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Small- and medium-enterprises bankruptcy dataset
Bankruptcy prediction is a long-standing issue that receives significant attention of academic researchers and industry practitioners. Most of the papers on bankruptcy prediction focus on companies that are listed on the stock market, and there are only limited data for the rest of the companies. Th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706765/ https://www.ncbi.nlm.nih.gov/pubmed/31463350 http://dx.doi.org/10.1016/j.dib.2019.104360 |
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author | Drotár, Peter Gnip, Peter Zoričak, Martin Gazda, Vladimír |
author_facet | Drotár, Peter Gnip, Peter Zoričak, Martin Gazda, Vladimír |
author_sort | Drotár, Peter |
collection | PubMed |
description | Bankruptcy prediction is a long-standing issue that receives significant attention of academic researchers and industry practitioners. Most of the papers on bankruptcy prediction focus on companies that are listed on the stock market, and there are only limited data for the rest of the companies. These companies, not indexed at any stock market, represent a significant part of the economy. The presented dataset consists of financial ratios of Slovak companies. There are 21 distinctive financial ratios which are available for three consecutive years prior to evaluation year in which companies may have filed for bankruptcy or not. The companies come from four different industries - agriculture, construction, manufacture, retail. We provide data for four consecutive years 2013–2016 for each industry. All companies are categorized as small-medium enterprises according to EU classification. Prediction performance results on this dataset are published in the research paper “Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets” (Zoričák et al., 2019). |
format | Online Article Text |
id | pubmed-6706765 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-67067652019-08-28 Small- and medium-enterprises bankruptcy dataset Drotár, Peter Gnip, Peter Zoričak, Martin Gazda, Vladimír Data Brief Economics, Econometrics and Finance Bankruptcy prediction is a long-standing issue that receives significant attention of academic researchers and industry practitioners. Most of the papers on bankruptcy prediction focus on companies that are listed on the stock market, and there are only limited data for the rest of the companies. These companies, not indexed at any stock market, represent a significant part of the economy. The presented dataset consists of financial ratios of Slovak companies. There are 21 distinctive financial ratios which are available for three consecutive years prior to evaluation year in which companies may have filed for bankruptcy or not. The companies come from four different industries - agriculture, construction, manufacture, retail. We provide data for four consecutive years 2013–2016 for each industry. All companies are categorized as small-medium enterprises according to EU classification. Prediction performance results on this dataset are published in the research paper “Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets” (Zoričák et al., 2019). Elsevier 2019-08-06 /pmc/articles/PMC6706765/ /pubmed/31463350 http://dx.doi.org/10.1016/j.dib.2019.104360 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Economics, Econometrics and Finance Drotár, Peter Gnip, Peter Zoričak, Martin Gazda, Vladimír Small- and medium-enterprises bankruptcy dataset |
title | Small- and medium-enterprises bankruptcy dataset |
title_full | Small- and medium-enterprises bankruptcy dataset |
title_fullStr | Small- and medium-enterprises bankruptcy dataset |
title_full_unstemmed | Small- and medium-enterprises bankruptcy dataset |
title_short | Small- and medium-enterprises bankruptcy dataset |
title_sort | small- and medium-enterprises bankruptcy dataset |
topic | Economics, Econometrics and Finance |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6706765/ https://www.ncbi.nlm.nih.gov/pubmed/31463350 http://dx.doi.org/10.1016/j.dib.2019.104360 |
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