THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE

E. A. Fedorova () and S. E. Dovzhenko

Strategic decisions and risk management, 2015, issue 6

Abstract: Models based on the application of logit regression are constructed for the prediction of bankruptcy for the construction industry and the agricultural sector on the basis of performance accounted for by Russian legislation. Models predict bankruptcy of Russian companies spanning more than 80%. According to the study it was found that such factors as return on assets, the ratio of receivables to total assets, the availability of internal funds, margin costs, liquidity in mobilizing funds are universal in predicting bankruptcy and financial assessment industries of construction and agriculture (these figures are significant at the 5% significance level for both sectors).

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.jsdrm.ru/jour/article/viewFile/366/365 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abw:journl:y:2015:id:366

DOI: 10.17747/2078-8886-2014-6-94-99

Access Statistics for this article

More articles in Strategic decisions and risk management from Real Economy Publishing House
Bibliographic data for series maintained by ООО Ð˜Ð·Ð´Ð°Ñ‚ÐµÐ»ÑŒÑ ÐºÐ¸Ð¹ дом Â«Ð ÐµÐ°Ð»ÑŒÐ½Ð°Ñ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°Â» ().