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Bankruptcy prediction for Russian companies: Application of combined classifiers
9 references·16 citing·39 second hop
Bankruptcy prediction for Russian companies: Application of combined classifiers (2013)Bankruptcy prediction for Russian compani…Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)Bankruptcy prediction in firm…Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks (2009)Comparing four bankruptcy pre…A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction (2009)A hybrid approach based on th…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)Predicting bank financial fai…A binary classification method for bankruptcy prediction (2008)A binary classification metho…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…The Assessment of Company Solvency and Performance Using a Statistical Model (1983)The Assessment of Company Sol…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Machine learning techniques in bankruptcy prediction: A systematic literature review (2024)Machine learning techniques i…Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment (2022)Novel hybrid ensemble credit …Comparing the Performance of Deep Learning Methods to Predict Companies’ Financial Failure (2021)Comparing the Performance of …A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring (2021)A new hybrid ensemble model w…A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring (2020)A novel multi-stage ensemble …Machine learning models and cost-sensitive decision trees for bond rating prediction (2019)Machine learning models and c…Forecasting bankruptcy using biclustering and neural network-based ensembles (2019)Forecasting bankruptcy using …Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries (2018)Review of Research into Enter…RETRACTED ARTICLE: Intelligent hybrid model for financial crisis prediction using machine learning techniques (2018)RETRACTED ARTICLE: Intelligen…Failure pattern-based ensembles applied to bankruptcy forecasting (2018)Failure pattern-based ensembl…Dynamic prediction of financial distress using Malmquist DEA (2017)Dynamic prediction of financi…Distressed Chinese firm prediction with discretized data (2017)Distressed Chinese firm predi…Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem (2016)Using an ensemble classifier …Predicting corporate financial distress using data mining techniques (2016)Predicting corporate financia…An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach (2016)An Effective Computational Mo…A Global Model for Bankruptcy Prediction (2016)A Global Model for Bankruptcy…The Application of Electronic Computers to Factor Analysis (1960)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Clustering and visualization of bankruptcy trajectory using self-organizing map (2012)Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market (2019)Credit Rationing in Markets with Imperfect Information (1981)Research on financial early warning of mining listed companies based on BP neural network model (2021)Rethinking SME default prediction: a systematic literature review and future perspectives (2021)Financial Ratios As Predictors of Failure (1966)Using partial least squares and support vector machines for bankruptcy prediction (2011)Prediction of Stock Performance in the Indian Stock Market Using Logistic Regression (2012)The effects of handling outliers on the performance of bankruptcy prediction models (2018)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches (2015)Incorporating textual and management factors into financial distress prediction: A comparative study of machine learning methods (2020)Linear models in decision making. (1974)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The Analysis and Use of Financial Ratios: A Review Article (1987)The Audit Report under Going Concern Uncertainties: An Empirical Analysis (1992)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Financial crises and bank failures: A review of prediction methods (2009)Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)The Measurement of Productive Efficiency (1957)Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries (2016)Ranking sustainable suppliers by context-dependent data envelopment analysis (2019)A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description (2021)Bank efficiency and failure prediction: a nonparametric and dynamic model based on data envelopment analysis (2022)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? 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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
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1983The Assessment of Company Solvency and Performance Using a Statistical Model345 cited
  • 2008Predicting 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 Turkey286 cited
  • 2009Comparing four bankruptcy prediction models: Logit, quadratic interval logit, neural and fuzzy neural networks164 cited
  • 2011Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches127 cited
  • 2008A binary classification method for bankruptcy prediction117 cited
  • 2009A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction116 cited

Cited by

  • 2017Dynamic prediction of financial distress using Malmquist DEA95 cited
  • 2016An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach82 cited
  • 2018Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries79 cited

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  • 2016Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem77 cited
  • 2016A Global Model for Bankruptcy Prediction74 cited
  • 2018RETRACTED ARTICLE: Intelligent hybrid model for financial crisis prediction using machine learning techniques68 cited
  • 2020A novel multi-stage ensemble model with enhanced outlier adaptation for credit scoring67 cited
  • 2019Machine learning models and cost-sensitive decision trees for bond rating prediction66 cited
  • 2018Failure pattern-based ensembles applied to bankruptcy forecasting65 cited
  • 2024Machine learning techniques in bankruptcy prediction: A systematic literature review62 cited
  • 2021A new hybrid ensemble model with voting-based outlier detection and balanced sampling for credit scoring60 cited
  • 2021Comparing the Performance of Deep Learning Methods to Predict Companies’ Financial Failure51 cited
  • 2019Forecasting bankruptcy using biclustering and neural network-based ensembles42 cited
  • 2016Predicting corporate financial distress using data mining techniques40 cited
  • 2022Novel hybrid ensemble credit scoring model with stacking-based noise detection and weight assignment40 cited
  • 2017Distressed Chinese firm prediction with discretized data37 cited