G vs JKHY: Correlation
Genpact Limited (G) and Jack Henry & Associates (JKHY) show a moderate relationship: their 3-year correlation of weekly returns is 0.46.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are G and JKHY?
On 3 years of weekly data the G/JKHY correlation comes out at 0.46, moderate. Lately the two have moved closer together, with the 1-year correlation at 0.69 versus 0.46 over 3 years. The 5-year figure is 0.42, and annualized covariance runs at 356.9 %².
Among the 13 assets we track against G, JKHY ranks #8 by 3-year correlation. The last year tells two different stories: JKHY led by 21.9 percentage points, -16.1% for G against +5.8% for JKHY.
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.
G vs JKHY: side by side
| G (Genpact Limited) | JKHY (Jack Henry & Associates) | |
|---|---|---|
| 1-year return | -16.1% | +5.8% |
| 5-year return | -22.8% | +2.6% |
| Volatility (ann.) | 34.0% | 23.0% |
| Beta vs S&P 500 | 0.61 | 0.21 |
| Max drawdown (3Y) | -49.4% | -35.4% |
| Market cap | $6.3B | $12.1B |
| P/E (trailing) | 11.0 | 24.7 |
| Dividend yield | 1.94% | 1.38% |
| Sector / category | US Listed | Financials |
Year-by-year returns
| Year | G | JKHY |
|---|---|---|
| 2022 | -11.7% | +6.2% |
| 2023 | -24.0% | -5.7% |
| 2024 | +25.8% | +8.7% |
| 2025 | +10.2% | +5.5% |
| 2026 | -18.9% | -6.3% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are G and JKHY good diversifiers for each other?
Reasonably. At 0.46, G and JKHY keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between G and JKHY?
As of 2026-08-27, the correlation of weekly returns between G and JKHY is 0.46 over 3 years, 0.69 over 1 year and 0.42 over 5 years.
Is JKHY a good diversifier for G?
Reasonably. At 0.46, G and JKHY keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.46 mean?
On the −1 to +1 scale, 0.46 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/g-vs-jkhy.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/g-vs-jkhy/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: G correlations · JKHY correlations
