SEMI
Price
$39.66
Change
-$0.82 (-2.03%)
Updated
Jun 4, 12:14 PM (EDT)
Net Assets
38.63M
Intraday BUY SELL Signals
SMH
Price
$624.62
Change
-$13.28 (-2.08%)
Updated
Jun 4, 01:20 PM (EDT)
Net Assets
73.41B
Intraday BUY SELL Signals
Interact to see
Advertisement

SEMI vs SMH

Header iconSEMI vs SMH Comparison
Open Charts SEMI vs SMHBanner chart's image
SEMI vs SMH Comparison Chart in %
View a ticker or compare two or three

Which ETF would AI Choose? Columbia Select Technology ETF (SEMI) vs. VanEck Semiconductor ETF (SMH)

Key Takeaways

  • SEMI is an actively managed fund targeting semiconductor and related technology companies with 35 holdings and a higher expense ratio of 0.75%, offering broader tech exposure including software giants like Microsoft and Apple.
  • SMH is a passive ETF tracking the MVIS US Listed Semiconductor 25 Index with 26 holdings and a lower expense ratio of 0.35%, providing concentrated pure-play semiconductor exposure.
  • Both ETFs share top holdings like NVDA and AVGO, but SMH allocates 100% to technology/semiconductors while SEMI diversifies into communication services (9.48%).
  • SMH demonstrates superior liquidity with over $65 billion in assets under management (AUM), compared to SEMI's smaller scale around $42 million.
  • SMH's market-cap-weighted approach favors industry leaders, while SEMI's active strategy emphasizes high-conviction picks across market caps for potential alpha generation.
  • Cost efficiency and structural purity position SMH for lower-risk sector rotation plays, whereas SEMI suits investors seeking active management in broader tech disruption themes.

Introduction

SEMI and SMH represent compelling options for investors seeking exposure to the semiconductor sector, a cornerstone of artificial intelligence (AI), cloud computing, and advanced manufacturing. While both ETFs target companies driving chip innovation, SEMI offers active management with broader technology integration, including software and services, contrasting SMH's passive, pure-semiconductor focus. This comparison is particularly relevant amid surging demand for AI accelerators and data center infrastructure, where sector capital flows have concentrated in leading chip designers and fabricators. Investors weigh SEMI's potential for outperformance through stock selection against SMH's cost-effective, index-driven precision in capturing semiconductor cycles.

Columbia Select Technology ETF (SEMI) Overview

The Columbia Select Technology ETF (SEMI), issued by Columbia Threadneedle, is an actively managed fund seeking long-term capital appreciation. It invests at least 80% of its net assets in securities of semiconductor, semiconductor equipment, and related technology companies, employing a conviction-weighted approach with 30–50 high-confidence positions. The fund holds approximately 35 securities, focusing on global innovators across market caps driven by disruptive themes like AI and secular growth.

Top holdings include NVDA (17.63%), AVGO (9.27%), AAPL (8.51%), MSFT (7.69%), and LRCX (6.74%). Sector allocation emphasizes technology (82.29%), with communication services (9.48%), financial services (4.38%), and consumer cyclical (3.85%). The gross expense ratio is 0.75%, reflecting active management costs. Launched in March 2022, SEMI does not track a benchmark index, prioritizing dynamic valuation and research-driven picks over rigid rebalancing.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) is a passive exchange-traded fund that seeks to replicate the MVIS US Listed Semiconductor 25 Index (MVSMHTR), targeting the performance of the 25 most liquid U.S.-exchange-listed companies involved in semiconductor production and equipment. These firms, including medium-cap and U.S.-listed foreign entities, must derive at least 50% of revenue from semiconductors. The fund holds 26 securities in a market-cap-weighted manner, with quarterly rebalancing to maintain liquidity focus.

Top holdings feature NVDA (18.09%), TSM (10.59%), AVGO (7.83%), INTC (7.14%), and AMD (5.95%). Sector allocation is 100% technology, ensuring pure semiconductor exposure. The expense ratio is 0.35%. With inception in December 2011 and substantial AUM exceeding $65 billion, SMH offers high liquidity and non-diversified structure emphasizing industry leaders.

Industry and Thematic Backdrop

The semiconductor sector powers the AI revolution, 5G expansion, electric vehicles, and edge computing, with catalysts including surging data center builds and geopolitical pushes for supply chain resilience via the CHIPS Act (Creating Helpful Incentives to Produce Semiconductors). Capital flows have favored AI chip leaders amid macroeconomic shifts like moderating interest rates, though risks persist from cyclical downturns, U.S.-China trade tensions, and inventory gluts. Regulatory scrutiny on antitrust and export controls adds volatility, while macroeconomic drivers such as commodity prices for rare earths and sector rotation into value names influence performance. Both ETFs benefit from these trends but face concentration risks in top holdings.

