Core Viewpoint - The article emphasizes the importance of understanding the underlying logic of quantitative investment models to achieve stable excess returns in varying market environments [3][5][6]. Group 1: Evolution of Quantitative Investment - The article discusses the evolution of hedge funds, highlighting a shift towards quantitative investment as the primary method for generating alpha in the market [3]. - In China, quantitative investment is rapidly rising, with the E Fund's quantitative team integrating centralized and platform models to create a suitable development path [3][10]. - The E Fund's quantitative team has established a standardized workflow for data processing, enhancing efficiency across various stages of investment [5][25]. Group 2: Team Structure and Methodology - The E Fund's quantitative team is divided into factor groups and industry groups, focusing on statistical and fundamental quantitative models respectively, allowing for both collaboration and independent research [4][22]. - The investment philosophy of the team is driven by a logic-based approach, emphasizing the need to understand the underlying assumptions of models before application [8][18]. - The team aims to provide diverse sources of alpha, including stock selection and industry/style allocation, aligning with the goals of active equity teams [11][12][23]. Group 3: Performance and Strategy - The article presents performance metrics for E Fund's quantitative products, such as the E Fund High Dividend Quantitative Selection, which achieved a net value growth rate of 15.77% since its inception, outperforming its benchmark by 12.55% [6]. - The E Fund's quantitative models adapt to different market conditions, with the effectiveness of factors varying significantly based on economic environments [27][29]. - The team employs a combination of active and quantitative strategies to enhance performance, focusing on strict control of style exposure and leveraging market-specific characteristics [34][35]. Group 4: Future of Quantitative Investment - The article highlights the increasing role of AI in quantitative investment, with E Fund leveraging technology to enhance research efficiency and data processing capabilities [37]. - The company aims to develop a product line that meets the diverse needs of retail investors, focusing on clear and stable alpha generation [42]. - The article concludes that the stability of excess returns improves with a diversified approach to alpha sources, supported by the company's long-term commitment to building competitive advantages in the quantitative space [15][36].

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， ...

Core Insights - The article highlights the journey of Jin Yan, the Chief Investment Officer of YouShan Fund, emphasizing his unique blend of mathematical rigor and human insight in navigating the complexities of financial markets [1][2]. Group 1: Career Path and Investment Philosophy - Jin Yan transitioned from academia to investment banking, driven by the allure of quantitative finance and the opportunities it presented, ultimately choosing to pursue a career in the financial industry over a stable academic position [2]. - He acknowledges the importance of both a solid theoretical framework and psychological resilience in achieving investment success, while also recognizing the role of luck in the investment process [2]. Group 2: Daily Operations and Market Engagement - As a fund manager, Jin Yan begins his day by monitoring global market trends, a habit developed over decades, and maintains a focus on key information during trading hours [3]. - His work involves a continuous engagement with market dynamics, including meetings, roadshows, and risk management reviews, reflecting a commitment to staying informed and responsive [3]. Group 3: Investment Strategy and Market Dynamics - Jin Yan's experience in both investment banking and hedge funds has shaped his investment style, highlighting differences in execution and risk management based on the nature of capital sources [4]. - He notes that certain strategies, like Commodity Trading Advisor (CTA) strategies, perform better in the Chinese market due to the unique participant structure and local pricing mechanisms [5]. - The significant impact of policy variables in the Chinese market necessitates a deep understanding of national economic policies, which must align with investment strategies [6]. Group 4: Risk Management and AI Integration - Jin Yan emphasizes the critical nature of risk management in investment, viewing it as a dual challenge that involves both measurable risks and human behavioral biases [7][8]. - He shares key risk management principles, including decisive actions during significant drawdowns and the importance of institutional arrangements to mitigate emotional decision-making [8]. Group 5: Future Outlook and Investment Opportunities - Looking ahead, Jin Yan anticipates a resilient U.S. economy and a continued low-interest-rate environment, which he believes will positively influence global markets [9]. - He identifies potential investment opportunities in fixed income, equities, and commodities, particularly highlighting the ongoing relevance of quantitative strategies in a fluctuating market [9].

