PATK vs VXZ: Correlation
Patrick Industries, Inc. (PATK) 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 -0.41.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are PATK and VXZ?
Across a 3-year window, the weekly returns of PATK and VXZ correlate at -0.41, negative, meaning they tend to move in opposite directions. Lately the two have moved closer together, with the 1-year correlation at -0.27 versus -0.41 over 3 years. Stretching to 5 years gives -0.37, with an annualized covariance of -372.7 %².
Among the 16 assets we track against PATK, VXZ sits near the bottom by co-movement, at rank #16. Over the last 12 months VXZ came out ahead by 9.7 percentage points (-25.8% 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.
PATK vs VXZ: side by side
| PATK (Patrick Industries, Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | -25.8% | -16.1% |
| 5-year return | +62.2% | -53.1% |
| Volatility (ann.) | 35.5% | 25.6% |
| Beta vs S&P 500 | 1.04 | -1.31 |
| Max drawdown (3Y) | -42.9% | -36.4% |
| Market cap | $2.7B | – |
| P/E (trailing) | 19.9 | – |
| Dividend yield | 2.16% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | PATK | VXZ |
|---|---|---|
| 2022 | -23.1% | +0.5% |
| 2023 | +69.6% | -44.0% |
| 2024 | +26.5% | -12.7% |
| 2025 | +32.7% | +5.7% |
| 2026 | -22.3% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are PATK and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.41 means the two rarely move for the same reasons.
FAQ
What is the correlation between PATK and VXZ?
The PATK/VXZ correlation stands at -0.41 on a 3-year window (1 year: -0.27, 5 years: -0.37), computed from weekly returns as of 2026-08-27.
Is VXZ a good diversifier for PATK?
By historical standards, yes. A correlation of -0.41 means the two rarely move for the same reasons.
What does a correlation of -0.41 mean?
On the −1 to +1 scale, -0.41 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/patk-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/patk-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: PATK correlations · VXZ correlations