Performance and Positioning Comparison

In recent market cycles, SMH has demonstrated stronger relative positioning due to its concentrated exposure to high-momentum leaders like NVDA and TSM, outperforming broader tech amid AI-driven sector rotation. SEMI, blending semiconductors with software/services, exhibits moderated volatility but trails in pure chip upswings, connecting to earnings strength in top holdings and interest rate sensitivity. SMH's higher beta reflects amplified semiconductor volatility, while SEMI's active flexibility aids navigation of earnings cycles and geopolitical shifts. Over recent months, both have benefited from commodity tailwinds in memory chips and macro optimism, though SMH leads in trend consistency.

AI Screener

Tickeron’s AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes. Explore the AI Screener today to uncover semiconductor opportunities.

Tickeron AI Verdict

Tickeron’s AI currently favors SMH with moderate conviction (65% probability edge over 6–12 months). Its lower expense ratio, superior liquidity, 100% semiconductor purity, and consistent trend alignment with sector momentum outweigh SEMI’s active diversification. SMH’s structural efficiency and concentration in proven leaders position it better for ongoing AI capital flows, though SEMI may appeal in rotation-heavy environments.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
SEMI vs. SMH commentary
Jun 04, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is SEMI is a Buy and SMH is a Hold.

Interact to see
Advertisement
SUMMARIES
Loading...
FUNDAMENTALS
Fundamentals
SMH has more net assets: 73.4B vs. SEMI (38.6M). SMH has a higher annual dividend yield than SEMI: SMH (77.130) vs SEMI (32.108). SEMI was incepted earlier than SMH: SEMI (4 years) vs SMH (14 years). SMH (0.35) has a lower expense ratio than SEMI (0.75). SEMI has a higher turnover SMH (12.00) vs SMH (12.00).
SEMISMHSEMI / SMH
Gain YTD32.10877.13042%
Net Assets38.6M73.4B0%
Total Expense Ratio0.750.35214%
Turnover65.0012.00542%
Yield3.520.181,906%
Fund Existence4 years14 years-
TECHNICAL ANALYSIS
Technical Analysis
SEMISMH
RSI
ODDS (%)
Bearish Trend 1 day ago
82%
Bearish Trend 1 day ago
84%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
83%
Bearish Trend 1 day ago
89%
Momentum
ODDS (%)
N/A
N/A
MACD
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
88%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
TrendMonth
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
Advances
ODDS (%)
Bullish Trend 3 days ago
90%
Bullish Trend 1 day ago
90%
Declines
ODDS (%)
Bearish Trend 17 days ago
80%
Bearish Trend 17 days ago
82%
BollingerBands
ODDS (%)
Bearish Trend 1 day ago
79%
Bearish Trend 1 day ago
85%
Aroon
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
View a ticker or compare two or three
Interact to see
Advertisement
SEMI
Daily Signal:
Gain/Loss:
SMH
Daily Signal:
Gain/Loss:
Interesting Tickers
1D
1W
1M
1Q
6M
1Y
5Y
1 Day
ETFs / NAMEPrice $Chg $Chg %
SDD9.340.13
+1.43%
ProShares UltraShort SmallCap600
CTIF52.620.63
+1.21%
Castellan Targeted Income ETF
EVF4.97N/A
-0.10%
Eaton Vance Senior Income Trust
DFVX82.50-0.10
-0.12%
Dimensional US Large Cap Vector ETF
RSPT66.98-0.51
-0.76%
Invesco S&P 500® Equal Weight Tech ETF

SEMI and

Correlation & Price change

A.I.dvisor indicates that over the last year, SEMI has been closely correlated with NVDA. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if SEMI jumps, then NVDA could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SEMI
1D Price
Change %
SEMI100%
-0.46%
NVDA - SEMI
76%
Closely correlated
-3.62%
TSM - SEMI
76%
Closely correlated
-2.24%
LRCX - SEMI
73%
Closely correlated
+2.78%
AVGO - SEMI
72%
Closely correlated
-0.49%
ASML - SEMI
70%
Closely correlated
+1.23%
More

SMH and

Correlation & Price change

A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SMH
1D Price
Change %
SMH100%
+0.90%
LRCX - SMH
85%
Closely correlated
+2.78%
KLAC - SMH
82%
Closely correlated
+3.91%
AMAT - SMH
81%
Closely correlated
+2.19%
TSM - SMH
80%
Closely correlated
-2.24%
ASML - SMH
79%
Closely correlated
+1.23%
More