Dual vs. Single Momentum in Commodities: Enhancing Risk-Adjusted Returns through Absolute Trend Filtering

This research article presents a quantitative framework for managing commodity portfolio volatility through a dual momentum strategy combining relative strength with absolute trend filtering. The study directly addresses a critical structural weakness in traditional cross-sectional momentum approaches: forced exposure to "least declining" assets during broad bear markets, which concentrates tail risk precisely when diversification is most valuable.

The empirical analysis spans 17 years of commodity sector performance across DBA, DBB, DBE, DBP ETFs, testing whether augmenting relative momentum with a time-series trend filter materially improves risk-adjusted returns. Traditional momentum suffers from high parameter sensitivity and erratic benchmark outperformance in commodity markets due to the asset class's structural characteristics—cyclicality, absence of yield, and macroeconomic shock susceptibility. Adding an absolute filter aims to reduce regime-dependent failures.

The findings suggest a meaningful portfolio construction implication: hybrid momentum frameworks may deliver superior downside protection and consistency than single-dimension approaches, particularly during inflationary shocks and recession periods when commodity correlations spike. This has direct relevance for risk parity and tactical allocation strategies.

Sector implication: Commodities' pronounced tail-risk profile and lack of fundamental yield justify systematic defensive overlays. The research reinforces that Basic Materials and Energy exposure requires dynamic positioning rather than static allocation, favoring quantitatively-driven rotation mechanisms over passive beta exposure.