XLF vs XLE Overlap

Comparing Financial 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

XLF
XLE
0.0%
XLF Only
Overlap
XLE Only

Price Performance

Historical price comparison over 3M

XLF Return
+6.68%
XLE Return
+6.10%
Winner
XLF
+0.58%
Max Drawdown
XLF: -5.6%
XLE: -7.4%
XLF Volatility (annualized)13.17%
XLE Volatility (annualized)17.69%

📈 Comparison

Metric
XLF
XLE
1 Year Return
+28.5%
+8.2%
3 Year Return
+10.5%
+18.5%
5 Year Return
+14.8%
+12.8%
Volatility
21.50%
28.50%
Expense Ratio
0.10%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
XLF
XLE
Volatility
21.50%
28.50%
Sharpe Ratio
0.65
0.42
Sortino Ratio
0.88
0.58
Max Drawdown
-55.20%
-62.50%
Beta
1.12
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 - 2

🏆 XLF wins this comparison

Key Factors

💰 Expense Ratio
XLF:0.10%
vs
XLE:0.10%
🎯 Number of Holdings
XLF:68 holdings
vs
XLE:21 holdings
📈 5-Year Return
XLF:+14.8%
vs
XLE:+12.8%
Additional Metrics (5)
⚖️ Concentration Risk
XLF: 55.7% in top 10
XLE: 74.8% in top 10
📊 Assets Under Management
XLF: $40B
XLE: $32B
Sharpe Ratio
XLF: 0.65
XLE: 0.42
📉 Volatility
XLF: 21.5%
XLE: 28.5%
🔍 Uniqueness vs SPY
XLF: 86.3% unique
XLE: 97.2% unique

Bottom line: XLF wins with better number of holdings. Both have the same expense ratio, so cost isn't a differentiator. Consider XLF 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

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

Top Holdings Only in XLF

Unique to XLF

Scroll horizontally to see all data
SymbolNameWeight
BRK-BBRK-B11.80%
JPMJPM10.82%
VV7.26%
MAMA5.81%
BACBAC4.78%

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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