Research On Risk Assessment Of Supply Chain Account Receivable Financing Based On Evolution Game Theory

Supply chain finance involves multiple sources of risk.Its risk evaluation and decision-making have always been a major problem that plagues financial institutions.Designing a scientific risk evaluation index system based on a comprehensive understanding of business processes is a major breakthrough in solving problems.In recent years,supply chain finance has introduced core enterprises and supply chain credit to carry out order,inventory and account receivable financing for SMEs,effectively solving the financing problems of SMEs in China,it also promotes the innovation of financial models characterized by industry chain financing.Unlike traditional finance,supply chain finance has dual credit guarantees for core enterprises and collateral.To a certain extent,it can reduce the risks faced by financial institutions.It is for this reason that financial institutions will face more complex and diverse risks,and the source of risk has also expanded from the SMEs themselves to the entire supply chain.In order to better promote supply chain finance,help financial institutions fully understand and evaluate supply chain financial risks,and make scientific financing decisions,it is necessary to systematically study the supply chain financial risks faced by China's financing institutions.With the theme of account receivable financing,the existing risk evaluation literature lacks a certain logical system and theoretical basis in the selection and setting of indicators,this article first builds an evolutionary game model for core companies and SMEs based on the supply chain receivable financing business process,set and select risk evaluation indicators based on game analysis,by solving the model equilibrium solution,there are five types of risk factors for the financing business:external environmental factors,financing enterprise factors,core enterprise factors,financing target factors,and supply chain operation factors.Then,using these five factors as the first-level indicator framework for risk assessment,and using game analysis details,business theory and practical knowledge to select the appropriate second-level assessment indicators,we set up and optimize the supply chain receivables financing risk assessment indicator system.On this basis,according to the characteristics of theevaluation index system,establish an appropriate BP neural network model,and use past business as sample data perform BP neutral model train and learn to obtain a comprehensive evaluation model of supply chain receivables financing risk,and the effectiveness of the model was verified by simulation.Finally,the results of BP neural network training are used to draw the conclusion that the evaluation index system established in this paper has high credibility,and based on the similarity of risk sources and business characteristics of different models of supply chain finance,from business institutions and government regulatory agencies perspective,the paper puts forward the suggestions of supply chain financial risk management and control.