SMG vs VXZ: Correlation
Measured on weekly returns over the past three years, Scotts Miracle-Gro Company (The) (SMG) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.24, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are SMG and VXZ?
Over the past 3 years, SMG and VXZ moved with a correlation of -0.24, which is negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.28 over 1 year against -0.24 over 3. Over 5 years the correlation is -0.36, and the annualized covariance of weekly returns is -239.2 %².
VXZ is close to the least connected end of SMG's tracked universe, ranking #12 of 12. The last year tells two different stories: SMG led by 17.9 percentage points, +1.8% for SMG against -16.1% for VXZ. One caveat on sizing: SMG is 1.5 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.
SMG vs VXZ: side by side
| SMG (Scotts Miracle-Gro Company (The)) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +1.8% | -16.1% |
| 5-year return | -53.4% | -53.1% |
| Volatility (ann.) | 38.9% | 25.6% |
| Beta vs S&P 500 | 0.76 | -1.31 |
| Max drawdown (3Y) | -47.4% | -36.4% |
| Market cap | $3.5B | – |
| P/E (trailing) | 23.4 | – |
| Dividend yield | 4.30% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | SMG | VXZ |
|---|---|---|
| 2022 | -68.8% | +0.5% |
| 2023 | +36.9% | -44.0% |
| 2024 | +8.3% | -12.7% |
| 2025 | -8.0% | +5.7% |
| 2026 | +7.2% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are SMG and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.24 means the two rarely move for the same reasons.
FAQ
What is the correlation between SMG and VXZ?
The SMG/VXZ correlation stands at -0.24 on a 3-year window (1 year: -0.28, 5 years: -0.36), computed from weekly returns as of 2026-08-27.
Is VXZ a good diversifier for SMG?
By historical standards, yes. A correlation of -0.24 means the two rarely move for the same reasons.
What does a correlation of -0.24 mean?
On the −1 to +1 scale, -0.24 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/smg-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/smg-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: SMG correlations · VXZ correlations
