IWF vs SPY: Complete Comparison
iShares Russell 1000 Growth ETF vs SPDR S&P 500 ETF Trust โ overlap, correlation, performance & risk analysis
Visual Overlap
Price Performance
Historical price comparison over 3M
๐Performance Comparison
โ ๏ธRisk Metrics
Interpretation:
- ๐ Lower volatility = smoother ride
- โก Higher Sharpe/Sortino = better risk-adjusted returns
- โ ๏ธ Smaller max drawdown = less worst-case pain
- ๐ Beta > 1 = more volatile than S&P 500
โ๏ธHead-to-Head Comparison
๐ SPY wins this comparison
Key Factors
โถAdditional Metrics (5)
Bottom line: SPY wins with better expense ratio and number of holdings. Consider SPY for your portfolio, but IWF is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
177 shared holdings representing 60.4% portfolio overlap
Top Shared Holdings
| # | Stock | IWF Weight | SPY Weight | Overlap |
|---|---|---|---|---|
| 1 | NVDA NVIDIA CORP | 12.71% | 7.73% | 7.73% |
| 2 | AAPL APPLE INC | 11.91% | 6.82% | 6.82% |
| 3 | MSFT MICROSOFT CORP | 10.73% | 6.11% | 6.11% |
| 4 | AMZN AMAZON COM INC | 4.24% | 3.81% | 3.81% |
| 5 | GOOGL ALPHABET INC CLASS A | 3.56% | 3.08% | 3.08% |
| 6 | AVGO BROADCOM INC | 5.62% | 2.79% | 2.79% |
| 7 | GOOG ALPHABET INC CLASS C | 2.91% | 2.47% | 2.47% |
| 8 | META META PLATFORMS INC CLASS A | 3.29% | 2.45% | 2.45% |
| 9 | TSLA TESLA INC | 3.85% | 2.30% | 2.30% |
| 10 | LLY ELI LILLY | 2.47% | 1.44% | 1.44% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in IWF
Unique to IWF
| Symbol | Name | Weight |
|---|---|---|
| SPOT | SPOTIFY TECHNOLOGY SA | 0.28% |
| DASH | DOORDASH INC CLASS A | 0.26% |
| SNOW | SNOWFLAKE INC | 0.22% |
| VRT | VERTIV HOLDINGS CLASS A | 0.21% |
| NET | CLOUDFLARE INC CLASS A | 0.20% |
Top Holdings Only in SPY
Unique to SPY
| Symbol | Name | Weight |
|---|---|---|
| BRK-B | BRK-B | 1.55% |
| JPM | JPM | 1.51% |
| XOM | XOM | 0.85% |
| JNJ | JNJ | 0.84% |
| PG | PG | 0.57% |
Price Correlation
How We Calculate Overlap
We use the minimum weight method with normalization to calculate portfolio overlap:
Overlap = ฮฃ min(weightA, weightB) for each shared holdingNormalization: Holdings weights are normalized to sum to 100% before comparison. This ensures accurate overlap calculations even when analyzing partial holdings data (e.g., top 50 positions).
Conservative approach: We consider only the smaller allocation for each shared position, giving you a realistic view of true portfolio overlap.
๐ This analysis is based on publicly available holdings data. For the most current and complete holdings information, please visit the official ETF provider websites.
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