On the study of conditional dependence structure between oil, gold and USD exchange rates
Stéphane Goutte () and
International Review of Financial Analysis, 2018, vol. 59, issue C, 134-146
Energy commodities and precious metals differ from other trading products. In fact, both oil and gold prices are leading economic variables and drive the evolution of the world economy. Since the US dollar is used as the primary currency of international crude oil and gold trading, the relationship between commodities, metals and exchange rates became a major research agenda recently. Therefore, this study proposes a Nested copula based GARCH models to explore the dependence structure between oil, gold and USD exchange rate. More importantly, a comparative framework based on three sub-periods is implemented to capture the co-movement during normal and crisis period. Empirical results suggest that for both crisis period the dependence between oil, gold and USD exchange rate is stronger comparing with the dependence during the untroubled period. Moreover, the co-movement is accelerated which is explained by the unusual movement of USD during the global financial crisis of 2007–2009.
Keywords: Dependence structure; Nested Archimedean copula; BiVaR (search for similar items in EconPapers)
JEL-codes: C14 C22 G01 Q40 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: On the study of conditional dependence structure between oil, gold and USD exchange rates (2018)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:59:y:2018:i:c:p:134-146
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Haili He ().