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Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate … this paper, we propose to forecast exchange rates with a large Bayesian VAR (BVAR), using a panel of 33 exchange rates vis … produces systematically better forecasts than a random walk for most of the countries, and at any forecast horizon, including …
Persistent link: https://www.econbiz.de/10003765975
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...
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We assess the bivariate relation between money growth and inflation in the euro area and the United States using hybrid time-varying parameter Bayesian VAR models. Model selection based on marginal likelihoods suggests that the relation is statistically unstable across time in both regions. The...
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In this article, we propose a cointegration-based Permanent-Transitory decomposition for nonstationary Dynamic Factor … Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a …-term stationary one. A Monte Carlo experiment shows that taking into account the cointegration structure in the DFM leads to a much …
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