SF vs SYF: Correlation
Measured on weekly returns over the past three years, Stifel Financial Corporation (SF) and Synchrony Financial (SYF) carry a correlation of 0.77, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are SF and SYF?
Over the past 3 years, SF and SYF moved with a correlation of 0.77, which is strong. The link has loosened recently: the 1-year correlation (0.58) runs below the 3-year figure (0.77). Over 5 years the correlation is 0.72, and the annualized covariance of weekly returns is 659.7 %².
Among the 24 assets we track against SF, SYF ranks #5 by 3-year correlation. Neither side won the trailing year by much: +6.0% against +7.3%.
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.
SF vs SYF: side by side
| SF (Stifel Financial Corporation) | SYF (Synchrony Financial) | |
|---|---|---|
| 1-year return | +6.0% | +7.3% |
| 5-year return | +92.0% | +81.0% |
| Volatility (ann.) | 27.2% | 31.6% |
| Beta vs S&P 500 | 1.23 | 1.28 |
| Max drawdown (3Y) | -34.7% | -37.7% |
| Market cap | $12.2B | $26.0B |
| P/E (trailing) | 14.4 | 8.2 |
| Dividend yield | 1.59% | 1.50% |
| Sector / category | US Listed | Financials |
Year-by-year returns
| Year | SF | SYF |
|---|---|---|
| 2022 | -15.6% | -27.4% |
| 2023 | +21.2% | +19.8% |
| 2024 | +56.4% | +74.0% |
| 2025 | +20.1% | +30.6% |
| 2026 | -2.3% | -3.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are SF and SYF good diversifiers for each other?
Somewhat, no more. With 0.77 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between SF and SYF?
Using weekly returns as of 2026-08-27: 0.77 over 3 years, with 0.58 over the last year and 0.72 over 5 years.
Is SYF a good diversifier for SF?
Somewhat, no more. With 0.77 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.77 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/sf-vs-syf.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/sf-vs-syf/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: SF correlations · SYF correlations