Open Access
| Issue |
SHS Web Conf.
Volume 225, 2025
2025 3rd International Conference on Financial Management and the Digital Economy (ICFMDE 2025)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 5 | |
| Section | Finance, Risk & Global Markets | |
| DOI | https://doi.org/10.1051/shsconf/202522502009 | |
| Published online | 13 November 2025 | |
- R. Sharma, S. Hariharan, Stock price prediction using ARIMA: A study on AAPL, MSFT, NFLX and GOOGL stocks. Proc. Int. Conf. Comput. Intell. Comput. Appl., 47–50 (2024) [Google Scholar]
- D. Alaminos, M. Salas, Partal-Ureña B., A. Hybrid ARMA-GARCH-Neural Networks for intraday strategy exploration in high-frequency trading. Pattern Recognit. 148, 110139 (2024). https://doi.org/10.1016/j.patcog.2023.110139 [Google Scholar]
- G. E. P. Box, G. M. Jenkins, G. C. Reinsel, Ljung, G. M. Time Series Analysis: Forecasting and Control, 5th ed.; Wiley: Hoboken, 2015. [Google Scholar]
- Y. Gao, An empirical study on LeTV stock-price prediction based on an ARMA model. Mod. Econ. Inf. 7, 352–353 (2015) [Google Scholar]
- H. Xie, Y. Shang, Stock-price prediction using the ARMA model: Evidence from China CITIC Bank. Econ. Manag. Sci. 12, 122–124 (2020) [Google Scholar]
- Z. Peng, ARMA-GARCH-based analysis of Shanghai Composite Index returns. J. Grad. Sch. Zhongnan Univ. Econ. Law 4, 48–55 (2017) [Google Scholar]
- H. V. Pham, L. H. Phu, T. H. V. Nguyen et al., A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach. Sci. Prog. 107, 1–23 (2024). https://doi.org/10.1177/00368504241234567 [Google Scholar]
- C. L. Li, H. Zhang, Y. A Wang, hybrid ARIMA–LSTM approach for stock price forecasting. J. Financ. Data Sci. 5, 45–59 (2023). https://doi.org/10.3905/jfds.2023.1.045 [Google Scholar]
- W. Bessler, P. Lückoff, Macroeconomic variables and German stock returns: A VAR approach. Appl. Econ. 48, 599–612 (2016) [Google Scholar]
- Y. Chen, Application of an ARMA model considering liquidity risk in stock returns. Henan Sci. 32, 655–659 (2014) [Google Scholar]
- Z. X. Ma, Application of the ARMA model in short-term stock prediction. Guangxi Qual. Superv. Bull. 5, 152–153 (2020) [Google Scholar]
- R. Yan, Machine learning in stock price forecasting: A systematic review. Financ. Innov. 10, 52–68 (2024). https://doi.org/10.1186/s40854-024-00452-9 [Google Scholar]
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