The Postal Savings Bank of China,which has a history of 100 years,was listed on the Hong Kong Stock Exchange in September 2016 and has nearly 40,000 outlets,effectively solving the problem of financing difficulties and high financing costs for smes,therefore it has certain influence in the small and medium-sized enterprise financing market.However,due to the transformation of postal savings bank’s profit model to rely mainly on credit as a revenue source,its credit rating and rating system has yet to be optimized.This paper adopts literature review method,mathematical statistics analysis method and empirical research method to analyze.Firstly,this paper summarizes the research background and significance of the credit rating of smes in commercial Banks,and elaborates the content and methods of the research by referring to the research on credit indicators and credit methods in the credit rating system by different scholars at home and abroad.Secondly,on the basis of sorting out the concepts and theories related to credit rating of small and medium-sized enterprises,it describes the classification and characteristics of small and medium-sized enterprises,the concepts related to corporate credit rating and credit risk,risk management theory and credit risk management theory.The status quo of The credit rating system of W Postal Savings Bank is analyzed again,and its deficiencies are pointed out,so as to improve the bank’s credit risk control mode for sme loan customers.Finally,collect and process the selected sample customer credit rating index data,and finally select 16 indicators to obtain specific credit rating results through model operation.In this paper,combining the characteristics of the principal component analysis and factor analysis,principal component analysis is chosen as the modeling method of this article,through 16 financial indexes of 74 mses data standardization of data processing,data correlation coefficient calculation standardization building coefficient matrix,the eigenvalues of the matrix is obtained by using the SPSS22.0 software,and the cumulative contribution,load matrix and comprehensive score,get the enterprise credit ranking,then k-means clustering analysis was carried out on the composite scores get six credit rating as a result,the final build new W post office bank credit rating system and is verified by actual data,To verify the effectiveness of the new rating model.The research in this paper is of great significance to reduce the credit risk of W Postal Savings Bank,help it improve the competitiveness of small and medium-sized enterprises,and improve the financing difficulties of small and medium-sized enterprises in the region.At the same time,the study of this paper for other local commercial Banks to establish a credit rating system suitable for small and medium-sized enterprises also have a certain reference. |