Connectedness in implied higher-order moments of precious metals and energy markets
Elie Bouri,
Xiaojie Lei,
Yahua Xu and
Hongwei Zhang
Energy, 2023, vol. 263, issue PB
Abstract:
This paper investigates connectedness in option implied moments, such as volatility, skewness, and kurtosis across precious metals (gold, silver) and energy (crude oil and natural gas) markets in both time and frequency domains. Using daily option data from January 4, 2010, to December 31, 2020, we first construct implied moments and then examine their static and dynamic connectedness via time-frequency spillover methods and network analysis. The results show that system-wide connectedness weakens as the moment order becomes higher, and the level of spillovers in all implied moments is much higher at a lower frequency. The spillovers show substantial time variation and pronounced intensity during turbulent periods. Gold is the net transmitter in precious metals and energy markets. However, if excluding the crisis period in 2020, crude oil and gold play dominant roles. Further analysis shows the main drivers of the spillover indices for the higher-order moments. Our findings have important implications for commodity traders and investors, risk managers, and policymakers.
Keywords: Option implied moments; Precious metals and energy markets; Static and dynamic connectedness; Time-frequency spillover domain; Network analysis (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (20)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544222024744
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: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222024744
DOI: 10.1016/j.energy.2022.125588
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().