Value and Momentum: Why the Combination Beats Either Alone

Value and momentum are two of the strongest, most-documented factors in finance. They are also, in a useful sense, opposites — and the opposition is exactly what makes them work so well together. Three decades of academic research, including a paper that examined them across eight markets and four asset classes, all point at the same conclusion: a portfolio that combines both has historically delivered steadier results than either factor on its own, without giving up the long-run edge.

The short version. Value (buying cheap assets) and momentum (buying recent winners) are negatively correlated — they tend to shine and struggle at different times. Asness, Moskowitz, and Pedersen’s 2013 paper “Value and Momentum Everywhere” documented this pattern across U.S. equities, international equities, bonds, currencies, and commodities. A 50/50 combination has historically produced a higher Sharpe ratio than either factor alone, mostly by smoothing the worst drawdowns of each.

The two factors, side by side

Value and momentum point in different directions on purpose.

Value buys assets that look cheap on fundamental measures — low price-to-book, low price-to-earnings, high cash flow yield. It is a bet that the market has overreacted to bad news, and that prices will eventually drift back toward fair value. The classic academic citation is Fama and French’s 1992 “The Cross-Section of Expected Stock Returns,” which formalized the value premium and made it part of the standard model.

Momentum buys assets whose prices have already been rising. It is a bet that recent trends persist over an intermediate horizon — that the market underreacts to good news, and that winners keep winning for long enough to make a strategy out of. The defining paper is Jegadeesh and Titman (1993), and momentum was added to the standard asset-pricing model as Carhart’s fourth factor in 1997.

Each factor, on its own, has a strong long-run record. Each also has periods where it doesn’t work — and crucially, those periods tend not to be the same periods. Value’s bad stretches and momentum’s bad stretches usually don’t overlap.

The diversification engine: negative correlation

The breakthrough insight isn’t that either factor works. That was already well-known. The insight is that they work at different times.

Asness, Moskowitz, and Pedersen’s 2013 paper, “Value and Momentum Everywhere” in the Journal of Finance, documented the correlation structure of value and momentum across U.S. equities, international equities, country indices, government bonds, currencies, and commodities. The pattern was remarkably consistent. Across nearly every market and asset class they examined, the two factors had a negative correlation of meaningful magnitude.

The intuition is straightforward. When a market is grinding through a regime change — say, an extended drawdown that bottoms and reverses — momentum gets hurt because the rebound rewards what it had been selling. But that same rebound tends to be a strong period for value, because the cheap, beaten-down names are exactly what value had been buying. The roles reverse in trending markets: when a sustained trend is in place, momentum harvests it, and value (often holding the unloved laggards) lags or loses ground.

You get two factors with strong individual records and bad days that don’t line up. That’s an unusual combination — and it’s precisely the setup that diversification theory says should produce a smoother combined return than either input.

The result: better Sharpe, smoother ride

In the Asness-Moskowitz-Pedersen paper, the empirical result was clean. A simple 50/50 combination of value and momentum produced a higher Sharpe ratio than either factor alone — not by adding return on top, but by reducing the volatility of the combined strategy.

The mechanism is exactly what the negative correlation predicted: the deep drawdowns that periodically derail either factor were partially offset by the other factor doing its best work during the same period. The combination didn’t average two factors’ returns into a mediocre middle. It compounded both at lower realized volatility, which is the textbook definition of risk-adjusted improvement.

This finding has been replicated and extended many times in the years since. The diversification benefit of combining value and momentum is now treated as a near-foundational result in factor investing — the kind of finding that informs how multi-factor portfolios are constructed across both academic and applied settings.

Why it works — beyond the numbers

The statistical case for combining value and momentum is strong. But the deeper explanation for why they pair so well comes down to what each factor is implicitly betting on.

• Value bets on mean reversion at long horizons. It assumes that prices that have drifted far from fundamentals will eventually be pulled back. Its bad periods are when that mean reversion is delayed — when cheap things stay cheap, or get cheaper, for longer than the investor can wait.
• Momentum bets on trend persistence at intermediate horizons. It assumes that good (or bad) news propagates slowly through markets, so what’s been rising tends to keep rising. Its bad periods are when persistent trends suddenly invert.

These two bets are not just statistically uncorrelated — they are conceptually opposite. They each capture a real, persistent feature of how markets process information, and the features show up most strongly in different parts of the same cycle. Holding both is a way of being long both sides of the information-processing story at once, rather than betting on either one in isolation.

Practical implications: how investors use the combination

Once you accept that value and momentum diversify each other, several practical questions follow. The academic literature and applied practice converge on a few answers:

• The combination is a portfolio decision, not a security decision. You don’t have to find individual stocks that are both cheap and momentum-strong (those are rare and not really the point). The diversification benefit shows up when you allocate to value-tilted and momentum-tilted strategies in parallel, and let the negative correlation do its work at the portfolio level.
• Rebalancing matters. As one factor outperforms, the portfolio drifts toward it — and toward concentrated exposure to its specific drawdown risk. Periodic rebalancing back toward the target mix is what keeps the diversification benefit intact over time.
• Equal weighting is a reasonable default. The literature finds the benefit is robust across a wide range of mixes; you don’t need to precisely optimize the split to capture most of it. A 50/50 or thereabouts has been the canonical reference, and it’s hard to beat without overfitting.

