SMH vs FTEC: Complete Comparison

VanEck Semiconductor ETF vs Fidelity MSCI Information Technology Index ETF โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
28.62%
Low Overlap
Shared Holdings
3 of 10
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SMH
FTEC
28.6%
SMH Only
Overlap
FTEC Only

Price Performance

Historical price comparison over 3M

SMH Return
+48.40%
FTEC Return
+22.84%
Winner
SMH
+25.56%
Max Drawdown
SMH: -14.9%
FTEC: -13.7%
SMH Volatility (annualized)36.38%
FTEC Volatility (annualized)24.33%

๐Ÿ“ˆ Comparison

Metric
SMH
FTEC
1 Year Return
+45.2%
N/A
3 Year Return
+24.5%
N/A
5 Year Return
+30.2%
N/A
Volatility
33.80%
undefined%
Expense Ratio
0.35%โœ“
0.50%
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš”๏ธ Comparison

12 - 2

๐Ÿ† SMH wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SMH:0.35%โœ“
vs
FTEC:0.50%โœ“
๐ŸŽฏ Number of Holdings
SMH:25 holdingsโœ“
vs
FTEC:10 holdingsโœ“
โ–ถAdditional Metrics (3)
โš–๏ธ Concentration Risk
SMH: 75.2% in top 10
FTEC: 62.5% in top 10โœ“
๐Ÿ“Š Assets Under Management
SMH: $18Bโœ“
FTEC: $5B
๐Ÿ” Uniqueness vs SPY
SMH: 85.5% uniqueโœ“
FTEC: 73.9% unique

Bottom line: SMH wins with better expense ratio and number of holdings. Consider SMH for your portfolio, but FTEC is still a solid choice if you prefer its specific advantages.

Detailed Overlap Analysis

3 shared holdings representing 28.6% portfolio overlap

Top Shared Holdings

#StockSMH WeightFTEC WeightOverlap
1
NVDA
NVDA
16.92%13.85%13.85%
2
AVGO
AVGO
8.91%5.12%5.12%
3
AMD
AMD
5.63%2.18%2.18%

Overlap by Sector

Technology
3 stocks ยท 21.15% overlap

Showing top 5 sectors by overlap contribution

3
Shared Stocks
28.6%
Total Overlap
1
Sectors Represented

Top Holdings Only in SMH

Unique to SMH

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
TSMTSM9.45%
MUMU6.58%
AMATAMAT5.97%
ASMLASML5.68%
LRCXLRCX5.64%

Top Holdings Only in FTEC

Unique to FTEC

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
AAPLApple Inc16.52%
MSFTMicrosoft Corp14.18%
CRMSalesforce Inc2.42%
ORCLOracle Corp2.35%
ADBEAdobe Inc2.02%

Price Correlation

How We Calculate Overlap

We use the minimum weight method with normalization to calculate portfolio overlap:

Overlap = ฮฃ 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.

๐Ÿ“Š 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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