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Research On Credit Risk Rating Method Of SMEs Customers For China's Commercial Banks

Posted on:2020-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:W LvFull Text:PDF
GTID:2439330578479725Subject:Financial
Abstract/Summary:PDF Full Text Request
Commercial banks are the most important part of the financial system.Credit business is the most basic business of banks and the most basic channel for corporate finance.However,the most important credit activity is Credit Risk.Small and medium-sized enterprises(SMEs)are the main force of China's economic development.They play an important role in improving productivity,promoting consumption and increasing employment.However,the current lack of capacity of SMEs and the poor financing environment of SMEs make SMEs difficult to finance and fall into financial difficulties.The purpose of this paper is to solve the problem of the credit rating that is indispensable in the financing environment of SMEs by establishing a scientific SME credit rating method that is in line with China's actual situation.This paper constructs an index system containing 24 quantitative indicators and 16 qualitative indicators by referring to domestic and foreign enterprise rating indicators in theory and practice.There are 24 quantitative indicators and 16 qualitative indicators.Then by analyzing the application of a large number of credit models to SMEs in China,the multivariate linear discriminant model,Logit model and Probit model are selected as the main research methods.This paper conducts an empirical analysis of 50 ST companies and 50 non-ST companies in China's New Third Board.Through the KS test and ROC curve,the applicability of the indicators is analyzed by single factor,and the indicators that meet the SMEs in China are selected.There are 7 quantitative indicators and 5 qualitative indicators.Then multivariate discriminant analysis,Logit regression analysis and Probit regression analysis were performed.The results show that the Logit model and the Probit model can distinguish 90%of "good companies" and "bad companies",but Logit regression is better in distinguishing degrees.Finally,the paper also analyzes the application of the internal rating system of commercial banks,and puts forward suggestions on the management of China's bank credit rating system.
Keywords/Search Tags:SEMs, Credit Rating, Single-factor Analysis, Logit Model
PDF Full Text Request
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