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Assessing bank soundness with classification techniques
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“Second, other research shows that incorporating non-financial variables has improved the accuracy of prediction models (Ioannidis et al. 2010).”
From Bank failure prediction: corporate governance and financial indicators (2023) · cites this paper as Ioannidis et al. 2010
In the citing paper
“Also, Ioannidis et al. (2010) use several financial and non-financial variables to assess banks' soundness; they find that the accuracy of classification of the models that include only financial variables is poor.”
From Bank failure prediction: corporate governance and financial indicators (2023) · cites this paper as Ioannidis et al. 2010
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Cited by
Sorted by citations
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
Metadata
- Authors
- Ioannidis, C., Pasiouras, F., & Zopounidis, C.
- Affiliations
- University of Bath (GB)
- Technical University of Crete (GR)
- Corresponding author
- Ioannidis, Christos
- Venue
- Omega
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 38
- Issue
- 5
- Pages
- 345-357
- ISSN
- 0305-0483 (ISSN-L)
- OpenAlex
- W2011549177
- Cited by
- 89
- References
- 1
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 5 · 2023: 4 · 2022: 2 · 2021: 5 · 2020: 4 · 2019: 2 · 2018: 5 · 2017: 7 · 2016: 6 · 2015: 9 · 2014: 4 · 2013: 15 · 2012: 4
- FWCI
- 12.35
- Type
- journal article
- Language
- en
- Open access
- green
- papers.ssrn.com
- Locations
- Omega (publishedVersion)
- SSRN Electronic Journal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Surrey Research Insight Open Access (The University of Surrey) (submittedVersion)
- Funders
- World Bank Group
- Topics
- Social Sciences › Business, Management and Accounting › Accounting › Financial Distress and Bankruptcy Prediction
- Social Sciences › Economics, Econometrics and Finance › Finance › Banking stability, regulation, efficiency
- Social Sciences › Business, Management and Accounting › Accounting › Banking Sector Performance and Management
- Keywords
- bank health, early warning model, bank classification, financial distress prediction, multicriteria decision aid, artificial neural networks, stacked models, regulatory environment, macroeconomic conditions, financial variables
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- Ioannidis, C., Pasiouras, F., & Zopounidis, C. (2010). Assessing bank soundness with classification techniques. Omega. https://doi.org/10.1016/j.omega.2009.10.009