Prediction Loss

The ultimate goal of ARIMA models is forecasting and, in particular, point forecasting. Assume that we’ve got a time series $y_t$ with a total of $T$ observations. With point forecasting, we aim to get the best possible guess for the value of $y_t$, $h$ steps into the future. That is, we want to predict $y_{T+h}$.