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FT vs VXZ: Correlation

Measured on weekly returns over the past three years, Franklin Universal Trust (FT) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) carry a correlation of -0.47, a negative link.

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

Correlation (3Y)
-0.47
negative
Correlation (1Y)
-0.41
last 12 months
Correlation (5Y)
-0.42
long-run
Ann. covariance
-127.3
%² · weekly, annualized

How correlated are FT and VXZ?

Over the past 3 years, FT and VXZ moved with a correlation of -0.47, which is negative, meaning they tend to move in opposite directions. Little has changed lately, as the 1-year reading of -0.41 lands near the 3-year figure. Over 5 years the correlation is -0.42, and the annualized covariance of weekly returns is -127.3 %².

Out of 12 assets tracked against FT, VXZ lands near the bottom at #12. Their recent paths diverged sharply: over the last 12 months FT outperformed by 20.9 percentage points (+4.8% for FT against -16.1% for VXZ). Note the risk asymmetry: VXZ runs 2.4 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.

FT vs VXZ: side by side

FT (Franklin Universal Trust)VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN)
1-year return+4.8%-16.1%
5-year return+31.6%-53.1%
Volatility (ann.)10.5%25.6%
Beta vs S&P 5000.32-1.31
Max drawdown (3Y)-10.6%-36.4%
Market cap
P/E (trailing)6.0
Dividend yield6.58%
Sector / categoryUS ListedUS Listed
Smaller drawdown: FT -10.6% vs -36.4%Higher 5y return: FT +31.6% vs -53.1%
-16%0%+9%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. FT · VXZ

Year-by-year returns

YearFTVXZ
2022-14.0%+0.5%
2023+6.6%-44.0%
2024+18.4%-12.7%
2025+17.0%+5.7%
2026+1.1%-10.5%

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

Are FT and VXZ good diversifiers for each other?

Yes: at -0.47, the two have gone their own ways historically, which is what genuine diversification looks like.

FAQ

What is the correlation between FT and VXZ?

The FT/VXZ correlation stands at -0.47 on a 3-year window (1 year: -0.41, 5 years: -0.42), computed from weekly returns as of 2026-08-27.

Is VXZ a good diversifier for FT?

Yes: at -0.47, the two have gone their own ways historically, which is what genuine diversification looks like.

What does a correlation of -0.47 mean?

A reading of -0.47 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.

Use this data

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

FT vs VXZ: 3-year weekly correlation -0.47FT vs VXZ-0.47

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

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

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

Related comparisons

Hubs: FT correlations · VXZ correlations