Group 1 - The core viewpoint of the article is to track the performance of various active quantitative strategies developed by GuoXin Securities, which aim to outperform the median returns of actively managed equity funds [2][3][5] - The report includes four main strategies: Excellent Fund Performance Enhancement Portfolio, Super Expectation Selection Portfolio, Broker Golden Stock Performance Enhancement Portfolio, and Growth Stability Portfolio [2][3][5] Group 2 Excellent Fund Performance Enhancement Portfolio - This portfolio aims to benchmark against the median returns of actively managed equity funds, utilizing quantitative methods to enhance performance based on the holdings of top-performing funds [6][32] - As of this week, the portfolio achieved an absolute return of 2.14% and a relative excess return of 1.44% against the mixed equity fund index [11][19] - Year-to-date, the portfolio has an absolute return of 28.34%, with a relative excess return of -3.00%, ranking in the 49.90th percentile among 3,469 active equity funds [11][19] Super Expectation Selection Portfolio - This portfolio selects stocks based on super expectation events and analyst upgrades, focusing on both fundamental and technical criteria to identify stocks with strong support [13][39] - For the week, the portfolio recorded an absolute return of 0.72% and a relative excess return of 0.01% against the mixed equity fund index [19][40] - Year-to-date, it has achieved an absolute return of 41.78% and a relative excess return of 10.44%, ranking in the 26.58th percentile among active equity funds [19][40] Broker Golden Stock Performance Enhancement Portfolio - This strategy utilizes a stock pool from broker recommendations, optimizing the portfolio to minimize deviations from the stock pool while aiming to outperform the ordinary equity fund index [16][41] - This week, the portfolio achieved an absolute return of 1.62% and a relative excess return of 0.91% against the mixed equity fund index [20][44] - Year-to-date, it has an absolute return of 36.74% and a relative excess return of 5.40%, ranking in the 34.33rd percentile among active equity funds [20][44] Growth Stability Portfolio - This portfolio employs a two-dimensional evaluation system for growth stocks, prioritizing stocks closer to their earnings report dates to capture potential excess returns [25][45] - For the week, it recorded an absolute return of 0.09% and a relative excess return of -0.62% against the mixed equity fund index [28][46] - Year-to-date, the portfolio has achieved an absolute return of 49.78% and a relative excess return of 18.45%, ranking in the 17.50th percentile among active equity funds [28][46]

本周，成长稳健组合绝对收益 0.09%，相对偏股混合型基金指数超额收益 -0.62%。本年，成长稳健组合绝对收益 49.78%，相对偏股混合型基金指数 超额收益 18.45%。今年以来，成长稳健组合在主动股基中排名 17.50%分位 点（607/3469）。 证券研究报告 | 2025年12月13日 主动量化策略周报 基金强股票弱，优基增强组合本周相对股基指数超额 1.44% 核心观点 金融工程周报 国信金工主动量化策略表现跟踪： 本周，优秀基金业绩增强组合绝对收益 2.14%，相对偏股混合型基金指数超 额收益 1.44%。本年，优秀基金业绩增强组合绝对收益 28.34%，相对偏股 混合型基金指数超额收益-3.00%。今年以来，优秀基金业绩增强组合在主动 股基中排名 49.90%分位点（1731/3469）。 本周，超预期精选组合绝对收益 0.72%，相对偏股混合型基金指数超额收益 0.01%。本年，超预期精选组合绝对收益 41.78%，相对偏股混合型基金指 数超额收益 10.44%。今年以来，超预期精选组合在主动股基中排名 26.58% 分位点（922/3469）。 本周，券商金股业绩增强组合绝对收益 1. ...

- The report highlights the performance of the A-share market, with the CSI A50 leading the gains and the ChiNext Index showing strong performance[1][6] - The Dividend Enhanced Portfolio outperformed the CSI Dividend Total Return Index, with the Central SOE High Dividend 30 Portfolio and the Balanced Dividend 50 Portfolio achieving weekly excess returns of approximately 0.41% and 0.75%, respectively[6][21] - The Electronic Enhanced Portfolio also outperformed the Electronic Total Return Index, with the Electronic Balanced Allocation Enhanced Portfolio and the Electronic Sector Preferred Enhanced Portfolio achieving weekly excess returns of approximately 1.78% and 1.53%, respectively[6][29]

