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Predicting distresses using deep learning of text segments in annual reports
15 references·16 citing·33 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
  • 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
  • 2001Forecasting Bankruptcy More Accurately: A Simple Hazard Model2,655 cited
  • 2008In Search of Distress Risk2,232 cited
  • 2004Bankruptcy Prediction with Industry Effects810 cited
  • 2001Bankruptcy prediction for credit risk using neural networks: A survey and new results696 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2005Have Financial Statements Become Less Informative? Evidence from the Ability of Financial Ratios to Predict Bankruptcy491 cited
  • 2016Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction419 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2018Bankruptcy prediction using imaged financial ratios and convolutional neural networks322 cited
  • 2018Are Financial Constraints Priced? Evidence from Textual Analysis216 cited
  • 2016Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks

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189 cited
  • 2016Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble173 cited
  • Cited by

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    • 2024Artificial Intelligence Techniques for Bankruptcy Prediction of Tunisian Companies: An Application of Machine Learning and Deep Learning-Based Models53 cited
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    • 2025Deep learning for enhanced risk management: a novel approach to analyzing financial reports43 cited
    • 2021Data Science for Economics and Finance42 cited
    • 2023Eagle Strategy Arithmetic Optimisation Algorithm with Optimal Deep Convolutional Forest Based FinTech Application for Hyper-automation41 cited
    • 2022Does Fintech facilitate cross-border M&As? Evidence from Chinese A-share listed firms40 cited
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