EconPapers    
Economics at your fingertips  
 

How does green preference impact sustainability-based investment strategy? Evidence from the Chinese stock market

Qianqian Du, Wanxuan Su, Dawei Liang and Luying Wang

Economic Modelling, 2023, vol. 124, issue C

Abstract: This study contributes to the ongoing debate on whether and how green strategy improves shareholder value. Using listed firms in the Chinese A-share market from 2008 through 2020, we find that a sustainability-based investment strategy by longing green stocks and shorting brown stocks can generate above 4% abnormal returns annually. Further investigation shows that investors' preference for green stocks increases the valuation of such stocks and contributes to the profitability of the trading strategy. We construct a green taste measure using textual analysis of over 400,000 analyst reports, finding that when agents' green tastes increase unexpectedly, the sustainability-based trading strategy generates higher returns in the future. Our findings shed light on the importance of investors' green preference on firms’ valuation.

Keywords: Green tastes; ESG; Textual analysis; Market reaction (search for similar items in EconPapers)
JEL-codes: G11 G14 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999323001049
Full text for ScienceDirect subscribers only

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:ecmode:v:124:y:2023:i:c:s0264999323001049

DOI: 10.1016/j.econmod.2023.106292

Access Statistics for this article

Economic Modelling is currently edited by S. Hall and P. Pauly

More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecmode:v:124:y:2023:i:c:s0264999323001049