C vs GS: Correlation
Citigroup (C) and Goldman Sachs (GS) show a strong relationship: their 3-year correlation of weekly returns is 0.78.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are C and GS?
On 3 years of weekly data the C/GS correlation comes out at 0.78, strong. The past 12 months show a weaker link (0.59) than the 3-year average (0.78). The 5-year figure is 0.74, and annualized covariance runs at 636.0 %².
Within C's tracked universe of 33 assets, GS comes in at #4 by 3-year correlation. Their 12-month results are close: +39.9% for C against +41.6% for GS. Across three years, the rolling one-year figure varied moderately, from 0.61 to 0.91.
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.
C vs GS: side by side
| C (Citigroup) | GS (Goldman Sachs) | |
|---|---|---|
| 1-year return | +39.9% | +41.6% |
| 5-year return | +119.6% | +184.1% |
| Volatility (ann.) | 30.3% | 27.0% |
| Beta vs S&P 500 | 1.39 | 1.34 |
| Max drawdown (3Y) | -31.3% | -30.9% |
| Market cap | $222.6B | $303.1B |
| P/E (trailing) | 14.4 | 16.1 |
| Dividend yield | 1.80% | 1.63% |
| Sector / category | Financials | Financials |
Year-by-year returns
| Year | C | GS |
|---|---|---|
| 2022 | -22.1% | -7.9% |
| 2023 | +19.0% | +15.9% |
| 2024 | +41.9% | +52.0% |
| 2025 | +70.4% | +56.6% |
| 2026 | +15.4% | +19.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are C and GS good diversifiers for each other?
Somewhat, no more. With 0.78 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between C and GS?
Using weekly returns as of 2026-08-27: 0.78 over 3 years, with 0.59 over the last year and 0.74 over 5 years.
Is GS a good diversifier for C?
Somewhat, no more. With 0.78 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.78 mean?
A reading of 0.78 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/c-vs-gs.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/c-vs-gs/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: C correlations · GS correlations
