Based On Minsheng Bank's Logistics Banking Risk Management Research

The current rapid development of logistics industry in the world, has penetrated into all areas of development as an integral part of all walks of life. In the logistics field, there is widespread "1 + N" in the flow model, that a core vendors, N is a number of SME / distributor. Core vendors can use their dominance of possession of SME / distributor of funds, for example, through advances in the form of make up for their funding requirements. The advance payment of a large number of SMEs in the lack of liquidity after the situation, they desperately need to exogenous financial support. Because of its small size, operating non-standard, low financial transparency reasons, the small and medium enterprises through the issuance of stocks and bonds is difficult to obtain financial support, can turn to banks for loans.SMEs hold a huge amount of liquid assets and current assets turnover conditions are well known for the logistics company, which appeared to control the banks and logistics companies through the regulatory SME asset-backed and debt repayment, and then release flow to SMEs Asset-backed loans new business model, that the logistics bank. But the logistics of the business for the banks, banks are a new business, while as a third-party logistics management company's overall management is limited, so the logistics business in the implementation and supervision of banks can be said is not perfect, of which the risks will become The focus of most concern, which is the focus of our research.This paper, literature research and case analysis methods were combined analysis of normative theory. In the risk management of logistics-related banking business on the basis of discourse theory to real cases as a model, empirical analysis of banking Minsheng Banking logistics specific risk management measures, put forward a more systematic framework and logistics Bank Business risk management system and risk management system in conjunction with the detail of which credit risk, operational risk and market risk identification and defuse.