SGML vs SQM: Correlation
Sigma Lithium Corporation (SGML) and Sociedad Quimica y Minera S.A. (SQM) show a strong relationship: their 3-year correlation of weekly returns is 0.62.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are SGML and SQM?
On 3 years of weekly data the SGML/SQM correlation comes out at 0.62, strong. Recent behaviour matches the longer record: 0.66 over 1 year against 0.62 over 3. The 5-year figure is 0.58, and annualized covariance runs at 2777.7 %².
Few assets follow SGML as closely as SQM, which ranks #2 of 12 tracked partners. Over the last 12 months SGML came out ahead by 14.6 percentage points (+87.9% against +73.3%). Risk is not evenly split, since SGML carries 2.1 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.
SGML vs SQM: side by side
| SGML (Sigma Lithium Corporation) | SQM (Sociedad Quimica y Minera S.A.) | |
|---|---|---|
| 1-year return | +87.9% | +73.3% |
| 5-year return | +69.8% | +90.7% |
| Volatility (ann.) | 97.8% | 45.5% |
| Beta vs S&P 500 | 1.89 | 0.78 |
| Max drawdown (3Y) | -88.9% | -51.3% |
| Market cap | $1.4B | $23.0B |
| P/E (trailing) | – | 16.1 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | SGML | SQM |
|---|---|---|
| 2022 | +171.1% | +71.8% |
| 2023 | +11.7% | -18.3% |
| 2024 | -64.4% | -39.4% |
| 2025 | +17.6% | +89.2% |
| 2026 | -4.4% | +18.2% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are SGML and SQM good diversifiers for each other?
To a limited degree. At 0.62 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.
FAQ
What is the correlation between SGML and SQM?
Using weekly returns as of 2026-08-27: 0.62 over 3 years, with 0.66 over the last year and 0.58 over 5 years.
Is SQM a good diversifier for SGML?
To a limited degree. At 0.62 the two still catch most of the same waves, so the pair smooths returns a little without insulating either from a shared selloff.
What does a correlation of 0.62 mean?
A reading of 0.62 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/sgml-vs-sqm.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/sgml-vs-sqm/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: SGML correlations · SQM correlations
