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ICLN vs USMV: Correlation & Overlap

iShares Global Clean Energy ETF (ICLN) and iShares MSCI USA Min Vol Factor ETF (USMV) show a moderate relationship: their 3-year correlation of weekly returns is 0.30. Looking through to holdings, 0.4% of the two portfolios is the same by weight.

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

Correlation (3Y)
0.30
moderate
Correlation (1Y)
0.11
last 12 months
Correlation (5Y)
0.45
long-run
Holdings overlap
0.4%
1 common holdings

How correlated are ICLN and USMV?

Over the past 3 years, ICLN and USMV moved with a correlation of 0.30, which is moderate. Lately the two have drifted apart, with the 1-year correlation at 0.11 versus 0.30 over 3 years. Over 5 years the correlation is 0.45, and the annualized covariance of weekly returns is 70.5 %².

Among the 78 assets we track against ICLN, USMV ranks #62 by 3-year correlation. The last year tells two different stories: ICLN led by 15.5 percentage points, +25.6% for ICLN against +10.1% for USMV. Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from 0.13 to 0.70. Risk is not evenly split, since ICLN carries 2.4 times the volatility of the other side.

+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.

ICLN vs USMV: side by side

ICLN (iShares Global Clean Energy ETF)USMV (iShares MSCI USA Min Vol Factor ETF)
1-year return+25.6%+10.1%
5-year return-18.4%+42.3%
Volatility (ann.)24.0%9.9%
Beta vs S&P 5000.780.51
Max drawdown (3Y)-34.6%-9.4%
Dividend yield1.05%1.48%
Expense ratio0.39%0.15%
Assets under management$2.3B$23.6B
Sector / categoryETF · ThematicETF · US Style
Lower fee: USMV 0.15% vs 0.39%Higher yield: USMV 1.48% vs 1.05%Smaller drawdown: USMV -9.4% vs -34.6%Higher 5y return: USMV +42.3% vs -18.4%

ICLN is a Miscellaneous Sector fund from iShares: $2.3B under management, 102 holdings, a 0.39% expense ratio, a 1.05% trailing dividend yield. USMV, iShares's Large Blend fund, carries $23.6B under management, 164 holdings, a 0.15% expense ratio, a 1.48% trailing dividend yield.

-2%0%+62%2025-09-052026-08-27
Price paths over the last 12 months, both indexed to 100 at the start (weekly closes). ICLN · USMV

Portfolio overlap between ICLN and USMV

The two portfolios are largely distinct: 0.4% of the funds' weight sits in the same underlying holdings (1 common positions). Correlation tells you they move together; overlap tells you why.

Common holdingWeight in ICLNWeight in USMV
FSLR7.87%0.36%

Largest positions held only by ICLN: 600900 (7.64%), BE (7.36%), NXT (6.81%), ENPH (4.70%), VWS (4.36%). Only by USMV: MSFT (1.68%), NEM (1.65%), VRTX (1.63%), JNJ (1.58%), WELL (1.57%).

Overlap = sum of the smaller of the two weights across common holdings, from issuer disclosures as of 2026-08-26. Top 1 common positions shown.

Year-by-year returns

YearICLNUSMV
2022-5.4%-9.4%
2023-20.4%+10.3%
2024-25.7%+15.7%
2025+47.0%+7.6%
2026+8.8%+9.1%

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

Are ICLN and USMV good diversifiers for each other?

Yes, to a useful degree: a correlation of 0.30 leaves real independence between the two, which historically damped combined volatility.

FAQ

What is the correlation between ICLN and USMV?

The ICLN/USMV correlation stands at 0.30 on a 3-year window (1 year: 0.11, 5 years: 0.45), computed from weekly returns as of 2026-08-27.

Is USMV a good diversifier for ICLN?

Yes, to a useful degree: a correlation of 0.30 leaves real independence between the two, which historically damped combined volatility.

How much do ICLN and USMV overlap?

Per the issuers' own portfolio disclosures (2026-08-26), the overlap is 0.4% by weight over 1 common positions.

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ICLN vs USMV: 3-year weekly correlation 0.30ICLN vs USMV0.30

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Hubs: ICLN correlations · USMV correlations