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VTI vs VXZ: Correlation

Measured on weekly returns over the past three years, Vanguard Total Stock Market ETF (VTI) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.76, a negative link.

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

Correlation (3Y)
-0.76
negative
Correlation (1Y)
-0.70
last 12 months
Correlation (5Y)
-0.72
long-run
Ann. covariance
-282.5
%² · weekly, annualized

How correlated are VTI and VXZ?

Over the past 3 years, VTI and VXZ moved with a correlation of -0.76, which is negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.70 lands near the 3-year figure. Over 5 years the correlation is -0.72, and the annualized covariance of weekly returns is -282.5 %².

VXZ is close to the least connected end of VTI's tracked universe, ranking #155 of 157. Correlation aside, the last 12 months split them widely, with VTI ahead by 36.8 points (+20.7% versus -16.1%). Risk is not evenly split, since VXZ carries 1.8 times the volatility of the other side.

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.

VTI vs VXZ: side by side

VTI (Vanguard Total Stock Market ETF)VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN)
1-year return+20.7%-16.1%
5-year return+74.8%-53.1%
Volatility (ann.)14.6%25.6%
Beta vs S&P 5001.01-1.31
Max drawdown (3Y)-19.3%-36.4%
Dividend yield1.06%
Expense ratio0.03%
Assets under management$2,290.0B
Sector / categoryETF · US Large CapUS Listed
Smaller drawdown: VTI -19.3% vs -36.4%Higher 5y return: VTI +74.8% vs -53.1%

On the fund side, VTI sits in the Large Blend category at Vanguard, with $2,290.0B under management, 3140 holdings, a 0.03% expense ratio, a 1.06% trailing dividend yield.

-16%0%+22%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. VTI · VXZ

Year-by-year returns

YearVTIVXZ
2022-19.5%+0.5%
2023+26.0%-44.0%
2024+23.8%-12.7%
2025+17.1%+5.7%
2026+14.2%-10.5%

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

Are VTI and VXZ good diversifiers for each other?

By historical standards, yes. A correlation of -0.76 means the two rarely move for the same reasons.

FAQ

What is the correlation between VTI and VXZ?

The VTI/VXZ correlation stands at -0.76 on a 3-year window (1 year: -0.70, 5 years: -0.72), computed from weekly returns as of 2026-08-27.

Is VXZ a good diversifier for VTI?

By historical standards, yes. A correlation of -0.76 means the two rarely move for the same reasons.

What does a correlation of -0.76 mean?

On the −1 to +1 scale, -0.76 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

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

VTI vs VXZ: 3-year weekly correlation -0.76VTI vs VXZ-0.76

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

[![VTI vs VXZ correlation](https://www.pairbook.io/api/v1/badge/vti-vs-vxz.svg)](https://www.pairbook.io/pair/vti-vs-vxz/)

The core API is free. Terms and every endpoint in the API documentation.

Related comparisons

Hubs: VTI correlations · VXZ correlations