AI vs VXX: Correlation
How closely do C3.ai, Inc. (AI) and iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) trade together? Their weekly returns over three years give a correlation of -0.36, which is negative.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are AI and VXX?
Over the past 3 years, AI and VXX moved with a correlation of -0.36, which is negative, meaning they tend to move in opposite directions. Lately the two have moved closer together, with the 1-year correlation at -0.25 versus -0.36 over 3 years. Over 5 years the correlation is -0.35, and the annualized covariance of weekly returns is -1438.6 %².
Out of 15 assets tracked against AI, VXX lands near the bottom at #13. The trailing year gives AI the advantage: -40.3% versus -49.7%, a 9.4-point spread.
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.
AI vs VXX: side by side
| AI (C3.ai, Inc.) | VXX (iPath Series B S&P 500 VIX Short-Term Futures ETN) | |
|---|---|---|
| 1-year return | -40.3% | -49.7% |
| 5-year return | -79.8% | -95.6% |
| Volatility (ann.) | 65.5% | 60.9% |
| Beta vs S&P 500 | 2.09 | -3.31 |
| Max drawdown (3Y) | -81.9% | -83.3% |
| Market cap | – | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | AI | VXX |
|---|---|---|
| 2022 | -64.2% | -23.8% |
| 2023 | +156.6% | -72.5% |
| 2024 | +19.9% | -26.2% |
| 2025 | -60.8% | -42.2% |
| 2026 | -23.4% | -31.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are AI and VXX good diversifiers for each other?
By historical standards, yes. A correlation of -0.36 means the two rarely move for the same reasons.
FAQ
What is the correlation between AI and VXX?
Using weekly returns as of 2026-08-27: -0.36 over 3 years, with -0.25 over the last year and -0.35 over 5 years.
Is VXX a good diversifier for AI?
By historical standards, yes. A correlation of -0.36 means the two rarely move for the same reasons.
What does a correlation of -0.36 mean?
A reading of -0.36 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/ai-vs-vxx.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/ai-vs-vxx/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: AI correlations · VXX correlations
