Research On Financial Credit Risk Assessment Of Supply Chain In China's Auto Listed Companies

In recent years,SMEs have played a leading role in our economy.However,SMEs have weak links such as imperfect management,small scale,and unstable business operations,which determine the existence of financing problems.This not only increases the risk of corporate capital operations,but also limits the company's business.In corporate financing,SMEs have incorporated a new financing model,namely supply chain financing.In supply chain finance,core enterprises are related to upstream and downstream companies,and core enterprises provide guarantees for small and medium-sized enterprises.The logistics company supervises the mortgaged goods,which gives the bank more information.In the process of lending to enterprises,banks not only look at the credit status of the financing companies,but also need to understand the credit status of the core enterprises.The core enterprises are generally large companies and their credit status is better,which reduces the SMEs'.The threshold of bank loans has increased the probability of successful corporate loans and the amount of financing.At the same time,it has increased the bank's business volume and profit points and reduced credit risks.At present,most banks are not comprehensive enough in terms of risk awareness.They only pay attention to the benefits brought about by supply chain finance,and they are still not perfect and sound in managing such risks.Therefore,risk management has also become one of the major problems faced by the Bank of China.This paper takes the automotive industry as an example and uses the logistics model to evaluate the credit risk of supply chain finance.After reading a lot of literature,this article sorts out the relevant theoretical overview,and reviews related websites,analyzing the current status of China's auto industry.One of the core contents of this paper is to establish an indicator system.After analyzing the principle of selecting indicators,the source of the indicators is explained.Then,indicators are selected according to the principle of index selection.And establish the final indicator system.Another core content is the use of a logical model for risk assessment of automotive listed companies.First,based on the content and selection principles of this article,50 automobile parts and components listed companies were selected as samples,and the sources and processing of data were analyzed and explained.After collating the raw data,these data are processed by SPSS 20 software and it can be concluded that these data meet the conditions for factor analysis.Then,using SPSS 20 software as principal component analysis,seven component factors were extracted,which can be used to replace the original indicators for regression analysis.The independent variables are the seven factors,and the dependent variable is the type of enterprise risk.A logistic model is established,and the calculation formula of the default rate of the company is obtained based on the results calculated by SPSS 20.According to this equation,we can draw corresponding results and test the model.Based on the model,we can therefore find that the main indicators affecting credit risk are solvency,growth ability and profitability.Finally,in order to reduce the bank's credit risk,a corresponding management strategy was proposed.