Research Article
Live-stream Credit Risk Analysis Based on Dynamic Game Theory
@INPROCEEDINGS{10.4108/eai.2-6-2023.2334626, author={Nana Zhang}, title={Live-stream Credit Risk Analysis Based on Dynamic Game Theory}, proceedings={Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2--4, 2023, Nanchang, China}, publisher={EAI}, proceedings_a={ICIDC}, year={2023}, month={8}, keywords={live-stream e-commerce credit risk game theory live-stream merchants live-stream platform}, doi={10.4108/eai.2-6-2023.2334626} }- Nana Zhang
Year: 2023
Live-stream Credit Risk Analysis Based on Dynamic Game Theory
ICIDC
EAI
DOI: 10.4108/eai.2-6-2023.2334626
Abstract
Live-stream e-commerce has been developed dramatically in recent years and COVID lockdown propelled it even further. However, with the increasingly serious problem of lack of integrity, credit risk has become one of the important factors that seriously hinder the healthy development of live-stream e-commerce. In response to this problem, this paper uses the dynamic game theory to systematically analyze the generation mechanism of the credit risk of the two participants in live-stream e-commerce activity, the live merchants and the live platform, and discusses the key factors that affect the occurrence of credit risk. The results show that the degree of violation of live-stream merchants is inversely proportional to the degree of punishment, the discount factor and the probability of credit supervision of the live-stream platform; while the degree of credit supervision of the live-stream platform is inversely proportional to the degree of punishment, the square of the discount factor of live-stream merchant, and the credit supervision of the live-stream platform.