Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review
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Most studies on failure prediction were conducted on firms and not banks, and mainly focused on the period from 1980 to 2003.
“Their review reveals that most studies were conducted on firms and not banks, and mainly focused on the period from 1980 to 2003.”
From Bank failure prediction: corporate governance and financial indicators (2023) · cites this paper as Ravi Kumar and Ravi 2007
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Benchmarking state-of-the-art classification algorithms for credit scoring: an update of research
Lessmann, S., Baesens, B., Seow, H.-V., & Thomas, L. C. (2015) · European Journal of Operational Research · doi:10.1016/j.ejor.2015.05.030 · Cited by 1,284 · see citing works
Evaluation of credit risk based on firm performance
Psillaki, M., Tsolas, I. E., & Margaritis, D. (2010) · European Journal of Operational Research · doi:10.1016/j.ejor.2009.03.032 · Cited by 234 · see citing works
Explainability of Machine Learning Models for Bankruptcy Prediction
Park, M. S., Son, H., Hyun, C., & Hwang, H. J. (2021) · IEEE Access · doi:10.1109/access.2021.3110270 · Cited by 83 · see citing works
Bank failure prediction: corporate governance and financial indicators
Alzayed, N., Eskandari, R., & Yazdifar, H. (2023) · Review of Quantitative Finance and Accounting · doi:10.1007/s11156-023-01158-z · Cited by 23 · see citing works
- Authors
- Ravi Kumar, P., & Ravi, V.
- Affiliations
- Institute for Development and Research in Banking Technology (IN)
- Corresponding author
- Ravi, V.
- ORCID
- Ravi, V.
- Venue
- European Journal of Operational Research
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 180
- Issue
- 1
- Pages
- 1-28
- ISSN
- 0377-2217 (ISSN-L)
- OpenAlex
- W2098307847
- Cited by
- 1,074
- References
- 0
- Citations by year
- 2026: 27 · 2025: 48 · 2024: 44 · 2023: 60 · 2022: 52 · 2021: 65 · 2020: 67 · 2019: 61 · 2018: 67 · 2017: 73 · 2016: 62 · 2015: 60 · 2014: 62 · 2013: 62 · 2012: 60
- FWCI
- 93.30
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Operational Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Accounting › Financial Distress and Bankruptcy Prediction
- Social Sciences › Business, Management and Accounting › Accounting › Corporate Insolvency and Governance
- Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
- Keywords
- bankruptcy prediction, bank failures, corporate insolvency, financial ratios, artificial neural networks, case-based reasoning, decision tree, rough set theory, fuzzy logic, support vector machine, evolutionary algorithms, soft computing, forecast accuracy comparison
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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