Correlations Analysis
Correlation Analytics
Key Observations
- OPCH is most correlated with $SSMI (r = 0.17, β = 0.52), the closest co-mover in this set — it explains about 3% of OPCH daily moves (R² = 0.03).
- $MERV is effectively uncorrelated (r = -0.03), the best diversifier against OPCH here.
- Across the set (all Equity Indices), average correlation to OPCH is 0.08.
- Correlation to $NDX is falling (3M r = -0.36 vs 1Y -0.06) — they have been decoupling lately.
- Overall, OPCH is largely idiosyncratic versus this set (avg |r| = 0.09) — its moves are mostly stock-specific.
- Versus $SSMI, rank (Spearman ρ = 0.28) and linear (Pearson r = 0.17) correlation diverge — the link is nonlinear or driven by a few outliers, so treat the linear β with caution.
- OPCH and $SSMI move contemporaneously (correlation is strongest same-day) — no usable lead-lag timing within ±3 days.
- Correlation to $SSMI is stable across volatility regimes (r ≈ 0.20 calm vs 0.18 high-VIX).
| Symbol | Name | 1M | 3M | 6M | 1Y | Trend | β | R² |
|---|---|---|---|---|---|---|---|---|
| $SSMI | Swiss Market Index | 0.58 | 0.35 | 0.11 | 0.12 | ▲ | 0.52 | 0.03 |
| $DJI | Dow Jones Industrial Average | 0.15 | -0.05 | -0.10 | -0.01 | ≈ | 0.44 | 0.03 |
| $FCHI | CAC 40 Paris | 0.24 | 0.12 | 0.05 | 0.06 | ≈ | 0.38 | 0.02 |
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