META vs VXZ: Correlation
Meta Platforms (META) 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 -0.29.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are META and VXZ?
On 3 years of weekly data the META/VXZ correlation comes out at -0.29, negative, meaning they tend to move in opposite directions. Lately the two have drifted apart, with the 1-year correlation at -0.45 versus -0.29 over 3 years. The 5-year figure is -0.29, and annualized covariance runs at -276.9 %².
VXZ is close to the least connected end of META's tracked universe, ranking #31 of 33. The trailing year gives VXZ the advantage: -23.3% versus -16.1%, a 7.2-point spread.
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.
META vs VXZ: side by side
| META (Meta Platforms) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | -23.3% | -16.1% |
| 5-year return | +51.3% | -53.1% |
| Volatility (ann.) | 36.9% | 25.6% |
| Beta vs S&P 500 | 1.45 | -1.31 |
| Max drawdown (3Y) | -34.2% | -36.4% |
| Market cap | $1,454.9B | – |
| P/E (trailing) | 21.7 | – |
| Dividend yield | 0.36% | – |
| Sector / category | Communication Services | US Listed |
Year-by-year returns
| Year | META | VXZ |
|---|---|---|
| 2022 | -64.2% | +0.5% |
| 2023 | +194.1% | -44.0% |
| 2024 | +66.0% | -12.7% |
| 2025 | +13.1% | +5.7% |
| 2026 | -13.3% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are META and VXZ good diversifiers for each other?
Yes: at -0.29, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between META and VXZ?
As of 2026-08-27, the correlation of weekly returns between META and VXZ is -0.29 over 3 years, -0.45 over 1 year and -0.29 over 5 years.
Is VXZ a good diversifier for META?
Yes: at -0.29, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.29 mean?
A reading of -0.29 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/meta-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/meta-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: META correlations · VXZ correlations
