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PREDICTING FINANCIAL DISTRESS OF CHINESE LISTED COMPANIES USING ROUGH SET THEORY AND SUPPORT VECTOR MACHINE
15 references·2 citing·33 second hop
PREDICTING FINANCIAL DISTRESS OF CHINESE LISTED COMPANIES USING ROUGH SET THEORY AND SUPPORT VECTOR MACHINE (2011)PREDICTING FINANCIAL DISTRESS OF CHINESE …A hybrid approach of DEA, rough set and support vector machines for business failure prediction (2009)A hybrid approach of DEA, rou…Using neural networks and data mining techniques for the financial distress prediction model (2008)Using neural networks and dat…Forecasting financial condition of Chinese listed companies based on support vector machine (2007)Forecasting financial conditi…Predicting corporate financial distress based on integration of support vector machine and logistic regression (2006)Predicting corporate financia…Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank (2005)Using DEA-neural network appr…Bayesian kernel based classification for financial distress detection (2005)Bayesian kernel based classif…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…A genetic algorithm application in bankruptcy prediction modeling (2002)A genetic algorithm applicati…A data mining approach to the prediction of corporate failure (2001)A data mining approach to the…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…A survey of business failures with an emphasis on prediction methods and industrial applications (1996)A survey of business failures…A neural network for classifying the financial health of a firm (1995)A neural network for classify…Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)Methodological Issues Related…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…Analysis of the Risk of Bankruptcy of Tomato Processing Companies Operating in the Inter-Regional Interprofessional Organization “OI Pomodoro da Industria Nord Italia” (2018)Analysis of the Risk of Bankr…PENYEBAB, DAMPAK, DAN PBEDIKSI DARI FINANCIAL DISTRESS SERTA SOLUSI UNTUK MENGATASI FINANCIAL DISTRESS (2010)PENYEBAB, DAMPAK, DAN PBEDIKS…Financial Ratios As Predictors of Failure (1966)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Decision-making for financial trading: A fusion approach of machine learning and portfolio selection (2018)A New Perspective of Performance Comparison among Machine Learning Algorithms for Financial Distress Prediction (2019)Limited-dependent and qualitative variables in econometrics (1983)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)Do Managers Withhold Bad News? 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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
  • 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models2,889 cited
  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 1996A survey of business failures with an emphasis on prediction methods and industrial applications591 cited
  • 2002A genetic algorithm application in bankruptcy prediction modeling386 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited
  • 2005Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank313 cited
  • 2008Using neural networks and data mining techniques for the financial distress prediction model283 cited
  • 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
  • 2006Predicting corporate financial distress based on integration of support vector machine and logistic regression229 cited
  • 1995A neural network for classifying the financial health of a firm191 cited
  • 2005Bayesian kernel based classification for financial distress detection177 cited
  • 2009

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A hybrid approach of DEA, rough set and support vector machines for business failure prediction
167 cited
  • 2001A data mining approach to the prediction of corporate failure143 cited
  • Cited by

    • 2010PENYEBAB, DAMPAK, DAN PBEDIKSI DARI FINANCIAL DISTRESS SERTA SOLUSI UNTUK MENGATASI FINANCIAL DISTRESS23 cited
    • 2018Analysis of the Risk of Bankruptcy of Tomato Processing Companies Operating in the Inter-Regional Interprofessional Organization “OI Pomodoro da Industria Nord Italia”19 cited