Small- and medium-enterprises bankruptcy dataset.

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ID: 69826
2019
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Abstract
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).
Reference Key
drotr2019smalldata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Drotár, Peter;Gnip, Peter;Zoričak, Martin;Gazda, Vladimír;
Journal Data in brief
Year 2019
DOI
10.1016/j.dib.2019.104360
URL
Keywords
Machine learning imbalanced data bankruptcy financial ratios sme

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