Showing 1 - 10 of 411
Recent articles suggest that a Bayesian vector autoregression (BVAR) with shrinkage is a good forecast device even when the number of variables is large. In this paper we evaluate different variants of the BVAR with respect to their forecast accuracy for euro area real GDP growth and HICP...
Persistent link: https://www.econbiz.de/10010352397
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. …
Persistent link: https://www.econbiz.de/10010264416
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 …
Persistent link: https://www.econbiz.de/10014534378
-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. …
Persistent link: https://www.econbiz.de/10012425545
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 …
Persistent link: https://www.econbiz.de/10010435799
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 …
Persistent link: https://www.econbiz.de/10010292498
This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a … pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two … economic forecasting. We additionally take a closer look into the algorithm and ask which indicators get selected. All in all …
Persistent link: https://www.econbiz.de/10011584856
This paper explores a range of different forecast methods for Brent oil prices and analyses their performance relative to oil futures and the random walk over the period 1995Q1 - 2015Q2, including periods of stable, upwardly trending and rapidly dropping oil prices. None of the individual...
Persistent link: https://www.econbiz.de/10011584941
probabilities with a simple GDP forecasting model yields an accurate nowcast for the steepest decline in GDP in 2009Q1 and a correct …
Persistent link: https://www.econbiz.de/10011657178
This paper looks into the ’fine print’ of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …
Persistent link: https://www.econbiz.de/10011431219