Showing 1 - 10 of 85
period 1970Q1-2003Q4 for 10 macroeconomic variables. The years 2000-2003 are used as forecasting period. A range of different … univariate forecasting methods is applied. Some of them are based on linear autoregressive models and we also use some nonlinear … forecasting variables which need considerable adjustments in their levels when joining German and European Monetary Union (EMU …
Persistent link: https://www.econbiz.de/10009471761
period 1970Q1 - 2003Q4 for ten macroeconomic variables. The years 2000 - 2003 are used as forecasting period. A range of … different univariate forecasting methods is applied. Some of them are based on linear autoregressive models and we also use some … forecasting variables which need considerable adjustments in their levels when joining German and EMU data. These results suggest …
Persistent link: https://www.econbiz.de/10010263654
We propose a classical approach to estimate factor-augmented vector autoregressive (FAVAR) models with time variation in the factor loadings, in the factor dynamics, and in the variance-covariance matrix of innovations. When the time-varying FAVAR is estimated using a large quarterly dataset of...
Persistent link: https://www.econbiz.de/10010304433
We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors and time varying volatilities, even when the cross sectional dimension of the system N is particularly large. The algorithm is based on a simple triangularisation which allows to...
Persistent link: https://www.econbiz.de/10011460766
The development of models for variables sampled at different frequencies has attracted substantial interest in the recent econometric literature. In this paper we provide an overview of the most common techniques, including bridge equations, MIxed DAta Sampling (MIDAS) models, mixed frequency...
Persistent link: https://www.econbiz.de/10012143818
Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … instability in a forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to … improve the forecasting performance. …
Persistent link: https://www.econbiz.de/10012143851
We consider simple methods to improve the growth nowcasts and forecasts obtained by mixed frequency MIDAS and UMIDAS models with a variety of indicators during the Covid-19 crisis and recovery period, such as combining forecasts across various specifications for the same model and/or across...
Persistent link: https://www.econbiz.de/10012422130
We explore whether modelling parameter time variation improves the point, interval and density forecasts of nine major exchange rates vis-a-vis the US dollar over the period 1976-2015. We find that modelling parameter time variation is needed for an accurate calibration of forecast confidence...
Persistent link: https://www.econbiz.de/10011490150
focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. …
Persistent link: https://www.econbiz.de/10010280764
Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate … forecasting. In addition, we adopt a driftless random walk prior, so that cross-dynamics matter for forecasting only if there is …
Persistent link: https://www.econbiz.de/10010280768