PairBook
HomeDIA › DIA vs MS

DIA vs MS: Correlation

How closely do SPDR Dow Jones Industrial Average ETF (DIA) and Morgan Stanley (MS) trade together? Their weekly returns over three years give a correlation of 0.77, which is strong.

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

Correlation (3Y)
0.77
strong
Correlation (1Y)
0.66
last 12 months
Correlation (5Y)
0.73
long-run
Ann. covariance
285.8
%² · weekly, annualized

How correlated are DIA and MS?

Across a 3-year window, the weekly returns of DIA and MS correlate at 0.77, strong. The link has loosened recently: the 1-year correlation (0.66) runs below the 3-year figure (0.77). Stretching to 5 years gives 0.73, with an annualized covariance of 285.8 %².

Within DIA's tracked universe of 116 assets, MS comes in at #21 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months MS outperformed by 27.9 percentage points (+19.2% for DIA against +47.1% for MS). On a rolling one-year basis the correlation drifted between 0.62 and 0.88, a moderate band. One caveat on sizing: MS is 2.2 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.

+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 MS: side by side

DIA (SPDR Dow Jones Industrial Average ETF)MS (Morgan Stanley)
1-year return+19.2%+47.1%
5-year return+64.8%+142.0%
Volatility (ann.)13.0%28.3%
Beta vs S&P 5000.791.43
Max drawdown (3Y)-16.0%-29.2%
Market cap$337.5B
P/E (trailing)17.4
Dividend yield1.37%1.94%
Expense ratio0.16%
Assets under management$45.2B
Sector / categoryETF · US Large CapFinancials
Higher yield: MS 1.94% vs 1.37%Smaller drawdown: DIA -16.0% vs -29.2%Higher 5y return: MS +142.0% vs +64.8%

On the fund side, DIA sits in the Large Value category at State Street Investment Management, with $45.2B under management, 30 holdings, a 0.16% expense ratio, a 1.37% trailing dividend yield.

0%+53%2025-09-052026-08-27
Twelve months of weekly closes, each series rebased to 100. DIA · MS

Year-by-year returns

YearDIAMS
2022-7.0%-10.3%
2023+16.0%+13.9%
2024+14.8%+39.7%
2025+14.7%+45.2%
2026+12.3%+23.0%

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

Are DIA and MS good diversifiers for each other?

To a limited degree. At 0.77 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 DIA and MS?

The DIA/MS correlation stands at 0.77 on a 3-year window (1 year: 0.66, 5 years: 0.73), computed from weekly returns as of 2026-08-27.

Is MS a good diversifier for DIA?

To a limited degree. At 0.77 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.

What does a correlation of 0.77 mean?

On the −1 to +1 scale, 0.77 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.

Use this data

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

DIA vs MS: 3-year weekly correlation 0.77DIA vs MS0.77

Drop this badge in a README or notebook; it updates with the data:

[![DIA vs MS correlation](https://www.pairbook.io/api/v1/badge/dia-vs-ms.svg)](https://www.pairbook.io/pair/dia-vs-ms/)

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

Related comparisons

Hubs: DIA correlations · MS correlations