EFA vs XLV Overlap

Comparing iShares MSCI EAFE ETF and Health Care Select Sector SPDR Fund

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 17
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

EFA
XLV
0.0%
EFA Only
Overlap
XLV Only

Price Performance

Historical price comparison over 3M

EFA Return
+6.58%
XLV Return
+14.93%
Winner
XLV
+8.35%
Max Drawdown
EFA: -5.5%
XLV: -5.6%
EFA Volatility (annualized)10.97%
XLV Volatility (annualized)13.94%

📈 Comparison

Metric
EFA
XLV
1 Year Return
+14.5%
+12.5%
3 Year Return
+5.2%
+6.8%
5 Year Return
+8.5%
+11.2%
Volatility
19.50%
15.80%
Expense Ratio
0.32%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
EFA
XLV
Volatility
19.50%
15.80%
Sharpe Ratio
0.38
0.68
Sortino Ratio
0.52
0.95
Max Drawdown
-42.50%
-25.20%
Beta
0.85
0.72

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

⚔️ Comparison

10 - 10

Key Factors

💰 Expense Ratio
EFA:0.32%
vs
XLV:0.10%
🎯 Number of Holdings
EFA:827 holdings
vs
XLV:64 holdings
📈 5-Year Return
EFA:+8.5%
vs
XLV:+11.2%
Additional Metrics (5)
⚖️ Concentration Risk
EFA: 1.6% in top 10
XLV: 57.5% in top 10
📊 Assets Under Management
EFA: $75B ✓
XLV: $35B
Sharpe Ratio
EFA: 0.38
XLV: 0.68
📉 Volatility
EFA: 19.5%
XLV: 15.8%
🔍 Uniqueness vs SPY
EFA: 100.0% unique
XLV: 90.5% unique

Bottom line: EFA and XLV are very similar. Choose based on your broker's commission structure or personal preference.

Detailed Overlap Analysis

0 shared holdings representing 0.0% portfolio overlap

Top Shared Holdings

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

Top Holdings Only in EFA

Unique to EFA

Scroll horizontally to see all data
SymbolNameWeight
RACERACE0.24%
SESE0.24%
NBISNBIS0.22%
ALCALC0.20%
WDSWDS0.16%

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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