Credit Risk Assessment Of SMEs In China's Supply Chain Financing

Financing difficulties of small and medium-sized enterprises have been widespread in China,and government departments have been actively introducing relevant policies to support them.However,small and medium-sized enterprises can not effectively provide credible enterprise information because of their limited scale,lack of human resources and other factors,which makes it difficult for small and medium-sized enterprises to obtain financing through conventional channels.Supply chain financing greatly reduces the financing threshold of SMEs through credit endorsement or guarantee of core enterprises in the supply chain,and provides a new way to solve the financing difficulties of SMEs.But at present,the credit risk of SMEs in supply chain financing can not be determined effectively.As a result,the supply chain financing business is always at the stage of business exploration,and a large number of high-quality SMEs that meet the financing conditions can not obtain financing.Therefore,scientific,effective and comprehensive evaluation of SMEs'credit risk in supply chain financing has become the primary task to promote supply chain financing services and enhance SMEs'financing ability.Based on the research results of previous scholars,this paper optimizes the credit evaluation index system and evaluation method of SMEs in supply chain financing,and provides decision-making advice for commercial banks to carry out supply chain financing business.This paper consists of four parts:The first part,systematically elaborates the basic theory of supply chain and supply chain financing,summarizes the characteristics of supply chain itself,distinguishes the differences between supply chain financing and traditional financing,defines the main scope of credit risk assessment,and finally,through the analysis of various existing credit risk assessment models,understands the advantages and disadvantages of each evaluation model,which is the model of this paper.Choice provides theoretical basis.In the second part,combined with the characteristics of supply chain financing and the principles of index system construction,the credit risk evaluation index system of SMEs in supply chain financing with 28 index dimensions was established through literature screening,expert evaluation and correlation analysis.In the third part,150 sets of sample data that meet the index system are randomly divided into training group and testing group and are brought into the BP neural network model under the environment of MATLAB to predict the model.At the same time,AUC discriminant power test is carried out on the model prediction results under the original sample data and Bootstrap sample data to prove the credit risk assessment system of SMEs in supply chain financing based on BP neural network.In general,it can effectively distinguish the high-quality enterprises in SMEs in supply chain,provide reference for commercial banks to make credit decisions,and enhance the profitability of commercial banks.The fourth part,based on the research of this paper,puts forward relevant suggestions on how SMEs in supply chain can effectively carry out supply chain financing business with commercial banks.