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 …

We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with … forecasting methods can perform better than forecasts based on individual estimates and demonstrate how gains in predictive … stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage …

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 …

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real …-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature …, namely the FRED-MD dataset. Focusing on U.S. GDP, consumption and investment growth, our results suggest that the news data …

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one … forecasting a wide range of macroeconomic variables. Moreover, we analyse to what extent its forecasting accuracy depends on the …