Credit Risk Research Of China's Steel Industry Oriented Supply Chain Finance

Supply chain finance of commercial banks is based on the true trade back ground and core enterprise credit strength of master, at the core of the enterprise as the Break through point, through effective control of the capital flow, information flow and logistics, the core enterprise in the industry chain supporting the financing of enterprises.Iron and steel industry is an important fundamental industry of national economy and the national economic level and the comprehensive national strength important symbol. Its characteristic is comparatively complete industry chain, industry order relative specification and higher bank cooperation degree. It is one of the banks to carry out the preferred field of supply chain finance business. But the Banks in traditional foreign financing, due to the steel industry supply chain participants do not have enough mortgage collateral, it facing the plight of financing difficulties, inhibits the development of core enterprise, ultimately affect the whole steel industry. The supply chain finance of steel industry connect small and medium-sized enterprises that in the steel industry supply chain with banks, not only effectively solve the bottleneck in the financing of the iron and steel companies, active the market, but also actively to promote the development of steel industry as a whole. In this paper, the game analysis, correlation analysis and support vector machine(SVM) were used, compared the classification accuracy of the model in the traditional commercial bank credit risk evaluation index system and index system of supply chain finance, it provide feasible suggestion for more efficient use of supply chain finance for our country bank credit risk management.This paper is divided into seven chapters: The first chapter is the Introduction, in which the research at home and abroad, the purpose and significance of research, research contents and methods were described. The second chapter included Theoretical basis and the definition of related concepts in this paper. The third chapter is the credit risk analysis of supply chain finance in China's iron and steel industry, including patterns, classification and characteristics. In the chapter four, the influence factors of supply chain finance credit risk were discussed. By building a model, we analysis the source of supply chain finance credit risk, providing the basis of establishing the indicator system in the fifth chapter. In the chapter five, empirical studies of supply chain finance credit risk in the iron and steel industry were introduced. Combined with the previous chapters, firstly the indicators of supply chain financial risk assessment were pre-selected, then I screened and analysis it. Finally I set up the supply chain financial evaluation index system of credit risk in the steel industry and the evaluation model was build by using support vector machine(SVM). The supply chain finance credit risk in China's iron and steel industry and the credit risk of traditional ways of financing small and medium-sized enterprise were assessed and contrasted. In the chapter six, prevention advices about supply chain finance credit risk in China's steel industry was put forward. The chapter seven is conclusion and prospect, the financial supply chain of steel industry in the future were discussed.