National air pollution and the cross-section of stock returns in China
Samuel Kirk-Reeve,
Sebastian A. Gehricke,
Xinfeng Ruan and
Jin E. Zhang
Journal of Behavioral and Experimental Finance, 2021, vol. 32, issue C
Abstract:
This study examines the impact of air pollution on the cross-section of China A-share returns. We create a China national air quality index (AQI) and show that stocks that are most sensitive to air pollution generate lower risk-adjusted returns than less air pollution-sensitive stocks. These results are robust to controls for common cross-sectional return predictors and build upon existing studies linking air pollution, investor mood and financial market behaviour. In line with established literature on the home bias in stock pricing, we further show that a national air quality index more effectively captures air pollution effects in order-driven markets, such as China, than the local air quality near the respective stock exchange. We find that this home bias of investors located all throughout China explains why the local air quality indices used in previous studies led to mixed results.
Keywords: Air pollution; Stock returns; Investor mood; China (search for similar items in EconPapers)
JEL-codes: G02 G12 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214635021001167
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:beexfi:v:32:y:2021:i:c:s2214635021001167
DOI: 10.1016/j.jbef.2021.100572
Access Statistics for this article
Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber
More articles in Journal of Behavioral and Experimental Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().