Momentum ETFs: The Factor That Can Make or Break Your Portfolio
Momentum ETFs like MTUM, QMOM, PDP, and SPMO systematically buy recent winners. But the same factor that powers outperformance in bull markets can trigger violent reversals and factor crashes. Here is the full analysis.
There is a deceptively simple idea at the heart of momentum investing: assets that have performed well recently tend to keep outperforming, and assets that have lagged tend to keep lagging.
This phenomenon, known as the momentum anomaly, has been documented in academic literature for decades. It is one of the most robust return premia ever identified across asset classes, geographies, and time periods. Funds like MTUM, QMOM, and SPMO are built to harvest it systematically.
But here is the catch.
Momentum is not a free lunch. When the factor "crashes" — and it does crash, sometimes violently — the losses can come fast and can be far deeper than what a traditional index fund would suffer in the same environment. In November 2020 alone, the momentum factor experienced one of the worst single-month reversals in its documented history.
This analysis cuts through the marketing to show you exactly how momentum ETFs have actually behaved: in bull markets, in bear markets, during the COVID shock, and over a full decade.
How Momentum ETFs Actually Work
Before looking at the numbers, it helps to understand the mechanics.
A momentum ETF does not buy the market. Instead, it screens for stocks that have risen the most over a recent lookback window (typically six to twelve months, excluding the most recent month to avoid short-term reversal) and concentrates a portfolio in those recent winners. It then rebalances on a regular schedule — typically quarterly or semi-annually — rotating out of stocks that have lost their momentum and into new leaders.
The key mechanics to understand:
- Lookback period: Most momentum ETFs measure price strength over the trailing 6–12 months. MTUM also uses risk-adjusted returns rather than raw price change.
- Rebalancing: The portfolio is not static. Stocks are dropped when their momentum signal weakens and replaced with newer leaders, which creates meaningful turnover and transaction costs.
- Concentration risk: Because momentum chases recent winners, the portfolio can become heavily concentrated in whatever sector or theme has recently led the market.
- Crowding: When too many investors pile into the same momentum names, the factor becomes crowded. When the trade reverses, the exit can be brutal.
Momentum ETF Comparison
Not all momentum ETFs are constructed the same way. The differences in methodology create meaningfully different performance profiles.
| ETF | Provider | Methodology | Rebalance | Expense Ratio | AUM |
|---|---|---|---|---|---|
| MTUM.US | BlackRock / iShares | MSCI USA Momentum SR Variant | Semiannual / index-driven | 0.15% | ~$27.5B |
| SPMO.US | Invesco | S&P 500 Momentum | Semiannual | 0.13% | ~$2B |
| PDP.US | Invesco | Dorsey Wright relative strength | Quarterly | 0.62% | ~$1.5B |
| QMOM.US | Alpha Architect | Quantitative momentum / quality screen | Monthly | 0.28% | ~$443M |
| VFMO.US | Vanguard | U.S. momentum factor | Active / factor model | 0.13% | ~$1.6B |
(Note: ETF facts are approximate and based on fund sponsor data as of June 2026. AUM, fees, holdings, and methodology details can change.)
MTUM is the largest and most liquid momentum ETF and typically serves as the industry reference point. QMOM uses a stricter quality filter, selecting only stocks whose momentum comes from consistent upward price movement rather than a single large jump. PDP uses Dorsey Wright's proprietary relative strength methodology, which differs from traditional price-momentum screens.
StressTest.pro Analysis: Performance Across Market Regimes
To understand momentum ETFs honestly, you need to look at them across multiple market environments. A single bull-market track record misses the most important half of the story.
Methodology: All returns are total returns with dividends reinvested and before taxes. The long-term performance uses the maximum available history for each ETF through 2024. Max drawdown measures the largest peak-to-trough decline during the selected period.
