EFOR vs MXL: Correlation
Measured on weekly returns over the past three years, Everforth, Inc. (EFOR) and MaxLinear, Inc (MXL) carry a correlation of -0.29, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are EFOR and MXL?
On 3 years of weekly data the EFOR/MXL correlation comes out at -0.29, negative, meaning they tend to move in opposite directions. The past 12 months show a weaker link (-0.52) than the 3-year average (-0.29). The 5-year figure is -0.16, and annualized covariance runs at -1684.6 %².
MXL is close to the least connected end of EFOR's tracked universe, ranking #11 of 12. Correlation aside, the last 12 months split them widely, with MXL ahead by 319.6 points (-40.7% versus +278.9%). One caveat on sizing: MXL is 1.9 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.
EFOR vs MXL: side by side
| EFOR (Everforth, Inc.) | MXL (MaxLinear, Inc) | |
|---|---|---|
| 1-year return | -40.7% | +278.9% |
| 5-year return | -71.9% | +19.8% |
| Volatility (ann.) | 54.8% | 105.2% |
| Beta vs S&P 500 | 0.83 | 2.50 |
| Max drawdown (3Y) | -83.7% | -63.9% |
| Market cap | $1.3B | $5.8B |
| P/E (trailing) | 16.2 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | EFOR | MXL |
|---|---|---|
| 2022 | -34.0% | -55.0% |
| 2023 | +18.0% | -30.0% |
| 2024 | -13.3% | -16.8% |
| 2025 | -42.2% | -11.9% |
| 2026 | -34.3% | +263.9% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are EFOR and MXL good diversifiers for each other?
By historical standards, yes. A correlation of -0.29 means the two rarely move for the same reasons.
FAQ
What is the correlation between EFOR and MXL?
Using weekly returns as of 2026-08-27: -0.29 over 3 years, with -0.52 over the last year and -0.16 over 5 years.
Is MXL a good diversifier for EFOR?
By historical standards, yes. A correlation of -0.29 means the two rarely move for the same reasons.
What does a correlation of -0.29 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/efor-vs-mxl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/efor-vs-mxl/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: EFOR correlations · MXL correlations
