To assess how financial markets and commodities are inter-related, this paper introduces a ‘volatility surprise’ component into the asymmetric DCC with one exogenous variable (ADCCX) framework. We develop an econometric model in which returns and volatility allow to influence pairs of...

This article proposes a new empirical methodology for computing a cross-market volatility index - coined CMIX - based on the Factor-Dynamic Conditional Correlation (DCC) model, implemented on volatility surprises. This approach solves problems in treating high-dimensional data and estimating...

This article adopts the asymmetric DCC with one exogenous variable (ADCCX) model developed by Vargas (2008), by updating the concept of ‘volatility surprise’ to capture cross-market relationships. Current methods for measuring spillovers do not focus on volatility interactions, and neglect...

This paper contains the first empirical application of the Dynamic Equicorrelation (DECO) model to a cross-market dataset composed of equities, bonds, foreign exchange rates and commodities during 1983-2013. The originality of our approach consists in examining the volatility equicorrelations,...

This article assesses the cross-market linkages between commodities, stocks and bonds in a cointegration framework during 1993–2011

This article provides the first empirical application of the dynamic equicorrelation (DECO) model to a cross-market data set composed of equities, bonds, foreign exchange and commodity returns during 1983–2013. The results reveal that the average cross-market equicorrelation is around 47%,...

This article investigates volatility spillovers in commodity markets by following the methodology pioneered in Diebold and Yilmaz (2012). By using a broad data set during 1995–2012, we address three key research questions: are there volatility spillovers within commodities? between standard...

This article investigates momentum strategies in commodity markets. Using a Markov-switching model and formal tests for the number of regimes in the data, we identify momentum trends for a variety of commodities, exchange rates, interest rates and equities. The data cover the period 1995–2012...

This paper studies the nonlinear adjustment between industrial production and carbon prices – coined as ‘the carbon-macroeconomy relationship’ – in the EU 27. We model carbon price returns and industrial production as nonlinear and state-dependent, with dynamics depending on the sign and...

This paper constitutes the first exercise of nonparametric modeling applied to carbon markets. The framework of analysis is carefully detailed, and the empirical application unfolds in the case of BlueNext spot and ECX futures prices. The data is gathered in daily frequency from April 2005 to...