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A genetic-based hybrid approach to corporate failure prediction
16 references·0 citing·31 second hop
A genetic-based hybrid approach to corporate failure prediction (2008)A genetic-based hybrid approach to corpor…The prediction of bankruptcy of small- and medium-sized industrial firms (2004)The prediction of bankruptcy …Tests of the generalizability of Altman's bankruptcy prediction model (2001)Tests of the generalizability…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…Bankruptcy prediction (2000)Bankruptcy predictionBusiness failure prediction using rough sets (1999)Business failure prediction u…Neural networks and genetic algorithms for bankruptcy predictions (1996)Neural networks and genetic a…Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction (1996)Integration of case-based for…Hybrid neural network models for bankruptcy predictions (1996)Hybrid neural network models …Effectiveness of neural network types for prediction of business failure (1995)Effectiveness of neural netwo…A Five-State Financial Distress Prediction Model (1987)A Five-State Financial Distre…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…Forecasting Financial Failure: A Re-Examination (1977)Forecasting Financial Failure…Failing Company Discriminant Analysis (1974)Failing Company Discriminant …A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The Limitations of Bankruptcy Prediction Models: Some Cautions for the Researcher (2001)Estimating financial distress likelihood (2008)Using neural networks and data mining techniques for the financial distress prediction model (2008)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Systematic review of bankruptcy prediction models: Towards a framework for tool selection (2017)Artificial intelligence for decision support systems in the field of operations research: review and future scope of research (2021)Conditional logit analysis of qualitative choice behavior (1972)Earnings Management Response to Debt Covenant Violations and Debt Restructuring (2002)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Determinants and consequences of financial distress: review of the empirical literature (2018)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bayesian neural network learning for repeat purchase modelling in direct marketing (2002)Genetic programming and rough sets: A hybrid approach to bankruptcy classification (2002)Predicting restaurant financial distress using decision tree and AdaBoosted decision tree models (2013)ASSESSING THE VULNERABILITY TO FAILURE OF AMERICAN INDUSTRIAL FIRMS: A LOGISTIC ANALYSIS (1985)Research Methods in Accounting (2003)Modelling Credit Risk for SMEs: Evidence from the U.S. Market (2007)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)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 1974Failing Company Discriminant Analysis617 cited
  • 1999Business failure prediction using rough sets493 cited
  • 2001Tests of the generalizability of Altman's bankruptcy prediction model360 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 1987A Five-State Financial Distress Prediction Model296 cited
  • 1996Hybrid neural network models for bankruptcy predictions257 cited
  • 2004The prediction of bankruptcy of small- and medium-sized industrial firms229 cited
  • 1995Effectiveness of neural network types for prediction of business failure202 cited
  • 1996Neural networks and genetic algorithms for bankruptcy predictions198 cited
  • 1977Forecasting Financial Failure: A Re-Examination173 cited
  • 2000Bankruptcy prediction165 cited

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  • 1996Integration of case-based forecasting, neural network, and discriminant analysis for bankruptcy prediction149 cited
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