F vs VXZ: Correlation
Ford Motor Company (F) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) show a negative relationship: their 3-year correlation of weekly returns is -0.40.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are F and VXZ?
Across a 3-year window, the weekly returns of F and VXZ correlate at -0.40, negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.41 lands near the 3-year figure. Stretching to 5 years gives -0.48, with an annualized covariance of -368.9 %².
Among the 35 assets we track against F, VXZ sits near the bottom by co-movement, at rank #34. The last year tells two different stories: F led by 38.7 percentage points, +22.6% for F against -16.1% for VXZ.
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 VXZ: side by side
| F (Ford Motor Company) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +22.6% | -16.1% |
| 5-year return | +45.8% | -53.1% |
| Volatility (ann.) | 36.1% | 25.6% |
| Beta vs S&P 500 | 1.06 | -1.31 |
| Max drawdown (3Y) | -36.5% | -36.4% |
| Market cap | $55.6B | – |
| P/E (trailing) | – | – |
| Dividend yield | 4.32% | – |
| Sector / category | Consumer Discretionary | US Listed |
Year-by-year returns
| Year | F | VXZ |
|---|---|---|
| 2022 | -42.2% | +0.5% |
| 2023 | +15.8% | -44.0% |
| 2024 | -13.1% | -12.7% |
| 2025 | +42.3% | +5.7% |
| 2026 | +10.0% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are F and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.40 means the two rarely move for the same reasons.
FAQ
What is the correlation between F and VXZ?
The F/VXZ correlation stands at -0.40 on a 3-year window (1 year: -0.41, 5 years: -0.48), computed from weekly returns as of 2026-08-27.
Is VXZ a good diversifier for F?
By historical standards, yes. A correlation of -0.40 means the two rarely move for the same reasons.
What does a correlation of -0.40 mean?
On the −1 to +1 scale, -0.40 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/f-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/f-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: F correlations · VXZ correlations
