- The report does not contain any specific quantitative models or factors, nor does it provide details on their construction, evaluation, or testing results. The content primarily focuses on the performance statistics of various quantitative funds, such as index-enhanced funds, active quantitative funds, and market-neutral funds, across different time periods [1][2][3] - The performance metrics include excess returns, tracking errors, and maximum drawdowns for funds tracking indices like CSI 300, CSI 500, CSI 1000, and CSI A500, as well as active quantitative and market-neutral strategies. These metrics are presented in tabular and graphical formats, segmented by weekly, monthly, and yearly periods [10][11][13] - The report also provides cumulative net value trends for equal-weighted portfolios of quantitative funds over the past year and two years, segmented by fund type (e.g., index-enhanced, active quantitative, market-neutral) [22][28][32]

专题：北京公募基金高质量发展系列活动 新时代、新基金、新价值 今年5月，证监会印发《推动公募基金高质量发展行动方案》（以下简称《行动方案》），为公募基金 行业描绘了崭新的发展蓝图。它告别了过去重规模的时代，迈向以重投资者回报的高质量发展新纪元。 对于许多传统基金而言，或许面临着转型的阵痛，但对于量化基金而言，《行动方案》送来的却是一股 强大的"东风"。在天相基金评价中心看来，一个属于量化投资的"黄金时代"正在缓缓开启。 1|团队协作，科技赋能 《行动方案》中强调要强化投研核心能力建设，并鼓励运用科技赋能，加快"平台式、一体化、多策 略"投研体系建设，而这几乎是量化基金投研体系的真实写照。 量化投资的本质，是通过系统性的方法、数学模型和信息技术，从海量数据中寻找规律，并严格执行投 资决策。从数据清洗、因子挖掘到投研平台的搭建，量化投资的落地需要团队协作，各司其职。当传统 投资还在一定程度上依赖基金经理的个人经验时，量化基金已经搭建起一整套基于算法的"投资机器"， 可7x24小时地处理信息，挖掘超额。 2|风格稳定，精准对标 这种对标基准的方式，确保了量化基金的投资业绩与基准高度相关性，提高了未来收益的可预测性， ...

- The report primarily focuses on the performance of quantitative public funds, including index-enhanced funds (tracking indices such as CSI 300, CSI 500, CSI 1000, and CSI A500), actively managed quantitative funds, and market-neutral funds, over various timeframes such as weekly, monthly, and year-to-date (YTD) periods[1][2][3] - The performance metrics include excess returns for index-enhanced funds, absolute returns for actively managed quantitative funds, and market-neutral strategies, along with additional indicators such as tracking error and maximum drawdown for specific categories[10][30] - For CSI 300 index-enhanced funds, the YTD average excess return is 0.83%, with a maximum of 7.15% and a minimum of -3.17%, while the tracking error over the past year ranges from 1.80% to 8.15%[10] - For CSI A500 index-enhanced funds, the YTD average excess return is 2.99%, with a maximum of 5.83% and a minimum of -2.14%, and the tracking error for the year ranges from 3.24% to 9.38%[10] - For CSI 500 index-enhanced funds, the YTD average excess return is 1.58%, with a maximum of 7.75% and a minimum of -5.27%, while the tracking error over the past year ranges from 2.77% to 10.35%[10] - For CSI 1000 index-enhanced funds, the YTD average excess return is 5.10%, with a maximum of 12.99% and a minimum of -3.14%, and the tracking error for the year ranges from 2.89% to 8.28%[10] - Actively managed quantitative funds show a YTD average return of 17.91%, with a maximum of 59.74% and a minimum of -9.92%, while the maximum drawdown over the past year ranges from 5.05% to 31.80%[10] - Market-neutral funds have a YTD average return of 1.00%, with a maximum of 8.81% and a minimum of -2.56%, while the maximum drawdown over the past year ranges from 2.15% to 7.14%[10]

- The weekly performance of public quantitative funds shows that the average excess return of CSI 300 index-enhanced funds was 0.17%, with 82.61% of funds achieving positive excess returns[1][9]. - The monthly performance indicates that the average excess return of CSI 300 index-enhanced funds was 0.32%, with 84.06% of funds achieving positive excess returns[2][9]. - Year-to-date (YTD) performance reveals that the average excess return of CSI 300 index-enhanced funds was 1.03%, with 77.05% of funds achieving positive excess returns[3][9]. - The weekly average excess return of CSI A500 index-enhanced funds was 0.20%, with 73.81% of funds achieving positive excess returns[1][9]. - The monthly average excess return of CSI A500 index-enhanced funds was 0.40%, with 82.93% of funds achieving positive excess returns[2][9]. - YTD performance shows that the average excess return of CSI A500 index-enhanced funds was 3.32%, with 87.50% of funds achieving positive excess returns[3][9]. - The weekly average excess return of CSI 500 index-enhanced funds was 0.01%, with 55.71% of funds achieving positive excess returns[1][9]. - The monthly average excess return of CSI 500 index-enhanced funds was 0.27%, with 81.43% of funds achieving positive excess returns[2][9]. - YTD performance indicates that the average excess return of CSI 500 index-enhanced funds was 2.42%, with 81.82% of funds achieving positive excess returns[3][9]. - The weekly average excess return of CSI 1000 index-enhanced funds was -0.16%, with 39.13% of funds achieving positive excess returns[1][9]. - The monthly average excess return of CSI 1000 index-enhanced funds was 0.05%, with 54.35% of funds achieving positive excess returns[2][9]. - YTD performance shows that the average excess return of CSI 1000 index-enhanced funds was 5.81%, with 95.65% of funds achieving positive excess returns[3][9]. - The weekly average return of active quantitative funds was 1.90%, with 96.13% of funds achieving positive returns[1][9]. - The monthly average return of active quantitative funds was 1.88%, with 94.19% of funds achieving positive returns[2][9]. - YTD performance reveals that the average return of active quantitative funds was 14.99%, with 97.91% of funds achieving positive returns[3][9]. - The weekly average return of market-neutral funds was 0.29%, with 82.61% of funds achieving positive returns[1][9]. - The monthly average return of market-neutral funds was 0.33%, with 82.61% of funds achieving positive returns[2][9]. - YTD performance indicates that the average return of market-neutral funds was 1.38%, with 78.26% of funds achieving positive returns[3][9].