Identification of bankruptcy factors for engineering companies in the EU

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43911796" target="_blank" >RIV/62156489:43110/17:43911796 - isvavai.cz</a>

Výsledek na webu

<a href="http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf" target="_blank" >http://fim2.uhk.cz/mme/conferenceproceedings/mme2017_conference_proceedings.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identification of bankruptcy factors for engineering companies in the EU

Popis výsledku v původním jazyce

This article focuses on the possibility of identification of factors leading to bankruptcy of the companies from engineering sector in EU. We deal with 953 small and medium-sized engineering companies in the EU from which 51 companies bankrupted in 2014. The data are collected from the Amadeus database of Bureau van Dijk. At first, we use factor analysis for reduction of the data dimension. Several meaningful results with different number of factors are found. We use the method of cluster analysis (with different settings) in order to identify the group of active and bankrupted companies; this analysis is based on original financial data and on artificial factors. Both steps are repeated for the data coming from one, two and three years before bankruptcy. Influence of data dimension reduction on cluster analysis results is discussed and final recommendations for further analyses are given.

Název v anglickém jazyce

Identification of bankruptcy factors for engineering companies in the EU

Popis výsledku anglicky

This article focuses on the possibility of identification of factors leading to bankruptcy of the companies from engineering sector in EU. We deal with 953 small and medium-sized engineering companies in the EU from which 51 companies bankrupted in 2014. The data are collected from the Amadeus database of Bureau van Dijk. At first, we use factor analysis for reduction of the data dimension. Several meaningful results with different number of factors are found. We use the method of cluster analysis (with different settings) in order to identify the group of active and bankrupted companies; this analysis is based on original financial data and on artificial factors. Both steps are repeated for the data coming from one, two and three years before bankruptcy. Influence of data dimension reduction on cluster analysis results is discussed and final recommendations for further analyses are given.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mathematical Methods in Economics 2017: Conference Proceedings

ISBN

978-80-7435-678-0

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

6

Strana od-do

714-719

Název nakladatele

Univerzita Hradec Králové

Místo vydání

Hradec Králové

Místo konání akce

Hradec Králové

Datum konání akce

13. 9. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000427151400122