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Credit Risk Game Simulation for Supply Chain Finance Based on Multi-agent
| Content Provider | Semantic Scholar |
|---|---|
| Author | Su, Yuan-Chang |
| Copyright Year | 2016 |
| Abstract | 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. |
| Starting Page | 77 |
| Ending Page | 90 |
| Page Count | 14 |
| File Format | PDF HTM / HTML |
| DOI | 10.14257/ijunesst.2016.9.4.09 |
| Volume Number | 9 |
| Alternate Webpage(s) | http://www.sersc.org/journals/IJUNESST/vol9_no4/9.pdf |
| Alternate Webpage(s) | https://doi.org/10.14257/ijunesst.2016.9.4.09 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
