GF CSI Media Index ETF (512980) Gains Over 2% in Morning Trading, Institutions: AI Remains One of the Most Important Directions in Global Industrial Narrative
NewTimeSpace News - As of 10:09 on February 3, 2026, the Media ETF (512980) gained 2.03%, with its latest price reaching 1.21 yuan. Looking at a longer timeframe, as of February 2, 2026, the ETF has cumulatively gained 18.64% over the past month, ranking 1st out of 2 comparable funds. (Stocks listed above are constituent stocks of the index and do not constitute specific investment recommendations.)
In terms of liquidity, the Media ETF recorded an intraday turnover rate of 3.69%, with trading volume reaching 430 million yuan. Looking at a longer timeframe, as of February 2, the average daily trading volume over the past month stood at 1.530 billion yuan.
On the size front, the Media ETF's assets under management grew by 252 million yuan over the past week, achieving significant growth and ranking 1st out of 2 comparable funds. (Data source: Wind)
Regarding shares outstanding, the Media ETF's latest share count reached 9.561 billion units, marking a new high for the past year and ranking 1st out of 2 comparable funds. (Data source: Wind)
On capital flows, the ETF's latest net capital inflow reached 105 million yuan. Looking at a longer timeframe, capital inflows were recorded on 4 out of the past 5 trading days, accumulating to a total of 494 million yuan in attracted funds and an average daily net inflow of 98.7273 million yuan. (Data source: Wind)
Data shows that leveraged funds continue to build positions. The Media ETF's latest margin purchase amount reached 82.9043 million yuan, with the latest margin financing balance standing at 484 million yuan. (Data source: Wind)
As of February 2, the ETF's NAV has gained 54.39% over the past year, ranking 634th out of 3,491 index equity funds (top 18.16%). In terms of return capability, as of February 2, 2026, since the ETF's inception, its highest monthly return reached 26.55%, with the longest consecutive winning streak lasting 6 months and generating a cumulative gain of 87.46%. The average monthly return during up months stands at 6.66%, with an annual profitability percentage of 62.50%. As of February 2, 2026, the ETF's annualized excess return over its benchmark over the past two years reached 1.86%.
As of January 30, 2026, the Media ETF's Sharpe ratio over the past year stood at 1.71.
Regarding drawdowns, as of February 2, 2026, the ETF's relative drawdown against its benchmark year-to-date was 0.12%, the smallest among comparable funds.
On fees, the Media ETF's management fee rate is 0.50% and custodian fee rate is 0.10%, the lowest among comparable funds.
In terms of tracking accuracy, as of February 2, 2026, the ETF's tracking error over the past 3 months stood at 0.019%, the highest tracking precision among comparable funds.
The Media ETF closely tracks the CSI Media Index, which selects 50 listed securities with larger total market capitalization from industries such as marketing and advertising, culture and entertainment, and digital media as index constituents, aiming to reflect the overall performance of representative listed companies in the media sector.
On the news front, the Yuanbao red envelope marketing campaign has launched, with the Yuanbao APP quickly rising to No. 1 on the iOS App Store free download chart. In China's large model C-end application competitive landscape, ByteDance, Tencent, and Alibaba currently lead in model, ecosystem, and progress, while new players form differentiated competition through certain model characteristics.
Huayuan Securities stated that AI remains one of the most important directions in the global industrial narrative. Progress in major tech companies' AI products remains the core focus. The competition for AI entry points will continue to evolve, with mobile edge devices (such as Apple), super apps (such as WeChat and Douyin), and vertical AI platforms (similar to Doubao, Yuanbao, Qianwen, and Zhipu) advancing AI Agent entry point user education and capture from different dimensions, while completing the connection and unification of application layer ecosystems through different approaches.
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