一位获得捐助的北大学生在感谢信中写道："在专业学习上，我了解了基础数学分析方向的研究课题和 前沿进展，并朝此方向努力。感谢大家对我的关注，让我知道，我有能力也有机会去创造一个更加美好 的未来。" 对此，吕杰勇表示，专注学业的前提是没有后顾之忧。这些奖助学金不仅面向品学兼优的学子，也会向 家庭经济困难的同学倾斜，平方和希望用这份支持，让大家在追求学术的道路上"轻装上阵"。 校企牵手引航职业生涯 近日，北京大学未名湖畔的一处院落里，北大校友、平方和投资创始人兼总经理吕杰勇与北京大学教育 基金会签订"北京大学平方和教育发展计划"捐赠协议。该计划将通过设立奖助学金、支持文体活动、搭 建实践桥梁等方式，持续助力北大学生成长与发展。 "燕园的7年，是我人生中最宝贵的成长时光，更是我踏入量化领域的重要启蒙。"吕杰勇表示，"我坚 信，最好的投资，是鼓励更多人才探索梦想。" 图片来源：平方和投资 奖助学金护航学子成长 "长期以来，许多校友在耕耘事业的同时，也默默关心着学校发展。吕杰勇校友的捐赠支持，将为北大 的教育事业注入源源不断的正能量。"在签约仪式上，北京大学教育基金会副秘书长耿姝表示。 据介绍，"平方和教育发展计划"将以 ...

Core Insights - The Chinese mutual fund industry is undergoing a significant transformation towards high-quality development, shifting from a focus on scale to prioritizing investor returns [2][3] - The introduction of the "Action Plan for Promoting High-Quality Development of Public Funds" by the China Securities Regulatory Commission marks a new era for the industry, emphasizing investor interests as the core value [2][3] Industry Development - The mutual fund industry in China has expanded rapidly from 5 trillion to 30 trillion over the past decade, but investor experiences have not improved correspondingly [2] - The new policy aims to enhance investor trust and satisfaction through systematic reforms and service upgrades [2][3] Long-term Investment Focus - The policy emphasizes long-termism as a core practice to protect investor interests, moving away from short-term performance pressures that have historically plagued fund managers [3][4] - Fund managers are now required to have a minimum assessment period of three years, which helps mitigate the frequent style changes that have confused investors [4][6] Performance and Fee Structure - The introduction of a floating management fee structure links fund company earnings to investor performance, incentivizing fund managers to focus on delivering returns [8][9] - For example, the management fee for the Jiashi Growth Win Mixed Fund is contingent on outperforming benchmark indices, aligning the interests of fund companies with those of investors [8] Investment Strategy Recommendations - Investors are encouraged to focus on established funds with a track record of stability rather than chasing new or popular funds, which may be more volatile [11][12] - Regular investment in high-quality funds through a systematic investment plan (SIP) is recommended to mitigate market volatility and enhance long-term returns [12][16] Fund Selection Criteria - Investors should prioritize funds from companies with stable governance and low turnover rates among fund managers to ensure consistent performance [15][16] - The emergence of innovative products such as ESG funds, public REITs, and quantitative hedge funds offers diverse investment options for investors seeking to adapt to the evolving market landscape [15][16]

Core Insights - The overall market has been bullish over the past year, yet nearly 70% of quantitative hedge funds have reported negative unit net value growth [1] - Key factors contributing to the underperformance of quantitative hedge funds include rising hedging costs, insufficient style adaptability, liquidity pressures, and strategy homogeneity [1] - To broaden their sources of returns, many hedge funds are adjusting their allocation ratios flexibly based on hedging costs, while also enhancing the cost-effectiveness of their portfolios through strategies involving interest rate bonds, convertible bonds, and long equity positions [1]

