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Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)
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Citations
Cited by
Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review
Ravi Kumar, P., & Ravi, V. (2007) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.08.043 · Cited by 1,074
Neural network credit scoring models
West, D. (2000) · Computers & Operations Research · doi:10.1016/s0305-0548(99)00149-5 · Cited by 1,033
Neural networks and statistical techniques: A review of applications
Paliwal, M., & Kumar, U. A. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.10.005 · Cited by 792
Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis
Zhang, G., Y. Hu, M., Eddy Patuwo, B., & C. Indro, D. (1999) · European Journal of Operational Research · doi:10.1016/s0377-2217(98)00051-4 · Cited by 677
The chairman’s statement ‐ A content analysis of discretionary narrative disclosures
Smith, M., & Taffler, R. J. (2000) · Accounting, Auditing & Accountability Journal · doi:10.1108/09513570010353738 · Cited by 462
Metadata
- Authors
- Altman, E. I., Marco, G., & Varetto, F.
- Venue
- Journal of Banking & Finance
- Publisher
- Elsevier BV
- Published
- 1994-05
- Volume
- 18
- Issue
- 3
- Pages
- 505-529
- ISSN
- 0378-4266 (ISSN-L)
- OpenAlex
- W2064031858
- Cited by
- 1,059
- References
- 0
- FWCI
- 43.06
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience). https://app.cochat.ai/papers/10.1016/0378-4266(94)90007-8
- The paper
- Altman, E. I., Marco, G., & Varetto, F. (1994). Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience). Journal of Banking & Finance. https://doi.org/10.1016/0378-4266(94)90007-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
