UBER vs VXZ: Correlation
Uber (UBER) 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 -0.43.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are UBER and VXZ?
On 3 years of weekly data the UBER/VXZ correlation comes out at -0.43, negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.36 lands near the 3-year figure. The 5-year figure is -0.38, and annualized covariance runs at -401.5 %².
VXZ is close to the least connected end of UBER's tracked universe, ranking #32 of 34. Twelve-month performance is nearly a tie, at -19.3% for UBER and -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.
UBER vs VXZ: side by side
| UBER (Uber) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | -19.3% | -16.1% |
| 5-year return | +94.4% | -53.1% |
| Volatility (ann.) | 36.7% | 25.6% |
| Beta vs S&P 500 | 1.34 | -1.31 |
| Max drawdown (3Y) | -34.1% | -36.4% |
| Market cap | $157.2B | – |
| P/E (trailing) | 17.2 | – |
| Dividend yield | 0.00% | – |
| Sector / category | Industrials | US Listed |
Year-by-year returns
| Year | UBER | VXZ |
|---|---|---|
| 2022 | -41.0% | +0.5% |
| 2023 | +149.0% | -44.0% |
| 2024 | -2.0% | -12.7% |
| 2025 | +35.5% | +5.7% |
| 2026 | -5.8% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are UBER and VXZ good diversifiers for each other?
Yes: at -0.43, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between UBER and VXZ?
The UBER/VXZ correlation stands at -0.43 on a 3-year window (1 year: -0.36, 5 years: -0.38), computed from weekly returns as of 2026-08-27.
Is VXZ a good diversifier for UBER?
Yes: at -0.43, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.43 mean?
A reading of -0.43 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/uber-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/uber-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: UBER correlations · VXZ correlations
