Explaining intraday crude oil returns with higher order risk-neutral moments

Patrick Wong

Journal of Commodity Markets, 2023, vol. 31, issue C

Abstract: High frequency crude oil option data is used to extract the higher order risk-neutral moments from the crude oil market. These risk-neutral moments include the variance, third central moment and the recently developed tail risk variation measures. We find it is beneficial to disaggregate these risk-neutral moments into their semi-moments, and to work with their log differences instead of the level. The log differences of the second and third semi-moments, and to a lesser extent, the log differences of the tail risk measures, are found to explain returns in the crude oil and S&P 500 futures at high frequency. We also provide evidence that the efficient market hypothesis holds at high frequency in these markets.

Keywords: High frequency option data; Higher risk-neutral moments; Crude oil (search for similar items in EconPapers)
JEL-codes: C58 G12 G13 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2405851323000211
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:jocoma:v:31:y:2023:i:c:s2405851323000211

DOI: 10.1016/j.jcomm.2023.100331

Access Statistics for this article

Journal of Commodity Markets is currently edited by Marcel Prokopczuk, Betty Simkins and Sjur Westgaard

More articles in Journal of Commodity Markets from Elsevier
Bibliographic data for series maintained by Catherine Liu ().