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 …

practice using data from Sweden. We compare the forecast performance of BVAR and DSGE models with the Riksbank's official, more …- and judgment based forecasts, and show that the combined forecast performs well out-of-sample. In addition, we show the …

I use Bayesian VARs to forecast global temperatures anomalies until the end of the XXI century by exploiting their … favorable median forecast predicts the land temperature anomaly to reach 5.6 Celsius degrees in 2100. Forecasts conditional on …