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Predicting corporate financial distress based on integration of support vector machine and logistic regression
9 references·16 citing·27 second hop
Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financial distress b…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Application of support vector machines in financial time series forecasting (2001)Application of support vector…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…PREDICTION OF BANK FAILURES (1970)PREDICTION OF BANK FAILURESFINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Generative AI-enabled supply chain management: The critical role of coordination and dynamism (2024)Generative AI-enabled supply …Reject inference in credit scoring using Semi-supervised Support Vector Machines (2017)Reject inference in credit sc…Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Hybrid genetic algorithm and …Ensemble classification based on supervised clustering for credit scoring (2016)Ensemble classification based…Novel feature selection methods to financial distress prediction (2013)Novel feature selection metho…Financial distress prediction using support vector machines: Ensemble vs. individual (2012)Financial distress prediction…Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry (2011)Forecasting business failure:…Financial ratio selection for business crisis prediction (2011)Financial ratio selection for…Combining cluster analysis with classifier ensembles to predict financial distress (2011)Combining cluster analysis wi…Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches (2011)Bankruptcy prediction in firm…Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis (2010)Prediction of hotel bankruptc…Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Predicting business failure u…Corporate financial distress diagnosis model and application in credit rating for listing firms in China (2010)Corporate financial distress …Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey (2009)Hybrid and ensemble-based sof…Ranking-order case-based reasoning for financial distress prediction (2008)Ranking-order case-based reas…Gaussian case-based reasoning for business failure prediction with empirical data in China (2008)Gaussian case-based reasoning…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier (2021)The Cross-Section of Expected Stock Returns (1992)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange 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this work references cited by second hop

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
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 1970PREDICTION OF BANK FAILURES501 cited

Cited by

  • 2011Combining cluster analysis with classifier ensembles to predict financial distress173 cited
  • 2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
  • 2016Ensemble classification based on supervised clustering for credit scoring160 cited
  • 2012Financial distress prediction using support vector machines: Ensemble vs. individual153 cited
  • 2010Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods

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141 cited
  • 2008Ranking-order case-based reasoning for financial distress prediction141 cited
  • 2017Reject inference in credit scoring using Semi-supervised Support Vector Machines132 cited
  • 2013Novel feature selection methods to financial distress prediction129 cited
  • 2011Bankruptcy prediction in firms with statistical and intelligent techniques and a comparison of evolutionary computation approaches127 cited
  • 2017Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction126 cited
  • 2024Generative AI-enabled supply chain management: The critical role of coordination and dynamism123 cited
  • 2010Corporate financial distress diagnosis model and application in credit rating for listing firms in China118 cited
  • 2010Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis117 cited
  • 2011Financial ratio selection for business crisis prediction108 cited
  • 2011Forecasting business failure: The use of nearest-neighbour support vectors and correcting imbalanced samples – Evidence from the Chinese hotel industry99 cited
  • 2008Gaussian case-based reasoning for business failure prediction with empirical data in China97 cited