Because simple exponential smoothing models require a starting point for the first period forecast that will be arbitrary, it is important to have as much data as possible to dampen out the effect of the starting point.

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Simple exponential smoothing models rely heavily on the initial forecast value, which can be somewhat arbitrary. Having a larger dataset helps mitigate the impact of this initial choice, as the model can adjust more accurately over time with more data points.

Because Simple Exponential Smoothing Models Require a Starting Point for the First