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 …

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

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

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

-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 …

-real-time forecasting exercise we show that our model outperforms univariate benchmarks, and it does comparably with predictions of market …

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 …

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 …

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 …

-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 …