Title :
Research on Credit Risk Recognizing Model in Enterprises of Credit-Sale
Author_Institution :
Sch. of Finance, Shanghai Lixin Univ. of Commerce, Shanghai, China
Abstract :
In this paper, by Logit regression technology, we construct a model for recognizing and warning credit risk based on financial and non-financial ratios. The testpsilas results show that the accuracy of the model is up to 86.6%. Obversely, it can offer enterprise some supports for recognizing and warning credit risk in credit sale.
Keywords :
credit transactions; regression analysis; risk management; credit risk recognizing model; credit sale; financial management; logit regression technology; Business; Electronic commerce; Error analysis; Finance; Marketing and sales; Neural networks; Paper technology; Predictive models; Statistics; Testing; Credit Risk; Credit Sale of Enterprises; Logit;
Conference_Titel :
Electronic Commerce and Business Intelligence, 2009. ECBI 2009. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3661-3
DOI :
10.1109/ECBI.2009.120
