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Cited by 283Financial Distress and Bankruptcy PredictionBanking stability, regulation, efficiencyBanking Sector Performance and Management

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Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey

Boyacioglu, Melek Acar, Kara, Yakup, Baykan, Ömer Kaan·2009·Expert Systems with Applications
DOI 10.1016/j.eswa.2008.01.003
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Metadata

Authors
Boyacioglu, M. A., Kara, Y., & Baykan, Ö. K.
Affiliations
Selçuk University (TR)
ORCID
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2009-03
Volume
36
Issue
2
Pages
3355-3366
ISSN
0957-4174 (ISSN-L)
DOI
10.1016/j.eswa.2008.01.003
OpenAlex
W2122684851
Cited by
283
References
0
Citations by year
2026: 15 · 2025: 10 · 2024: 19 · 2023: 12 · 2022: 15 · 2021: 25 · 2020: 22 · 2019: 14 · 2018: 18 · 2017: 18 · 2016: 16 · 2015: 20 · 2014: 9 · 2013: 16 · 2012: 20
FWCI
35.37
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
Expert Systems with Applications (publishedVersion)
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 failure prediction, bank distress, CAMELS ratios, financial ratios, artificial neural networks, support vector machine, multivariate discriminant analysis, K-means clustering, logistic regression, multilayer perceptron, self-organizing maps, learning vector quantization, competitive learning, Turkish banking sector

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CoChat. (2026). Citation check: Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey. https://app.cochat.ai/papers/10.1016/j.eswa.2008.01.003
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Boyacioglu, M. A., Kara, Y., & Baykan, Ö. K. (2009). Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2008.01.003