Research On Credit Risk Management Of Supply Chain Finance Business Of Commercial Banks In China

Along with the supply-side structural reform in our country in an orderly way,China has clearly proposed to develop the supply chain vigorously.The development of the supply chain can not only form the coordination development mechanism of upstream and downstream enterprises,but also contribute to our country's industrial convergence,help enterprise accurate match between supply and demand in our country,promote the transformation and upgrading of our country's industry.Finance is the lifeblood of the economy,therefore,led by commercial banks,financial institutions should also be involved in the supply chain,to develop the supply chain finance.Through its own advantage in found flow management,improve the operational efficiency of the supply chain.At the same time,it also expand the new profit growth points for the commercial banks themselves.At the request of the safety management,the top priority of commercial bank to develop the supply chain finance business is to carry out credit risk management.This paper has study the theory of supply chain finance and analyzed about the supply chain of financial credit risk from information asymmetry theory,trade financing theory and principal-agent theory.Through analyse the main mode of supply chain finance business about accounts receivable mode,advance payment mode and stock financing mode,this paper has been clear about the causes and characteristics of credit risk of the supply chain finance business in China's banks.Then,this paper selects the data and information in automobile industry's companies in China,by analyzing the core enterprise,finance enterprise,supply chain and the characteristics of the pledge to build a index system.This index system contains 19 qualitative and quantitative indicators of credit risk evaluation.The research samples of enterprises in the automobile industry are chosen because of the improvement of the supply chain finance development in China's automobile industry.By using principal component analysis and Logistic regression,this paper come up with a Logistic regression model with accurate credit risk prediction was obtained.Through qualitative analysis and empirical analysis,this paper put forward the following suggestions for the supply chain finance credit risk management of commercial banks in China from the credit rating ideas,scientific credit rating system,product innovation and talent cultivation: First,in order to reduce the influence of traditional credit rating thinking on supply chain financial credit evaluation,commercialbanks should set up advance risk warning mechanism and contingency plans;Second,when a commercial bank gives credit to a financing enterprise,in addition to considering the guarantee of the core enterprise to the financing enterprise,also cannot ignore financing enterprise's operating conditions.Therefore,commercial banks should be incorporated into a variety of factors,using a more accurate mathematical model,establish a scientific credit rating system;Third,commercial banks should strengthen product innovation,according to the characteristics of different industries,different supply chain,to provide financing enterprise targeted personalized products.In this way commercial banks can improve the efficiency of the supply chain and reduce the possibility of credit risk from the source.Fourth,commercial banks should intensify the training of professional talents with comprehensive quality to adapt to the healthy and sustainable development of the complex business of supply chain finance.The innovation of this paper is,first of all,this paper set up a index system,which has cover four factors that affect the bank's credit risk of financial business of the supply chain.In this index system,the factor of small and medium-sized enterprise's management ability had being taken seriously;secondly,this paper applies the data of sample enterprise from 2013 to 2016,in this way,the influence of the change of trade relations between enterprises can be reflected to a certain extent.