Innovative Analysis of Models for Evaluating the Probability of Enterprises Bankruptcy
Irina Anatolievna Kiseleva1, Mikhail Samuilovich Gasparian2, Elena Nikolaevna Chernysheva3, Tatyana Nikolaevna Voronkova4, Irina Sergeevna Androshina5
1Irina Anatolievna Kiseleva, Plekhanov Russian University of Economics, Moscow, Russian Federation.
2Mikhail Samuilovich Gasparian, Plekhanov Russian University of Economics, Moscow, Russian Federation.
3Elena Nikolaevna Chernysheva, Plekhanov Russian University of Economics, Moscow, Russian Federation.
4Tatyana Nikolaevna Voronkova, Plekhanov Russian University of Economics, Moscow, Russian Federation.
5Irina Sergeevna Androshina, Moscow Energy Institute, Moscow, Russian Federation.
Manuscript received on 09 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 6304-6310 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3722078219/2019©BEIESP | DOI: 10.35940/ijrte.B3722.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The article is devoted to the relevant topic which is assessment of the insolvency (bankruptcy) of enterprises. The instability of a complex socioeconomic system is intensifying in the market economy, which is difficult to fully study and understand. Modern business is being run in a highly competitive environment. Adequate decision-making requires a deep, comprehensive assessment of the situation and a reliable forecast of events. A firm that has managed to correctly forecast the situation receives more profit than a firm that abstained from forecasting. The firm that made the wrong forecast loses the most. The main types of models for assessment of the bankruptcy probability for enterprises and the factors influencing them in the course of making decisions have been considered in this article, and the bankruptcy probability for Megafon PJSC based on various models has been studied. A comparative analysis of the models for assessment of the bankruptcy probability for enterprises has been conducted. The methods of cognition, retrospective and documentary analysis, as well as synthesis, generalization, and systematization were used in the article.
Index Terms: Bankruptcy, Enterprise, Model, Risk.
Scope of the Article: Image analysis and Processing