[HTML][HTML] Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction

J Zhao, J Ouenniche, J De Smedt - Machine Learning with Applications, 2024 - Elsevier
Corporate bankruptcy and financial distress prediction is a topic of interest for a variety of
stakeholders, including businesses, financial institutions, investors, regulatory bodies …

[HTML][HTML] Dea approaches for financial evaluation-a literature review

M Izadikhah - Advances in Mathematical Finance and …, 2022 - amfa.iau-arak.ac.ir
Financial assessment has been of great interest to both academic and practitioners in the
past decades. Among several performance assessment approaches, Data Envelopment …

Performance and productivity in Islamic and conventional banks: Evidence from the global financial crisis

C Alexakis, M Izzeldin, J Johnes, V Pappas - Economic Modelling, 2019 - Elsevier
We assess the performance and productivity of Islamic and conventional banks using
financial ratios, a two-and a four-component meta-frontier Malmquist productivity index …

Support vector machine methods and artificial neural networks used for the development of bankruptcy prediction models and their comparison

J Horak, J Vrbka, P Suler - Journal of Risk and Financial Management, 2020 - mdpi.com
Bankruptcy prediction is always a topical issue. The activities of all business entities are
directly or indirectly affected by various external and internal factors that may influence a …

The recurrence of financial distress: A survival analysis

F Zhou, L Fu, Z Li, J Xu - International Journal of Forecasting, 2022 - Elsevier
Companies often suffer periods of financial distress before filing for bankruptcy. Unlike one-
off bankruptcies, financial distress can occur repeatedly within the same individual firm. This …

Mining semantic features in patent text for financial distress prediction

C Jiang, Y Zhou, B Chen - Technological Forecasting and Social Change, 2023 - Elsevier
Financial distress prediction has been a popular topic over the decades. Most studies have
used accounting features from financial statements to predict financial distress. Compared to …

The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation

MM Mousavi, J Lin - Expert Systems with Applications, 2020 - Elsevier
Conflicting rankings corresponding to alternative performance criteria and measures are
mostly reported in the mono-criterion evaluation of competing distress prediction models …

Corporate bankruptcy prediction model, a special focus on listed companies in Kenya

D Ogachi, R Ndege, P Gaturu, Z Zoltan - Journal of Risk and Financial …, 2020 - mdpi.com
Predicting bankruptcy of companies has been a hot subject of focus for many economists.
The rationale for developing and predicting the financial distress of a company is to develop …

Ranking sustainable suppliers by context-dependent data envelopment analysis

M Izadikhah, R Farzipoor Saen - Annals of Operations Research, 2020 - Springer
Sustainable supplier selection is one of the most critical activities for establishing an
effective sustainable supply chain and is typically a multi-criteria decision-making problem …

A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment

F Shen, Y Liu, R Wang, W Zhou - Knowledge-Based Systems, 2020 - Elsevier
Corporate financial distress forecasts are important for companies, investors and regulatory
authorities. However, as most financial distress forecast (FDF) models in previous studies …