Do momentum and reversal strategies work in commodity futures? A comprehensive study
Hanxiong Zhang and
Andrew Urquhart
Review of Behavioral Finance, 2020, vol. 12, issue 4, 375-409
Abstract:
Purpose - Motivated by the debate on the patterns and sources of commodity futures returns, this paper investigates the performance of three investment trading strategies, namely, the momentum strategy of Jegadeesh and Titman (1993), the 52-week high momentum strategy of George and Hwang (2004) and the pairs trading strategy of Gatevet al.(2006) in the commodity futures market. Design/methodology/approach - The three strategies are those given by Jegadeesh and Titman (1993), George and Hwang (2004) and Gatevet al.(2006), respectively. Findings - The authors find that there is no significant reversal profit across 189 formation-holding windows for all the three strategies. However, there are statistical and economically significant momentum profits, and the profitability increases with the rising of formation-holding periods. Momentum returns are quite sensitive to market conditions but the crash of momentum returns is partly predictable. Return seasonality, risk and herding also provide partial explanation of the momentum profits. Originality/value - The authors are the first to compare the performances of the pairs trading strategy of Gatevet al.(2006), the conventional momentum of Jegadeesh and Titman (1993), and the 52-week high momentum of George and Hwang (2004) under 189 formation-holding windows. Also, the authors are the first to investigate the association between herding behaviour and momentum returns in the commodity futures market.
Keywords: Commodity futures; Momentum; Reversal; Formation-holding windows; Herding; G11; G12; G13; G14 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers
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:eme:rbfpps:rbf-05-2019-0067
DOI: 10.1108/RBF-05-2019-0067
Access Statistics for this article
Review of Behavioral Finance is currently edited by Professor Gulnur Muradoglu
More articles in Review of Behavioral Finance from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support (feeds@emerald.com).