VIG vs VT: Correlation & Overlap
Measured on weekly returns over the past three years, Vanguard Dividend Appreciation ETF (VIG) and Vanguard Total World Stock ETF (VT) carry a correlation of 0.90, a very strong link. By holdings, the two funds overlap 27.1% by weight.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are VIG and VT?
Across a 3-year window, the weekly returns of VIG and VT correlate at 0.90, very strong, meaning they move nearly in lockstep. Little has changed lately, as the 1-year reading of 0.83 lands near the 3-year figure. Stretching to 5 years gives 0.92, with an annualized covariance of 148.8 %².
By 3-year correlation, VT places #14 of the 106 assets tracked against VIG. The trailing year gives VT the advantage: +17.1% versus +22.7%, a 5.6-point spread. The rolling one-year correlation stayed in a tight band between 0.83 and 0.95 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.
VIG vs VT: side by side
| VIG (Vanguard Dividend Appreciation ETF) | VT (Vanguard Total World Stock ETF) | |
|---|---|---|
| 1-year return | +17.1% | +22.7% |
| 5-year return | +64.0% | +67.7% |
| Volatility (ann.) | 11.9% | 13.9% |
| Beta vs S&P 500 | 0.74 | 0.92 |
| Max drawdown (3Y) | -15.0% | -16.5% |
| Dividend yield | 1.50% | 1.59% |
| Expense ratio | 0.04% | 0.06% |
| Assets under management | $130.9B | $97.9B |
| Sector / category | ETF · Dividend | ETF · Global |
On the fund side, VIG sits in the Large Blend category at Vanguard, with $130.9B under management, 333 holdings, a 0.04% expense ratio, a 1.50% trailing dividend yield. VT is a Global Large-Stock Blend fund from Vanguard: $97.9B under management, 5308 holdings, a 0.06% expense ratio, a 1.59% trailing dividend yield.
Portfolio overlap between VIG and VT
The two portfolios partially overlap: 27.1% of the funds' weight sits in the same underlying holdings (298 common positions). Correlation tells you they move together; overlap tells you why.
| Common holding | Weight in VIG | Weight in VT |
|---|---|---|
| AAPL | 4.47% | 4.00% |
| MSFT | 4.35% | 3.09% |
| AVGO | 4.65% | 1.62% |
| JPM | 4.09% | 0.84% |
| LLY | 3.94% | 0.82% |
| XOM | 2.80% | 0.58% |
| JNJ | 2.68% | 0.55% |
| V | 2.46% | 0.54% |
| WMT | 2.12% | 0.44% |
| MA | 2.01% | 0.41% |
| CSCO | 1.99% | 0.41% |
| ABBV | 1.92% | 0.40% |
| COST | 1.83% | 0.38% |
| BAC | 1.75% | 0.36% |
| UNH | 1.63% | 0.34% |
Largest positions held only by VIG: ERIE (0.03%), BRC (0.02%), HWKN (0.01%), EFSC (0.01%), ANDE (0.01%). Only by VT: NVDA (4.20%), AMZN (2.36%), GOOGL (1.89%), 2330 (1.61%), GOOG (1.49%).
Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-07-31. Top 15 common positions shown.
Year-by-year returns
| Year | VIG | VT |
|---|---|---|
| 2022 | -9.8% | -18.0% |
| 2023 | +14.5% | +22.0% |
| 2024 | +17.0% | +16.5% |
| 2025 | +14.2% | +22.4% |
| 2026 | +11.6% | +15.2% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are VIG and VT good diversifiers for each other?
No. With a correlation of 0.90, VIG and VT move nearly in lockstep, so holding both adds very little diversification.
FAQ
What is the correlation between VIG and VT?
Using weekly returns as of 2026-08-27: 0.90 over 3 years, with 0.83 over the last year and 0.92 over 5 years.
Is VT a good diversifier for VIG?
No. With a correlation of 0.90, VIG and VT move nearly in lockstep, so holding both adds very little diversification.
How much do VIG and VT overlap?
The two funds share 298 holdings amounting to 27.1% of weight, per issuer portfolio files dated 2026-07-31.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/vig-vs-vt.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/vig-vs-vt/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: VIG correlations · VT correlations
