E3S Web Conf.
Volume 292, 20212021 2nd International Conference on New Energy Technology and Industrial Development (NETID 2021)
|Number of page(s)||4|
|Section||New Energy Economy and Energy Blockchain Application|
|Published online||09 September 2021|
Research on Stock Price Forecast Based on ARIMA-GARCH Model
Institute of Economics, Shanghai University, Shanghai, China
* Jie Gao: firstname.lastname@example.org
The stock plays a vital role in economic life, and the economic development of enterprises can be measured by the development and change of stocks. In this paper, the closing price of Ping An stock in China from 2017 to 2019 is selected as the time series empirical analysis data, and the ARIMA-GARCH model is established to predict the law and trend of the stock price change. The results show that the compound model can fit the fluctuation law well, and reasonably predict the short-term fluctuation trend.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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