R vs TJX: Correlation
How closely do Ryder System, Inc. (R) and TJX Companies (TJX) trade together? Their weekly returns over three years give a correlation of 0.45, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are R and TJX?
On 3 years of weekly data the R/TJX correlation comes out at 0.45, moderate. The relationship has been stable: the 1-year correlation (0.41) sits close to the 3-year figure. The 5-year figure is 0.31, and annualized covariance runs at 256.2 %².
Among the 21 assets we track against R, TJX ranks #14 by 3-year correlation. The last year tells two different stories: R led by 35.9 percentage points, +34.9% for R against -1.0% for TJX. Risk is not evenly split, since R carries 1.7 times the volatility of the other side.
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 TJX: side by side
| R (Ryder System, Inc.) | TJX (TJX Companies) | |
|---|---|---|
| 1-year return | +34.9% | -1.0% |
| 5-year return | +245.8% | +98.2% |
| Volatility (ann.) | 31.1% | 18.3% |
| Beta vs S&P 500 | 1.09 | 0.45 |
| Max drawdown (3Y) | -23.9% | -20.1% |
| Market cap | $9.5B | $148.3B |
| P/E (trailing) | 20.3 | 24.9 |
| Dividend yield | 1.46% | 1.32% |
| Sector / category | US Listed | Consumer Discretionary |
Year-by-year returns
| Year | R | TJX |
|---|---|---|
| 2022 | +4.4% | +6.7% |
| 2023 | +41.6% | +19.7% |
| 2024 | +39.5% | +30.6% |
| 2025 | +24.5% | +28.7% |
| 2026 | +31.2% | -11.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are R and TJX good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.45 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between R and TJX?
Using weekly returns as of 2026-08-27: 0.45 over 3 years, with 0.41 over the last year and 0.31 over 5 years.
Is TJX a good diversifier for R?
Yes, to a useful degree: a correlation of 0.45 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.45 mean?
On the −1 to +1 scale, 0.45 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-tjx.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/r-vs-tjx/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: R correlations · TJX correlations
