The major disadvantages of using ARIMA to derive a forecast include
Requires a lot of time series observations
Requires a stationary data series
The forecast is determined only by the past behavior of the variable.
All of the above.
Unlike exponential smoothing and decomposition, ARIMA has no disadvantages