Predicting listing status of listed companies in China using adaboost approach

It is very important for the investors to correctly predict the listing status of listed companies (LSLC) in China. This paper is the first to format the problem of predicting LSLC as a multiclass classification problem, while almost all preliminary research considered it as a binary classification problem. Adaboost method is introduced to solve the problem and the experiment result shows that it outperformed neural network and linear discriminant analysis in classification accuracy.