ARKK vs SPY: Complete Comparison
ARK Innovation 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 and 5-year return. Consider SPY for your portfolio, but ARKK is still a solid choice if you prefer its specific advantages.
Detailed Overlap Analysis
12 shared holdings representing 9.8% portfolio overlap
Top Shared Holdings
| # | Stock | ARKK Weight | SPY Weight | Overlap |
|---|---|---|---|---|
| 1 | TSLA TESLA INC | 10.62% | 2.30% | 2.30% |
| 2 | AMZN AMAZON.COM INC | 2.07% | 3.81% | 2.07% |
| 3 | NVDA NVIDIA CORP | 1.17% | 7.73% | 1.17% |
| 4 | AVGO BROADCOM INC | 0.99% | 2.79% | 0.99% |
| 5 | GOOG ALPHABET INC-CL C | 0.84% | 2.47% | 0.84% |
| 6 | PLTR PALANTIR TECHNOLOGIES INC-A | 3.67% | 0.75% | 0.75% |
| 7 | AMD ADVANCED MICRO DEVICES | 4.13% | 0.59% | 0.59% |
| 8 | META META PLATFORMS INC-CLASS A | 0.35% | 2.45% | 0.35% |
| 9 | DE DEERE & CO | 1.37% | 0.20% | 0.20% |
| 10 | HOOD ROBINHOOD MARKETS INC - A | 4.27% | 0.16% | 0.16% |
Overlap by Sector
Showing top 5 sectors by overlap contribution
Top Holdings Only in ARKK
Unique to ARKK
| Symbol | Name | Weight |
|---|---|---|
| CRSP | CRISPR THERAPEUTICS AG | 6.27% |
| TEM | TEMPUS AI INC-CL A | 4.83% |
| SHOP | SHOPIFY INC - CLASS A | 4.75% |
| CRCL | CIRCLE INTERNET GROUP INC | 4.65% |
| ROKU | ROKU INC | 3.85% |
Top Holdings Only in SPY
Unique to SPY
| Symbol | Name | Weight |
|---|---|---|
| AAPL | AAPL | 6.82% |
| MSFT | MSFT | 6.11% |
| GOOGL | GOOGL | 3.08% |
| BRK-B | BRK-B | 1.55% |
| JPM | JPM | 1.51% |
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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