Investors seeking exposure to the semiconductor sector often compare specialized exchange-traded funds (ETFs) that track industry benchmarks. Xtrackers Semiconductor Select Equity ETF (CHPS) and VanEck Semiconductor ETF (SMH) both deliver passive strategies focused on semiconductor companies, yet they employ distinct index methodologies and portfolio constructions. These ETFs serve as alternatives rather than direct competitors, allowing investors to select based on preferences for diversification, cost, and geographic emphasis within the same thematic space. The comparison highlights structural differences relevant to portfolio allocation decisions in the current market environment.
CHPS is a passive ETF that seeks to replicate the performance of the Solactive Semiconductor Focus Index before fees and expenses. The index selects approximately 50 to 60 global companies involved in the semiconductor industry, with a market-capitalization weighting approach. As of recent data, the fund holds around 53 to 61 securities, with top holdings including Broadcom Inc. (AVGO), NVIDIA Corp. (NVDA), ASML Holding NV (ASML), Lam Research Corp. (LRCX), and Taiwan Semiconductor Manufacturing Co. Ltd. (TSM), each typically representing 4% to 5% of the portfolio. Sector allocation is overwhelmingly concentrated in information technology (over 98%), with minimal exposure elsewhere. The expense ratio stands at 0.15%, and the fund employs a standard passive rebalancing methodology aligned with index changes. This structure provides diversified access to semiconductor leaders across multiple regions.
SMH is a passive ETF designed to replicate the MVIS US Listed Semiconductor 25 Index before fees and expenses. The index focuses on 25 U.S.-listed companies engaged in semiconductor production and equipment. The fund maintains approximately 26 holdings, with significant concentration in leading names such as NVIDIA Corp. (NVDA) at around 20% to 22%, followed by Taiwan Semiconductor Manufacturing Co. Ltd. (TSM), Broadcom Inc. (AVGO), and others in the 4% to 9% range. Sector allocation centers almost entirely on information technology. The expense ratio is 0.35%, reflecting the costs associated with its concentrated strategy. SMH uses passive rebalancing to match index constituents and weights, resulting in a more focused exposure profile compared to broader semiconductor benchmarks.
The semiconductor industry operates within a dynamic environment shaped by technological advancements in artificial intelligence, data centers, and consumer electronics. Capital flows into the sector have remained robust amid ongoing innovation cycles and supply chain adjustments. Macroeconomic factors, including interest rate expectations and global trade policies, influence capital expenditures by chip manufacturers. Regulatory developments around export controls and technology standards add complexity, while geopolitical tensions can affect supply chains involving key players in Taiwan and other regions. Both ETFs benefit from sector momentum driven by demand for advanced chips but face risks from cyclical downturns in end markets and potential disruptions in international trade.
In recent market cycles, CHPS and SMH have exhibited correlated movements tied to semiconductor earnings and broader technology trends, though their structural differences influence relative behavior. SMH's concentration in top holdings can lead to amplified responses during periods of strength in leading companies, while CHPS's broader diversification may moderate volatility across rotations in sub-sectors. Both have participated in sector advances linked to artificial intelligence adoption and capital spending by major technology firms. CHPS's lower expense ratio supports more efficient compounding over extended periods, whereas SMH's focus aligns closely with U.S.-listed leaders during earnings-driven rallies. Relative positioning favors CHPS for investors prioritizing cost efficiency and reduced single-stock risk, and SMH for those seeking concentrated exposure to market leaders.
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Based on observable structural factors, Tickeron’s AI would currently favor Xtrackers Semiconductor Select Equity ETF (CHPS) due to its lower expense ratio, greater number of holdings for improved diversification, and more balanced exposure across the semiconductor value chain. These characteristics support stronger risk-adjusted positioning and cost efficiency over market cycles, while maintaining comparable thematic alignment with sector momentum.
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| CHPS | SMH | CHPS / SMH | |
| Gain YTD | 75.175 | 55.755 | 135% |
| Net Assets | 106M | 68.7B | 0% |
| Total Expense Ratio | 0.15 | 0.35 | 43% |
| Turnover | 19.00 | 12.00 | 158% |
| Yield | 0.39 | 0.20 | 190% |
| Fund Existence | 3 years | 15 years | - |
| CHPS | SMH | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 67% | 2 days ago 86% |
| Stochastic ODDS (%) | 2 days ago 83% | 2 days ago 85% |
| Momentum ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 80% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 79% | 2 days ago 87% |
| TrendMonth ODDS (%) | 2 days ago 82% | 2 days ago 90% |
| Advances ODDS (%) | 8 days ago 88% | 8 days ago 90% |
| Declines ODDS (%) | 2 days ago 75% | 2 days ago 81% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 80% | 2 days ago 85% |
A.I.dvisor indicates that over the last year, CHPS has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if CHPS jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To CHPS | 1D Price Change % | ||
|---|---|---|---|---|
| CHPS | 100% | -1.51% | ||
| LRCX - CHPS | 86% Closely correlated | -6.33% | ||
| AMAT - CHPS | 81% Closely correlated | -3.53% | ||
| KLAC - CHPS | 80% Closely correlated | -3.86% | ||
| MU - CHPS | 80% Closely correlated | -0.39% | ||
| ASX - CHPS | 80% Closely correlated | -2.06% | ||
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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 88% 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% | -1.55% | ||
| LRCX - SMH | 88% Closely correlated | -6.33% | ||
| KLAC - SMH | 85% Closely correlated | -3.86% | ||
| AMAT - SMH | 85% Closely correlated | -3.53% | ||
| ASML - SMH | 84% Closely correlated | -2.84% | ||
| TSM - SMH | 83% Closely correlated | -0.32% | ||
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