How is ARIMA model used in forecasting?

Autoregressive integrated moving average (ARIMA) models predict future values based on past values . ARIMA makes use of lagged moving averages to smooth time series data. They are widely used in technical analysis to forecast future security prices.

ARIMA is a form of regression analysis that indicates the strength of a dependent variable relative to other changing variables. The final objective of the model is to predict future time series movement by examining the differences between values in the series instead of through actual values .

ARIMA (Autoregressive Integrated Moving Average): ARIMA is arguably the most popular and widely used statistical technique for forecasting .