Core Viewpoint - The rapid development of index investment in the context of deepening capital market reforms and optimizing investor structure, with the total market ETF scale exceeding 5 trillion yuan by early September this year [1] Group 1: Index Investment Growth - The ETF management scale of Yongying Fund has surpassed 19 billion yuan, launching several industry-first products such as gold stock ETF, general aviation ETF, satellite ETF, and Hong Kong medical ETF [1] - The company emphasizes that index investment requires a deep understanding of industry development trends and forward-looking layouts rather than mere product replication [1] Group 2: Differentiated Development Strategy - Yongying Fund has adopted a unique "cake-cutting" strategy since 2020, focusing on niche opportunities within large industries, such as concentrating on the medical device sector instead of the entire medical industry [2] - This differentiated approach stems from in-depth research on industry trends, aligning with government strategic directions like low-altitude economy and commercial aerospace [2] Group 3: Performance and Growth - The strategy of early positioning in promising but under-explored areas has shown initial success, with products like gold stock ETF and medical device ETF performing well, contributing to the ETF total scale growing nearly threefold from 4.7 billion yuan at the beginning of the year [3] - Specific product performance includes gold stock ETF exceeding 10 billion yuan in scale within two years, medical device ETF nearing 5 billion yuan, and both general aviation ETF and satellite ETF surpassing 1 billion yuan [3] Group 4: Product Matrix Expansion - Following the validation of its differentiated layout, Yongying Fund has accelerated the development of its product matrix, establishing 11 ETF products covering various sectors [4] - The company aims to create a comprehensive "product shelf" to provide suitable investment tools regardless of market conditions, with plans to expand into core sectors like consumption, manufacturing, technology, and finance [4] Group 5: Quantitative Investment Development - Yongying Fund is actively developing its quantitative investment sector, primarily focusing on index enhancement strategies across multiple indices [5] - The company plans to increase investment in active quantitative strategies, including fundamental quantitative, multi-factor quantitative, and machine learning approaches [5] Group 6: Risk Management and Future Outlook - Yongying Fund emphasizes that quantitative investment is a technology-driven model that requires continuous effort and cannot guarantee easy success [6] - The company has established a strict risk management system to proactively manage risks, ensuring a better investment experience for investors [6] - Future plans include further enhancing product layout and research capabilities to provide more high-quality tool-type products, aiming for a differentiated development path through continuous innovation and refined management [6]

证券研究报告 | 基金研究（公募） 2025 年 9 月 20 日 A 股震荡调整，量化基金表现分化 量化基金周度跟踪（20250915-20250919） 本周（9 月 15 日-9 月 19 日）A 股震荡调整，量化基金表现分化。 本报告重点聚焦量化基金市场表现，总结近一周主要指数和量化基金业绩表现、 不同类型公募量化基金整体表现和业绩分布，以及本周收益表现较优的量化基 金，供投资者参考。 ❑市场整体表现： 本周量化基金表现分化，绝对收益方面，除 300 指增，其他指增基金绝对 收益均录得正值；主动量化和市场中性均录得负收益，主动量化平均跌 0.19%，市场中性平均跌 0.17%。超额收益方面，各类指增基金均跑输指 数，沪深 300 指增、中证 500 指增、中证 1000 指增、其他指增分别获得 -0.05%、-0.24%、-0.09%、-0.14%的超额。 ❑风险提示：图表中列示的数据结果仅为对市场及个基历史表现的客观描述，并 不预示其未来表现，亦不构成投资收益的保证或投资建议。 徐燕红 S1090524120003 xuyanhong@cmschina.com.cn 邓畅 S109052507000 ...

