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The Effects of Climate Change and Climate Policy on Credit Risk

Author

Listed:
  • Matthijs Leegstra

    (Erasmus University Rotterdam)

  • Erik Kole

    (Erasmus University Rotterdam)

  • Rasmus Lönn

    (Erasmus University Rotterdam)

Abstract

This study examines how climate-related physical and transition risks affect credit risk. We develop a modular framework based on a threshold model for credit migrations, linking the latent credit cycle to key economic indicators to measure credit risk in corporate bond markets. Using historical rating migrations, we estimate the model parameters and apply the framework to U.S. data to assess the implications of alternative transition scenarios. These scenarios generate projected paths for credit cycles that differ markedly in direction, magnitude, and volatility. These differences translate into substantial variation in both expected losses and tail risks for diversified bond portfolios. Notably, high-quality bond cohorts are also sensitive to policy choices. Comparisons with a continuation of current policies show that orderly transitions, characterized by reduced physical damages and increased transition costs, entail higher initial expenses but deliver net savings from 2035 onward. In contrast, disorderly transitions result in steep cost increases after 2030 and overall higher costs by 2050.

Suggested Citation

  • Matthijs Leegstra & Erik Kole & Rasmus Lönn, 2026. "The Effects of Climate Change and Climate Policy on Credit Risk," Tinbergen Institute Discussion Papers 26-010/IV, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20260010
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    References listed on IDEAS

    as
    1. Drew Creal & Bernd Schwaab & Siem Jan Koopman & Andr� Lucas, 2014. "Observation-Driven Mixed-Measurement Dynamic Factor Models with an Application to Credit Risk," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 898-915, December.
    2. Bart Keijsers & Bart Diris & Erik Kole, 2018. "Cyclicality in losses on bank loans," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(4), pages 533-552, June.
    3. Javadi, Siamak & Masum, Abdullah-Al, 2021. "The impact of climate change on the cost of bank loans," Journal of Corporate Finance, Elsevier, vol. 69(C).
    4. Borio, Claudio & Drehmann, Mathias & Tsatsaronis, Kostas, 2014. "Stress-testing macro stress testing: Does it live up to expectations?," Journal of Financial Stability, Elsevier, vol. 12(C), pages 3-15.
    5. Bernd Schwaab & Siem Jan Koopman & André Lucas, 2017. "Global Credit Risk: World, Country and Industry Factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 296-317, March.
    Full references (including those not matched with items on IDEAS)

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    Keywords

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    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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