BANF vs VXZ: Correlation
How closely do BancFirst Corporation (BANF) 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 -0.43, which is negative.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are BANF and VXZ?
On 3 years of weekly data the BANF/VXZ correlation comes out at -0.43, 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 -0.43 over 3 years. The 5-year figure is -0.39, and annualized covariance runs at -310.8 %².
Out of 16 assets tracked against BANF, VXZ lands near the bottom at #16. Their 12-month results are close: -16.1% for BANF against -16.1% for VXZ.
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.
BANF vs VXZ: side by side
| BANF (BancFirst Corporation) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | -16.1% | -16.1% |
| 5-year return | +116.0% | -53.1% |
| Volatility (ann.) | 28.2% | 25.6% |
| Beta vs S&P 500 | 0.72 | -1.31 |
| Max drawdown (3Y) | -23.6% | -36.4% |
| Market cap | $3.7B | – |
| P/E (trailing) | 14.9 | – |
| Dividend yield | 1.75% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | BANF | VXZ |
|---|---|---|
| 2022 | +27.1% | +0.5% |
| 2023 | +12.4% | -44.0% |
| 2024 | +22.6% | -12.7% |
| 2025 | -8.0% | +5.7% |
| 2026 | +5.1% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are BANF and VXZ good diversifiers for each other?
Yes: at -0.43, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between BANF and VXZ?
Using weekly returns as of 2026-08-27: -0.43 over 3 years, with -0.27 over the last year and -0.39 over 5 years.
Is VXZ a good diversifier for BANF?
Yes: at -0.43, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.43 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/banf-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/banf-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
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Hubs: BANF correlations · VXZ correlations