Investors seeking semiconductor exposure often compare Columbia Select Technology ETF (SEMI) and VanEck Semiconductor ETF (SMH) because both target the same high-growth industry but employ different strategies. SEMI uses active management to select semiconductor and technology companies, while SMH provides passive, index-based exposure to leading semiconductor firms. These ETFs serve as alternatives rather than direct competitors, appealing to investors with varying views on active versus passive approaches within the semiconductor sector.
Columbia Select Technology ETF (SEMI) is an actively managed exchange-traded fund that invests at least 80% of its assets in securities of semiconductor, semiconductor equipment, and related technology companies. The fund typically holds a concentrated portfolio with the top 10 holdings representing approximately 65.9% of assets. Key positions often include companies such as NVDA, AAPL, AVGO, and MU. Sector allocations are heavily weighted toward technology at over 80%, with smaller exposures to communication services and financial services. SEMI carries an expense ratio of 0.75% and employs discretionary stock selection rather than strict index replication, allowing the manager to adjust holdings based on fundamental analysis.
VanEck Semiconductor ETF (SMH) is a passive exchange-traded fund that seeks to replicate the performance of the MVIS US Listed Semiconductor 25 Index before fees and expenses. The index includes 25 US-listed companies involved in semiconductor production and equipment. SMH maintains a diversified yet concentrated structure within its mandate, typically featuring top holdings such as NVDA, Taiwan Semiconductor Manufacturing Company, AVGO, and AMD. The fund allocates nearly all assets to the technology sector with a strict semiconductor focus. SMH features an expense ratio of 0.35% and follows a rules-based rebalancing methodology tied to the underlying index, emphasizing liquidity and market capitalization within the semiconductor space.
The semiconductor industry continues to benefit from structural demand drivers including artificial intelligence adoption, advanced computing, electric vehicles, and 5G infrastructure expansion. Capital flows into the sector remain robust amid ongoing technological innovation and supply chain investments. Macroeconomic factors such as interest rate expectations and global trade dynamics influence capital allocation, while regulatory developments around export controls and technology leadership add complexity. Sector risks include cyclical inventory adjustments, geopolitical tensions affecting supply chains, and valuation sensitivity to growth expectations. Both ETFs operate within this environment, providing investors with tools to gain exposure to these long-term themes.
In recent market cycles, both ETFs have exhibited strong correlation to semiconductor earnings growth and technology spending trends. SMH’s passive structure has delivered consistent exposure aligned with the broader semiconductor index, resulting in lower tracking error and cost drag. SEMI’s active approach introduces potential for differentiated returns through selective positioning but also carries higher expense impact and manager-specific risk. Relative positioning shows SMH offering tighter alignment with large-cap semiconductor leaders, while SEMI may tilt toward additional technology names outside pure semiconductor manufacturing. Volatility differences arise primarily from concentration levels and management style, with both funds sensitive to sector rotation and macroeconomic shifts affecting technology valuations.
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, technical indicators, price patterns, and performance metrics. The screener helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors comparing ETFs such as Columbia Select Technology ETF (SEMI) and VanEck Semiconductor ETF (SMH) may find the tool useful for exploring related opportunities in the semiconductor sector.
Based on structural characteristics, Tickeron’s AI would currently assign a higher probability of preference to VanEck Semiconductor ETF (SMH). The lower expense ratio, transparent passive methodology, and focused index tracking provide cost efficiency and consistent sector exposure. While Columbia Select Technology ETF (SEMI) offers active flexibility, the higher cost and concentration introduce additional variables that may reduce relative appeal in a standardized evaluation framework emphasizing efficiency and diversification within the semiconductor theme.
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.
| SEMI | SMH | SEMI / SMH | |
| Gain YTD | 23.704 | 55.616 | 43% |
| Net Assets | 39.8M | 66.8B | 0% |
| Total Expense Ratio | 0.75 | 0.35 | 214% |
| Turnover | 65.00 | 12.00 | 542% |
| Yield | 3.74 | 0.20 | 1,830% |
| Fund Existence | 4 years | 15 years | - |
| SEMI | SMH | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 82% |
| Stochastic ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 87% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 82% | 3 days ago 90% |
| TrendWeek ODDS (%) | 3 days ago 83% | 3 days ago 87% |
| TrendMonth ODDS (%) | 3 days ago 82% | 3 days ago 87% |
| Advances ODDS (%) | 3 days ago 89% | 11 days ago 90% |
| Declines ODDS (%) | 5 days ago 80% | 5 days ago 81% |
| BollingerBands ODDS (%) | 3 days ago 77% | 3 days ago 87% |
| Aroon ODDS (%) | 3 days ago 77% | 3 days ago 83% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| GSIE | 48.15 | 0.32 | +0.67% |
| Goldman Sachs ActiveBeta® Intl Eq ETF | |||
| SPE | 13.38 | 0.06 | +0.45% |
| Special Opportunities Fund | |||
| KNOV | 32.25 | 0.11 | +0.34% |
| Innovator U.S. Small Cp Pwr Buf ETF -Nov | |||
| PTF | 102.36 | -0.60 | -0.58% |
| Invesco Dorsey Wright Technology MomtETF | |||
| EWV | 16.86 | -0.34 | -2.00% |
| ProShares UltraShort MSCI Japan | |||
A.I.dvisor indicates that over the last year, SEMI has been closely correlated with TSM. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if SEMI jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To SEMI | 1D Price Change % | ||
|---|---|---|---|---|
| SEMI | 100% | +0.01% | ||
| TSM - SEMI | 81% Closely correlated | +0.71% | ||
| AVGO - SEMI | 72% Closely correlated | +1.21% | ||
| TER - SEMI | 69% Closely correlated | -1.93% | ||
| STM - SEMI | 64% Loosely correlated | +1.28% | ||
| MRVL - SEMI | 64% Loosely correlated | -5.57% | ||
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A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 89% 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.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | -0.40% | ||
| LRCX - SMH | 89% Closely correlated | +1.12% | ||
| AMAT - SMH | 86% Closely correlated | -0.78% | ||
| KLAC - SMH | 85% Closely correlated | -1.01% | ||
| ASML - SMH | 84% Closely correlated | +0.77% | ||
| TSM - SMH | 83% Closely correlated | +0.71% | ||
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