CASY vs DSX: Correlation
Measured on weekly returns over the past three years, Casey's (CASY) and Diana Shipping inc. (DSX) carry a correlation of 0.30, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CASY and DSX?
On 3 years of weekly data the CASY/DSX correlation comes out at 0.30, moderate. The relationship has been stable: the 1-year correlation (0.37) sits close to the 3-year figure. The 5-year figure is 0.21, and annualized covariance runs at 330.5 %².
By 3-year correlation, DSX places #15 of the 30 assets tracked against CASY. The trailing year gives DSX the advantage: +53.7% versus +66.0%, a 12.3-point spread.
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.
CASY vs DSX: side by side
| CASY (Casey's) | DSX (Diana Shipping inc.) | |
|---|---|---|
| 1-year return | +53.7% | +66.0% |
| 5-year return | +284.3% | -10.5% |
| Volatility (ann.) | 28.9% | 38.7% |
| Beta vs S&P 500 | 0.39 | 0.89 |
| Max drawdown (3Y) | -16.6% | -60.1% |
| Market cap | $28.2B | $0.3B |
| P/E (trailing) | 42.2 | 5.5 |
| Dividend yield | 0.28% | 1.50% |
| Sector / category | Consumer Staples | US Listed |
Year-by-year returns
| Year | CASY | DSX |
|---|---|---|
| 2022 | +14.5% | +18.2% |
| 2023 | +23.3% | -15.0% |
| 2024 | +45.0% | -28.1% |
| 2025 | +40.1% | -13.7% |
| 2026 | +38.4% | +64.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CASY and DSX good diversifiers for each other?
Reasonably. At 0.30, CASY and DSX keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between CASY and DSX?
The CASY/DSX correlation stands at 0.30 on a 3-year window (1 year: 0.37, 5 years: 0.21), computed from weekly returns as of 2026-08-27.
Is DSX a good diversifier for CASY?
Reasonably. At 0.30, CASY and DSX keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.30 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/casy-vs-dsx.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/casy-vs-dsx/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: CASY correlations · DSX correlations
