Economics at your fingertips  

Nonlinear relationships amongst the implied volatilities of crude oil and precious metals

Anupam Dutta, Elie Bouri and David Roubaud

Resources Policy, 2019, vol. 61, issue C, 473-478

Abstract: Unlike most prior studies, we rely on implied volatility data from the Chicago Board of Options Exchange to investigate the presence of cointegration and nonlinear causality between the global market of crude oil and the markets of precious metal (gold and silver) and gold-miner stocks. We apply nonlinear ARDL bound and symmetric and asymmetric nonlinear Granger causality tests to examine cointegration and short-run “lead-lag” relationships, respectively. For comparison purposes, we also apply the linear ARDL models. The results show that the nonlinear ARDL models successfully capture the long-term linkages between oil and precious metal markets, while the linear ARDL approach mostly fails to do so. Results from the nonlinear Granger causality test suggest a bidirectional and symmetric effect between crude oil and gold markets. Investment and policy implications are discussed.

Keywords: Crude oil volatility; Gold and silver volatility; Gold-miners volatility; NARDL; Nonlinear causality (search for similar items in EconPapers)
JEL-codes: C22 G11 G15 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Resources Policy is currently edited by R. G. Eggert

More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Dana Niculescu ().

Page updated 2019-08-24
Handle: RePEc:eee:jrpoli:v:61:y:2019:i:c:p:473-478