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Cited by 214Financial Distress and Bankruptcy PredictionCorporate Insolvency and GovernanceForecasting Techniques and Applications

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Corporate bankruptcy prediction: a high dimensional analysis

Jones, Stewart·2017·Review of Accounting Studies
DOI 10.1007/s11142-017-9407-1
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Metadata

Authors
Jones, S.
Affiliations
The University of Sydney (AU)
Corresponding author
Jones, Stewart
ORCID
Jones, Stewart
Venue
Review of Accounting Studies
Publisher
Springer Science and Business Media LLC
Published
2017-06-17
Volume
22
Issue
3
Pages
1366-1422
ISSN
  • 1380-6653 (ISSN-L)
  • 1573-7136
DOI
10.1007/s11142-017-9407-1
OpenAlex
W2626475703
Cited by
214
References
3
Citations by year
2026: 25 · 2025: 41 · 2024: 33 · 2023: 37 · 2022: 21 · 2021: 18 · 2020: 19 · 2019: 10 · 2018: 6 · 2017: 1
FWCI
30.24
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Review of Accounting Studies (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Australian Research Council (ARC Project A7769)
Topics
  • Social Sciences › Business, Management and Accounting › Accounting › Financial Distress and Bankruptcy Prediction
  • Social Sciences › Law › Corporate Insolvency and Governance
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Forecasting Techniques and Applications
Keywords
corporate bankruptcy prediction, gradient boosting, high-dimensional predictors, ownership structure, ownership concentration, CEO compensation, firm size effect, financial ratios, macroeconomic factors, analyst recommendations, industry effects

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