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Applicability of Scoring Models in Firms' Default Prediction. The Case of Slovakia
16 references·6 citing·32 second hop
Applicability of Scoring Models in Firms' Default Prediction. 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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
  • 1990A neural network model for bankruptcy prediction853 cited
  • 2013Genetic algorithm-based heuristic for feature selection in credit risk assessment430 cited
  • 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
  • 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study399 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction377 cited
  • 2011Comparative analysis of data mining methods for bankruptcy prediction323 cited
  • 1996Neural networks and genetic algorithms for bankruptcy predictions198 cited
  • 2016A two-stage classification technique for bankruptcy prediction142 cited
  • 2014A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy141 cited
  • 2010Predicting business failure using classification and regression tree: An empirical comparison with popular classical statistical methods and top classification mining methods

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141 cited
  • 2012A literature review on the application of evolutionary computing to credit scoring109 cited
  • 2013Bankruptcy prediction for Russian companies: Application of combined classifiers90 cited
  • Cited by

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    • 2021Altman Model Verification Using a Multi-Criteria Approach for Slovakian Agricultural Enterprises14 cited
    • 2025Artificial Intelligence Models for Bankruptcy Prediction in Agriculture: Comparing the Performance of Artificial Neural Networks and Decision Trees12 cited
    • 2025Surviving the Pandemic: Financial Distress Prediction for Slovak SME Manufacturers10 cited