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Bayesian estimation of the GARCH(1,1) model with Student-t innovations

Ardia, David and Hoogerheide, Lennart F. (2009): Bayesian estimation of the GARCH(1,1) model with Student-t innovations. Published in: The R Journal , Vol. 2, No. 2 (31 December 2010): pp. 41-47.

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Abstract

This paper presents the R package bayesGARCH which provides functions for the Bayesian estimation of the parsimonious but effective GARCH(1,1) model with Student-t innovations. The estimation procedure is fully automatic and thus avoids the time-consuming and difficult task of tuning a sampling algorithm. The usage of the package is shown in an empirical application to exchange rate log-returns.

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