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ArticleData analytic approach for bankruptcy prediction

Chongseok Hyun2019

Article2019

Data analytic approach for bankruptcy prediction

Chongseok Hyun · Hyung Ju Hwang

142 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Corporate Insolvency and Governance Imbalanced Data Classification Techniques

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1977ZETATM analysis A new model to identify bankruptcy risk of corporations 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review 2017Machine learning models and bankruptcy prediction 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2003Credit Risk : Pricing, Measurement, and Management

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2021Financial distress prediction using a corrected feature selection measure and gradient boosted decision tree 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods 2022Review of Multi-Criteria Decision-Making Methods in Finance Using Explainable Artificial Intelligence 2021Big data analytics for default prediction using graph theory 2020Tax Default Prediction Using Feature Transformation-Based Machine Learning

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Details

Year2019

Typearticle

Published2019-07-15

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations142

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2019.07.033

openalex_workW2959801916

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2024Machine learning techniques in bankruptcy prediction: A systematic literature review

2021A Machine Learning-based DSS for mid and long-term company crisis prediction

2021Chinese corporate distress prediction using LASSO: The role of earnings management