XLK vs XLF Overlap

Comparing Technology Select Sector SPDR Fund and Financial Select Sector SPDR Fund

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 70
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

XLK
XLF
0.0%
XLK Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

XLK Return
+12.16%
XLF Return
+6.68%
Winner
XLK
+5.48%
Max Drawdown
XLK: -10.5%
XLF: -5.6%
XLK Volatility (annualized)19.66%
XLF Volatility (annualized)13.17%

📈 Comparison

Metric
XLK
XLF
1 Year Return
+35.2%
+28.5%
3 Year Return
+15.8%
+10.5%
5 Year Return
+25.5%
+14.8%
Volatility
24.20%
21.50%
Expense Ratio
0.10%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
XLK
XLF
Volatility
24.20%
21.50%
Sharpe Ratio
1.05
0.65
Sortino Ratio
1.42
0.88
Max Drawdown
-38.50%
-55.20%
Beta
1.22
1.12

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

7 - 8

🏆 XLF wins this comparison

Key Factors

💰 Expense Ratio
XLK:0.10%
vs
XLF:0.10%
🎯 Number of Holdings
XLK:65 holdings
vs
XLF:68 holdings
📈 5-Year Return
XLK:+25.5%
vs
XLF:+14.8%
Additional Metrics (5)
⚖️ Concentration Risk
XLK: 62.3% in top 10
XLF: 55.7% in top 10
📊 Assets Under Management
XLK: $55B ✓
XLF: $40B
Sharpe Ratio
XLK: 1.05
XLF: 0.65
📉 Volatility
XLK: 24.2%
XLF: 21.5%
🔍 Uniqueness vs SPY
XLK: 65.5% unique
XLF: 86.3% 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 XLK 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

#StockXLK WeightXLF WeightOverlap
0
Shared Stocks
0.0%
Total Overlap
0
Sectors Represented

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%

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%

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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