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ESG-ETFs and the constituent firms’ default risk mitigation

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  • Kanno, Masayasu

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.

Suggested Citation

  • Kanno, Masayasu, 2025. "ESG-ETFs and the constituent firms’ default risk mitigation," Finance Research Letters, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:finlet:v:81:y:2025:i:c:s1544612325006440
    DOI: 10.1016/j.frl.2025.107384
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    References listed on IDEAS

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    Keywords

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    JEL classification:

    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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