to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …

matrix and averages model estimates across all data releases. Using standard forecasting and policy models to analyze … monetary authorities’ reaction functions, we show that this simple method can improve forecasting performance and provide …

components. Third, although of crucial importance in forecasting asset returns, current and lagged factors do not enter the limit …

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one … forecasting a wide range of macroeconomic variables. Moreover, we analyse to what extent its forecasting accuracy depends on the …

This paper proposes a new method of forecasting euro area quarterly real GDP that uses area-wide indicators, which are … information approach outperforms alternative forecasting methods in terms of forecast accuracy. …

combining different forecasting procedures generally produces more accurate forecasts than can be attained from a single model. …

This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence … Purchasing Managers Indices (PMIs) for forecasting global (48 countries) growth, and compare forecasts from AugGVAR models with a … number of data-rich forecasting methods, including Lasso, Ridge, partial least squares and factor-based methods. It is found …