Correlation Analysis
Meta Platforms, Inc. Class A Common Stock vs Marsh
META vs MRSH
+0.625
Moderate positive
When one moves up, the other tends to follow.
Meta Platforms, Inc. Class A Common Stock
↗META
Meta is the largest social media company in the world, boasting close to 4 billion monthly active users worldwide. The firm's "Family of Apps," its core business, consists of Facebook, Instagram, Messenger, and WhatsApp. End users can leverage these applications for a variety of different purposes, from keeping in touch with friends to following celebrities and running digital businesses for free. Meta packages customer data, gleaned from its application ecosystem and sells ads to digital advertisers. While the firm has been investing heavily in its Reality Labs business, it remains a very small part of Meta's overall sales.
Market cap 1.4T
Marsh
↗MRSH
Marsh McLennan is a professional services firm that provides advice and solutions in the areas of risk, strategy, and human capital. The company operates through two main segments: risk and insurance services and consulting. In risk and insurance services, the firm offers services via Marsh (an insurance broker) and Guy Carpenter (a risk and reinsurance specialist). The consulting division comprises Mercer (a provider of human resource services) and Oliver Wyman (a management and economic consultancy). About half of its revenue is generated outside the US.
Market cap 84.5B · 55,700 employees
Time Series
Relative Performance
Who Moves First
MRSH leads META by 3 days
MRSH tends to move before META.
After testing 13 timing shifts, the strongest relationship was +0.632 (they moved in the same direction).
Do They Crash Together?
Correlation by Market Regime
How these series behave when markets are rising, falling, or diverging. A correlation that holds in drawdowns is very different from one that only works in rallies.
Both Rising
+0.807
7 periods · Return correlation when both series rose
Both Falling
+0.491
8 periods · Return correlation when both series fell
Diverging
-0.469
20 periods · Return correlation when series moved apart
R-Squared
39.1%
Share of variance in one series explained by the other.
Trend Agreement
48.2%
How often both series moved in the same direction period-to-period.
Overlap Quality
57
Thin shared window — 57 usable pairs.
Significance
p < 0.001
95% CI: [0.436, 0.762]
Scatter
XY Regression
Pipeline
Data quality details
Pipeline
Data quality details
Pipeline Summary
57 paired data points survived the daily window.
Raw input
1,107
57
Normalized
1,107
57
Prepared
1,107
57
Aligned
57
57
Invalid removed
0
A: 0 / B: 0
Duplicates removed
0
A: 0 / B: 0
Alignment drops
1,050
A: 1050 / B: 0
Series A
Meta Platforms, Inc. Class A Common Stock
META
Market cap 1.4T
Stock · 1,107 raw → 1,107 prepared
Series B
Marsh
MRSH
Market cap 84.5B · 55,700 employees
Stock · 57 raw → 57 prepared
Sign agreement
100.0%
How often both values share the same sign.
Zero crossings
2
Estimated crossover points between normalized spreads.
Slope
0.0850
Linear regression slope.
Intercept
124.6378
Linear regression intercept.
Related Extremes
Highest and Lowest Correlated
Saved 5 hours ago · ID: stock-meta-vs-stock-mrsh-daily-20260408-wn3xl3