hierarchically by export destination and product category. We apply existing state of the art methods in forecast reconciliation and … forecasts, reconciliation also leads to improvements in forecast accuracy. …

exploit many predictors, and this chapter surveys these methods. The first group of methods considered is forecast combination … (forecast pooling), in which a single forecast is produced from a panel of many forecasts. The second group of methods is based … increasingly precise as the number of series increases) can be used to forecast individual economic variables. The third group of …

entropy to tilt one-step ahead and long-horizon VAR forecasts to match the nowcast and long-horizon forecast from the Survey … of Professional Forecasters. The results indicate meaningful gains in multi-horizon forecast accuracy relative to model …, including those that are not directly tilted but are affected through spillover effects from tilted variables. The forecast …

further improve the other method's forecasting performance. The performance of using BMA to forecast bond excess return is … model in forecasting one-month-ahead yield curve. We apply BMA to forecast the government bond yield change and indicate BMA …

area, the United States and Japan. In particular, incorporating survey forecast information helps to reduce the uncertainty …

This paper introduces a new approach to forecast pooling methods based on a nonparametric prior for the weight vector …