Persons at MENDELU


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doc. Mgr. David Hampel, Ph.D.
Identification number: 18697
University e-mail: david.hampel.uso [at] mendelu.cz
 
Academic staff - Associate Professor - Department of Statistics and Operation Analysis (FBE)
Vice-dean - Faculty of Business and Economics

     
     
     
Publications     
     Supervised theses
     
Conferences
     

The following list contains all information available to the publication.

STAŇKOVÁ, M. -- HAMPEL, D. Bankruptcy Prediction Based on Data Envelopment Analysis. In Mathematical Methods in Economics 2019: Conference Proceedings. České Budějovice: Jihočeská univerzita v Českých Budějovicích, 2019, p. 31--36. ISBN 978-80-7394-760-6. URL: http://mme2019.ef.jcu.cz/files/conference_proceedings.pdf

Original name:
Bankruptcy Prediction Based on Data Envelopment Analysis
Czech name:
Written by (author):
Ing. Michaela Staňková, Ph.D.
doc. Mgr. David Hampel, Ph.D.
Department:
Department of Statistics and Operation Analysis
Kind of publication: article in proceedings
Collection:
Mathematical Methods in Economics 2019: Conference Proceedings
Nature of article:
paper
Part number:
Starting page:
31
Up to page:
36
Number of pages: 6
UT code by Web of Science:
EID code by Scopus:
Original language:
English
Description in original language: This article focuses on the classification based on data envelopment analysis for bankruptcy prediction of engineering companies in the EU. Data envelopment analysis is a technique developed in operational research that is typically used for efficiency evaluation. In this article, the data envelopment analysis method is used to find a "bankruptcy frontier", which makes it possible to classify the companies as active (healthy) or bankrupt. For this purpose an additive model is selected. We deal with 953 small and medium-sized engineering companies in the EU from which 51 companies bankrupted in 2014. All models are based on financial data of companies. With regards to financial theory, a set of 19 characteristics representing the four basic groups of financial indicators (i.e. solvency ratios, liquidity ratios, turnover ratios and profitability ratios) is chosen. The results show that the data envelopment analysis method could be a competitor in the area of bankruptcy prediction for other methods such as support vector machines or logistic regression.
Description in English:
Description in Czech:
Year of submission: 2019
Year of transmission:
RIV identification number:
URL: http://mme2019.ef.jcu.cz/files/conference_proceedings.pdf
 
Entry made by:
Markéta Hejčová, DiS.
Last change:
09/23/2019 08:38 (Markéta Hejčová, DiS.)

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Source specification:

Mathematical Methods in Economics 2019: Conference Proceedings. České Budějovice: Jihočeská univerzita v Českých Budějovicích, 2019. ISBN 978-80-7394-760-6.

Original name:
Mathematical Methods in Economics 2019: Conference Proceedings
English name:
Czech name:
Editor:
Kind of publication:
conference proceedings
ISBN:
978-80-7394-760-6
Publisher:
Jihočeská univerzita v Českých Budějovicích
Place of publishing: České Budějovice
Form of publication:
printed version
Issue and volume number:
Year of publication:
2019
Issue number:
Number of pages:
Entry:
37th International Conference Mathematical Methods in Economics 2019
Original language:
Description in original language:
Description in English:
Description in Czech:
 
Entry made by:
Last change:
09/23/2019 08:37 (Markéta Hejčová, DiS.)

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37th International Conference Mathematical Methods in Economics 2019. 2019, České Budějovice.

Original name:
37th International Conference Mathematical Methods in Economics 2019
English name:
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Kind of publication: holding a conference
Venue:
České Budějovice
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Time scope of event:
European event
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Held in year : 2019
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Year of transmission:
RIV identification number:
 
Entry made by: Markéta Hejčová, DiS.
Last change: 09/23/2019 08:37 (Markéta Hejčová, DiS.)

Evaluation of publication:

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