{"title":"How you measure transition risk matters: comparing and evaluating climate transition risk metrics","authors":"Philip Fliegel","doi":"10.1016/j.jcorpfin.2025.102939","DOIUrl":null,"url":null,"abstract":"<div><div>I investigate how to best measure firms' climate transition risk. Therefore, I gather a new dataset of firm-level climate transition risk metrics including <em>reported</em> EU taxonomy alignments of capex and revenues as well as emission intensities, E-scores from Refinitiv and MSCI, The Refinitiv Business Classification (TRBC), and text-based metrics. I find a strong divergence in transition risk metrics for companies. Thus, depending on the transition risk metric – a portfolio's transition risk profile will differ substantially. To evaluate the transition risk metrics, I measure the return sensitivity of nine brown and green portfolios– each constructed using a specific firm-level transition risk metric – to market-wide news indices that track transition risk shocks: the higher the sensitivity, the more effective the transition risk proxy. For green portfolios, I find that taxonomy and TRBC portfolios react most strongly to climate transition risk shocks. Forward-looking metrics seem to be particularly useful. For brown portfolios, only the MSCI E-score portfolio reacts significantly negative to transition risk shocks. The findings are robust across different world regions, different weighting and sampling methodologies and in an event-study setting. I conclude that markets currently price the upside risk for green firms stronger than the downside risk for brown firms.</div></div>","PeriodicalId":15525,"journal":{"name":"Journal of Corporate Finance","volume":"98 ","pages":"Article 102939"},"PeriodicalIF":6.9000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Corporate Finance","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S092911992500207X","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/12/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
I investigate how to best measure firms' climate transition risk. Therefore, I gather a new dataset of firm-level climate transition risk metrics including reported EU taxonomy alignments of capex and revenues as well as emission intensities, E-scores from Refinitiv and MSCI, The Refinitiv Business Classification (TRBC), and text-based metrics. I find a strong divergence in transition risk metrics for companies. Thus, depending on the transition risk metric – a portfolio's transition risk profile will differ substantially. To evaluate the transition risk metrics, I measure the return sensitivity of nine brown and green portfolios– each constructed using a specific firm-level transition risk metric – to market-wide news indices that track transition risk shocks: the higher the sensitivity, the more effective the transition risk proxy. For green portfolios, I find that taxonomy and TRBC portfolios react most strongly to climate transition risk shocks. Forward-looking metrics seem to be particularly useful. For brown portfolios, only the MSCI E-score portfolio reacts significantly negative to transition risk shocks. The findings are robust across different world regions, different weighting and sampling methodologies and in an event-study setting. I conclude that markets currently price the upside risk for green firms stronger than the downside risk for brown firms.
期刊介绍:
The Journal of Corporate Finance aims to publish high quality, original manuscripts that analyze issues related to corporate finance. Contributions can be of a theoretical, empirical, or clinical nature. Topical areas of interest include, but are not limited to: financial structure, payout policies, corporate restructuring, financial contracts, corporate governance arrangements, the economics of organizations, the influence of legal structures, and international financial management. Papers that apply asset pricing and microstructure analysis to corporate finance issues are also welcome.