OpenAI的财报数据让我想起股市里那些"看上去很美"的报表。70%的计算利润率，这个数字确实耀眼，就像某些上市公司精心修饰的 财务指标。但细看之下，3500万付费用户的增速从42%骤降至13%，这不正是我们常在股市里看到的"成长股陷阱"吗？ 记得去年研究某科技龙头时，我也被其漂亮的毛利率迷惑过。直到用量化系统拆解其资金流向，才发现机构正在悄悄减持。现在 OpenAI面临的情况何其相似 - 表面光鲜的利润率下，是用户增长乏力的隐忧。 二、牛市赚钱的底层逻辑 一、AI巨头的盈利迷思 在清华读金融时，教授说过一句话让我铭记至今："市场永远在奖励效率"。这六年用量化系统的经历，让我对这句话体会尤深。 传统观念认为牛市要"捂股"，但数据告诉我完全相反的事实。去年跟踪的50只牛股中，83%都呈现"横盘数十天，上涨两三天"的特征。 就像OpenAI需要平衡技术投入与商业回报一样，投资者也要平衡持仓时间与资金效率。 我用量化系统做过测算：同样100万资金，在2023年牛市中，传统"捂股"策略收益约58%，而基于交易行为识别的动态调整策略收益达 121%。差距就来自对"机构补仓"时机的把握。 三、慢牛中的快调陷阱 这只股票让 ...

● 本报记者 魏昭宇 在中国公募基金行业快速发展的浪潮中，不少中小基金公司走出了自己的差异化发展之路。比如博道基 金，自2018年发行首只公募量化产品以来，其"指数+"系列已逐渐成为公募量化投资领域的一支重要力 量。截至今年三季度末，博道"指数+"系列规模已突破270亿元，跻身公募量化赛道前三，通过体系化的 团队建设、持续的策略迭代和特色的产品布局，为投资者提供了风格清晰、超额稳定的配置工具。 行稳方能致远，博道基金量化投资总监杨梦表示，不追求短期爆发力，而是致力于寻找能够穿越不同市 场周期的、可持续的超额收益来源，"均衡"的理念贯穿于投研全过程，从而助力投资者在波动的市场中 获得更好的持有体验。 历经淬炼 博道"指数+"的成长与积淀 博道基金对于量化的探索始于2013年，源自私募阶段的博道投资，并历经国内多轮市场周期考验。比如 2014年末的银行股权重股暴涨事件，对于不少量化团队来讲都是一次重大考验。得益于科学的风控模 型，博道量化产品在市场"黑天鹅"中稳健应对，为后续发展奠定基础。 2018年，博道基金以公募形式开始展业后发行了首只公募产品"博道启航"，标志着正式进军公募量化领 域。数据显示，截至2025 ...

● 本报记者 魏昭宇 在中国公募基金行业快速发展的浪潮中，不少中小基金公司走出了自己的差异化发展之路。比如博道基 金，自2018年发行首只公募量化产品以来，其"指数+"系列已逐渐成为公募量化投资领域的一支重要力 量。截至今年三季度末，博道"指数+"系列规模已突破270亿元，跻身公募量化赛道前三，通过体系化的 团队建设、持续的策略迭代和特色的产品布局，为投资者提供了风格清晰、超额稳定的配置工具。 行稳方能致远，博道基金量化投资总监杨梦表示，不追求短期爆发力，而是致力于寻找能够穿越不同市 场周期的、可持续的超额收益来源，"均衡"的理念贯穿于投研全过程，从而助力投资者在波动的市场中 获得更好的持有体验。 历经淬炼 博道"指数+"的成长与积淀 博道基金对于量化的探索始于2013年，源自私募阶段的博道投资，并历经国内多轮市场周期考验。比如 2014年末的银行股权重股暴涨事件，对于不少量化团队来讲都是一次重大考验。得益于科学的风控模 型，博道量化产品在市场"黑天鹅"中稳健应对，为后续发展奠定基础。 团队建设是博道"指数+"系列成长的基石。记者了解到，其量化团队成员均毕业于清北复交等知名院 校，全部由博道基金自主培养，已形 ...

