Vestnik Yuzhno-Ural'skogo Universiteta. Seriya Matematicheskoe Modelirovanie i Programmirovanie
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Submit a manuscript

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Vestnik YuUrGU. Ser. Mat. Model. Progr.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Vestnik Yuzhno-Ural'skogo Universiteta. Seriya Matematicheskoe Modelirovanie i Programmirovanie, 2020, Volume 13, Issue 3, Pages 98–102
DOI: https://doi.org/10.14529/mmp200311
(Mi vyuru563)
 

This article is cited in 1 scientific paper (total in 1 paper)

Short Notes

Applicability of forecasted bankruptcy models to Russian industrial companies

G. S. Chebotarevaa, W. Strielkowskib, N. S. Gafurovc

a Ural Federal University, Ekaterinburg, Russian Federation
b Czech University of Life Sciences, Prague, Czech Republic
c South Ural State University, Chelyabinsk, Russian Federation
Full-text PDF (155 kB) Citations (1)
References:
Abstract: The application of effective methods for forecasting of the bankruptcy of industrial companies is always an urgent task for businesses, especially at the present stage which is characterized by an extremely high uncertainty. The paper presents the main techniques of bankruptcy modelling used in the world's practice: logit, probit and MDA-models, as well as the special private methods developed on their basis. These tools constitute the methodological foundation of our research. To assess the practical applicability of these methods to the contemporary Russian market, two sectorial companies (bankrupt and non-bankrupt) are selected as the object of study. A feature of the research is the use of financial statements of companies developed according to Russian and international standards. In the course of the calculations, we apply external and internal restrictions related to the key rate, credit history characteristics, age and regional affiliation of companies. Based on the dynamic assessment, we draw conclusions about the practical applicability and inapplicability of certain forecast models for the Russian economy. We investigate the relationship between the assessment results and the type of source data used. Research veracity is confirmed using generally recognized models and methods, as well as the practical implementation of the results obtained. We can recommend to use these results for improving the existing models for predicting bankruptcy and developing new ones, as well as for owners and investors of companies who need to make strategic decisions.
Keywords: bankruptcy, forecast, industrial company, mathematical modelling, logit model, probit model, MDA-model, Russian market.
Funding agency Grant number
Ministry of Education and Science of the Russian Federation 02.A03.21.0006
The work was supported by Act 211 of the Government of the Russian Federation (contract no. 02.A03.21.0006) and GSEM UrFU Development Fund.
Received: 24.03.2020
Document Type: Article
UDC: 330.322.013+001.895
MSC: 97M40
Language: English
Citation: G. S. Chebotareva, W. Strielkowski, N. S. Gafurov, “Applicability of forecasted bankruptcy models to Russian industrial companies”, Vestnik YuUrGU. Ser. Mat. Model. Progr., 13:3 (2020), 98–102
Citation in format AMSBIB
\Bibitem{CheStrGaf20}
\by G.~S.~Chebotareva, W.~Strielkowski, N.~S.~Gafurov
\paper Applicability of forecasted bankruptcy models to Russian industrial companies
\jour Vestnik YuUrGU. Ser. Mat. Model. Progr.
\yr 2020
\vol 13
\issue 3
\pages 98--102
\mathnet{http://mi.mathnet.ru/vyuru563}
\crossref{https://doi.org/10.14529/mmp200311}
Linking options:
  • https://www.mathnet.ru/eng/vyuru563
  • https://www.mathnet.ru/eng/vyuru/v13/i3/p98
  • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Statistics & downloads:
    Abstract page:86
    Full-text PDF :51
    References:22
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024