Quantitative Factors and Models Summary Quantitative Factors and Construction - **Factor Name**: Beta Factor **Construction Idea**: Measures the sensitivity of a stock's returns to market movements, capturing systematic risk **Performance**: Achieved a positive return of 0.73% this week, indicating a preference for high-beta stocks in the market [18] - **Factor Name**: Market Capitalization Factor **Construction Idea**: Captures the size effect, favoring large-cap stocks **Performance**: Delivered a positive return of 0.58%, reflecting a large-cap style in the market this week [18] - **Factor Name**: Growth Factor **Construction Idea**: Identifies stocks with high growth potential based on financial metrics **Performance**: Generated a positive return of 0.21% this week [18] - **Factor Name**: Non-linear Market Capitalization Factor **Construction Idea**: Aims to capture non-linear effects of market capitalization on stock returns **Performance**: Achieved a positive return of 0.21% this week [18] - **Factor Name**: Leverage Factor **Construction Idea**: Measures the financial leverage of a company, often linked to risk and return trade-offs **Performance**: Recorded a negative return of -0.25% this week [18] - **Factor Name**: Total Asset Growth Rate **Construction Idea**: Measures the growth in total assets, indicating expansion and investment **Performance**: Positive returns across multiple stock pools: - 2.41% in CSI 300 [12][13] - 2.12% in CSI 500 [14][15] - 1.09% in Liquidity 1500 [16][17] - **Factor Name**: Total Asset Gross Profit Margin (TTM) **Construction Idea**: Evaluates profitability relative to total assets over a trailing twelve-month period **Performance**: Positive returns across stock pools: - 2.02% in CSI 300 [12][13] - -0.54% in CSI 500 [14][15] - -0.02% in Liquidity 1500 [16][17] - **Factor Name**: ROE Stability **Construction Idea**: Measures the consistency of return on equity over time **Performance**: Positive returns across stock pools: - 1.53% in CSI 500 [14][15] - 1.22% in Liquidity 1500 [16][17] - **Factor Name**: ROA Stability **Construction Idea**: Measures the consistency of return on assets over time **Performance**: Positive returns across stock pools: - 0.76% in CSI 500 [14][15] - 1.89% in Liquidity 1500 [16][17] Quantitative Models and Construction - **Model Name**: PB-ROE-50 Portfolio **Construction Idea**: Combines price-to-book (PB) and return on equity (ROE) metrics to select stocks with strong valuation and profitability characteristics **Construction Process**: - Stocks are ranked based on PB and ROE metrics - Top 50 stocks are selected to form the portfolio - Portfolio is rebalanced periodically [23][24] **Performance**: - 1.04% excess return in CSI 500 - -0.28% excess return in CSI 800 - -0.03% excess return in the overall market [23][24] - **Model Name**: Institutional Research Portfolio **Construction Idea**: Tracks stocks frequently researched by public and private institutions, assuming their research signals potential outperformance **Performance**: - Public research strategy: 2.22% excess return relative to CSI 800 - Private research strategy: 1.51% excess return relative to CSI 800 [25][26] - **Model Name**: Block Trade Portfolio **Construction Idea**: Focuses on stocks with high block trade ratios and low short-term volatility, assuming these characteristics indicate informed trading **Construction Process**: - Stocks are ranked based on block trade ratios and 6-day trading volume volatility - Portfolio is rebalanced monthly [29][30] **Performance**: -0.98% excess return relative to CSI All Share Index [29][30] - **Model Name**: Private Placement Portfolio **Construction Idea**: Leverages event-driven strategies around private placements, considering factors like market capitalization and timing **Construction Process**: - Stocks involved in private placements are selected based on shareholder meeting announcements - Portfolio is adjusted for market capitalization and rebalanced periodically [34][35] **Performance**: -0.21% excess return relative to CSI All Share Index [34][35] Factor Backtesting Results - **Beta Factor**: Weekly return of 0.73% [18] - **Market Capitalization Factor**: Weekly return of 0.58% [18] - **Growth Factor**: Weekly return of 0.21% [18] - **Non-linear Market Capitalization Factor**: Weekly return of 0.21% [18] - **Leverage Factor**: Weekly return of -0.25% [18] - **Total Asset Growth Rate**: - CSI 300: 2.41% [12][13] - CSI 500: 2.12% [14][15] - Liquidity 1500: 1.09% [16][17] - **Total Asset Gross Profit Margin (TTM)**: - CSI 300: 2.02% [12][13] - CSI 500: -0.54% [14][15] - Liquidity 1500: -0.02% [16][17] - **ROE Stability**: - CSI 500: 1.53% [14][15] - Liquidity 1500: 1.22% [16][17] - **ROA Stability**: - CSI 500: 0.76% [14][15] - Liquidity 1500: 1.89% [16][17] Model Backtesting Results - **PB-ROE-50 Portfolio**: - CSI 500: 1.04% excess return - CSI 800: -0.28% excess return - Overall market: -0.03% excess return [23][24] - **Institutional Research Portfolio**: - Public strategy: 2.22% excess return relative to CSI 800 - Private strategy: 1.51% excess return relative to CSI 800 [25][26] - **Block Trade Portfolio**: -0.98% excess return relative to CSI All Share Index [29][30] - **Private Placement Portfolio**: -0.21% excess return relative to CSI All Share Index [34][35]

- 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]

