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Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine
16 references·10 citing·21 second hop
Statistics-based wrapper for feature selection: An implementation on financial distress identification with support vector machine (2014)Statistics-based wrapper for feature sele…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy (2006)A real-valued genetic algorit…Hybrid genetic algorithms and support vector machines for bankruptcy prediction (2005)Hybrid genetic algorithms and…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Predicting Firm Financial Distress: A Mixed Logit Model (2004)Predicting Firm Financial Dis…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…Tests of the generalizability of Altman's bankruptcy prediction model (2001)Tests of the generalizability…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Business failure prediction using rough sets (1999)Business failure prediction u…Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…Early warning of bank failure (1977)Early warning of bank failureFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Predicting earnings management through machine learning ensemble classifiers (2022)Predicting earnings managemen…Impacts of crisis on SME bankruptcy prediction models’ performance (2022)Impacts of crisis on SME bank…Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods (2022)Identification of the most im…Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data (2022)Employee attrition prediction…Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises (2022)Effects of classification, fe…Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine (2022)Business Failure Prediction B…Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures (2020)Financial distress prediction…Predicting corporate financial distress using data mining techniques (2016)Predicting corporate financia…An intelligent pattern recognition model for supporting investment decisions in stock market (2016)An intelligent pattern recogn…A Combination of Models for Financial Crisis Prediction: Integrating Probabilistic Neural Network with Back-Propagation based on Adaptive Boosting (2016)A Combination of Models for F…Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)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)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)Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Credit risk measurement: Developments over the last 20 years (1997)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)Consumer credit-risk models via machine-learning algorithms (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)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)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? (2006)
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References

  • 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
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1977Early warning of bank failure960 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 1999Business failure prediction using rough sets493 cited
  • 2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy381 cited
  • 2004Predicting Firm Financial Distress: A Mixed Logit Model377 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2001Tests of the generalizability of Altman's bankruptcy prediction model360 cited
  • 1997

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Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis
273 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • Cited by

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    • 2020Financial distress prediction: Regularized sparse-based Random Subspace with ER aggregation rule incorporating textual disclosures57 cited
    • 2022Impacts of crisis on SME bankruptcy prediction models’ performance56 cited
    • 2022Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine47 cited
    • 2022Employee attrition prediction in a pharmaceutical company using both machine learning approach and qualitative data41 cited
    • 2016Predicting corporate financial distress using data mining techniques40 cited
    • 2022Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods32 cited
    • 2022Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises25 cited
    • 2022Predicting earnings management through machine learning ensemble classifiers23 cited
    • 2016A Combination of Models for Financial Crisis Prediction: Integrating Probabilistic Neural Network with Back-Propagation based on Adaptive Boosting20 cited