ESG and the Stock Market: Is ESG Exposure Systematic?
We study the relation between firms’ environmental, social, and governance (ESG) performance and the aggregate stock market returns. Based on 38 individual ESG measures, we construct a market-level ESG index. With both the traditional predictive regression approach and two recently developed machine-learning methods, we find that the ESG index has strong and positive predictive power on the market both in- and out-of-sample, and both the cash flow and discount rate channels are the economic drivers of predictability. Our results are robust to a number of controls and set-ups. Our novel finding on the significant market-wide impact of the ESG provides support for the economy-wide importance of the ESG risk and for the central role played by governments. This paper was accepted by Caroline Flammer, sustainability. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2024.07169 .
Authors
- Kent Wang
- Bohui Zhang (ORCID: https://orcid.org/0000-0002-5458-6487)
- Guofu Zhou (ORCID: https://orcid.org/0000-0002-4104-403X)
- Liya Chu (ORCID: https://orcid.org/0000-0003-2605-9361)
Institutions
- Washington University in St. Louis (US)
- Australian Sports Commission (AU)
- Chinese University of Hong Kong, Shenzhen (CN)
- Australian Securities and Investments Commission (AU)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Management Science
- Published
- 2026-06-24
- DOI
- https://doi.org/10.1287/mnsc.2024.07169
- Primary Topic
- Corporate Social Responsibility Reporting
- Type
- article
- Field-Weighted Citation Impact
- 0.00