ARIMA + GARCH: A Hybrid Model to Forecast Highly Volatile Data - Rakesh M K on Medium

Since it is a challenging task to forecast highly anomalous and volatile data like crude price, this page says how to use a hybrid model for the same.


The model is somewhat able to catch the volatility. But the point to keep in mind is that crude price is affected by many other factors mainly geopolitics. So, it is very difficult to get an accurate prediction of highly volatile and anomalous time series. But hybrid forecasting models may work better than other models since we are considering forecasting the volatility also.

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