1. Report's Industry Investment Rating No industry investment rating information is provided in the report. 2. Core Viewpoints of the Report - The improvement of A-share market efficiency provides a solid foundation for the development of passive investment, with the scale of passive equity funds in the domestic public fund market exceeding 50% in 2025 [5]. - The effectiveness of the A-share market is lower than that of Hong Kong and US stocks, and the effectiveness of small-cap and technology stock indices is weaker than that of large-cap stock indices. The effectiveness of the A-share market shows an overall upward trend [5]. - There is a significant negative correlation between the excess return of active funds and index effectiveness. As the difficulty of obtaining Alpha increases, the demand for diversified Beta and Smart Beta on the equity side increases, highlighting the importance of asset allocation [5]. - There is a balance point between the scale ratios of active and passive funds. In the choice of funds, it is recommended to allocate ETFs in the large-cap style market, select active equity funds in the mid-cap style market, and choose quantitative funds for small-cap style allocation [5]. 3. Summary by Relevant Catalogs 3.1 A-share Equity Fund Market: Passive Investment Proportion Exceeds 50% - In 2025, the scale of domestic passive equity funds exceeded that of active equity funds for the first time, and this trend continues. The reasons include the difficulty of obtaining sustainable excess returns from active funds, the improvement of A-share market efficiency, and the development of domestic investment advisory services [9]. 3.2 Rise in Passive Investment Proportion Due to Market Efficiency Improvement - As market efficiency improves, it becomes more difficult to obtain Alpha, leading to the rise of Beta investment. Passive investment includes pure passive investment and factor-based passive investment (Smart Beta) [14]. - There is a balance point between active and passive funds, and the scale ratio of passive investment will not increase indefinitely. Ideal asset allocation should be an organic combination based on the market cycle, asset categories, and strategy capacity [15]. 3.3 Market Efficiency and Testing Methods 3.3.1 Origin and Connotation of the Efficient Market Theory - The study of market efficiency can be traced back to 1889, and Eugene Fama formally defined and improved the efficient market theory, dividing market efficiency into three levels: weak, semi-strong, and strong [18][19][20]. 3.3.2 Testing Methods for the Efficient Market Theory - **Weak Form Tests**: By testing whether the price sequence residual is white noise, it can be determined whether the stock price is likely to follow a random walk, which is used to judge market efficiency. The Ljung - Box test is commonly used for white noise testing [21][25][27]. - **Semi - Strong Form Tests**: Economists generally use the event study method to test the reaction speed of stock prices to public information [29]. - **Strong Form Tests**: This tests whether investors can obtain excess returns using insider information. It studies the returns of professional investors or insiders [30][31]. 3.4 Exploration of Market Efficiency in A-share, Hong Kong, and US Stocks - Since 2013, the efficiency of A-share has been slightly lower than that of Hong Kong and US stocks, and the efficiency of small-cap and technology stock indices is weaker than that of large-cap stock indices. After 2018, the efficiency of the A-share market has increased rapidly [34][38][40]. - There is a significant negative correlation between the excess return of active funds and index efficiency. As market efficiency improves, the difficulty of obtaining Alpha in A-shares increases [43]. 3.5 Fund Investment Choices under the Background of Improved Market Efficiency 3.5.1 ETF: Emphasizing Multi-Asset ETFs and Equity Smart Beta - As the demand for diversified Beta increases, the importance of asset allocation becomes prominent. ETFs are becoming increasingly important in the strategic position of asset allocation, and the proportion of ETFs in the holdings of public FOFs continues to rise, with diversified demand [47][50]. - Strategy ETFs (Smart Beta factor ETFs) show relatively independent trends, providing a source of differentiated Beta in the equity market and playing an important role in asset allocation [52]. - Industry ETFs are mostly market - capitalization weighted, with large-cap stocks contributing more to returns. Since it is difficult to obtain excess returns from large-cap stocks, investment is recommended to be based on long - term allocation [55][56]. 3.5.2 Active Equity and Quantitative Investment: Obtaining Alpha Returns from Small and Mid - Cap Stocks - Active equity funds are more exposed to mid - cap stocks. The trading environment of mid - cap stocks is more friendly to actively managed funds, with lower pricing efficiency and lower difficulty in obtaining excess returns compared to large - cap stocks, and relatively sufficient liquidity [61][62]. - Quantitative funds may be a better choice for investing in small - cap stocks. Quantitative strategies can improve the objectivity and winning rate of decision - making, and have advantages in terms of stock coverage and trading execution [69][70][71].

