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IEFA vs VNQ: Correlation & Overlap

iShares Core MSCI EAFE ETF (IEFA) and Vanguard Real Estate ETF (VNQ) show a moderate relationship: their 3-year correlation of weekly returns is 0.56. The two funds also share 0.1% of their portfolios by weight.

Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology

Correlation (3Y)
0.56
moderate
Correlation (1Y)
0.50
last 12 months
Correlation (5Y)
0.66
long-run
Holdings overlap
0.1%
7 common holdings

How correlated are IEFA and VNQ?

Over the past 3 years, IEFA and VNQ moved with a correlation of 0.56, which is moderate. Little has changed lately, as the 1-year reading of 0.50 lands near the 3-year figure. Over 5 years the correlation is 0.66, and the annualized covariance of weekly returns is 138.4 %².

Within IEFA's tracked universe of 111 assets, VNQ comes in at #76 by 3-year correlation. The trailing year gives IEFA the advantage: +21.8% versus +10.3%, a 11.5-point spread. Across three years, the rolling one-year figure varied moderately, from 0.45 to 0.83.

+1.0+0.50-0.5-1.020232026-08-27
One-year correlation, rolled weekly across the last three years.
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.

IEFA vs VNQ: side by side

IEFA (iShares Core MSCI EAFE ETF)VNQ (Vanguard Real Estate ETF)
1-year return+21.8%+10.3%
5-year return+54.5%+9.5%
Volatility (ann.)15.0%16.6%
Beta vs S&P 5000.770.59
Max drawdown (3Y)-13.8%-17.5%
Dividend yield3.35%3.51%
Expense ratio0.07%0.13%
Assets under management$190.1B$73.1B
Sector / categoryETF · InternationalETF · Real Estate
Lower fee: IEFA 0.07% vs 0.13%Higher yield: VNQ 3.51% vs 3.35%Smaller drawdown: IEFA -13.8% vs -17.5%Higher 5y return: IEFA +54.5% vs +9.5%

On the fund side, IEFA sits in the Foreign Large Blend category at iShares, with $190.1B under management, 1620 holdings, a 0.07% expense ratio, a 3.35% trailing dividend yield. VNQ is a Real Estate fund from Vanguard: $73.1B under management, 140 holdings, a 0.13% expense ratio, a 3.51% trailing dividend yield.

-4%0%+22%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. IEFA · VNQ

Portfolio overlap between IEFA and VNQ

The two portfolios are largely distinct. Weighing the shared positions, 0.1% of the two funds is identical, spread across 7 common holdings. That shared book is a large part of why the returns line up.

Common holdingWeight in IEFAWeight in VNQ
LAND0.03%0.02%
ALX0.01%0.03%
EPR0.01%0.25%
DOC0.01%0.79%
FR0.01%0.46%
CWK0.01%0.16%
SAFE0.01%0.04%

Largest positions held only by IEFA: ASML (2.57%), HSBA (1.35%), ROP (1.22%), SAN (1.17%), NOVN (1.10%). Only by VNQ: VRTPX (14.54%), WELL (8.54%), PLD (7.04%), EQIX (5.25%), AMT (4.22%).

Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-08-26. Top 7 common positions shown.

Year-by-year returns

YearIEFAVNQ
2022-15.2%-26.3%
2023+18.0%+11.9%
2024+3.3%+4.8%
2025+32.1%+3.2%
2026+14.5%+12.5%

Calendar-year price returns; the current year is year-to-date as of the data date above.

Are IEFA and VNQ good diversifiers for each other?

Only partially. A correlation of 0.56 means IEFA and VNQ share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.

FAQ

What is the correlation between IEFA and VNQ?

As of 2026-08-27, the correlation of weekly returns between IEFA and VNQ is 0.56 over 3 years, 0.50 over 1 year and 0.66 over 5 years.

Is VNQ a good diversifier for IEFA?

Only partially. A correlation of 0.56 means IEFA and VNQ share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.

How much do IEFA and VNQ overlap?

The two funds share 7 holdings amounting to 0.1% of weight, per issuer portfolio files dated 2026-08-26.

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IEFA vs VNQ: 3-year weekly correlation 0.56IEFA vs VNQ0.56

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Hubs: IEFA correlations · VNQ correlations