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Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction
5 references·16 citing·33 second hop
Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction (1996)Integration of case-based forecasting, ne…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…A neural network model for bankruptcy prediction (1990)A neural network model for ba…The probability of bankruptcy (1981)The probability of bankruptcyRatio Stability and Corporate Failure (1980)Ratio Stability and Corporate…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda (2023)Forecasting in financial acco…Novel feature selection methods to financial distress prediction (2013)Novel feature selection metho…Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation (2012)Bankruptcy prediction using S…The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory (2011)The prediction for listed com…Financial ratio selection for business crisis prediction (2011)Financial ratio selection for…AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies (2011)AdaBoost ensemble for financi…Prediction of hotel bankruptcy using support vector machine, artificial neural network, logistic regression, and multivariate discriminant analysis (2010)Prediction of hotel bankruptc…Clustering Indian stock market data for portfolio management (2010)Clustering Indian stock marke…Predicting business failure using multiple case-based reasoning combined with support vector machine (2009)Predicting business failure u…Assessing bank soundness with classification techniques (2009)Assessing bank soundness with…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…Predicting financial activity with evolutionary fuzzy case-based reasoning (2007)Predicting financial activity…Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors (2007)Financial distress prediction…Financial distress early warning based on group decision making (2007)Financial distress early warn…Financial distress prediction by a radial basis function network with logit analysis learning (2006)Financial distress prediction…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)Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)BANKRUPTCY PREDICTION ‐ AN INVESTIGATION OF CASH FLOW BASED MODELS [1] (1988)Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)The Determinants of Financial Health of Asian Insurance Companies (2004)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms (2019)Artificial intelligence (AI) and value co-creation in B2B sales: Activities, actors and resources (2020)Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods (2020)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Dynamics of firm financial evolution and bankruptcy prediction (2017)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)Positive Accounting Theory (1985)Designing a neural network for forecasting financial and economic time series (1996)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Forecasting with artificial neural networks: (1998)Neural network credit scoring models (2000)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Using an ensemble classifier based on sequential floating forward selection for financial distress prediction problem (2016)Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting (2020)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods (2010)Bankruptcy prediction for small- and medium-sized companies using severely imbalanced datasets (2019)A social-media-based approach to predicting stock comovement (2015)Relation between Financial Market Structure and the Real Economy: Comparison between Clustering Methods (2015)Scientometric review and analysis of recent approaches to stock market forecasting: Two decades survey (2022)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1981The probability of bankruptcy334 cited
  • 1980Ratio Stability and Corporate Failure293 cited

Cited by

  • 2010Clustering Indian stock market data for portfolio management230 cited
  • 2008Ranking-order case-based reasoning for financial distress prediction141 cited
  • 2013Novel feature selection methods to financial distress prediction129 cited
  • 2011AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies120 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
  • 2023Forecasting in financial accounting with artificial intelligence – A systematic literature review and future research agenda108 cited
  • 2011The prediction for listed companies’ financial distress by using multiple prediction methods with rough set and Dempster–Shafer evidence theory105 cited
  • 2007

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Financial distress early warning based on group decision making
98 cited
  • 2008Gaussian case-based reasoning for business failure prediction with empirical data in China97 cited
  • 2007Financial distress prediction based on OR-CBR in the principle of k-nearest neighbors91 cited
  • 2009Assessing bank soundness with classification techniques91 cited
  • 2009Predicting business failure using multiple case-based reasoning combined with support vector machine88 cited
  • 2012Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation79 cited
  • 2007Predicting financial activity with evolutionary fuzzy case-based reasoning78 cited
  • 2006Financial distress prediction by a radial basis function network with logit analysis learning73 cited