Computational intelligence in finance has been a very popular topic for both academia and
financial industry in the last few decades. Numerous studies have been published resulting …

This paper assesses the classification performance of the Z‐Score model in predicting
bankruptcy and other types of firm distress, with the goal of examining the model's …

Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …

Financial distress prediction provides an effective warning system for banks and investors to
correctly guide decisions on granting credit. Ensemble methods have demonstrated their …

The main objective of this paper is to identify the determining factors of the optimal credit
guarantee ratio in four members of the Association of Southeast Asian Nations (ASEAN) …

This study introduces deep learning models for corporate bankruptcy forecasting using
textual disclosures. Although textual data are common, it is rarely considered in the financial …

Financial ratios play an important role in revealing corporate financial soundness, a role
which helps to maintain the competitive position of an enterprise, with the achievement of …

An improved grasshopper optimization algorithm (GOA) is proposed in this paper, termed as
SGOA, which combines simulated annealing (SA) mechanism with the original GOA that is a …

Many years have passed since Baesens et al. published their benchmarking study of
classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S …

The bankruptcy prediction research domain continues to evolve with many new different
predictive models developed using various tools. Yet many of the tools are used with the …