As of today there are a lot of well-known bankruptcy prediction models. Scientists have been paying much attention to the development of bankruptcy prediction models since 1970. However, most of them are unable to predict bankruptcy, thereby making it impossible for firms to prevent it today....

The paper investigates predictive ability of existing bankruptcy prediction models suitable for small business by using dates of accounting report of Russian's firms. Combination of financial ratios analysis with bankruptcy prediction models' testing made it possible to identify the models...

We set out in this study to review a vast amount of recent literature on machine learning (ML) approaches to predicting financial distress (FD), including supervised, unsupervised and hybrid supervised-unsupervised learning algorithms. Four supervised ML models including the traditional support...

Most of the bankruptcy prediction models developed so far have in common that they are based on quantitative data or more precisely financial ratios. However, useful information can be lost when disregarding soft information. In this work, we develop an automated content analysis technique to...

Given the global attention and attraction of many scholars and researchers to develop prediction models for determining the going concern of businesses, there is a growing need to monitor progress and trends in the field. As such, the study aims to analyse the evolution of prediction models for...