GDDY vs MATH: Correlation
GoDaddy (GDDY) and Metalpha Technology Holding Limited (MATH) show a negative relationship: their 3-year correlation of weekly returns is -0.21.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GDDY and MATH?
Over the past 3 years, GDDY and MATH moved with a correlation of -0.21, which is negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.19 over 1 year against -0.21 over 3. Over 5 years the correlation is -0.04, and the annualized covariance of weekly returns is -628.6 %².
Within GDDY's tracked universe of 32 assets, MATH comes in at #24 by 3-year correlation. Their recent paths diverged sharply: over the last 12 months GDDY outperformed by 36.3 percentage points (-34.4% for GDDY against -70.7% for MATH). Risk is not evenly split, since MATH carries 2.7 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.
GDDY vs MATH: side by side
| GDDY (GoDaddy) | MATH (Metalpha Technology Holding Limited) | |
|---|---|---|
| 1-year return | -34.4% | -70.7% |
| 5-year return | +32.1% | -40.4% |
| Volatility (ann.) | 33.6% | 90.1% |
| Beta vs S&P 500 | 0.93 | 0.53 |
| Max drawdown (3Y) | -65.0% | -81.9% |
| Market cap | $12.3B | – |
| P/E (trailing) | 14.4 | 41.7 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | Information Technology | US Listed |
Year-by-year returns
| Year | GDDY | MATH |
|---|---|---|
| 2022 | -11.8% | -57.4% |
| 2023 | +41.9% | +323.3% |
| 2024 | +85.9% | -47.2% |
| 2025 | -37.1% | +82.6% |
| 2026 | -21.8% | -60.3% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GDDY and MATH good diversifiers for each other?
Yes: at -0.21, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between GDDY and MATH?
The GDDY/MATH correlation stands at -0.21 on a 3-year window (1 year: -0.19, 5 years: -0.04), computed from weekly returns as of 2026-08-27.
Is MATH a good diversifier for GDDY?
Yes: at -0.21, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.21 mean?
A reading of -0.21 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/gddy-vs-math.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gddy-vs-math/)
The core API is free. Terms and every endpoint in the API documentation.
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Hubs: GDDY correlations · MATH correlations