PairBook
HomeMS › MS vs VXX

MS vs VXX: Correlation

How closely do Morgan Stanley (MS) 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 -0.69, which is negative.

Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology

Correlation (3Y)
-0.69
negative
Correlation (1Y)
-0.65
last 12 months
Correlation (5Y)
-0.57
long-run
Ann. covariance
-1182.9
%² · weekly, annualized

How correlated are MS and VXX?

Across a 3-year window, the weekly returns of MS and VXX correlate at -0.69, negative, meaning they tend to move in opposite directions. Recent behaviour matches the longer record: -0.65 over 1 year against -0.69 over 3. Stretching to 5 years gives -0.57, with an annualized covariance of -1182.9 %².

Out of 46 assets tracked against MS, VXX lands near the bottom at #46. The last year tells two different stories: MS led by 96.8 percentage points, +47.1% for MS against -49.7% for VXX. Note the risk asymmetry: VXX runs 2.2 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.

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.

MS vs VXX: side by side

MS (Morgan Stanley)VXX (iPath Series B S&P 500 VIX Short-Term Futures ETN)
1-year return+47.1%-49.7%
5-year return+142.0%-95.6%
Volatility (ann.)28.3%60.9%
Beta vs S&P 5001.43-3.31
Max drawdown (3Y)-29.2%-83.3%
Market cap$337.5B
P/E (trailing)17.4
Dividend yield1.94%0.00%
Sector / categoryFinancialsUS Listed
Higher yield: MS 1.94% vs 0.00%Smaller drawdown: MS -29.2% vs -83.3%Higher 5y return: MS +142.0% vs -95.6%
-49%0%+53%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. MS · VXX

Year-by-year returns

YearMSVXX
2022-10.3%-23.8%
2023+13.9%-72.5%
2024+39.7%-26.2%
2025+45.2%-42.2%
2026+23.0%-31.6%

Calendar-year price returns; the current year is year-to-date as of the data date above.

Are MS and VXX good diversifiers for each other?

Yes. With a correlation of -0.69, MS and VXX have moved largely independently, which makes them a genuinely diversifying pair by historical standards.

FAQ

What is the correlation between MS and VXX?

As of 2026-08-27, the correlation of weekly returns between MS and VXX is -0.69 over 3 years, -0.65 over 1 year and -0.57 over 5 years.

Is VXX a good diversifier for MS?

Yes. With a correlation of -0.69, MS and VXX have moved largely independently, which makes them a genuinely diversifying pair by historical standards.

What does a correlation of -0.69 mean?

Correlation ranges from −1 to +1. Values near +1 mean two assets move together, near 0 that they move independently, and negative values that they tend to move in opposite directions. It measures co-movement, not performance.

Use this data

JSON API · no key required
$ curl https://www.pairbook.io/api/v1/pairs/ms-vs-vxx.json

MS vs VXX: 3-year weekly correlation -0.69MS vs VXX-0.69

Drop this badge in a README or notebook; it updates with the data:

[![MS vs VXX correlation](https://www.pairbook.io/api/v1/badge/ms-vs-vxx.svg)](https://www.pairbook.io/pair/ms-vs-vxx/)

Free with attribution; caching and terms are described in the API documentation.

Related comparisons

Hubs: MS correlations · VXX correlations