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Bailouts and the modeling of bank distress

Author

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  • Koresh Galil
  • Margalit Samuel
  • Offer Moshe Shapir
  • Wolf Wagner

Abstract

In this article, we develop a model for predicting distress events among large banks. We show that a bailout possibility induces different behaviors among small and large banks, and the proposed failure prediction model for large banks is thus considerably different from that for small banks. Major bank‐level fundamentals show opposite conjecture directions for large versus small banks. The Tier 1 capital ratio, which is under the scrutiny of regulators and investors, has almost no distress prediction power among large banks. However, banks rescued by governments tend to maintain a lower Tier 1 ratio. The cost of funding in large banks is negatively correlated with the probability of failure, reflecting the fact that lenders internalize the too‐big‐to‐fail (TBTF) policy and demand a lower interest rate from TBTF banks.

Suggested Citation

  • Koresh Galil & Margalit Samuel & Offer Moshe Shapir & Wolf Wagner, 2023. "Bailouts and the modeling of bank distress," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 46(1), pages 7-30, February.
  • Handle: RePEc:bla:jfnres:v:46:y:2023:i:1:p:7-30
    DOI: 10.1111/jfir.12313
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