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Momentum Investing: A Stronger, More Resilient Framework for Long-Term Allocators

by Guido Baltussen, PhD
December 17, 2025
in Investing
Reading Time: 5 mins read
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Momentum investing stays a cornerstone of systematic fairness methods, and our latest analysis reveals it’s one deserving of allocators’ full consideration. In our newest assessment (forthcoming, 2026), we offer a complete replace on its empirical foundations and sensible evolution.

Drawing on greater than 150 years of information and hundreds of portfolio specs, we reaffirm momentum’s resilience whereas highlighting its transformation right into a multidimensional phenomenon. The momentum premium just isn’t a statistical fluke or a product of information mining; slightly, it’s a constant and sizable return unfold that has endured throughout eras, geographies, and portfolio development selections.

For institutional traders, nonetheless, our findings are each a validation and a problem: momentum is powerful, however its implementation and danger profile have modified in ways in which demand cautious consideration.

150 Years of Persistence….and Counting

Momentum’s long-term persistence is probably its most defining function and the first purpose it stays related for traders. Exhibit 1 illustrates this long-term efficiency, displaying the cumulative returns of a easy long-short momentum technique from 1866 to 2024.

Over this 150-year pattern, a easy lengthy–brief technique that buys previous winners and sells previous losers turns an preliminary $1 into greater than $10,000, reflecting annualized returns of roughly 8–9%. These returns are usually not solely sizable, but in addition extremely statistically important, with t-statistics far above the thresholds usually used to find out whether or not a result’s actual or attributable to likelihood.

Importantly, this discovering just isn’t delicate to how the portfolios are constructed. Whether or not we use value-weighted or equal-weighted returns, alter the definition of momentum, or alter the time interval examined, the premium persists. Such robustness throughout specs and pattern home windows strengthens the conclusion that momentum just isn’t an artifact of a selected methodology.

For institutional traders, the message is simple: momentum has endured throughout eras, market situations, and portfolio designs, indicating that it displays a structural function of monetary markets slightly than a fleeting anomaly.

Exhibit 1: Lengthy-Time period Efficiency of Momentum

This exhibit reveals the cumulative returns of a long-short momentum technique (winner-minus-loser portfolio) in US equities from 1866 to 2024. Efficiency is gross of transaction prices in USD. Each value-weighted and equal-weighted portfolios are displayed, highlighting the exceptional progress and resilience of momentum over greater than 150 years. Chart represents a snapshot of the info which is absolutely accounted for via 2024. Supply: Baltussen, Dom, Van Vliet & Vidojevic (2026). Momentum issue investing: Proof and evolution, forthcoming in Journal of Portfolio Administration.

But momentum shouldn’t be considered as a single, uniform technique. Its efficiency relies upon closely on how the portfolio is constructed. Design selections equivalent to whether or not returns are value-weighted or equal-weighted, the place breakpoints are set, business neutralization, and microcap inventory inclusion can all have an effect on each the extent of returns and the quantity of danger taken.

To quantify this sensitivity, we create greater than 4,000 variations of momentum portfolios. All of them generate optimistic Sharpe ratios, indicating that the momentum premium is broadly strong. Nevertheless, the efficiency vary is substantial: the median Sharpe ratio is 0.61, however particular person specs span from 0.38 to 0.94. This means that reported returns can fluctuate relying on how the issue is constructed. For practitioners, it underscores the significance of rigorous specification checks and transparency in issue design, particularly when benchmarking or reporting outcomes.

In latest a long time, momentum analysis has broadened nicely past easy worth developments. New types of momentum seize alternative ways during which returns proceed over time. Basic momentum, based mostly on earnings surprises, analyst revisions, or information sentiment, displays traders’ tendency to underreact to new info. Residual momentum focuses on firm-specific return patterns, isolating company-level information and usually producing smoother, higher-Sharpe outcomes. Anchor-based momentum, equivalent to the space to a inventory’s 52-week excessive, exploits behavioral biases like anchoring and the reluctance to promote at a loss.

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Trade and community momentum seize each top-down forces (sector developments, macro cycles) and bottom-up relationships (product-market linkages, analyst consideration spillovers), whereas issue momentum displays slow-moving capital flows into kinds and protracted macro environments favoring sure traits. These different alerts are imperfectly correlated with conventional worth momentum and with each other, offering significant diversification.

The multidimensional composite (EW_ALL), which equally weights worth momentum and ten different alerts, delivers greater common returns, stronger t-statistics, and considerably improved drawdown traits relative to cost momentum alone.

Exhibit 2 illustrates the cumulative efficiency of this composite versus conventional worth momentum since 1927, making the diversification advantages and risk-efficiency positive factors readily obvious.

Exhibit 2: Multidimensional Momentum vs. Value Momentum

This exhibit compares the cumulative returns of conventional worth momentum and the multidimensional momentum composite (EW_ALL) since 1927. Efficiency is gross of transaction prices in USD. All underlying sign portfolios are equal-weighted. The equal-weighted composite combines worth momentum with ten different momentum alerts, demonstrating superior returns and risk-adjusted efficiency relative to cost momentum alone. Chart represents a snapshot of the info which is absolutely accounted for via 2024. Supply: Baltussen et al. (2026). Momentum issue investing: Proof and evolution, forthcoming in Journal of Portfolio Administration.

The Blind Spot

The Achilles heel of momentum, nonetheless, stays its crash danger. Momentum methods are weak to sharp reversals, notably throughout market regime shifts. We doc most drawdowns as giant as –88% for conventional worth momentum, accompanied by left-skewed and fat-tailed return distributions.

Nevertheless, many various momentum alerts are much less unstable, and the multidimensional composite meaningfully reduces danger relative to cost momentum alone. Constructing on prior work, we implement volatility-scaling at each the portfolio and inventory ranges, dramatically decreasing drawdowns and enhancing Sharpe ratios. The ensuing risk-managed momentum technique (RM_MOM) delivers annualized returns of practically 18% at volatility comparable to straightforward momentum, with drawdowns reduce practically in half.

Diversify the Indicators

For institutional traders, the implications are clear. Issue development issues, and robustness checks throughout portfolio designs are vital. Diversifying momentum alerts can ship superior risk-adjusted returns.

Managing crash danger via volatility scaling and multidimensional portfolios is important for sustainable momentum publicity. Whereas risk-based theories could clarify a number of the premium, behavioral biases and limits to arbitrage stay central to momentum’s persistence.

We contemplate Momentum an “everlasting” function of monetary markets. However its implementation should evolve. Buyers who embrace multidimensional, risk-managed momentum methods will probably be higher positioned to seize persistent alpha whereas navigating the inevitable dangers.

References

Baltussen, Dom, Van Vliet & Vidojevic (2026). Momentum issue investing: Proof and evolution, forthcoming in Journal of Portfolio Administration.




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Tags: AllocatorsFrameworkInvestingLongTermmomentumresilientStronger
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