the pandemic period, as well as for earlier subsamples of relatively high volatility. In historical forecasting, outlier … VARs. To address these issues, we propose VAR models with outlier-augmented stochastic volatility (SV) that combine … transitory and persistent changes in volatility. The resulting density forecasts are much less sensitive to outliers in the data …