Understanding Dynamic Conditional Correlations between Oil, Natural Gas and Non-Energy Commodity Futures Markets

Niaz Bashiri Behmiri, Matteo Manera () and Marcella Nicolini

The Energy Journal, 2019, vol. 40, issue 2, 55-76

Abstract: We look at the dynamic conditional correlations (DCCs) between oil, natural gas and other non-energy commodity futures markets, obtained from a DCC-GARCH model over the period 1998-2014. They are positive and display a sharp increase around year 2008 and a subsequent decrease. The DCCs between energy and metals are larger than the energy-agriculture ones. To understand how macroeconomic and financial factors, as well as speculative activity, influence them, we estimate an ARDL(1,1) model, adopting a pooled mean group (PMG) estimator. We observe that macroeconomic and financial variables are significantly correlated with the energy-agriculture and energy-metals DCCs. Speculative activity contributes to explain the energy-agriculture DCCs but not those of the energy-metals.

Keywords: Multivariate GARCH; Dynamic conditional correlations; Pooled mean group; Commodity futures markets; Oil; Natural gas; Agriculture; Metals. (search for similar items in EconPapers)
Date: 2019
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Journal Article: Understanding Dynamic Conditional Correlations between Oil, Natural Gas and Non-Energy Commodity Futures Markets (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:enejou:v:40:y:2019:i:2:p:55-76

DOI: 10.5547/01956574.40.2.nbeh

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