ARMA and ARIMA Model Using EVIEWS | Real-Life Example (Box Jenkins Method)
In this video, we dive deep into the ARMA (AutoRegressive Moving Average) and ARIMA (AutoRegressive Integrated Moving Average) models using EViews, a powerful tool for time series analysis. We’ll guide you through a step-by-step application of the Box-Jenkins Method, which includes model identification, estimation, diagnostic checking, and forecasting.
🔍 What You’ll Learn:
Basics of ARMA and ARIMA models.
How to use EViews to fit ARMA and ARIMA models.
A real-life example: Predicting a time series (e.g., stock prices, economic indicators).
How to identify the right model using ACF/PACF plots.
Model diagnostics and ensuring a good fit.
Forecasting future values using ARIMA in EViews.
Whether you’re a student, researcher, or professional, this video will help you understand the practical application of ARIMA models in EViews. Don’t forget to like, subscribe, and comment if you find this tutorial helpful!