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Neural network prediction analysis: The bankruptcy case
9 references·16 citing·31 second hop
Neural network prediction analysis: The bankruptcy case (1996)Neural network prediction analysis: The b…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…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…A factor-analytic approach to bank condition (1985)A factor-analytic approach to…ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)ZETATM analysis A new model t…An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction (1972)An Empirical Test of Financia…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…A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment (2019)A dynamic financial distress …An Early Warning System for Predicting Systemic Banking Crises in the Eurozone: A Logit Regression Approach (2018)An Early Warning System for P…A two-stage classification technique for bankruptcy prediction (2016)A two-stage classification te…The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements (2013)The application of brute forc…Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente (2012)Variables y Modelos Para La I…Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time (2012)Forecasting financial failure…Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm (2011)Mining financial distress tre…Dynamic financial distress prediction using instance selection for the disposal of concept drift (2010)Dynamic financial distress pr…Applications of Artificial Neural Networks in Financial Economics: A Survey (2010)Applications of Artificial Ne…Insolvency Prediction Model Using Multivariate Discriminant Analysis and Aartificial Neural Network for the Ffinance Industry in New Zealand (2009)Insolvency Prediction Model U…Applying Multiple Linear Regression and Neural Network to Predict Bank Performance (2009)Applying Multiple Linear Regr…Gaussian case-based reasoning for business failure prediction with empirical data in China (2008)Gaussian case-based reasoning…A binary classification method for bankruptcy prediction (2008)A binary classification metho…Neural networks analysis in business failure prediction of Chinese importers: A between-countries approach (2005)Neural networks analysis in b…Modelling sovereign credit ratings: Neural networks versus ordered probit (2005)Modelling sovereign credit ra…Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction (2000)Comparative Analysis of Artif…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)Modern factor analysis (1960)Modern Factor Analysis (1968)Econometric Models and Economic Forecasts (1990)Financial crises and bank failures: A review of prediction methods (2009)The economy, tourism growth and corporate performance in the Taiwanese hotel industry (2009)A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)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)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)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Banking credit worthiness: Evaluating the complex relationships (2018)Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting (2019)No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure (2022)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)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)In Search of Distress Risk (2008)Statistical Models of Bond Ratings: A Methodological Inquiry (1979)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems (2005)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
  • 1977ZETATM analysis A new model to identify bankruptcy risk of corporations1,812 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1972An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction767 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1970PREDICTION OF BANK FAILURES501 cited
  • 1985A factor-analytic approach to bank condition196 cited

Cited by

  • 2016A two-stage classification technique for bankruptcy prediction142 cited
  • 2010Applications of Artificial Neural Networks in Financial Economics: A Survey138 cited
  • 2000Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction137 cited
  • 2008A binary classification method for bankruptcy prediction117 cited
  • 2005Modelling sovereign credit ratings: Neural networks versus ordered probit114 cited
  • 2008Gaussian case-based reasoning for business failure prediction with empirical data in China

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97 cited
  • 2012Forecasting financial failure using a Kohonen map: A comparative study to improve model stability over time86 cited
  • 2019A dynamic financial distress forecast model with multiple forecast results under unbalanced data environment85 cited
  • 2013The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements81 cited
  • 2010Dynamic financial distress prediction using instance selection for the disposal of concept drift76 cited
  • 2009Applying Multiple Linear Regression and Neural Network to Predict Bank Performance71 cited
  • 2011Mining financial distress trend data using penalty guided support vector machines based on hybrid of particle swarm optimization and artificial bee colony algorithm65 cited
  • 2009Insolvency Prediction Model Using Multivariate Discriminant Analysis and Aartificial Neural Network for the Ffinance Industry in New Zealand64 cited
  • 2005Neural networks analysis in business failure prediction of Chinese importers: A between-countries approach54 cited
  • 2012Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente53 cited
  • 2018An Early Warning System for Predicting Systemic Banking Crises in the Eurozone: A Logit Regression Approach50 cited