AFL vs CINF: Correlation
Aflac (AFL) and Cincinnati Financial (CINF) show a strong relationship: their 3-year correlation of weekly returns is 0.61.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are AFL and CINF?
Across a 3-year window, the weekly returns of AFL and CINF correlate at 0.61, strong. Lately the two have moved closer together, with the 1-year correlation at 0.73 versus 0.61 over 3 years. Stretching to 5 years gives 0.60, with an annualized covariance of 253.0 %².
Within AFL's tracked universe of 32 assets, CINF comes in at #6 by 3-year correlation. Their 12-month results are close: +10.8% for AFL against +14.5% for CINF. On a rolling one-year basis the correlation drifted between 0.40 and 0.78, a moderate band.
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.
AFL vs CINF: side by side
| AFL (Aflac) | CINF (Cincinnati Financial) | |
|---|---|---|
| 1-year return | +10.8% | +14.5% |
| 5-year return | +131.3% | +58.8% |
| Volatility (ann.) | 19.2% | 21.6% |
| Beta vs S&P 500 | 0.36 | 0.36 |
| Max drawdown (3Y) | -13.6% | -20.0% |
| Market cap | $58.4B | $26.5B |
| P/E (trailing) | 12.6 | 8.1 |
| Dividend yield | 2.03% | 2.10% |
| Sector / category | Financials | Financials |
Year-by-year returns
| Year | AFL | CINF |
|---|---|---|
| 2022 | +26.4% | -7.9% |
| 2023 | +17.4% | +4.0% |
| 2024 | +28.1% | +42.5% |
| 2025 | +8.9% | +16.3% |
| 2026 | +7.4% | +6.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are AFL and CINF good diversifiers for each other?
Only partially. A correlation of 0.61 means AFL and CINF share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
FAQ
What is the correlation between AFL and CINF?
Using weekly returns as of 2026-08-27: 0.61 over 3 years, with 0.73 over the last year and 0.60 over 5 years.
Is CINF a good diversifier for AFL?
Only partially. A correlation of 0.61 means AFL and CINF share most of their swings. Pairing them dampens volatility somewhat, but it will not protect against a common drawdown.
What does a correlation of 0.61 mean?
A reading of 0.61 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/afl-vs-cinf.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/afl-vs-cinf/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: AFL correlations · CINF correlations
