Bankruptcy prediction models as a source of assessment of the company’s financial situation
The Central European Review of Economics and Management
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Title |
Bankruptcy prediction models as a source of assessment of the company’s financial situation
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Creator |
Barlik, Justyna Beata
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Subject |
Economics, finance
discriminatory models, bankruptcy of the company, financial situation. G01,G11,G17 |
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Description |
Aim: The aim of the work is to make an attempt at matching an appropriate discriminatory model to companies in the Polish energy sector in 2013-2015.Design/Research methods: The unitary financial statements of five companies from the energy sector in Poland over the period of 2013-2015 were studied. Following the example of practical calculations, the effects and result of the methods used were presented.Conclusions / findings: Assigning accurately a particular model to the whole energy industry is not possible, as there has not been any research so far that would allow for matching bankruptcy prediction models to specific industries and enterprises. When assessing the risk of failure, taking into account just one model is not sufficient.Originality / value of the article: Demonstration of many methodical problems that require further research in order to find optimal methods for matching discriminatory models to specific market segments.Key words: discriminatory models, bankruptcy of the company, financial situation.JEL: G01,G11,G17
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Publisher |
WSB University in Wroclaw Publishing Department
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Contributor |
—
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Date |
2018-06-23
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Scientific Article Artykuł naukowy |
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Format |
application/pdf
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Identifier |
http://ojs.wsb.wroclaw.pl/index.php/WSBRJ/article/view/479
10.29015/cerem.479 |
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Source |
The Central European Review of Economics and Management; Vol 2, No 2 (2018); 159-177
The Central European Review of Economics and Management; Vol 2, No 2 (2018); 159-177 2544-0365 2543-9472 |
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Language |
eng
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Relation |
http://ojs.wsb.wroclaw.pl/index.php/WSBRJ/article/view/479/389
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Rights |
Copyright (c) 2018 WSB University in Wroclaw
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