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ESTIMATION OF BANKRUPTCY RISK OF SMALL BUSINESS COMPANIES BASING METHODS OF MACHINE LEARNING
- Authors: Arinichev IV1, Bogdashev IV1
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Affiliations:
- Kuban State University
- Issue: Vol 25, No 2 (2017)
- Pages: 242-254
- Section: Articles
- URL: https://journals.rudn.ru/economics/article/view/17164
- DOI: https://doi.org/10.22363/2313-2329-2017-25-2-242-254
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Abstract
The article deals with the methodology for constructing an algorithm for determining the probability of bankruptcy of an enterprise using machine learning methods. The advantage of this methodology is the use of not only quantitative, but also qualitative indicators of financial stability of business entities, as well as the possibility of excluding factors that have little effect on the final rating. It is assumed that the created mathematic model will be useful to representatives of small and medium-sized businesses and will provide an objective and precise picture of the financial situation of the enterprise, including current threats and the risk of bankruptcy.
About the authors
I V Arinichev
Kuban State University
Author for correspondence.
Email: iarinichev@gmail.com
Arinichev I.V. Cand. Ec. Sci., Associate Professor, Department of Theoretical Economy, Kuban State University.
Stavropolskaya str., 149, Krasnodar, Russia, 350040I V Bogdashev
Kuban State University
Email: ibogdashev@gmail.com
Bogdashev I.V. Cand. Ec. Sci., Associate Professor, Department of Theoretical Economy, Kuban State University.
Stavropolskaya str., 149, Krasnodar, Russia, 350040References
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