Research On Credit Risk Evaluation Of Haier Supply Chain Finance

In the context of the continuous transformation and upgrading of my country’s national economy and financial services to the real economy,supply chain finance relies on the real economy industrial chain,vigorously promotes the development of the integration of industry and finance,and has quickly become an important starting point for financial supply-side reform and industrial upgrading.The manufacturing industry is an important part of my country’s national economy,and it fundamentally affects my country’s productivity level.As a leading enterprise in the home appliance manufacturing industry,Haier uses supply chain finance as an entry point for transformation and upgrading,and uses its own platform to raise funds for upstream and downstream suppliers and distributors throughout its supply chain,and solves the problem of suppliers and distributors in their operations.The funding problem in the process has become a typical representative of supply chain finance.In this context,this article selects Haier supply chain finance as the research object,and according to its characteristics,develops a credit risk evaluation index system for Haier supply chain finance,and evaluates it in conjunction with the empirical part.It has certain practical value and practice.significance.To this end,this article gradually starts the research from the following four parts:The first part summarizes the relevant literature,expounds the related concepts and operation modes of supply chain finance,and conducts the characteristics,formation reasons and contagion mechanism of supply chain finance credit risk.In the second part,Haier Group and its development of supply chain finance are introduced,and three business models of Haier supply chain finance are introduced in turn,and the credit risk of Haier supply chain finance is analyzed from four levels.,And selected indicators from these four levels,selected 28 indicators(including 17 quantitative indicators and11 qualitative indicators),established Haier’s supply chain financial credit risk evaluation indicator system;in the third part,first selected Haier supply 15 companies in chain finance conduct data collection.Secondly,using the principal component analysis method in the SPSS software,9 principal components are selected from 28 indicators and used to construct a Logistic model,and then perform regression analysis and test.Use the KMV model to obtain the default distance(DD)of the sample enterprises,and add the default distance(DD)as an explanatory variable in the Logistic model to construct a Logistic-KMV mixed model for regression analysis,and analyze the mixture after adding the default distance The effect of the model on the credit risk evaluation of financing enterprises in Haier’s supply chain finance,and its results are verified by examples.The fourth part is a general summary of all the content.The research results show that the constructed Logistic-KMV model has high prediction accuracy when evaluating the credit risk of Haier’s supply chain finance,and it has a certain feasibility and practicability.