ADSK vs PYPL: Correlation
Measured on weekly returns over the past three years, Autodesk (ADSK) and PayPal (PYPL) carry a correlation of 0.47, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are ADSK and PYPL?
Across a 3-year window, the weekly returns of ADSK and PYPL correlate at 0.47, moderate. Little has changed lately, as the 1-year reading of 0.46 lands near the 3-year figure. Stretching to 5 years gives 0.54, with an annualized covariance of 539.7 %².
Within ADSK's tracked universe of 44 assets, PYPL comes in at #30 by 3-year correlation. Over the last 12 months ADSK came out ahead by 5.6 percentage points (-5.4% against -11.0%). On a rolling one-year basis the correlation drifted between 0.27 and 0.67, a moderate band.
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.
ADSK vs PYPL: side by side
| ADSK (Autodesk) | PYPL (PayPal) | |
|---|---|---|
| 1-year return | -5.4% | -11.0% |
| 5-year return | -13.7% | -78.5% |
| Volatility (ann.) | 30.9% | 37.1% |
| Beta vs S&P 500 | 1.04 | 1.15 |
| Max drawdown (3Y) | -42.6% | -57.3% |
| Market cap | $57.1B | $52.6B |
| P/E (trailing) | 37.2 | 11.7 |
| Dividend yield | 0.00% | 0.91% |
| Sector / category | Information Technology | Financials |
Year-by-year returns
| Year | ADSK | PYPL |
|---|---|---|
| 2022 | -33.5% | -62.2% |
| 2023 | +30.3% | -13.8% |
| 2024 | +21.4% | +39.0% |
| 2025 | +0.1% | -31.4% |
| 2026 | -8.6% | +6.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are ADSK and PYPL good diversifiers for each other?
A fair diversifier. At 0.47, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
FAQ
What is the correlation between ADSK and PYPL?
As of 2026-08-27, the correlation of weekly returns between ADSK and PYPL is 0.47 over 3 years, 0.46 over 1 year and 0.54 over 5 years.
Is PYPL a good diversifier for ADSK?
A fair diversifier. At 0.47, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
What does a correlation of 0.47 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/adsk-vs-pypl.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/adsk-vs-pypl/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: ADSK correlations · PYPL correlations
