Open AccessTO ASSESS THE RELIABILITY OF MODELS TO PREDICT THE INSOLVENCY (BANKRUPTCY)
Author(s) -
S. V. Shpak,
Olga Borisova
Publication year - 2019
Publication title -
strategii biznesa
Language(s) - English
Resource type - Journals
ISSN - 2311-7184
DOI - 10.17747/2311-7184-2019-5-21-25
Subject(s) - insolvency , bankruptcy , reliability (semiconductor) , financial stability , stability (learning theory) , business , actuarial science , key (lock) , bankruptcy prediction , reliability engineering , computer science , finance , engineering , financial system , computer security , power (physics) , physics , quantum mechanics , machine learning
The establishment of an accurate assessment of the financial stability of the organization is particularly relevant in a period of unstable economic situation. The reliability of the models and methods used in assessing the likelihood of insolvency (bankruptcy) is a key factor in the effectiveness of monitoring the financial stability of an organization. A comparative evaluation of the accuracy of domestic models was carried out based on a study of 709 operating companies and 1,124 bankrupt companies. As a result, a technique was revealed that showed the most accurate results, which will allow financial services to improve the accuracy of the assessment and reduce the time for its implementation.