Long-Term Performance Using Each ETF’s Available History Through 2024
Over the long term, momentum ETFs have delivered mixed absolute returns — the picture is more nuanced than headline performance numbers suggest. Because these ETFs launched at different times, comparing their total return directly is misleading. Instead, we must compare their annualized return (CAGR) against the S&P 500's CAGR over that exact same time period.
| Asset | Start Date | ETF CAGR | Matched SPY CAGR | Excess CAGR | ETF Max DD | Matched SPY Max DD |
|---|---|---|---|---|---|---|
| QQQ (Nasdaq-100) | Jan 2015 | +18.3% | +13.0% | +5.3% | -35.1% | -33.7% |
| SPMO (Invesco S&P 500 Momentum) | Oct 2015 | +17.0% | +14.2% | +2.8% | -30.9% | -33.7% |
| MTUM (iShares Momentum) | Jan 2015 | +13.2% | +13.0% | +0.2% | -34.1% | -33.7% |
| VFMO (Vanguard Momentum) | Feb 2018 | +12.7% | +13.6% | -0.9% | -36.8% | -33.7% |
| PDP (Invesco DWA Momentum) | Jan 2015 | +10.5% | +13.0% | -2.5% | -34.7% | -33.7% |
| QMOM (AA Quant Momentum) | Dec 2015 | +11.5% | +14.0% | -2.5% | -39.1% | -33.7% |
The real data reveals something important: not all momentum ETFs are equal. SPMO is the clear standout in this dataset, although the comparison should be interpreted using matched start dates because ETF histories differ. MTUM essentially matched SPY — a disappointing result for a dedicated momentum-factor ETF — while PDP, QMOM, and VFMO all lagged. The first lesson of momentum investing is that methodology matters enormously.
More critically, notice that several momentum ETFs had max drawdowns similar to or worse than SPY's (-33.7% since Jan 2015), while SPMO had a smaller max drawdown in its period. Momentum exposure did not provide consistent downside protection across methodologies.
The Bull Market Performance (2023–2024)
The 2023–2024 bull market — driven heavily by the Magnificent Seven mega-cap tech stocks — was a critical test. Would momentum ETFs capture the tech rally?
| Asset | Total Return (2023–2024) | Max Drawdown | vs SPY |
|---|---|---|---|
| SPY (S&P 500) | +58.2% | -10.0% | Benchmark |
| QQQ (Nasdaq 100) | +95.8% | -13.6% | Benchmark |
| SPMO (Invesco S&P 500 Momentum) | +74.2% | -13.2% | +16.0% vs SPY |
| VFMO (Vanguard Momentum) | +49.2% | -15.8% | -9.0% vs SPY |
| QMOM (AA Quant Momentum) | +48.5% | -16.1% | -9.7% vs SPY |
| MTUM (iShares Momentum) | +47.4% | -13.0% | -10.8% vs SPY |
| PDP (Invesco DWA Momentum) | +53.6% | -11.7% | -4.6% vs SPY |
The 2023–2024 bull market tells a more mixed story than you might expect. SPMO delivered clear outperformance at +74% vs SPY's +58%. But MTUM, despite being the largest momentum ETF, actually underperformed the S&P 500 by about 11 percentage points. PDP was closer to market. QMOM and VFMO also lagged.
This divergence reflects a key risk: if the momentum factor rebalances at the wrong moment — rotating into or out of mega-cap tech at an inopportune time — it can miss the exact rally it was supposed to capture. Not all momentum is equal even in a trend-driven market.
