{"title":"ESG-ETFs and the constituent firms’ default risk mitigation","authors":"Masayasu Kanno","doi":"10.1016/j.frl.2025.107384","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines whether ESG performance contributes to default risk mitigation in firms issuing securities that comprise an ESG-ETF. This study estimates logistic regression models for the panel data. The model-free results show that the credit risk had reduced for eight ESG-ETFs, but not for eleven. In contrast, the model analysis results indicate that in 17 of 21 ESG-ETFs, ESG performance most effectively mitigates the deterioration of the creditworthiness of ESG-ETF’s constituent firms. This study provides an effective credit risk analysis methodology for selecting an ESG-ETF that comprises firms with better creditworthiness for investors and regulators.</div></div>","PeriodicalId":12167,"journal":{"name":"Finance Research Letters","volume":"81 ","pages":"Article 107384"},"PeriodicalIF":6.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Finance Research Letters","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1544612325006440","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines whether ESG performance contributes to default risk mitigation in firms issuing securities that comprise an ESG-ETF. This study estimates logistic regression models for the panel data. The model-free results show that the credit risk had reduced for eight ESG-ETFs, but not for eleven. In contrast, the model analysis results indicate that in 17 of 21 ESG-ETFs, ESG performance most effectively mitigates the deterioration of the creditworthiness of ESG-ETF’s constituent firms. This study provides an effective credit risk analysis methodology for selecting an ESG-ETF that comprises firms with better creditworthiness for investors and regulators.
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