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A deep learning approach of financial distress recognition combining text
16 references·0 citing·31 second hop
A deep learning approach of financial distress recognition combining text (2023)A deep learning approach of financial dis…Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)Multi-class financial distres…Using machine learning to detect misstatements (2020)Using machine learning to det…Deep learning for detecting financial statement fraud (2020)Deep learning for detecting f…Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting (2019)Class-imbalanced dynamic fina…A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction (2019)A New Perspective of Performa…Deep learning models for bankruptcy prediction using textual disclosures (2018)Deep learning models for bank…Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Mining corporate annual repor…Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble (2016)Dynamic financial distress pr…Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…An improved boosting based on feature selection for corporate bankruptcy prediction (2013)An improved boosting based on…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…A Discriminant Analysis of Predictors of Business Failure (1972)A Discriminant Analysis of Pr…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)FINANCIAL RATIOS, DISCRIMINAN…Financial Ratios As Predictors of Failure (1966)Financial Ratios As Predictor…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? (2008)In Search of Distress Risk (2008)Who Blows the Whistle on Corporate Fraud? (2010)Predicting Material Accounting Misstatements* (2011)When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks (2011)Machine Learning for Financial Risk Management: A Survey (2020)AI integration in financial services: a systematic review of trends and regulatory challenges (2025)Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)The Quality of Accruals and Earnings: The Role of Accrual Estimation Errors (2002)Machine learning improves accounting estimates: evidence from insurance payments (2020)Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data (2022)How to Talk When a Machine Is Listening: Corporate Disclosure in the Age of AI (2023)The Quarterly Journal of Economics (2024)The robust beauty of improper linear models in decision making. (1979)A neural network model for bankruptcy prediction (1990)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Business failure prediction using rough sets (1999)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)ELECTRE: A comprehensive literature review on methodologies and applications (2015)Managerial incentives and risk-taking☆ (2005)How does financial reporting quality relate to investment efficiency? (2009)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Financial applications of machine learning: A literature review (2023)A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)Adaptive stock trading strategies with deep reinforcement learning methods (2020)Combining corporate governance indicators with stacking ensembles for financial distress prediction (2020)
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References

  • 1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY14,869 cited
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 1972A Discriminant Analysis of Predictors of Business Failure1,168 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
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2019Class-imbalanced dynamic financial distress prediction based on Adaboost-SVM ensemble combined with SMOTE and time weighting363 cited
  • 2017Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods337 cited
  • 2020Using machine learning to detect misstatements303 cited
  • 2020Deep learning for detecting financial statement fraud291 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • 2013An improved boosting based on feature selection for corporate bankruptcy prediction188 cited
  • 2016Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble

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173 cited
  • 2019A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction169 cited
  • 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods144 cited
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