By using the data of 2014 and 2015 about the 90 small and medium-sized en-terprises credit default and normal samples from a joint-stock commercial bank, this paper builds the credit risk assessment evaluation index system to the small and medium-sized enterprise of commercial bank. Based on the logit model, we make a test for the 30 enterprises of the testing samples. Finally, the evaluation model draws that the predicted probability of default of the model is as high as 90%, the reliability of credit risk assessment model is verified.
References
[1]
Altman, E.I. and Sabato, G. (2007) Modeling Credit Risk for SMEs: Evidence from the US Market. Journal of Financial Services Research, 43, 332-357.
[2]
Altman, E.I., Sabato, G. and Wilson, N. (2008) The Value of Qualitative Information in SME Risk Management. Journal of Financial Services Research, 40, 15-55.
[3]
Koyuncugil, A.S. (2012) Financial Early Warning System Model and Data Mining Application for Risk Detection. Expert Systems with Applications, 39, 6238-6253. https://doi.org/10.1016/j.eswa.2011.12.021
[4]
Yang, Y. (2009) Research on Credit Risk Assessment of SMEs in China. Financial Forum, No. 3, 69-73.
[5]
Shi, X. (2008) Application of BP Neural Network in Credit Risk Assessment of Chenghai Credit Union. Consumer Guide, No. 21, 104.
[6]
Zhou, M. (2010) The Way to Solve the Financing Difficulties of Small and Medium-Sized Enterprises. Contemporary Financiers, No. 2-3, 88-89
[7]
Liu, C. and Liu, X. (2012) SME Credit Risk Assessment Based on Credibility Theory. Technical Economics and Management Research, 10, 3-7.
[8]
Guo, S. (2014) Reflections on the Financial Risk Early-Warning of SMEs in the Context of Business Transformation of Commercial Banks. Business Times, No. 7, 74-75.
[9]
Cui, L. (2015) Dennis International Reference and Inspiration SME Credit Risk Prevention and Control. Study Financial and Economic, No. S1, 50-53.
[10]
Wu, J. (2016) Construction of Credit Risk Evaluation Index System for SMEs. Financial Communications, No. 26, 102-104.
