The Mean Squared Error $($MSE$)$ is widely used in forecasting because it:

$q,$

Is easy to interpret in terms of forecast bias.

Provides a direct comparison between different forecasting methods.

Is unaffected by outliers in the data.

$$ Gives more weight to larger errors, aligning with the higher costs of significant deviations.