MRTN vs R: Correlation
How closely do Marten Transport, Ltd. (MRTN) and Ryder System, Inc. (R) trade together? Their weekly returns over three years give a correlation of 0.67, which is strong.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MRTN and R?
On 3 years of weekly data the MRTN/R correlation comes out at 0.67, strong. Recent behaviour matches the longer record: 0.65 over 1 year against 0.67 over 3. The 5-year figure is 0.61, and annualized covariance runs at 593.7 %².
Among the 21 assets we track against MRTN, R ranks #10 by 3-year correlation. Over the last 12 months R came out ahead by 11.5 percentage points (+23.4% against +34.9%).
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.
MRTN vs R: side by side
| MRTN (Marten Transport, Ltd.) | R (Ryder System, Inc.) | |
|---|---|---|
| 1-year return | +23.4% | +34.9% |
| 5-year return | -1.0% | +245.8% |
| Volatility (ann.) | 28.6% | 31.1% |
| Beta vs S&P 500 | 0.78 | 1.09 |
| Max drawdown (3Y) | -54.8% | -23.9% |
| Market cap | $1.2B | $9.5B |
| P/E (trailing) | 96.4 | 20.3 |
| Dividend yield | 1.66% | 1.46% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | MRTN | R |
|---|---|---|
| 2022 | +16.7% | +4.4% |
| 2023 | +7.3% | +41.6% |
| 2024 | -24.6% | +39.5% |
| 2025 | -25.7% | +24.5% |
| 2026 | +28.1% | +31.2% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MRTN and R good diversifiers for each other?
Only partially. A correlation of 0.67 means MRTN and R 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 MRTN and R?
The MRTN/R correlation stands at 0.67 on a 3-year window (1 year: 0.65, 5 years: 0.61), computed from weekly returns as of 2026-08-27.
Is R a good diversifier for MRTN?
Only partially. A correlation of 0.67 means MRTN and R share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
What does a correlation of 0.67 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/mrtn-vs-r.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/mrtn-vs-r/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: MRTN correlations · R correlations