JMSB vs VXZ: Correlation
How closely do John Marshall Bancorp, Inc. (JMSB) 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 -0.41, which is negative.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JMSB and VXZ?
Across a 3-year window, the weekly returns of JMSB and VXZ correlate at -0.41, negative, meaning they tend to move in opposite directions. The past 12 months show a tighter link (-0.20) than the 3-year average (-0.41). Stretching to 5 years gives -0.26, with an annualized covariance of -330.2 %².
VXZ is close to the least connected end of JMSB's tracked universe, ranking #10 of 10. Correlation aside, the last 12 months split them widely, with JMSB ahead by 29.9 points (+13.8% 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.
JMSB vs VXZ: side by side
| JMSB (John Marshall Bancorp, Inc.) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +13.8% | -16.1% |
| 5-year return | +32.1% | -53.1% |
| Volatility (ann.) | 31.7% | 25.6% |
| Beta vs S&P 500 | 0.65 | -1.31 |
| Max drawdown (3Y) | -45.4% | -36.4% |
| Market cap | $0.3B | – |
| P/E (trailing) | 13.1 | – |
| Dividend yield | 0.79% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JMSB | VXZ |
|---|---|---|
| 2022 | +45.8% | +0.5% |
| 2023 | -20.8% | -44.0% |
| 2024 | -9.7% | -12.7% |
| 2025 | +1.2% | +5.7% |
| 2026 | +14.5% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JMSB 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 JMSB and VXZ?
As of 2026-08-27, the correlation of weekly returns between JMSB and VXZ is -0.41 over 3 years, -0.20 over 1 year and -0.26 over 5 years.
Is VXZ a good diversifier for JMSB?
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?
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/jmsb-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jmsb-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: JMSB correlations · VXZ correlations
