JHS vs VGI: Correlation
How closely do John Hancock Income Securities Trust (JHS) and Virtus Global Multi-Sector Income Fund (VGI) trade together? Their weekly returns over three years give a correlation of 0.67, which is strong.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JHS and VGI?
On 3 years of weekly data the JHS/VGI correlation comes out at 0.67, strong. The relationship has been stable: the 1-year correlation (0.58) sits close to the 3-year figure. The 5-year figure is 0.68, and annualized covariance runs at 62.4 %².
Few assets follow JHS as closely as VGI, which ranks #1 of 11 tracked partners. Neither side won the trailing year by much: -0.2% against +3.8%.
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.
JHS vs VGI: side by side
| JHS (John Hancock Income Securities Trust) | VGI (Virtus Global Multi-Sector Income Fund) | |
|---|---|---|
| 1-year return | -0.2% | +3.8% |
| 5-year return | -10.6% | +11.9% |
| Volatility (ann.) | 9.0% | 10.3% |
| Beta vs S&P 500 | 0.23 | 0.38 |
| Max drawdown (3Y) | -8.7% | -11.3% |
| Market cap | $0.1B | $0.1B |
| P/E (trailing) | 14.0 | 7.8 |
| Dividend yield | 5.59% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JHS | VGI |
|---|---|---|
| 2022 | -26.5% | -22.3% |
| 2023 | +6.1% | +13.4% |
| 2024 | +8.0% | +10.4% |
| 2025 | +10.2% | +16.1% |
| 2026 | -4.3% | +1.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JHS and VGI good diversifiers for each other?
Somewhat, no more. With 0.67 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between JHS and VGI?
The JHS/VGI correlation stands at 0.67 on a 3-year window (1 year: 0.58, 5 years: 0.68), computed from weekly returns as of 2026-08-27.
Is VGI a good diversifier for JHS?
Somewhat, no more. With 0.67 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.67 mean?
A reading of 0.67 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/jhs-vs-vgi.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jhs-vs-vgi/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: JHS correlations · VGI correlations
