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PAYS vs VXZ: Correlation

Paysign, Inc. (PAYS) and iPath Series B S&P 500 VIX Mid-Term Futures ETN (VXZ) show a negative relationship: their 3-year correlation of weekly returns is -0.30.

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

Correlation (3Y)
-0.30
negative
Correlation (1Y)
-0.07
last 12 months
Correlation (5Y)
-0.27
long-run
Ann. covariance
-632.0
%² · weekly, annualized

How correlated are PAYS and VXZ?

Over the past 3 years, PAYS and VXZ moved with a correlation of -0.30, which is negative, meaning they tend to move in opposite directions. The link has tightened recently: the 1-year correlation (-0.07) runs above the 3-year figure (-0.30). Over 5 years the correlation is -0.27, and the annualized covariance of weekly returns is -632.0 %².

Out of 15 assets tracked against PAYS, VXZ lands near the bottom at #15. Their recent paths diverged sharply: over the last 12 months PAYS outperformed by 165.3 percentage points (+149.2% for PAYS against -16.1% for VXZ). Note the risk asymmetry: PAYS runs 3.2 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.

PAYS vs VXZ: side by side

PAYS (Paysign, Inc.)VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN)
1-year return+149.2%-16.1%
5-year return+430.6%-53.1%
Volatility (ann.)81.0%25.6%
Beta vs S&P 5001.60-1.31
Max drawdown (3Y)-64.6%-36.4%
Market cap$0.7B
P/E (trailing)50.6
Dividend yield0.00%
Sector / categoryUS ListedUS Listed
Smaller drawdown: VXZ -36.4% vs -64.6%Higher 5y return: PAYS +430.6% vs -53.1%
-38%0%+168%2025-09-052026-08-27
Both assets over the last year, indexed to 100 at the starting week. PAYS · VXZ

Year-by-year returns

YearPAYSVXZ
2022+61.2%+0.5%
2023+8.5%-44.0%
2024+7.9%-12.7%
2025+70.5%+5.7%
2026+155.5%-10.5%

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

Are PAYS and VXZ good diversifiers for each other?

By historical standards, yes. A correlation of -0.30 means the two rarely move for the same reasons.

FAQ

What is the correlation between PAYS and VXZ?

Using weekly returns as of 2026-08-27: -0.30 over 3 years, with -0.07 over the last year and -0.27 over 5 years.

Is VXZ a good diversifier for PAYS?

By historical standards, yes. A correlation of -0.30 means the two rarely move for the same reasons.

What does a correlation of -0.30 mean?

On the −1 to +1 scale, -0.30 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/pays-vs-vxz.json

PAYS vs VXZ: 3-year weekly correlation -0.30PAYS vs VXZ-0.30

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

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

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

Related comparisons

Hubs: PAYS correlations · VXZ correlations