EXPE vs UBER: Correlation
Measured on weekly returns over the past three years, Expedia Group (EXPE) and Uber (UBER) carry a correlation of 0.50, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are EXPE and UBER?
On 3 years of weekly data the EXPE/UBER correlation comes out at 0.50, moderate. Little has changed lately, as the 1-year reading of 0.44 lands near the 3-year figure. The 5-year figure is 0.51, and annualized covariance runs at 783.7 %².
Among the 33 assets we track against EXPE, UBER ranks #13 by 3-year correlation. The last year tells two different stories: EXPE led by 70.8 percentage points, +51.5% for EXPE against -19.3% for UBER. On a rolling one-year basis the correlation drifted between 0.26 and 0.61, 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.
EXPE vs UBER: side by side
| EXPE (Expedia Group) | UBER (Uber) | |
|---|---|---|
| 1-year return | +51.5% | -19.3% |
| 5-year return | +123.9% | +94.4% |
| Volatility (ann.) | 42.7% | 36.7% |
| Beta vs S&P 500 | 1.33 | 1.34 |
| Max drawdown (3Y) | -37.4% | -34.1% |
| Market cap | $38.3B | $157.2B |
| P/E (trailing) | 21.0 | 17.2 |
| Dividend yield | 0.53% | 0.00% |
| Sector / category | Consumer Discretionary | Industrials |
Year-by-year returns
| Year | EXPE | UBER |
|---|---|---|
| 2022 | -51.5% | -41.0% |
| 2023 | +73.3% | +149.0% |
| 2024 | +22.8% | -2.0% |
| 2025 | +53.3% | +35.5% |
| 2026 | +13.1% | -5.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are EXPE and UBER good diversifiers for each other?
Somewhat, no more. With 0.50 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between EXPE and UBER?
As of 2026-08-27, the correlation of weekly returns between EXPE and UBER is 0.50 over 3 years, 0.44 over 1 year and 0.51 over 5 years.
Is UBER a good diversifier for EXPE?
Somewhat, no more. With 0.50 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.50 mean?
On the −1 to +1 scale, 0.50 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/expe-vs-uber.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/expe-vs-uber/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: EXPE correlations · UBER correlations
