matrix and averages model estimates across all data releases. Using standard forecasting and policy models to analyze … monetary authorities' reaction functions, we show that this simple method can improve forecasting performance and provide …

This paper proposes a new method of forecasting euro area quarterly real GDP that uses area-wide indicators, which are … information approach outperforms alternative forecasting methods in terms of forecast accuracy. …

paper considers ways of using high-dimensional data in forecasting. We consider selecting variables from a known active set …-dimensional setting with an application to forecasting UK inflation at different horizons over the period 2020q1-2023q1. This application …

-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature … for forecasting consumption developments. …

This paper derives new theoretical results for forecasting with Global VAR (GVAR) models. It is shown that the presence … Purchasing Managers Indices (PMIs) for forecasting global (48 countries) growth, and compare forecasts from AugGVAR models with a … number of data-rich forecasting methods, including Lasso, Ridge, partial least squares and factor-based methods. It is found …

information. We explore several new forecasting approaches for the U.S. retail price of gasoline and compare their accuracy with … successful forecasting models. Pooled forecasts have lower MSPE than the EIA gasoline price forecasts and the gasoline price …