波兰公司破产数据集

Data Set Information: The dataset is about bankruptcy prediction of Polish companies. The data was collected from Emerging Markets Information Service (EMIS, [Web link]), which is a database containing information on emerging markets around the world. The bankrupt companies were analyzed in the period 2000-2012, while the still operating companies were evaluated from 2007 to 2013. Basing on the collected data five classification cases were distinguished, that depends on the forecasting period: - 1stYear a€“ the data contains financial rates from 1st year of the forecasting period and corresponding class label that indicates bankruptcy status after 5 years. The data contains 7027 instances (financial statements), 271 represents bankrupted companies, 6756 firms that did not bankrupt in the forecasting period. - 2ndYear a€“ the data contains financial rates from 2nd year of the forecasting period and corresponding class label that indicates bankruptcy status after 4 years. The data contains 10173 instances (financial statements), 400 represents bankrupted companies, 9773 firms that did not bankrupt in the forecasting period. - 3rdYear a€“ the data contains financial rates from 3rd year of the forecasting period and corresponding class label that indicates bankruptcy status after 3 years. The data contains 10503 instances (financial statements), 495 represents bankrupted companies, 10008 firms that did not bankrupt in the forecasting period. - 4thYear a€“ the data contains financial rates from 4th year of the forecasting period and corresponding class label that indicates bankruptcy status after 2 years. The data contains 9792 instances (financial statements), 515 represents bankrupted companies, 9277 firms that did not bankrupt in the forecasting period. - 5thYear a€“ the data contains financial rates from 5th year of the forecasting period and corresponding class label that indicates bankruptcy status after 1 year. The data contains 5910 instances (financial statements), 410 represents bankrupted companies, 5500 firms that did not bankrupt in the forecasting period. Attribute Information: X1 net profit / total assets X2 total liabilities / total assets X3 working capital / total assets X4 current assets / short-term liabilities X5 [(cash + short-term securities + receivables - short-term liabilities) / (operating expenses - depreciation)] * 365 X6 retained earnings / total assets X7 EBIT / total assets X8 book value of equity / total liabilities X9 sales / total assets X10 equity / total assets X11 (gross profit + extraordinary items + financial expenses) / total assets X12 gross profit / short-term liabilities X13 (gross profit + depreciation) / sales X14 (gross profit + interest) / total assets X15 (total liabilities * 365) / (gross profit + depreciation) X16 (gross profit + depreciation) / total liabilities X17 total assets / total liabilities X18 gross profit / total assets X19 gross profit / sales X20 (inventory * 365) / sales X21 sales (n) / sales (n-1) X22 profit on operating activities / total assets X23 net profit / sales X24 gross profit (in 3 years) / total assets X25 (equity - share capital) / total assets X26 (net profit + depreciation) / total liabilities X27 profit on operating activities / financial expenses X28 working capital / fixed assets X29 logarithm of total assets X30 (total liabilities - cash) / sales X31 (gross profit + interest) / sales X32 (current liabilities * 365) / cost of products sold X33 operating expenses / short-term liabilities X34 operating expenses / total liabilities X35 profit on sales / total assets X36 total sales / total assets X37 (current assets - inventories) / long-term liabilities X38 constant capital / total assets X39 profit on sales / sales X40 (current assets - inventory - receivables) / short-term liabilities X41 total liabilities / ((profit on operating activities + depreciation) * (12/365)) X42 profit on operating activities / sales X43 rotation receivables + inventory turnover in days X44 (receivables * 365) / sales X45 net profit / inventory X46 (current assets - inventory) / short-term liabilities X47 (inventory * 365) / cost of products sold X48 EBITDA (profit on operating activities - depreciation) / total assets X49 EBITDA (profit on operating activities - depreciation) / sales X50 current assets / total liabilities X51 short-term liabilities / total assets X52 (short-term liabilities * 365) / cost of products sold) X53 equity / fixed assets X54 constant capital / fixed assets X55 working capital X56 (sales - cost of products sold) / sales X57 (current assets - inventory - short-term liabilities) / (sales - gross profit - depreciation) X58 total costs /total sales X59 long-term liabilities / equity X60 sales / inventory X61 sales / receivables X62 (short-term liabilities *365) / sales X63 sales / short-term liabilities X64 sales / fixed assets Relevant Papers: Zieba, M., Tomczak, S. K., & Tomczak, J. M. (2016). Ensemble Boosted Trees with Synthetic Features Generation in Application to Bankruptcy Prediction. Expert Systems with Applications. [Web link] Citation Request: Zieba, M., Tomczak, S. K., & Tomczak, J. M. (2016). Ensemble Boosted Trees with Synthetic Features Generation in Application to Bankruptcy Prediction. Expert Systems with Applications. [Web link] BibTeX: @article{zikeba2016ensemble, title={Ensemble Boosted Trees with Synthetic Features Generation in Application to Bankruptcy Prediction}, author={Zi{k{e}}ba, Maciej and Tomczak, Sebastian K and Tomczak, Jakub M}, journal={Expert Systems with Applications}, year={2016}, publisher={Elsevier} } Creator: Sebastian Tomczak -- Department of Operations Research, Wroc??aw University of Science and Technology, wybrze??e Wyspia??skiego 27, 50-370, Wroc??aw, Poland Donor: Sebastian Tomczak (sebastian.tomczak '@' pwr.edu.pl), Maciej Zieba (maciej.zieba '@' pwr.edu.pl), Jakub M. Tomczak (jakub.tomczak '@' pwr.edu.pl), Tel. [phone]