In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...

In this paper we replace the Gaussian errors in the standard Gaussian, linear state space model with stochastic volatility processes. This is called a GSSF-SV model. We show that conventional MCMC algorithms for this type of model are ineffective, but that this problem can be removed by...

This paper re-investigates the implications of monetary policy rules on changes in exchange rate, in a risk-adjusted, uncovered interest parity model with unrestricted parameters, emphasizing the importance of modeling market expectations of monetary policy. I use consensus forecasts as a proxy...

This paper re-investigates the implications of monetary policy rules on changes in exchange rate, in a risk-adjusted, uncovered interest parity model with unrestricted parameters, emphasizing the importance of modeling market expectations of monetary policy. I use consensus forecasts as a proxy...

We develop a multivariate generalization of the Markov-switching GARCH model introduced by Haas, Mittnik, and Paolella (2004b) and derive its fourth-moment structure. An application to international stock markets illustrates the relevance of accounting for volatility regimes from both a...

This paper examines co-movements and volatility spillovers in the returns of the euro, the British pound, the Swiss franc and the Japanese yen vis-à-vis the US dollar before and after the introduction of the euro. Based on dynamic correlations, variance decompositions, generalized VAR analysis,...