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KARAS, M. REŽŇÁKOVÁ, M.
Originální název
The Impact of Methodology on the Effectiveness of Bankruptcy Modeling
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The prevailing opinion in literature is that the accuracy of bankruptcy models cannot be appreciably improved by the choice of classification algorithm. A reflection of this conviction is the frequent usage of parametric methods. However, the nature of financial data places a limitation on the accuracy of these methods. An analysis of 1908 Czech industrial enterprises from 2004 to 2011 reveals that a nonparametric method, if used for the selection of model variables as well as the actual classification, can yield significantly better results than the traditional parametric approach.
Klíčová slova
bankruptcy prediction models, boosted trees, stepwise discriminant analysis
Autoři
KARAS, M.; REŽŇÁKOVÁ, M.
Rok RIV
2013
Vydáno
16. 7. 2013
ISBN
978-1-61804-198-2
Kniha
Recent Advances in Economics and Business Administration: Proceedings of the 2013 International Conference on Economics and Business Adminstration (EBA 2013)
Strany od
99
Strany do
102
Strany počet
4
BibTex
@inproceedings{BUT100610, author="Michal {Karas} and Mária {Režňáková}", title="The Impact of Methodology on the Effectiveness of Bankruptcy Modeling", booktitle="Recent Advances in Economics and Business Administration: Proceedings of the 2013 International Conference on Economics and Business Adminstration (EBA 2013)", year="2013", pages="99--102", isbn="978-1-61804-198-2" }