The Bear Market Reality (2022)
The 2022 bear market — triggered by rapidly rising interest rates — was different in character from prior downturns. It was not a short, sharp crash but a grinding, sustained selloff across both equities and bonds.
| Asset | Total Return (2022) | Max Drawdown | Notes |
|---|---|---|---|
| SPY (S&P 500) | -18.6% | -24.5% | Benchmark |
| QQQ (Nasdaq 100) | -33.2% | -34.8% | Benchmark |
| SPMO (Invesco S&P 500 Momentum) | -10.5% | -22.7% | Best momentum result |
| QMOM (AA Quant Momentum) | -6.6% | -18.2% | Standout downside protection |
| VFMO (Vanguard Momentum) | -13.1% | -21.5% | Modest protection |
| MTUM (iShares Momentum) | -18.4% | -28.2% | Essentially matched SPY |
| PDP (Invesco DWA Momentum) | -23.4% | -28.4% | Worse than SPY |
The 2022 results reveal the entire range of momentum outcomes. QMOM's strict quality-momentum filter was the surprise winner at -6.6%, significantly outperforming SPY. SPMO also held up well at -10.5%. But MTUM essentially matched SPY's loss, and PDP was worse than the broad market.
The divergence comes from sector rotation: 2022 rewarded energy and commodities while punishing tech. ETFs that rotated into energy early (QMOM, SPMO) won. Those that held tech too long (MTUM, PDP) did not. This regime-dependence is the defining characteristic of momentum — and the reason you cannot generalize bear market performance from one cycle to the next.
The Momentum Crash: When the Factor Fails Catastrophically
The single most important risk in momentum investing is what academics call the momentum crash — a sudden, violent reversal that punishes recent winners and rewards recent losers.
The most dramatic recent example was November 2020.
The COVID Crash and Momentum Reversal (Feb–Dec 2020)
The February–March 2020 COVID crash was brutal for everything, but momentum ETFs did not fare worse than the broad market. The sharper stress came later in the recovery, especially during the November 2020 reopening rotation.
After the vaccine announcements in November 2020, the market rotated violently from COVID winners (tech, e-commerce, cloud) to COVID losers (airlines, hotels, energy, financials). Momentum ETFs were still heavily loaded with the COVID winners — and many momentum strategies lagged or suffered sharp relative reversals during the rotation:
| Asset | Feb–Dec 2020 | Max Drawdown (Feb–Jun 2020) | Notes |
|---|---|---|---|
| SPY (S&P 500) | +17.5% | -33.7% | Benchmark |
| QQQ (Nasdaq-100) | +42.1% | -28.6% | Tech won the recovery |
| QMOM (AA Quant Momentum) | +51.4% | -39.1% | Concentrated in tech winners |
| PDP (Invesco DWA Momentum) | +31.9% | -34.7% | Strong recovery |
| VFMO (Vanguard Momentum) | +29.3% | -36.8% | Decent recovery |
| MTUM (iShares Momentum) | +24.0% | -34.1% | Matched SPY roughly |
| SPMO (Invesco S&P 500 Momentum) | +23.2% | -30.9% | Matched SPY roughly |
The 2020 data shows something interesting: momentum ETFs varied wildly. QMOM's strict quality screen led to a portfolio heavily concentrated in tech and growth stocks, which powered a +51% gain for the period. But MTUM and SPMO essentially matched the S&P 500 — they did not outperform meaningfully despite the powerful tech rally.
This is partly the rebalancing lag problem. Because many momentum ETFs rebalance on fixed schedules — monthly, quarterly, semiannually, or index-driven depending on the fund — they may not immediately adapt when market leadership changes. The sharper stress came during the recovery, especially when market leadership rapidly rotated after vaccine news in November 2020.
Annual Return Scorecard
Looking year by year reveals the regime-dependence of momentum factor returns.
The pattern is consistent: momentum does well in trending markets and struggles in choppy, reversing markets. Years with high volatility and frequent regime changes (2018, parts of 2020, 2023's early rotation) are the most dangerous for momentum strategies.
Factor Crowding: The Hidden Systemic Risk
There is a second-order risk in momentum investing that goes beyond individual ETF performance: factor crowding.
When billions of dollars flow into momentum ETFs, they all buy the same stocks. This creates a crowding dynamic: the stocks that rank highly on momentum screens become overowned, overvalued, and fragile. When the selling starts, everyone heads for the exit at once.