For an advisor building a multi-factor sleeve, the takeaway is that a value-and-momentum pairing punches above its complexity. It is two well-understood factors, easy to explain to clients, with a robust theoretical and empirical case behind their combination.

How SignalStrike fits in (and doesn’t)

A clarity note before going further: SignalStrike is a momentum platform for U.S. equities. It is not a multi-factor or multi-asset platform. The Asness-Moskowitz-Pedersen paper documented value and momentum across equities, bonds, currencies, and commodities; that full cross-asset universe is the paper’s scope, not SignalStrike’s.

What SignalStrike does is the momentum side of the equation — and it does it in a way designed to be one of the two legs in a value-and-momentum allocation, not the whole portfolio. That distinction is intentional:

• SignalStrike is built as a layer, not a wholesale replacement for a portfolio. The platform’s existing positioning treats momentum as an active, satellite sleeve that sits on top of a core. Combining it with a value sleeve from elsewhere in the investor’s allocation is exactly the construction the academic research supports.
• The platform’s transparent parameter set — universe, lookback, ranking method, weighting, rebalance cadence — makes the momentum leg of a multi-factor portfolio testable and explainable. You can build a momentum configuration and backtest it before deciding what its role in a broader allocation should be.
• For advisors building multi-factor sleeves for client portfolios, the SignalStrike momentum sleeve is designed to be evaluated alongside whatever value implementation the practice already trusts. The full methodology is available to walk through, and the platform’s public portfolio tracker shows how the momentum sleeve has behaved with the founders’ own capital deployed on it.

The honest framing: SignalStrike makes the momentum side of a value-and-momentum portfolio easier to build, test, and run. The value side is a separate decision — but the case for pairing them is one of the most robust findings in factor investing.

Frequently Asked Questions

Why do value and momentum work well together?

Value and momentum are negatively correlated — they tend to shine and struggle in different market regimes. Value tends to do well when sentiment swings back toward beaten-down names; momentum tends to do well during sustained trends. Combining them in a portfolio means the bad periods of one are often offset by the good periods of the other, which produces a higher historical Sharpe ratio than either factor alone.

What is the negative correlation between value and momentum?

Across most markets and asset classes, value and momentum have shown a persistent negative correlation in their returns — meaning when one factor performs well, the other often performs poorly, and vice versa. Asness, Moskowitz, and Pedersen documented this in their 2013 paper “Value and Momentum Everywhere,” finding the pattern held across U.S. equities, international equities, bonds, currencies, and commodities.

How should I combine value and momentum in a portfolio?

The academic literature and practitioner experience converge on a few rules: combine them at the portfolio level rather than trying to find individual stocks that are both cheap and momentum-strong, rebalance periodically so the mix doesn’t drift toward whichever factor has recently outperformed, and start with an approximately equal-weighted allocation between the two — the diversification benefit is robust across reasonable mixes.

Does combining value and momentum increase returns?

The main benefit of the combination is not higher raw returns — it’s higher risk-adjusted returns. By smoothing out the worst drawdowns of either factor, the combined strategy has historically produced a meaningfully higher Sharpe ratio. Whether the absolute return is higher than either factor depends on the period; the more reliable finding is the improvement in the return-to-risk ratio.

Is value or momentum more important in factor investing?

Neither factor dominates in the academic literature — they are treated as roughly comparable in long-run importance, and as the two pillars of the standard factor model alongside size and quality. The more interesting result is that they are not substitutes for each other. Holding both is mathematically and conceptually different from holding more of either, because of the negative correlation between them.

Further Reading

• Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). “Value and Momentum Everywhere.” Journal of Finance.
• Fama, E. F., & French, K. R. (1992). “The Cross-Section of Expected Stock Returns.” Journal of Finance.
• Jegadeesh, N., & Titman, S. (1993). “Returns to Buying Winners and Selling Losers.” Journal of Finance.
• Carhart, M. M. (1997). “On Persistence in Mutual Fund Performance.” Journal of Finance.
• For the broader context on momentum specifically, see our pillar overview: Momentum Investing: How It Works and Why It Persists.

Related Research

• What Is Momentum Investing? A Complete Guide — Learn how momentum investing works - the academic research, why baskets beat individual picks, and why monthly rebalancing outperforms trailing stops.
• Momentum Investing Research: 30 Years of Academic Findings — The most-cited academic papers on momentum investing — what each study showed, why it matters, and how the field has evolved across three decades of research.
• Momentum Crashes: The Hidden Risk in Momentum Investing — Momentum crashes are sudden, severe losses in momentum strategies — usually right after a panic. Here is when they occur, why, and how to manage them.

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