SGI vs VXZ: Correlation
Measured on weekly returns over the past three years, Somnigroup International Inc. (SGI) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.42, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are SGI and VXZ?
Across a 3-year window, the weekly returns of SGI and VXZ correlate at -0.42, negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.43 lands near the 3-year figure. Stretching to 5 years gives -0.44, with an annualized covariance of -359.8 %².
Out of 19 assets tracked against SGI, VXZ lands near the bottom at #19. On 12-month performance VXZ holds a 9.3-point edge, -25.4% against -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.
SGI vs VXZ: side by side
| SGI (Somnigroup International Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | -25.4% | -16.1% |
| 5-year return | +44.9% | -53.1% |
| Volatility (ann.) | 33.8% | 25.6% |
| Beta vs S&P 500 | 1.02 | -1.31 |
| Max drawdown (3Y) | -37.1% | -36.4% |
| Market cap | $13.1B | – |
| P/E (trailing) | 24.8 | – |
| Dividend yield | 1.02% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | SGI | VXZ |
|---|---|---|
| 2022 | -26.0% | +0.5% |
| 2023 | +50.1% | -44.0% |
| 2024 | +12.3% | -12.7% |
| 2025 | +58.8% | +5.7% |
| 2026 | -29.5% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are SGI and VXZ good diversifiers for each other?
Yes: at -0.42, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between SGI and VXZ?
Using weekly returns as of 2026-08-27: -0.42 over 3 years, with -0.43 over the last year and -0.44 over 5 years.
Is VXZ a good diversifier for SGI?
Yes: at -0.42, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.42 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/sgi-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/sgi-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: SGI correlations · VXZ correlations
