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Machine learning techniques in bankruptcy prediction: A systematic literature review
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Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)Machine learning techniques in bankruptcy…Financial applications of machine learning: A literature review (2023)Financial applications of mac…Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Bankruptcy Prediction using t…Artificial intelligence and machine learning in finance: A bibliometric review (2022)Artificial intelligence and m…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)The PRISMA 2020 statement: an…CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)CatBoost model and artificial…The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2020)The PRISMA 2020 statement: an…Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2018)Predicting failure in the U.S…Deep learning models for bankruptcy prediction using textual disclosures (2018)Deep learning models for bank…Bankruptcy prediction using imaged financial ratios and convolutional neural networks (2018)Bankruptcy prediction using i…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Financial ratios and corporat…Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Ensemble boosted trees with s…The effect of feature selection on financial distress prediction (2014)The effect of feature selecti…Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Bankruptcy visualization and …Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods (2013)Performance of corporate bank…Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Corporate Ownership Around the World (1999)Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2020)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Forecasting with artificial neural networks: (1998)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Financial credit risk assessment: a recent review (2015)A hybrid ETS–ANN model for time series forecasting (2017)Financial Ratios As Predictors of Failure (1966)A comparative study on base classifiers in ensemble methods for credit scoring (2016)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Machine Learning in Banking Risk Management: A Literature Review (2019)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Proceedings of the International Joint Conference on Neural Networks, 2003. 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References

  • 2021The PRISMA 2020 statement: an updated guideline for reporting systematic reviews13,845 cited
  • 2020The PRISMA 2020 statement: an updated guideline for reporting systematic reviews8,068 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2018Deep learning models for bankruptcy prediction using textual disclosures480 cited
  • 2022Artificial intelligence and machine learning in finance: A bibliometric review468 cited
  • 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
  • 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study399 cited
  • 2021CatBoost model and artificial intelligence techniques for corporate failure prediction397 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2018Bankruptcy prediction using imaged financial ratios and convolutional neural networks322 cited
  • 2018Predicting failure in the U.S. banking sector: An extreme gradient boosting approach295 cited
  • 2014The effect of feature selection on financial distress prediction234 cited
  • 2023Financial applications of machine learning: A literature review230 cited
  • 2013Performance of corporate bankruptcy prediction models on imbalanced dataset: The effect of sampling methods

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215 cited
  • 2022Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering204 cited
  • 2014Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks201 cited
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