represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic …-horizon forecasting and structural models should be used in long-horizon forecasting. Our paper compareds both state-of-the art data …

forecasting tool. We use a nonparametric test of the densities that is based on the inverse probability functions and is modified … that the densities based on the Americanoption markets for foreign exchange do quite well for the forecasting period over …

tests wheter the densities provided from American options provide a good forecasting tool. We use a non-parametric test of … series nature of the transformed variables when the forecasting windows overlap. The inverse probability of the realized …

macroeconomic policy analysis and forecasting. By means of an empirical application we demonstrate that these models turn out to be …

in the international data. The largest forecasting accuracy gains from including international predictors are at longer … forecast horizons. The forecasting performance achievable with the data-rich methods differs widely, with shrinkage methods and …

relate to the forecasting environment (which cannot be influenced by the forecasters). Among the variables capturing the … forecasting design (which can, by contrast, be influenced by the forecasters), the size of the dataset from which factors are … unbalanced panel, whether restrictions implied by the factor structure are imposed in the forecasting equation or not and whether …