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KARAS, M. REŽŇÁKOVÁ, M.
Originální název
To what degree is the accuracy of a bankruptcy prediction model affected by the environment? The case of the Baltic States and the Czech Republic
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
According to some authors, bankruptcy models are less accurate if used in an environment different from the one for which they were designed. This is due to the higher heterogeneity of the data. The accuracy of the prediction model may be improved by reducing this heterogeneity. An alternative solution to the problem of the limited transferability (e.g. robustness) of a model may be to identify the environmental factors that affect the models prediction accuracy and incorporate them into it. This paper presents research of the prediction accuracy of a bankruptcy model in four countries and the correlation found between the development of selected macroeconomic indicators in these countries. It proved possible in this way to identify those macroeconomic factors that show similar correlation patterns between given environments as investigated by the accuracy of the bankruptcy model. These factors include, first and foremost, the performance of the economy, inflation and unemployment. The incorporation into the model of such factors is very likely to increase model robustness.
Klíčová slova
Bankruptcy prediction; model robustness.
Autoři
KARAS, M.; REŽŇÁKOVÁ, M.
Rok RIV
2014
Vydáno
27. 12. 2014
Nakladatel
Elsevier
ISSN
1877-0428
Periodikum
Procedia Social and Behavioral Sciences
Ročník
156
Číslo
C
Stát
Nizozemsko
Strany od
564
Strany do
568
Strany počet
5
URL
https://www.sciencedirect.com/science/article/pii/S1877042814060613
Plný text v Digitální knihovně
http://hdl.handle.net/11012/70149
BibTex
@inproceedings{BUT111308, author="Michal {Karas} and Mária {Režňáková}", title="To what degree is the accuracy of a bankruptcy prediction model affected by the environment? The case of the Baltic States and the Czech Republic", booktitle="Procedia Social and Behavioral Sciences", year="2014", journal="Procedia Social and Behavioral Sciences", volume="156", number="C", pages="564--568", publisher="Elsevier", doi="10.1016/j.sbspro.2014.11.241", issn="1877-0428", url="https://www.sciencedirect.com/science/article/pii/S1877042814060613" }