Abstract
Stock trading volume is a performance of supply and demand, which refers to the number of transactions in a time unit. The trading volume is an important basis for judging the stock trend, and provides an important basis for analyzing the main behaviors. Therefore, this paper will extract indicators based on the data information of the "digital economy" sector index every five minutes from July 14, 2021 to December 31, 2021, so as to combine ARIMA and multiple linear regression model to obtain the "digital economy" sector index trading volume analysis and prediction model based on ARIM (p, q) model, and then through the comparative analysis of the two models, obtain the best. The example shows that the model has strong applicability and practicability for the prediction of closing price.
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.
