to the cross-sectional dimension, the forecasting performance of small monetary VARs can be improved by adding additional …

. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …

forecasting and policy analysis. BEAR is a MATLAB based toolbox which is easy for non-technical users to understand, augment and …

find satisfactory results in terms of forecasting, especially when looking at quarterly variables, such as employment …

This paper considers Bayesian regression with normal and doubleexponential priors as forecasting methods based on large …

reversion and assume that relative prices are unchanged. Direct forecasting or panel data techniques are better than the random …

We run a real exchange rate forecasting "horse race", which highlights that two principles hold. First, forecasts … real exchange rate forecasting. However, it fails to forecast nominal exchange rates better than the random walk. We find …

forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed …-frequency models, introducing a Bayesian approach to reverse unrestricted MIDAS models (RU-MIDAS). We study the forecasting accuracy …