. Furthermore, when comparing the whole forecasting period; model combination outperforms Norges Banks own point forecast for … and data to be used in the forecasting process. …

economy gradually, then order flow can have both explanatory and forecasting power for exchange rates. Using one year of high …

We argue that the next generation of macro modellers at Inflation Targeting central banks should adapt a methodology … from the weather forecasting literature known as `ensemble modelling'. In this approach, uncertainty about model … provide two examples of this modelling strategy: (i) forecasting inflation with a disaggregate ensemble; and (ii) forecasting …

-of-sample forecasting experiment. Our results show that exploiting the informational content in a common global business cycle factor … improves forecasting accuracy in terms of both point and density forecast evaluation across a large panel of countries. In line … earlier in the evaluation sample. However, this time is different also in other respects. On longer forecasting horizons the …

volatility specifications, in terms of point forecasting to some degree and density forecasting to a greater degree. …

Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to improve the … forecasting performance. …