A vs VXZ: Correlation
Measured on weekly returns over the past three years, Agilent Technologies (A) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.33, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are A and VXZ?
Over the past 3 years, A and VXZ moved with a correlation of -0.33, which is negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.27 over 1 year against -0.33 over 3. Over 5 years the correlation is -0.39, and the annualized covariance of weekly returns is -263.4 %².
Among the 33 assets we track against A, VXZ sits near the bottom by co-movement, at rank #32. Their recent paths diverged sharply: over the last 12 months A outperformed by 50.0 percentage points (+33.9% for A 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.
A vs VXZ: side by side
| A (Agilent Technologies) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +33.9% | -16.1% |
| 5-year return | -7.5% | -53.1% |
| Volatility (ann.) | 31.0% | 25.6% |
| Beta vs S&P 500 | 0.98 | -1.31 |
| Max drawdown (3Y) | -35.3% | -36.4% |
| Market cap | $44.5B | – |
| P/E (trailing) | 30.6 | – |
| Dividend yield | 0.00% | – |
| Sector / category | Health Care | US Listed |
Year-by-year returns
| Year | A | VXZ |
|---|---|---|
| 2022 | -5.5% | +0.5% |
| 2023 | -6.4% | -44.0% |
| 2024 | -2.7% | -12.7% |
| 2025 | +1.9% | +5.7% |
| 2026 | +16.6% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are A and VXZ good diversifiers for each other?
Yes: at -0.33, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between A and VXZ?
Using weekly returns as of 2026-08-27: -0.33 over 3 years, with -0.27 over the last year and -0.39 over 5 years.
Is VXZ a good diversifier for A?
Yes: at -0.33, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.33 mean?
On the −1 to +1 scale, -0.33 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/a-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/a-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: A correlations · VXZ correlations
