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Statements

Subject Item
n2:RIV%2F00216305%3A26510%2F14%3APU111363%21RIV15-MSM-26510___
rdf:type
n7:Vysledek skos:Concept
dcterms:description
This paper presents the results of research into the prediction capability of financial proportional indicators on companies operating in different environments. The subject of the research are indicators used in the Z-score model which is considered a model with good prediction capability by many contemporary authors. Our research has shown that the prediction capability of this model is lower than that declared by the author. This finding led us to an investigation of the prediction capability of individual model variables in an attempt to determine whether the lower prediction accuracy of the model may be influenced by the variables used. The research was conducted on the basis of data on companies in the manufacturing industry in Visegrad Four countries for the years 2006 to 2012 obtained from the AMADEUS database. The results demonstrated the differing significance of variables in the individual countries which indicates the necessity of creating original models for each country. This paper presents the results of research into the prediction capability of financial proportional indicators on companies operating in different environments. The subject of the research are indicators used in the Z-score model which is considered a model with good prediction capability by many contemporary authors. Our research has shown that the prediction capability of this model is lower than that declared by the author. This finding led us to an investigation of the prediction capability of individual model variables in an attempt to determine whether the lower prediction accuracy of the model may be influenced by the variables used. The research was conducted on the basis of data on companies in the manufacturing industry in Visegrad Four countries for the years 2006 to 2012 obtained from the AMADEUS database. The results demonstrated the differing significance of variables in the individual countries which indicates the necessity of creating original models for each country.
dcterms:title
Can the same indicators serve for the prediction of bankruptcy in a different environment? Can the same indicators serve for the prediction of bankruptcy in a different environment?
skos:prefLabel
Can the same indicators serve for the prediction of bankruptcy in a different environment? Can the same indicators serve for the prediction of bankruptcy in a different environment?
skos:notation
RIV/00216305:26510/14:PU111363!RIV15-MSM-26510___
n3:aktivita
n14:S
n3:aktivity
S
n3:dodaniDat
n17:2015
n3:domaciTvurceVysledku
n5:3116603 n5:2208776
n3:druhVysledku
n12:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
6132
n3:idVysledku
RIV/00216305:26510/14:PU111363
n3:jazykVysledku
n8:eng
n3:klicovaSlova
Z-score, Altman model, bankruptcy prediction, financial ratios, corporate failure
n3:klicoveSlovo
n6:Altman%20model n6:Z-score n6:financial%20ratios n6:corporate%20failure n6:bankruptcy%20prediction
n3:kontrolniKodProRIV
[F08ABF207B89]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Neuveden
n3:nazevZdroje
Managing and Modelling of Financial Risks 7th International Scientific Conference, PROCEEDINGS, (Part II.)
n3:obor
n9:AE
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n17:2014
n3:tvurceVysledku
Karas, Michal Režňáková, Mária
n3:typAkce
n20:EUR
n3:wos
000350605800041
n3:zahajeniAkce
2014-09-08+02:00
s:numberOfPages
9
n11:hasPublisher
Neuveden
n16:isbn
978-80-248-3631-7
n18:organizacniJednotka
26510