1. Report Industry Investment Rating No relevant content provided. 2. Core Views of the Report - The report comprehensively analyzes public and private quantitative funds, covering aspects such as the basic characteristics of quantitative strategies, the development history of domestic quantitative investment, the current development status of the industry, the operational characteristics and performance of quantitative funds, the differences in investment operations between public and private quantitative funds, and how to select quantitative products [1][2][3]. - Quantitative strategies are based on historical data, using methods such as data mining and mathematical modeling to discover investment opportunities, with strong systematic and disciplined features. They focus on research breadth to achieve probability - based wins, different from subjective strategies that rely on research depth [10][11][12]. - Public and private quantitative funds have different development paths and characteristics. Public quantitative funds have experienced stages of growth, slowdown, and strategy diversification, while private quantitative funds have gone through explosive growth, stable development, and challenges [5][16][19]. - There are significant differences in regulatory requirements, management behaviors, investment strategies, and fee terms between public and private quantitative funds, which lead to differences in their risk - return characteristics [6]. - When selecting quantitative products, investors should use a four - dimensional evaluation system of "strategy deconstruction - positioning matching - indicator verification - ability evaluation" to consider factors such as strategy environment adaptability, risk - return characteristic persistence, and management team moat depth [6][90]. 3. Summary According to the Directory 3.1 Quantitative Strategy Basic Characteristics - Quantitative strategies use historical data to discover price change patterns and formulate investment strategies. The most widely used quantitative stock - selection model is the multi - factor model, including price - volume factors, fundamental factors, and alternative factors. Some funds also introduce machine learning factors [10]. - Quantitative strategies have strong strategy discipline, systematically mining investment opportunities and avoiding the influence of subjective emotions. Their risk - control systems are embedded in strategies, with different constraints for different types of products [11]. - Compared with subjective investment, quantitative investment focuses on research breadth and probability - based wins, with lower marginal costs and a wider range of tracked investment opportunities [12]. 3.2 Domestic Quantitative Investment Development History 3.2.1 Public Fund Quantitative Investment Development History - **Germination Period (2004 - 2014)**: From the exploration of "subjective + quantitative" to the initial application of the multi - factor model. The first index - enhanced fund and active quantitative stock - selection fund were established, and with the return of talents, the multi - factor stock - selection model was gradually applied [12][13][15]. - **Accelerated Growth Period (2015 - 2021)**: The multi - factor model became popular, and the scale of quantitative funds expanded rapidly. The scale of index - enhanced strategies increased significantly, while the scale of hedge strategies grew rapidly from 2020 and then declined [16]. - **Steady Development Period (2022 - present)**: The growth rate of the overall scale of public quantitative funds has slowed down, but strategies have become more diversified. Different product lines complement each other, and some managers introduce AI algorithms to iterate strategies [19]. 3.2.2 Private Fund Quantitative Investment Development History - Private quantitative funds have experienced three rounds of growth. From 2019 to 2021, there was explosive growth, with the scale reaching 1.08 trillion yuan at the end of 2021, accounting for 17.1% of the total scale of private securities investment funds. From 2021 to 2023, there was steady development, and in 2024, the industry faced challenges due to market fluctuations and stricter regulations. In 2025, private fund filings recovered [5][22][25]. 3.3 Public and Private Quantitative Fund Industry Development Status 3.3.1 Public Fund Quantitative Strategy and Pattern Distribution - **Strategy Classification**: Public quantitative strategies mainly include active quantitative strategies, index - enhanced strategies, and quantitative hedge strategies. Some equity parts of fixed - income + funds also use quantitative management methods [31]. - **Scale Distribution**: As of 2025Q1, the number of public quantitative equity funds reached 654, with a scale of 3025.88 billion yuan. Index - enhanced products had the largest scale, and the management scale concentration of the top ten managers was relatively high [32][37]. 3.3.2 Private Fund Quantitative Strategy and Manager Situation - **Strategy Classification**: Private quantitative investment strategies are more diverse, including quantitative long - only, stock neutral, convertible bond strategies, CTA strategies, other derivative strategies, arbitrage strategies, and composite strategies [38]. - **Hundred - Billion Private Quantitative Managers**: As of the end of June 2025, there were 39 hundred - billion private quantitative investment fund managers, accounting for nearly half of the total number of hundred - billion private funds [5]. 3.4 Operational Characteristics and Performance of Public and Private Stock Quantitative Funds 3.4.1 Operational Characteristics - **High Turnover**: Quantitative funds have a relatively high turnover rate, which helps capture short - term trading opportunities. Public quantitative funds' annual bilateral turnover is mainly between 2 - 20 times, and private quantitative funds' turnover is generally above 30 times [47][48]. - **Large Number of Holdings**: Quantitative funds usually hold a large number of stocks, with a high degree of diversification in stocks and industries. Public quantitative funds' holding numbers are mainly between 50 - 600, and some exceed 2000. They can reduce non - systematic risks [53][54]. 3.4.2 Performance - **Index - Enhanced Products**: The absolute and excess returns of index - enhanced products vary from year to year, with the overall excess - acquisition ability of CSI 1000 index - enhanced > CSI 500 index - enhanced > SSE 500 index - enhanced. Private index - enhanced funds generally have better excess returns than public ones, but with greater differentiation [57][58]. - **Active Quantitative Funds**: The performance of public and private active quantitative funds varies by year. In 2019 - 2020, public active quantitative funds performed better, while in 2018, 2021 - 2023, private ones performed better. Private funds have greater performance and drawdown differentiation [66]. - **Quantitative Hedge Funds**: Private quantitative hedge funds generally outperform public ones in terms of annual returns, but their performance and drawdown differentiation are also greater [70]. 3.5 Differences in Investment Operations between Public and Private Quantitative Funds - **Regulatory Requirements and Contracts**: Public quantitative funds are regulated by the "Securities Investment Fund Law", with high regulatory intensity and high information transparency. Private quantitative funds are regulated by the "Regulations on the Supervision and Administration of Private Investment Funds", with more customized contracts and higher risk levels [79]. - **Management Behaviors**: Public quantitative managers rely on institutionalized teams and standardized IT infrastructure, with a focus on systematic risk control and compliance. Private managers use an elite - based organizational structure, with higher hardware investment and employee incentives, and their product strategies may be more differentiated [81]. - **Investment Strategies and Restrictions**: Public quantitative funds have stricter constraints on investment scope, proportion, and tracking error, with lower turnover. Private quantitative funds have more flexible mechanisms, with higher turnover and greater elasticity in excess returns [6][84]. - **Fee Terms**: Private quantitative product fee terms are more complex, usually including management fees and performance rewards, while public quantitative products mainly charge fixed management fees and custody fees [6][87]. 3.6 How to Select Quantitative Products - When selecting quantitative products, investors should use a four - dimensional evaluation system of "strategy deconstruction - positioning matching - indicator verification - ability evaluation" to consider factors such as strategy environment adaptability, risk - return characteristic persistence, and management team moat depth [6][90].

