gathering picking up during the recession period. We also find that forecast revisions depend on both own country and cross …-country lagged revisions. Therefore, one source of information rigidity is not to incorporate overseas events in forecast revisions …

react in a timely fashion to changes in the environment, leading to real-time forecast improvements relative to other … methods of density forecast combination, such as Bayesian model averaging, optimal (static) pools, and equal weights. We show …

discusses how to forecast future oil price movements based on information from both the oil futures market and the spot market …

. This paper proposes a number of approaches to forecast short-term changes in selected world economic variables and aims …, first, at ranking various forecasting methods in terms of forecast accuracy and, second, at checking whether methods … direct forecasts at the aggregate levels (top-down approaches), the forecast accuracy is neither improved nor deteriorated (i …

react in a timely fashion to changes in the environment, leading to real-time forecast improvements relative to other … methods of density forecast combination, such as Bayesian model averaging, optimal (static) pools, and equal weights. We show …

environment, leading to real-time forecast improvements relative to other methods of density forecast combination, such as …

gains in out-of-sample forecast accuracy compared with conventional no-change forecasts? How useful are oil futures markets … price forecast to alternative assumptions about future demand and supply conditions? How does one quantify risks associated …