TY - JOUR
T1 - Ride the trend
T2 - Is there spread momentum profit in the US commodity markets?
AU - Shang, Quanbiao
AU - Serra, Teresa
AU - Garcia, Philip
N1 - This material is based upon work that is supported by the National Institute of Food and Agriculture, US Department of Agriculture, Hatch #ILLU‐470‐332, and the Office of Futures and Options Research (OFOR) at UIUC. Our thanks are due to the editor and anonymous reviewers who provided very valuable and constructive comments on an earlier draft of this paper.
PY - 2023/2
Y1 - 2023/2
N2 - Some previous researchers have argued that trading strategies based on calendar spread time series momentum (STSM) can deliver significant returns (Szymanowska et al. 2014; Boons and Prado 2019), which, if true, is at odds with the efficient market hypothesis. These arguments however, do not exclude the unrealisable futures contract roll yield and are also affected by other empirical and statistical issues that may lead to misleading results. With more than 30 years of data, we investigate STSM in 22 US commodity futures markets. First, we assess whether past spread returns can predict future returns, a necessary condition for the existence of momentum. We find predictability to be very weak after correcting for the issues affecting prior research. Second, we implement STSM-based investment strategies. We compare STSM profits for individual markets and portfolios to profits generated by a simple long-only benchmark strategy that does not require any predictability. STSM does not generate returns statistically different from the benchmark trading strategy, with both strategies generating very low or negative returns. For the momentum to outperform the benchmark strategy, predictability should be three times larger than observed from real data, but would entail substantial downside risk. In sum, the empirical evidence indicates that returns from STSM-type strategies are illusive for the commodities and period studied. Our results strongly suggest that inclusion of unrealisable roll yield generates the illusion of profitable STSM trading strategies in previous research.
AB - Some previous researchers have argued that trading strategies based on calendar spread time series momentum (STSM) can deliver significant returns (Szymanowska et al. 2014; Boons and Prado 2019), which, if true, is at odds with the efficient market hypothesis. These arguments however, do not exclude the unrealisable futures contract roll yield and are also affected by other empirical and statistical issues that may lead to misleading results. With more than 30 years of data, we investigate STSM in 22 US commodity futures markets. First, we assess whether past spread returns can predict future returns, a necessary condition for the existence of momentum. We find predictability to be very weak after correcting for the issues affecting prior research. Second, we implement STSM-based investment strategies. We compare STSM profits for individual markets and portfolios to profits generated by a simple long-only benchmark strategy that does not require any predictability. STSM does not generate returns statistically different from the benchmark trading strategy, with both strategies generating very low or negative returns. For the momentum to outperform the benchmark strategy, predictability should be three times larger than observed from real data, but would entail substantial downside risk. In sum, the empirical evidence indicates that returns from STSM-type strategies are illusive for the commodities and period studied. Our results strongly suggest that inclusion of unrealisable roll yield generates the illusion of profitable STSM trading strategies in previous research.
KW - futures markets
KW - market efficiency
KW - market momentum
KW - momentum trading
UR - http://www.scopus.com/inward/record.url?scp=85127388800&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127388800&partnerID=8YFLogxK
U2 - 10.1111/1477-9552.12485
DO - 10.1111/1477-9552.12485
M3 - Article
AN - SCOPUS:85127388800
SN - 0021-857X
VL - 74
SP - 24
EP - 47
JO - Journal of Agricultural Economics
JF - Journal of Agricultural Economics
IS - 1
ER -