Intra-day Seasonality and Abnormal Returns in the Brent Crude Oil Futures Market

27 Pages Posted: 14 Jan 2025

See all articles by Christian Oliver Ewald

Christian Oliver Ewald

University of Glasgow; Høgskole i Innlandet; Umeå University - Department of Mathematics and Mathematical Statistics

Erik Haugom

Inland Norway University of Applied Sciences

Ruolan Ouyang

Jinan University

Erik Smith-Meyer

Norwegian University of Life Sciences (UMB) - School of Economics and Business

Ståle Størdal

affiliation not provided to SSRN

Date Written: November 28, 2024

Abstract

We investigate intra-day seasonal patterns in Brent crude oil futures traded at the Intercontinental Exchange in London. Our data cover tick data for futures of various maturities from January 2010 to October 2021, a database covering 130 Gigabytes of oil transactions. We convert these data into one-minute data and observe statistically significant intra-day seasonal patterns with peaks and bottoms at particular times of the day, depending on maturities and whether or not spreads are considered. In the second part of our analysis, we explore whether these systematic patterns can be exploited to create arbitrage-like long-short strategies, going long and short at particular times during the day. The answer is yes; even when accounting for realistic transaction costs and margin requirements, some of the proposed strategies can create consistent positive and significant CAPM alphas.

Keywords: Brent Crude Oil, Futures, Seasonality, High-Frequency Trading, Intra-day Patterns, Abnormal Returns, Arbitrage, Large Data

JEL Classification: G11, G12, G13

Suggested Citation

Ewald, Christian Oliver and Haugom, Erik and Ouyang, Ruolan and Smith-Meyer, Erik and Størdal, Ståle, Intra-day Seasonality and Abnormal Returns in the Brent Crude Oil Futures Market (November 28, 2024). Available at SSRN: https://ssrn.com/abstract=5037563 or http://dx.doi.org/10.2139/ssrn.5037563

Christian Oliver Ewald (Contact Author)

University of Glasgow ( email )

Adam Smith Building
Glasgow, Scotland G12 8RT
United Kingdom

Høgskole i Innlandet ( email )

Lillehammer, 2624
Norway

Umeå University - Department of Mathematics and Mathematical Statistics ( email )

Samhallsvetarhuset, Plan 2
Umeå, SE 901 87
Sweden

Erik Haugom

Inland Norway University of Applied Sciences ( email )

HOME PAGE: http://https://www.inn.no/finn-en-ansatt/erik-haugom.html

Ruolan Ouyang

Jinan University ( email )

No. 601 Western Huangpu Avenue, TianHe District
Guangzhou, 510632
China

Erik Smith-Meyer

Norwegian University of Life Sciences (UMB) - School of Economics and Business ( email )

P.O. Box 5003
NO-1432 Aas
Norway

Ståle Størdal

affiliation not provided to SSRN

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