Article ID Journal Published Year Pages File Type
974904 The North American Journal of Economics and Finance 2016 21 Pages PDF
Abstract

•We examine volatility transmission patterns for four currencies and seven commodities.•Multi-Chain Markov Switching model (MCMS) is used to examine four transmission patterns.•Interdependence dominates spillover when U.S. uncertainty variables are excluded.•Spillover overwhelms interdependence when the uncertainty variables are included.•Comovement is the least prevalent regardless whether uncertainty is included or not.

This paper uses the Multi-chain Markov Switching model (MCMS) conditioned on US uncertainty measures (VIX, VIX-oil and FSI) to examine the patterns of volatility transmission across the resource, major and safe haven currencies The results with and without the uncertainty variables generally identify three patterns of volatility transmission: interdependence, spillover and comovement. They reveal the dominance of interdependence over spillovers and comovements when the uncertainty variables are excluded, highlighting the significance of mutual reciprocity of individual market shocks over common shocks across the selected assets. Within portfolios of a two-variable framework (two variables representing two minimum variance portfolios (à la Markowitz), containing a weighted combination of the currencies and of the commodities, respectively), we find interdependence between the two portfolios with and without the VIX, a spillover from commodities to currencies in the case when the FSI is included and independence between the two portfolios in the case when the oil-VIX is accounted for. The implications of the results are important for the portfolio managers in selecting portfolios’ components during high oil volatility periods.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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