JEF vs JYNT: Correlation
Measured on weekly returns over the past three years, Jefferies Financial Group Inc. (JEF) and The Joint Corp. (JYNT) carry a correlation of 0.44, a moderate link.
Data as of 2026-08-27 · refreshed every trading day · weekly returns · methodology
How correlated are JEF and JYNT?
Across a 3-year window, the weekly returns of JEF and JYNT correlate at 0.44, moderate. The link has tightened recently: the 1-year correlation (0.54) runs above the 3-year figure (0.44). Stretching to 5 years gives 0.39, with an annualized covariance of 720.4 %².
By 3-year correlation, JYNT places #11 of the 16 assets tracked against JEF. Over the last 12 months JEF came out ahead by 5.5 percentage points (-15.9% against -21.4%).
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.
JEF vs JYNT: side by side
| JEF (Jefferies Financial Group Inc.) | JYNT (The Joint Corp.) | |
|---|---|---|
| 1-year return | -15.9% | -21.4% |
| 5-year return | +73.8% | -91.8% |
| Volatility (ann.) | 39.3% | 41.9% |
| Beta vs S&P 500 | 1.57 | 0.98 |
| Max drawdown (3Y) | -54.4% | -56.6% |
| Market cap | $10.7B | $0.1B |
| P/E (trailing) | 14.8 | 60.1 |
| Dividend yield | 0.00% | 0.00% |
| Sector / category | US Listed | US Listed |
Year-by-year returns
| Year | JEF | JYNT |
|---|---|---|
| 2022 | -8.5% | -78.7% |
| 2023 | +27.7% | -31.3% |
| 2024 | +98.8% | +10.6% |
| 2025 | -18.8% | -18.0% |
| 2026 | -12.8% | -3.6% |
Calendar-year price returns; the current year is year-to-date as of the data date above.
Are JEF and JYNT good diversifiers for each other?
A fair diversifier. At 0.44, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
FAQ
What is the correlation between JEF and JYNT?
As of 2026-08-27, the correlation of weekly returns between JEF and JYNT is 0.44 over 3 years, 0.54 over 1 year and 0.39 over 5 years.
Is JYNT a good diversifier for JEF?
A fair diversifier. At 0.44, enough of each asset's movement is its own that the pair has smoothed outcomes historically.
What does a correlation of 0.44 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/jef-vs-jynt.json
Drop this badge in a README or notebook; it updates with the data:
[](https://www.pairbook.io/pair/jef-vs-jynt/)
Free with attribution; caching and terms are described in the API documentation.
Related comparisons
Hubs: JEF correlations · JYNT correlations
