Cross‐asset time‐series momentum strategy: A new perspective
Abstract We propose a new investment strategy, the improved cross‐asset time‐series momentum (I‐XTSM) strategy, to predict future returns and make investments. Using data on 25 investment portfolios and common commodities for the period from January 1990 to December 2023, we find that the I‐XTSM strategy increases profitability substantially in the stock market and avoids momentum collapse effectively. We also document that its profitability is driven by the predictive power of the industrial metal assets' past signals. Even after considering transaction costs and market exposure, the I‐XTSM demonstrates superior performance and explains the excess profits of other momentum strategies.
Authors
- Bin Li (ORCID: https://orcid.org/0000-0001-7588-9623)
- Tarlok Singh (ORCID: https://orcid.org/0000-0001-8105-9706)
- Jung Chul Park (ORCID: https://orcid.org/0000-0003-0124-0295)
- Dezhong Xu (ORCID: https://orcid.org/0000-0003-0887-1743)
Institutions
- Griffith University (AU)
- University of South Florida (US)
Publication Details
- Journal
- Accounting and Finance
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1111/acfi.70001
- Primary Topic
- Financial Markets and Investment Strategies
- Type
- article
- Field-Weighted Citation Impact
- 0.00