forecast combinations to vary across forecast horizons. While the latter approach is not always more accurate than selecting … mean-squared prediction error of real-time pooled forecasts is between 3% and 29% lower than that of the no-change forecast … as well as quarterly forecasts. We illustrate how forecast pooling may be used to produce real-time forecasts of the real …

-of-sample forecasting exercise, we find that both pooling and accounting for spatial effects helps to substantially improve the forecast …

no-change forecast. Our key finding is that substantial reductions in the mean-squared prediction error (MSPE) of … greater reductions in MSPEs are possible by constructing a pooled forecast that assigns equal weight to five of the most …

bank’s own interest rate expectations. From a theoretical point of view, the latter should yield the highest forecast … view, appears to be at best of minor relevance empirically. -- Forecast Accuracy ; Density Forecasts ; Projections …

horizon. In this paper, the efficiency gains from the joint estimation of forecast uncertainty for all horizons in such …Multi-step-ahead forecasts of forecast uncertainty in practice are often based on the horizon-specific sample means of … recent squared forecast errors, where the number of available past forecast errors decreases one-to-one with the forecast …

the no-change forecast. Our key finding is that substantial reductions in the mean-squared prediction error (MSPE) of … greater reductions in MSPEs are possible by constructing a pooled forecast that assigns equal weight to five of the most …

The forecast performance of the empirical ESTAR model of Taylor, Peel and Sarno (2001) is examined for 4 bilateral real … constructed, considering forecast horizons of 1 to 22 steps head. The study finds that no forecast gains over a simple AR(1 …) specification exist at any of the forecast horizons that are considered, regardless of whether point or density forecasts are …

the forecasts, given the local nature of real-estate markets. The forecast accuracy of different predictors is tested in a … confidence at the national level, consumer confidence, and price-to-rent ratios. Even better forecast precision can be achieved … by combining individual forecasts. On average, the forecast improvements attain about 20%, measured by reduction in RMSFE …

returns. Our results suggest that the decomposition model produces higher forecast and directional accuracy than any of the …