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  • The traditional bankruptcy models and their predictors cannot be used to predict bankruptcy in the Czech Republic as they have been intended for different business environments reflecting their specific features. Moreover, there are studies (Grice, Dugan, 2001; Wu, Gaunt, Gray, 2010; Niemann et al. 2008) showing that the precision of a bankruptcy model is significantly degraded if used in a field, period, and/or business environment different from that in which the learning data were observed. Building a new model is associated with pitfalls resulting from the character of bankruptcy data, e. g. the non-normality. In general, the fulfilment of method assumptions (e.g. normality) is one of the factors determining the quality of the rating model (Niemann et al, 2008). The discriminant analysis, as the most frequently used classification method used for bankruptcy prediction purposes, is based on the assumption of normality (Aziz, Dar, 2006). In praxis, financial data in the form of financial ratios are
  • The traditional bankruptcy models and their predictors cannot be used to predict bankruptcy in the Czech Republic as they have been intended for different business environments reflecting their specific features. Moreover, there are studies (Grice, Dugan, 2001; Wu, Gaunt, Gray, 2010; Niemann et al. 2008) showing that the precision of a bankruptcy model is significantly degraded if used in a field, period, and/or business environment different from that in which the learning data were observed. Building a new model is associated with pitfalls resulting from the character of bankruptcy data, e. g. the non-normality. In general, the fulfilment of method assumptions (e.g. normality) is one of the factors determining the quality of the rating model (Niemann et al, 2008). The discriminant analysis, as the most frequently used classification method used for bankruptcy prediction purposes, is based on the assumption of normality (Aziz, Dar, 2006). In praxis, financial data in the form of financial ratios are (en)
Title
  • Predicting bankruptcy in Czech Republic: The role of data transformation
  • Predicting bankruptcy in Czech Republic: The role of data transformation (en)
skos:prefLabel
  • Predicting bankruptcy in Czech Republic: The role of data transformation
  • Predicting bankruptcy in Czech Republic: The role of data transformation (en)
skos:notation
  • RIV/00216305:26510/12:PU99858!RIV13-MSM-26510___
http://linked.open...avai/riv/aktivita
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  • S
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  • 161003
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  • RIV/00216305:26510/12:PU99858
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  • Bankruptcy, normality, financial ratios, Box-Cox transformation, Shapiro-Wilks test (en)
http://linked.open.../riv/klicoveSlovo
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  • [86653D50F7BF]
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  • Brno
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  • Brno
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  • International Conference %22Trends in Economics and Management for the 21st Century%22
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http://linked.open...UplatneniVysledku
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  • Karas, Michal
  • Režňáková, Mária
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Neuveden
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  • 978-80-214-4581-9
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  • 26510
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