IVV vs VIG: Correlation & Overlap
How closely do iShares Core S&P 500 ETF (IVV) and Vanguard Dividend Appreciation ETF (VIG) trade together? Their weekly returns over three years give a correlation of 0.90, which is very strong. The two funds also share 40.8% of their portfolios by weight.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are IVV and VIG?
Over the past 3 years, IVV and VIG moved with a correlation of 0.90, which is very strong, meaning they move nearly in lockstep. Little has changed lately, as the 1-year reading of 0.80 lands near the 3-year figure. Over 5 years the correlation is 0.94, and the annualized covariance of weekly returns is 156.0 %².
By 3-year correlation, VIG places #14 of the 122 assets tracked against IVV. Twelve-month performance is nearly a tie, at +20.7% for IVV and +17.1% for VIG. The link looks structural: the rolling one-year correlation barely moved, holding between 0.80 and 0.96.
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.
IVV vs VIG: side by side
| IVV (iShares Core S&P 500 ETF) | VIG (Vanguard Dividend Appreciation ETF) | |
|---|---|---|
| 1-year return | +20.7% | +17.1% |
| 5-year return | +83.0% | +64.0% |
| Volatility (ann.) | 14.5% | 11.9% |
| Beta vs S&P 500 | 1.00 | 0.74 |
| Max drawdown (3Y) | -18.8% | -15.0% |
| Dividend yield | 1.09% | 1.50% |
| Expense ratio | 0.03% | 0.04% |
| Assets under management | $869.2B | $130.9B |
| Sector / category | ETF · US Large Cap | ETF · Dividend |
IVV, iShares's Large Blend fund, carries $869.2B under management, 503 holdings, a 0.03% expense ratio, a 1.09% trailing dividend yield. VIG, Vanguard's Large Blend fund, carries $130.9B under management, 333 holdings, a 0.04% expense ratio, a 1.50% trailing dividend yield.
Portfolio overlap between IVV and VIG
The two portfolios overlap heavily: 40.8% of the funds' weight sits in the same underlying holdings (169 common positions). Correlation tells you they move together; overlap tells you why.
| Common holding | Weight in IVV | Weight in VIG |
|---|---|---|
| AAPL | 6.96% | 4.47% |
| MSFT | 5.57% | 4.35% |
| AVGO | 2.54% | 4.65% |
| JPM | 1.44% | 4.09% |
| LLY | 1.42% | 3.94% |
| XOM | 0.99% | 2.80% |
| JNJ | 0.98% | 2.68% |
| V | 0.96% | 2.46% |
| MA | 0.73% | 2.01% |
| ABBV | 0.70% | 1.92% |
| WMT | 0.69% | 2.12% |
| CSCO | 0.67% | 1.99% |
| COST | 0.64% | 1.83% |
| BAC | 0.61% | 1.75% |
| LRCX | 0.59% | 1.59% |
Largest positions held only by IVV: NVDA (7.67%), AMZN (3.85%), GOOGL (3.03%), GOOG (2.42%), META (1.91%). Only by VIG: SUNB (0.13%), RS (0.09%), RBA (0.09%), HEI.A (0.09%), ITT (0.08%).
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 | IVV | VIG |
|---|---|---|
| 2022 | -18.2% | -9.8% |
| 2023 | +26.3% | +14.5% |
| 2024 | +24.9% | +17.0% |
| 2025 | +17.8% | +14.2% |
| 2026 | +13.7% | +11.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are IVV and VIG good diversifiers for each other?
Not really. At 0.90, the two trade almost as one position, and owning both buys little extra protection. They also hold much of the same portfolio (40.8% overlap), so the exposure is doubly redundant.
FAQ
What is the correlation between IVV and VIG?
Using weekly returns as of 2026-08-27: 0.90 over 3 years, with 0.80 over the last year and 0.94 over 5 years.
Is VIG a good diversifier for IVV?
Not really. At 0.90, the two trade almost as one position, and owning both buys little extra protection. They also hold much of the same portfolio (40.8% overlap), so the exposure is doubly redundant.
How much do IVV and VIG overlap?
The two funds share 169 holdings amounting to 40.8% of weight, per issuer portfolio files dated 2026-08-26.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/ivv-vs-vig.json
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Related comparisons
Hubs: IVV correlations · VIG correlations
