ESTIMATION OF BANKRUPTCY RISK OF SMALL BUSINESS COMPANIES BASING METHODS OF MACHINE LEARNING
- Авторлар: Arinichev IV1, Bogdashev IV1
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Мекемелер:
- Kuban State University
- Шығарылым: Том 25, № 2 (2017)
- Беттер: 242-254
- Бөлім: ARTICLES
- URL: https://journal-vniispk.ru/2313-2329/article/view/343012
- DOI: https://doi.org/10.22363/2313-2329-2017-25-2-242-254
- ID: 343012
Дәйексөз келтіру
Толық мәтін
Аннотация
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.
Авторлар туралы
I Arinichev
Kuban State University
Хат алмасуға жауапты Автор.
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 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, 350040Әдебиет тізімі
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