Research on Optimal Anti-money Laundering Model Based on E-Commerce Environment

SHENG LUO, BIN GU

Abstract


This study will be online anti-money laundering as the research object. According to the characteristics of China's online money laundering, and build a game model composed of money laundering people, third party payment institutions, commercial banks and regulatory agencies. This model is used to analyze the social welfare loss caused by “money laundering†and “anti-money launderingâ€. Based on the cost-benefit analysis and game theory, this paper studies the utility function and behavior strategies of market players, and the model is simulated, and put forward relevant policy and recommendations to curb online money laundering.

Keywords


Online payment, Anti-money laundering, Game analysis.


DOI
10.12783/dtetr/ecame2017/18464

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