Research On The Measurement Of Credit Risk In Supply Chain Finance Based On CVaR Model

Financing hardly and expensively is a big dilemma in the development of SMEs in the present, which is also the focus of theoretical research at the present.Among these SMEs, banks how to find an object which is worthy of credit, provide financing services to him and promote the availability of funds, in order to expand the scope of profitability and in this process the banks can well controll the risk.To find these SMEs is starting from the two aspects of the thesis. The first aspect is the study of supply chain and supply chain finance theory. By studying the relevant literature, and the thesis gradually find the SMEs which are good credit objects, based on supply chain finance theory. These enterprises, through the supply chain advantages, mutual cooperation and process management, can continue to complement each other in the production process, and also can quickly react and adjust, through the coordination of the market, so they can greatly reduce the cost and risk, and constantly enhance to achieve mutual benefit and win total competitiveness of the supply chain. On the other aspect, by learning and studying the CVa R model theory, it give an innovative way to use the model to prevent supply chain finance credit risk, measure its credit risk, and derive the value and last give the bank leaders distinct visualization of the risk, so the managers can make its countermeasures to control the loss of risk. In the end, first, it is able to financing for SMEs to address the the predicament of development; secondly, it is able for the bank to get more customers and improve credit income, then under the auxiliary of Credit Metrics model and fuzzy comprehensive evaluation, by CVa R model, it measures the credit risk to provide the basis for the bank to control risk, and finally it comes up with strategies to prevent related credit risk.So base on supply chain and supply chain finance theory,with the core business of credit as a starting point, with Credit Metrics model and fuzzy evaluation as an auxiliary, based on the application of CVa R model theory,the thesis constructs CVa R model. With the core enterprise credit as the basis and three kinds of financing mode as the carrier, and it measures the credit risk on the empirical study, and gives the banks early warning about the credit risk to avoid the risk of credit arising. For credit risk, the thesis also proposes several measures of credit risk management to improve the bank’s capabilities of credit risk management, and ultimately makes the banks provide better services for SMEs and improve their profitability.