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KARAS, M. REŽŇÁKOVÁ, M.
Originální název
Predicting bankruptcy under alternative conditions: the effect of a change in industry and time period on the accuracy of the model
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
According to literature bankruptcy prediction models are less accurate if applied in under alternative conditions. In our previous research we created our own bankruptcy prediction model. When creating the model we tried to applicate an approach different to previous ones. For creating the model we used the traditional method of linear discrimination analysis, but we employed only transformed variables with approximately normal distribution. What is more, the variables pairs are mostly negatively correlated. According to literature such factors should positively influence the model accuracy. However there is a very limited literacy how such application affects the stability of model’s accuracy. The aim of this paper is to analyse the stability of model’s accuracy in application in different time period or different line of business. Moreover, we aim to examine and discuss the effectiveness of the procedure which was used to create the model.
Klíčová slova
bankruptcy prediction models; model accuracy; model robustness
Autoři
KARAS, M.; REŽŇÁKOVÁ, M.
Rok RIV
2015
Vydáno
1. 12. 2015
Nakladatel
Elsevier
ISSN
1877-0428
Periodikum
Procedia Social and Behavioral Sciences
Ročník
213
Číslo
1
Stát
Nizozemsko
Strany od
397
Strany do
403
Strany počet
7
URL
http://www.sciencedirect.com/science/article/pii/S1877042815059121
Plný text v Digitální knihovně
http://hdl.handle.net/11012/70151
BibTex
@inproceedings{BUT118189, author="Michal {Karas} and Mária {Režňáková}", title="Predicting bankruptcy under alternative conditions: the effect of a change in industry and time period on the accuracy of the model", booktitle="ICEM 2015", year="2015", journal="Procedia Social and Behavioral Sciences", volume="213", number="1", pages="397--403", publisher="Elsevier", doi="10.1016/j.sbspro.2015.11.557", issn="1877-0428", url="http://www.sciencedirect.com/science/article/pii/S1877042815059121" }