pooling techniques, including Mallows model averaging and Cross-Validation model averaging, for short-term forecasting euro …

forecasting together with cross-equation accounting identities. A pseudo real-time forecasting exercise indicates that the model … outperforms various benchmarks, such as quarterly time series models and bridge equations in forecasting growth in quarterly GDP …

paper, we compare their performance in a relevant case for policy making, i.e., nowcasting and forecasting quarterly GDP …This paper compares the mixed-data sampling (MIDAS) and mixed-frequency VAR (MF-VAR) approaches to model speci … exponential lag polynomials for the coe¢ cients, whereas MF-VAR does not restrict the dynamics and therefore can suffer from the …

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. …

This paper investigates the trade-off between timeliness and quality in nowcasting practices. This trade-off arises …. Our main finding from a historical nowcasting simulation based on euro area GDP is that the predictive power of the survey …

-noise dynamic factor models, commonly used in macroeconomic forecasting and nowcasting. We show analytically and in Monte Carlo … estimation accuracy. Modestly increasing the noise level also accelerates convergence. A nowcasting exercise of euro area GDP …

forecasting euro area manufacturing production. Following Boivin and Ng (2006), the emphasis is put on the role of dataset …

for interpretation in e.g. nowcasting applications as it allows to determine the sign and size of a news as well as its … experiment and we apply it to nowcasting and backdating of euro area GDP. …

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. …