MA vs STEW: Correlation
Measured on weekly returns over the past three years, Mastercard (MA) and SRH Total Return Fund, Inc. (STEW) carry a correlation of 0.62, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MA and STEW?
Over the past 3 years, MA and STEW moved with a correlation of 0.62, which is strong. Little has changed lately, as the 1-year reading of 0.58 lands near the 3-year figure. Over 5 years the correlation is 0.64, and the annualized covariance of weekly returns is 169.7 %².
By 3-year correlation, STEW places #10 of the 46 assets tracked against MA. Twelve-month performance is nearly a tie, at +0.8% for MA and +5.2% for STEW.
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.
MA vs STEW: side by side
| MA (Mastercard) | STEW (SRH Total Return Fund, Inc.) | |
|---|---|---|
| 1-year return | +0.8% | +5.2% |
| 5-year return | +72.6% | +61.2% |
| Volatility (ann.) | 19.3% | 14.1% |
| Beta vs S&P 500 | 0.77 | 0.67 |
| Max drawdown (3Y) | -20.9% | -10.5% |
| Market cap | $518.4B | $1.8B |
| P/E (trailing) | 32.9 | 12.1 |
| Dividend yield | 0.56% | 3.91% |
| Sector / category | Financials | US Listed |
Year-by-year returns
| Year | MA | STEW |
|---|---|---|
| 2022 | -2.7% | -7.3% |
| 2023 | +23.4% | +13.5% |
| 2024 | +24.2% | +19.9% |
| 2025 | +9.0% | +20.3% |
| 2026 | +4.2% | +3.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MA and STEW good diversifiers for each other?
To a limited degree. At 0.62 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 MA and STEW?
Using weekly returns as of 2026-08-27: 0.62 over 3 years, with 0.58 over the last year and 0.64 over 5 years.
Is STEW a good diversifier for MA?
To a limited degree. At 0.62 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 0.62 mean?
On the −1 to +1 scale, 0.62 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
$ curl https://www.pairbook.io/api/v1/pairs/ma-vs-stew.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/ma-vs-stew/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: MA correlations · STEW correlations
