forecasting approach for East German GDP that takes data availability in real time and regional economic indicators into account …

This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence … that (a) regardless of the forecasting methods considered, PMIs are useful for nowcasting, but their value added diminishes … factor-augmented high-dimensional VAR model. The small sample properties of the proposed solution are investigated by Monte …

We analyze the performance of a broad range of nowcasting and short-term forecasting models for a representative set of … indicators that come from a comparable set of identical data. We show that nowcasting works well for the new EU countries because … nowcasting is on average somewhat larger. …

forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions … the algorithm in forecasting GDP growth 3- to 12-months ahead is assessed through simulations in pseudo-real-time for six …

indicators for forecasting quarterly Chinese GDP growth. We iterate the evaluation over forecast horizons from 370 days to 1 day … 2009. Industrial production can be quite valuable for now- or even forecasting, but only if it is released shortly after … manufacturing purchasing managers' index of the Chinese National Bureau of Statistics help much for now- or forecasting. Our results …

nowcasting and forecasting quarterly world GDP using mixed-frequency models. We find that a recently proposed indicator that …

This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence … that (a) regardless of the forecasting methods considered, PMIs are useful for nowcasting, but their value added diminishes … factor-augmented high-dimensional VAR model. The small sample properties of the proposed solution are investigated by Monte …