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In this paper, a financial time series forecasting model based on wavelet frame and support vector regression is proposed. In the proposed model, wavelet frame is first used to decompose the predicting variables into sub-series with different scales. The hidden information of the predicting variables could be discovered in these sub-series. The SVR then uses the sub-series to build the forecasting...
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