JL vs UBER: Correlation
J-Long Group Limited - Class A (JL) and Uber (UBER) show a negative relationship: their 3-year correlation of weekly returns is -0.16.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JL and UBER?
Over the past 3 years, JL and UBER moved with a correlation of -0.16, which is negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.15 over 1 year against -0.16 over 3. Over 5 years the correlation is n/a, and the annualized covariance of weekly returns is -3381.3 %².
Among the 58 assets we track against JL, UBER ranks #23 by 3-year correlation. Neither side won the trailing year by much: -16.4% against -19.3%. One caveat on sizing: JL is 15.8 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.
JL vs UBER: side by side
| JL (J-Long Group Limited - Class A) | UBER (Uber) | |
|---|---|---|
| 1-year return | -16.4% | -19.3% |
| 5-year return | n/a | +94.4% |
| Volatility (ann.) | 580.0% | 36.7% |
| Beta vs S&P 500 | -1.02 | 1.34 |
| Max drawdown (3Y) | -98.6% | -34.1% |
| Market cap | – | $157.2B |
| P/E (trailing) | 6.5 | 17.2 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | Industrials |
Year-by-year returns
| Year | JL | UBER |
|---|---|---|
| 2022 | – | -41.0% |
| 2023 | – | +149.0% |
| 2024 | – | -2.0% |
| 2025 | +67.1% | +35.5% |
| 2026 | -20.1% | -5.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JL and UBER good diversifiers for each other?
By historical standards, yes. A correlation of -0.16 means the two rarely move for the same reasons.
FAQ
What is the correlation between JL and UBER?
Using weekly returns as of 2026-08-27: -0.16 over 3 years, with -0.15 over the last year and n/a over 5 years.
Is UBER a good diversifier for JL?
By historical standards, yes. A correlation of -0.16 means the two rarely move for the same reasons.
What does a correlation of -0.16 mean?
A reading of -0.16 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/jl-vs-uber.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jl-vs-uber/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: JL correlations · UBER correlations
