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DIA vs XLE: Correlation & Overlap

Measured on weekly returns over the past three years, SPDR Dow Jones Industrial Average ETF (DIA) and Energy Select Sector SPDR Fund (XLE) carry a correlation of 0.22, a weak link. The two funds also share 2.2% of their portfolios by weight.

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

Correlation (3Y)
0.22
weak
Correlation (1Y)
-0.30
last 12 months
Correlation (5Y)
0.34
long-run
Holdings overlap
2.2%
1 common holdings

How correlated are DIA and XLE?

Over the past 3 years, DIA and XLE moved with a correlation of 0.22, which is weak. Lately the two have drifted apart, with the 1-year correlation at -0.30 versus 0.22 over 3 years. Over 5 years the correlation is 0.34, and the annualized covariance of weekly returns is 66.0 %².

Within DIA's tracked universe of 116 assets, XLE comes in at #106 by 3-year correlation. The last year tells two different stories: XLE led by 24.8 percentage points, +19.2% for DIA against +44.0% for XLE. Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from -0.27 to 0.57. Risk is not evenly split, since XLE carries 1.8 times the volatility of the other side.

+1.0+0.50-0.5-1.020232026-08-27
Rolling one-year correlation of weekly returns over the past 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.

DIA vs XLE: side by side

DIA (SPDR Dow Jones Industrial Average ETF)XLE (Energy Select Sector SPDR Fund)
1-year return+19.2%+44.0%
5-year return+64.8%+206.7%
Volatility (ann.)13.0%23.1%
Beta vs S&P 5000.790.27
Max drawdown (3Y)-16.0%-20.1%
Dividend yield1.37%2.55%
Expense ratio0.16%0.08%
Assets under management$45.2B$39.2B
Sector / categoryETF · US Large CapSector ETF
Lower fee: XLE 0.08% vs 0.16%Higher yield: XLE 2.55% vs 1.37%Smaller drawdown: DIA -16.0% vs -20.1%Higher 5y return: XLE +206.7% vs +64.8%

DIA, State Street Investment Management's Large Value fund, carries $45.2B under management, 30 holdings, a 0.16% expense ratio, a 1.37% trailing dividend yield. XLE is an Equity Energy fund from State Street Investment Management: $39.2B under management, 22 holdings, a 0.08% expense ratio, a 2.55% trailing dividend yield.

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

Portfolio overlap between DIA and XLE

The two portfolios are largely distinct. Weighing the shared positions, 2.2% of the two funds is identical, spread across 1 common holdings. That shared book is a large part of why the returns line up.

Common holdingWeight in DIAWeight in XLE
CVX2.22%14.84%

Largest positions held only by DIA: GS (11.56%), CAT (9.13%), MSFT (5.51%), AMGN (4.89%), UNH (4.45%). Only by XLE: XOM (20.03%), COP (6.30%), MPC (5.40%), PSX (5.37%), VLO (5.05%).

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

YearDIAXLE
2022-7.0%+64.3%
2023+16.0%-0.6%
2024+14.8%+5.6%
2025+14.7%+7.9%
2026+12.3%+41.2%

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

Are DIA and XLE good diversifiers for each other?

Yes, to a useful degree: a correlation of 0.22 leaves real independence between the two, which historically damped combined volatility.

FAQ

What is the correlation between DIA and XLE?

The DIA/XLE correlation stands at 0.22 on a 3-year window (1 year: -0.30, 5 years: 0.34), computed from weekly returns as of 2026-08-27.

Is XLE a good diversifier for DIA?

Yes, to a useful degree: a correlation of 0.22 leaves real independence between the two, which historically damped combined volatility.

How much do DIA and XLE overlap?

The two funds share 1 holdings amounting to 2.2% of weight, per issuer portfolio files dated 2026-08-26.

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DIA vs XLE: 3-year weekly correlation 0.22DIA vs XLE0.22

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