Climate-Related Financial Stability Risks for the United States: Methods and Applications

Celso Brunetti, Matteo Crosignani, Benjamin Dennis, Gurubala Kotta (), Donald Morgan, Chaehee Shin and Ilknur Zer
Additional contact information
Gurubala Kotta: https://economics.ucdavis.edu/people/gurubala-kotta
Chaehee Shin: https://www.federalreserve.gov/econres/chaehee-shin.htm
Ilknur Zer: https://www.federalreserve.gov/econres/ilknur-zer.htm

Economic Policy Review, 2024, vol. 30, issue 1, 37 pages

Abstract: The authors review ten broad classes of models that have been used to study potential financial stability risks arising from climate change in the United States. Their lens is primarily methodological: They describe each modeling technique, its advantages and disadvantages, and its key results. They find that statistical methods, based on reduced-form econometrics, are the most used tool, followed by general equilibrium models. While no approach in isolation addresses the complexity of climate-related financial stability risks, they discuss how existing techniques can be combined to inform policymakers and the private sector about climate-related financial stability risks for the United States.

Keywords: climate; climate risk; climate change; financial stability; financial risk (search for similar items in EconPapers)
JEL-codes: C10 D58 G10 G20 Q54 (search for similar items in EconPapers)
Date: 2024
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Working Paper: Climate-related Financial Stability Risks for the United States: Methods and Applications (2022)
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DOI: 10.59576/epr.30.1.1-37

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