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Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises
16 references·1 citing·28 second hop
Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises (2022)Effects of classification, feature select…Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Bankruptcy Prediction using t…Rethinking SME default prediction: a systematic literature review and future perspectives (2021)Rethinking SME default predic…CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)CatBoost model and artificial…Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection (2020)Bankruptcy prediction for SME…Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Financial ratios and corporat…Variable selection and corporate bankruptcy forecasts (2014)Variable selection and corpor…The effect of feature selection on financial distress prediction (2014)The effect of feature selecti…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)Bankruptcy forecasting: An em…Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case (2004)Prediction of commercial bank…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Empirical models for the monitoring of UK corporations (1984)Empirical models for the moni…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…A dynamic financial risk prediction system for enterprises based on gradient boosting decision tree algorithm (2025)A dynamic financial risk pred…Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)A Discriminant Analysis of Predictors of Business Failure (1972)The Determinants of Banking Crises in Developing and Developed Countries (1998)Feature selection in bankruptcy prediction (2008)Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey (2008)A survey on bank branch efficiency and performance research with data envelopment analysis (2012)Corporate Ownership Around the World (1999)Financial applications of machine learning: A literature review (2023)Credit risk measurement: Developments over the last 20 years (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)How does financial literacy impact on inclusive finance? (2021)Cryptocurrency trading: a comprehensive survey (2022)Survey of feature selection and extraction techniques for stock market prediction (2023)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions (2023)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Deep learning models for bankruptcy prediction using textual disclosures (2018)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 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
  • 2020Bankruptcy prediction for SMEs using transactional data and two-stage multiobjective feature selection381 cited
  • 2004Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case298 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 2014Variable selection and corporate bankruptcy forecasts276 cited
  • 2014The effect of feature selection on financial distress prediction234 cited
  • 1984Empirical models for the monitoring of UK corporations

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218 cited
  • 2022Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering204 cited
  • 2021Rethinking SME default prediction: a systematic literature review and future perspectives149 cited
  • Cited by

    • 2025A dynamic financial risk prediction system for enterprises based on gradient boosting decision tree algorithm21 cited