Comparing Three Momentum Factors in Futures Markets

Summary

This study compares three futures signals: cumulative return over a lookback window, an average based on cumulative daily steps, and a trend measure incorporating Garman–Klass volatility. It reports information-coefficient statistics, groups contracts into five buckets by factor value, and varies both lookback and holding periods. The tested setup uses weekly rebalancing, an equal 100% allocation without leverage, and a volume-based universe over the period from 2010 through mid-2022. The portfolio tests use long-short selections of five contracts on each side.

The reported results favor the basic momentum factor by average information coefficient, while the authors describe the volatility-based trend factor as the strongest overall strategy, with negative-return years in two years of the sample. The article’s figures and parameter tables are absent from the supplied text, limiting independent assessment. The reported findings are historical and may reflect parameter selection; transaction costs, robustness outside the sample, and other implementation details are not established here.

Key ideas

• The study tests cumulative-return, cumulative-step, and Garman–Klass volatility-based trend signals in futures.
• It evaluates information coefficients, five-way factor sorts, and combinations of lookback and holding periods.
• The test setup uses weekly rebalancing, no leverage, full allocation, and a volume threshold.
• The authors report stronger overall results for the volatility-based trend signal, but the supplied text omits detailed figures and parameter tables.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.