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.
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.
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.
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.
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.
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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.
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| SEMI | SMH | SEMI / SMH | |
| Gain YTD | 32.108 | 77.130 | 42% |
| Net Assets | 38.6M | 73.4B | 0% |
| Total Expense Ratio | 0.75 | 0.35 | 214% |
| Turnover | 65.00 | 12.00 | 542% |
| Yield | 3.52 | 0.18 | 1,906% |
| Fund Existence | 4 years | 14 years | - |
| SEMI | SMH | |
|---|---|---|
| RSI ODDS (%) | 1 day ago 82% | 1 day ago 84% |
| Stochastic ODDS (%) | 1 day ago 83% | 1 day ago 89% |
| Momentum ODDS (%) | N/A | N/A |
| MACD ODDS (%) | 1 day ago 90% | 1 day ago 88% |
| TrendWeek ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 3 days ago 90% | 1 day ago 90% |
| Declines ODDS (%) | 17 days ago 80% | 17 days ago 82% |
| BollingerBands ODDS (%) | 1 day ago 79% | 1 day ago 85% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SDD | 9.34 | 0.13 | +1.43% |
| ProShares UltraShort SmallCap600 | |||
| CTIF | 52.62 | 0.63 | +1.21% |
| Castellan Targeted Income ETF | |||
| EVF | 4.97 | N/A | -0.10% |
| Eaton Vance Senior Income Trust | |||
| DFVX | 82.50 | -0.10 | -0.12% |
| Dimensional US Large Cap Vector ETF | |||
| RSPT | 66.98 | -0.51 | -0.76% |
| Invesco S&P 500® Equal Weight Tech ETF | |||
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.
| Ticker / NAME | Correlation To SEMI | 1D Price Change % | ||
|---|---|---|---|---|
| SEMI | 100% | -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% | ||
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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 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.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +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% | ||
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