PairBook
HomeBG › BG vs MA

BG vs MA: Correlation

Measured on weekly returns over the past three years, Bunge Global (BG) and Mastercard (MA) carry a correlation of -0.18, a negative link.

Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology

Correlation (3Y)
-0.18
negative
Correlation (1Y)
-0.36
last 12 months
Correlation (5Y)
-0.04
long-run
Ann. covariance
-106.8
%² · weekly, annualized

How correlated are BG and MA?

Across a 3-year window, the weekly returns of BG and MA correlate at -0.18, negative, meaning they tend to move in opposite directions. The link has loosened recently: the 1-year correlation (-0.36) runs below the 3-year figure (-0.18). Stretching to 5 years gives -0.04, with an annualized covariance of -106.8 %².

Within BG's tracked universe of 37 assets, MA comes in at #25 by 3-year correlation. The last year tells two different stories: BG led by 34.4 percentage points, +35.2% for BG against +0.8% for MA. Do not treat this figure as fixed: across three years the rolling one-year correlation ranged all the way from -0.32 to 0.35. Note the risk asymmetry: BG runs 1.6 times the annualized volatility of the other leg, so equal-weighting the two is not an equal-risk position.

+1.0+0.50-0.5-1.020232026-08-27
Rolling one-year correlation of weekly returns over the past three years.
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.

BG vs MA: side by side

BG (Bunge Global)MA (Mastercard)
1-year return+35.2%+0.8%
5-year return+68.5%+72.6%
Volatility (ann.)30.7%19.3%
Beta vs S&P 5000.090.77
Max drawdown (3Y)-38.8%-20.9%
Market cap$21.4B$518.4B
P/E (trailing)24.432.9
Dividend yield2.51%0.56%
Sector / categoryConsumer StaplesFinancials
Lower P/E: BG 24.4 vs 32.9Higher yield: BG 2.51% vs 0.56%Smaller drawdown: MA -20.9% vs -38.8%Higher 5y return: MA +72.6% vs +68.5%
-17%0%+56%2025-09-052026-08-27
Price paths over the last 12 months, both indexed to 100 at the start (weekly closes). BG · MA

Year-by-year returns

YearBGMA
2022+9.3%-2.7%
2023+3.8%+23.4%
2024-20.7%+24.2%
2025+18.6%+9.0%
2026+27.5%+4.2%

Calendar-year price returns; the current year is year-to-date as of the data date above.

Are BG and MA good diversifiers for each other?

Yes. With a correlation of -0.18, BG and MA have moved largely independently, which makes them a genuinely diversifying pair by historical standards.

FAQ

What is the correlation between BG and MA?

Using weekly returns as of 2026-08-27: -0.18 over 3 years, with -0.36 over the last year and -0.04 over 5 years.

Is MA a good diversifier for BG?

Yes. With a correlation of -0.18, BG and MA have moved largely independently, which makes them a genuinely diversifying pair by historical standards.

What does a correlation of -0.18 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

JSON API · no key required
$ curl https://www.pairbook.io/api/v1/pairs/bg-vs-ma.json

BG vs MA: 3-year weekly correlation -0.18BG vs MA-0.18

Drop this badge in a README or notebook; it updates with the data:

[![BG vs MA correlation](https://www.pairbook.io/api/v1/badge/bg-vs-ma.svg)](https://www.pairbook.io/pair/bg-vs-ma/)

Free with attribution; caching and terms are described in the API documentation.

Related comparisons

Hubs: BG correlations · MA correlations