Exposure report
SPHD vs SPY
Compare what the funds own and how their adjusted prices behaved. Every result below identifies the observed period and the amount of holdings data represented.
Reported exposure intersection
Price Performance
Historical price comparison over 3M
Latest adjusted-close observations: SPHD 2026-08-21 · SPY 2026-08-21.
Performance Comparison
⚠️Risk Metrics
Interpretation:
- Lower volatility = smoother ride
- Higher Sharpe/Sortino = better risk-adjusted returns
- Smaller max drawdown = less worst-case pain
- Beta > 1 = more volatile than S&P 500
Risk metrics use the available common observations, a 4% annual risk-free assumption and SPY as the beta benchmark.
Shared reported holdings
46 positions account for a known minimum overlap of 7.3%.
Top Shared Holdings
| # | Stock | SPHD Weight | SPY Weight | Overlap |
|---|---|---|---|---|
| 1 | XOM XOM | 1.70% | 0.99% | 0.99% |
| 2 | JNJ JNJ | 1.76% | 0.94% | 0.94% |
| 3 | ABBV ABBV | 1.81% | 0.66% | 0.66% |
| 4 | CVX CVX | 2.05% | 0.55% | 0.55% |
| 5 | MRK MRK | 2.20% | 0.48% | 0.48% |
| 6 | AMGN AMGN | 1.61% | 0.34% | 0.34% |
| 7 | VZ VZ | 2.58% | 0.29% | 0.29% |
| 8 | PEP PEP | 1.86% | 0.28% | 0.28% |
| 9 | T T | 1.57% | 0.25% | 0.25% |
| 10 | PFE PFE | 3.08% | 0.23% | 0.23% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Largest positions reported only in SPHD
| Symbol | Name | Weight |
|---|---|---|
| CAG | CAG | 2.66% |
| CPB | CPB | 2.02% |
| CTRA | CTRA | 1.66% |
Largest positions reported only in SPY
| Symbol | Name | Weight |
|---|---|---|
| NVDA | NVDA | 7.90% |
| AAPL | AAPL | 6.79% |
| MSFT | MSFT | 5.64% |
| AMZN | AMZN | 4.08% |
| GOOGL | GOOGL | 3.14% |
Price Correlation
Methodology
What this report can and cannot establish
Known overlap: for each shared security, we add the smaller reported fund weight. Reported weights remain in their original scale.
Possible overlap: the upper bound adds only the smaller unreported portion. It is uncertainty, not an estimate that the missing positions actually match.
Prices: returns and risk use adjusted-close observations, so distributions and splits are reflected when supplied by the market-data source.
No recommendation: EigenDex does not assign a winner. Costs, tax treatment, liquidity and mandate should be verified with each issuer before acting.