The ARIMA models have proved to be excellent short-term forecasting models for a wide variety of time series.
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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.
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ARIMA (Autoregressive Integrated Moving Average): ARIMA is arguably the most popular and widely used statistical technique for forecasting .
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