Stanovení pravděpodobnosti úpadku firem v České republice pomocí scóringového modelu
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Dolina, Libor
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
This Thesis is focused on Determination of Profitability of Default Firms in the Czech Republic by Scoring Model, according to the binary logistic regression, in years 2012 - 2013. The thesis is divided into five chapters, the first and fifth chapter includes an introduction and a conclusion. The second chapter is devoted to the description of the financial analysis. In the third chapter, the methodology for estimating predictive models. The practical part of this thesis is the fourth chapter in which aplicated teoretical knowledges on financial data company in the form limited liability company.
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Import 22/07/2015
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financial Analysis, discriminant analysis, regression analysis, logistic regression, rating models, scoring models, bankruptcy models, credibility models