Core Insights - The advantages of quantitative investment have become increasingly prominent in the market, particularly with the rise of public quantitative funds attracting a broader range of retail investors due to their lower entry barriers [1] - Major public fund companies, such as Fuguo Fund and Penghua Fund, are exploring deep applications of AI to enhance their quantitative fund products following the launch of the DeepSeek-R1 model by the private fund giant Huanfang [1] Group 1: Performance of Quantitative Funds - As of June 6, 2025, there are 921 public quantitative fund products with a mean return of 9.49% over the past year [1] - Among these, index-enhanced quantitative funds, active quantitative funds, and quantitative hedge funds have 464, 417, and 40 products respectively, with average returns of 15.51%, 14.07%, and -1.12% [1] - The proportion of positive returns for these funds is 97.19% for index-enhanced, 89.45% for active, and 37.5% for quantitative hedge funds, indicating that index-enhanced funds performed the best [1] Group 2: Top Performing Funds - The top 10 index-enhanced quantitative funds have a minimum return threshold of 37.61%, with the top three being managed by Chuangjin Hexin Fund, Huatai-PB Fund, and Dacheng Fund [3] - The "Chuangjin Hexin North 50 Component Index Enhanced A" fund has a one-year net value growth rate of 90.46%, outperforming its benchmark by 8.44% [5] - The "Huatai-PB CSI 2000 Index Enhanced A" fund achieved a one-year net value growth rate of 56.8%, also exceeding its benchmark by 23.27% [6] Group 3: Active Quantitative Funds - The top 10 active quantitative funds have a minimum return threshold of 42.43%, with the leading fund being "Noan Multi-Strategy A" which recorded a one-year net value growth rate of 90.2% [9][11] - This fund's performance significantly surpassed its benchmark, which only grew by 7.68% [11] - The top three active quantitative funds are managed by Noan Fund, CITIC Prudential Fund, and GF Fund [9] Group 4: Quantitative Hedge Funds - Among the 40 quantitative hedge funds, 8 achieved positive returns, with the top three managed by Fuguo Fund, ICBC Credit Suisse Fund, and Haifutong Fund [13] - The focus of quantitative hedge funds is to construct stock portfolios while using tools like index futures for risk hedging, aiming for absolute returns [13]

Core Insights - The article highlights the shift in investment strategies among individuals due to declining interest rates and the ineffectiveness of traditional savings methods [2][8] - It emphasizes the importance of financial literacy and adaptive investment approaches in a low-interest-rate environment [8] Group 1: Changing Investment Landscape - The People's Bank of China has lowered interest rates, with one-year deposit rates falling below 1%, leading to a decline in traditional savings returns [2] - Individuals are increasingly exploring alternative investment vehicles such as funds and stocks, indicating a broader trend towards financial diversification [2][3] Group 2: Innovative Financial Strategies - Community members are learning about new financial instruments like government bond reverse repurchase agreements and large-denomination time deposits, which offer better returns than traditional savings [3] - The use of short-term financial tools, such as T+0 wealth management products, is becoming popular as individuals seek to protect their savings from inflation [3][4] Group 3: Diverse Investment Approaches - Different investor profiles are emerging, such as conservative investors focusing on dividend index funds and REITs for stable income, while more aggressive investors are engaging in quantitative hedge funds and gold ETFs [4][5] - The article illustrates how individuals are adapting their strategies based on market conditions, with some using automated systems to manage their investments [5][6] Group 4: Financial Education and Technology - The rise of financial education initiatives, such as community workshops and apps that simulate real market conditions, is helping individuals improve their investment knowledge and decision-making [6][7] - Tools like "emotional temperature meters" are being developed to help investors manage their trading behaviors and avoid impulsive decisions [6][7] Group 5: Resilience in Investment - The narrative concludes with a reflection on the importance of patience and long-term thinking in investing, as individuals learn to navigate market volatility and economic changes [7][8] - The overall message is that financial freedom is achieved through a deep understanding of money and continuous personal development in investment strategies [8]