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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorVojtasová, Mária
dc.contributor.authorAlexy, Martin
dc.date.accessioned2024-09-24T13:10:48Z
dc.date.available2024-09-24T13:10:48Z
dc.date.issued2024
dc.date.submitted2024-02-14
dc.identifier.citationVojtasová, M., & Alexy, M. (2024). Unveiling risk patterns through an in-depth analysis of Slovak company defaults (2014–2018). In New Trends in Contemporary Economics, Business and Management. Selected Proceedings of the 14th International Scientific Conference “Business and Management 2024”, pp. 538–545. https://doi.org/10.3846/bm.2024.1279en_US
dc.identifier.issn2029-4441en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154924
dc.description.abstractThis article comprehensively analyses Slovak company defaults between 2014 and 2018, seeking to identify non-financial risk patterns across different sectors, regions, company ages, and legal structures. The study encompasses 168,252 Slovak companies, of which 941 experienced defaults. This paper employs descriptive analysis to outline and summarize pivotal characteristics of the data, thereby understanding the overarching trends in company defaults. This method enables for a more informed approach to develop risk mitigation strategies. The main objective of this article is to unveil the non-financial risk patterns among defaulted companies. The scope of this analysis includes companies operating within Slovakia, offering a comprehensive view of the default dynamics within this geographical and economic context. Our findings point to a gradual decrease in company defaults over the study period. Bratislava region stood out as having the highest number of defaulted companies; however, when looking at the proportion of bankruptcies, Kosice region exhibited the highest percentage of business failures. An interesting age-related pattern emerged from our data, showing a significant concentration of defaults among companies aged between 3 to 9 years. Yet, when defaults are examined as proportions within each age group, companies aged 18 to 22 years demonstrated the highest bankruptcy rates. Industry-wise, the construction sector recorded the highest number of defaults, aligning with the general vulnerability of joint stock companies, which showed a higher likelihood of defaulting at older ages. On the contrary, limited liability companies tended to default more frequently at younger stages of their lifecycle. Notably, the information technology sector emerged as the industry with the lowest default rates, highlighting its relative financial stability compared to other sectors.en_US
dc.format.extent8 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.subjectbankruptcyen_US
dc.subjectdefaulten_US
dc.subjectrisk factorsen_US
dc.subjectcompanyen_US
dc.subjectsectoral analysisen_US
dc.titleUnveiling risk patterns through an in-depth analysis of Slovak company defaults (2014–2018)en_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeV. New perspectives on management and resilience of business organisationsen_US
dcterms.dateAccepted2024-04-11
dcterms.issued2024-09-24
dcterms.licenseCC BYen_US
dcterms.references26en_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/0009-0008-8475-3451, Vojtasová Mária
dc.contributor.orcidhttps://orcid.org/0000-0003-1894-1610, Alexy Martin
dc.contributor.institutionUniversity of Economics in Bratislavaen_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.description.fundingorganizationSlovak Scientific Agency VEGAen_US
dc.description.fundingorganizationEU COST Action CA19130 Fintechen_US
dc.description.fundingorganizationAI in Financeen_US
dc.description.grantnumberVEGA-1/0639/21en_US
dc.date.firstonline2024-09-24
dc.identifier.doihttps://doi.org/10.3846/bm.2024.1279en_US


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