan, vol. 19(7), pages 472-494, December.
    26. Alonso-Rodriguez, Agustin, 2017. "The CO2 emissions in Finland, Norway and Sweden: a dynamic relationship," EconStor Preprints 171259, ZBW - Leibniz Information Centre for Economics.
    27. Anke D. Leroux & Vance L. Martin & Kathryn A. St. John, 2022. "Modeling time varying risk of natural resource assets: Implications of climate change," Quantitative Economics, Econometric Society, vol. 13(1), pages 225-257, January.
    28. Eduardo de Sa Fortes Leitao Rodrigues, 2023. "Uncertainty and the effectiveness of fiscal policy in the United States and Brasil: SVAR Approach," Working Papers 2023.03, International Network for Economic Research - INFER.

  3. Ralf Becker & Stan Hurn (ed.), 2004. "Contemporary Issues in Economics and Econometrics," Books, Edward Elgar Publishing, number 3277.

    Cited by:

    1. Mehtap Kesriyeli & Denise R. Osborn & Marianne Sensier, 2004. "Nonlinearity and Structural Change in Interest Rate Reaction Functions for the US, UK and Germany," Working Papers 0414, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. Dale Roberts & Laura Ryan, 2015. "Evidence of speculation in world oil prices," Australian Journal of Management, Australian School of Business, vol. 40(4), pages 630-651, November.

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