Risk-return relationship and structural breaks: Evidence from China carbon market

被引:27
作者
Zhao, Lili [1 ]
Wen, Fenghua [1 ,2 ]
机构
[1] Cent South Univ, Sch Business, Changsha 410083, Peoples R China
[2] Univ Windsor, Fac Engn, Supply Chain & Logist Optimizat Res Ctr, Windsor, ON, Canada
基金
中国国家自然科学基金;
关键词
Risk compensation; Time varying; Structural breaks; China carbon Market; PRICE DYNAMICS; TIME-SERIES; UNIT-ROOT; OIL; PERFORMANCE; ALLOWANCES; CAUSALITY; SHENZHEN; PILOT; US;
D O I
10.1016/j.iref.2021.10.019
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper investigates the risk-return relationship of China carbon market by evaluating the risk compensation coefficients, especially to consider the structural breaks caused by the policy uncertainty and vital events would impact the investment and carbon market risk-return relations. In detail, we have constructed the time varying GARCH-M model to depict the characteristic of risk compensation coefficient in China carbon market, then adopted ICSS algorithm to investigate the structural breaks in the carbon market returns and measured their impacts on the risk compensation coefficients. Particularly, we have evaluated the asymmetry effects of positive and negative structural breaks to the market risk-return relationship. Therefore, we find the risk compensation coefficients of carbon markets are obviously time varying, heterogeneously influenced by return demand of the inherent risk, risk compensation and unexpected return of the upfront period. Besides, the structural breaks significantly affect and make asymmetry effects to the risk-return relationship. Last, the findings are helpful for policy making of the carbon market development and market participants to avoid risks and optimize portfolios.
引用
收藏
页码:481 / 492
页数:12
相关论文
共 36 条
[1]   What do asset prices have to say about risk appetite and uncertainty? [J].
Bekaert, Geert ;
Hoerova, Marie .
JOURNAL OF BANKING & FINANCE, 2016, 67 :103-118
[2]   Modeling the price dynamics of CO2 emission allowances [J].
Benz, Eva ;
Trueck, Stefan .
ENERGY ECONOMICS, 2009, 31 (01) :4-15
[3]   Firm Market Performance and Volatility in a National Real Estate Sector [J].
Bianconi, Marcelo ;
Yoshino, Joe A. .
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2012, 22 (01) :230-253
[4]   Market fragmentation, liquidity measures and improvement perspectives from China's emissions trading scheme pilots [J].
Chang, Kai ;
Chen, Rongda ;
Chevallier, Julien .
ENERGY ECONOMICS, 2018, 75 :249-260
[5]   Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots [J].
Chang, Kai ;
Pei, Ping ;
Zhang, Chao ;
Wu, Xin .
ENERGY ECONOMICS, 2017, 67 :213-223
[6]   DISTRIBUTION OF THE ESTIMATORS FOR AUTOREGRESSIVE TIME-SERIES WITH A UNIT ROOT [J].
DICKEY, DA ;
FULLER, WA .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1979, 74 (366) :427-431
[7]   ESTIMATING TIME-VARYING RISK PREMIA IN THE TERM STRUCTURE - THE ARCH-M MODEL [J].
ENGLE, RF ;
LILIEN, DM ;
ROBINS, RP .
ECONOMETRICA, 1987, 55 (02) :391-407
[8]   Dynamics of China's carbon prices in the pilot trading phase [J].
Fan, John Hua ;
Todorova, Neda .
APPLIED ENERGY, 2017, 208 :1452-1467
[9]   Structural breaks and volatility forecasting in the copper futures market [J].
Gong, Xu ;
Lin, Boqiang .
JOURNAL OF FUTURES MARKETS, 2018, 38 (03) :290-339
[10]   What explain the short-term dynamics of the prices of CO2 emissions? [J].
Hammoudeh, Shawkat ;
Duc Khuong Nguyen ;
Sousa, Ricardo M. .
ENERGY ECONOMICS, 2014, 46 :122-135