the forecasting process. …

forecasting, economic analyses of efficient markets, inter-temporal derivations, and general-to-specific model selection, tackling … major difficulties confronting forecasting. …

shifts, there is no reduction in forecast failure from forecasting unmodeled variables relative to omitting them in 1-step or …

benchmarks in terms of point and density forecasting. The gains are particular high when the full distribution is predicted and …

of empirical evidence against the ET. Yield spreads do provide important information for forecasting the yield curve …

inflation forecasting.  The model generalises to unobserved component models where Gaussian shocks are replaced by martingale …

We consider forecasting with factors, variables and both, modeling in-sample using Autometrics so all principal …-error taxonomy for factor models highlights the impacts of location shifts on forecast-error biases.  Forecasting US GDP over 1-, 4 … for nowcasting or short-term forecasting, but their relative performance declines as the forecast horizon increases …