GUG vs JHI: Correlation
How closely do Guggenheim Active Allocation Fund (GUG) and John Hancock Investors Trust (JHI) trade together? Their weekly returns over three years give a correlation of 0.63, which is strong.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GUG and JHI?
On 3 years of weekly data the GUG/JHI correlation comes out at 0.63, strong. Recent behaviour matches the longer record: 0.60 over 1 year against 0.63 over 3. The 5-year figure is 0.66, and annualized covariance runs at 75.4 %².
Within GUG's tracked universe of 12 assets, JHI comes in at #5 by 3-year correlation. Their 12-month results are close: +5.4% for GUG against +2.3% for JHI.
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.
GUG vs JHI: side by side
| GUG (Guggenheim Active Allocation Fund) | JHI (John Hancock Investors Trust) | |
|---|---|---|
| 1-year return | +5.4% | +2.3% |
| 5-year return | +16.3% | +3.7% |
| Volatility (ann.) | 12.9% | 9.3% |
| Beta vs S&P 500 | 0.40 | 0.37 |
| Max drawdown (3Y) | -12.1% | -11.2% |
| Market cap | $0.5B | – |
| P/E (trailing) | 9.1 | 8.6 |
| Dividend yield | 0.00% | 9.37% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | GUG | JHI |
|---|---|---|
| 2022 | -26.5% | -29.5% |
| 2023 | +20.7% | +10.6% |
| 2024 | +11.5% | +14.4% |
| 2025 | +13.1% | +9.1% |
| 2026 | +4.2% | +1.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GUG and JHI good diversifiers for each other?
Only partially. A correlation of 0.63 means GUG and JHI share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
FAQ
What is the correlation between GUG and JHI?
The GUG/JHI correlation stands at 0.63 on a 3-year window (1 year: 0.60, 5 years: 0.66), computed from weekly returns as of 2026-08-27.
Is JHI a good diversifier for GUG?
Only partially. A correlation of 0.63 means GUG and JHI share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
What does a correlation of 0.63 mean?
A reading of 0.63 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/gug-vs-jhi.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/gug-vs-jhi/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: GUG correlations · JHI correlations
