Predicting bankruptcy in Czech Republic: The role of data transformation

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Predicting bankruptcy in Czech Republic: The role of data transformation

Popis výsledku v původním jazyce

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. Buildinga 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 (Niemannet 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 finan

Název v anglickém jazyce

Predicting bankruptcy in Czech Republic: The role of data transformation

Popis výsledku anglicky

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. Buildinga 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 (Niemannet 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 finan

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

International Conference "Trends in Economics and Management for the 21st Century"

ISBN

978-80-214-4581-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

1-9

Název nakladatele

Neuveden

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

20. 9. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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