Combining forecast densities from VARs with uncertain instabilities
- Anne Sofie Jore, James Mitchell and Shaun P. Vahey
- Working Paper
Clark and McCracken (2008) argue that combining real-time point forecasts from VARs of output, prices and interest rates improves point forecast accuracy in the presence of uncertain model instabilities. In this paper, we generalize their approach to consider forecast density combinations and evaluations. Whereas Clark and McCracken (2008) show that the point forecast errors from particular equal-weight pairwise averages are typically comparable or better than benchmark univariate time series models, we show that neither approach produces accurate real-time forecast densities for recent US data. If greater weight is given to models that allow for the shifts in volatilities associated with the Great Moderation, predictive density
accuracy improves substantially.
Norges Bank’s working papers present research projects and reports that are generally not in their final form. Other analyses by Norges Bank’s economists are also included in the series. The views and conclusions in these documents are those of the authors.
Norges Bank’s Working Papers can also be found in Norges Bank's publication archive, RepEc and BIS Central Bank Research Hub
ISSN 1502-8143 (online)