JXN vs MET: Correlation
Measured on weekly returns over the past three years, Jackson Financial Inc. (JXN) and MetLife (MET) carry a correlation of 0.65, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JXN and MET?
Over the past 3 years, JXN and MET moved with a correlation of 0.65, which is strong. The past 12 months show a weaker link (0.48) than the 3-year average (0.65). Over 5 years the correlation is 0.62, and the annualized covariance of weekly returns is 524.9 %².
Within JXN's tracked universe of 15 assets, MET comes in at #4 by 3-year correlation. The last year tells two different stories: JXN led by 18.9 percentage points, +41.0% for JXN against +22.1% for MET.
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.
JXN vs MET: side by side
| JXN (Jackson Financial Inc.) | MET (MetLife) | |
|---|---|---|
| 1-year return | +41.0% | +22.1% |
| 5-year return | +434.8% | +80.8% |
| Volatility (ann.) | 34.5% | 23.3% |
| Beta vs S&P 500 | 1.32 | 0.89 |
| Max drawdown (3Y) | -37.1% | -22.0% |
| Market cap | $9.0B | $61.2B |
| P/E (trailing) | 146.7 | 18.5 |
| Dividend yield | 2.54% | 2.38% |
| Sector / category | US Listed | Financials |
Year-by-year returns
| Year | JXN | MET |
|---|---|---|
| 2022 | -11.5% | +19.2% |
| 2023 | +57.2% | -5.5% |
| 2024 | +76.5% | +27.7% |
| 2025 | +26.9% | -0.8% |
| 2026 | +27.3% | +24.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JXN and MET good diversifiers for each other?
Somewhat, no more. With 0.65 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between JXN and MET?
Using weekly returns as of 2026-08-27: 0.65 over 3 years, with 0.48 over the last year and 0.62 over 5 years.
Is MET a good diversifier for JXN?
Somewhat, no more. With 0.65 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.65 mean?
A reading of 0.65 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/jxn-vs-met.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/jxn-vs-met/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: JXN correlations · MET correlations
