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Money laundering and bank risk: Evidence from U.S. banks

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  • Yener Altunbaş
  • John Thornton
  • Yurtsev Uymaz

Abstract

We test for a link between bank risk and enforcements issued by U.S. regulators against banks for money laundering (ML) in a sample of 960 publicly listed U.S. banks over 2004–2015. ML‐related enforcements are associated with increased bank risk on several measures of risk with the result robust to a variety of estimation methodologies. Moreover, the impact of ML on bank risk is accentuated by the presence of powerful CEOs and only partly mitigated by large and independent executive boards.

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  • Yener Altunbaş & John Thornton & Yurtsev Uymaz, 2021. "Money laundering and bank risk: Evidence from U.S. banks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 4879-4894, October.
  • Handle: RePEc:wly:ijfiec:v:26:y:2021:i:4:p:4879-4894
    DOI: 10.1002/ijfe.2044
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    Cited by:

    1. Zhang, Guike & Gao, Zengan & Dong, June & Mei, Dexiang, 2023. "Machine learning approaches for constructing the national anti-money laundering index," Finance Research Letters, Elsevier, vol. 52(C).

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    More about this item

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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