Market efficiency and information flow between the crude palm oil and crude oil futures markets

Minhyuk Jeong, Sungchun Kim, Eojin Yi, Kwangwon Ahn

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1 Citation (Scopus)

Abstract

This study analyzes the efficiency of the crude palm oil (CPO) futures market by conducting a variance ratio test and comparing it to the West Texas Intermediate (WTI) futures market. We discover that the weak-form efficient market hypothesis holds for both the CPO and WTI futures markets despite the significant difference in their liquidity. Using a scaling exponent, we investigate speculative trading activities and find that trading CPO futures in expectation of significant returns does not strongly involve a high level of risk unlike WTI futures. Our findings regarding market efficiency of the two futures markets are supported by the significant integration of the two with similar level of information flow from each market to the other. To explore the role of speculation in their market integration, we introduce a natural experimental setting using the coronavirus disease 2019 (COVID-19) pandemic, which caused a sudden decrease in the demand for fuel. The bidirectional information flow between the two markets is intensified after the COVID-19 pandemic due to lower level of speculation. The findings suggest that (i) stakeholders in the CPO market need to pay attention to the crude oil markets to anticipate its price changes, (ii) investors can use WTI futures as a hedging tool against CPO futures as long as there is mutual information flow, and (iii) regulators should carefully implement new CPO futures market policy, as either asymmetric changes in speculation or unbalanced regulation with the WTI futures market can create market distortion and regulatory arbitrage.

Original languageEnglish
Article number101008
JournalEnergy Strategy Reviews
Volume45
DOIs
Publication statusPublished - 2023 Jan

Bibliographical note

Funding Information:
This work was supported (i) by the Technology Innovation Program ATC+ ( 20014125 , Development of Intelligent Management Solution for Nuclear Decommissioning Site Characterization) funded by the Ministry of Trade, Industry & Energy (Republic of Korea) and (ii) by the Department of Investment Information Engineering at Yonsei University.

Publisher Copyright:
© 2022 The Authors

All Science Journal Classification (ASJC) codes

  • Energy (miscellaneous)

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