Before revision:  We try to predict the upward or downward direction of stock market index and stock price . In the proposed framework, PCA, as a feature selection method, identifies principal components in the stock market movement and SVM, as a classifier for future stock market movement, processes them along with other economic factors in training and forecasting. We present the results of an extensive empirical study of the proposed method  on the Korean composite stock price index (KOSPI) and Hangseng index (HSI), as well as the individual constituents included in the indices.
After revision:  We try to predict the upward or downward direction of stock market index and stock price direction. An extensive empirical study of the proposed method on the Korean composite stock price index (KOSPI) and Hangseng index (HSI), as well as the individual constituents included in the indices.