Requires a lot of time series observations

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The major disadvantages of using ARIMA to derive a forecast include

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

Reference no: EM13898561

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