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Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction
7 references·16 citing·39 second hop
Hybrid Classifiers for Financial Multicriteria Decision Making: The Case of Bankruptcy Prediction (1997)Hybrid Classifiers for Financial Multicri…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data (1988)Inducing Rules for Expert Sys…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Early warning of bank failure (1977)Early warning of bank failurePREDICTION 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…Majority voting ensemble with a decision trees for business failure prediction during economic downturns (2021)Majority voting ensemble with…Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting (2020)Failure prediction of Indian …Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach (2020)Cost-sensitive business failu…Forecasting Bank Failure: Base Learners, Ensembles and Hybrid Ensembles (2016)Forecasting Bank Failure: Bas…Forecasting Financial Failure of Firms via Genetic Algorithms (2013)Forecasting Financial Failure…Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP (2010)Financial distress prediction…Failure prediction of dotcom companies using neural network–genetic programming hybrids (2010)Failure prediction of dotcom …Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Support vector machine based …Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks (2008)Threshold accepting trained p…Majority voting combination of multiple case-based reasoning for financial distress prediction (2008)Majority voting combination o…Failure prediction of dotcom companies using hybrid intelligent techniques (2008)Failure prediction of dotcom …Earnings management prediction: A pilot study of combining neural networks and decision trees (2008)Earnings management predictio…Prediction of bank failures in emerging financial markets: an ANN approach (2007)Prediction of bank failures i…An integrative model with subject weight based on neural network learning for bankruptcy prediction (2007)An integrative model with sub…The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study (2000)The use of fuzzy clustering a…Business failure prediction using the UTADIS multicriteria analysis method (1999)Business failure prediction u…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)Experiments in induction (1966)Human Problem Solving (1972)Hybrid neural network models for bankruptcy predictions (1996)Dynamics of Modeling in Data Mining: Interpretive Approach to Bankruptcy Prediction (1999)50th Anniversary Article: The Evolution of Research on Information Systems: A Fiftieth-Year Survey of the Literature in Management Science (2004)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Empirical analysis: stock market prediction via extreme learning machine (2014)Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal (2015)Dynamic ensemble classification for credit scoring using soft probability (2018)Business Research Methods (2020)Bankruptcy prediction using neural networks (1994)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Using partial least squares and support vector machines for bankruptcy prediction (2011)Financial distress prediction using the hybrid associative memory with translation (2016)The application of PROMETHEE multi-criteria decision aid in financial decision making: Case of distress prediction models evaluation (2020)Crime and Punishment: An Economic Approach (1968)A MULTIVARIATE STATISTICAL ANALYSIS OF THE CHARACTERISTICS OF PROBLEM BANKS (1975)Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Fuzzy sets (1965)Fuzzy sets (1996)The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases (2001)Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction (2017)Applications of artificial intelligence for disaster management (2020)Credit risk measurement: Developments over the last 20 years (1997)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)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)In Search of Distress Risk (2008)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
  • 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
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 1970PREDICTION OF BANK FAILURES501 cited
  • 1988Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data289 cited

Cited by

  • 2009Support vector machine based multiagent ensemble learning for credit risk evaluation140 cited
  • 2000The use of fuzzy clustering algorithm and self-organizing neural networks for identifying potentially failing banks: an experimental study127 cited
  • 2008Threshold accepting trained principal component neural network and feature subset selection: Application to bankruptcy prediction in banks114 cited
  • 1999Business failure prediction using the UTADIS multicriteria analysis method101 cited
  • 2010Financial distress prediction in banks using Group Method of Data Handling neural network, counter propagation neural network and fuzzy ARTMAP81 cited
  • 2008Failure prediction of dotcom companies using hybrid intelligent techniques78 cited

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2020
Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting
77 cited
  • 2007Prediction of bank failures in emerging financial markets: an ANN approach74 cited
  • 2007An integrative model with subject weight based on neural network learning for bankruptcy prediction74 cited
  • 2020Cost-sensitive business failure prediction when misclassification costs are uncertain: A heterogeneous ensemble selection approach71 cited
  • 2008Majority voting combination of multiple case-based reasoning for financial distress prediction70 cited
  • 2008Earnings management prediction: A pilot study of combining neural networks and decision trees65 cited
  • 2010Failure prediction of dotcom companies using neural network–genetic programming hybrids65 cited
  • 2021Majority voting ensemble with a decision trees for business failure prediction during economic downturns63 cited
  • 2016Forecasting Bank Failure: Base Learners, Ensembles and Hybrid Ensembles57 cited
  • 2013Forecasting Financial Failure of Firms via Genetic Algorithms54 cited