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

Niaz Bashiri Behmiri, Matteo Manera, and Marcella Nicolini
Authors registered in the RePEc Author Service: Marcella Nicolini and Matteo Manera ()

The Energy Journal, 2019, vol. Volume 40, issue Number 2

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

JEL-codes: F0 (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (17)

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