Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
None of the existing studies that use financial ratios to predict US bank failure incorporates non-financial variables.
“However, none of these variables incorporates non-financial variables to predict bank failure.”
From Bank failure prediction: corporate governance and financial indicators (2023) · cites this paper as López Iturriaga and Sanz 2015
The reliability of failure prediction is a concern when the time horizon exceeds the short term.
“Similarly, López Iturriaga and Sanz (2015) state that the reliability of failure prediction is a concern when the time horizon exceeds the short term.”
From Bank failure prediction: corporate governance and financial indicators (2023) · cites this paper as López Iturriaga and Sanz 2015
Cites
Transaction aggregation as a strategy for credit card fraud detection
Whitrow, C., Hand, D. J., Juszczak, P., Weston, D., & Adams, N. M. (2009) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-008-0116-z · Cited by 337 · see citing works
Automated trading with performance weighted random forests and seasonality
Booth, A., Gerding, E., & McGroarty, F. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.12.009 · Cited by 154 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Zizi, Y., Jamali-Alaoui, A., El Goumi, B., Oudgou, M., & El Moudden, A. (2021) · Risks · doi:10.3390/risks9110200 · Cited by 47 · 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
- López Iturriaga, F. J., & Sanz, I. P.
- Affiliations
- Universidad de Valladolid (ES)
- ORCID
- Sanz, Iván Pastor
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 42
- Issue
- 6
- Pages
- 2857-2869
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2017988846
- Cited by
- 199
- References
- 2
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 21 · 2023: 13 · 2022: 22 · 2021: 25 · 2020: 24 · 2019: 15 · 2018: 23 · 2017: 23 · 2016: 13 · 2015: 8
- FWCI
- 59.35
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Expert Systems with Applications (publishedVersion)
- Funders
- Ministerio de Ciencia e Innovación
- 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 › Corporate Insolvency and Governance
- Keywords
- bank failure prediction, commercial banks, financial distress, multilayer perceptron, self-organizing maps, bank risk assessment, real estate lending, loan provisions, financial crisis, US banks
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
