GME vs WGS: Correlation
How closely do GameStop Corporation (GME) and GeneDx Holdings Corp. (WGS) trade together? Their weekly returns over three years give a correlation of 0.34, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GME and WGS?
Across a 3-year window, the weekly returns of GME and WGS correlate at 0.34, moderate. The past 12 months show a weaker link (0.11) than the 3-year average (0.34). Stretching to 5 years gives 0.35, with an annualized covariance of 2237.7 %².
Within GME's tracked universe of 10 assets, WGS comes in at #5 by 3-year correlation. The trailing year gives GME the advantage: -18.9% versus -30.9%, a 12.0-point spread. Risk is not evenly split, since WGS carries 2.0 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.
GME vs WGS: side by side
| GME (GameStop Corporation) | WGS (GeneDx Holdings Corp.) | |
|---|---|---|
| 1-year return | -18.9% | -30.9% |
| 5-year return | -65.1% | -69.2% |
| Volatility (ann.) | 57.6% | 113.8% |
| Beta vs S&P 500 | 0.61 | 1.13 |
| Max drawdown (3Y) | -63.2% | -79.4% |
| Market cap | $8.2B | $2.7B |
| P/E (trailing) | 13.4 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | GME | WGS |
|---|---|---|
| 2022 | -50.2% | -94.1% |
| 2023 | -5.0% | -68.4% |
| 2024 | +78.8% | +2694.9% |
| 2025 | -35.9% | +69.2% |
| 2026 | -9.1% | -31.4% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GME and WGS good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.34 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between GME and WGS?
The GME/WGS correlation stands at 0.34 on a 3-year window (1 year: 0.11, 5 years: 0.35), computed from weekly returns as of 2026-08-27.
Is WGS a good diversifier for GME?
Yes, to a useful degree: a correlation of 0.34 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.34 mean?
On the −1 to +1 scale, 0.34 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/gme-vs-wgs.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gme-vs-wgs/)
The core API is free. Terms and every endpoint in the API documentation.
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Hubs: GME correlations · WGS correlations