Open AccessInnovative Analysis of Models for Evaluating the Probability of Enterprises Bankruptcy
Author(s) -
Irina Anatolievna Kiselеvа,
Mikhail Samuilovich Gasparian,
Eleikolaevna Chernysheva,
Tatyaikolaevna Voronkova,
Irina Sergeevna Androshina
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b3722.078219
Subject(s) - bankruptcy , insolvency , profit (economics) , actuarial science , generalization , business , economics , computer science , finance , microeconomics , mathematics , mathematical analysis
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.