Rodyti trumpą aprašą

dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorKuběnka, Michal
dc.contributor.authorHonková, Irena
dc.contributor.authorSejkora, František
dc.contributor.authorMlázovský, Martin
dc.date.accessioned2024-09-13T06:51:11Z
dc.date.available2024-09-13T06:51:11Z
dc.date.issued2024
dc.date.submitted2024-02-29
dc.identifier.citationKuběnka, M., Honková, I., Sejkora, F., & Mlázovský, M. (2024). The actual predictive power of bankruptcy models in terms of time use. In New Trends in Contemporary Economics, Business and Management. Selected Proceedings of the 14th International Scientific Conference “Business and Management 2024”, pp. 438–443. https://doi.org/10.3846/bm.2024.1302en_US
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154870
dc.description.abstractThe quality of bankruptcy models is habitually based on how well they can predict the financial health of a business a year in advance. However, corporate accounting data is publicly available usually with one year delay. So, the research question is not how accurate the prediction is one year in advance, but two years in advance. Therefore, an analysis of 7 models was performed to compare the change in their accuracy depending on time. The results showed a decline in prediction accuracy over time. The found total success rate of prediction is from 67.38% to 80.64%, which confirms that some of these models are also usable for two-year prediction of the financial health of the company.en_US
dc.format.extent6 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154651en_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154652en_US
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.source.urihttps://vilniustech.lt/bmen_US
dc.subjectbankruptcy modelen_US
dc.subjectfinancial distressen_US
dc.subjectaccuracy of predictionen_US
dc.subjectaccounting dataen_US
dc.subjecttime factoren_US
dc.titleThe actual predictive power of bankruptcy models in terms of time useen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeIV. Finance and investment: new challenges and opportunitiesen_US
dcterms.dateAccepted2024-04-14
dcterms.issued2024-09-13
dcterms.licenseCC BYen_US
dcterms.references34en_US
dc.description.versionTaip / Yesen_US
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publicationen_US
dc.contributor.orcidhttps://orcid.org/0000-0001-6636-1018, Kuběnka Michal
dc.contributor.orcidhttps://orcid.org/0000-0002-9335-040X, Honková Irena
dc.contributor.orcidhttps://orcid.org/0000-0002-1042-4662, Sejkora František
dc.contributor.orcidhttps://orcid.org/0000-0003-2270-2743, Mlázovský Martin
dc.contributor.institutionUniversity of Pardubiceen_US
dcterms.sourcetitle14th International Scientific Conference “Business and Management 2024”en_US
dc.description.volumeIen_US
dc.identifier.eisbn9786094763632en_US
dc.identifier.eissn2029-929Xen_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.date.firstonline2024-09-13
dc.identifier.doihttps://doi.org/10.3846/bm.2024.1302en_US


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Rodyti trumpą aprašą

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