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Interdependence and lead-lag relationships between the oil price and metal markets: Fresh insights from the wavelet and quantile coherency approaches

Authors :
Sandrine Kablan
Shawkat Hammoudeh
Aviral Kumar Tiwari
Rabeh Khalfaoui
ICN Business School
Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School
Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique (ERUDITE)
Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Gustave Eiffel
Bennett S. LeBow College of Business - Department of Economics and International Business
Drexel University
Source :
Energy Economics, Energy Economics, Elsevier, 2021, 101, pp.105421. ⟨10.1016/j.eneco.2021.105421⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

We empirically examine the connectedness between the oil market and the major precious metals (gold, silver platinum, palladium) and the base metal copper over the available period covering December 06, 1988 to August 31, 2018, using the wavelet coherence and quantile cross-spectral analyses. The major findings can be summed up as follows. First, regarding the connectedness among the considered precious metal markets, there is no evidence of identifying the causal interplays. Second, gold and platinum are highly connected with oil and they influence oil prices, especially during global markets' turmoil. Third, the cross-quantile coherency analysis shows that gold and silver exhibit the highest quantile coherency. Fourth, the intensity of the nexus between gold and copper attains its nadir at the extreme upper and lower quantiles. Our empirical findings have relevant implications for investors. It is important for investors in commodity markets to make appropriate investment market decisions in extreme market circumstances. On the other hand, policymakers may benefit from our research, as they could generate suitable strategies.

Details

Language :
English
ISSN :
01409883
Database :
OpenAIRE
Journal :
Energy Economics, Energy Economics, Elsevier, 2021, 101, pp.105421. ⟨10.1016/j.eneco.2021.105421⟩
Accession number :
edsair.doi.dedup.....c5007184891f1fad22fa593e6645bc35
Full Text :
https://doi.org/10.1016/j.eneco.2021.105421⟩