PYPL vs TRU: Correlation
How closely do PayPal (PYPL) and TransUnion (TRU) trade together? Their weekly returns over three years give a correlation of 0.50, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are PYPL and TRU?
On 3 years of weekly data the PYPL/TRU correlation comes out at 0.50, moderate. The relationship has been stable: the 1-year correlation (0.46) sits close to the 3-year figure. The 5-year figure is 0.48, and annualized covariance runs at 765.4 %².
Among the 28 assets we track against PYPL, TRU ranks #8 by 3-year correlation. The trailing year gives TRU the advantage: -11.0% versus -4.3%, a 6.7-point spread.
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.
PYPL vs TRU: side by side
| PYPL (PayPal) | TRU (TransUnion) | |
|---|---|---|
| 1-year return | -11.0% | -4.3% |
| 5-year return | -78.5% | -27.4% |
| Volatility (ann.) | 37.1% | 41.6% |
| Beta vs S&P 500 | 1.15 | 1.71 |
| Max drawdown (3Y) | -57.3% | -47.3% |
| Market cap | $52.6B | $16.2B |
| P/E (trailing) | 11.7 | 22.3 |
| Dividend yield | 0.91% | 0.28% |
| Sector / category | Financials | US Listed |
Year-by-year returns
| Year | PYPL | TRU |
|---|---|---|
| 2022 | -62.2% | -51.9% |
| 2023 | -13.8% | +21.8% |
| 2024 | +39.0% | +35.6% |
| 2025 | -31.4% | -7.0% |
| 2026 | +6.0% | -0.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are PYPL and TRU good diversifiers for each other?
Somewhat, no more. With 0.50 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between PYPL and TRU?
Using weekly returns as of 2026-08-27: 0.50 over 3 years, with 0.46 over the last year and 0.48 over 5 years.
Is TRU a good diversifier for PYPL?
Somewhat, no more. With 0.50 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.50 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/pypl-vs-tru.json
Markdown for the live badge, attribution link included:
[](https://www.pairbook.io/pair/pypl-vs-tru/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: PYPL correlations · TRU correlations
