JHI vs VXZ: Correlation
John Hancock Investors Trust (JHI) 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 -0.53.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JHI and VXZ?
Across a 3-year window, the weekly returns of JHI and VXZ correlate at -0.53, negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.61 over 1 year against -0.53 over 3. Stretching to 5 years gives -0.46, with an annualized covariance of -126.6 %².
Out of 33 assets tracked against JHI, VXZ lands near the bottom at #33. Correlation aside, the last 12 months split them widely, with JHI ahead by 18.4 points (+2.3% versus -16.1%). Risk is not evenly split, since VXZ carries 2.8 times the volatility of the other side.
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.
JHI vs VXZ: side by side
| JHI (John Hancock Investors Trust) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +2.3% | -16.1% |
| 5-year return | +3.7% | -53.1% |
| Volatility (ann.) | 9.3% | 25.6% |
| Beta vs S&P 500 | 0.37 | -1.31 |
| Max drawdown (3Y) | -11.2% | -36.4% |
| Market cap | – | – |
| P/E (trailing) | 8.6 | – |
| Dividend yield | 9.37% | – |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JHI | VXZ |
|---|---|---|
| 2022 | -29.5% | +0.5% |
| 2023 | +10.6% | -44.0% |
| 2024 | +14.4% | -12.7% |
| 2025 | +9.1% | +5.7% |
| 2026 | +1.0% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JHI and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.53 means the two rarely move for the same reasons.
FAQ
What is the correlation between JHI and VXZ?
Using weekly returns as of 2026-08-27: -0.53 over 3 years, with -0.61 over the last year and -0.46 over 5 years.
Is VXZ a good diversifier for JHI?
By historical standards, yes. A correlation of -0.53 means the two rarely move for the same reasons.
What does a correlation of -0.53 mean?
A reading of -0.53 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/jhi-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jhi-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: JHI correlations · VXZ correlations
