ABCL vs EDIT: Correlation
Measured on weekly returns over the past three years, AbCellera Biologics Inc. (ABCL) and Editas Medicine, Inc. (EDIT) carry a correlation of 0.49, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are ABCL and EDIT?
Over the past 3 years, ABCL and EDIT moved with a correlation of 0.49, which is moderate. Little has changed lately, as the 1-year reading of 0.52 lands near the 3-year figure. Over 5 years the correlation is 0.48, and the annualized covariance of weekly returns is 3441.3 %².
Among the 17 assets we track against ABCL, EDIT ranks #5 by 3-year correlation. Correlation aside, the last 12 months split them widely, with ABCL ahead by 161.5 points (+185.1% versus +23.6%).
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.
ABCL vs EDIT: side by side
| ABCL (AbCellera Biologics Inc.) | EDIT (Editas Medicine, Inc.) | |
|---|---|---|
| 1-year return | +185.1% | +23.6% |
| 5-year return | -28.5% | -94.7% |
| Volatility (ann.) | 80.2% | 86.8% |
| Beta vs S&P 500 | 1.75 | 2.56 |
| Max drawdown (3Y) | -67.7% | -91.2% |
| Market cap | $4.0B | $0.5B |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | ABCL | EDIT |
|---|---|---|
| 2022 | -29.2% | -66.6% |
| 2023 | -43.6% | +14.2% |
| 2024 | -48.7% | -87.5% |
| 2025 | +16.7% | +61.4% |
| 2026 | +262.6% | +61.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are ABCL and EDIT good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.49 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between ABCL and EDIT?
The ABCL/EDIT correlation stands at 0.49 on a 3-year window (1 year: 0.52, 5 years: 0.48), computed from weekly returns as of 2026-08-27.
Is EDIT a good diversifier for ABCL?
Yes, to a useful degree: a correlation of 0.49 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.49 mean?
On the −1 to +1 scale, 0.49 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/abcl-vs-edit.json
Markdown for the live badge, attribution link included:
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The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: ABCL correlations · EDIT correlations
