EXP vs KNF: Correlation
How closely do Eagle Materials Inc (EXP) and Knife Riv Holding Co. (KNF) trade together? Their weekly returns over three years give a correlation of 0.62, which is strong.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are EXP and KNF?
On 3 years of weekly data the EXP/KNF correlation comes out at 0.62, strong. Recent behaviour matches the longer record: 0.57 over 1 year against 0.62 over 3. The 5-year figure is n/a, and annualized covariance runs at 874.5 %².
Within EXP's tracked universe of 24 assets, KNF comes in at #13 by 3-year correlation. Neither side won the trailing year by much: -15.7% against -19.6%.
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.
EXP vs KNF: side by side
| EXP (Eagle Materials Inc) | KNF (Knife Riv Holding Co.) | |
|---|---|---|
| 1-year return | -15.7% | -19.6% |
| 5-year return | +29.5% | n/a |
| Volatility (ann.) | 34.8% | 40.3% |
| Beta vs S&P 500 | 1.21 | 1.06 |
| Max drawdown (3Y) | -44.7% | -44.2% |
| Market cap | $6.1B | $3.8B |
| P/E (trailing) | 15.6 | 27.2 |
| Dividend yield | 0.50% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | EXP | KNF |
|---|---|---|
| 2022 | -19.6% | – |
| 2023 | +53.6% | – |
| 2024 | +22.1% | +53.6% |
| 2025 | -15.9% | -30.8% |
| 2026 | -4.1% | -5.4% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are EXP and KNF good diversifiers for each other?
To a limited degree. At 0.62 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.
FAQ
What is the correlation between EXP and KNF?
As of 2026-08-27, the correlation of weekly returns between EXP and KNF is 0.62 over 3 years, 0.57 over 1 year and n/a over 5 years.
Is KNF a good diversifier for EXP?
To a limited degree. At 0.62 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.
What does a correlation of 0.62 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/exp-vs-knf.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/exp-vs-knf/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: EXP correlations · KNF correlations
