Forecasting the Volatility of European Union Allowance Futures with Climate Policy Uncertainty Using the EGARCH-MIDAS Model
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- Libing Fang & Baizhu Chen & Honghai Yu & Yichuo Qian, 2018. "The importance of global economic policy uncertainty in predicting gold futures market volatility: A GARCH‐MIDAS approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 413-422, March.
- Frederick Ploeg & Aart Zeeuw, 2019.
"Pricing Carbon and Adjusting Capital to Fend Off Climate Catastrophes,"
Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(1), pages 29-50, January.
- Rick Van der Ploeg & Aart de Zeeuw, 2018. "Pricing Carbon and Adjusting Capital to Fend off Climate Catastrophes," OxCarre Working Papers 207, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
- Peter R. Hansen & Asger Lunde & James M. Nason, 2011.
"The Model Confidence Set,"
Econometrica, Econometric Society, vol. 79(2), pages 453-497, March.
- Peter R. Hansen & Asger Lunde & James M. Nason, 2010. "The Model Confidence Set," CREATES Research Papers 2010-76, Department of Economics and Business Economics, Aarhus University.
- Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
- Golub, Alexander A. & Lubowski, Ruben N. & Piris-Cabezas, Pedro, 2020. "Business responses to climate policy uncertainty: Theoretical analysis of a twin deferral strategy and the risk-adjusted price of carbon," Energy, Elsevier, vol. 205(C).
- Gugler, Klaus & Haxhimusa, Adhurim & Liebensteiner, Mario, 2021. "Effectiveness of climate policies: Carbon pricing vs. subsidizing renewables," Journal of Environmental Economics and Management, Elsevier, vol. 106(C).
- Robert F. Engle & Eric Ghysels & Bumjean Sohn, 2013. "Stock Market Volatility and Macroeconomic Fundamentals," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 776-797, July.
- Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2016.
"Macro-Finance Determinants of the Long-Run Stock–Bond Correlation: The DCC-MIDAS Specification,"
Journal of Financial Econometrics, Oxford University Press, vol. 14(3), pages 617-642.
- Asgharian, Hossein & Christiansen, Charlotte & Hou, Ai Jun, 2014. "Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification," Working Papers 2014:37, Lund University, Department of Economics.
- Hossein Asgharian & Charlotte Christiansen & Ai Jun Hou, 2014. "Macro-Finance Determinants of the Long-Run Stock-Bond Correlation: The DCC-MIDAS Specification," CREATES Research Papers 2014-13, Department of Economics and Business Economics, Aarhus University.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Chevallier, Julien, 2009. "Carbon futures and macroeconomic risk factors: A view from the EU ETS," Energy Economics, Elsevier, vol. 31(4), pages 614-625, July.
- Yu, Honghai & Fang, Libing & Sun, Wencong, 2018. "Forecasting performance of global economic policy uncertainty for volatility of Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 931-940.
- Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2012.
"Modeling and explaining the dynamics of European Union Allowance prices at high-frequency,"
Energy Economics, Elsevier, vol. 34(1), pages 316-326.
- Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2010. "Modeling and Explaining the Dynamics of European Union Allowance Prices at High-Frequency," Working Papers 0497, University of Heidelberg, Department of Economics.
- Conrad, Christian & Rittler, Daniel & Rotfuß, Waldemar, 2010. "Modeling and explaining the dynamics of European Union allowance prices at high-frequency," ZEW Discussion Papers 10-038, ZEW - Leibniz Centre for European Economic Research.
- Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
- Jian Liu & Ziting Zhang & Lizhao Yan & Fenghua Wen, 2021. "Forecasting the volatility of EUA futures with economic policy uncertainty using the GARCH-MIDAS model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
- Batten, Jonathan A. & Maddox, Grace E. & Young, Martin R., 2021. "Does weather, or energy prices, affect carbon prices?," Energy Economics, Elsevier, vol. 96(C).
- repec:dau:papers:123456789/6969 is not listed on IDEAS
- Pan, Zhiyuan & Wang, Yudong & Wu, Chongfeng & Yin, Libo, 2017. "Oil price volatility and macroeconomic fundamentals: A regime switching GARCH-MIDAS model," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 130-142.
- repec:dau:papers:123456789/4210 is not listed on IDEAS
- Zhao, Xin & Han, Meng & Ding, Lili & Kang, Wanglin, 2018. "Usefulness of economic and energy data at different frequencies for carbon price forecasting in the EU ETS," Applied Energy, Elsevier, vol. 216(C), pages 132-141.
- Rodriguez Lopez, Juan Miguel & Sakhel, Alice & Busch, Timo, 2017. "Corporate investments and environmental regulation: The role of regulatory uncertainty, regulation-induced uncertainty, and investment history," European Management Journal, Elsevier, vol. 35(1), pages 91-101.
- Zhou, Zhongbao & Fu, Zhangyan & Jiang, Yong & Zeng, Ximei & Lin, Ling, 2020. "Can economic policy uncertainty predict exchange rate volatility? New evidence from the GARCH-MIDAS model," Finance Research Letters, Elsevier, vol. 34(C).
- Peng-Fei Dai & Xiong Xiong & Toan Luu Duc Huynh & Jiqiang Wang, 2020. "The impact of economic policy uncertainties on the volatility of European carbon market," Papers 2007.10564, arXiv.org, revised Aug 2021.
- Fang, Tong & Lee, Tae-Hwy & Su, Zhi, 2020.
"Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection,"
Journal of Empirical Finance, Elsevier, vol. 58(C), pages 36-49.
- Tong Fang & Tae-Hwy Lee & Zhi Su, 2020. "Predicting the Long-term Stock Market Volatility: A GARCH-MIDAS Model with Variable Selection," Working Papers 202009, University of California at Riverside, Department of Economics.
- Huang, Yumeng & Dai, Xingyu & Wang, Qunwei & Zhou, Dequn, 2021. "A hybrid model for carbon price forecastingusing GARCH and long short-term memory network," Applied Energy, Elsevier, vol. 285(C).
- Yinpeng Zhang & Zhixin Liu & Yingying Xu, 2018. "Carbon price volatility: The case of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-15, October.
- Wang, Lu & Ma, Feng & Liu, Jing & Yang, Lin, 2020. "Forecasting stock price volatility: New evidence from the GARCH-MIDAS model," International Journal of Forecasting, Elsevier, vol. 36(2), pages 684-694.
- Hambel, Christoph & Kraft, Holger & Schwartz, Eduardo, 2021. "Optimal carbon abatement in a stochastic equilibrium model with climate change," European Economic Review, Elsevier, vol. 132(C).
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- Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
- Guo, Jiaqi & Long, Shaobo & Luo, Weijie, 2022. "Nonlinear effects of climate policy uncertainty and financial speculation on the global prices of oil and gas," International Review of Financial Analysis, Elsevier, vol. 83(C).
- Sarker, Provash Kumer & Lau, Chi Keung Marco & Pradhan, Ashis Kumar, 2023. "Asymmetric effects of climate policy uncertainty and energy prices on bitcoin prices," Innovation and Green Development, Elsevier, vol. 2(2).
- Liu, Xiaoqin & Wojewodzki, Michal & Cai, Yifei & Sharma, Satish, 2023. "The dynamic relationships between carbon prices and policy uncertainties," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
- Yue Xu & Dayu Zhai, 2022. "Impact of Changes in Membership on Prices of a Unified Carbon Market: Case Study of the European Union Emissions Trading System," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
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Keywords
European Union allowance futures; climate policy uncertainty; volatility forecasting; EGARCH-MIDAS model; MCS test;All these keywords.
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