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Empirical models based on features ranking techniques for corporate financial distress prediction
16 references·5 citing·37 second hop
Empirical models based on features ranking techniques for corporate financial distress prediction (2012)Empirical models based on features rankin…Ensemble with neural networks for bankruptcy prediction (2009)Ensemble with neural networks…Incorporating domain knowledge into data mining classifiers: An application in indirect lending (2008)Incorporating domain knowledg…Bankruptcy prediction using a discrete‐time duration model incorporating temporal and macroeconomic dependencies (2008)Bankruptcy prediction using a…Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach (2008)Bankruptcy prediction modelin…Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)Bankruptcy forecasting: An em…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Bankruptcy prediction (2000)Bankruptcy predictionBankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…The probability of bankruptcy (1981)The probability of bankruptcyFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Predicting financial distress using machine learning approaches: Evidence China (2024)Predicting financial distress…ESG performance and financial distress prediction of energy enterprises (2024)ESG performance and financial…Forecasting distress in cooperative banks: The role of asset quality (2018)Forecasting distress in coope…Methodological approach of construction business failure prediction studies: a review (2016)Methodological approach of co…Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques (2016)Improving the prediction of g…The Cost of Capital, Corporation Finance and the Theory of Investment (1958)The Pricing of Options and Corporate Liabilities (1973)Using Operating Cash Flow Data to Predict Financial Distress: Some Extensions (1985)The Analysis and Use of Financial Ratios: A Review Article (1987)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)Financial credit risk assessment: a recent review (2015)A comparative study on base classifiers in ensemble methods for credit scoring (2016)What's In A Name? Malay Seals As Onomastic Sources (2018)Financial Ratios As Predictors of Failure (1966)Positive Accounting Theory (1985)Forecasting with artificial neural networks: (1998)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The effects of government ownership on bank lending (2003)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Stock market index prediction using artificial neural network (2016)Corporate bankruptcy prediction: a high dimensional analysis (2017)Fuzzy sets (1965)Measuring the efficiency of decision making units (1978)Fuzzy sets (1996)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Using artificial neural network models in stock market index prediction (2011)Financial Distress Prediction in an International Context: A Review and Empirical Analysis of Altman's Z‐ Score Model (2016)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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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
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 1981The probability of bankruptcy334 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 1997Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis273 cited
  • 2009Ensemble with neural networks for bankruptcy prediction266 cited
  • 2008Bankruptcy prediction modeling with hybrid case-based reasoning and genetic algorithms approach182 cited
  • 2000Bankruptcy prediction

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165 cited
  • 2008Incorporating domain knowledge into data mining classifiers: An application in indirect lending141 cited
  • 2008Bankruptcy prediction using a discrete‐time duration model incorporating temporal and macroeconomic dependencies133 cited
  • Cited by

    • 2024Predicting financial distress using machine learning approaches: Evidence China40 cited
    • 2024ESG performance and financial distress prediction of energy enterprises40 cited
    • 2016Methodological approach of construction business failure prediction studies: a review31 cited
    • 2018Forecasting distress in cooperative banks: The role of asset quality26 cited
    • 2016Improving the prediction of going concern of Taiwanese listed companies using a hybrid of LASSO with data mining techniques23 cited