MBI vs VXX: Correlation
MBIA Inc. (MBI) 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 -0.27.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are MBI and VXX?
Across a 3-year window, the weekly returns of MBI and VXX correlate at -0.27, negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.09) runs above the 3-year figure (-0.27). Stretching to 5 years gives -0.30, with an annualized covariance of -1130.3 %².
Out of 13 assets tracked against MBI, VXX lands near the bottom at #11. On 12-month performance MBI holds a 8.7-point edge, -41.0% 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.
MBI vs VXX: side by side
| MBI (MBIA Inc.) | VXX (iPath Series B S&P 500 VIX Short-Term Futures ETN) | |
|---|---|---|
| 1-year return | -41.0% | -49.7% |
| 5-year return | -0.5% | -95.6% |
| Volatility (ann.) | 68.8% | 60.9% |
| Beta vs S&P 500 | 0.81 | -3.31 |
| Max drawdown (3Y) | -51.9% | -83.3% |
| Market cap | $0.2B | – |
| P/E (trailing) | – | – |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | MBI | VXX |
|---|---|---|
| 2022 | -18.6% | -23.8% |
| 2023 | +9.2% | -72.5% |
| 2024 | +5.6% | -26.2% |
| 2025 | +10.8% | -42.2% |
| 2026 | -33.0% | -31.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are MBI and VXX good diversifiers for each other?
By historical standards, yes. A correlation of -0.27 means the two rarely move for the same reasons.
FAQ
What is the correlation between MBI and VXX?
Using weekly returns as of 2026-08-27: -0.27 over 3 years, with -0.09 over the last year and -0.30 over 5 years.
Is VXX a good diversifier for MBI?
By historical standards, yes. A correlation of -0.27 means the two rarely move for the same reasons.
What does a correlation of -0.27 mean?
On the −1 to +1 scale, -0.27 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/mbi-vs-vxx.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/mbi-vs-vxx/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: MBI correlations · VXX correlations