MGA vs VXZ: Correlation
How closely do Magna International, Inc. (MGA) 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 -0.36, which is negative.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MGA and VXZ?
Across a 3-year window, the weekly returns of MGA and VXZ correlate at -0.36, negative, meaning they tend to move in opposite directions. Lately the two have moved closer together, with the 1-year correlation at -0.15 versus -0.36 over 3 years. Stretching to 5 years gives -0.49, with an annualized covariance of -293.1 %².
VXZ is close to the least connected end of MGA's tracked universe, ranking #17 of 18. Correlation aside, the last 12 months split them widely, with MGA ahead by 61.3 points (+45.2% 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.
MGA vs VXZ: side by side
| MGA (Magna International, Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +45.2% | -16.1% |
| 5-year return | -1.8% | -53.1% |
| Volatility (ann.) | 31.5% | 25.6% |
| Beta vs S&P 500 | 0.87 | -1.31 |
| Max drawdown (3Y) | -45.6% | -36.4% |
| Market cap | $17.6B | – |
| P/E (trailing) | 24.2 | – |
| Dividend yield | 2.98% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | MGA | VXZ |
|---|---|---|
| 2022 | -28.6% | +0.5% |
| 2023 | +8.8% | -44.0% |
| 2024 | -26.3% | -12.7% |
| 2025 | +32.4% | +5.7% |
| 2026 | +26.1% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MGA and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.36 means the two rarely move for the same reasons.
FAQ
What is the correlation between MGA and VXZ?
As of 2026-08-27, the correlation of weekly returns between MGA and VXZ is -0.36 over 3 years, -0.15 over 1 year and -0.49 over 5 years.
Is VXZ a good diversifier for MGA?
By historical standards, yes. A correlation of -0.36 means the two rarely move for the same reasons.
What does a correlation of -0.36 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/mga-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/mga-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: MGA correlations · VXZ correlations
