TTWO vs VXZ: Correlation
Take-Two Interactive (TTWO) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) show a negative relationship: their 3-year correlation of weekly returns is -0.34.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are TTWO and VXZ?
On 3 years of weekly data the TTWO/VXZ correlation comes out at -0.34, negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.30 lands near the 3-year figure. The 5-year figure is -0.29, and annualized covariance runs at -238.6 %².
VXZ is close to the least connected end of TTWO's tracked universe, ranking #31 of 33. Correlation aside, the last 12 months split them widely, with TTWO ahead by 16.5 points (+0.4% versus -16.1%).
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.
TTWO vs VXZ: side by side
| TTWO (Take-Two Interactive) | VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN) | |
|---|---|---|
| 1-year return | +0.4% | -16.1% |
| 5-year return | +47.3% | -53.1% |
| Volatility (ann.) | 27.3% | 25.6% |
| Beta vs S&P 500 | 0.85 | -1.31 |
| Max drawdown (3Y) | -27.7% | -36.4% |
| Market cap | $43.6B | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | – |
| Sector / category | Communication Services | US Listed |
Year-by-year returns
| Year | TTWO | VXZ |
|---|---|---|
| 2022 | -41.4% | +0.5% |
| 2023 | +54.6% | -44.0% |
| 2024 | +14.4% | -12.7% |
| 2025 | +39.1% | +5.7% |
| 2026 | -9.0% | -10.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are TTWO and VXZ good diversifiers for each other?
By historical standards, yes. A correlation of -0.34 means the two rarely move for the same reasons.
FAQ
What is the correlation between TTWO and VXZ?
Using weekly returns as of 2026-08-27: -0.34 over 3 years, with -0.30 over the last year and -0.29 over 5 years.
Is VXZ a good diversifier for TTWO?
By historical standards, yes. A correlation of -0.34 means the two rarely move for the same reasons.
What does a correlation of -0.34 mean?
A reading of -0.34 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/ttwo-vs-vxz.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/ttwo-vs-vxz/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: TTWO correlations · VXZ correlations
