P vs VXZ: Correlation
Measured on weekly returns over the past three years, Everpure, Inc. (P) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.34, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are P and VXZ?
On 3 years of weekly data the P/VXZ correlation comes out at -0.34, negative, meaning they tend to move in opposite directions. Lately the two have moved closer together, with the 1-year correlation at -0.13 versus -0.34 over 3 years. The 5-year figure is -0.32, and annualized covariance runs at -504.3 %².
Out of 10 assets tracked against P, VXZ lands near the bottom at #8. Correlation aside, the last 12 months split them widely, with P ahead by 79.2 points (+63.1% versus -16.1%). One caveat on sizing: P is 2.3 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.
P vs VXZ: side by side
| P (Everpure, Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +63.1% | -16.1% |
| 5-year return | +288.3% | -53.1% |
| Volatility (ann.) | 58.7% | 25.6% |
| Beta vs S&P 500 | 2.05 | -1.31 |
| Max drawdown (3Y) | -48.6% | -36.4% |
| Market cap | – | – |
| P/E (trailing) | 135.9 | – |
| Dividend yield | 0.00% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | P | VXZ |
|---|---|---|
| 2022 | -17.8% | +0.5% |
| 2023 | +33.3% | -44.0% |
| 2024 | +72.3% | -12.7% |
| 2025 | +9.1% | +5.7% |
| 2026 | +48.1% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are P and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.34 means the two rarely move for the same reasons.
FAQ
What is the correlation between P and VXZ?
Using weekly returns as of 2026-08-27: -0.34 over 3 years, with -0.13 over the last year and -0.32 over 5 years.
Is VXZ a good diversifier for P?
By historical standards, yes. A correlation of -0.34 means the two rarely move for the same reasons.
What does a correlation of -0.34 mean?
On the −1 to +1 scale, -0.34 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/p-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/p-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: P correlations · VXZ correlations
