Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach

被引:64
作者
Zhang, Wenting [1 ]
He, Xie [1 ]
Hamori, Shigeyuki [1 ]
机构
[1] Kobe Univ, Grad Sch Econ, 2-1 Rokkodai,Nada Ku, Kobe 6578501, Japan
关键词
ESG index; Sustainability-related index; Carbon emission futures; Connectedness; Risk hedging; DCC-GARCH-based dynamic connectedness; approach; RENEWABLE ENERGY INVESTMENT; MODELS; MARKETS; PERFORMANCE; VARIANCE; RETURN; PRICE; BEKK; OIL;
D O I
10.1016/j.irfa.2022.102223
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study analyzes the dynamic connectedness between the ESG stock index, the renewable energy stock index, the green bond stock index, the sustainability stock index, and the carbon emission futures by employing a novel method: the DCC-GARCH-based dynamic connectedness approach. Given the strong volatility spillover among these indexes, we adopt the DCC-GARCH t-copula model to calculate these indexes' hedging ratios and portfolio weights. Our findings show that the carbon emission futures are the volatility transmitter, and the green bond is the volatility receiver. The total dynamic connectedness is affected by international political, economic, and other events. Furthermore, for stock market volatility investors, taking the long position in carbon emission futures and the short position in renewable energy stock can achieve the highest hedging effect.
引用
收藏
页数:14
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