FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY
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Altman (1968) suggested multiple discriminant analysis as the solution, seeing its major advantage as analyzing the entire variable profile simultaneously rather than sequentially.
“This led him, after careful consideration, to suggest multiple discriminate analyses as the solution.”
From A Neural Network Approach to Estimating the Allowance for Bad Debt (2011) · cites this paper as Altman (1968)
Using multiple discriminant analysis, Altman (1968) obtained a relevant amount of accuracy in bankruptcy prediction.
“Using multiple discriminant analysis, Altman (1968) was able to obtain a relevant amount of accuracy in bankruptcy prediction.”
From A Neural Network Approach to Estimating the Allowance for Bad Debt (2011) · cites this paper as Altman (1968)
Altman (1968) indicated that an overall bankruptcy assessment should be based upon a combination of measures.
“As a result, Altman (1968) indicated that an overall bankruptcy assessment should be based upon a combination of measures.”
From A Neural Network Approach to Estimating the Allowance for Bad Debt (2011) · cites this paper as Altman (1968)
The analysis includes matched samples constructed following Altman (1968) and Beaver (1966) based on stratified random sampling, matching a non-failed bank of similar size for every failed bank for the corresponding year.
“The analysis includes matched samples that were constructed following Altman (1968) and Beaver (1966) in pairing the datasets based on a stratified random sampling, in which a non-failed bank of similar size is matched for every failed bank for the corresponding year.”
From Bank failure prediction: corporate governance and financial indicators (2023) · cites this paper as Altman 1968
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- Authors
- Altman, E. I.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Altman, Edward I.
- ORCID
- Altman, Edward I.
- Venue
- The Journal of Finance
- Publisher
- Wiley
- Published
- 1968-09
- Volume
- 23
- Issue
- 4
- Pages
- 589-609
- ISSN
- 0022-1082 (ISSN-L)
- 1540-6261
- OpenAlex
- W2124532504
- Cited by
- 14,888
- References
- 0
- Citations by year
- 2026: 826 · 2025: 948 · 2024: 985 · 2023: 976 · 2022: 806 · 2021: 823 · 2020: 780 · 2019: 677 · 2018: 690 · 2017: 635 · 2016: 626 · 2015: 609 · 2014: 634 · 2013: 599 · 2012: 564
- FWCI
- 89.47
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The Journal of Finance (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 › Business, Management and Accounting › Accounting › Financial Analysis and Corporate Governance
- Keywords
- corporate bankruptcy prediction, financial ratios, discriminant analysis, financial distress
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