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논문검색

Credit Risk Game Simulation for Supply Chain Finance Based on Multi-agent

초록

영어

Supply chain finance (SCF) is an efficient method to solve SMEs’ financing problem, credit risk is the core issue of SCF, game simulation is a new perspective in the research of credit risk. From the view of bounded rational, this paper presents “Replicator dynamic” rules that based on “Reinforcement learning” and “Imitation learning”. Then constructs two game simulation models: SMEs lending union game simulation model and Banks-SMEs game simulation model, and using multi-agent simulation to simulate. The simulations solve the following problems: analyzing the risk stability of single group and multi-group replicator dynamic systems, respectively; Introducing Brownian motion, changing the deterministic dynamic system to a random dynamic system, then analyzing its risk stability; Influence on the system’s risk stability from the change of storage company’s decision. The guiding significance of the simulation results is to improve SCF credit risk management of banks.

목차

Abstract
 1. Introduction
 2. Model Preparation
 3. Multi-Agent Game Simulation Based on Replicator Dynamic
  3.1. The Activity Rules Under Replicator Dynamic
  3.2. Replicator Dynamical Model
  3.3. The Multi-Player Game Simulation of SMEs’ Credit Union
  3.4. The Multi-Player Game Simulation of Banks and SMEs
  3.5. The New Model with “Change” —— Bank-SME-Storage Company Model
 4. Conclusion
 Acknowledgments
 References

저자정보

  • Yue-liang Su School of Business Administration, South China University of Technology, Guangzhou, China
  • Nan Lu School of Business Administration, South China University of Technology, Guangzhou, China

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