Stock forecasting using Support Vector Machine

This paper compares the performance in financial market prediction of a Neural Network approach and an approach using the regression feature of SVM. The historical values used are those of the Hang Sang Index (HSI) from 2002 to 2007 and data for January 2007 and January 2008. SVM performs well in the short term forecast.

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