SMH vs XLF: Complete Comparison

VanEck Semiconductor ETF vs Financial Select Sector SPDR Fund — overlap, correlation, performance & risk analysis

Holdings Overlap
0.00%
Very Low Overlap
Shared Holdings
0 of 25
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SMH
XLF
0.0%
SMH Only
Overlap
XLF Only

Price Performance

Historical price comparison over 3M

SMH Return
+48.40%
XLF Return
-3.58%
Winner
SMH
+51.98%
Max Drawdown
SMH: -14.9%
XLF: -11.7%
SMH Volatility (annualized)36.38%
XLF Volatility (annualized)16.26%

📈 Comparison

Metric
SMH
XLF
1 Year Return
+45.2%
+28.5%
3 Year Return
+24.5%
+10.5%
5 Year Return
+30.2%
+14.8%
Volatility
33.80%
21.50%
Expense Ratio
0.35%
0.10%
⚠️ Past performance does not guarantee future results. Data may be delayed.

⚠️Risk Metrics

Metric
SMH
XLF
Volatility
33.80%
21.50%
Sharpe Ratio
0.88
0.65
Sortino Ratio
1.18
0.88
Max Drawdown
-44.50%
-55.20%
Beta
1.38
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

5 - 15

🏆 XLF wins this comparison

Key Factors

💰 Expense Ratio
SMH:0.35%
vs
XLF:0.10%
🎯 Number of Holdings
SMH:25 holdings
vs
XLF:68 holdings
📈 5-Year Return
SMH:+30.2%
vs
XLF:+14.8%
Additional Metrics (5)
⚖️ Concentration Risk
SMH: 75.2% in top 10
XLF: 55.7% in top 10
📊 Assets Under Management
SMH: $18B
XLF: $40B
Sharpe Ratio
SMH: 0.88
XLF: 0.65
📉 Volatility
SMH: 33.8%
XLF: 21.5%
🔍 Uniqueness vs SPY
SMH: 85.5% unique
XLF: 86.3% unique

Bottom line: XLF wins with better expense ratio and number of holdings. Consider XLF for your portfolio, but SMH 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

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

Top Holdings Only in SMH

Unique to SMH

Scroll horizontally to see all data
SymbolNameWeight
NVDANVDA16.92%
TSMTSM9.45%
AVGOAVGO8.91%
MUMU6.58%
AMATAMAT5.97%

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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