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Research on AAPL Stock Price Prediction Using ARIMA Model
- 1 Bachelor of Information, Southern Technology Cross University Military Rd, East Lismore NSW 2480, Australia
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Abstract
On February 2, 2024, Apple officially launched a new generation-changing product: Vision Pro. For a leading technology company like Apple, every technological advancement will affect changes in its stock price. Stock prediction has always been a direction that data scientists and economists pay attention to and explore. As a result, to achieve this goal, people continue to develop new models and algorithms. Among them, the ARIMA model is a typical data prediction model. This paper uses the ARIMA model to make a simple prediction of Apple's stock closing price in the past five years. The optimal model is used to make the final prediction by processing the Apple stock data in the past five years. Although the short-term forecast is very optimistic, the time series data of the stock itself contains non-linear trends or seasonal changes. For long-term predictions, the results are not accurate. Apple's technology iterations are seasonal and regular. It is not advisable to use the ARIMA model alone to make long-term predictions of its stock closing price.
Keywords
ARIMA model, prediction, AAPL, stock price
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Cite this article
Xia,Z. (2024). Research on AAPL Stock Price Prediction Using ARIMA Model. Advances in Economics, Management and Political Sciences,88,151-157.
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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 2nd International Conference on Management Research and Economic Development
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