Research On The Risks Of The New Logistics Bank Operation Model

At present, enterprises have more and more difficult to collect finance capital. Meanwhile, the cost of logistics is still so high. Under this circumstance, logistics bank operation has an opportunity to generate. However, logistics bank operation just starts.So it needs incessant changes, and seeks development in innovation. It has't formed a Unify model standard to operation.. At the same time, the operation has some degrees of risk. So the standardization of the operation model and the control of the operation risk has to be resolved as soon as possible.In order to evade the risks of Logistics Bank operation, the article bring forward the exercisable tactics of risk control and systematic prewarning mechanism in Standing banking and logistics enterprises Position. Meanwhile, on the basis of fuzzy mathematics theory, this article brings forward the evaluation model of fuzzy risks, according to which, we get the variance coefficients value which feedback the risks degree . Comparing the Value with risk warning reference point which has been set up we can measure the degree of risks and supervise the high risk operation. We unites the qualitative and quantitative methods to control and evaluate the risks. The article provides good mechanisms and modle for banks and logistics corporations in the aspects of reducing the risks, centralizing banks and Logistics corporations' advantage resource , supervising and improving operation.First, the article introduces the history and present situation about the logistics bank operation . It also discusses the operation functions and the factors of the participants concerned.They give us a relative theoretic basis. Second, we can see the conclusion and investigation to the new mode of logistic banking operation in the article. Then, we research the methods of the risk control. It includes the tactics of risk control, systematic prewarning mechanism and the evaluation model of fuzzy risks. Finally, though a logistics bank case to validate the systematic prewarning mechanism and the evaluation model of fuzzy risks.