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BUSINESS INFORM №11-2018

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23

Section: Economic and Mathematical Modeling
UDC 347.736
Markov M. Y.
The Directions of Development of Methodical Approaches to Evaluating and Forecasting of Bankruptcy of Enterprises (p. 154 - 161)
The article is aimed at generalizing the information on methods and models of evaluation and forecasting of the risk of enterprise bankruptcy, allocating their advantages and disadvantages; critical analyzing the methods and models regarding their matching of Ukrainian realities; developing proposals on creation of models of evaluating and forecasting the probability of bankruptcy of Ukrainian enterprises. The statistical methods are described and analyzed, namely the Argenti method, single-factorial discriminant analysis, multi-factorial discriminant analysis, logit-models, probit-models, as well as methods of artificial intelligence: decision trees, artificial neural networks, genetic algorithms, models based on fuzzy logic. A detailed review of existing models on the basis of multi-factorial discriminant analysis is made, special attention is paid to current researches of methods of artificial intellect. It is determined that according to the results of many scientific researches the methods of fuzzy logic, artificial neural networks and fuzzy neural networks are more effective and perspective for further researches concerning evaluation and forecasting of probability of bankruptcy than classical statistical methods, including for Ukrainian enterprises.
Keywords: bankruptcy, forecasting, methods, models, enterprise.
Tabl.: 3. Formulae: 9. Bibl.: 19.

Markov Mykhailo Ye. – Postgraduate Student, Volodymyr Dahl East Ukrainian National University (17 Ioanna Pavla II Str., Kyiv, 01042, Ukraine)
Email: [email protected]

Reference to this article:
Markov, Mykhailo Ye. (2018) “The Directions of Development of Methodical Approaches to Evaluating and Forecasting of Bankruptcy of Enterprises.” Business Inform 11:154–161.

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