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Research Article

An Assessment Method for Individual Credit Risk Based on SP Theory

Shuai Li, Yang Yang, Lai Hui, Xu Chao and Zhou Zonfang
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Nowadays, the assessment of individual credit risk has drawn great attention of the financial institutions and many assessment models have been developed. However, although the traditional assessment models can assess the credit risk from different aspects, they require that the credit information of the credit subjects is complete. Therefore, those traditional models cannot be well suitable for the individual credit assessment. In order to solve this problem, a more suitable model should be established. Compared with the previous work, this study presents an integrated model. The new model integrates the existing assessment models by using SP theory. The integrated model based on SP theory will greatly improve the suitability while with less credit information of the credit subjects. Through a specific example, the validity of the model has been verified. From the findings of this study, it shows that the new assessment model has some theoretical value and practical significance for the assessment of individual credit risk.

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  How to cite this article:

Shuai Li, Yang Yang, Lai Hui, Xu Chao and Zhou Zonfang, 2013. An Assessment Method for Individual Credit Risk Based on SP Theory. Journal of Applied Sciences, 13: 4245-4248.

DOI: 10.3923/jas.2013.4245.4248


Daehyon, K., J.K. Gwang and K.K. Haeng, 2013. Performance improvement by modification of learning algorithm of multilayer feed-forward neural network model. Information, 16: 481-494.

Jarrow, R.A. and S.M. Turnbull, 1995. Pricing derivatives on financial securities subject to credit risk. J. Finance, 50: 53-85.
CrossRef  |  Direct Link  |  

Lai, J., M. Xiao and Z.F. Zhou, 2010. Empirical study on forecasting financial distress of listed enterprise groups based on factorial analysis and logistic regression model. Proceedings of the 4th Annual Meeting of Chinese Management, (MCM'10), China -.

Lando, D., 1998. On cox processes and credit risk securities. Rev. Derivatives Res., 2: 99-120.
CrossRef  |  Direct Link  |  

Li, Q.B., 2003. The two paths of development of peasant intermediary organization. Econ. Issues, 3: 34-36.

Li, Y.F. and Z.F. Zhou, 2011. Research on model for evaluating risks of venture capital projects. J. Risk Anal. Crisis Resp., 1: 142-145.

Liu, W.R., M. Xiao and Z.F. Zhou, 2010. Empirical study on the credit risk of enterprise group using bp neural networks. China Manage. Magazine, 10: 38-43.

Merton, R.C., 1974. On the pricing of corporate debt: The risk structure of interest rates. J. Finance, 29: 449-470.
Direct Link  |  

Ren, J., M. Xiao, Z.F. Zhou and Y. Shi, 2010. A service evaluation method on service agents. Information, 13: 561-567.

Wang, J. and M.H. Zhu, 2011. Research on risk evaluation method of rural small credit loans based on catastrophe theory. Financial Theory Pract., 7: 20-23.
Direct Link  |  

Wang, J., 2008. Study on financial credit and financial supports for economic organization involving in agriculture. Ph.D. Thesis, Xi'an, Northwest A and F University.

Wang, J., X.X. Huo and Z.F. Zhou, 2011. Research on the mechanism of financial guarantee under the pattern of farmers' cooperative organizations. Rural Econ., 1: 78-81.

Wang, J., X.X. Huo and Z.F. Zhou, 2011. Comparison and analysis of the tracking error of Shanghai Securities 500ETF and 180ETF based on the theory of set. J. Northwest A F Univ., 11: 59-71.

Yang, X. and W. Zhang, 2012. Sequential approximate modeling method based on support vector regression. Information, 15: 5189-5196.

Zhang, M. and Z.F. Zhou, 2009. An evaluation model for credit risk of enterprise based on multi-objective programming and support vector machines. China Soft Sci., 4: 185-190.
Direct Link  |  

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