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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
