Predicting Apple stock prices based on ARIMA

Authors

  • Yuanshen Su

DOI:

https://doi.org/10.54691/bcpbm.v44i.4953

Keywords:

Autoregressive moving average model; time series; Apple stock; coronavirus pandemic.

Abstract

The volatility of the global financial market under the influence of the epidemic is a hot issue of concern to the whole society. Most tech company stocks have been affected to varying degrees, including Apple. However, Apple's future stock price trend under the influence of the epidemic has not yet been studied. Whether Apple stock is still worth buying has become a concern for many. Therefore, this article collects data on Apple's stock price from the time it went public until 2022. After cleaning and analyzing the data, an ARIMA model is established to analyze and predict Apple's stock. This paper will explore the relationship between the global financial market downturn and Apple's stock price volatility under the impact of the epidemic based on model results and data. According to the model's prediction of Apple's stock price, Apple's stock price will continue to increase in the next six months after June 2022. This article obtains the forecast data, and then combines the analysis of the impact events that have significantly fluctuated the price of Apple's stock in the past. It was found that although Apple's stock price will be affected by the big environment, its strong and unique product power will help it maintain a long-term increase in stock prices. Apple stock still has a high purchase value.

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References

Yu Xuan. Steve Jobs and his "apple" kingdom. Monthly Journal of Accounting, 2001.

Liu Wu. The impact of mobile phone and mobile Internet technology. Electronic World, 2014.

Laugesen J, Yuan Y. What Factors Contributed to the Success of Apple's iPhone?. Ninth International Conference on Mobile Business. IEEE Computer Society, 2010.

Wu Guoqiang, Zhang Renyu. Anatomy of the U.S. Internet Bubble Economy. Commodities and Quality: A Theoretical Study, 2011.

Yusheng Wu. Understanding the iPod: Paul Levinson's "Toys, Mirrors, Art" perspective. Communication Research and Practice, 2015, 5 (1): 101 - 127.

Dai Bin. The U.S. subprime mortgage crisis and its impact. Doctoral dissertation, Northeast Normal University, 2009.

Zhang Liming. Steve Jobs dies, Apple loses its nuclear bone. Composition Materials, 2011, (23): 11 - 11.

Zhu Zhenkun. Why did Buffett fancy Apple?. Securities Market Weekly, 2020, 74 - 75.

Wu Jie, Xu Zhonghao, Zhai Xintong. Research on stock market volatility model under the new crown epidemic based on complex network. Journal of Applied Probability and Statistics, 2022, 38 (4): 14.

Han Shaofei. The Impact of Investor Sentiment on Stock Market Returns in the Context of the Novel Coronavirus Pandemic. Master's Thesis, Shandong Technology and Business School, 2022.

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Published

2023-04-27

How to Cite

Su, Y. (2023). Predicting Apple stock prices based on ARIMA. BCP Business & Management, 44, 772-778. https://doi.org/10.54691/bcpbm.v44i.4953