ESTIMATION OF BANKRUPTCY RISK OF SMALL BUSINESS COMPANIES BASING METHODS OF MACHINE LEARNING

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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, 350040

I 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, 350040

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Copyright (c) 2017 Arinichev I.V., Bogdashev I.V.

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