IEFA vs XLV: Complete Comparison

iShares Core MSCI EAFE ETF vs Health Care Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

IEFA
XLV
0.0%
IEFA Only
Overlap
XLV Only

Price Performance

Historical price comparison over 3M

IEFA Return
+4.28%
XLV Return
-8.75%
Winner
IEFA
+13.03%
Max Drawdown
IEFA: -11.5%
XLV: -10.5%
IEFA Volatility (annualized)19.92%
XLV Volatility (annualized)14.75%

📈 Comparison

Metric
IEFA
XLV
1 Year Return
N/A
+12.5%
3 Year Return
N/A
+6.8%
5 Year Return
N/A
+11.2%
Volatility
undefined%
15.80%
Expense Ratio
0.50%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚔️ Comparison

4 - 10

🏆 XLV wins this comparison

Key Factors

💰 Expense Ratio
IEFA:0.50%
vs
XLV:0.10%
🎯 Number of Holdings
IEFA:10 holdings
vs
XLV:64 holdings
Additional Metrics (3)
⚖️ Concentration Risk
IEFA: 14.3% in top 10
XLV: 57.5% in top 10
📊 Assets Under Management
IEFA: $5B
XLV: $35B
🔍 Uniqueness vs SPY
IEFA: 100.0% unique
XLV: 90.5% unique

Bottom line: XLV wins with better expense ratio and number of holdings. Consider XLV for your portfolio, but IEFA is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

0 shared holdings representing 0.0% portfolio overlap

Top Shared Holdings

#StockIEFA WeightXLV WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

Top Holdings Only in IEFA

Unique to IEFA

Scroll horizontally to see all data
SymbolNameWeight
NOVO-B.CONovo Nordisk A/S2.15%
ASML.ASASML Holding NV2.08%
NESN.SWNestle SA1.62%
AZN.LAstraZeneca plc1.45%
SHEL.LShell plc1.38%

Top Holdings Only in XLV

Unique to XLV

Scroll horizontally to see all data
SymbolNameWeight
LLYLLY14.33%
JNJJNJ8.84%
ABBVABBV7.23%
UNHUNH5.38%
MRKMRK4.44%

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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