Shuai Li
School of Economics and Management, University of Electronic Science and Technology of China, 610054, Chengdu, China
Yang Yang
School of Economics and Management, University of Electronic Science and Technology of China, 610054, Chengdu, China
Lai Hui
School of Economics and Management, University of Electronic Science and Technology of China, 610054, Chengdu, China
Xu Chao
School of Economics and Management, University of Electronic Science and Technology of China, 610054, Chengdu, China
Zhou Zonfang
School of Economics and Management, University of Electronic Science and Technology of China, 610054, Chengdu, China
ABSTRACT
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
URL: https://scialert.net/abstract/?doi=jas.2013.4245.4248
DOI: 10.3923/jas.2013.4245.4248
URL: https://scialert.net/abstract/?doi=jas.2013.4245.4248
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