proposed model demonstrates a remarkable performance in short-term and medium-term forecasting. Using real-time GDP data since …

the most relevant recent developments in this field of economic forecasting. To begin with, we analyze the problem of … resulting leading indicator based forecasts, and review the recent literature on the forecasting performance of leading …

encouraging. In a pseudo out-of-sample exercise, our approach beats relevant benchmarks for forecasting CPI inflation and an …

The main goal of the article is to investigate forecasting quality of two approaches to modelling main macroeconomic … accuracy not inferior to that of structural models. Additional advantage of their approach is that the forecasting procedure … can be mostly automated and the influence of subjective decisions made in the forecasting process can be significantly …

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 …

- and hard-threshold algorithms improves the forecasting performance, especially during periods of economic crisis. While a … effect on forecasting performance, all the more, if the set of indicators becomes unbalanced. …- threshold „ und „hard-threshold“ Ansätze die Prognoseleistung deutlich verbessert. Dies gilt insbesondere in Zeiten von …