AEP vs GOOGL: Correlation
How closely do American Electric Power (AEP) and Alphabet Inc. (Class A) (GOOGL) trade together? Their weekly returns over three years give a correlation of -0.29, which is negative.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are AEP and GOOGL?
Across a 3-year window, the weekly returns of AEP and GOOGL correlate at -0.29, negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.28 lands near the 3-year figure. Stretching to 5 years gives -0.10, with an annualized covariance of -172.0 %².
Among the 36 assets we track against AEP, GOOGL sits near the bottom by co-movement, at rank #33. The last year tells two different stories: GOOGL led by 52.6 percentage points, +12.1% for AEP against +64.7% for GOOGL. Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from -0.44 to 0.10. One caveat on sizing: GOOGL is 1.7 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.
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.
AEP vs GOOGL: side by side
| AEP (American Electric Power) | GOOGL (Alphabet Inc. (Class A)) | |
|---|---|---|
| 1-year return | +12.1% | +64.7% |
| 5-year return | +63.9% | +137.7% |
| Volatility (ann.) | 18.9% | 31.4% |
| Beta vs S&P 500 | -0.01 | 1.22 |
| Max drawdown (3Y) | -13.1% | -29.8% |
| Market cap | $66.8B | $4,166.1B |
| P/E (trailing) | 21.4 | 17.2 |
| Dividend yield | 3.06% | 0.25% |
| Sector / category | Utilities | Communication Services |
Year-by-year returns
| Year | AEP | GOOGL |
|---|---|---|
| 2022 | +10.4% | -39.1% |
| 2023 | -11.0% | +58.3% |
| 2024 | +18.2% | +36.0% |
| 2025 | +29.4% | +66.0% |
| 2026 | +8.9% | +9.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are AEP and GOOGL good diversifiers for each other?
By historical standards, yes. A correlation of -0.29 means the two rarely move for the same reasons.
FAQ
What is the correlation between AEP and GOOGL?
The AEP/GOOGL correlation stands at -0.29 on a 3-year window (1 year: -0.28, 5 years: -0.10), computed from weekly returns as of 2026-08-27.
Is GOOGL a good diversifier for AEP?
By historical standards, yes. A correlation of -0.29 means the two rarely move for the same reasons.
What does a correlation of -0.29 mean?
Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/aep-vs-googl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/aep-vs-googl/)
No key needed, free to use. Full endpoint list in the API documentation.
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Hubs: AEP correlations · GOOGL correlations