MS vs SF: Correlation
Morgan Stanley (MS) and Stifel Financial Corporation (SF) show a strong relationship: their 3-year correlation of weekly returns is 0.76.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MS and SF?
On 3 years of weekly data the MS/SF correlation comes out at 0.76, strong. Lately the two have drifted apart, with the 1-year correlation at 0.57 versus 0.76 over 3 years. The 5-year figure is 0.74, and annualized covariance runs at 583.1 %².
By 3-year correlation, SF places #8 of the 46 assets tracked against MS. Their recent paths diverged sharply: over the last 12 months MS outperformed by 41.1 percentage points (+47.1% for MS 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.
MS vs SF: side by side
| MS (Morgan Stanley) | SF (Stifel Financial Corporation) | |
|---|---|---|
| 1-year return | +47.1% | +6.0% |
| 5-year return | +142.0% | +92.0% |
| Volatility (ann.) | 28.3% | 27.2% |
| Beta vs S&P 500 | 1.43 | 1.23 |
| Max drawdown (3Y) | -29.2% | -34.7% |
| Market cap | $337.5B | $12.2B |
| P/E (trailing) | 17.4 | 14.4 |
| Dividend yield | 1.94% | 1.59% |
| Sector / category | Financials | US Listed |
Year-by-year returns
| Year | MS | SF |
|---|---|---|
| 2022 | -10.3% | -15.6% |
| 2023 | +13.9% | +21.2% |
| 2024 | +39.7% | +56.4% |
| 2025 | +45.2% | +20.1% |
| 2026 | +23.0% | -2.3% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MS and SF good diversifiers for each other?
Only partially. A correlation of 0.76 means MS 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 MS and SF?
The MS/SF correlation stands at 0.76 on a 3-year window (1 year: 0.57, 5 years: 0.74), computed from weekly returns as of 2026-08-27.
Is SF a good diversifier for MS?
Only partially. A correlation of 0.76 means MS 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
$ curl https://www.pairbook.io/api/v1/pairs/ms-vs-sf.json
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Related comparisons
Hubs: MS correlations · SF correlations
