指数增强ETF扩容，景顺长城沪深300增强策略ETF正在发行

Core Insights - Index-enhanced ETFs are rapidly developing as a new category within index products, combining passive investment with active management to capture market beta while striving for alpha returns [1][2] - As of May 15, 2025, there are 35 index-enhanced ETFs in the A-share market, with a total scale of 6.72 billion [1] - The recent launch of the CSI 300 Enhanced Strategy ETF by Invesco Great Wall Fund reflects the growing interest in this investment vehicle [1][2] Group 1: Market Characteristics - Passive investment offers high transparency and diversification, effectively reflecting the overall performance of the A-share market [2] - The A-share market still presents opportunities for excess returns due to structural market conditions and frequent sector rotations [2] - The U.S. market has seen significant growth in actively managed ETFs, with 1,696 active ETFs totaling 857.9 billion, accounting for 8.09% of the total ETF market size as of the end of 2024 [2] Group 2: Fund Details - The CSI 300 Enhanced Strategy ETF tracks a high-quality index composed of 300 large-cap, liquid stocks, which collectively represent 55.82% of the total market capitalization, 60.74% of revenue, and 80.68% of net profit in the A-share market [2][3] - The fund employs a combination of active selection and quantitative strategies to capture alpha, utilizing a proprietary stock research platform and quantitative risk models to manage exposure [2][3] Group 3: Management and Performance - The fund is co-managed by Zhang Xiaonan, an experienced passive investor, and Guo Lin, a new generation active equity fund manager, showcasing a blend of expertise [3] - The previous performance of the CSI 500 Enhanced Strategy ETF, managed by the same team, achieved a net value growth rate of 10.49%, significantly outperforming the benchmark index's increase of 5.46% [3] - The current market conditions, supported by favorable policies and capital inflows, position the CSI 300 index as a high-value opportunity for capturing beta returns while also aiming for excess returns through factor optimization and active management [3]