量化基金凭借独有优势愈发受到关注，也逐渐成长为市场中不可忽视的力量 投资时间网、标点财经研究员 陈亭 在震荡结构性行情中，量化基金凭借其独有优势愈发受到关注——处理海量数据的能力叠加严明的纪律性和系统性，有助于规避个股风险、更好地控制产 品净值的波动和回撤、更敏锐地捕捉市场风格和宏观因子的变化。随着指数增强、主动量化等品类不断丰富，量化基金也逐渐成长为市场中不可忽视的力 量。 为了探寻企业界、金融界破局引路的标杆力量，"见未来·2025第八届金禧奖年度评选"如期而至。自标点财经研究院联合《投资时报》、投资时间网于 2018年首次举办"见未来"系列论坛以来，至2025年，"见未来"系列活动及金禧奖年度评选已进入第八届。据了解，"金禧奖"由标点财经研究院等第三方研 究机构对数千家企业大数据展开分析、比较后，客观评选出各领域最具竞争力的企业和机构，形成候选综合排名榜单，再经媒体记者、研究员团队集体调 研，由评审组最终审核确定。 多年来，诸多优秀企业与金融机构在活动中获得了表彰和肯定，极大地提升了企业的品牌价值和市场影响力。 经过数轮激烈的竞争与细致的遴选，这份荣誉的归属终于尘埃落定。最终，天弘基金管理有限公司、鹏华 ...

我之前写过不少宏观经济的文章，但从来没有聊过股市。我自己有一个货币银行学的博士学位，多少算有点相关知识。投资方面，创业之前，做过三四年风 险投资，踩过很多坑，也算赚到过钱。不过我在股市上表现就很一般了，特别是A股。 多年之前我也买过A股，算没亏钱，但也没赚钱。后来觉得A股太复杂，因素太多，我自己的水平不行。后来我对A股的投资，就全部放到我朋友的量化基 金，一多半配置指数增强，一小半配置中性。 我的要求也不高，中性要求比银行存款利息每年多赚五个点，指数增强比对标指数每年多赚十个点就行了。到目前为止超额完成目标，长期平均年化回报 15%-20%，比我当年自己做的好多了。 我这个朋友老杨去美国拿了个数学博士，但没有搞数学研究。他当年的偶像是格罗腾迪克，梦想证明费马大定理。他说格罗腾迪克最NB的就是造出了一套 神奇到极限的理论框架，证明了好多很牛的数学定理， 费马大定理只是其中一个。我的数学水平已经倒退到了高中，给我讲数学，完全听不懂。不过读完 博士之后他也没搞学术，反而开始做股票。 我自己在北大物理系读完大一就发现自己不是搞研究的那块儿料，果断转系放弃。老杨醒悟得有点晚。 老杨吹牛说自己靠信用卡套现了两万美元起家， ...

第一场圆桌论坛的嘉宾恒生投资-ETF销售主管凌子敬，前沿资产(香港)有限公司-COO、Head of Marketing Cindy Li ，时和家办-董事长、总裁陈东，大道资本(香港)-创始人、董事会主席李攀，中信证 券国际-基金服务董事秦亮亮，以及主持人Ogier-Partner David Lin，围绕《范式转移:重构地缘政治雷达 下的全球资本配置新算法》进行了讨论和分享。近年，港股通作为内地与香港资本市场的关键纽带成效 显著，截至今年 11 月累计净流入超 5.3 万亿港元。港股 ETF 是重要增长引擎，规模从年初 2900 亿港元 扩张至 7100 亿港元，增幅达 2.4 倍。受益于 2024 年纳入门槛降低、免征印花税等优势，23 只港股通 ETF 占香港 ETF 市场超 70% 份额，成为机构与量化资金的核心配置工具。 与此同时，华人资本出海步入新阶段，从代工出口转向品牌化运营，离岸资产配置需求激增。香港凭借 法治环境与市场深度，过去三年新增200余家单一家族办公室，在稳健收益、行业修复及新经济布局上 凸显优势。 来自前沿资产的Cindy Li在会上表示："量化基金，尤其是量化多头，确实会成为当 ...

