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.
| Original language | American English |
|---|---|
| Pages (from-to) | 7-30 |
| Number of pages | 24 |
| Journal | Journal of Financial Research |
| Volume | 46 |
| Issue number | 1 |
| DOIs | |
| State | Published - 1 Feb 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
All Science Journal Classification (ASJC) codes
- Accounting
- Finance
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