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We develop distress prediction models for non-financial small and medium sized enterprises (SMEs) using a dataset from eight European countries over the period 2000-2009. We examine idiosyncratic and systematic covariates and find that macro conditions and bankruptcy codes add predictive power...
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, rather than only assessing an SME’s repayment ability. The aim of this paper is to research credit risk assessment models for … improve the credit rating status in the process of SME financing. (2)By analyzing and comparing the empirical results, we find … that the SVM assessment model, on evaluating the SME credit risk, is more effective than the BP neural network assessment …
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