Predicting the Removal of Special Treatment or Delisting Risk Warning for Listed Company in China with Adaboost | Zendy

Ligang Zhou | Zendy

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Predicting the Removal of Special Treatment or Delisting Risk Warning for Listed Company in China with Adaboost

Author(s) -

Ligang Zhou

Publication year - 2013

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2013.05.082

Subject(s) - adaboost , bankruptcy , computer science , listed company , china , financial distress , warning system , bankruptcy prediction , stock exchange , stock (firearms) , empirical research , artificial intelligence , actuarial science , business , finance , classifier (uml) , statistics , mathematics , financial system , mechanical engineering , telecommunications , political science , law , engineering

Most previous research focuses on the problem of financial distress prediction or bankruptcy prediction for an ordinary listed company in China. However, few research discuss the problem of predicting the removal of special treatment or delisting risk warning for the listed companies having already receiving risk warning by stock exchange. This problem is also very important for stock investors. In this study, the Adaboost method is employed to construct the model for the prediction of the removal of special treatment or delisting risk for the listed company in China. The empirical results show that Adaboost method is a better alternative when compared to other popular classification techniques and the problem of prediction of the removal of special treatment or delisting risk warning is more challenge than the problem of financial distress prediction

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