Financial Series Prediction: Comparison Between Precision of Time Series Models and Machine Learning Methods

3 Jun 2017Xin-Yao Qian

Precise financial series predicting has long been a difficult problem because of unstableness and many noises within the series. Although Traditional time series models like ARIMA and GARCH have been researched and proved to be effective in predicting, their performances are still far from satisfying... (read more)

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