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The article is aimed at studying the methodologies of forecasting bankruptcy, their application in forensic economic expertise, which will allow to make managerial decisions substantiated from the point of view of financial security of an enterprise and create opportunities for stable functioning and development of the enterprise. All enterprises are affected by negative factors and may find themselves in a crisis situation. That is why the management of enterprise should apply all existing measures to prevent bankruptcy and overcome crisis situations. Any crisis situation can be corrected if you respond to crises in time and form a balanced and adequate management system. Therefore, the use of bankruptcy forecasting methodologies will allow the management of enterprise to identify in advance negative trends in its development. The article analyzed the existing discriminant models for determining the probability of bankruptcy with their application in forensic economic expertise. In modern practice of the financial-economic activities of foreign firms, to assess the probability of bankruptcy, the discriminant models of Altman, Beaver, Taffler, Tishaw and some others received the widest application. It is defined that for a more justified forecast, it is advisable to use several methods at the same time to predict the probability of insolvency (bankruptcy) of enterprise. It is proposed to use a set of models to determine the probability of bankruptcy of enterprise in solving issues of economic forensic expertise, which will significantly increase the degree of probability of the results obtained. The proposed measures can be used not only to diagnose the likelihood of bankruptcy, but also to develop anti-crisis measures.

Features of Modeling the Probability of Bankruptcy Using Discriminant Models with Application in Economic Forensics