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IBB vs XLV: Correlation & Overlap

iShares Biotechnology ETF (IBB) and Health Care Select Sector SPDR Fund (XLV) show a strong relationship: their 3-year correlation of weekly returns is 0.78. Looking through to holdings, 12.4% of the two portfolios is the same by weight.

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

Correlation (3Y)
0.78
strong
Correlation (1Y)
0.72
last 12 months
Correlation (5Y)
0.78
long-run
Holdings overlap
12.4%
9 common holdings

How correlated are IBB and XLV?

Across a 3-year window, the weekly returns of IBB and XLV correlate at 0.78, strong. Little has changed lately, as the 1-year reading of 0.72 lands near the 3-year figure. Stretching to 5 years gives 0.78, with an annualized covariance of 237.2 %².

Within IBB's tracked universe of 168 assets, XLV comes in at #5 by 3-year correlation. The last year tells two different stories: IBB led by 27.9 percentage points, +55.4% for IBB against +27.5% for XLV. The link looks structural: the rolling one-year correlation barely moved, holding between 0.69 and 0.87.

+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.

IBB vs XLV: side by side

IBB (iShares Biotechnology ETF)XLV (Health Care Select Sector SPDR Fund)
1-year return+55.4%+27.5%
5-year return+26.6%+37.4%
Volatility (ann.)20.7%14.7%
Beta vs S&P 5000.810.42
Max drawdown (3Y)-24.9%-17.1%
Dividend yield0.22%1.56%
Expense ratio0.44%0.08%
Assets under management$9.2B$41.7B
Sector / categoryETF · ThematicSector ETF
Lower fee: XLV 0.08% vs 0.44%Higher yield: XLV 1.56% vs 0.22%Smaller drawdown: XLV -17.1% vs -24.9%Higher 5y return: XLV +37.4% vs +26.6%

IBB is a Health fund from iShares: $9.2B under management, 235 holdings, a 0.44% expense ratio, a 0.22% trailing dividend yield. On the fund side, XLV sits in the Health category at State Street Investment Management, with $41.7B under management, 61 holdings, a 0.08% expense ratio, a 1.56% trailing dividend yield.

-2%0%+50%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. IBB · XLV

Portfolio overlap between IBB and XLV

The two portfolios are largely distinct. Weighing the shared positions, 12.4% of the two funds is identical, spread across 9 common holdings. That shared book is a large part of why the returns line up.

Common holdingWeight in IBBWeight in XLV
AMGN8.43%3.80%
GILD7.10%2.94%
VRTX7.89%2.22%
REGN5.68%1.30%
MRNA3.76%0.84%
BIIB2.23%0.52%
INCY1.75%0.34%
CRL0.97%0.23%
TECH0.78%0.18%

Largest positions held only by IBB: ARGX (3.76%), NTRA (3.19%), RVMD (2.83%), ILMN (2.34%), ALNY (2.19%). Only by XLV: LLY (15.03%), JNJ (10.38%), ABBV (7.42%), MRK (6.04%), UNH (5.82%).

Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-08-26. Top 9 common positions shown.

Year-by-year returns

YearIBBXLV
2022-13.7%-2.1%
2023+3.8%+2.1%
2024-2.4%+2.5%
2025+28.0%+14.5%
2026+27.4%+11.8%

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

Are IBB and XLV good diversifiers for each other?

To a limited degree. At 0.78 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.

FAQ

What is the correlation between IBB and XLV?

Using weekly returns as of 2026-08-27: 0.78 over 3 years, with 0.72 over the last year and 0.78 over 5 years.

Is XLV a good diversifier for IBB?

To a limited degree. At 0.78 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.

How much do IBB and XLV overlap?

The two funds share 9 holdings amounting to 12.4% of weight, per issuer portfolio files dated 2026-08-26.

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IBB vs XLV: 3-year weekly correlation 0.78IBB vs XLV0.78

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Hubs: IBB correlations · XLV correlations