Using various univariate models, ARIMA, ARIMA + GARCH, and Exponential smoothing, I fit the models to a historical dataset of opening prices spanning from 1990 to 2022 (training set), and the forecast was made for the year 2023 (test), a year ahead.
-
Notifications
You must be signed in to change notification settings - Fork 0
7kram/Forecasting-Apple-Stock-Price
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Using various univariate models to forecast Apple's monthly opening stock prices
Resources
Stars
Watchers
Forks
Releases
No releases published