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Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction
13 references·16 citing·32 second hop
Comparative Analysis of Artificial Neural Network Models: Application in Bankruptcy Prediction (2000)Comparative Analysis of Artificial Neural…Neural network prediction analysis: The bankruptcy case (1996)Neural network prediction ana…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Corporate distress diagnosis:…Bankruptcy prediction using neural networks (1994)Bankruptcy prediction using n…A Neural Network Method for Obtaining an Early Warning of Insurer Insolvency (1994)A Neural Network Method for O…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…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…PREDICTING BANK FAILURES: A NEURAL NETWORK APPROACH (1990)PREDICTING BANK FAILURES: A N…A neural network model for bankruptcy prediction (1990)A neural network model for ba…CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION (1987)CURRENT TECHNIQUES IN BANKRUP…The probability of bankruptcy (1981)The probability of bankruptcyFinancial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Artificial intelligence in predicting the bankruptcy of non-financial corporations (2022)Artificial intelligence in pr…Forecasting corporate failure using ensemble of self-organizing neural networks (2020)Forecasting corporate failure…Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach (2020)Determinants and Predictors o…Corporate failure prediction models in the twenty-first century: a review (2020)Corporate failure prediction …Forecasting bankruptcy using biclustering and neural network-based ensembles (2019)Forecasting bankruptcy using …Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies (2016)Re-estimation and comparisons…The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches (2015)The performance of corporate …The use of financial ratios in predicting corporate failure in Sri Lanka (2013)The use of financial ratios i…The impact of multinationality on firm value: A comparative analysis of machine learning techniques (2013)The impact of multinationalit…Comparing the Bank Failure Prediction Performance of Neural Networks and Support Vector Machines: The Turkish Case (2013)Comparing the Bank Failure Pr…Early warning models against bankruptcy risk for Central European and Latin American enterprises (2012)Early warning models against …Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model (2009)Predicting Korean lodging fir…A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction (2009)A hybrid approach based on th…An integrative model with subject weight based on neural network learning for bankruptcy prediction (2007)An integrative model with sub…Predicting Restaurant Bankruptcy: A Logit Model in Comparison with a Discriminant Model (2006)Predicting Restaurant Bankrup…A Logistic Regression Analysis For Predicting Bankruptcy In The Hospitality Industry (2006)A Logistic Regression Analysi…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)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)Financial Ratios As Predictors of Failure (1966)Positive Accounting Theory (1985)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Conditional logit analysis of qualitative choice behavior (1972)The Effect of Audit Quality on Earnings Management* (1998)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)The effects of government ownership on bank lending (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)DEVELOPMENT OF A CLASS OF STABLE PREDICTIVE VARIABLES: THE CASE OF BANKRUPTCY PREDICTION (1990)A Reexamination of Auditor versus Model Accuracy within the Context of the Going‐Concern Opinion Decision* (1994)Tests of the generalizability of Altman's bankruptcy prediction 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)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)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)
this work references cited by second hop

References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 1990A neural network model for bankruptcy prediction853 cited
  • 1994Bankruptcy prediction using neural networks722 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 1987CURRENT TECHNIQUES IN BANKRUPTCY PREDICTION350 cited
  • 1981The probability of bankruptcy334 cited
  • 1994A Neural Network Method for Obtaining an Early Warning of Insurer Insolvency164 cited
  • 1990PREDICTING BANK FAILURES: A NEURAL NETWORK APPROACH149 cited
  • 1996Neural network prediction analysis: The bankruptcy case149 cited

Cited by

  • 2009A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction116 cited

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  • 2012Early warning models against bankruptcy risk for Central European and Latin American enterprises115 cited
  • 2006Predicting Restaurant Bankruptcy: A Logit Model in Comparison with a Discriminant Model105 cited
  • 2009Predicting Korean lodging firm failures: An artificial neural network model along with a logistic regression model86 cited
  • 2015The performance of corporate financial distress prediction models with features selection guided by domain knowledge and data mining approaches84 cited
  • 2013The impact of multinationality on firm value: A comparative analysis of machine learning techniques82 cited
  • 2006A Logistic Regression Analysis For Predicting Bankruptcy In The Hospitality Industry79 cited
  • 2007An integrative model with subject weight based on neural network learning for bankruptcy prediction74 cited
  • 2020Corporate failure prediction models in the twenty-first century: a review68 cited
  • 2020Determinants and Predictors of SMEs’ Financial Failure: A Logistic Regression Approach58 cited
  • 2020Forecasting corporate failure using ensemble of self-organizing neural networks45 cited
  • 2016Re-estimation and comparisons of alternative accounting based bankruptcy prediction models for Indian companies42 cited
  • 2019Forecasting bankruptcy using biclustering and neural network-based ensembles42 cited
  • 2013Comparing the Bank Failure Prediction Performance of Neural Networks and Support Vector Machines: The Turkish Case41 cited
  • 2022Artificial intelligence in predicting the bankruptcy of non-financial corporations40 cited
  • 2013The use of financial ratios in predicting corporate failure in Sri Lanka40 cited