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 …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …

We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an … input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results … unemployment rate series. We tested the forecasting ability of best univariate and best bivariate models over 60- and 120-period …

as benchmark. Finally, we replicate the forecasting experiment including as predictors both an indicator of unemployment …

We propose a parsimonious semiparametric method for macroeconomic forecasting during episodes of sudden changes. Based …

forecasting solutions. In this context, the paper develops new forecasting methods for an old problem by employing 13 machine …