{"title":"Climate policy uncertainty and analyst earnings forecasts: Evidence from the Chinese energy sector","authors":"Wenhua Liu , Yang Liu , Fenghua Wen , Xu Gong","doi":"10.1016/j.irfa.2025.103960","DOIUrl":null,"url":null,"abstract":"<div><div>We investigate whether climate policy uncertainty affects analysts' earnings forecasts. Using 51,986 analyst forecasting data from China's energy sector for 2009–2021, we find that climate policy uncertainty results in lower analysts' earnings forecasts. Our finding is consistent with the deterioration of the company's fundamentals. Heterogeneity analysis shows that climate policy uncertainty's “correction effect” on analysts' optimistic forecasts is more effective among firms with worse ESG performance and higher pollution levels. Additional analysis suggests that analysts' revision behavior is only present in the sample of optimistic forecasts and that the “correction effect” improves the accuracy of analysts' forecasts.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"100 ","pages":"Article 103960"},"PeriodicalIF":7.5000,"publicationDate":"2025-01-28","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/S105752192500047X","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
We investigate whether climate policy uncertainty affects analysts' earnings forecasts. Using 51,986 analyst forecasting data from China's energy sector for 2009–2021, we find that climate policy uncertainty results in lower analysts' earnings forecasts. Our finding is consistent with the deterioration of the company's fundamentals. Heterogeneity analysis shows that climate policy uncertainty's “correction effect” on analysts' optimistic forecasts is more effective among firms with worse ESG performance and higher pollution levels. Additional analysis suggests that analysts' revision behavior is only present in the sample of optimistic forecasts and that the “correction effect” improves the accuracy of analysts' forecasts.
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.