JILL vs VXZ: Correlation
J. Jill, Inc. (JILL) 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 JILL and VXZ?
On 3 years of weekly data the JILL/VXZ correlation comes out at -0.41, negative, meaning they tend to move in opposite directions. The past 12 months show a tighter link (-0.24) than the 3-year average (-0.41). The 5-year figure is -0.37, and annualized covariance runs at -495.8 %².
Out of 14 assets tracked against JILL, VXZ lands near the bottom at #14. Correlation aside, the last 12 months split them widely, with JILL ahead by 34.9 points (+18.8% versus -16.1%). Note the risk asymmetry: JILL runs 1.9 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.
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.
JILL vs VXZ: side by side
| JILL (J. Jill, Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +18.8% | -16.1% |
| 5-year return | -1.2% | -53.1% |
| Volatility (ann.) | 47.4% | 25.6% |
| Beta vs S&P 500 | 1.17 | -1.31 |
| Max drawdown (3Y) | -71.5% | -36.4% |
| Market cap | $0.3B | – |
| P/E (trailing) | 14.5 | – |
| Dividend yield | 1.66% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JILL | VXZ |
|---|---|---|
| 2022 | +29.3% | +0.5% |
| 2023 | +4.0% | -44.0% |
| 2024 | +7.9% | -12.7% |
| 2025 | -49.3% | +5.7% |
| 2026 | +46.5% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JILL and VXZ good diversifiers for each other?
Yes: at -0.41, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between JILL and VXZ?
As of 2026-08-27, the correlation of weekly returns between JILL and VXZ is -0.41 over 3 years, -0.24 over 1 year and -0.37 over 5 years.
Is VXZ a good diversifier for JILL?
Yes: at -0.41, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.41 mean?
A reading of -0.41 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/jill-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jill-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: JILL correlations · VXZ correlations
