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Statements

Subject Item
n2:RIV%2F00216305%3A26510%2F12%3APU99858%21RIV13-MSM-26510___
rdf:type
skos:Concept n9:Vysledek
dcterms:description
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
dcterms:title
Predicting bankruptcy in Czech Republic: The role of data transformation Predicting bankruptcy in Czech Republic: The role of data transformation
skos:prefLabel
Predicting bankruptcy in Czech Republic: The role of data transformation Predicting bankruptcy in Czech Republic: The role of data transformation
skos:notation
RIV/00216305:26510/12:PU99858!RIV13-MSM-26510___
n9:predkladatel
n10:orjk%3A26510
n3:aktivita
n13:S
n3:aktivity
S
n3:dodaniDat
n4:2013
n3:domaciTvurceVysledku
n15:2208776 n15:3116603
n3:druhVysledku
n18:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
161003
n3:idVysledku
RIV/00216305:26510/12:PU99858
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Bankruptcy, normality, financial ratios, Box-Cox transformation, Shapiro-Wilks test
n3:klicoveSlovo
n12:Box-Cox%20transformation n12:Bankruptcy n12:financial%20ratios n12:normality n12:Shapiro-Wilks%20test
n3:kontrolniKodProRIV
[86653D50F7BF]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Brno
n3:nazevZdroje
International Conference %22Trends in Economics and Management for the 21st Century%22
n3:obor
n7:AE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n4:2012
n3:tvurceVysledku
Režňáková, Mária Karas, Michal
n3:typAkce
n11:WRD
n3:zahajeniAkce
2012-09-20+02:00
s:numberOfPages
8
n21:hasPublisher
Neuveden
n17:isbn
978-80-214-4581-9
n14:organizacniJednotka
26510