The dynamic interaction between investor attention and green security market: an empirical study based on Baidu index

被引:33
|
作者
Gao, Yang [1 ]
Li, Yangyang [1 ]
Wang, Yaojun [2 ]
机构
[1] Beijing Univ Technol, Sch Econ & Management, Beijing, Peoples R China
[2] China Agr Univ, Coll Informat & Elect Engn, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Generalized forecast error variance decomposition; Investor attention; Interaction effect; Green bond; Green stock; CO-MOVEMENT; VOLATILITY; OIL; RETURN; INFORMATION; BOND;
D O I
10.1108/CFRI-06-2021-0136
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Purpose This paper aims to explore the interaction between investor attention and green security markets, including green bonds and stocks. Design/methodology/approach This study takes the Baidu index of "green finance" as the proxy for investor attention and constructs several generalized prediction error variance decomposition models to investigate the interdependence. It further analyzes the dynamic interaction between investor attention and the return and volatility of green security markets using the rolling time window. Findings The empirical analysis and robustness test results reveal that the spillovers between investor attention and the return and volatility of the green bond market are relatively stable. In contrast, the spillover level between investor attention and the green stock market displays significant time-varying and asymmetric effects. Moreover, the volatility spillover between investor attention and green securities is vulnerable to major financial events, while the return spillover is extremely sensitive to market performance. Originality/value The conclusion further expands the practical application and theoretical framework of behavioral finance in green finance and provides a new reference for investors and regulators. Besides, this study also lays a theoretical basis for investors to focus on the practical application of volatility prediction and risk management in green securities.
引用
收藏
页码:79 / 101
页数:23
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