JL vs LOOP: Correlation
J-Long Group Limited - Class A (JL) and Loop Industries, Inc. (LOOP) show a moderate relationship: their 3-year correlation of weekly returns is 0.36.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JL and LOOP?
On 3 years of weekly data the JL/LOOP correlation comes out at 0.36, moderate. The past 12 months show a weaker link (0.06) than the 3-year average (0.36). The 5-year figure is n/a, and annualized covariance runs at 15694.1 %².
By 3-year correlation, LOOP places #17 of the 58 assets tracked against JL. Correlation aside, the last 12 months split them widely, with JL ahead by 46.5 points (-16.4% versus -62.9%). Risk is not evenly split, since JL carries 7.9 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.
JL vs LOOP: side by side
| JL (J-Long Group Limited - Class A) | LOOP (Loop Industries, Inc.) | |
|---|---|---|
| 1-year return | -16.4% | -62.9% |
| 5-year return | n/a | -93.8% |
| Volatility (ann.) | 580.0% | 73.7% |
| Beta vs S&P 500 | -1.02 | 0.96 |
| Max drawdown (3Y) | -98.6% | -87.5% |
| Market cap | – | – |
| P/E (trailing) | 6.5 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JL | LOOP |
|---|---|---|
| 2022 | – | -80.5% |
| 2023 | – | +58.2% |
| 2024 | – | -68.3% |
| 2025 | +67.1% | -16.7% |
| 2026 | -20.1% | -44.3% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JL and LOOP good diversifiers for each other?
Reasonably. At 0.36, JL and LOOP keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
FAQ
What is the correlation between JL and LOOP?
The JL/LOOP correlation stands at 0.36 on a 3-year window (1 year: 0.06, 5 years: n/a), computed from weekly returns as of 2026-08-27.
Is LOOP a good diversifier for JL?
Reasonably. At 0.36, JL and LOOP keep a meaningful degree of independence, and combining them has historically reduced portfolio volatility.
What does a correlation of 0.36 mean?
A reading of 0.36 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.
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Related comparisons
Hubs: JL correlations · LOOP correlations
