R vs VYM: Correlation
Ryder System, Inc. (R) and Vanguard High Dividend Yield ETF (VYM) show a strong relationship: their 3-year correlation of weekly returns is 0.63.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are R and VYM?
On 3 years of weekly data the R/VYM correlation comes out at 0.63, strong. Lately the two have drifted apart, with the 1-year correlation at 0.51 versus 0.63 over 3 years. The 5-year figure is 0.52, and annualized covariance runs at 242.8 %².
Among the 21 assets we track against R, VYM ranks #5 by 3-year correlation. The trailing year gives R the advantage: +34.9% versus +21.1%, a 13.8-point spread. One caveat on sizing: R is 2.5 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.
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.
R vs VYM: side by side
| R (Ryder System, Inc.) | VYM (Vanguard High Dividend Yield ETF) | |
|---|---|---|
| 1-year return | +34.9% | +21.1% |
| 5-year return | +245.8% | +76.6% |
| Volatility (ann.) | 31.1% | 12.3% |
| Beta vs S&P 500 | 1.09 | 0.69 |
| Max drawdown (3Y) | -23.9% | -14.5% |
| Market cap | $9.5B | – |
| P/E (trailing) | 20.3 | – |
| Dividend yield | 1.46% | 2.24% |
| Expense ratio | – | 0.04% |
| Assets under management | – | $99.2B |
| Sector / category | US Listed | ETF · Dividend |
VYM, Vanguard's Large Value fund, carries $99.2B under management, 604 holdings, a 0.04% expense ratio, a 2.24% trailing dividend yield.
Year-by-year returns
| Year | R | VYM |
|---|---|---|
| 2022 | +4.4% | -0.4% |
| 2023 | +41.6% | +6.6% |
| 2024 | +39.5% | +17.6% |
| 2025 | +24.5% | +15.4% |
| 2026 | +31.2% | +15.9% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are R and VYM good diversifiers for each other?
Only partially. A correlation of 0.63 means R and VYM 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 R and VYM?
Using weekly returns as of 2026-08-27: 0.63 over 3 years, with 0.51 over the last year and 0.52 over 5 years.
Is VYM a good diversifier for R?
Only partially. A correlation of 0.63 means R and VYM share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
What does a correlation of 0.63 mean?
On the −1 to +1 scale, 0.63 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/r-vs-vym.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/r-vs-vym/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: R correlations · VYM correlations