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Bank's Self-learning Process in a Gray System of Credit Risk

Bank's Self-learning Process in a Gray System of Credit Risk
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摘要 A bank had better ration its credit if it first enters a gray system of credit information where it cannot distinguish between the low- and high-risk borrowers. As the bank keeps a long-term relationship with its borrowers the bank learns about the borrowers through time. With the help of logit model and Bayes ruIe, a bank can process customer's credit information and build a better credit term it gives. A bank had better ration its credit if it first enters a gray system of credit information where it cannot distinguish between the low- and high-risk borrowers. As the bank keeps a long-term relationship with its borrowers the bank learns about the borrowers through time. With the help of logit model and Bayes ruIe, a bank can process customer's credit information and build a better credit term it gives.
出处 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2001年第4期457-462,共6页 系统科学与系统工程学报(英文版)
关键词 credit rationing logit model Bayes rule credit rationing logit model Bayes rule
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参考文献2

  • 1[1]Greenbaum Stuart I, Thaker Anjanv. Contemporary Financial Intermediation. London: Dryden Press, 1995, 269~273.
  • 2[2]Pindyck Robert S, Rubinfeld Daniel L. Econometric Models and Economic Forecasts. Fourth Edition, New York:McGraw-Hill, 1998, 307~310.

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