REVIEW AND ANALYSIS OF ENTERPRISES BANKRUPTCY DIAGNOSTICS MODELS
Journal Title: Держава та регіони. Серія: Економіка та підприємництво - Year 2018, Vol 6, Issue 105
Abstract
Today, the number of bankrupt enterprises in the world and in Ukraine is growing due to the fact that in the conditions of the economic crisis, enterprises are insolvent and unable to meet the conditions of payables in a timely manner. Despite a large number of works on this problem, there is no single tool for effective bankruptcy diagnostics, which complicates the diagnosis. Analysis of literary sources devoted to the diagnosis of bankruptcy enterprises of various levels and scales testifies to the heterogeneity of understanding the essence of the process of bankruptcy diagnostics an enterprise. Most of the developed construction models require a large amount of information support. The purpose of the article is to conduct a review and analysis of the methods and models for diagnosing bankruptcy enterprises in Ukraine. The effective diagnosis of bankruptcy depends on the solution and development of measures to preserve the independence of the business entity, so diagnosing the crisis state of the enterprise is a complex task. The most authors for bankruptcy diagnostics distinguish two approaches, firstly using multi-factor models and methods, and secondly – comparative analysis of performance indicators. An overview of the models and methods of enterprise bankruptcy diagnostics allowed us to establish that most models and methods of bankruptcy diagnostics based on correlation-regression and discriminatory analyses. Today, foreign practices are used in business practice but they are not adapted to modern Ukrainian conditions of economic management. The most methods of bankruptcy diagnostics are based on financial analysis methods. In further research, the actual task is to find the best methods for diagnosing bankruptcy, as well as their adaptation to modern conditions.
Authors and Affiliations
V. O. Lyba, Ya. O. Cherevko, V. V. Tkachuk
Keywords
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