今天看到一个很有意思的新闻，说，阿里的千问，发布了"2025十大AI提示词"，也就是统计了一下，大家最爱找AI问什么问题，虽然我现在对千 问的能力有比较大的质疑，其C端基数也还完全不够打，但看看也无妨。 " 本次入选的十大高频提示词分别为： 股票、八字、情感咨询、朋友圈文案、景点推荐、双色球号码、失眠、解答这道题、离婚财产分割、人 生的意义 。 " 从前三大提示词可以看出，发财、升官、（）老婆/公，确实一直是中国人 最硬核的人生目标，也是最困扰大家的。 不过这个榜单有一个地方有点看不懂，双色球每次开奖都是独立的随机事件，理论上历史的结果无法影响下一期，所以，大家问双色球号码是为了啥？ 而"解答这道题"，确实是很实用的场景，现在把题目用AI拍照提问，可以给出非常完整的解题过程，解决了大量三年级及以上家长，无力教子女写作业的 问题。 另外，个人感觉，未来C端用户足够大的大模型公司，都能自己搞个量化公司炒股，因为投资的本质是"人性"，是"相信相信的力量"，是"寻找共 识"，大模型有了足够多的客户基数后，可以相对准确地刻画出人性和一致预期，这些用户自己输入的语料，可以最终凝练为非常好的量化因 子，比现在量化从全市场的 ...

Core Viewpoint - The public fund industry is transitioning from a "scale-oriented" approach to a "quality-first" strategy, emphasizing sustainable core competitiveness amidst challenges like homogenized competition and declining fee rates [1][13]. Group 1: Investment Strategy and Research Framework - The essence of active management lies in professional fundamental research to identify and hold high-potential growth companies for long-term capital appreciation [2]. - The company employs a "top-down" and "bottom-up" research framework, ensuring investment portfolios capture industry growth while selecting individual stocks for significant alpha returns [2][3]. - The investment team has established a modern research management system covering the entire process, emphasizing a professional talent structure and efficient collaboration [3]. Group 2: Investment Process and Technology Integration - The investment process is driven by a dual approach of "refinement and intelligence," integrating deep research with intelligent quantitative support systems [4][5]. - The company has developed a comprehensive fund manager tagging system to evaluate investment logic consistency and stability, enhancing decision-making [4]. - A "human-machine collaboration" investment model is employed to improve decision-making efficiency and accuracy, combining human insights with machine processing capabilities [5]. Group 3: Product Strategy and Market Positioning - The company focuses on a "boutique, professional, and differentiated" product strategy, concentrating resources on active investment capabilities in core areas like equity, absolute return, and quantitative strategies [6]. - The active equity funds cover mainstream sectors such as technology growth, consumer upgrades, and advanced manufacturing, with notable products achieving excellent long-term performance [6][8]. - The fixed income team emphasizes a "solid" investment style, aiming for positive asset value growth in various market conditions, with products receiving high ratings from authoritative agencies [8]. Group 4: Recent Developments and Future Outlook - The appointment of the new general manager, Fang Jing, is expected to bring fresh perspectives and drive strategic innovation in product development and resource integration [12][14]. - The company has achieved a weighted average return of 252.42% over the past seven years, ranking 7th among 118 public fund companies, demonstrating resilience and the ability to generate excess returns [12]. - The company is committed to expanding its FOF product line to meet the growing demand for retirement investment solutions, leveraging its strengths in fund evaluation and asset allocation [11].

