UDC 33

LOGISTICAL REGRESSION APPLYING IN BANKRUPTCY PROBABILITY PROGNOSING PARADIGMAL TASK RESOLUTION IN BUSINESS-SYSTEMS IN THE MODERN RUSSIAN CONDITIONS

Shemetev Alexander Aleksandrovich
Saint-Petersburg State University of Economics and Finance
PhD

Abstract
The paper is devoted to the completion and finalizing the 42-years-lasting process of the Ghent university"s research. The research is not finished till today. The paper author describes the developed by him complex algorithm how to finish the Ghent"s city univerity"s model so it could prognose the time till the bankruptcy is left even in the modern Russian conditions. The model"s finalizing is based upon the Fisher-Bliss mathematical analysis. The created by the author conception of the commercial companies and banks segmentation is also described in the paper. The conception basis is the market stakes release due to commercial companies and banks bankruptcies potential effect analyzing. The above mentioned is analyzed in different scenarios of the market development. The scenario analysis is based upon the wait-if analysis.

Keywords: wait-if анализ


Category: 08.00.00 Economics

Article reference:
Logistical regression applying in bankruptcy probability prognosing paradigmal task resolution in business-systems in the modern Russian conditions // Modern scientific researches and innovations. 2011. № 2 [Electronic journal]. URL: http://web.snauka.ru/en/issues/2011/06/620

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