Financial credit risk assessment: a recent review
Artificial Intelligence ReviewPublished 27 October 2015
Ning Chen, Bernardete Ribeiro, An Chen
Citations213
SJR quartileQ1
SJR score3.01
SNIP5.11
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Abstract
The assessment of financial credit risk is an important and challenging research topic in the area of accounting and finance. Numerous efforts have been devoted into this field since the first attempt last century. Today the study of financial credit risk assessment attracts increasing attentions in the face of one of the most severe financial crisis ever observed in the world. The accurate assessment of financial credit risk and prediction of business failure play an essential role both on economics and society. For this reason, more and more methods and algorithms were proposed in the past years. From this point, it is of crucial importance to review the nowadays methods applied to financial credit risk assessment. In this paper, we summarize the traditional statistical models and state-of-the-art intelligent methods for financial distress forecasting, with the emphasis on the most recent achievements as the promising trend in this area.
Keywords
Computer ScienceEconomics, Econometrics and FinanceBusiness, Management and Accounting
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A Genetic Fuzzy Neural Network for Bankruptcy Prediction in Chinese Corporations
13 Citations2008Huang Fu-yuan
A Integration of Genetic Algorithm and fuzzy neural networks (GFNN) are proposed to forecast corporation bankruptcy and the results indicate that the predictive accuracies obtained from GFNN are much higher than the ones obtained from NNs.
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