In this paper, we use a stacking ensemble to construct a bankruptcy prediction model. We
collect a comprehensive list of 40 financial ratios (FRs) and 21 corporate governance …

In the context of credit scoring, ensemble methods based on decision trees, such as the
random forest method, provide better classification performance than standard logistic …

Financial distress prediction is a central issue in empirical finance that has drawn a lot of
research interests in the literature. This paper aims to predict the financial distress of French …

The majority of studies on corporate bankruptcy detection are devoted to publicly-traded
firms in advanced economies. Literature on bankruptcy prediction for private corporations is …

We analyze empirically the usefulness of combining accounting and auditing data in order to
predict corporate financial distress. Concretely, we examine whether audit report information …

The aim of this study was to investigate whether firms' reporting delays are interconnected
with bankruptcy risk and its financial determinants. This study was based on 698,189 firm …

Recent studies of the prediction of corporate financial failure have taken into account many
factors, mostly corresponding to financial ratios derived from firms' annual accounts …

The COVID-19 epidemic has had a great adverse impact on the world, having taken a heavy
toll, killing hundreds of thousands of people. In order to help the world better combat COVID …

Despite the number of studies on bankruptcy prediction using financial ratios, very little is
known about how external audit information can contribute to anticipating financial distress …

In any competitive economy, the risk of bankruptcy is pervasive. The research aims to
contribute in improving the predictive power of bankruptcy and insolvency risk among …