Exposure report
IYH vs QQQ
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
Latest adjusted-close observations: IYH 2026-10-07 · QQQ 2026-10-07.
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
10 positions account for a known minimum overlap of 5.1%.
Top Shared Holdings
| # | Stock | IYH Weight | QQQ Weight | Overlap |
|---|---|---|---|---|
| 1 | ISRG ISRG | 3.60% | 1.11% | 1.11% |
| 2 | AMGN AMGN | 3.21% | 0.97% | 0.97% |
| 3 | GILD GILD | 2.69% | 0.84% | 0.84% |
| 4 | VRTX VRTX | 1.95% | 0.64% | 0.64% |
| 5 | REGN REGN | 1.24% | 0.44% | 0.44% |
| 6 | IDXX IDXX | 1.01% | 0.30% | 0.30% |
| 7 | ALNY ALNY | 0.99% | 0.29% | 0.29% |
| 8 | GEHC GEHC | 0.59% | 0.21% | 0.21% |
| 9 | INSM INSM | 0.64% | 0.20% | 0.20% |
| 10 | DXCM DXCM | 0.40% | 0.14% | 0.14% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Largest positions reported only in IYH
| Symbol | Name | Weight |
|---|---|---|
| LLY | LLY | 13.96% |
| JNJ | JNJ | 8.22% |
| ABBV | ABBV | 7.03% |
| UNH | UNH | 5.25% |
| MRK | MRK | 4.04% |
Largest positions reported only in QQQ
| Symbol | Name | Weight |
|---|---|---|
| NVDA | NVDA | 8.99% |
| AAPL | AAPL | 7.94% |
| MSFT | MSFT | 7.12% |
| AMZN | AMZN | 4.87% |
| TSLA | TSLA | 4.21% |
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.