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BUSINESS INFORM №10-2017The title and content ABSTRACTS AND INFORMATION ABOUT AUTHORS
44
Section: Economics of Enterprise UDC 347.736.3 Vasyliev O. V., Goi V. V. Optimizing the Bankruptcy Rates of Corporate Enterprises (p. 281 - 288)
An important issue in forecasting the probability of bankruptcy is the formation of an optimal set of financial-economic performance indicators with high forecast capacity. The article is aimed at optimizing the indicator system, which can be used to build a model for diagnosing the probability of corporate failures. The known methods and models for diagnosing bankruptcy were analyzed and it was found that they were based on the financial performance indicators, which use empirical data only. A set of financial performance indicators has been formed that can be used to forecast probability of corporate bankruptcy or to plan for anti-crisis measures. The practical significance of the study suggests developing a theoretical basis for solving issues arising in the diagnostics of probability of bankruptcy of corporate enterprises. Prospect for further research in this direction is to develop an integrated indicator using the fuzzy logic theory, taking into account the qualitative and quantitative performance indicators of enterprise. Keywords: corporate enterprise, probability of bankruptcy, factor, indicator, diagnostics of probability of bankruptcy. Tabl.: 1. Formulae: 2. Bibl.: 16. Vasyliev Oleksii V. – Doctor of Sciences (Economics), Professor, Professor, Department of Management and Administration, Educational and Research Institute «Karazin Business School» of V. N. Karazin Kharkiv National University (1 Myronosytska Str., Kharkiv, 61002, Ukraine) Email: [email protected] Goi Vasyl V. – Candidate of Sciences (Economics), Candidate on Doctor Degree, O. M. Beketov National University of Urban Economy in Kharkiv (17 Chornohlazivska Str., Kharkіv, 61002, Ukraine) Email: [email protected]
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Reference to this article: Vasyliev, Oleksii V., and Goi, Vasyl V. (2017) “Optimizing the Bankruptcy Rates of Corporate Enterprises.” Business Inform 10:281–288.
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