主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院

Chinese Journal of Management Science ›› 2007, Vol. 15 ›› Issue (3): 85-92.

Previous Articles     Next Articles

Research on Risk Assessment of Corporate Credit Based on Supply Chain

YU Rui-feng1, REN Yan-min1, WANG Yu2, LIU Li-wen3   

  1. 1. Department of Industrial Engineering, Tsinghua University, Beijing 100084, China;
    2. Export-Import Bank of China, Beijing 100009, China;
    3. School of Economics and Management, Tsinghua University, Beijing 100084, China
  • Received:2006-02-21 Revised:2007-04-11 Online:2007-06-30 Published:2007-06-30

Abstract: A new index system for evaluating the corporate credit risk is presented,which can comprehen sively evaluate t he corporate's ability of refunding bank's money.It gets rid of the shortcoming of only in sularly evaluating the specific corporate applying for the loan in the present research.Applying the method of BP Neural Net works,the new quantitative evaluation model on risk assessment o f corporate credit is de veloped.The results of examples show that the proposed model is feasible and accurate for dealing with the risk assessment of corporate credit.

Key words: credit risk assessment, supply chain, neural network

CLC Number: