Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikačního výsledku
REŽŇÁKOVÁ, M.; KARAS, M.
Originální název
The Prediction Capabilities of Bankruptcy Models in a Different Environment: An example of the Altman Model under the Conditions in the Visegrad Group Countries
Anglický název
Druh
Článek WoS
Originální abstrakt
This paper presents the results of research into the discrimination capability of the Altman bankruptcy model. The authors are contributing in this way to discussion of the possible transferability of models that have been created in a different environment or a different time period. Efforts at model transfer are motivated by an assumption to obtain the same or similar discrimination accuracy for the given model as that declared by its creators. The tests performed have clearly shown that the discrimination accuracy of a model falls significantly when it is used in a different environment. This led in turn to an investigation of ways in which the discrimination capability of a model may be increased by means of the determination of new weightings for model variables and grey-zone boundaries. The accuracy of the original models was not attained, although an increase was seen in the discrimination accuracy of these models.
Anglický abstrakt
Klíčová slova
bankruptcy prediction model transferability; linear discrimination analysis; Wilcoxon test; bootstrap
Klíčová slova v angličtině
Autoři
Rok RIV
2016
Vydáno
30.09.2015
Nakladatel
Ekonomický ústav SAV
Místo
Bratislava
ISSN
0013-3035
Periodikum
EKONOMICKY CASOPIS
Svazek
63
Číslo
6
Stát
Slovenská republika
Strany od
617
Strany do
633
Strany počet
17
BibTex
@article{BUT117919, author="Mária {Režňáková} and Michal {Karas}", title="The Prediction Capabilities of Bankruptcy Models in a Different Environment: An example of the Altman Model under the Conditions in the Visegrad Group Countries ", journal="EKONOMICKY CASOPIS", year="2015", volume="63", number="6", pages="617--633", issn="0013-3035" }
Dokumenty
0620131606 15 Reznakova + RS+S2