The Research Of Logistics Finance Credit Risk Management Based On Game Theory

SME financing is a worldwide hard problem, even in developed country whose financial system is well-developed, the problem still exists, the fundamental reason is that SMEs lack of sufficient credit history, and also lack of sufficient collateral materials, so it is difficult for them to achieve the financing requirements of financial institutions. In this context, in recent years, the gradual rising and booming of logistics financial services in the corporate practice, provides a realistic and effective way to solve the problem of SMEs financing,and attract the attention of logistics sector and financial communityHowever, logistics financial services as a innovative products of financial and logistics services, there are many issues of its own to be researched, and the rise of the new business also brought commercial banks and logistics companies with different risk from the past, which first to be surfaced on is credit risk. Whether we can effectively analyze and manage credit risk is the key problem to logistics financial success.In the past credit risk control primarily focused on the evaluation and measurement of objective credit risk, rather more difficult to control in the practical application is subjective credit risk, and the measurement model is dependent on the decision-makers' choice, but little consideration to the choice of the other party. The source of subjective credit risk is moral hazard arising from information asymmetry, so the use of game theory to analyze credit risk, reflecting the deep interests game relationship of participants, more in-depth mining the nature reason of credit risk, in order to more effectively control.This article researches logistics financial credit risk management, In accordance with the risk identification-risk analysis based on game theory and empirical-risk control procedures.First, the thesis identifies credit risk, analysis the financial credit risk that banks and logistics companies in the logistics financial business could face.Second, the thesis applies game theory to the measurement of logistics financial credit risk, mainly to measure the probability of breach a contract for financing companies, the probability of conspiracy for financing companies and logistics companies, to identify the factors affecting the probability of default, in specific logistics financing business, so as to provide the theoretical basis of control credit risk.Then, another part of the thesis is an empirical analysis of Shenzhen Development Bank for example.Finally, on the basis of previous paper, respectively, puts forward logistics financial credit risk control recommendations from government departments and main part of logistics financial, then views and summarizes the text, puts forward for further research.Through this research, the author attempts to provide effective analysis models and theoretical basis for controlling the logistics financial credit risk, to provide a new way of thinking and method to manage the risk, thus promoting the development of China's logistics and finance.