The Research On The Measurement Of Credit Risk Of The Listed Companies On SME Board

Since the reform and opening up, with the continuous development of our social economy and financial markets, on the one hand, the external environment of commercial banks has been greatly changed, and the credit risk is more and more complex; on the other hand, the development of SMEs is flourish, but the strength of the SMEs is weak, the ability to resist risk is poor, so its credit risk is large. Firstly, based on existing research I analyzed the characteristics and the credit risk of SMEs, etc. Then I analyzed the current situation and existing problems of the SME board listing Corporation's credit risk measurement models. Finally, I measured the credit risk of the SME board listing Corporation by using the Artificial Neural Network Model.First, based on existing research, I analyzed the credit risk measurement of the S ME board listed Companies in the aspect of theory, the results showed that:the credit risk of SMEs have some characteristics, such as the probability distribution asymmetry, the observation data which is less and not easy to get, adverse selection and moral hazard problems; the credit risk measurement includes traditional and modern methods, I chooses BP neural network model to empirical research through a comparative analysis.Second, investigation of reality is done on the SME board listing corporation's credit risk and measurement, the results showed that:SME board listed companies are better than general SMEs, but there are also small and weak; the causes of its credit risk mainly includes internal causes and external causes; the credit risk measurement of SMEs exists some problems such as the difficulty of obtaining data, backward technology, imperfect credit rating system and imperfect social credit system.Finally, based on the data of SME board listed companies, I measured and analyzed the credit risk of SME board listing companies by using BP neural network model, the results showed that:The trained BP neural network can be used in the study of small and medium-sized board listed company credit risk measurement, which accuracy of the model is more than 90% in the training samples and the simulation samples.Based on the results of this paper, I puts forward some suggestions on improving the credit risk and the credit risk measurement management level of SME board listing Corporation.