Data Analysis and Prediction of Daily Closing Price of China Unicom based on ARIMA Model

DOI

10.2991/978-94-6463-546-1_15How to use a DOI?

Keywords

time series; ARIMA model; Forecast; Stock price

Abstract

This paper aims to analyze and forecast the daily closing price of China Unicom by using ARIMA (autoregressive integral moving average) model. With the increasingly complex and changeable financial market, the demand of investors for predicting stock price changes is increasing day by day. As one of the major telecom operators in China, the movement of China Unicom’s stock price has important reference value for investors.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yanghaoge Sun
PY  - 2024
DA  - 2024/10/27
TI  - Data Analysis and Prediction of Daily Closing Price of China Unicom based on ARIMA Model
BT  - Proceedings of the 2024 2nd International Conference on Finance, Trade and Business Management (FTBM 2024)
PB  - Atlantis Press
SP  - 137
EP  - 148
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-546-1_15
DO  - 10.2991/978-94-6463-546-1_15
ID  - Sun2024
ER  -