This paper considers the problem of forecasting in large macroeconomic panels using Bayesian model averaging. Practical … apply these methods to the problem of forecasting GDP and inflation using quarterly U.S. data on 162 time series. Our … analysis indicates that models containing factors do outperform autoregressive models in forecasting both GDP and inflation …

The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that … frequencies on a common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using …

relations existing between them, the central problem is the selection of strategic goals. Forecasting is the necessary precursor … forecasting are used nowadays. Econometric models can be used successfully for predicting the future development of a phenomenon …

, are relevant to forecasting economic growth and stock returns, and whether they contain information that is orthogonal to …