QQQM vs VTI: Correlation & Overlap
How closely do Invesco Nasdaq 100 ETF (QQQM) and Vanguard Total Stock Market ETF (VTI) trade together? Their weekly returns over three years give a correlation of 0.94, which is very strong. The two funds also share 47.7% of their portfolios by weight.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are QQQM and VTI?
Across a 3-year window, the weekly returns of QQQM and VTI correlate at 0.94, very strong, meaning they move nearly in lockstep. The relationship has been stable: the 1-year correlation (0.93) sits close to the 3-year figure. Stretching to 5 years gives 0.94, with an annualized covariance of 266.5 %².
Among the 103 assets we track against QQQM, VTI ranks #8 by 3-year correlation. On 12-month performance QQQM holds a 5.7-point edge, +26.4% against +20.7%. The rolling one-year correlation stayed in a tight band between 0.87 and 0.97 over the past three years, which points to a structural rather than episodic relationship.
How is this computed?
Pearson correlation on weekly returns: ρ(A,B) = cov(rA, rB) / (σA · σB), over windows of 52, 156 and 260 weeks. Covariance is annualized (×52) and expressed in %². Full definitions on the methodology page.
QQQM vs VTI: side by side
| QQQM (Invesco Nasdaq 100 ETF) | VTI (Vanguard Total Stock Market ETF) | |
|---|---|---|
| 1-year return | +26.4% | +20.7% |
| 5-year return | +96.1% | +74.8% |
| Volatility (ann.) | 19.5% | 14.6% |
| Beta vs S&P 500 | 1.28 | 1.01 |
| Max drawdown (3Y) | -22.7% | -19.3% |
| Dividend yield | 0.46% | 1.06% |
| Expense ratio | 0.15% | 0.03% |
| Assets under management | $97.1B | $2,290.0B |
| Sector / category | ETF · US Growth & Tech | ETF · US Large Cap |
QQQM is a Large Growth fund from Invesco: $97.1B under management, 105 holdings, a 0.15% expense ratio, a 0.46% trailing dividend yield. VTI, Vanguard's Large Blend fund, carries $2,290.0B under management, 3140 holdings, a 0.03% expense ratio, a 1.06% trailing dividend yield.
Portfolio overlap between QQQM and VTI
The two portfolios overlap heavily: 47.7% of the funds' weight sits in the same underlying holdings (92 common positions). Correlation tells you they move together; overlap tells you why.
| Common holding | Weight in QQQM | Weight in VTI |
|---|---|---|
| NVDA | 8.15% | 6.42% |
| AAPL | 7.39% | 6.31% |
| MSFT | 5.93% | 4.80% |
| AMZN | 4.50% | 3.66% |
| GOOGL | 3.20% | 2.91% |
| AVGO | 2.71% | 2.56% |
| GOOG | 2.97% | 2.32% |
| META | 2.74% | 1.70% |
| MU | 4.69% | 1.29% |
| TSLA | 2.77% | 1.22% |
| AMD | 3.48% | 1.08% |
| WMT | 2.26% | 0.68% |
| COST | 1.88% | 0.59% |
| CSCO | 1.96% | 0.57% |
| AMAT | 1.69% | 0.56% |
Largest positions held only by QQQM: SHOP (0.81%), ASML (0.71%), ARM (0.47%), MELI (0.44%), PDD (0.26%). Only by VTI: LLY (1.36%), JPM (1.31%), BRK.B (1.28%), XOM (0.90%), JNJ (0.86%).
Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-08-26. Top 15 common positions shown.
Year-by-year returns
| Year | QQQM | VTI |
|---|---|---|
| 2022 | -32.5% | -19.5% |
| 2023 | +55.0% | +26.0% |
| 2024 | +25.7% | +23.8% |
| 2025 | +20.9% | +17.1% |
| 2026 | +17.7% | +14.2% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are QQQM and VTI good diversifiers for each other?
No. With a correlation of 0.94, QQQM and VTI move nearly in lockstep, so holding both adds very little diversification. On top of that, 47.7% of their holdings are the same, making the doubling-up even more literal.
FAQ
What is the correlation between QQQM and VTI?
Using weekly returns as of 2026-08-27: 0.94 over 3 years, with 0.93 over the last year and 0.94 over 5 years.
Is VTI a good diversifier for QQQM?
No. With a correlation of 0.94, QQQM and VTI move nearly in lockstep, so holding both adds very little diversification. On top of that, 47.7% of their holdings are the same, making the doubling-up even more literal.
How much do QQQM and VTI overlap?
Per the issuers' own portfolio disclosures (2026-08-26), the overlap is 47.7% by weight over 92 common positions.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/qqqm-vs-vti.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/qqqm-vs-vti/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: QQQM correlations · VTI correlations