Simulation of Game Model for Supply Chain Finance Credit Risk Based on Multi-Agent

摘要

Supply chain finance is an efficient method to solve SME’s financing problem. A core issue is to simulate the supply chain finance system’s real operations. To solve the problem, this paper designs a simulation model for supply chain finance based on Simon’s bounded rationality with multiagent simulation technique instead of absolute rationality. The influences of the behaviors of bank, SME and warehousing company on credit risk of the supply chain finance are simulated and managerial insights are given. The research can help to reduce credit risk of bank loan while increasing the supply chain system’s benefit.