Core Viewpoint - The article discusses the differences in investment experiences between the Chinese A-share market and the US stock market, highlighting the challenges of timing the market in A-shares compared to the more stable performance of US stocks [3][4][6]. Group 1: Market Performance Comparison - Over the past 20 years, the annualized returns of the CSI 300 and the S&P 500 have been similar, around 8%-9% [3]. - Despite similar returns, investors feel that making money in the US stock market is easier due to its relatively stable performance [4][6]. - The A-share market experiences significant volatility, with most returns concentrated in short bursts, making it difficult for investors to profit without precise timing [9][10]. Group 2: Challenges of Market Timing - Market timing is inherently difficult due to unpredictable short-term fluctuations influenced by sudden events, emotions, and policies [19]. - Successful market timing requires a strong psychological disposition, as it involves buying during significant downturns and selling during peaks, which is challenging for most investors [21][28]. - Ordinary investors lack the advantages that institutional investors have in terms of information, research capabilities, and tools, making it harder for them to time the market effectively [28]. Group 3: Strategies for Investment - To navigate the difficulties of market timing, the article suggests focusing on investment strategies that yield stable and consistent returns over time, reducing the need for precise timing [30][32]. - A diversified approach across different assets and strategies can help ensure that some components of the portfolio remain effective regardless of market conditions, leading to smoother returns [39][47]. - The "Snowball Three-Point Method" is highlighted as a strategy that emphasizes asset diversification and the use of various fund strategies to mitigate risks and enhance long-term returns [47].

在基金投资领域，量化基金近年来逐渐走进投资者的视野。 其独特的投资逻辑是否适合普通投资者，是一个值得深入探讨的问题。 量化基金的投资逻辑建立在数学模型和计算机算法之上。通过对大量历史数据的分析，量化基金试图找 出市场中的规律和投资机会。与传统基金依赖基金经理的主观判断不同，量化基金更注重数据和模型的 客观性。 对于普通投资者而言，量化基金有一定的优势。 其次，量化基金可以同时分析多个市场和大量的股票，覆盖范围更广。这使得它有可能发现一些被普通 投资者忽视的投资机会。 然而，量化基金也存在一些局限性。 量化模型是基于历史数据构建的，而市场是不断变化的。 过去有效的模型在未来可能不再适用，这就带来了模型失效的风险。此外，量化基金的投资策略较为复 杂，普通投资者可能难以理解其背后的原理。如果投资者对基金的投资逻辑缺乏了解，就很难判断其投 资风险和收益特征。 普通投资者在考虑投资量化基金时，需要综合考虑自身的投资目标、风险承受能力和投资经验。 如果投资者有一定的金融知识和风险承受能力，并且希望通过多元化的投资策略获取收益，那么量化基 金可以作为投资组合的一部分。但如果投资者对复杂的投资策略感到困惑，或者风险承受能力较 ...

Core Viewpoint - The debut of "Mole Thread," the first domestic GPU stock, on the Sci-Tech Innovation Board saw its stock price surge over 500% on the first day, leading to significant profits for early investors, particularly the private equity firm "Huanfang Quantitative" which made a substantial investment [1]. Group 1: Company Performance - Mole Thread's initial offering price was 114.28 yuan, and it opened at 650 yuan, resulting in a paper profit exceeding 32 million yuan for Huanfang Quantitative, which acquired 61,300 shares for over 7 million yuan [1]. - Huanfang Quantitative's funds have reportedly achieved returns exceeding 50% this year, significantly outperforming the market indices, which have only risen about 23% [1]. Group 2: Market Dynamics - The rise of quantitative trading firms has changed market dynamics, allowing them to execute thousands of trades in milliseconds, creating volatility and rapid price movements that can be disconnected from the underlying fundamentals of companies [3][4]. - The presence of numerous quantitative players with similar strategies can lead to erratic market behavior, such as sudden stock price spikes or crashes, often driven by algorithmic trading rather than company performance [3][4]. Group 3: Investment Landscape - The competitive landscape for retail investors has become more challenging as they now face algorithmic trading strategies that operate on speed and data, making traditional fundamental analysis less effective [3][4]. - The efficiency brought by quantitative funds has increased market volatility, raising questions about whether this "machine trading" model benefits retail investors or complicates their investment strategies [4].

