PairBook
HomeGS › GS vs SF

GS vs SF: Correlation

Measured on weekly returns over the past three years, Goldman Sachs (GS) and Stifel Financial Corporation (SF) carry a correlation of 0.76, a strong link.

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

Correlation (3Y)
0.76
strong
Correlation (1Y)
0.52
last 12 months
Correlation (5Y)
0.74
long-run
Ann. covariance
553.6
%² · weekly, annualized

How correlated are GS and SF?

Over the past 3 years, GS and SF moved with a correlation of 0.76, which is strong. Lately the two have drifted apart, with the 1-year correlation at 0.52 versus 0.76 over 3 years. Over 5 years the correlation is 0.74, and the annualized covariance of weekly returns is 553.6 %².

Within GS's tracked universe of 41 assets, SF comes in at #10 by 3-year correlation. The last year tells two different stories: GS led by 35.6 percentage points, +41.6% for GS against +6.0% for SF.

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.

GS vs SF: side by side

GS (Goldman Sachs)SF (Stifel Financial Corporation)
1-year return+41.6%+6.0%
5-year return+184.1%+92.0%
Volatility (ann.)27.0%27.2%
Beta vs S&P 5001.341.23
Max drawdown (3Y)-30.9%-34.7%
Market cap$303.1B$12.2B
P/E (trailing)16.114.4
Dividend yield1.63%1.59%
Sector / categoryFinancialsUS Listed
Lower P/E: SF 14.4 vs 16.1Higher yield: GS 1.63% vs 1.59%Smaller drawdown: GS -30.9% vs -34.7%Higher 5y return: GS +184.1% vs +92.0%
-6%0%+51%2025-09-052026-08-27
Price paths over the last 12 months, both indexed to 100 at the start (weekly closes). GS · SF

Year-by-year returns

YearGSSF
2022-7.9%-15.6%
2023+15.9%+21.2%
2024+52.0%+56.4%
2025+56.6%+20.1%
2026+19.6%-2.3%

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

Are GS and SF good diversifiers for each other?

Only partially. A correlation of 0.76 means GS and SF share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.

FAQ

What is the correlation between GS and SF?

The GS/SF correlation stands at 0.76 on a 3-year window (1 year: 0.52, 5 years: 0.74), computed from weekly returns as of 2026-08-27.

Is SF a good diversifier for GS?

Only partially. A correlation of 0.76 means GS and SF share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.

What does a correlation of 0.76 mean?

A reading of 0.76 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.

Use this data

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

GS vs SF: 3-year weekly correlation 0.76GS vs SF0.76

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

[![GS vs SF correlation](https://www.pairbook.io/api/v1/badge/gs-vs-sf.svg)](https://www.pairbook.io/pair/gs-vs-sf/)

No key needed, free to use. Full endpoint list in the API documentation.

Related comparisons

Hubs: GS correlations · SF correlations