HLMN vs VXZ: Correlation
Hillman Solutions Corp. (HLMN) 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 -0.39.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are HLMN and VXZ?
Over the past 3 years, HLMN and VXZ moved with a correlation of -0.39, which is negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.21) runs above the 3-year figure (-0.39). Over 5 years the correlation is -0.39, and the annualized covariance of weekly returns is -365.6 %².
Out of 19 assets tracked against HLMN, VXZ lands near the bottom at #19. Over the last 12 months VXZ came out ahead by 5.2 percentage points (-21.3% 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.
HLMN vs VXZ: side by side
| HLMN (Hillman Solutions Corp.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | -21.3% | -16.1% |
| 5-year return | -33.4% | -53.1% |
| Volatility (ann.) | 36.7% | 25.6% |
| Beta vs S&P 500 | 1.01 | -1.31 |
| Max drawdown (3Y) | -42.3% | -36.4% |
| Market cap | $1.5B | – |
| P/E (trailing) | 39.2 | – |
| Dividend yield | 0.00% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | HLMN | VXZ |
|---|---|---|
| 2022 | -32.9% | +0.5% |
| 2023 | +27.7% | -44.0% |
| 2024 | +5.8% | -12.7% |
| 2025 | -11.1% | +5.7% |
| 2026 | -9.4% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are HLMN and VXZ good diversifiers for each other?
Yes. With a correlation of -0.39, HLMN and VXZ have moved largely independently, which makes them a genuinely diversifying pair by historical standards.
FAQ
What is the correlation between HLMN and VXZ?
As of 2026-08-27, the correlation of weekly returns between HLMN and VXZ is -0.39 over 3 years, -0.21 over 1 year and -0.39 over 5 years.
Is VXZ a good diversifier for HLMN?
Yes. With a correlation of -0.39, HLMN and VXZ have moved largely independently, which makes them a genuinely diversifying pair by historical standards.
What does a correlation of -0.39 mean?
A reading of -0.39 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/hlmn-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/hlmn-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: HLMN correlations · VXZ correlations
