中文版 | English
Title

Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China's Spots and Options' Markets

Author
Corresponding AuthorWang, He
Publication Years
2022-10-03
DOI
Source Title
ISSN
1076-2787
EISSN
1099-0526
Volume2022
Abstract

This study investigates the volatility risk premium on the emerging financial market. We also consider the expected return and ESG sentiment. Based on the SSE 50 ETF 5-minute high-frequency spots and daily options data from 2016 to 2021, we adopt nonparametric model-free approaches to calculate realized and implied volatilities. And the volatility risk premium is constructed by subtracting these volatility series. We examine the relations between the volatility risk premium and future excess returns as well as ESG sentiment through multifactor specifications. We find that the volatility risk premium also exists in the Chinese market and is significantly negative. In addition, the statistically positive correlation between the volatility risk premium and aggregate returns is an outlier compared to the empirically negative pattern in developed markets. At last, ESG sentiment is positively associated with the volatility risk premium, especially the impact of environmental and social. This evidence supports the agency theory, which indicates that investors perceive ESG investments as waste resources in a short term and become potentially risky.

URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
Plan of Philosophy and Social Sciences in Guangdong Province-Discipline Co-Construction[GD18XYJ36]
WOS Research Area
Mathematics ; Science & Technology - Other Topics
WOS Subject
Mathematics, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS Accession No
WOS:000869963000002
Publisher
ESI Research Field
MATHEMATICS
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406847
DepartmentSchool of Business
商学院_金融系
Affiliation
1.Southern Univ Sci & Technol, Sch Business, Shenzhen 518055, Peoples R China
2.Harbin Inst Technol, Sch Econ & Management, Shenzhen 518055, Peoples R China
First Author AffilicationSchool of Business
Corresponding Author AffilicationSchool of Business
First Author's First AffilicationSchool of Business
Recommended Citation
GB/T 7714
Liu, Zhaohua,Wang, Susheng,Liu, Siyi,et al. Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China's Spots and Options' Markets[J]. COMPLEXITY,2022,2022.
APA
Liu, Zhaohua,Wang, Susheng,Liu, Siyi,Yu, Haixu,&Wang, He.(2022).Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China's Spots and Options' Markets.COMPLEXITY,2022.
MLA
Liu, Zhaohua,et al."Volatility Risk Premium, Return Predictability, and ESG Sentiment: Evidence from China's Spots and Options' Markets".COMPLEXITY 2022(2022).
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