Core Viewpoint - The report tracks the performance of various active quantitative strategies by GuoXin JinGong, aiming to outperform the median returns of actively managed equity funds, with a focus on four main strategies: Excellent Fund Performance Enhancement, Super Expected Selection, Broker Golden Stock Performance Enhancement, and Growth Stability Combination [2][3]. Group 1: Performance Overview - The Excellent Fund Performance Enhancement strategy had an absolute return of -0.28% this week and a year-to-date return of 27.54%, ranking in the 53.24 percentile among active equity funds [1][10]. - The Super Expected Selection strategy achieved an absolute return of 1.29% this week and 45.51% year-to-date, ranking in the 20.03 percentile among active equity funds [1][19]. - The Broker Golden Stock Performance Enhancement strategy reported an absolute return of 0.39% this week and 33.97% year-to-date, ranking in the 39.18 percentile among active equity funds [1][20]. - The Growth Stability Combination had an absolute return of -1.23% this week and 51.45% year-to-date, ranking in the 14.27 percentile among active equity funds [1][29]. Group 2: Excellent Fund Performance Enhancement - This strategy aims to benchmark against the median returns of actively managed equity funds, utilizing a quantitative approach to enhance performance based on the holdings of top-performing funds [7][34]. - The strategy has shown a historical annualized return of 20.31% from 2012 to mid-2025, outperforming the benchmark by 11.83% [37]. Group 3: Super Expected Selection - The strategy focuses on stocks with super expected events, selecting based on fundamental and technical criteria to build a portfolio that captures significant excess returns [40][41]. - It has achieved an annualized return of 34.49% from 2010 to mid-2025, outperforming the benchmark by 32.62% [41]. Group 4: Broker Golden Stock Performance Enhancement - This strategy leverages the broker's stock pool, reflecting both top-down industry analysis and bottom-up stock selection, aiming to outperform the ordinary equity fund index [42]. - The strategy has recorded an annualized return of 19.34% from 2018 to mid-2025, exceeding the benchmark by 14.38% [43]. Group 5: Growth Stability Combination - This strategy employs a two-dimensional evaluation system for growth stocks, prioritizing those closer to their earnings report dates to maximize excess returns [46]. - It has achieved an annualized return of 39.59% from 2012 to mid-2025, outperforming the benchmark by 34.73% [47].

Core Viewpoint - The article discusses the pressures and coping mechanisms of middle-aged individuals, particularly focusing on the challenges faced by middle-aged men and women in balancing work, family, and personal time [5][21][23]. Group 1: Middle-aged Men's Coping Mechanisms - Middle-aged men often find solace in hobbies such as fishing, gaming, and cycling as a way to relieve stress from work and family responsibilities [7][10]. - Social activities like playing cards are viewed as low-cost and healthy forms of relaxation for middle-aged men [10]. - The article highlights the contrast between men's and women's coping strategies, with men leaning towards hobbies and women seeking brief escapes from their responsibilities [10][14]. Group 2: Middle-aged Women's Challenges - Middle-aged women face significant pressure from multiple roles, including parenting and household responsibilities, leading to feelings of exhaustion and frustration [19][21]. - The article notes that women often feel the need to justify their desire for personal time, frequently using work-related excuses to carve out moments for themselves [25][26]. - A survey indicates that women experience a higher loss of leisure time due to childcare compared to men, particularly in families with multiple children [23][29]. Group 3: Stress Sources and Indices - The article provides a stress index for various sources of pressure, with childcare and household chores being the most significant contributors to stress for middle-aged women [19][20]. - Economic burdens, such as mortgages and loans, also contribute to the overall stress levels experienced by middle-aged individuals [21][19]. - Emotional support and respect are highlighted as critical yet often lacking elements in the lives of middle-aged women, exacerbating their feelings of isolation and stress [19][21].

Group 1 - Fujian Province's automobile exports increased by 55.9% in the first eight months, reaching 13.53 billion yuan, with significant growth in both traditional and emerging markets [2] - Exports to the EU rose by 119.4% to 1.57 billion yuan, while exports to the Middle East and ASEAN increased by 94.8% and 25.6%, totaling 5.21 billion and 1.35 billion yuan respectively, accounting for 48.4% of total exports [2] Group 2 - Alipay's two operating entities have changed their names, with the Alipay app's name remaining unchanged [3] - The name change reflects a strategic shift within the company while maintaining brand recognition [3] Group 3 - Chasing released its first smartphone, Dreame Space, which has already secured over 100 million yuan in pre-orders in overseas markets [4] Group 4 - Xiaomi's OTA recall targets specific models of the SU7 standard version produced before August 30, 2025, aimed at enhancing the reliability of driving assistance features [5][11] - The recall process is being managed and recorded according to standard procedures, despite no physical parts needing replacement [5] Group 5 - The founder of Yunnan Yunhai Yao passed away, prompting a statement from the CEO about the pressures faced in the restaurant industry [6] - The company aims to honor the founder's vision and continue to develop the brand [6] Group 6 - Oriental Selection is hosting a live concert in Xinjiang, featuring various artists, marking a new breakthrough in cultural tourism livestreaming [6] Group 7 - The Beijing Film Association issued an apology for improper methods in member outreach, committing to improve member services and information accuracy [7] Group 8 - The launch of the iPhone 17 series saw long queues at Apple's flagship store, with a notable preference for the new orange color and traditional silver [8] - The presence of scalpers was less pronounced, indicating a more rational market response [9] Group 9 - Huawei Cloud introduced the Robot to Cloud (R2C) protocol, with 20 initial partners collaborating to develop integrated robotic solutions across various sectors [9] Group 10 - GE Healthcare China responded to rumors of selling its Chinese business, emphasizing its commitment to providing high-quality medical services in the market [10] Group 11 - Shenzhen released its first monthly report on functional unmanned vehicles, highlighting over 900,000 deliveries of fresh produce in August and a total operational mileage exceeding 230,000 kilometers [12]

