D vs VXZ: Correlation
Measured on weekly returns over the past three years, Dominion Energy (D) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.21, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are D and VXZ?
Across a 3-year window, the weekly returns of D and VXZ correlate at -0.21, negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.09) runs above the 3-year figure (-0.21). Stretching to 5 years gives -0.27, with an annualized covariance of -110.8 %².
VXZ is close to the least connected end of D's tracked universe, ranking #28 of 31. Correlation aside, the last 12 months split them widely, with D ahead by 31.2 points (+15.1% versus -16.1%).
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.
D vs VXZ: side by side
| D (Dominion Energy) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +15.1% | -16.1% |
| 5-year return | +6.1% | -53.1% |
| Volatility (ann.) | 20.5% | 25.6% |
| Beta vs S&P 500 | 0.18 | -1.31 |
| Max drawdown (3Y) | -19.1% | -36.4% |
| Market cap | $58.5B | – |
| P/E (trailing) | 23.2 | – |
| Dividend yield | 3.99% | – |
| Sector / category | Utilities | US Listed |
Year-by-year returns
| Year | D | VXZ |
|---|---|---|
| 2022 | -19.1% | +0.5% |
| 2023 | -19.1% | -44.0% |
| 2024 | +20.4% | -12.7% |
| 2025 | +14.0% | +5.7% |
| 2026 | +15.9% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are D and VXZ good diversifiers for each other?
Yes: at -0.21, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between D and VXZ?
Using weekly returns as of 2026-08-27: -0.21 over 3 years, with -0.09 over the last year and -0.27 over 5 years.
Is VXZ a good diversifier for D?
Yes: at -0.21, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.21 mean?
On the −1 to +1 scale, -0.21 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/d-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/d-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: D correlations · VXZ correlations
