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

This paper assesses the forecasting performance of various variable reduction and variable selection methods. A small … and a large set of wisely chosen variables are used in forecasting the industrial production growth for four Euro Area …

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 …

This paper analyses the real-time forecasting performance of the New Keynesian DSGE model of Galí, Smets, and Wouters … professional forecasters improve the forecasting performance. We consider two approaches for conditioning on such information …

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 …