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Determining the Probability of Default of Agricultural Loans in a French Bank

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  • Jouault, Amelie
  • Featherstone, Allen M.

Abstract

Recently, financial institutions have developed improved internal risk rating systems and emphasized the probability of default and loss given default. Also they have been affected by globalization and it became important to understand the way foreign banks operate. The probability of default is studied for 756 loans from a French bank: CIC- Banque SNVB. A binomial logit regression is used to estimate a model of the probability of default of an agribusiness loan. The results show that leverage, profitability and liquidity at loan origination are good indicators of the probability of default. The loan length is another good indicator of the probability of default. Also it is more accurate to develop a model for each type of collateral (activity).

Suggested Citation

  • Jouault, Amelie & Featherstone, Allen M., 2006. "Determining the Probability of Default of Agricultural Loans in a French Bank," 2006 Annual meeting, July 23-26, Long Beach, CA 21376, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea06:21376
    DOI: 10.22004/ag.econ.21376
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    Cited by:

    1. Jarko Fidrmuc & Pavel Ciaian & d'Artis Kancs & Jan Pokrivcak, 2013. "Credit Constraints, Heterogeneous Firms and Loan Defaults," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 53-68, May.
    2. Ferreira-Filho, Joaquim Bento de Souza & Horridge, Mark, 2010. "Climate Change Impacts on Agriculture and Internal Migrations in Brazil," Conference papers 331926, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

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