中证2000增强ETF上半年涨超29%同类第一！ 小微盘风格能否持续？

Core Viewpoint - The small-cap style continues to show strength in the market, with the CSI 2000 Enhanced ETF (159552) and the 1000 ETF Enhanced (159680) both reaching new highs since their listing, driven by macroeconomic trends and industry upgrades [1][2][5]. Group 1: Small-Cap Style Performance - The CSI 2000 Enhanced ETF (159552) achieved a net value growth rate of 29.18% in the first half of the year, ranking first among broad-based ETFs, with an excess return of nearly 14% [1]. - The small-cap index turnover rate was 2.1% as of June 27, indicating a relatively high trading congestion level, while the small-cap to large-cap index turnover ratio was approximately 4.1 times, close to historical averages [5]. - The current price-to-earnings (P/E) ratio of the small-cap index to the large-cap index is 2.2 times, positioned at the 72.5% percentile since 2015, suggesting a favorable valuation environment for small-cap stocks [5]. Group 2: Macroeconomic and Industry Trends - The macroeconomic direction and industry upgrade trends are key signals for the rotation between small and large-cap stocks, with small-cap stocks showing relative advantages during periods of technological innovation and policy encouragement [2][4]. - The ongoing favorable environment for small-cap stocks is supported by the thriving sectors of AI and semiconductors, as well as continued policy support for the development of new productive forces [5]. Group 3: Enhanced ETF Performance - The CSI 2000 Enhanced ETF (159552) has consistently delivered excess returns since its establishment on June 29, 2024, with each quarter showing excess returns exceeding 6% in the first two quarters of this year [6]. - The 1000 ETF Enhanced (159680) has also demonstrated significant enhancement effects, achieving a cumulative excess return of 33.10% since its inception on November 18, 2022, with an annualized excess return of 11.88% [9][11]. - Both enhanced ETFs have shown strong adaptability to different market conditions, capturing excess returns during both downward trends and upward surges [8][11].