PairBook
HomeMDY › MDY vs XLF

MDY vs XLF: Correlation & Overlap

How closely do SPDR S&P MidCap 400 ETF (MDY) and Financial Select Sector SPDR Fund (XLF) trade together? Their weekly returns over three years give a correlation of 0.79, which is strong. The two funds also share 0% of their portfolios by weight.

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

Correlation (3Y)
0.79
strong
Correlation (1Y)
0.57
last 12 months
Correlation (5Y)
0.83
long-run
Holdings overlap
0%
0 common holdings

How correlated are MDY and XLF?

Across a 3-year window, the weekly returns of MDY and XLF correlate at 0.79, strong. The past 12 months show a weaker link (0.57) than the 3-year average (0.79). Stretching to 5 years gives 0.83, with an annualized covariance of 209.7 %².

By 3-year correlation, XLF places #25 of the 359 assets tracked against MDY. On 12-month performance MDY holds a 9.0-point edge, +18.3% against +9.3%. On a rolling one-year basis the correlation drifted between 0.58 and 0.92, a moderate band.

+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.

MDY vs XLF: side by side

MDY (SPDR S&P MidCap 400 ETF)XLF (Financial Select Sector SPDR Fund)
1-year return+18.3%+9.3%
5-year return+47.5%+64.2%
Volatility (ann.)16.5%16.2%
Beta vs S&P 5000.910.84
Max drawdown (3Y)-24.0%-15.5%
Dividend yield1.02%1.42%
Expense ratio0.23%0.08%
Assets under management$26.5B$57.9B
Sector / categoryETF · US Small & Mid CapSector ETF
Lower fee: XLF 0.08% vs 0.23%Higher yield: XLF 1.42% vs 1.02%Smaller drawdown: XLF -15.5% vs -24.0%Higher 5y return: XLF +64.2% vs +47.5%

MDY, State Street Investment Management's Mid-Cap Blend fund, carries $26.5B under management, 400 holdings, a 0.23% expense ratio, a 1.02% trailing dividend yield. 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.

-9%0%+20%2025-09-052026-08-27
Price paths over the last 12 months, both indexed to 100 at the start (weekly closes). MDY · XLF

Portfolio overlap between MDY and XLF

The two portfolios are largely distinct. Weighing the shared positions, 0% of the two funds is identical, spread across 0 common holdings. That shared book is a large part of why the returns line up.

Largest positions held only by MDY: TWLO (0.95%), P (0.94%), ILMN (0.93%), FTI (0.83%), ATI (0.80%). Only by XLF: JPM (11.61%), BRK.B (11.25%), V (7.74%), MA (5.87%), BAC (4.94%).

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

Year-by-year returns

YearMDYXLF
2022-13.3%-10.6%
2023+16.1%+12.0%
2024+13.6%+30.6%
2025+7.2%+14.9%
2026+16.4%+6.6%

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

Are MDY and XLF good diversifiers for each other?

Somewhat, no more. With 0.79 correlation, most large moves hit both names, and the diversification benefit stays modest.

FAQ

What is the correlation between MDY and XLF?

Using weekly returns as of 2026-08-27: 0.79 over 3 years, with 0.57 over the last year and 0.83 over 5 years.

Is XLF a good diversifier for MDY?

Somewhat, no more. With 0.79 correlation, most large moves hit both names, and the diversification benefit stays modest.

How much do MDY and XLF overlap?

Per the issuers' own portfolio disclosures (2026-08-26), the overlap is 0% by weight over 0 common positions.

Use this data

JSON API · no key required
$ curl https://www.pairbook.io/api/v1/pairs/mdy-vs-xlf.json

MDY vs XLF: 3-year weekly correlation 0.79MDY vs XLF0.79

Embed this badge (it refreshes with the data), with attribution:

[![MDY vs XLF correlation](https://www.pairbook.io/api/v1/badge/mdy-vs-xlf.svg)](https://www.pairbook.io/pair/mdy-vs-xlf/)

Free with attribution; caching and terms are described in the API documentation.

Related comparisons

Hubs: MDY correlations · XLF correlations