Home  Journals  Finance and Credit  1(385) - 2010 January

Creating of virtual clients data base for solvency analysis of Russian enterprises

Available online: 19 January 2010

Subject Heading: CREDIT STATUS ESTIMATION

JEL Classification: 

Now days there are an urgency problem of enterprises non-payment risk. It is possibl to solve a problem by using classification statistic methods, that based on instraction sample - total combination of enterprises data, that credit risk levels are known. It’s highly difficult to gather sach information couse of limited data access or banning access at all. In the present work the creating of virtual clients data base method is suggested. This one is based on financial indices patterns, that are known. The riskis of insolvency can be appreciated with virtual clients data base with using discriminant analysis method, classification tree models, neural networks methods.

Keywords: classification analysis, instraction sample, claster analysis, discriminant analysis, neural networks methods, linguistic scale, profitability, solvency, fuzzy sets approach

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ISSN 2311-8709 (Online)
ISSN 2071-4688 (Print)

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