GEV vs VXX: Correlation
Measured on weekly returns over the past three years, GE Vernova (GEV) and iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) carry a correlation of -0.38, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are GEV and VXX?
Over the past 3 years, GEV and VXX moved with a correlation of -0.38, which is negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.25) runs above the 3-year figure (-0.38). Over 5 years the correlation is n/a, and the annualized covariance of weekly returns is -1129.5 %².
Out of 33 assets tracked against GEV, VXX lands near the bottom at #31. The last year tells two different stories: GEV led by 103.3 percentage points, +53.6% for GEV against -49.7% for VXX.
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.
GEV vs VXX: side by side
| GEV (GE Vernova) | VXX (iPath Series B S&P 500 VIX Short-Term Futures ETN) | |
|---|---|---|
| 1-year return | +53.6% | -49.7% |
| 5-year return | n/a | -95.6% |
| Volatility (ann.) | 45.8% | 60.9% |
| Beta vs S&P 500 | 1.42 | -3.31 |
| Max drawdown (3Y) | -38.3% | -83.3% |
| Market cap | $254.0B | – |
| P/E (trailing) | 27.3 | – |
| Dividend yield | 0.18% | 0.00% |
| Sector / category | Industrials | US Listed |
Year-by-year returns
| Year | GEV | VXX |
|---|---|---|
| 2022 | – | -23.8% |
| 2023 | – | -72.5% |
| 2024 | – | -26.2% |
| 2025 | +99.0% | -42.2% |
| 2026 | +46.2% | -31.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are GEV and VXX good diversifiers for each other?
By historical standards, yes. A correlation of -0.38 means the two rarely move for the same reasons.
FAQ
What is the correlation between GEV and VXX?
As of 2026-08-27, the correlation of weekly returns between GEV and VXX is -0.38 over 3 years, -0.25 over 1 year and n/a over 5 years.
Is VXX a good diversifier for GEV?
By historical standards, yes. A correlation of -0.38 means the two rarely move for the same reasons.
What does a correlation of -0.38 mean?
On the −1 to +1 scale, -0.38 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/gev-vs-vxx.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/gev-vs-vxx/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: GEV correlations · VXX correlations
