Research on Risk Measurement of China’s Carbon Trading Market
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- Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2015.
"Carbon Price Analysis Using Empirical Mode Decomposition,"
Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 195-206, February.
- Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2014. "Carbon price analysis using empirical mode decomposition," Working Papers 2014-156, Department of Research, Ipag Business School.
- Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
- Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
- Feng, Zhen-Hua & Wei, Yi-Ming & Wang, Kai, 2012.
"Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS,"
Applied Energy, Elsevier, vol. 99(C), pages 97-108.
- Zhen-Hua Feng & Yi-Ming Wei & Kai Wang, 2011. "Estimating risk for the carbon market via extreme value theory: An empirical analysis of the EU ETS," CEEP-BIT Working Papers 19, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Zhang, Yue-Jun & Wei, Yi-Ming, 2010.
"An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect,"
Applied Energy, Elsevier, vol. 87(6), pages 1804-1814, June.
- Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Cong, Ren & Lo, Alex Y., 2017. "Emission trading and carbon market performance in Shenzhen, China," Applied Energy, Elsevier, vol. 193(C), pages 414-425.
- Liu, Feng & Shao, Shuai & Li, Xin & Pan, Na & Qi, Yu, 2023. "Economic policy uncertainty, jump dynamics, and oil price volatility," Energy Economics, Elsevier, vol. 120(C).
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Keywords
carbon market; price volatility; risk measurement; EGARCH; extreme value theory;All these keywords.
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