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The Effects of Management Decisions on Agricultural Bank Failures

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  • Michael T. Belongia
  • R. Alton Gilbert

Abstract

The assertion that local economic conditions have been responsible for the failures of large numbers of agricultural banks is investigated by pairing solvent and failed banks within rural counties and examining whether balance sheet items alone explain differences in the probability of failure for the two groups of banks. Estimation of a probit model indicates that higher ratios of loans to assets and agricultural to total loans were associated with higher probabilities of failure; banks with higher capital ratios and those affiliated with multibank holding companies had lower probabilities of failure.

Suggested Citation

  • Michael T. Belongia & R. Alton Gilbert, 1990. "The Effects of Management Decisions on Agricultural Bank Failures," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(4), pages 901-910.
    • Handle: RePEc:oup:ajagec:v:72:y:1990:i:4:p:901-910.
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    File URL: http://hdl.handle.net/10.2307/1242622
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    Cited by:

    1. Li, Xiaofei & Escalante, Cesar L. & Epperson, James E. & Gunter, Lewell F., 2012. "Agricultural Banking and Early Warning Models for the Bank Failures of the Late 2000s Great Recession," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119656, Southern Agricultural Economics Association.
    2. R. Alton Gilbert & Andrew P. Meyer & Mark D. Vaughan, 1999. "The role of supervisory screens and econometric models in off-site surveillance," Review, Federal Reserve Bank of St. Louis, vol. 81(Nov), pages 31-56.
    3. Larry D. Wall, 2021. "So Far, So Good: Government Insurance of Financial Sector Tail Risk," Policy Hub, Federal Reserve Bank of Atlanta, vol. 2021(13), November.
    4. Andrew Logan, 2001. "The United Kingdom's small banks' crisis of the early 1990s: what were the leading indicators of failure?," Bank of England working papers 139, Bank of England.

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