AEP vs GOOG: Correlation
American Electric Power (AEP) and Alphabet Inc. (Class C) (GOOG) show a negative relationship: their 3-year correlation of weekly returns is -0.29.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are AEP and GOOG?
On 3 years of weekly data the AEP/GOOG correlation comes out at -0.29, negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.29 lands near the 3-year figure. The 5-year figure is -0.10, and annualized covariance runs at -171.9 %².
GOOG is close to the least connected end of AEP's tracked universe, ranking #32 of 36. Their recent paths diverged sharply: over the last 12 months GOOG outperformed by 50.6 percentage points (+12.1% for AEP against +62.7% for GOOG). Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from -0.43 to 0.09. Note the risk asymmetry: GOOG runs 1.6 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.
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 GOOG: side by side
| AEP (American Electric Power) | GOOG (Alphabet Inc. (Class C)) | |
|---|---|---|
| 1-year return | +12.1% | +62.7% |
| 5-year return | +63.9% | +134.2% |
| Volatility (ann.) | 18.9% | 31.1% |
| Beta vs S&P 500 | -0.01 | 1.20 |
| Max drawdown (3Y) | -13.1% | -29.4% |
| Market cap | $66.8B | $4,130.2B |
| P/E (trailing) | 21.4 | 17.0 |
| Dividend yield | 3.06% | 0.25% |
| Sector / category | Utilities | Communication Services |
Year-by-year returns
| Year | AEP | GOOG |
|---|---|---|
| 2022 | +10.4% | -38.7% |
| 2023 | -11.0% | +58.8% |
| 2024 | +18.2% | +35.6% |
| 2025 | +29.4% | +65.4% |
| 2026 | +8.9% | +7.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are AEP and GOOG 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 GOOG?
The AEP/GOOG correlation stands at -0.29 on a 3-year window (1 year: -0.29, 5 years: -0.10), computed from weekly returns as of 2026-08-27.
Is GOOG 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-goog.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/aep-vs-goog/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: AEP correlations · GOOG correlations
