Research On Supply Chain Finance Credit Risk Evaluation

In this paper, the supply chain finance credit risk was systematically studied based on the perspective of the commercial bank system. After reviewing the paper’s selected topic background and the significance and the Overseas and Domestic Research Status, the research framework is made. The innovation of the thesis lies in: combining the principal component analysis with the adaptive weight risk assessment system, constructing the financial credit risk evaluation system of supply chain, making the academia model the theory of supply chain finance credit risk evaluation; reducing the original variable dimension, simplifying the index system of the adaptive weight evaluation system under the condition of not losing too much information of the original variable, and applying the adaptive weighting risk assessment system to the risk assessment of the target enterprise, which has a certain practical significance.Based on reviewing the supply chain finance, the supply chain finance credit risk and its influence factors and expression form in this paper, it’s known that the three elements: the enterprise character, capacity and capital influence the supply chain finance credit risk. Based on the above understanding, the supply chain finance credit risk evaluation system is constructed in which the first grade indexes are moral character factor, ability factor and capital factor, and the second grade indexes are the qualities of a leader, previous cooperation credit, operating capacity, solvency and asset management features and so on. Twenty-seven evaluation indexes are selected. The data is reduced the dimension using the principal component analysis. And the supply chain finance credit risk evaluation model is established based on adaptive weight.Based on this, this paper chooses the real estate industry, its downstream steel industry and building materials industry for case analysis. Because the ordinary enterprise data temporarily can not be obtained, this paper analyzes the data of the three industry listing companies. The results show that the financial supply chain can effectively reduce the enterprise financing risk. Considering the different effects of different levels of enterprises can improve the sensitivity of the credit risk evaluation and measure the credit risk of enterprises more accurately. In other words, the supply chain finance credit risk models constructed in the paper is operational in the real bank credit business.