Interactions between the eurozone and US booms and busts and among major eurozone economies are analyzed by introducing a panel Markov-switching VAR model well suitable for a multi-country cyclical analysis. The model accommodates changes in low and high data frequencies and endogenous...

A new Bayesian multi-chain Markov Switching GARCH model for dynamic hedging in energy futures markets is developed by constructing a system of simultaneous equations for the return dynamics on the hedged portfolio and futures. More specifically, both the mean and variance of the hedged portfolio...

This paper builds on Asai and McAleer (2009) and develops a new multivariate Dynamic Conditional Correlation (DCC) model where the parameters of the correlation dynamics and those of the log-volatility process are driven by two latent Markov chains. We outline a suitable Bayesian inference...

The canonical predictions of intertemporal open-economy macro models are tested by a structural VAR analysis of Group of Seven countries. The analysis is distinguished from the previous literature in that it adopts minimal assumptions for identification. Consistent with a large set of...

We investigate the long-run relationship between the real exchange rate, traded and non-traded productivity levels, and government spending for 14 OECD countries, using recently developed panel cointegration tests. The results indicate that under certain assumptions it is easier to detect...

The evidence for a productivity-based explanation for real exchange rate behavior of East Asian currencies is examined. Using sectoral output and employment data, relative prices and relative productivity levels are calculated for China, Indonesia, Japan, Korea, Malaysia, Philippines, Singapore,...

In this paper the evidence for a productivity-based explanation for real exchange rate behavior of East Asian currencies is examined. Using sectoral output and employment data, relative prices and relative productivities are calculated for China, Indonesia, Japan, Korea, Malaysia, the...

A flexible forecast density combination approach is introduced that can deal with large data sets. It extends the mixture of experts approach by allowing for model set incompleteness and dynamic learning of combination weights. A dimension reduction step is introduced using a sequential...

A Bayesian nonparametric predictive model is introduced to construct time-varying weighted combinations of a large set of predictive densities. A clustering mechanism allocates these densities into a smaller number of mutually exclusive subsets. Using properties of the Aitchinson's geometry of...

Interconnections between Eurozone and United States booms and busts and among major Eurozone economies are analyzed using a Panel Markov-Switching VAR model. The model accommodates changes in low and high data frequencies and incorporates endogenous time-varying transition matrices of...