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Turbulent Years for U.S. Banks: 2000-20

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  • Paul W. Wilson

Abstract

The first 20 years of the twenty-first century have presented U.S. banks with three recessions, long periods of very low interest rates, and increased regulation. The number of commercial banks operating in the United States declined by 51 percent during this period. This article examines the performance of U.S. commercial banks from 2000 through 2020. An overall picture is provided by examining the evolution of assets, deposits, loans, and other financial characteristics over the period. In addition, new estimates of technical inefficiency are provided, offering additional insight into banks' performance during the recent difficult years.

Suggested Citation

  • Paul W. Wilson, 2022. "Turbulent Years for U.S. Banks: 2000-20," Review, Federal Reserve Bank of St. Louis, vol. 104(3), pages 189-209, July.
    • Handle: RePEc:fip:fedlrv:94230
    DOI: 10.20955/r.104.189-209
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    References listed on IDEAS

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    1. David C. Wheelock & Paul W. Wilson, 2012. "Do Large Banks Have Lower Costs? New Estimates of Returns to Scale for U.S. Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 171-199, February.
    2. Henderson,Daniel J. & Parmeter,Christopher F., 2015. "Applied Nonparametric Econometrics," Cambridge Books, Cambridge University Press, number 9781107010253, September.
    3. Léopold Simar & Ingrid Keilegom & Valentin Zelenyuk, 2017. "Nonparametric least squares methods for stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 47(3), pages 189-204, June.
    4. Léopold Simar & Paul W. Wilson, 2023. "Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1391-1403, October.
    5. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    6. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
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    More about this item

    Keywords

    commercial banks; assets; deposits; loans;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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