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CRISK: Measuring the Climate Risk Exposure of the Financial System

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Abstract

We develop a market-based methodology to assess banks’ resilience to climate-related risks and study the climate-related risk exposure of large global banks. We introduce a new measure, CRISK, which is the expected capital shortfall of a bank in a climate stress scenario. To estimate CRISK, we construct climate risk factors and dynamically measure banks’ stock return sensitivity (that is, climate beta) to the climate risk factor. We validate the climate risk factor empirically and the climate beta estimates by using granular data on large U.S. banks’ loan portfolios. The measure is useful in quantifying banks’ climate-related risk exposure through the market risk and the credit risk channels.

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  • Richard Berner & Robert Engle & Hyeyoon Jung, 2021. "CRISK: Measuring the Climate Risk Exposure of the Financial System," Staff Reports 977, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednsr:93069
    Note: Revised March 2023. Previous title: “Climate Stress Testing”
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    References listed on IDEAS

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    1. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    2. Bolton, Patrick & Kacperczyk, Marcin, 2021. "Do investors care about carbon risk?," Journal of Financial Economics, Elsevier, vol. 142(2), pages 517-549.
    3. Edith Ginglinger & Quentin Moreau, 2023. "Climate Risk and Capital Structure," Management Science, INFORMS, vol. 69(12), pages 7492-7516, December.
    4. Reinders, Henk Jan & Schoenmaker, Dirk & van Dijk, Mathijs, 2023. "A finance approach to climate stress testing," Journal of International Money and Finance, Elsevier, vol. 131(C).
    5. Acharya, Viral & Engle, Robert & Pierret, Diane, 2014. "Testing macroprudential stress tests: The risk of regulatory risk weights," Journal of Monetary Economics, Elsevier, vol. 65(C), pages 36-53.
    6. Michael Schwert, 2018. "Bank Capital and Lending Relationships," Journal of Finance, American Finance Association, vol. 73(2), pages 787-830, April.
    7. Sudheer Chava, 2014. "Environmental Externalities and Cost of Capital," Management Science, INFORMS, vol. 60(9), pages 2223-2247, September.
    8. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    9. Philipp Krueger & Zacharias Sautner & Laura T Starks, 2020. "The Importance of Climate Risks for Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 33(3), pages 1067-1111.
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    Cited by:

    1. Laura Bakkensen & Toan Phan & Russell Wong, 2023. "Leveraging the Disagreement on Climate Change: Theory and Evidence," Working Paper 23-01, Federal Reserve Bank of Richmond.
    2. Giulia Bettin & Gian Marco Mensi & Maria Cristina Recchioni, 2023. "Multifactor Risk Attribution Applied to Systemic, Climate and Geopolitical Tail Risks for the Eurozone Banking Sector," Risks, MDPI, vol. 11(10), pages 1-26, September.
    3. Breckenfelder, Johannes & Maćkowiak, Bartosz & Marqués-Ibáñez, David & Olovsson, Conny & Popov, Alexander & Porcellacchia, Davide & Schepens, Glenn, 2023. "The climate and the economy," Working Paper Series 2793, European Central Bank.

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    More about this item

    Keywords

    climate risk; financial stability; systemic risk;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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