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Predicting Financial Distress of Slovak Enterprises: Comparison of Selected Traditional and Learning Algorithms Methods
16 references·15 citing·32 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
  • 2006Another look at measures of forecast accuracy5,736 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 2018Deep learning models for bankruptcy prediction using textual disclosures480 cited
  • 2013Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables453 cited
  • 2006A Review of Bankruptcy Prediction Studies: 1930 to Present397 cited
  • 1981The probability of bankruptcy334 cited
  • 2017Systematic review of bankruptcy prediction models: Towards a framework for tool selection330 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • 2018Bankruptcy prediction using imaged financial ratios and convolutional neural networks322 cited

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2008
Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks
290 cited
  • 2014Variable selection and corporate bankruptcy forecasts276 cited
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    • 2020Deep Recurrent Convolutional Neural Network for Bankruptcy Prediction: A Case of the Restaurant Industry47 cited
    • 2021An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression47 cited
    • 2024Firm failure prediction for small and medium-sized enterprises and new ventures38 cited
    • 2021Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies38 cited
    • 2023Bankruptcy prediction in the post-pandemic period: A case study of Visegrad Group countries37 cited
    • 2021Solvency Risk and Corporate Performance: A Case Study on European Retailers36 cited
    • 2020Financial Distress Prediction and Feature Selection in Multiple Periods by Lassoing Unconstrained Distributed Lag Non-linear Models34 cited
    • 2023Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis32 cited
    • 2021Using Deep Learning Algorithms for CPAs’ Going Concern Prediction24 cited
    • 2025Integrative Analysis of Traditional and Cash Flow Financial Ratios: Insights from a Systematic Comparative Review23 cited
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