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In this paper, we extend the standard Gaussian stochastic-volatility Bayesian VAR by employing the generalized hyperbolic skew Student's t distribution for the innovations. Allowing the skewness parameter to vary over time, our specification permits flexible modelling of innovations in terms of...
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We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors …
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information contained in a large panel of yields. In particular, we use a large Bayesian Vector Autoregression (BVAR) with an …
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