基于梯形模糊數(shù)的供應(yīng)鏈金融信用風(fēng)險評價
[Abstract]:Supply chain finance is a newly emerging thing in recent years. It takes the core enterprise as the center, through the management of the upstream and downstream small and medium-sized enterprises' logistics and capital flow, it changes the control of the single enterprise's risk to regard the enterprise in the supply chain as a whole. Assess the risks. With the intensification of interbank competition, banks gradually attach importance to and actively carry out credit financing business of small and medium-sized enterprises, which makes the supply chain finance model greatly promoted. Especially after the 2008 financial crisis, the supply chain financing model has been booming, large logistics companies and banks are vigorously carrying out this business to broaden the profit channels. From the angle of management and economics, this paper studies the supply chain finance and its risk, and probes into the credit risk evaluation of supply chain finance. In this paper, through the introduction of supply chain finance and its financing mode, the paper expounds the risk problems that will be faced in the process of financing. Then, it studies the index selection and system construction of credit risk evaluation in supply chain finance. Finally, the credit risk evaluation model of supply chain finance based on trapezoidal fuzzy number is established, and the feasibility of this method is verified by empirical analysis, and some suggestions are put forward for the evaluation of supply chain financial credit and its credit risk. The study of supply chain financial credit risk can proceed from the overall situation, not only to investigate the financial situation and credit situation of the financing enterprise itself, but also to comprehensively evaluate the supply chain in which the financing enterprise is located and the risk of transaction with the supply chain. Finally decide whether to grant credit to small and medium-sized enterprises. The supply chain finance starts late in our country, and there is much room for development in the future. The future research can further optimize the credit risk evaluation model of supply chain finance, subdivide the evaluation index, and then improve the accuracy of judgment.
【學(xué)位授予單位】:天津大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2012
【分類號】:F274;F830.5
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