FERG vs JL: Correlation
Ferguson Enterprises (FERG) and J-Long Group Limited - Class A (JL) show a negative relationship: their 3-year correlation of weekly returns is -0.28.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are FERG and JL?
On 3 years of weekly data the FERG/JL correlation comes out at -0.28, negative, meaning they tend to move in opposite directions. The past 12 months show a tighter link (0.09) than the 3-year average (-0.28). The 5-year figure is n/a, and annualized covariance runs at -4921.9 %².
JL is close to the least connected end of FERG's tracked universe, ranking #32 of 35. Correlation aside, the last 12 months split them widely, with FERG ahead by 17.5 points (+1.1% versus -16.4%). Risk is not evenly split, since JL carries 19.3 times the volatility of the other side.
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.
FERG vs JL: side by side
| FERG (Ferguson Enterprises) | JL (J-Long Group Limited - Class A) | |
|---|---|---|
| 1-year return | +1.1% | -16.4% |
| 5-year return | +82.2% | n/a |
| Volatility (ann.) | 30.0% | 580.0% |
| Beta vs S&P 500 | 0.99 | -1.02 |
| Max drawdown (3Y) | -32.9% | -98.6% |
| Market cap | $45.1B | – |
| P/E (trailing) | 23.0 | 6.5 |
| Dividend yield | 1.80% | 0.00% |
| Sector / category | Industrials | US Listed |
Year-by-year returns
| Year | FERG | JL |
|---|---|---|
| 2022 | -27.2% | – |
| 2023 | +55.1% | – |
| 2024 | -8.6% | – |
| 2025 | +29.9% | +67.1% |
| 2026 | +6.4% | -20.1% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are FERG and JL good diversifiers for each other?
By historical standards, yes. A correlation of -0.28 means the two rarely move for the same reasons.
FAQ
What is the correlation between FERG and JL?
The FERG/JL correlation stands at -0.28 on a 3-year window (1 year: 0.09, 5 years: n/a), computed from weekly returns as of 2026-08-27.
Is JL a good diversifier for FERG?
By historical standards, yes. A correlation of -0.28 means the two rarely move for the same reasons.
What does a correlation of -0.28 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/ferg-vs-jl.json
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The core API is free. Terms and every endpoint in the API documentation.
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Hubs: FERG correlations · JL correlations