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

dc.contributor.authorKaras, Michalcs
dc.contributor.authorRežňáková, Máriacs
dc.coverage.issueCcs
dc.coverage.volume156cs
dc.date.issued2014-12-27cs
dc.description.abstractAccording 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.en
dc.description.abstractAccording 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.en
dc.formattextcs
dc.format.extent564-568cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationProcedia Social and Behavioral Sciences. 2014, vol. 156, issue C, p. 564-568.en
dc.identifier.doi10.1016/j.sbspro.2014.11.241cs
dc.identifier.issn1877-0428cs
dc.identifier.orcid0000-0001-8824-1594cs
dc.identifier.orcid0000-0002-7261-607Xcs
dc.identifier.other111308cs
dc.identifier.researcheridC-1261-2018cs
dc.identifier.researcheridAAQ-6282-2020cs
dc.identifier.scopus55321000300cs
dc.identifier.scopus36125352900cs
dc.identifier.urihttp://hdl.handle.net/11012/70149
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofProcedia Social and Behavioral Sciencescs
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S1877042814060613cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unportedcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/1877-0428/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cs
dc.subjectBankruptcy predictionen
dc.subjectmodel robustness.en
dc.subjectBankruptcy prediction
dc.subjectmodel robustness.
dc.titleTo what degree is the accuracy of a bankruptcy prediction model affected by the environment? The case of the Baltic States and the Czech Republicen
dc.title.alternativeTo what degree is the accuracy of a bankruptcy prediction model affected by the environment? The case of the Baltic States and the Czech Republicen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-111308en
sync.item.dbtypeVAVen
sync.item.insts2025.10.14 14:13:57en
sync.item.modts2025.10.14 10:16:14en
thesis.grantorVysoké učení technické v Brně. Fakulta podnikatelská. Ústav financícs

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