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J vs XLF: Correlation

Measured on weekly returns over the past three years, Jacobs Solutions (J) and Financial Select Sector SPDR Fund (XLF) carry a correlation of 0.48, a moderate link.

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

Correlation (3Y)
0.48
moderate
Correlation (1Y)
0.51
last 12 months
Correlation (5Y)
0.55
long-run
Ann. covariance
199.5
%² · weekly, annualized

How correlated are J and XLF?

On 3 years of weekly data the J/XLF correlation comes out at 0.48, moderate. Recent behaviour matches the longer record: 0.51 over 1 year against 0.48 over 3. The 5-year figure is 0.55, and annualized covariance runs at 199.5 %².

By 3-year correlation, XLF places #15 of the 34 assets tracked against J. On 12-month performance XLF holds a 6.7-point edge, +2.6% against +9.3%. Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from 0.18 to 0.69. Note the risk asymmetry: J runs 1.6 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.

+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.

J vs XLF: side by side

J (Jacobs Solutions)XLF (Financial Select Sector SPDR Fund)
1-year return+2.6%+9.3%
5-year return+40.5%+64.2%
Volatility (ann.)25.7%16.2%
Beta vs S&P 5000.770.84
Max drawdown (3Y)-34.4%-15.5%
Market cap$17.6B
P/E (trailing)49.9
Dividend yield0.90%1.42%
Expense ratio0.08%
Assets under management$57.9B
Sector / categoryIndustrialsSector ETF
Higher yield: XLF 1.42% vs 0.90%Smaller drawdown: XLF -15.5% vs -34.4%Higher 5y return: XLF +64.2% vs +40.5%

XLF is a Financial fund from State Street Investment Management: $57.9B under management, 77 holdings, a 0.08% expense ratio, a 1.42% trailing dividend yield.

-24%0%+11%2025-09-052026-08-27
Price paths over the last 12 months, both indexed to 100 at the start (weekly closes). J · XLF

Year-by-year returns

YearJXLF
2022-13.1%-10.6%
2023+9.0%+12.0%
2024+24.2%+30.6%
2025+1.1%+14.9%
2026+14.6%+6.6%

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

Are J and XLF good diversifiers for each other?

Yes, to a useful degree: a correlation of 0.48 leaves real independence between the two, which historically damped combined volatility.

FAQ

What is the correlation between J and XLF?

Using weekly returns as of 2026-08-27: 0.48 over 3 years, with 0.51 over the last year and 0.55 over 5 years.

Is XLF a good diversifier for J?

Yes, to a useful degree: a correlation of 0.48 leaves real independence between the two, which historically damped combined volatility.

What does a correlation of 0.48 mean?

Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.

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J vs XLF: 3-year weekly correlation 0.48J vs XLF0.48

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Hubs: J correlations · XLF correlations