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Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP
16 references·16 citing·36 second hopsampled
Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP (2010)Financial distress prediction in banks us…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks (2008)Differential evolution traine…Soft computing system for bank performance prediction (2007)Soft computing system for ban…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case (2004)Prediction of commercial bank…An application of support vector machines in bankruptcy prediction model (2004)An application of support vec…A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction (2002)A case-based reasoning with t…Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Bankruptcy prediction for cre…Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction (1997)Hybrid Classifiers for Financ…Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis (1997)Bankruptcy prediction using c…Hybrid neural network models for bankruptcy predictions (1996)Hybrid neural network models …Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Neural network models and the prediction of bank bankruptcy (1991)Neural network models and the…Multivariate Normality and Forecasting of Business Bankruptcy (1987)Multivariate Normality and Fo…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Bank failure prediction models: Review and outlook (2024)Bank failure prediction model…Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine (2022)Business Failure Prediction B…A robust TOPSIS method for decision making problems with hierarchical and non-monotonic criteria (2022)A robust TOPSIS method for de…Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research (2021)Predicting Bank Failures: A S…A Robust Deep Learning Model for Financial Distress Prediction (2020)A Robust Deep Learning Model …A Multi-Layer Perceptron Approach to Financial Distress Prediction with Genetic Algorithm (2020)A Multi-Layer Perceptron Appr…Dynamic Bankruptcy Prediction Models for European Enterprises (2019)Dynamic Bankruptcy Prediction…Predicting corporate financial distress using data mining techniques (2016)Predicting corporate financia…Cash demand forecasting in ATMs by clustering and neural networks (2013)Cash demand forecasting in AT…Assessing methodologies for intelligent bankruptcy prediction (2012)Assessing methodologies for i…A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy (2012)A hybrid device for the solut…The random subspace binary logit (RSBL) model for bankruptcy prediction (2011)The random subspace binary lo…SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams (2011)SFFS-PC-NN optimized by genet…An agent-based simulation model of enterprises financial distress for the enterprise of different life cycle stage (2011)An agent-based simulation mod…A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy (2011)A Hybrid Device of Self Organ…Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction (2010)Empirical research of hybridi…Limited-dependent and qualitative variables in econometrics (1983)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)Early warning of bank failure (1977)Artificial neural network models for forecasting and decision making (1994)Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)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)Axiomatic Foundation of the Analytic Hierarchy Process (1986)How to make a decision: The analytic hierarchy process (1990)Multicriteria evaluation of power plants impact on the living standard using the analytic hierarchy process (2008)A novel bankruptcy prediction model based on an adaptive fuzzy k-nearest neighbor method (2011)Financial credit risk assessment: a recent review (2015)Financial Ratios As Predictors of Failure (1966)Qualitative Response Models: A Survey (1994)Portfolio selection and skewness: Evidence from international stock markets (1997)The value of non-financial information in SME risk management (2010)Positive Accounting Theory (1985)Forecasting with artificial neural networks: (1998)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)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)A Discriminant Analysis of Predictors of Business Failure (1972)The Determinants of Banking Crises in Developing and Developed Countries (1998)A survey on bank branch efficiency and performance research with data envelopment analysis (2012)Consumer credit-risk models via machine-learning algorithms (2010)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)
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References

  • 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
  • 2004An application of support vector machines in bankruptcy prediction model809 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1987Multivariate Normality and Forecasting of Business Bankruptcy354 cited
  • 1991Neural network models and the prediction of bank bankruptcy301 cited
  • 2004Prediction of commercial bank failure via multivariate statistical analysis of financial structures: The Turkish case298 cited
  • 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction277 cited
  • 1997Bankruptcy prediction using case-based reasoning, neural networks, and discriminant analysis273 cited
  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2008Differential evolution trained wavelet neural networks: Application to bankruptcy prediction in banks

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179 cited
  • 2007Soft computing system for bank performance prediction173 cited
  • 1997Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction152 cited
  • Cited by

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    • 2012A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy64 cited
    • 2012Assessing methodologies for intelligent bankruptcy prediction53 cited
    • 2019Dynamic Bankruptcy Prediction Models for European Enterprises50 cited
    • 2022Business Failure Prediction Based on a Cost-Sensitive Extreme Gradient Boosting Machine47 cited
    • 2011SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams41 cited
    • 2016Predicting corporate financial distress using data mining techniques40 cited
    • 2010Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure prediction38 cited
    • 2011An agent-based simulation model of enterprises financial distress for the enterprise of different life cycle stage36 cited
    • 2020A Robust Deep Learning Model for Financial Distress Prediction35 cited
    • 2011A Hybrid Device of Self Organizing Maps (SOM) and Multivariate Adaptive Regression Splines (MARS) for the Forecasting of Firms’ Bankruptcy33 cited
    • 2020A Multi-Layer Perceptron Approach to Financial Distress Prediction with Genetic Algorithm30 cited
    • 2021Predicting Bank Failures: A Synthesis of Literature and Directions for Future Research28 cited
    • 2024Bank failure prediction models: Review and outlook27 cited