MYO vs VXZ: Correlation
How closely do Myomo Inc. (MYO) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) trade together? Their weekly returns over three years give a correlation of -0.35, which is negative.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MYO and VXZ?
Over the past 3 years, MYO and VXZ moved with a correlation of -0.35, which is negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.18) runs above the 3-year figure (-0.35). Over 5 years the correlation is -0.31, and the annualized covariance of weekly returns is -885.1 %².
VXZ is close to the least connected end of MYO's tracked universe, ranking #10 of 10. Their recent paths diverged sharply: over the last 12 months MYO outperformed by 64.3 percentage points (+48.2% for MYO against -16.1% for VXZ). One caveat on sizing: MYO is 3.9 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.
MYO vs VXZ: side by side
| MYO (Myomo Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +48.2% | -16.1% |
| 5-year return | -84.2% | -53.1% |
| Volatility (ann.) | 99.7% | 25.6% |
| Beta vs S&P 500 | 1.92 | -1.31 |
| Max drawdown (3Y) | -90.8% | -36.4% |
| Market cap | $0.1B | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | MYO | VXZ |
|---|---|---|
| 2022 | -92.5% | +0.5% |
| 2023 | +880.4% | -44.0% |
| 2024 | +28.5% | -12.7% |
| 2025 | -85.9% | +5.7% |
| 2026 | +82.4% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MYO and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.35 means the two rarely move for the same reasons.
FAQ
What is the correlation between MYO and VXZ?
As of 2026-08-27, the correlation of weekly returns between MYO and VXZ is -0.35 over 3 years, -0.18 over 1 year and -0.31 over 5 years.
Is VXZ a good diversifier for MYO?
By historical standards, yes. A correlation of -0.35 means the two rarely move for the same reasons.
What does a correlation of -0.35 mean?
A reading of -0.35 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/myo-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/myo-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: MYO correlations · VXZ correlations
