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Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk
16 references·0 citing·43 second hop
Using Cutting-Edge Tree-Based Stochastic Models to Predict Credit Risk (2018)Using Cutting-Edge Tree-Based Stochastic …Prediction of financial distress: An empirical study of listed Chinese companies using data mining (2014)Prediction of financial distr…Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model (2014)Distressed Firm and Bankruptc…Bankruptcy prediction using Extreme Learning Machine and financial expertise (2013)Bankruptcy prediction using E…A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis (2012)A multi-industry bankruptcy p…Predicting corporate financial distress based on integration of decision tree classification and logistic regression (2011)Predicting corporate financia…Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms (2011)Financial Statement Fraud Det…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financia…Data mining method for listed companies’ financial distress prediction (2006)Data mining method for listed…Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Bankruptcy prediction in bank…Bankruptcy prediction (2000)Bankruptcy predictionDetecting GAAP violation: implications for assessing earnings management among firms with extreme financial performance (1997)Detecting GAAP violation: imp…An Examination of the Stationarity of Multivariate Bankruptcy Prediction Models: A Methodological Study (1984)An Examination of the Station…Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Financial Ratios and the Prob…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…Causes and Consequences of Earnings Manipulation: An Analysis of Firms Subject to Enforcement Actions by the SEC* (1996)An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud (1997)An application of support vector machines in bankruptcy prediction model (2004)Mining corporate annual reports for intelligent detection of financial statement fraud – A comparative study of machine learning methods (2017)Deep learning for detecting financial statement fraud (2020)Using machine learning to detect misstatements (2020)Limited-dependent and qualitative variables in econometrics (1983)Earnings Management During Import Relief Investigations (1991)Detecting Earnings Management. 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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
  • 1966Financial Ratios As Predictors of Failure4,753 cited
  • 2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
  • 1997Detecting GAAP violation: implications for assessing earnings management among firms with extreme financial performance701 cited
  • 2014Prediction of financial distress: An empirical study of listed Chinese companies using data mining479 cited
  • 2011Financial Statement Fraud Detection: An Analysis of Statistical and Machine Learning Algorithms393 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2011Predicting corporate financial distress based on integration of decision tree classification and logistic regression248 cited
  • 1984An Examination of the Stationarity of Multivariate Bankruptcy Prediction Models: A Methodological Study248 cited
  • 2006Predicting corporate financial distress based on integration of support vector machine and logistic regression229 cited
  • 2014Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model188 cited
  • 2012A multi-industry bankruptcy prediction model using back-propagation neural network and multivariate discriminant analysis

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176 cited
  • 2006Data mining method for listed companies’ financial distress prediction166 cited
  • 2000Bankruptcy prediction165 cited
  • 2013Bankruptcy prediction using Extreme Learning Machine and financial expertise146 cited
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