Application of ARIMA Model in Financial Time Series in Stocks

In order to study the development of stock exchange between China and the United States during the Sino-U.S. trade war, the stock trends of the two countries were compared and analyzed, combined with the time series prediction, and displayed with the visual result chart. Judging the data’s stability...

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Bibliographic Details
Main Authors: Jiajia Cheng, Huiyun Deng, Guang Sun, Peng Guo, Jianjun Zhang
Format: Article
Language:English
Published: Springer, Cham 2020
Subjects:
Online Access:https://eprints.ums.edu.my/id/eprint/26269/1/Application%20of%20ARIMA%20Model%20in%20Financial%20Time%20Series%20in%20Stocks.pdf
https://eprints.ums.edu.my/id/eprint/26269/
https://doi.org/10.1007/978-3-030-57884-8_21
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