From climate risk to the returns and volatility of energy assets and green bonds: A predictability analysis under various conditions

被引:54
作者
Bouri, Elie [1 ,5 ]
Rognone, Lavinia [2 ,6 ]
Sokhanvar, Amin [3 ]
Wang, Zhenkun [4 ]
机构
[1] Lebanese Amer Univ, Sch Business, Beirut, Lebanon
[2] Univ Manchester, Alliance Manchester Business Sch, Manchester, England
[3] Ural Fed Univ, Grad Sch Econ & Management, Ekaterinburg, Russia
[4] Nanjing Univ Finance & Econ, Sch Accounting, Nanjing, Jiangsu, Peoples R China
[5] Kyung Hee Univ, Coll Business, 26 Kyungheedae Ro, Seoul 02447, South Korea
[6] Univ Edinburgh, Business Sch, Edinburgh EH8 9JS, Scotland
关键词
Quantile dependency and predictability; Cross-quantilogram; Physical and transition risk; Green and brown energy; Carbon emission allowances; Green bonds; European markets; DISASTER;
D O I
10.1016/j.techfore.2023.122682
中图分类号
F [经济];
学科分类号
02 ;
摘要
The importance of climate risk as a source of systemic risk for financial markets and the decisions of investors, portfolio managers, and regulators is growing. We examine the directional predictability from two climate risk measures, transition risk and physical risk, to the returns and volatility of European brown and green energy stocks, European carbon emission allowances, and global green bonds. Using daily data, we apply a crossquantilogram approach in a time-varying setting to measure potential differences in the predictability across quantiles and over various crisis periods. The return predictability results are more pronounced for transition risk than physical risk, especially for brown energy stocks and carbon emission allowances, and they generally vary across periods and markets conditions. The predictability of volatility is also significant at specific time periods and volatility states, especially from transition risk, and the sign of the predictability is positive for brown energy and carbon emission allowances whereas it is negative for green bonds. We show that a lower-than-expected level of discussion about the transition process leads to a heightened volatility of brown energy markets. These findings have important implications regarding climate risks assessment on return and volatility predictability and climate risk and portfolio decarbonization under COP26.
引用
收藏
页数:22
相关论文
共 65 条
[31]  
Gavriilidis K, 2021, SSRN Electronic Journal, DOI [10.2139/ssrn.3847388, 10.2139/ssrn.3847388, DOI 10.2139/SSRN.3847388]
[32]   Climate Finance [J].
Giglio, Stefano ;
Kelly, Bryan ;
Stroebel, Johannes .
ANNUAL REVIEW OF FINANCIAL ECONOMICS, VOL 13, 2021, 2021, 13 :15-36
[33]  
Gourdel R., 2022, WORKING PAPER SERIES
[34]   Economic perspectives and policy insights on carbon capture, storage, and utilization for sustainable development [J].
Gowd, Sarath C. ;
Ganeshan, Prabakaran ;
Vigneswaran, V. S. ;
Hossain, Md Shahadat ;
Kumar, Deepak ;
Rajendran, Karthik ;
Ngo, Huu Hao ;
Pugazhendhi, Arivalagan .
SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 883
[35]   The cross-quantilogram: Measuring quantile dependence and testing directional predictability between time series [J].
Han, Heejoon ;
Linton, Oliver ;
Oka, Tatsushi ;
Whang, Yoon-Jae .
JOURNAL OF ECONOMETRICS, 2016, 193 (01) :251-270
[36]   Does the ECB policy of quantitative easing impact environmental policy objectives? [J].
Hilmi, Nathalie ;
Djoundourian, Salpie ;
Shahin, Wassim ;
Safa, Alain .
JOURNAL OF ECONOMIC POLICY REFORM, 2022, 25 (03) :259-271
[37]   The Pollution Premium [J].
Hsu, Po-Hsuan ;
Li, Kai ;
Tsou, Chi-Yang .
JOURNAL OF FINANCE, 2023, :1343-1392
[38]   Achieving energy transition in OECD economies: Discovering the moderating roles of environmental governance [J].
Hu, Kexiang ;
Sinha, Avik ;
Tan, Zhixiong ;
Shah, Muhammad Ibrahim ;
Abbas, Shujaat .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2022, 168
[39]   Climate Change News Risk and Corporate Bond Returns [J].
Huynh, Thanh D. ;
Xia, Ying .
JOURNAL OF FINANCIAL AND QUANTITATIVE ANALYSIS, 2021, 56 (06) :1985-2009
[40]   Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution [J].
Jiang, Sijian ;
Deng, Xiangzheng ;
Liu, Gang ;
Zhang, Fan .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2021, 167