forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor …. For most of the components, we report that factor models yield lower forecasting errors than a simple AR process or an … improvements in terms of forecasting accuracy are found for more volatile periods, such as the recent financial crisis. However …

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

Indices (PMI) in anticipating US real economic activity. We conduct a fully-fledged real-time out-of-sample forecasting … forecasting GDP growth, while it performs quite poorly in anticipating industrial production growth. Combining the information …

Forecasting the world economy is a difficult task given the complex interrelationships within and across countries …, first, at ranking various forecasting methods in terms of forecast accuracy and, second, at checking whether methods … forecasting directly aggregate variables (direct approaches) outperform methods based on the aggregation of country …

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

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

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 …

-time estimates to check the stability of the estimates to GDP revisions. We finally run a forecasting experiment to evaluate the … estimates in real time. Our measures help forecasting inflation over most of our evaluation sample (2001-2010) but fail …