The Invesco Semiconductors ETF posted a 76.91% year‑to‑date return and a 131% gain over twelve months, managing roughly $2.6 billion across 30 holdings. Total return, including dividends, reached 150.93% in July, but the path was volatile. The fund fell 9.40% in a single session on July 2, and the year‑to‑date figure dropped 25 percentage points between July 6 and August 19. That swing is massive for a vehicle that holds only U.S. semiconductor stocks, and the sector is currently under pressure.
The sector context is deteriorating
The VanEck Semiconductor ETF slipped more than 3% in the final full week of August and fell further on Friday. Marvell Technology lost 10.3% that day, closing at $216.62. Applied Materials, the largest holding at 6.87% of the portfolio, declined over 5% across the week. Nvidia dropped 4.45% to roughly $217.55. The Nasdaq Composite slipped 0.52% while the S&P 500 fell 0.25%. Federal Reserve Chair Kevin Warsh raised the odds of a September hike from 35.4% to 59.7%, a shift that tends to compress valuations in high‑growth areas.
Monday’s pre‑market session offered a modest stabilisation. Intel rose 1.3% and was the most actively traded name before the bell. Nvidia advanced 0.6%. South Korea’s Kospi fell 1.2% overnight as Samsung Electronics and SK Hynix dragged. The thesis is that the ETF’s outperformance stemmed from owning equipment and memory firms rather than the GPU franchise, and those segments are now repricing hardest. A quantitative momentum strategy that delivered the earlier return now faces a test.
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The structural feature that produced the outperformance
The fund’s refusal to concentrate in the sector’s largest company is a defining trait. Nvidia declined 4.45% on Friday to roughly $217.55. The ETF holds nothing but U.S. semiconductor stocks.
Equipment orders are the most cyclical line in the entire semiconductor supply chain. They lead revenue by four to six quarters and collapse first when capital‑expenditure guidance softens. Memory is even more volatile, a commodity with a boom‑bust pricing cycle that Micron’s 13% August gain and $932.86 share price illustrate at the top of the range. Underweighting Nvidia was the right call while the upstream levered the downstream. If the AI capex cycle slows, the same underweight becomes a liability because Nvidia has contracted revenue visibility that Applied Materials and Lam Research lack.
The Intellidex methodology and the August rebalance
The ETF is not a passive index fund. It tracks the Dynamic Semiconductor Intellidex Index, which uses a quantitative screen evaluating companies across price momentum, earnings momentum, quality, management action and value. From that pool it selects 30 semiconductor‑related equities judged to best represent the sector’s potential for outperformance. Larger stocks receive roughly 40% of total weight and smaller stocks 60%, the inverse of a market‑cap approach. This weighting pushes most assets toward mid‑ and small‑caps and raises volatility compared with a traditional large‑cap semiconductor fund.
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Two of the five selection criteria are momentum‑based. Price momentum and earnings momentum both look backward, meaning the index systematically buys what has already worked and sells what has already broken. In a sustained sector uptrend, that produced the earlier 131% versus the benchmark’s 112%. In a sector inflection, it produces the opposite, buying at the top and selling at the bottom. The manager has been explicit that the strategy cuts both ways.
The fund launched on June 23, 2005, giving the methodology a long track record across multiple semiconductor cycles. Average annual return since inception is 18.18%, strong but a fraction of the trailing twelve‑month figure. Net expense ratio runs 0.56% to 0.57%, materially above the 0.35% typical of market‑cap semiconductor funds. Morningstar assigns a Silver Medalist Rating as of June 30.
The ETF and its underlying index rebalance on a quarterly schedule – February, May, August and November. August’s reconstitution has just occurred, and the timing is consequential. The rebalance reruns the five‑factor screen and selects the 30 constituents. Names that performed strongest during the measurement window score highest on price and earnings momentum; those that faltered score lowest and are dropped. This means the current portfolio reflects the momentum profile that existed before Nvidia’s earnings, before Marvell’s 10.3% loss, and before Warsh’s rate‑policy shift on August 28.
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A momentum‑selected portfolio rebalanced into the top of a move is the definition of buying high. The next chance to correct it is November. Holdings count moved from 30 to 31 at one measurement point, with the top ten representing 50.19% of assets. Half of the fund sits in ten names, the other half spreads across twenty‑one. The composition question for the November rebalance is whether equipment and memory retain their weight. Applied Materials is down more than 5% on the week, Marvell is down 10.3% on Friday, and the semiconductor ETF complex is down over 3% overall, all feeding directly into the price‑momentum factor. If the sector stays under pressure through October, the November reconstitution will rotate away from the exposures that produced the earlier gain.
The relative performance record and the cost of getting there
As of August 19, the ETF gained 131% over the trailing year against the iShares Semiconductor ETF’s 112%. That spread reflects a fee of roughly 0.56% versus a market‑cap alternative charging less. Total return including dividends reached 150.93% over one trailing‑year measurement in mid‑July. Year‑to‑date, the fund stood at 76.91% after peaking at 102.37% on July 6. Coverage of the sector has noted that three semiconductor funds quietly outperformed the VanEck ETF over the same period by betting on corners of the chip market most investors ignored. This vehicle is one of them, and the corners were equipment and high‑bandwidth memory.
The cost of that outperformance is volatility, and the numbers are stark. The ETF fell 9.40% in a single session on July 2. The year‑to‑date return dropped 25 points between July 6 and August 19 without the holdings changing materially. A fund that can lose that much in a day and see such a decline in six weeks is not a core allocation. It is a trading vehicle with an ETF wrapper. The mid‑ and small‑cap tilt drives it. Assigning 60% of weight to smaller companies in the most cyclical industry in technology produces higher beta in both directions, and the AI capex cycle has been the ideal environment for that structure. The long‑run average of 18.18% across more than twenty years is the honest baseline. The trailing 131% is a cycle‑peak reading, and the fund’s own literature describes semiconductor investing’s cyclical nature explicitly. Anyone underwriting that figure as a forward expectation is extrapolating the best twelve months in the fund’s history.
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