Credit Risk Evaluation Of Supply Chain Finance Based On Grey Relational Analysis

The role of supply chain finance in the global enterprise competition has become increasingly prominent,its status has been increasing.However,the credit risk brought by supply chain finance has attracted the attention of governments,companies in the supply chain and academia.How does the credit risk of supply chain finance affect the company? Based on the previous research,this paper systematically studies the credit risk of supply chain finance,taking the home appliance industry as an example,based on the grey correlation analysis model and the grey correlation analysis model based on random uncertainties,the supply chain of the listed companies in the household appliance industry Financial credit risk assessment.The research goal of this paper is to conduct an overall assessment of the supply chain financial credit risk of listed companies in the household appliance industry and establish an evaluation mechanism for credit risk.Firstly,based on the research summary,this paper analyzes the mechanism of credit risk in supply chain finance.Secondly,taking the traditional home appliance industry,which is the traditional advantage industry of supply chain finance in China,as an example,it analyzes the basic status quo of the listed companies in the home appliance industry,including the development status,business status,and supply chain financial development status;Thirdly,using the grey correlation analysis model,15 indicators representing profitability,solvency,operational capacity,and development capacity were selected to select 15 listed companies in the household appliance industry.Taking the advantage enterprise in supply chain finance QINGDAO HAIER as an ideal enterprise,this paper analyzes14 other companies,obtains and ranks the correlation degree between the 14 companies and QINGDAO HAIER from 2012 to 2016.The conclusion is that the top and most stable companies are GREE,MIDEA GROUP,SANHUA,GOLDENSEA,DFDR and ECHOM.Qijing Machinery,Sanxing New Materials,KASUN and CHANGHONG.There are major changes in the situation.The companies that ranked lower are Julong Transmission Technology,HXDQ,LIBA and CCSM.Finally,a grey relational analysis model based on random uncertain number is constructed.QINGDAO HAIER is still regarded as an ideal enterprise.The data from 2012 to2016 are imported into the model,and the correlation degree between the other 14 enterprises and QINGDAO HAIER is obtained.The companies with high relevance in the middle and upper reaches include Sanxing New Materials,ECHOM,CCSM,SANHUA,Qijing Machinery,GREE,MIDEA GROUP,HXDQ,DFDR and GOLDENSEA.The enterprises ranking behind are LIBA,Julong Transmission Technology,CHANGHONG and KASUN.