CHKP vs GIB: Correlation
Measured on weekly returns over the past three years, Check Point Software Technologies Ltd. (CHKP) and CGI Inc. (GIB) carry a correlation of 0.42, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CHKP and GIB?
Across a 3-year window, the weekly returns of CHKP and GIB correlate at 0.42, moderate. The relationship has been stable: the 1-year correlation (0.43) sits close to the 3-year figure. Stretching to 5 years gives 0.43, with an annualized covariance of 282.1 %².
In CHKP's tracked universe of 12 assets, GIB sits right near the top at #3. The trailing year gives GIB the advantage: -30.1% versus -22.4%, a 7.7-point spread.
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.
CHKP vs GIB: side by side
| CHKP (Check Point Software Technologies Ltd.) | GIB (CGI Inc.) | |
|---|---|---|
| 1-year return | -30.1% | -22.4% |
| 5-year return | +5.2% | -16.0% |
| Volatility (ann.) | 29.0% | 23.3% |
| Beta vs S&P 500 | 0.41 | 0.57 |
| Max drawdown (3Y) | -51.8% | -49.6% |
| Market cap | $13.6B | $15.4B |
| P/E (trailing) | 13.2 | 12.6 |
| Dividend yield | 0.00% | 0.90% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | CHKP | GIB |
|---|---|---|
| 2022 | +8.2% | -2.7% |
| 2023 | +21.1% | +24.5% |
| 2024 | +22.2% | +2.1% |
| 2025 | -0.6% | -15.3% |
| 2026 | -28.2% | -18.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CHKP and GIB good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.42 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between CHKP and GIB?
Using weekly returns as of 2026-08-27: 0.42 over 3 years, with 0.43 over the last year and 0.43 over 5 years.
Is GIB a good diversifier for CHKP?
Yes, to a useful degree: a correlation of 0.42 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.42 mean?
On the −1 to +1 scale, 0.42 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/chkp-vs-gib.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/chkp-vs-gib/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: CHKP correlations · GIB correlations
