SMH vs SPY: Complete Comparison

VanEck Semiconductor ETF vs SPDR S&P 500 ETF Trust โ€” overlap, correlation, performance & risk analysis

Holdings Overlap
14.53%
Very Low Overlap
Shared Holdings
18 of 25
Complete portfolio analysis
Calculation Method
Min Weight
Weighted intersection

Visual Overlap

SMH
SPY
14.5%
SMH Only
Overlap
SPY Only

Price Performance

Historical price comparison over 3M

SMH Return
+48.40%
SPY Return
+8.30%
Winner
SMH
+40.10%
Max Drawdown
SMH: -14.9%
SPY: -8.9%
SMH Volatility (annualized)36.38%
SPY Volatility (annualized)14.07%

๐Ÿ“ˆ Comparison

Metric
SMH
SPY
1 Year Return
+45.2%โœ“
+26.5%
3 Year Return
+24.5%โœ“
+10.2%
5 Year Return
+30.2%โœ“
+15.8%
Volatility
33.80%
18.20%โœ“
Expense Ratio
0.35%
0.09%โœ“
โš ๏ธ Past performance does not guarantee future results. Data may be delayed.

โš ๏ธRisk Metrics

Metric
SMH
SPY
Volatility
33.80%
18.20%โœ“
Sharpe Ratio
0.88โœ“
0.82
Sortino Ratio
1.18
1.15
Max Drawdown
-44.50%
-33.90%โœ“
Beta
1.38
1.00

Interpretation:

  • ๐Ÿ“Š Lower volatility = smoother ride
  • โšก Higher Sharpe/Sortino = better risk-adjusted returns
  • โš ๏ธ Smaller max drawdown = less worst-case pain
  • ๐Ÿ“ˆ Beta > 1 = more volatile than S&P 500

โš”๏ธ Comparison

5 - 13

๐Ÿ† SPY wins this comparison

Key Factors

๐Ÿ’ฐ Expense Ratio
SMH:0.35%โœ“
vs
SPY:0.09%โœ“
๐ŸŽฏ Number of Holdings
SMH:25 holdingsโœ“
vs
SPY:503 holdingsโœ“
๐Ÿ“ˆ 5-Year Return
SMH:+30.2%โœ“
vs
SPY:+15.8%โœ“
โ–ถAdditional Metrics (5)
โš–๏ธ Concentration Risk
SMH: 75.2% in top 10
SPY: 39.1% in top 10โœ“
๐Ÿ“Š Assets Under Management
SMH: $18B
SPY: $450B โœ“โœ“
โšก Sharpe Ratio
SMH: 0.88
SPY: 0.82
๐Ÿ“‰ Volatility
SMH: 33.8%
SPY: 18.2%โœ“
๐Ÿ” Uniqueness vs SPY
SMH: 85.5% uniqueโœ“
SPY: -0.0% unique

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

Detailed Overlap Analysis

18 shared holdings representing 14.5% portfolio overlap

Top Shared Holdings

#StockSMH WeightSPY WeightOverlap
1
NVDA
NVDA
16.92%7.73%7.73%
2
AVGO
AVGO
8.91%2.79%2.79%
3
AMD
AMD
5.63%0.59%0.59%
4
MU
MU
6.58%0.54%0.54%
5
LRCX
LRCX
5.64%0.38%0.38%
6
AMAT
AMAT
5.97%0.35%0.35%
7
QCOM
QCOM
4.04%0.32%0.32%
8
CDNS
CDNS
2.62%0.30%0.30%
9
KLAC
KLAC
4.75%0.28%0.28%
10
INTC
INTC
5.63%0.27%0.27%

Overlap by Sector

Technology
14 stocks ยท 14.13% overlap
Other
4 stocks ยท 0.37% overlap

Showing top 5 sectors by overlap contribution

18
Shared Stocks
14.5%
Total Overlap
2
Sectors Represented

Top Holdings Only in SMH

Unique to SMH

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
TSMTSM9.45%
ASMLASML5.68%
MRVLMRVL1.97%
TERTER0.89%
STMSTM0.62%

Top Holdings Only in SPY

Unique to SPY

โ†Scroll horizontally to see all dataโ†’
SymbolNameWeight
AAPLAAPL6.82%
MSFTMSFT6.11%
AMZNAMZN3.81%
GOOGLGOOGL3.08%
GOOGGOOG2.47%

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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