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The Credit Rating Research On Small And Medium-sized Enterprises—models And Empirical

Posted on:2016-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:P P ZouFull Text:PDF
GTID:2309330470472430Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
Small and medium-sized enterprise plays a very important role in a market economy. It not only provides a large number of jobs for many workers, but also promote the prosperity and development of the economy. The development of small and medium-sized enterprise has been very slow over so many years. Most of the companies are difficult to grow up. It is a worth thinking question that how to take these small and medium-sized enterprises bigger and stronger. In order to explore the reasons for slow development of small and medium-sized enterprises, we analyze the difficulties which often emerge in the development of small and medium-sized enterprises in detail. It was found that financing difficulties are the most frequently encountered difficulties. Through the research of experts and the feedback of banks, the information asymmetry between banks and SMES are the main reasons for the financing difficulties. Information asymmetry let the banks lack detailed understanding about enterprise. However, the current banks pursue sound policies. They couldn’t take a chance to lend to the lack of understanding of enterprise. Credit rating is to solve the credit risk caused by asymmetric information. Through the professional credit rating, it increases the trust of the small and medium-sized enterprise and reduces the risk of bank loans.Based on the above factors, it is necessary to research on small and medium-sized enterprises credit rating. In this paper, we completed to build index system of small and medium-sized enterprise credit rating model by using the correlation analysis, discrimination analysis. In addition, we also use factor analysis,support vector machine and other statistical models to analyze the credit rating problems of small and medium sized enterprises. These models all show a good predictive effect. At the end of the paper, we choose to assess iFLYTEK credit rating in order to use a specific enterprise to introduce credit rating in detail. The empirical part based on the index system of the previous rating model. By using analytic hierarchy process,we evaluate the iFLYTEK’s credit rating sientificly. The evaluation results are basically consistent with the actual situation. It shows that the small and medium-sized enterprise credit rating model is feasible.
Keywords/Search Tags:Information asymmetry, Credit risks, Index system, Statistical model
PDF Full Text Request
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