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 …

Purpose This paper aims to develop a corporate financial distress model for Indian listed
companies using financial and non-financial parameters by using a conditional logit …

There is an increasing interest in machine learning for bankruptcy prediction with more and
more researchers contributing to the literature. Although there is a considerable amount of …

Research background: In a modern economy, full of complexities, ensuring a business'
financial stability, and increasing its financial performance and competitiveness, has …

Managing and evaluating the probability of bankruptcy of Ukrainian enterprises is one of the
most complex and relevant problems of the economy and management. In the context of …

The importance of macroeconomic indicators on the performance of bankruptcy prediction
models has been a contentious issue, due in part to a lack of empirical evidence. Most …

This study explored the role of artificial intelligence (AI) in predicting companies' financial
distress. We used Artificial Neural Networks (ANN) to develop and test financial distress …

The article presents selected Polish early warning models (logit and discriminant models)
that allow the assessment of the risk of bankruptcy of a company, and the purpose of the …

This research aimed to determine whether and how financial analysis combined with
machine learning can support decision-making for sustainable business growth. This study …

Financial distress prediction is crucial in the financial domain because of its implications for
banks, businesses, and corporations. Serious financial losses may occur because of poor …