Ji, Qiang and Zhang, Dayong and Zhao, Yuqian (2022) Intra-day co-movements of crude oil futures: China and the international benchmarks. Annals of Operations Research, 313 (1). pp. 77-103. DOI https://doi.org/10.1007/s10479-021-04097-x
Ji, Qiang and Zhang, Dayong and Zhao, Yuqian (2022) Intra-day co-movements of crude oil futures: China and the international benchmarks. Annals of Operations Research, 313 (1). pp. 77-103. DOI https://doi.org/10.1007/s10479-021-04097-x
Ji, Qiang and Zhang, Dayong and Zhao, Yuqian (2022) Intra-day co-movements of crude oil futures: China and the international benchmarks. Annals of Operations Research, 313 (1). pp. 77-103. DOI https://doi.org/10.1007/s10479-021-04097-x
Abstract
Investigating the co-movements between crude oil futures helps to understand the integration of the global markets. This paper focuses on Shanghai crude oil futures (INE) and study its co-movements with the international benchmarks of WTI and Brent crude oil futures in intra-day day and night trading sessions. A complex network model framework is proposed to analyse the intra-day co-movement patterns labelled by a functional data clustering approach on intra-day return curves. Our findings indicate INE is more integrated with the global market during the night session, but it shows a regional fractional effect during the day session. Based on the revealed dynamics of co-movement patterns, we further design a pairs trading strategy between INE crude oil futures and the international benchmarks. The simulation results show that the pairs trading strategy can be promisingly profitable, even during market turmoil phases.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | INE Crude oil futures; WTI and Brent; Intra-day co-movement patterns; Complex network model; Pairs trading |
| Divisions: | Faculty of Social Sciences Faculty of Social Sciences > Essex Business School |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 26 May 2021 10:10 |
| Last Modified: | 16 Aug 2025 04:22 |
| URI: | http://repository.essex.ac.uk/id/eprint/30488 |
Available files
Filename: INEnet_final.pdf