that models are able to notice correct labels for active companies, however, the longer time period to bankruptcy is, the worse the results are, or the results are inconsistent for bankrupted companies which have been active till now. The authors of course also say that bankruptcy prediction is characterized by the fact that the results are markedly infl uenced by the data used and partly by setting of classifi cation models. Karas and Rekov (2017) verifi ed whether bankruptcy predictors are specifi c in terms of industry or time and established which predictors can signal an imminent bankruptcy more than one period before bankruptcy occurs. The research confi rmed their presumption.
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Stehel et al. (2019) studied this question.
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