JLL vs MAT: Correlation
How closely do Jones Lang LaSalle Incorporated (JLL) and Mattel, Inc. (MAT) trade together? Their weekly returns over three years give a correlation of 0.47, which is moderate.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JLL and MAT?
Across a 3-year window, the weekly returns of JLL and MAT correlate at 0.47, moderate. The relationship has been stable: the 1-year correlation (0.54) sits close to the 3-year figure. Stretching to 5 years gives 0.46, with an annualized covariance of 557.4 %².
By 3-year correlation, MAT places #18 of the 26 assets tracked against JLL. Correlation aside, the last 12 months split them widely, with JLL ahead by 43.3 points (+23.8% versus -19.5%).
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.
JLL vs MAT: side by side
| JLL (Jones Lang LaSalle Incorporated) | MAT (Mattel, Inc.) | |
|---|---|---|
| 1-year return | +23.8% | -19.5% |
| 5-year return | +55.9% | -31.2% |
| Volatility (ann.) | 34.9% | 34.0% |
| Beta vs S&P 500 | 1.30 | 0.87 |
| Max drawdown (3Y) | -30.6% | -41.5% |
| Market cap | $17.4B | $4.3B |
| P/E (trailing) | 18.5 | 11.1 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JLL | MAT |
|---|---|---|
| 2022 | -40.8% | -17.3% |
| 2023 | +18.5% | +5.8% |
| 2024 | +34.0% | -6.1% |
| 2025 | +32.9% | +11.9% |
| 2026 | +12.6% | -24.8% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JLL and MAT good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.47 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between JLL and MAT?
Using weekly returns as of 2026-08-27: 0.47 over 3 years, with 0.54 over the last year and 0.46 over 5 years.
Is MAT a good diversifier for JLL?
Yes, to a useful degree: a correlation of 0.47 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.47 mean?
A reading of 0.47 sits on a scale from −1 (opposite moves) through 0 (unrelated) to +1 (identical moves). Correlation captures direction, not magnitude or performance.
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Related comparisons
Hubs: JLL correlations · MAT correlations
