ДІАГНОСТИКА РИЗИКУ БАНКРУТСТВА ПІДПРИЄМСТВА: МЕТОДОЛОГІЧНИЙ ТА ПРАКТИЧНИЙ АСПЕКТИ

Abstract

Domestic enterprises have been working under martial law conditions for the second year, what has led to a sharp weakening of the Ukrainian’s economy. All this has a destructive influence on the work of enterprises and escalations the hazardousness of their activities. Risk management and, consequently, ensuring financial security are key tasks of the risk management system at the enterprise, since financial risks have a destructive effect on both its development and the country's economy as a whole. The purpose of the scientific article is to conduct a comparative analysis of methodological approaches to assessing the risk of bankruptcy of an enterprise, based on discriminant analysis and the theory of fuzzy sets, and to determine their effectiveness. Method or methodology of the research. The methodological base of the study were the works of national researchers who expose the practical aspects of the analysis of the risk of insolvency of the enterprise. Methods of comparative analysis, discriminant analysis and fuzzy set theory were used in the study. Results of the study. In the study, the domestic and foreign discriminant models for assessing the risk of bankruptcy of an enterprise were analyzed. The authors proposed to use the theory of fuzzy sets to analyze the risk of enterprise insolvency. Based on the results of the comparative analysis, the effectiveness of the proposed methodical approach to assessing the risk of bankruptcy of the enterprise was determined. Scope of practical application of the results. The obtained results have important practical value and can be used by enterprise managers to improve the risk management strategy. Conclusions. In the conditions of an unstable environment, the use of models based on fuzzy logic becomes appropriate. This makes it possible to form an adaptive model that takes into account the specifics of the country, industry and individual enterprise. The use of a model based on a fuzzy-multiple approach will contribute to obtaining reasonable data on the level of financial security of the enterprise and increase the effectiveness of the formation of strategies for managing business entities in conditions of uncertainty and risk.