GFS vs MXL: Correlation
GlobalFoundries Inc. (GFS) and MaxLinear, Inc (MXL) show a moderate relationship: their 3-year correlation of weekly returns is 0.52.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GFS and MXL?
Across a 3-year window, the weekly returns of GFS and MXL correlate at 0.52, moderate. Little has changed lately, as the 1-year reading of 0.52 lands near the 3-year figure. Stretching to 5 years gives 0.46, with an annualized covariance of 2466.2 %².
MXL is close to the least connected end of GFS's tracked universe, ranking #13 of 17. The last year tells two different stories: MXL led by 242.3 percentage points, +36.6% for GFS against +278.9% for MXL. Risk is not evenly split, since MXL carries 2.3 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.
GFS vs MXL: side by side
| GFS (GlobalFoundries Inc.) | MXL (MaxLinear, Inc) | |
|---|---|---|
| 1-year return | +36.6% | +278.9% |
| 5-year return | +0.0% | +19.8% |
| Volatility (ann.) | 44.9% | 105.2% |
| Beta vs S&P 500 | 1.69 | 2.50 |
| Max drawdown (3Y) | -51.2% | -63.9% |
| Market cap | $25.4B | $5.8B |
| P/E (trailing) | 35.6 | – |
| Dividend yield | 0.26% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | GFS | MXL |
|---|---|---|
| 2022 | -17.1% | -55.0% |
| 2023 | +12.5% | -30.0% |
| 2024 | -29.2% | -16.8% |
| 2025 | -18.6% | -11.9% |
| 2026 | +32.9% | +263.9% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GFS and MXL good diversifiers for each other?
To a limited degree. At 0.52 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 GFS and MXL?
Using weekly returns as of 2026-08-27: 0.52 over 3 years, with 0.52 over the last year and 0.46 over 5 years.
Is MXL a good diversifier for GFS?
To a limited degree. At 0.52 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 0.52 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/gfs-vs-mxl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gfs-vs-mxl/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: GFS correlations · MXL correlations
