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Financial Classification Of Farm Businesses Using Fuzzy Systems

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  • Duval, Yann
  • Kastens, Terry L.
  • Featherstone, Allen M.

Abstract

This paper attempts to improve the ability of farm managers and lenders to forecast expected financial performance of farm businesses using a neuro-fuzzy inference system. Ex-ante farm financial performance is examined to identify the farms that are likely to become financially stressed before they actually become so.

Suggested Citation

  • Duval, Yann & Kastens, Terry L. & Featherstone, Allen M., 2002. "Financial Classification Of Farm Businesses Using Fuzzy Systems," 2002 Annual meeting, July 28-31, Long Beach, CA 19596, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea02:19596
    DOI: 10.22004/ag.econ.19596
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    References listed on IDEAS

    as
    1. Raj K. Chhikara, 1989. "The State of the Art in Credit Evaluation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(5), pages 1138-1144.
    2. Emanuel Melichar, 1984. "A financial perspective on agriculture," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Jan, pages 1-13.
    3. Steven C. Blank, 2001. "Producers get Squeezed up the Farming Food Chain: A Theory of Crop Portfolio Composition and Land Use," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 23(2), pages 404-422.
    4. Thomas, Lyn C., 2000. "A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers," International Journal of Forecasting, Elsevier, vol. 16(2), pages 149-172.
    5. G. Cornelis van Kooten & Emina Krcmar & Erwin H. Bulte, 2001. "Preference Uncertainty in Non-Market Valuation: A Fuzzy Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 487-500.
    6. Ralph Bierlen & Allen M. Featherstone, 1998. "Fundamental q, Cash Flow, and Investment: Evidence from Farm Panel Data," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 427-435, August.
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    Keywords

    Agricultural Finance;

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