CMT vs FCF: Correlation
Measured on weekly returns over the past three years, Core Molding Technologies Inc (CMT) and First Commonwealth Financial Corporation (FCF) carry a correlation of 0.48, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are CMT and FCF?
Over the past 3 years, CMT and FCF moved with a correlation of 0.48, which is moderate. Little has changed lately, as the 1-year reading of 0.48 lands near the 3-year figure. Over 5 years the correlation is 0.31, and the annualized covariance of weekly returns is 523.3 %².
In CMT's tracked universe of 13 assets, FCF sits right near the top at #1. On 12-month performance CMT holds a 10.2-point edge, +30.5% against +20.3%.
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.
CMT vs FCF: side by side
| CMT (Core Molding Technologies Inc) | FCF (First Commonwealth Financial Corporation) | |
|---|---|---|
| 1-year return | +30.5% | +20.3% |
| 5-year return | +80.4% | +83.7% |
| Volatility (ann.) | 40.3% | 26.9% |
| Beta vs S&P 500 | 0.39 | 0.72 |
| Max drawdown (3Y) | -56.0% | -26.9% |
| Market cap | $0.2B | $2.1B |
| P/E (trailing) | 29.8 | 12.7 |
| Dividend yield | 0.00% | 2.64% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | CMT | FCF |
|---|---|---|
| 2022 | +52.6% | -10.3% |
| 2023 | +42.6% | +14.8% |
| 2024 | -10.7% | +13.4% |
| 2025 | +21.2% | +3.0% |
| 2026 | +24.7% | +26.0% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are CMT and FCF good diversifiers for each other?
Yes, to a useful degree: a correlation of 0.48 leaves real independence between the two, which historically damped combined volatility.
FAQ
What is the correlation between CMT and FCF?
Using weekly returns as of 2026-08-27: 0.48 over 3 years, with 0.48 over the last year and 0.31 over 5 years.
Is FCF a good diversifier for CMT?
Yes, to a useful degree: a correlation of 0.48 leaves real independence between the two, which historically damped combined volatility.
What does a correlation of 0.48 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
$ curl https://www.pairbook.io/api/v1/pairs/cmt-vs-fcf.json
Embed this badge (it refreshes with the data), with attribution:
[](https://www.pairbook.io/pair/cmt-vs-fcf/)
The core API is free. Terms and every endpoint in the API documentation.
Related comparisons
Hubs: CMT correlations · FCF correlations