The chart above shows that momentum ETFs do not necessarily provide consistent downside protection across different bear market episodes. The outcome depends on:
- How crowded the factor is before the correction
- How fast the regime changes — a slow grind gives rebalancing time to catch up; a sudden reversal does not
- Which sectors are momentum leaders — tech-heavy momentum portfolios hit harder during rate-driven tech selloffs
Rolling 12-Month Return: The Momentum Premium Over Time
One of the most instructive views of momentum investing is the rolling 12-month return spread versus the S&P 500.
The rolling return chart shows that the momentum premium is not constant. It goes through extended periods of outperformance followed by periods of underperformance. Investors who buy momentum ETFs near peak outperformance runs often experience disappointing forward returns.
The High Turnover Tax Problem
Momentum ETFs rotate their portfolios aggressively. QMOM, for example, has historically shown annual portfolio turnover exceeding 100% per year. This creates two costs that erode long-term returns:
- Explicit transaction costs — bid-ask spreads and market impact on each rotation
- Tax drag in taxable accounts — frequent selling of positions that have appreciated creates short-term capital gains, which are taxed at ordinary income rates
For investors holding momentum ETFs in a taxable account, the after-tax return can be meaningfully lower than the pre-tax headline number. This is especially true for QMOM and PDP, which have higher turnover than the more tax-efficient MTUM and SPMO.
| ETF | Estimated Annual Turnover | Tax Impact in Taxable Accounts |
|---|---|---|
| MTUM | ~70–80% | Moderate |
| SPMO | ~50–60% | Moderate |
| PDP | ~100–120% | High |
| QMOM | ~100–150% | High |
| VFMO | ~80–100% | Moderate-High |
Compared with SPY (~4% turnover) or VOO (~3% turnover), momentum ETFs generate far more taxable events.
When Momentum ETFs Make Sense
Despite the risks, momentum ETFs have a legitimate place in a diversified portfolio for the right investor.
They may be appropriate for investors who:
- hold them in tax-advantaged accounts (401k, IRA) where turnover taxes are irrelevant.
- understand that factor premiums come and go and have a long-enough time horizon to ride out multi-year underperformance.
- use them as a complement to core market exposure rather than a replacement.
- believe that trends in the current market regime are likely to persist.
- are comfortable with concentrated sector exposure during rebalancing cycles.
| Investor Goal | Momentum ETF Fit? | Why |
|---|---|---|
| Long-term factor diversification | Good fit | Momentum premium is real and persistent over full cycles |
| Bull market amplification | Strong fit | Momentum loads up on trending winners |
| Bear market protection | Weak fit | Does not reliably cushion drawdowns |
| Tax efficiency (taxable account) | Weak fit | High turnover creates capital gains distributions |
| Defensive allocation | Poor fit | Momentum crashes can be violent and sudden |
When Momentum ETFs Are Dangerous
They can create poor outcomes if you:
- chase momentum ETFs after a long period of factor outperformance — you may be buying near peak crowding.
- use them as a core defensive or income-generating position.
- hold them in a taxable account without accounting for the tax drag.
- fail to understand the rebalancing lag — during fast market reversals, you may be holding the wrong stocks for weeks before the next rebalance.
- expect consistent outperformance every year — momentum is episodic, not steady.
Frequently Asked Questions
What is a momentum ETF?
A momentum ETF systematically buys stocks that have had strong recent price performance, based on the academic finding that recent winners tend to keep outperforming in the near term. The ETF rebalances regularly to rotate into new momentum leaders.
Do momentum ETFs beat the market?
Some momentum ETFs have beaten broad market benchmarks over certain periods, but the result is not consistent across funds. In this analysis, SPMO outperformed SPY on a matched-period CAGR basis, MTUM roughly matched SPY, and PDP, QMOM, and VFMO lagged over their available histories. Methodology, rebalance timing, sector exposure, and market regime all matter.
What is a momentum crash?
A momentum crash is a sudden, violent reversal where recent winners underperform sharply and recent losers outperform. These typically occur at market inflection points when the dominant theme changes — such as the growth-to-value rotation in late 2020 or the tech-to-energy rotation in 2022.
