Ingenic(SZ:300223) Xin Lang Cai Jing·2025-07-24 10:39Core Viewpoint - The artificial intelligence (AI) sector is experiencing positive momentum, with significant gains in the AI ETF and its constituent stocks, indicating strong investor interest and potential growth in the industry [1][3]. Group 1: Market Performance - As of July 24, 2025, the CSI Artificial Intelligence Industry Index (931071) rose by 0.64%, with notable increases in constituent stocks such as Beijing Junzheng (300223) up 3.43% and Tuobang Co. (002139) up 2.72% [1]. - The AI ETF (515980) closed up 0.45%, with a latest price of 1.11 yuan [1]. Group 2: Liquidity and Fund Flows - The AI ETF had a turnover rate of 4.78% and total trading volume of 153 million yuan on the day [3]. - Over the past three days, the AI ETF saw continuous net inflows, with a peak single-day net inflow of 36.66 million yuan, totaling 44.98 million yuan [3]. - The AI ETF's financing net purchase amount reached 3.645 million yuan, with a latest financing balance of 101 million yuan [3]. Group 3: Performance Metrics - The AI ETF's net value increased by 48.52% over the past year, ranking 434 out of 2936 index equity funds, placing it in the top 14.78% [3]. - Since its inception, the AI ETF achieved a maximum monthly return of 30.38% and an average monthly return of 6.80% [3]. - The AI ETF's Sharpe ratio for the past year was 1.35, indicating strong risk-adjusted returns [3]. Group 4: Fee Structure and Tracking Accuracy - The management fee for the AI ETF is 0.50%, and the custody fee is 0.10% [4]. - The tracking error for the AI ETF over the past month was 0.009%, demonstrating its close alignment with the underlying index [4]. Group 5: Index Composition - The CSI Artificial Intelligence Industry Index comprises 50 representative listed companies, with the top ten stocks accounting for 52.07% of the index [4]. - The top ten weighted stocks include Zhongji Xuchuang (300308) at 8.20% and Xinyi Sheng (300502) at 7.36% [6]. Group 6: Industry Outlook - The demand for computing power is driving growth in AI applications, with the return of H20 providing more options for AI companies and alleviating high-end chip shortages [6]. - This shift is expected to encourage domestic manufacturers to accelerate product iterations and support the trend towards self-sufficiency in the industry [6].