COF vs MS: Correlation
Measured on weekly returns over the past three years, Capital One (COF) and Morgan Stanley (MS) carry a correlation of 0.74, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are COF and MS?
Across a 3-year window, the weekly returns of COF and MS correlate at 0.74, strong. The relationship has been stable: the 1-year correlation (0.67) sits close to the 3-year figure. Stretching to 5 years gives 0.68, with an annualized covariance of 639.6 %².
By 3-year correlation, MS places #10 of the 29 assets tracked against COF. Correlation aside, the last 12 months split them widely, with MS ahead by 49.1 points (-2.0% versus +47.1%). On a rolling one-year basis the correlation drifted between 0.62 and 0.87, a moderate band.
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.
COF vs MS: side by side
| COF (Capital One) | MS (Morgan Stanley) | |
|---|---|---|
| 1-year return | -2.0% | +47.1% |
| 5-year return | +43.2% | +142.0% |
| Volatility (ann.) | 30.6% | 28.3% |
| Beta vs S&P 500 | 1.28 | 1.43 |
| Max drawdown (3Y) | -31.5% | -29.2% |
| Market cap | $132.9B | $337.5B |
| P/E (trailing) | 12.0 | 17.4 |
| Dividend yield | 1.38% | 1.94% |
| Sector / category | Financials | Financials |
Year-by-year returns
| Year | COF | MS |
|---|---|---|
| 2022 | -34.6% | -10.3% |
| 2023 | +44.3% | +13.9% |
| 2024 | +38.2% | +39.7% |
| 2025 | +37.6% | +45.2% |
| 2026 | -9.6% | +23.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are COF and MS good diversifiers for each other?
Somewhat, no more. With 0.74 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between COF and MS?
The COF/MS correlation stands at 0.74 on a 3-year window (1 year: 0.67, 5 years: 0.68), computed from weekly returns as of 2026-08-27.
Is MS a good diversifier for COF?
Somewhat, no more. With 0.74 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.74 mean?
A reading of 0.74 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/cof-vs-ms.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/cof-vs-ms/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: COF correlations · MS correlations
