We propose a new algorithm which allows easy estimation of Vector Autoregressions (VARs) featuring asymmetric priors …

shocks are driven by a stochastic volatility model. We show that our nonparametric approach improves in terms of tail … stochastic volatility, and the simple random walk. We illustrate the practical relevance of our new approach by tracking the …