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Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies
16 references·1 citing·39 second hop
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy6,005 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1994Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)1,059 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2004Bankruptcy Prediction with Industry Effects810 cited
  • 2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
  • 2007DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique172 cited
  • 2020Sustainable finance in Japan146 cited
  • 2018Firm age dynamics and causes of corporate bankruptcy: age dependent explanations for business failure132 cited
  • 2020Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods89 cited
  • 2016Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction86 cited
  • 1942Financing Small Corporations in Five Manufacturing Industries, 1926-3680 cited
  • 2003The effects of macroeconomic shocks on sector-specific returns68 cited

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  • 2009Predicting financial distress of companies listed on the JSE: A comparison of techniques64 cited
  • 2021Predicting Bankruptcy with Robust Logistic Regression63 cited
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    • 2024The dilemma of accuracy in bankruptcy prediction: a new approach using explainable AI techniques to predict corporate crises19 cited