COMPARATIVE ANALYSIS OF APPROACHES IN FORECASTING OF COMPANY’S BANKRUPTCY PROBABILITYJournal: Science and world (Vol.1, No. 12)
Publication Date: 2014-08-15
Authors : Berdnikov V.V.; Gavel O.Yu.; Berdnikov V.V.;
Page : 92-96
Keywords : forecasting; bankruptcy; crisis process; strategic data analysis; neural models.;
This article contains estimates of current position and forecast of Russian companies’ solvency, evaluation of the debt crisis consequences for banks and budget. Describes main reasons of bankruptcy and approaches for overcoming. Summarize different methods of forecasting; determine reasons of bankruptcy and steps of progress. Determine the role of analysis of strategic data and prospects of using neural models in evaluating probability of company’s bankruptcy. Using of neural analogues of classic models is the most efficient procedure in volatile periods in economic environment. Application of these methods in prospective analysis of company’s financial performance allows to cut default consequences effect for partners, to take fast changes in business-model for stockholders and managers, who is responsible for strategic decisions.
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