Stock Predictions Based on Time Series Models - The Case of Pepsi Research Background
A statistical model widely used in time series analysis and prediction is Auto Regressive Integrated Moving Average (ARIMA) model. Through the closing price data of Pepsi’s stock during the period from January 1, 2024, to January 1, 2025, this model can be applied to conduct a time order analysis to...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_02009.pdf |
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