PM vs YELP: Correlation
Philip Morris International (PM) and Yelp Inc. (YELP) show a negative relationship: their 3-year correlation of weekly returns is -0.33.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are PM and YELP?
Across a 3-year window, the weekly returns of PM and YELP correlate at -0.33, negative, meaning they tend to move in opposite directions. The link has loosened recently: the 1-year correlation (-0.55) runs below the 3-year figure (-0.33). Stretching to 5 years gives -0.06, with an annualized covariance of -248.6 %².
YELP is close to the least connected end of PM's tracked universe, ranking #47 of 47. Their recent paths diverged sharply: over the last 12 months PM outperformed by 48.8 percentage points (+20.2% for PM against -28.6% for YELP).
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.
PM vs YELP: side by side
| PM (Philip Morris International) | YELP (Yelp Inc.) | |
|---|---|---|
| 1-year return | +20.2% | -28.6% |
| 5-year return | +133.5% | -41.2% |
| Volatility (ann.) | 23.1% | 32.4% |
| Beta vs S&P 500 | -0.01 | 0.57 |
| Max drawdown (3Y) | -20.6% | -59.2% |
| Market cap | $296.9B | $1.2B |
| P/E (trailing) | 26.7 | 10.9 |
| Dividend yield | 3.03% | 0.00% |
| Sector / category | Consumer Staples | US Listed |
Year-by-year returns
| Year | PM | YELP |
|---|---|---|
| 2022 | +12.3% | -24.6% |
| 2023 | -1.9% | +73.2% |
| 2024 | +34.3% | -18.3% |
| 2025 | +38.0% | -21.5% |
| 2026 | +20.8% | -25.9% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are PM and YELP good diversifiers for each other?
By historical standards, yes. A correlation of -0.33 means the two rarely move for the same reasons.
FAQ
What is the correlation between PM and YELP?
Using weekly returns as of 2026-08-27: -0.33 over 3 years, with -0.55 over the last year and -0.06 over 5 years.
Is YELP a good diversifier for PM?
By historical standards, yes. A correlation of -0.33 means the two rarely move for the same reasons.
What does a correlation of -0.33 mean?
On the −1 to +1 scale, -0.33 describes how much the two returns move together: +1 is lockstep, 0 is independence, negative values mean opposite directions. It says nothing about which performed better.
Use this data
$ curl https://www.pairbook.io/api/v1/pairs/pm-vs-yelp.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/pm-vs-yelp/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: PM correlations · YELP correlations
