encouraging. In a pseudo out-of-sample exercise, our approach beats relevant benchmarks for forecasting CPI inflation and an …

product, which in turn are used as an input in the forecasting process. Such forecasts reflect and incorporate the flow of … in a synchronous way. The forecasting power of the dynamic factor model is compared with those of several other models …

proposed model demonstrates a remarkable performance in short-term and medium-term forecasting. Using real-time GDP data since …

-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 …

conduct. Given that GDP figures are available with a significant delay central banks are increasingly using Nowcasting as a … useful tool for having an immediate perception of economic conditions. We develop a GDP growth Nowcasting exercise using a … compare their relative forecasting ability using the Giacomini and White (2004) test and find no significant difference in …

across different horizons and real-time datasets. To further improve performances when forecasting with machine learning, we …

-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator …