Forecasting risk of bankruptcy for machine-building plants

E. Telipenko, Alexandra Alexandrovna Zakharova, Svetlana Sopova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The paper presents an overview of well-known bankruptcy risk forecasting models, elaborated as by Russian so by foreign authors, on the basis of the data about financial and business activities of the biggest machine-building Russian plants. The authors substantiate and confirm appropriateness of a fuzzy set model to the problem of bankruptcy risk forecasting. This model is worked out on the basis of 10 most important factors, which have the greatest influence on sales proceeds as the main financial source for a production plant.

Original languageEnglish
Title of host publicationIOP Conference Series: Materials Science and Engineering
PublisherInstitute of Physics Publishing
Volume91
Edition1
DOIs
Publication statusPublished - 14 Sep 2015
Event6th International Scientific Practical Conference on Innovative Technologies and Economics in Engineering - Yurga, Russian Federation
Duration: 21 May 201523 May 2015

Other

Other6th International Scientific Practical Conference on Innovative Technologies and Economics in Engineering
CountryRussian Federation
CityYurga
Period21.5.1523.5.15

ASJC Scopus subject areas

  • Engineering(all)
  • Materials Science(all)

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  • Cite this

    Telipenko, E., Zakharova, A. A., & Sopova, S. (2015). Forecasting risk of bankruptcy for machine-building plants. In IOP Conference Series: Materials Science and Engineering (1 ed., Vol. 91). [012066] Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/91/1/012066