FORECASTING FINANCIAL MARKET VOLATILITY BASED ON WEB MINING

A new method for predicting short term fluctuation of financial market is proposed in this paper, which is based on web mining technology. A Chinese web textual mining system is developed to predict the daily stock price fluctuation, which aim to manage web-based financial bulletin news or report, and to integrate web mining, Chinese information processing, and support vector machines learning technology. The experimental result shows that this method can produce good precision when applied to Chinese stock market, which can lead to further study on financial market short-term behavior.