Abstract
In order to improve the effective and accurate prediction of financial time series, an intelligent hybrid prediction model of financial time series is established on the basis of big data analysis. Firstly, the big data analysis and prediction model of financial time series is established, and then the parameters of the model are optimized by using the big data analysis method, the residual of the prediction model is analyzed, and the prediction results are compensated. Finally, the simulation experiment is carried out, and the experimental results show that the financial time series prediction model based on big data analysis has high effectiveness and fully meets the research requirements.
Published Version
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