XLV vs XLE Overlap

Comparing Health Care Select Sector SPDR Fund and Energy Select Sector SPDR Fund

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 22
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

XLV
XLE
0.0%
XLV Only
Overlap
XLE Only

Price Performance

Historical price comparison over 3M

XLV Return
+14.93%
XLE Return
+6.10%
Winner
XLV
+8.83%
Max Drawdown
XLV: -5.6%
XLE: -7.4%
XLV Volatility (annualized)13.94%
XLE Volatility (annualized)17.69%

📈 Comparison

Metric
XLV
XLE
1 Year Return
+12.5%
+8.2%
3 Year Return
+6.8%
+18.5%
5 Year Return
+11.2%
+12.8%
Volatility
15.80%
28.50%
Expense Ratio
0.10%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
XLV
XLE
Volatility
15.80%
28.50%
Sharpe Ratio
0.68
0.42
Sortino Ratio
0.95
0.58
Max Drawdown
-25.20%
-62.50%
Beta
0.72
1.35

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

11 - 3

🏆 XLV wins this comparison

Key Factors

💰 Expense Ratio
XLV:0.10%
vs
XLE:0.10%
🎯 Number of Holdings
XLV:64 holdings
vs
XLE:21 holdings
📈 5-Year Return
XLV:+11.2%
vs
XLE:+12.8%
Additional Metrics (5)
⚖️ Concentration Risk
XLV: 57.5% in top 10
XLE: 74.8% in top 10
📊 Assets Under Management
XLV: $35B
XLE: $32B
Sharpe Ratio
XLV: 0.68
XLE: 0.42
📉 Volatility
XLV: 15.8%
XLE: 28.5%
🔍 Uniqueness vs SPY
XLV: 90.5% unique
XLE: 97.2% unique

Bottom line: XLV wins with better number of holdings. Both have the same expense ratio, so cost isn't a differentiator. Consider XLV for your portfolio, but XLE 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

#StockXLV WeightXLE WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

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%

Top Holdings Only in XLE

Unique to XLE

Scroll horizontally to see all data
SymbolNameWeight
XOMXOM23.35%
CVXCVX16.91%
COPCOP6.90%
WMBWMB4.55%
MPCMPC3.98%

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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