BY vs DLX: Correlation
Measured on weekly returns over the past three years, Byline Bancorp, Inc. (BY) and Deluxe Corporation (DLX) carry a correlation of 0.61, a strong link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are BY and DLX?
Over the past 3 years, BY and DLX moved with a correlation of 0.61, which is strong. The past 12 months show a weaker link (0.50) than the 3-year average (0.61). Over 5 years the correlation is 0.56, and the annualized covariance of weekly returns is 650.3 %².
Within BY's tracked universe of 70 assets, DLX comes in at #58 by 3-year correlation. The trailing year gives BY the advantage: +32.5% versus +25.3%, a 7.2-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.
BY vs DLX: side by side
| BY (Byline Bancorp, Inc.) | DLX (Deluxe Corporation) | |
|---|---|---|
| 1-year return | +32.5% | +25.3% |
| 5-year return | +66.2% | -19.3% |
| Volatility (ann.) | 26.8% | 39.8% |
| Beta vs S&P 500 | 0.80 | 1.08 |
| Max drawdown (3Y) | -27.2% | -40.9% |
| Market cap | $1.7B | $1.1B |
| P/E (trailing) | 11.5 | 10.8 |
| Dividend yield | 1.15% | 5.08% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | BY | DLX |
|---|---|---|
| 2022 | -14.7% | -44.4% |
| 2023 | +4.3% | +34.9% |
| 2024 | +25.0% | +11.3% |
| 2025 | +2.0% | +5.6% |
| 2026 | +32.7% | +9.5% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are BY and DLX good diversifiers for each other?
Somewhat, no more. With 0.61 correlation, most large moves hit both names, and the diversification benefit stays modest.
FAQ
What is the correlation between BY and DLX?
Using weekly returns as of 2026-08-27: 0.61 over 3 years, with 0.50 over the last year and 0.56 over 5 years.
Is DLX a good diversifier for BY?
Somewhat, no more. With 0.61 correlation, most large moves hit both names, and the diversification benefit stays modest.
What does a correlation of 0.61 mean?
A reading of 0.61 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
$ curl https://www.pairbook.io/api/v1/pairs/by-vs-dlx.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/by-vs-dlx/)
No key needed, free to use. Full endpoint list in the API documentation.
Related comparisons
Hubs: BY correlations · DLX correlations
