High bankruptcy rates can lead to the collapse of economic systems. Therefore, having
accurate and reliable models to predict firms in financial distress allows for proper …

Corporate financial distress prediction research has been ongoing for more than half a
century, during which many models have emerged, among which ensemble learning …

Artificial intelligence is the science and engineering of machines that can mimic human
intelligence. Machine learning is the subfield of artificial intelligence in which computers …

Financial distress prediction is a key challenge every financing provider faces when
determining borrower creditworthiness. Inherent opaqueness of Small and Medium …

Bankruptcy prediction and credit scoring are major problems in financial distress prediction.
Studies have shown that prediction models can be made more effective by performing data …

Predicting the risk of financial distress of enterprises is an inseparable part of financial-
economic analysis, helping investors and creditors reveal the performance stability of any …

Applying machine learning techniques to predict bankruptcy in the sample of French, Italian,
Russian and Spanish firms, the study demonstrates that the inclusion of economic policy …

Bankruptcy analysis is needed to anticipate bankruptcy. Errors in predicting bankruptcy often
cause bankruptcy. Machine learning with high accuracy to analyze reversal must …

The corporate bankruptcy prediction literature has traditionally relied on data from public,
audited companies. However, the vast majority of firms worldwide are privately-held and …

Company bankruptcy is often a very big problem for companies. The impact of bankruptcy
can cause losses to elements of the company such as owners, investors, employees, and …