regression used in Bai and Ng (2008), called the elastic net (Zou and Hastie, 2005). We illustrate our approach by forecasting …

A forecasting exercise is presented to assess the predictive potential of a daily price index based on online prices …

We present a comprehensive disaggregate approach for short-term forecasting economic activity in Germany by explicitly …

In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …

We address the problem of selecting the common factors that are relevant for forecasting macroeconomic variables. In … economic forecasting using diffusion indexes the factors are ordered, according to their importance, in terms of relative …-real time forecasting exercise, assessing the predictions of 8 macroeconomic variables using factors extracted from an U …

, monthly indicators. We examine in the context of univariate forecasting equations to what extent monthly indicators provide …

focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. -- Shrinkage ; Forecasting …

We compare a number of data-rich prediction methods that are widely used in macroeconomic forecasting with a lesser …. -- Macroeconomic forecasting ; factor models ; forecast combination ; principal components ; partial least squares ; Bayesian ridge …

as a pseudo real time forecasting exercise, i.e. due account is taken of the pattern of available monthly variables over …