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作者:

Gao, Y. (Gao, Y..) | Li, Y. (Li, Y..) | Wang, Y. (Wang, Y..)

收录:

Scopus

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. © 2021, Emerald Publishing Limited.

关键词:

Green stock Investor attention Generalized forecast error variance decomposition Green bond Interaction effect

作者机构:

  • [ 1 ] [Gao Y.]School of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 2 ] [Li Y.]School of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 3 ] [Wang Y.]College of Information and Electrical Engineering, China Agricultural University, Beijing, China

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来源 :

China Finance Review International

ISSN: 2044-1398

年份: 2023

期: 1

卷: 13

页码: 79-101

被引次数:

WoS核心集被引频次:

SCOPUS被引频次: 38

ESI高被引论文在榜: 0 展开所有

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