F vs GM: Correlation
Measured on weekly returns over the past three years, Ford Motor Company (F) and General Motors (GM) carry a correlation of 0.66, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are F and GM?
Across a 3-year window, the weekly returns of F and GM correlate at 0.66, strong. The relationship has been stable: the 1-year correlation (0.63) sits close to the 3-year figure. Stretching to 5 years gives 0.74, with an annualized covariance of 766.4 %².
GM is one of the assets that tracks F most closely: it ranks #1 out of the 35 assets we track against F. Correlation aside, the last 12 months split them widely, with GM ahead by 25.4 points (+22.6% versus +48.0%). On a rolling one-year basis the correlation drifted between 0.59 and 0.89, a moderate band.
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.
F vs GM: side by side
| F (Ford Motor Company) | GM (General Motors) | |
|---|---|---|
| 1-year return | +22.6% | +48.0% |
| 5-year return | +45.8% | +82.5% |
| Volatility (ann.) | 36.1% | 32.2% |
| Beta vs S&P 500 | 1.06 | 0.98 |
| Max drawdown (3Y) | -36.5% | -29.1% |
| Market cap | $55.6B | $77.9B |
| P/E (trailing) | – | 38.6 |
| Dividend yield | 4.32% | 0.76% |
| Sector / category | Consumer Discretionary | Consumer Discretionary |
Year-by-year returns
| Year | F | GM |
|---|---|---|
| 2022 | -42.2% | -42.4% |
| 2023 | +15.8% | +7.9% |
| 2024 | -13.1% | +49.8% |
| 2025 | +42.3% | +54.2% |
| 2026 | +10.0% | +6.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are F and GM good diversifiers for each other?
Somewhat, no more. With 0.66 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between F and GM?
As of 2026-08-27, the correlation of weekly returns between F and GM is 0.66 over 3 years, 0.63 over 1 year and 0.74 over 5 years.
Is GM a good diversifier for F?
Somewhat, no more. With 0.66 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.66 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/f-vs-gm.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/f-vs-gm/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: F correlations · GM correlations
