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Study of effectiveness of the ARIMA method in forecasting stock process in China
- 1 Shanghai University of Finance and Economics
- 2 The Chinese University of Hong Kong
- 3 Beijing New Oriental Yangzhou Foreign Language School
* Author to whom correspondence should be addressed.
Abstract
The stock market is volatile, and the prices of stocks are often influenced by various factors that enhance the complexity of stock prediction. According to the literature review, The ARIMA (autoregression average integrated moving average) model is one of the most-used methods for financial prediction, the effectiveness of which has been tested in many countries, which also leads to a need for accurate examination of the model for China’s A-share market. In the paper, Due to its suitability for short-term forecasting, the ARIMA model is utilized to forecast the prices of three representative A-share stocks over 24 days. Finally, the efficiency of the short-term prediction and the low accuracy of the long-term prediction of the ARIMA model are primarily confirmed, which is worthy of further study.
Keywords
ARIMA, A-share market, Stock price prediction, Accuracy Examination
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Cite this article
Liang,K.;Wu,H.;Zhao,Y. (2024). Study of effectiveness of the ARIMA method in forecasting stock process in China. Theoretical and Natural Science,43,33-44.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Computing Innovation and Applied Physics
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