CFG vs JPM: Correlation
Citizens Financial Group (CFG) and JPMorgan Chase (JPM) show a strong relationship: their 3-year correlation of weekly returns is 0.70.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CFG and JPM?
On 3 years of weekly data the CFG/JPM correlation comes out at 0.70, strong. Recent behaviour matches the longer record: 0.61 over 1 year against 0.70 over 3. The 5-year figure is 0.70, and annualized covariance runs at 499.0 %².
By 3-year correlation, JPM places #27 of the 46 assets tracked against CFG. Correlation aside, the last 12 months split them widely, with CFG ahead by 18.7 points (+39.3% versus +20.6%). The rolling one-year correlation moved between 0.57 and 0.84 over the past three years, a moderate range.
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.
CFG vs JPM: side by side
| CFG (Citizens Financial Group) | JPM (JPMorgan Chase) | |
|---|---|---|
| 1-year return | +39.3% | +20.6% |
| 5-year return | +98.3% | +150.2% |
| Volatility (ann.) | 31.0% | 23.2% |
| Beta vs S&P 500 | 1.16 | 1.01 |
| Max drawdown (3Y) | -29.1% | -24.4% |
| Market cap | $29.6B | $941.6B |
| P/E (trailing) | 15.4 | 15.2 |
| Dividend yield | 2.55% | 1.68% |
| Sector / category | Financials | Financials |
Year-by-year returns
| Year | CFG | JPM |
|---|---|---|
| 2022 | -13.4% | -12.6% |
| 2023 | -11.0% | +30.6% |
| 2024 | +38.0% | +44.3% |
| 2025 | +38.6% | +37.3% |
| 2026 | +22.7% | +11.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CFG and JPM good diversifiers for each other?
Somewhat, no more. With 0.70 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between CFG and JPM?
Using weekly returns as of 2026-08-27: 0.70 over 3 years, with 0.61 over the last year and 0.70 over 5 years.
Is JPM a good diversifier for CFG?
Somewhat, no more. With 0.70 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.70 mean?
A reading of 0.70 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/cfg-vs-jpm.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/cfg-vs-jpm/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: CFG correlations · JPM correlations
