SPY vs DIA Overlap Analysis

Comparing SPDR S&P 500 ETF Trust and SPDR Dow Jones Industrial Average ETF

Holdings Overlap
10.52%
Very Low Overlap
Shared Holdings
10 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SPY
DIA
10.5%
SPY Only
Overlap
DIA Only

⚔️Head-to-Head Comparison

12 - 4

🏆 SPY wins this comparison

Key Factors

💰 Expense Ratio
SPY:0.09%
vs
DIA:0.16%
🎯 Number of Holdings
SPY:503 holdings
vs
DIA:30 holdings
📈 5-Year Return
SPY:+15.8%
vs
DIA:+13.2%
Additional Metrics (5)
⚖️ Concentration Risk
SPY: 39.8% in top 10
DIA: 0.7% in top 10
📊 Assets Under Management
SPY: $450B ✓
DIA: $35B
Sharpe Ratio
SPY: 0.82
DIA: 0.71
📉 Volatility
SPY: 18.2%
DIA: 17.5%
🔍 Uniqueness vs SPY
SPY: 0.0% unique
DIA: 89.5% unique

Bottom line: SPY wins with better expense ratio and number of holdings and 5-year return. Consider SPY for your portfolio, but DIA is still a solid choice if you prefer its specific advantages.

Shared Holdings (10 of 10 analyzed)

SPY & DIA Intersection

SymbolNameSPYDIAMin
UNHUNH0.50%0.10%0.10%
GSGS0.42%0.08%0.08%
MSFTMSFT6.24%0.07%0.07%
HDHD0.60%0.07%0.07%
CATCAT0.47%0.06%0.06%
AMGNAMGN0.31%0.06%0.06%
VV0.96%0.06%0.06%
CRMCRM0.38%0.05%0.05%
MCDMCD0.37%0.05%0.05%
BABA0.27%0.05%0.05%

Min Weight: The minimum weight between the two ETFs for each shared holding. This represents the true overlap contribution.

Data sourced from official fund providers. Showing top holdings for educational analysis.

Top Holdings Only in SPY

Unique to SPY

SymbolNameWeight
NVDANVDA7.59%
AAPLAAPL7.28%
AMZNAMZN3.90%
GOOGLGOOGL3.15%
AVGOAVGO3.08%

Price Correlation

How We Calculate Overlap

We use the minimum weight method with normalization to calculate portfolio overlap:

Overlap = Σ min(weightA, weightB) for each shared holding

Normalization: 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.

📊 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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