Guotai CSI Semiconductor Material Equipment Theme ETF (159516) Surges 5.71%; AI Demand Drives Continuous Improvement in Industry Prosperity

NewTimeSpace News - As of 10:40 on April 8, 2026, the Guotai Semiconductor Equipment ETF (159516) rose 5.71%, with its latest price reaching 0.85 yuan. Looking at a longer timeframe, as of April 7, 2026, the ETF has accumulated a gain of 4.47% since the beginning of the year. (The stocks listed above are solely index constituents and do not constitute specific investment recommendations.)

In terms of liquidity, the Guotai Semiconductor Equipment ETF recorded an intraday turnover rate of 5.23% and a trading volume of 1.058 billion yuan. Looking at a longer timeframe, as of April 7, the ETF's average daily trading volume reached 1.121 billion yuan over the past month, ranking first among comparable funds.

Regarding fund size, the Guotai Semiconductor Equipment ETF has grown by 7.581 billion yuan over the past three months, representing a significant increase and ranking 1st among 5 comparable funds in terms of new asset inflows. (Data source: Wind)

In terms of fund shares, the Guotai Semiconductor Equipment ETF's latest share count reached 23.999 billion shares, hitting a new high for the past year and ranking 1st among 5 comparable funds. (Data source: Wind)

For capital flows, the Guotai Semiconductor Equipment ETF has recorded continuous net inflows over the past 3 days, with a maximum single-day net inflow of 362 million yuan, totaling 404 million yuan attracted, representing an average daily net inflow of 135 million yuan. (Data source: Wind)

Data indicates continued positioning by leveraged funds. The Guotai Semiconductor Equipment ETF recorded a net margin purchase of 7.6854 million yuan on the previous trading day, with its latest margin balance reaching 634 million yuan. (Data source: Wind)

As of April 7, the Guotai Semiconductor Equipment ETF has gained 92.87% over the past 2 years, ranking 119th among 2,644 equity index funds, placing it in the top 4.50%. In terms of return capability, as of April 7, 2026, since its inception, the ETF has achieved a maximum monthly return of 25.44%, a maximum consecutive rising period of 4 months, a maximum consecutive gain of 57.08%, an average monthly return of 10.11% during rising months, an annual profit percentage of 100.00%, and a 100.00% probability of profit for historical 2-year holdings. As of April 7, 2026, the Guotai Semiconductor Equipment ETF has outperformed its benchmark by 1.43% in annualized returns since inception.

As of April 3, 2026, the Guotai Semiconductor Equipment ETF's Sharpe ratio over the past year was 1.49.

Regarding drawdown, as of April 7, 2026, the Guotai Semiconductor Equipment ETF's relative benchmark drawdown this year was 0.19%.

In terms of fee structure, the Guotai Semiconductor Equipment ETF charges a management fee of 0.50% and a custody fee of 0.10%, representing the lowest fee level among comparable funds.

For tracking accuracy, as of April 7, 2026, the Guotai Semiconductor Equipment ETF's tracking error over the past 2 years was 0.025%, achieving the highest tracking precision among comparable funds.

The Guotai Semiconductor Equipment ETF closely tracks the CSI Semiconductor Materials and Equipment Theme Index, which selects 40 listed companies engaged in semiconductor materials and semiconductor equipment as index constituents to reflect the overall performance of semiconductor materials and equipment listed companies.

On the news front, DeepSeek's new generation V4 model has completed targeted optimization for domestic chips including Huawei and Cambricon, without opening testing to US-based chips. Alibaba, ByteDance, and Tencent have already placed advance orders for hundreds of thousands of Huawei AI chips.

Industrial Securities stated that memory is experiencing a true "inflection point of the era," rising from a cost item on the BOM sheet to a strategic resource for AI computing, and transforming from a cyclical product into a core competitiveness of the digital economy. As AI training and inference demand for computing power grows rapidly, data center demand for HBM, high-capacity DDR5, and enterprise-grade SSD storage is growing rapidly, with industry prosperity continuing to improve.

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