Evaluating Trend‐Based Strategies in Chinese Commodity Futures Markets
ABSTRACT We examine the performance of trend‐based strategies in Chinese commodity futures markets, using a data set of 64 commodity futures from 2003 to 2023. We find that TSMOM strategies generate high returns. The performance is not driven by specific sample periods or individual commodity futures. TSMOM factors also exhibit strong explanatory power for other commodity portfolios, including newly developed trend‐based strategies. Decomposition analysis reveals key drivers, including the autocovariance of commodity returns, independent predictive effects, the distribution of volatility‐managed weights, and a non‐positive risk‐return relationship. We develop four enhanced strategies to improve returns and risk control. All strategies remain robustly profitable after accounting for transaction costs.
Authors
- Xiaojian Yu (ORCID: https://orcid.org/0000-0003-2100-2497)
- Yiran Zheng (ORCID: https://orcid.org/0000-0002-0159-1485)
- Donald D. Lien (ORCID: https://orcid.org/0000-0002-0659-2831)
- Xili Zhang (ORCID: https://orcid.org/0000-0002-5829-7957)
Institutions
- Zhejiang University of Science and Technology (CN)
- Guangdong University Of Finances and Economics (CN)
- Communication University of Zhejiang (CN)
- Guangdong University of Finance (CN)
- The University of Texas at San Antonio (US)
- Zhejiang University (CN)
- South China University of Technology (CN)
Publication Details
- Journal
- Journal of Futures Markets
- Published
- 2025-09-10
- DOI
- https://doi.org/10.1002/fut.70033
- Citations
- 1
- Primary Topic
- Market Dynamics and Volatility
- Type
- article
- Field-Weighted Citation Impact
- 3.13