Purpose Accounting information systems are mainly rule-based, and data are usually
available and well-structured. However, many accounting systems are yet to catch up with …

This research presents a systematic review of a substantial body of high-quality research
articles on Default Prediction Models published from 2015 to 2024. It is a comprehensive …

The area of corporate bankruptcy prediction attains high economic importance, as it affects
many stakeholders. The prediction of corporate bankruptcy has been extensively studied in …

Financial distress prediction (FDP) has been widely considered as a promising approach to
reducing financial losses. While financial information comprises the traditional factors …

This research aims to optimize deep learning models constituting long short-term memory
and dense neural networks using the genetic algorithm (GA). This novel scenario has been …

Abstract Machine-learning methods have recently been successfully used in different areas,
but there are also many fields where such studies have not been carried out. One of them is …

As a critical consideration in investment decisions, stock liquidity has significance for all
stakeholders in the market. It also has implications for the stock market's growth. Liquidity …

Corporations getting bankrupt has been a severe issue for investors, businesses as well as
ordinary individuals. Several research works have been conducted over the years to …

Bankruptcy prediction has become an emerging research area in recent years in the field of
business financial management. This study seeks to improve the application of artificial …

Detecting financial distress in businesses that lead to bankruptcy has been studied for a
century. Building large labeled bankruptcy data sets is non-trivial and challenging. We …