CXW vs MQ: Correlation
Measured on weekly returns over the past three years, CoreCivic, Inc. (CXW) and Marqeta, Inc. (MQ) carry a correlation of -0.32, a negative link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CXW and MQ?
Over the past 3 years, CXW and MQ moved with a correlation of -0.32, which is negative, meaning they tend to move in opposite directions. The past 12 months show a tighter link (-0.05) than the 3-year average (-0.32). Over 5 years the correlation is -0.16, and the annualized covariance of weekly returns is -735.0 %².
Out of 12 assets tracked against CXW, MQ lands near the bottom at #11. Their recent paths diverged sharply: over the last 12 months CXW outperformed by 99.9 percentage points (+64.5% for CXW against -35.4% for MQ).
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.
CXW vs MQ: side by side
| CXW (CoreCivic, Inc.) | MQ (Marqeta, Inc.) | |
|---|---|---|
| 1-year return | +64.5% | -35.4% |
| 5-year return | +251.2% | -85.0% |
| Volatility (ann.) | 53.5% | 43.5% |
| Beta vs S&P 500 | 0.94 | 0.49 |
| Max drawdown (3Y) | -32.6% | -53.3% |
| Market cap | $3.3B | $1.7B |
| P/E (trailing) | 27.0 | 180.1 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | CXW | MQ |
|---|---|---|
| 2022 | +15.9% | -64.4% |
| 2023 | +25.7% | +14.2% |
| 2024 | +49.6% | -45.7% |
| 2025 | -12.1% | +25.3% |
| 2026 | +76.8% | -14.7% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CXW and MQ good diversifiers for each other?
Yes: at -0.32, the two have gone their own ways historically, which is what genuine diversification looks like.
FAQ
What is the correlation between CXW and MQ?
As of 2026-08-27, the correlation of weekly returns between CXW and MQ is -0.32 over 3 years, -0.05 over 1 year and -0.16 over 5 years.
Is MQ a good diversifier for CXW?
Yes: at -0.32, the two have gone their own ways historically, which is what genuine diversification looks like.
What does a correlation of -0.32 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
$ curl https://www.pairbook.io/api/v1/pairs/cxw-vs-mq.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/cxw-vs-mq/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: CXW correlations · MQ correlations
