Research On Credit Risk Evaluation Of Online Supply Chain Finance Based On The China's Automobile Industry

With the development of information technology,here gradually come the “on-line” revolution in supply chain finance,which is the new tendency between finance and management of entity industry supply chain with generating with the coordinated development of informatization,electronization and platformization.Automobile industry developed fastest among the various industries with the business of on-line supply chain finance.As is the major industry of the industries of China,the automobile industry account for a large proportion of GNP,on the other hand,it's relatively mature and perfect.With the development of automobile industry at top speed,the problem that it's difficult for small and medium-sized business financing both in upstream and downstream firm is increasingly apparent.The participants are various in “on-line” supply chain finance,which differs from traditional bank financing and supply chain finance.Therefor the risk factors are complicated and credit risks of commercial bank greatly increase.Here in this paper,we chose the automobile industry as the representative,took the systematic research on credit risks of “on-line” supply chain finance,and built a model of risk assessment for empirical research.Taken the relevant theory and practice of “on-line” supply chain finance for automobile industry as the start point,the author systematically studied the conception and features,the cause and evaluation features of credit risks.Compared the merit/demerit and applicability of some common methods for credit risks evaluation,finally,we confirmed the ANN-BP as the evaluate method.The author preliminary chose 50 risk evaluation index based on a mass of industry research and questionnaire survey.And finally chose 25 among them with quantitative and qualitative screening by correlation analysis and expert scoring.The author introduced the theory,arithmetic and process of ANN-BP.A credit risk evaluation model was built in the article.Then the author got 12 valid data through Issue survey in a commercial bank in Beijing.With normalization processing,3 groups of data were selected arbitrarily as the verification sample while other were taken as the training samples.Simulation result coincide well with verification sample.The accuracy and availability were checked for the model,which would be the reference for credit risks evaluation for commercial bank,small and medium-sized business carrying out their “on-line” supply chain finance business.