Dynamic lead–lag relationship between Chinese carbon emission trading and stock markets under exogenous shocks
Zhang-HangJian Chen,
Fei Ren,
Ming-Yuan Yang,
Feng-Zhi Lu and
Sai-Ping Li
International Review of Economics & Finance, 2023, vol. 85, issue C, 295-305
Abstract:
Using the non-parametric thermal optimal path method, we investigate the dynamic lead–lag relationship between carbon emission trading and stock markets in China, and further consider the impact of different types of exogenous shocks on the lead–lag relationship. The empirical results show that the stock market leads the carbon market on most trading days, and the relationship reverses when the mean values of carbon market return are significantly smaller than zero. In addition, the lead–lag relationships when the carbon market leads the high energy-consuming stock market sectors are more obvious. We also find that there exist significant heterogeneous effects of different types of exogenous shocks on the lead–lag relationship between the two markets, including government policy, the Sino-US trade war and the Covid-19 outbreak. These findings have the potential to help regulators understand the interrelationship between components of the financial market, and be of great value for investors to optimize portfolio allocation by incorporating carbon assets into the portfolio.
Keywords: Carbon emission trading market; Stock market; Lead–lag relationship; Exogenous shocks; Thermal optimal path (search for similar items in EconPapers)
JEL-codes: C22 G10 Q40 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (6)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:85:y:2023:i:c:p:295-305
DOI: 10.1016/j.iref.2023.01.028
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