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We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors …
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cointegration techniques in modelling the conditional mean, as well as multivariate GARCH models for the conditional variances. We …
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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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