THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE

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%. Acco...

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Autores principales: E. A. Fedorova, S. E. Dovzhenko
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Lenguaje:RU
Publicado: Real Economics Publishing House 2015
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spelling oai:doaj.org-article:4d10363cd16a4d03b987ec27ef1362d02021-11-19T10:41:58ZTHE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE2618-947X2618-998410.17747/2078-8886-2014-6-94-99https://doaj.org/article/4d10363cd16a4d03b987ec27ef1362d02015-01-01T00:00:00Zhttps://www.jsdrm.ru/jour/article/view/366https://doaj.org/toc/2618-947Xhttps://doaj.org/toc/2618-9984Models 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).E. A. FedorovaS. E. DovzhenkoReal Economics Publishing House articlebankruptcy of enterprisealtman modelpredictive modelpredictive capabilityfulmer modelfgd-modelRisk in industry. Risk managementHD61RU Strategičeskie Rešeniâ i Risk-Menedžment, Vol 0, Iss 6, Pp 94-99 (2015)
institution DOAJ
collection DOAJ
language RU
topic bankruptcy of enterprise
altman model
predictive model
predictive capability
fulmer model
fgd-model
Risk in industry. Risk management
HD61
spellingShingle bankruptcy of enterprise
altman model
predictive model
predictive capability
fulmer model
fgd-model
Risk in industry. Risk management
HD61
E. A. Fedorova
S. E. Dovzhenko
THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE
description 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).
format article
author E. A. Fedorova
S. E. Dovzhenko
author_facet E. A. Fedorova
S. E. Dovzhenko
author_sort E. A. Fedorova
title THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE
title_short THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE
title_full THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE
title_fullStr THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE
title_full_unstemmed THE MODEL OF BANKRUPTCY FORECASTING THE CONSTRUCTION INDUSTRY AND AGRICULTURE
title_sort model of bankruptcy forecasting the construction industry and agriculture
publisher Real Economics Publishing House
publishDate 2015
url https://doaj.org/article/4d10363cd16a4d03b987ec27ef1362d0
work_keys_str_mv AT eafedorova themodelofbankruptcyforecastingtheconstructionindustryandagriculture
AT sedovzhenko themodelofbankruptcyforecastingtheconstructionindustryandagriculture
AT eafedorova modelofbankruptcyforecastingtheconstructionindustryandagriculture
AT sedovzhenko modelofbankruptcyforecastingtheconstructionindustryandagriculture
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