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Econometrica Vol. 65 No. 1 1997

Bayesian Vector Autoregressions with Stochastic Volatility

Harald Uhlig

Tilburg University

Abstract

This paper proposes a Bayesian approach t o a v ector autoregression with stochastic volatility, where the multiplicative e v olution of the precision matrix is driven by a m ultivariate beta variate.Exact updating formulas are given to the nonlinear ltering of the precision matrix.Estimation of the autoregressive parameters requires numerical methods: an importance-sampling based approach is explained here.i

DOI
10.2307/2171813
Volume
65
Issue
1
Pages
59
Sources
bibtex:phds-export.bib crossref openalex

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