Research On Credit Risk Measurement Of Automotive Supply Chain Finance

As a pillar enterprise of the national economy,the automobile industry has a long industrial chain and involves many enterprises.The healthy development of the automobile industry contributes greatly to economic growth and employment.In the automotive supply chain,mid-stream vehicle manufacturing enterprises occupy an absolute advantage,most of which are well-known enterprises at home and abroad.In contrast,the upstream and downstream of the supply chain is composed of small and medium-sized component manufacturers and distributors.As a result of the absolute superiority position,the midstream core enterprise often to the upstream credit purchase,to the downstream advance payment.This greatly increased the small and medium-sized enterprises operating capital needs,financial costs increase.In order to solve such problems,automotive supply chain finance emerged.Compared with traditional financing methods,supply chain finance has more advantages in alleviating the financing difficulties of smes.Automotive supply chain finance can extend the credit of the core enterprises up and down the whole supply chain to benefit the enterprises,so as to maximize the overall benefits and enhance the competitiveness of the supply chain.Due to its unique financing structure arrangement,the risk measurement model is also very different.The traditional credit model pays more attention to the asset quality of the enterprise mortgage,while supply chain finance is a "self-compensation financing model",and the repayment source is usually the cash flow generated by the transaction.This enables smes to obtain funds based on real transactions in the case of insufficient collateral and collateral,and also forces financial institutions to change the original risk assessment model of heavy qualification and heavy mortgage.How to develop a risk assessment model suitable for supply chain finance in the automotive industry has become an important problem restricting the development of the automotive industry.By combining theoretical analysis and empirical test,this paper innovates theindex system by combining the characteristics of traditional sme credit risk assessment system and supply chain finance with core enterprise qualification,supply chain status and transaction asset status.Then through the index system,the neural network model is trained and tested with empirical data to evaluate the effectiveness of the model.And combining theory with practice,it provides relevant Suggestions for financial institutions involved in supply chain finance.