1. Report Industry Investment Rating No relevant information provided. 2. Core Views of the Report - The number of newly issued ETF products in the US last week remained high, with a well - known hedge fund, Man Group, issuing 2 active ETFs. The US ETF market showed significant inflows into domestic stock products, and bond products had excellent performance this year. The US ordinary public - offering funds had different trends in different periods, with domestic stock funds having large - scale outflows in a specific week [1]. 3. Summary by Relevant Catalog 3.1 US ETF Innovation Products: Man Group Issues Active ETF - Last week, there were 35 newly issued products in the US, with the number remaining high. Man Group issued 2 active ETFs: one is an emerging - market stock - picking product using fundamental and quantitative methods, allowing for both long and short positions; the other is a trend - tracking + stock product, investing 100% in US stocks and another 100% in a quantitative - driven trend - tracking strategy [1][4][6]. - There were over 10 single - stock products, and GraniteShares' YieldBOOST series issued 2 FOF products. Q3 issued a dynamic - allocation product, and Baron Capital issued a series of 5 active ETFs [5]. - Some theme ETFs were also issued, such as Tortoise's nuclear - industry chain ETF, Harbor's AI - related ETF, and Founders' ETF investing in founder - led companies [6]. 3.2 US ETF Dynamics 3.2.1 US ETF Funds: Significant Inflows into Domestic Stock Products - In the past week, US ETFs had inflows of over $80 billion, with domestic stock products having inflows of over $50 billion, and commodity ETFs also continued to have inflows [1][7]. - After being the top out - flowing product for two consecutive weeks, BlackRock's S&P 500 ETF was the top - flowing - in product last week, with nearly $100 billion in large - scale inflows. At the same time, products from Vanguard and State Street had outflows [1][10]. 3.2.2 US ETF Performance: Bond Products Performed Well Overall - US bond products have performed well this year. The comprehensive bond ETFs BND and AGG have had gains of over 7%, and both long - and short - term bond products have shown good performance [1][12]. 3.3 Recent Capital Flows of US Ordinary Public - Offering Funds - In October 2025, the total volume of non - money public - offering funds in the US was $23.7 trillion, an increase of $0.22 trillion compared to September. The scale of US domestic stock products increased by 0.9%, but the redemption pressure was still high [1][16]. - From December 3rd to December 10th, the outflows of US domestic stock funds expanded to $26.97 billion. Mixed products continued to have outflows, and the inflows of bond funds increased slightly [1][16].

1. Report Industry Investment Rating No information provided in the content. 2. Core View of the Report - The report focuses on the latest trends in overseas innovative financial products, specifically in the US ETF and mutual fund markets. It details new product launches, capital flows, and performance of different types of funds [1]. 3. Summary by Relevant Catalog 3.1 US ETF Innovation Products: Man Group Issues Active ETFs - Last week, 35 new products were issued in the US, with the issuance volume remaining high. Man Group issued two active ETFs: one is an emerging - market stock - picking product using fundamental and quantitative methods, allowing for both long and short positions; the other combines trend - following and stocks, with 100% investment in US stocks and 100% in a quantitative trend - following strategy [1][6]. - There were over 10 single - stock products, and GraniteShares issued two FOF products in its YieldBOOST series. Q3 issued a dynamic allocation product, and Baron Capital issued a series of five active ETFs [8]. - Some thematic ETFs were also issued, including a nuclear energy industry chain ETF and an AI - related ETF. Founders issued an ETF investing in founder - led companies [9]. 3.2 US ETF Dynamics 3.2.1 US ETF Capital: Domestic Stock Products See Significant Inflows - In the past week, US ETFs received inflows of over $80 billion, with domestic stock products receiving over $50 billion, and commodity ETFs also continuing to see inflows. After being the top out - flowing fund for two consecutive weeks, BlackRock's S&P 500 ETF was the top in - flowing fund last week, with nearly $100 billion in inflows, while products from Vanguard and State Street had outflows [1][10]. 3.2.2 US ETF Performance: Bond Products Perform Well Overall - This year, US bond products have performed well, with comprehensive bond ETFs BND and AGG having gains of over 7%. Both short - and long - term bond products have shown good performance [1][16]. 3.3 Recent Capital Flows of US Ordinary Public Mutual Funds - In October 2025, the total amount of non - monetary public mutual funds in the US was $23.7 trillion, an increase of $0.22 trillion from September. The S&P 500 rose 2.27% in October, and the scale of domestic stock products increased by 0.9%, but redemption pressure remained high. From December 3rd to December 10th, outflows from domestic stock funds widened to $26.97 billion, mixed products continued to see outflows, and inflows into bond funds increased slightly [1][20].