XLE vs XLK: Complete Comparison

Energy Select Sector SPDR Fund vs Technology Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

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

Visual Overlap

XLE
XLK
0.0%
XLE Only
Overlap
XLK Only

Price Performance

Historical price comparison over 3M

XLE Return
+6.10%
XLK Return
+12.16%
Winner
XLK
+6.06%
Max Drawdown
XLE: -7.4%
XLK: -10.5%
XLE Volatility (annualized)17.69%
XLK Volatility (annualized)19.66%

📈 Comparison

Metric
XLE
XLK
1 Year Return
+8.2%
+35.2%
3 Year Return
+18.5%
+15.8%
5 Year Return
+12.8%
+25.5%
Volatility
28.50%
24.20%
Expense Ratio
0.10%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
XLE
XLK
Volatility
28.50%
24.20%
Sharpe Ratio
0.42
1.05
Sortino Ratio
0.58
1.42
Max Drawdown
-62.50%
-38.50%
Beta
1.35
1.22

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

3 - 14

🏆 XLK wins this comparison

Key Factors

💰 Expense Ratio
XLE:0.10%
vs
XLK:0.10%
🎯 Number of Holdings
XLE:21 holdings
vs
XLK:65 holdings
📈 5-Year Return
XLE:+12.8%
vs
XLK:+25.5%
Additional Metrics (5)
⚖️ Concentration Risk
XLE: 74.8% in top 10
XLK: 62.3% in top 10
📊 Assets Under Management
XLE: $32B
XLK: $55B ✓
Sharpe Ratio
XLE: 0.42
XLK: 1.05
📉 Volatility
XLE: 28.5%
XLK: 24.2%
🔍 Uniqueness vs SPY
XLE: 97.2% unique
XLK: 65.5% unique

Bottom line: XLK wins with better number of holdings and 5-year return. Both have the same expense ratio, so cost isn't a differentiator. Consider XLK 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

#StockXLE WeightXLK WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

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%

Top Holdings Only in XLK

Unique to XLK

Scroll horizontally to see all data
SymbolNameWeight
NVDANVDA14.84%
AAPLAAPL13.10%
MSFTMSFT11.75%
AVGOAVGO5.36%
PLTRPLTR3.75%

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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