9月18日那天，A股市场突然"变脸"，三大指数集体跳水，成交额却创下3.17万亿的"天量"。朋友圈里顿时炸开了锅，有人喊着"快跑"，有人忙着"抄底"。我 盯着手机屏幕，突然想起十年前刚入市时的自己——也是这样，被市场的每一个波动牵着鼻子走。 直到后来我才明白，股市里最可怕的不是波动本身，而是我们总是用散户的思维去解读机构的游戏规则。就像这次调整，表面看是美联储降息预期兑现、资 金调仓、技术面承压，但真相往往藏在数据深处。 那天券商给出的分析报告我看了三份，内容大同小异：美联储降息预期兑现、资金调仓换股、技术面承压。但有趣的是，同样是这些消息，不同机构给出了 完全相反的判断——有的说"牛市根基未变"，有的建议"保持谨慎"。 这让我想起小时候听的「小马过河」故事。老牛说水很浅，松鼠说水会淹死人，到底该听谁的？股市里每天都在上演同样的戏码：同一个消息，有人说是利 好，有人说是利空。问题不在于消息本身，而在于解读消息的人站在什么立场。 机构有机构的算盘，散户有散户的局限。当多数人盯着消息面患得患失时，少数人早已通过大数据看到了资金流动的真相。就像我用的那个量化工具，它能 从海量交易数据中剥离出机构的操作痕迹——这才是 ...

Group 1 - The A-share market has been recovering this year, leading investors to focus on index products with clear strategies and stable styles, particularly enhanced index funds [1] - The CSI A500 Index is gaining attention as a benchmark for enhanced strategy products due to its scientific compilation, industry balance, and historically low valuation [1][3] - The CSI A500 Index is considered a "future-oriented" benchmark, covering many emerging industries and growth-oriented companies, showing strong long-term return potential [1][3] Group 2 - The enhanced index products aim to achieve excess returns while controlling tracking errors, utilizing quantitative models and industry rotation [2] - As of September 17, the National Gold CSI A500 Enhanced A fund achieved a year-to-date return of 27.50%, with an excess return of 7.74%, ranking second among 57 similar products [2] - National Gold Fund has been conducting quantitative live investment since 2016 and entered the public enhanced index product field in November 2022, focusing on machine learning and multi-dimensional information mining [2] Group 3 - The CSI A500 Index is deemed suitable for quantitative enhanced products due to its industry diversification and strong representation of constituent stocks [3] - In uncertain market conditions, broad-based index funds are highlighted for their risk diversification and opportunity capture, with the CSI A500 Index showing long-term allocation value [3]

Core Viewpoint - The China Securities Regulatory Commission (CSRC) has issued an "Action Plan for Promoting High-Quality Development of Public Funds," marking a shift from a focus on scale to prioritizing investor returns, signaling a new era for the public fund industry [1] Group 1: Team Collaboration and Technological Empowerment - The "Action Plan" emphasizes strengthening core investment research capabilities and encourages the use of technology to accelerate the construction of a "platform-based, integrated, multi-strategy" investment research system, which aligns closely with the characteristics of quantitative funds [2] - Quantitative investment relies on systematic methods, mathematical models, and information technology to identify patterns from vast amounts of data, executing investment decisions rigorously [2] Group 2: Stable Style and Precise Benchmarking - Quantitative funds typically select stocks across the entire market, holding hundreds or even thousands of stocks, which reduces specific risks through low concentration [3] - By employing risk models and optimization algorithms, quantitative funds ensure that their investment portfolios are constrained in terms of industry and style exposure, maintaining a high correlation with benchmarks and enhancing predictability of future returns [3] Group 3: Accumulating Small Gains for Excess Returns - Moving away from traditional research methods, quantitative funds utilize fundamental data, price-volume data, and alternative data, employing financial technology such as linear models, natural language processing, and machine learning to capture small pricing discrepancies from thousands of stocks [4] - This approach allows for stable acquisition of small excess returns over time, resulting in a smoother excess return curve with minimal explosive gains [4] Group 4: Seizing Opportunities and Responsibilities - Quantitative funds are presented with a historic opportunity to align their advantages with the industry's high-quality development trend, aiming to create more stable excess returns for investors [5]