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Attention-based fuzzy neural networks designed for early warning of financial crises of listed companies
16 references·1 citing·44 second hop
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 2011When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks6,003 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 cited
  • 2018Manager sentiment and stock returns733 cited
  • 2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
  • 2020Adaptive stock trading strategies with deep reinforcement learning methods263 cited
  • 2022Corporate finance risk prediction based on LightGBM231 cited
  • 2020Role of Analytics for Operational Risk Management in the Era of Big Data192 cited
  • 2020Remaining Financially Healthy and Competitive: The Role of Financial Predictors192 cited
  • 2016Predicting Corporate Bankruptcy: An Evaluation of Alternative Statistical Frameworks189 cited
  • 2020The determinants of integrated reporting quality in financial institutions161 cited
  • 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods144 cited
  • 2019Do Traditional Financial Distress Prediction Models Predict the Early Warning Signs of Financial Distress?

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141 cited
  • 2003Indicators of Successful Companies133 cited
  • 2018Corporate distress prediction in China: a machine learning approach82 cited
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    • 2025Does managerial climate risk perception improve environmental, social and governance (ESG) performance? Evidence from China29 cited