Drotár Peter, Gnip Peter, Zoričak Martin, Gazda Vladimír
Technical University of Košice, Slovakia.
Data Brief. 2019 Aug 6;25:104360. doi: 10.1016/j.dib.2019.104360. eCollection 2019 Aug.
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).
破产预测是一个长期存在的问题，受到学术研究人员和行业从业者的高度关注。大多数关于破产预测的论文都集中在在股票市场上市的公司，而其他公司的数据则非常有限。这些未在任何股票市场上市的公司在经济中占很大一部分。所呈现的数据集包含斯洛伐克公司的财务比率。在评估年份之前连续三年有21个独特的财务比率，在此期间公司可能已申请破产或未申请破产。这些公司来自四个不同行业——农业、建筑业、制造业、零售业。我们为每个行业提供了2013 - 2016年连续四年的数据。根据欧盟分类，所有公司都被归类为中小企业。关于这个数据集的预测性能结果发表在研究论文《使用严重不平衡数据集对中小企业进行破产预测》（佐里恰克等人，2019年）中。
