Catch the Thief! Fraud in the U.S. Banking Industry

Abstract Little is known about fraud in the financial services sector. Using a rich supervisory data set, this study dissects fraud at large U.S. banking organizations. We find that the impact of fraud extends beyond direct monetary costs. Severe tail fraud events lead banks to significantly reduce loan growth, with effects more pronounced at institutions with weaker capital and liquidity positions. We further document that tail fraud shocks are associated with tighter loan contract terms, even after controlling for borrower risk. These credit supply effects ultimately transmit to the real economy through reduced corporate investment among affected banks’ borrowers. Our analysis provides new detailed evidence on fraud in the U.S. financial services industry and its costs and consequences.

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Publication Details

Journal
The Review of Corporate Finance Studies
Published
2025-12-21
DOI
https://doi.org/10.1093/rcfs/cfaf027
Citations
1
Primary Topic
Imbalanced Data Classification Techniques
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

Catch the Thief! Fraud in the U.S. Banking Industry

Atanas Mihov, Filippo Curti
1 citations
The Review of Corporate Finance Studies
Imbalanced Data Classification Techniques
2.48
article

Catch the Thief! Fraud in the U.S. Banking Industry

Atanas Mihov, Filippo Curti
article en
1 citations

Abstract

Abstract Little is known about fraud in the financial services sector. Using a rich supervisory data set, this study dissects fraud at large U.S. banking organizations. We find that the impact of fraud extends beyond direct monetary costs. Severe tail fraud events lead banks to significantly reduce loan growth, with effects more pronounced at institutions with weaker capital and liquidity positions. We further document that tail fraud shocks are associated with tighter loan contract terms, even after controlling for borrower risk. These credit supply effects ultimately transmit to the real economy through reduced corporate investment among affected banks’ borrowers. Our analysis provides new detailed evidence on fraud in the U.S. financial services industry and its costs and consequences.

The Review of Corporate Finance Studies
University of Kansas (US), Federal Reserve Bank of Richmond (US)
Openalex Percentile: Top 6%
Imbalanced Data Classification Techniques
2.48
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