{"title":"Physical vs. Transition climate risks: Asymmetric effects on stock return predictability","authors":"Mingtao Zhou, Yong Ma","doi":"10.1016/j.irfa.2025.104266","DOIUrl":null,"url":null,"abstract":"<div><div>This paper examines the predictive role of two dominant climate risk categories – physical and transition risks – in forecasting U.S. equity market risk premiums. The results reveal a pronounced asymmetry: physical climate risk significantly and negatively predicts stock returns both in-sample and out-of-sample, whereas transition climate risk demonstrates insignificant forecasting ability. This superior performance of physical risk delivers greater economic gains to investors and remains robust even after controlling for widely used economic predictors. However, its predictability is state-dependent, weakening during economic disruptions and strengthening following the COP21 Agreement. Further analysis shows that the cash flow and sentiment channels potentially drive the strong predictability of physical risk. Overall, our findings underscore the importance of incorporating physical climate risk into equity return forecasting models, offering actionable insights for financial decision-making processes.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"104 ","pages":"Article 104266"},"PeriodicalIF":7.5000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925003539","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This paper examines the predictive role of two dominant climate risk categories – physical and transition risks – in forecasting U.S. equity market risk premiums. The results reveal a pronounced asymmetry: physical climate risk significantly and negatively predicts stock returns both in-sample and out-of-sample, whereas transition climate risk demonstrates insignificant forecasting ability. This superior performance of physical risk delivers greater economic gains to investors and remains robust even after controlling for widely used economic predictors. However, its predictability is state-dependent, weakening during economic disruptions and strengthening following the COP21 Agreement. Further analysis shows that the cash flow and sentiment channels potentially drive the strong predictability of physical risk. Overall, our findings underscore the importance of incorporating physical climate risk into equity return forecasting models, offering actionable insights for financial decision-making processes.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.