Which momentum ETF is best?
There is no single "best" momentum ETF. SPMO has been the strongest performer in this analysis, but it is limited to the S&P 500 universe. MTUM is larger and more liquid, but its historical results have been closer to SPY in this period. QMOM uses a more aggressive quality-momentum approach, while PDP follows a relative-strength methodology. The better choice depends on the investor’s universe, tax situation, tracking-error tolerance, and whether they want broad or concentrated factor exposure.
Are momentum ETFs good for long-term investors?
Potentially, if held in a tax-advantaged account and combined with diversified core positions. They are not suited as a standalone long-term holding because they can significantly lag during multi-year value or low-volatility regimes.
Why do momentum ETFs have high turnover?
Because momentum is a dynamic signal. As market leadership changes, the fund must sell yesterday's winners and buy today's winners. The more aggressive the momentum screen, the higher the turnover, and the more capital gains are generated.
Final Takeaway
Momentum investing is one of the most durable return premia in financial markets. The evidence is real, but ETF results vary widely by methodology. In this analysis, SPMO delivered meaningful excess returns, MTUM roughly matched SPY, and several other momentum ETFs lagged.
But momentum is also one of the most behaviorally and technically demanding factors to hold through. The factor crashes suddenly, it is pro-cyclical rather than defensive, and it generates significant tax costs in taxable accounts. Investors who buy momentum ETFs for the wrong reasons — chasing recent performance, expecting consistent protection, or misunderstanding the rebalancing lag — often end up with worse outcomes than a simple index fund.
Used correctly — as a diversifying factor sleeve in a tax-advantaged account, paired with value or quality tilts to reduce crash correlation, and held with a multi-year time horizon — momentum ETFs can meaningfully improve a portfolio's long-run return.
The key is to understand the regime risk, not just the backtest result.
What to Stress Test Before Buying a Momentum ETF
Before adding a momentum ETF, test:
- Whether it improves portfolio CAGR or only increases tech exposure
- How it behaved during 2020, 2022, and other rotation-heavy periods
- Whether drawdowns improved or got worse versus SPY
- How much it overlaps with existing QQQ, growth, or large-cap positions
- Whether the return improvement is large enough to justify turnover, taxes, and tracking-error risk
Run Your Own Stress Test
Don't guess how momentum would have affected your portfolio. Stress test it.
If you are considering adding MTUM, QMOM, or SPMO to your portfolio, use StressTest.pro to visualize the actual historical drawdowns, factor risks, and full-cycle returns against your current holdings.
Run a Momentum ETF Backtest- Compare MTUM vs SPY — Full performance breakdown
- Compare MTUM vs QUAL — Momentum vs Quality Factor
- Compare SPMO vs MTUM — Methodology showdown
- Compare QMOM vs MTUM — Quant vs institutional momentum
- Explore more StressTest Resources
- Read more on the StressTest Insights Blog
Sources and Further Reading
Fund Documentation
- iShares MTUM Fund Page
- Invesco SPMO Fund Page
- Invesco PDP Fund Page
- Alpha Architect QMOM Fund Page
- Vanguard VFMO Fund Page
Academic Research
- Jegadeesh, N. & Titman, S. (1993). Returns to Buying Winners and Selling Losers — Journal of Finance
- Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere — Journal of Finance
- Daniel, K. & Moskowitz, T. (2016). Momentum Crashes — Journal of Financial Economics
Related StressTest.pro Analysis
- MTUM vs SPY: Performance Comparison
- MTUM vs QQQ: Momentum vs Nasdaq-100
- SPMO vs MTUM: Methodology Showdown
- MTUM Deep Dive & Factor Risk
- QMOM Deep Dive & Factor Risk
- StressTest.pro Backtest Engine
Disclaimer: This article is for educational purposes only and does not provide personalized investment, tax, or financial advice.