DUOL vs VXX: Correlation
Duolingo, Inc. (DUOL) and iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) show a negative relationship: their 3-year correlation of weekly returns is -0.31.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are DUOL and VXX?
On 3 years of weekly data the DUOL/VXX correlation comes out at -0.31, negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.25 over 1 year against -0.31 over 3. The 5-year figure is -0.31, and annualized covariance runs at -1176.0 %².
VXX is close to the least connected end of DUOL's tracked universe, ranking #11 of 13. On 12-month performance VXX holds a 5.4-point edge, -55.1% against -49.7%.
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.
DUOL vs VXX: side by side
| DUOL (Duolingo, Inc.) | VXX (iPath Series B S&P 500 VIX Short-Term Futures ETN) | |
|---|---|---|
| 1-year return | -55.1% | -49.7% |
| 5-year return | +11.0% | -95.6% |
| Volatility (ann.) | 62.1% | 60.9% |
| Beta vs S&P 500 | 1.55 | -3.31 |
| Max drawdown (3Y) | -83.3% | -83.3% |
| Market cap | $6.7B | – |
| P/E (trailing) | 16.6 | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | DUOL | VXX |
|---|---|---|
| 2022 | -33.0% | -23.8% |
| 2023 | +218.9% | -72.5% |
| 2024 | +42.9% | -26.2% |
| 2025 | -45.9% | -42.2% |
| 2026 | -18.6% | -31.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are DUOL and VXX good diversifiers for each other?
Yes: at -0.31, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between DUOL and VXX?
As of 2026-08-27, the correlation of weekly returns between DUOL and VXX is -0.31 over 3 years, -0.25 over 1 year and -0.31 over 5 years.
Is VXX a good diversifier for DUOL?
Yes: at -0.31, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.31 mean?
On the −1 to +1 scale, -0.31 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/duol-vs-vxx.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/duol-vs-vxx/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: DUOL correlations · VXX correlations
