JCI vs VXZ: Correlation
Johnson Controls (JCI) 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 -0.43.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JCI and VXZ?
On 3 years of weekly data the JCI/VXZ correlation comes out at -0.43, negative, meaning they tend to move in opposite directions. The past 12 months show a tighter link (-0.16) than the 3-year average (-0.43). The 5-year figure is -0.50, and annualized covariance runs at -308.2 %².
Out of 32 assets tracked against JCI, VXZ lands near the bottom at #31. The last year tells two different stories: JCI led by 47.0 percentage points, +30.9% for JCI 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.
JCI vs VXZ: side by side
| JCI (Johnson Controls) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +30.9% | -16.1% |
| 5-year return | +108.2% | -53.1% |
| Volatility (ann.) | 28.1% | 25.6% |
| Beta vs S&P 500 | 0.98 | -1.31 |
| Max drawdown (3Y) | -21.1% | -36.4% |
| Market cap | $86.1B | – |
| P/E (trailing) | 40.1 | – |
| Dividend yield | 1.11% | – |
| Sector / category | Industrials | US Listed |
Year-by-year returns
| Year | JCI | VXZ |
|---|---|---|
| 2022 | -19.3% | +0.5% |
| 2023 | -7.6% | -44.0% |
| 2024 | +39.8% | -12.7% |
| 2025 | +53.0% | +5.7% |
| 2026 | +19.5% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JCI and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.43 means the two rarely move for the same reasons.
FAQ
What is the correlation between JCI and VXZ?
As of 2026-08-27, the correlation of weekly returns between JCI and VXZ is -0.43 over 3 years, -0.16 over 1 year and -0.50 over 5 years.
Is VXZ a good diversifier for JCI?
By historical standards, yes. A correlation of -0.43 means the two rarely move for the same reasons.
What does a correlation of -0.43 mean?
A reading of -0.43 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/jci-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jci-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: JCI correlations · VXZ correlations