Group 1 - The report indicates that various quantitative funds outperformed their benchmarks in November 2025, with active quantitative funds tracking the CSI 300 and CSI 500 indices achieving average excess returns of 0.5% and 2.1% respectively [2][26] - Among industry-themed funds, those tracking the digital economy, Hang Seng A-share specialized new enterprises index, and the emerging index ranked highest in excess returns [2][37] - Smart beta funds tracking the CSI Hong Kong-Shenzhen high dividend index achieved the highest excess returns for the month [2][38] Group 2 - The report highlights that broad-based active quantitative funds tracking 27 indices had average excess returns of 0.6% and 0.3% for the CSI 500 and CSI 300 indices respectively in November 2025 [3][42] - Industry-themed funds focusing on the pharmaceutical sector, chip industry, and Chinese semiconductor chip index ranked highest in excess returns among index-enhanced funds [3][54] - The report notes that hedge quantitative funds had an average absolute return of 0.31% in November 2025, with lower net asset value volatility compared to the year-to-date average [4][27] Group 3 - The report categorizes quantitative funds into three types: active quantitative funds, index-enhanced quantitative funds, and hedge quantitative funds, each serving different trading needs [9][12] - Active quantitative funds are further divided into those tracking the CSI 300, CSI 500, other broad indices, industry themes, and smart beta strategies [12][18] - The report provides detailed performance metrics for various funds, including absolute and excess returns, volatility, and maximum drawdown for November 2025 [17][49]

Group 1 - The report highlights that active equity funds are expected to experience a value reassessment due to favorable market conditions and policy support, despite previous underperformance [4][6][10] - The active equity funds have shown significant excess returns in a structural bull market, particularly those focused on advanced manufacturing themes [4][5][6] - The report suggests a "core + satellite" investment strategy to capitalize on the current market environment, emphasizing the importance of thematic investments in state-owned enterprises, technology, and consumption sectors [4][5][6] Group 2 - The ETF market has seen a substantial breakthrough in both quantity and scale, with the total ETF size surpassing 1 trillion yuan, indicating a shift towards high-quality development [4][5][10] - The report notes that the growth of passive products is driven by policy support, technological advancements, and increased demand, particularly in the non-ferrous metals and TMT sectors [4][5][10] - The report anticipates a continued trend of strong performance in popular sectors, with a focus on technology and financial real estate, as well as the potential for expansion in niche ETFs [4][5][10] Group 3 - The report outlines a multi-dimensional ETF quantitative allocation strategy that leverages macro timing, momentum, and advanced modeling techniques to capture diverse returns [4][5][10] - It emphasizes the importance of asset allocation to achieve stable risk-adjusted returns, particularly in a "slow bull" market [4][5][10] - The report suggests that the focus should be on sectors with strong momentum and lower crowding, especially in technology, to capture excess returns [4][5][10]

Core Insights - The number of private equity funds in China with over 10 billion yuan in assets has significantly increased, reaching 113 by October 31, 2025, up from 96 at the end of September, marking a net increase of 17 funds in just one month [1][2] - This growth is attributed to multiple factors, including a strong stock market performance, impressive overall returns from private equity funds, and a more regulated industry environment [1][2][3] Group 1: Market Dynamics - The private equity market has seen heightened activity, with the number of billion-yuan private equity firms growing for five consecutive months, indicating an acceleration in the expansion of the "billion-yuan club" [2] - The overall performance of the stock market, with the Shanghai Composite Index surpassing 4000 points, has boosted investor confidence and led to increased capital inflow into private equity [2][3] - The average return for 45 billion-yuan quantitative private equity funds has reached 32.88%, significantly higher than the 25.12% average return for 23 subjective funds [6] Group 2: Regulatory Environment - The regulatory environment has become more stringent, enhancing transparency and trust in private equity products, which supports the rapid expansion of leading firms [3][4] - Recent regulatory measures have aimed at promoting high-quality development within the private equity sector, establishing a unified regulatory framework and prohibiting practices like multi-layered nesting and off-market financing [3][8] Group 3: Fund Composition - Among the new entrants to the billion-yuan club, quantitative private equity funds dominate, with 10 out of 18 new members being quantitative, reflecting a shift in the composition of the private equity landscape [5][6] - As of October 31, 2025, quantitative private equity funds account for 48.67% of the billion-yuan club, while subjective funds make up 41.59% [5] Group 4: Future Trends - The future of the private equity industry is expected to be characterized by diversification, with quantitative funds likely to maintain strong growth due to their market adaptability and efficient trading execution [7] - The mixed strategy of combining subjective and quantitative approaches is anticipated to gain traction, enhancing decision-making and asset allocation effectiveness [7]