risk of selecting a poor forecasting model, and improve both statistical and economic measures of out-of-sample forecast …

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the … forecasting performance of our proposed model relative to most of the existing alternative specifications. While most of the … and useful for forecasting. …

The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we … propose three alternative reduced rank forecasting models and compare their predictive performance for US time series with the …

We provide methods for forecasting variables and predicting turning points in panel Bayesian VARs. We specify a … point and average forecasts are provided. An application to the problem of forecasting the growth rate of output and of … predicting turning points in the G-7 illustrates the approach. A comparison with alternative forecasting methods is also provided. …

-of-sample forecasting, and accuracy in the estimation of impulse response functions. …

forecasting accuracy and then perform a structural exercise focused on the effect of a monetary policy shock on the macroeconomy …. Results show that BVARs estimated on the basis of hundred variables perform well in forecasting and are suitable for …

Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate … forecasting. In addition, we adopt a driftless random walk prior, so that cross-dynamics matter for forecasting only if there is …