J vs VXX: Correlation
Measured on weekly returns over the past three years, Jacobs Solutions (J) and iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) carry a correlation of -0.37, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are J and VXX?
Over the past 3 years, J and VXX moved with a correlation of -0.37, which is negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.29 over 1 year against -0.37 over 3. Over 5 years the correlation is -0.38, and the annualized covariance of weekly returns is -580.7 %².
Among the 34 assets we track against J, VXX sits near the bottom by co-movement, at rank #33. Their recent paths diverged sharply: over the last 12 months J outperformed by 52.3 percentage points (+2.6% for J against -49.7% for VXX). One caveat on sizing: VXX is 2.4 times as volatile as the other leg, so an equal-dollar split is far from equal-risk.
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.
J vs VXX: side by side
| J (Jacobs Solutions) | VXX (iPath Series B S&P 500 VIX Short-Term Futures ETN) | |
|---|---|---|
| 1-year return | +2.6% | -49.7% |
| 5-year return | +40.5% | -95.6% |
| Volatility (ann.) | 25.7% | 60.9% |
| Beta vs S&P 500 | 0.77 | -3.31 |
| Max drawdown (3Y) | -34.4% | -83.3% |
| Market cap | $17.6B | – |
| P/E (trailing) | 49.9 | – |
| Dividend yield | 0.90% | 0.00% |
| Sector / category | Industrials | US Listed |
Year-by-year returns
| Year | J | VXX |
|---|---|---|
| 2022 | -13.1% | -23.8% |
| 2023 | +9.0% | -72.5% |
| 2024 | +24.2% | -26.2% |
| 2025 | +1.1% | -42.2% |
| 2026 | +14.6% | -31.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are J and VXX good diversifiers for each other?
Yes. With a correlation of -0.37, J and VXX have moved largely independently, which makes them a genuinely diversifying pair by historical standards.
FAQ
What is the correlation between J and VXX?
As of 2026-08-27, the correlation of weekly returns between J and VXX is -0.37 over 3 years, -0.29 over 1 year and -0.38 over 5 years.
Is VXX a good diversifier for J?
Yes. With a correlation of -0.37, J and VXX have moved largely independently, which makes them a genuinely diversifying pair by historical standards.
What does a correlation of -0.37 mean?
On the −1 to +1 scale, -0.37 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/j-vs-vxx.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/j-vs-vxx/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: J correlations · VXX correlations