Core Viewpoint - The report tracks the performance of various active quantitative strategies by GuoXin Securities, focusing on their returns relative to the active equity fund median, with the aim of providing insights for investors [2][3]. Group 1: Performance Overview - The "Excellent Fund Performance Enhancement Portfolio" achieved an absolute return of 1.75% this week and a year-to-date return of 25.64%, underperforming the relative benchmark by 4.78% [1][10]. - The "Super Expected Selection Portfolio" recorded an absolute return of 1.56% this week and a year-to-date return of 40.76%, outperforming the benchmark by 10.35% [1][18]. - The "Brokerage Golden Stock Performance Enhancement Portfolio" had an absolute return of 0.67% this week and a year-to-date return of 34.55%, outperforming the benchmark by 4.14% [1][19]. - The "Growth and Stability Portfolio" achieved an absolute return of 0.21% this week and a year-to-date return of 49.66%, outperforming the benchmark by 19.24% [1][27]. Group 2: Strategy Summaries - The "Excellent Fund Performance Enhancement Portfolio" aims to outperform the median of active equity funds by utilizing a quantitative approach based on the holdings of top-performing funds [6][32]. - The "Super Expected Selection Portfolio" selects stocks based on positive earnings surprises and analyst upgrades, focusing on both fundamental and technical criteria [12][38]. - The "Brokerage Golden Stock Performance Enhancement Portfolio" is constructed using a selection of stocks from the brokerage's recommended list, optimizing for individual stock and style deviations [15][40]. - The "Growth and Stability Portfolio" employs a two-dimensional evaluation system for growth stocks, prioritizing those with upcoming earnings announcements to capture potential excess returns [24][44].

Quantitative Models and Construction Methods - **Model Name**: Excellent Fund Performance Enhancement Portfolio **Model Construction Idea**: Shift from benchmarking broad-based indices to benchmarking active equity funds, leveraging quantitative methods to enhance fund selection and achieve "best of the best" [4][18][50] **Model Construction Process**: 1. Benchmark against the median performance of active equity funds, represented by the mixed equity fund index (885001.WI) [18][50] 2. Use a performance-layered perspective to select funds, neutralizing return factors to avoid style concentration issues [50] 3. Optimize the portfolio to control deviations in individual stocks, industries, and styles relative to the selected fund holdings [51] **Model Evaluation**: Demonstrates strong stability and the ability to consistently outperform the median of active equity funds [50][51] - **Model Name**: Outperformance Stock Selection Portfolio **Model Construction Idea**: Focus on stocks with significant outperformance events, combining fundamental and technical analysis to select stocks with both fundamental support and technical resonance [5][56] **Model Construction Process**: 1. Filter stocks based on "outperformance" in research report titles and analysts' upward revisions of net profit [5][56] 2. Conduct dual-layer screening on the outperformance stock pool using fundamental and technical dimensions [56] **Model Evaluation**: Consistently ranks in the top 30% of active equity funds annually, with significant excess returns [56][57] - **Model Name**: Broker Gold Stock Performance Enhancement Portfolio **Model Construction Idea**: Use the broker gold stock pool as the stock selection space and constraint benchmark, optimizing the portfolio to control deviations in individual stocks and styles [6][31][61] **Model Construction Process**: 1. Benchmark against the mixed equity fund index and use the broker gold stock pool as the selection space [31][61] 2. Further refine the stock pool to achieve stable outperformance of the benchmark [61] **Model Evaluation**: Demonstrates strong alpha potential and consistently ranks in the top 30% of active equity funds annually [61][62] - **Model Name**: Growth and Stability Portfolio **Model Construction Idea**: Focus on the "time variable" in growth stock investments, constructing a two-dimensional evaluation system for growth stocks using a "time-series first, cross-section later" approach [7][66] **Model Construction Process**: 1. Introduce an "excess return release map" to identify the strongest excess return periods before and after positive events [66] 2. Prioritize stocks closer to their financial report disclosure dates and use multi-factor scoring to select high-quality stocks when the sample size is large [7][66] 3. Incorporate mechanisms such as weak balancing, transition, buffering, and risk avoidance to reduce turnover and mitigate risks [66] **Model Evaluation**: Consistently ranks in the top 30% of active equity funds annually, with high excess returns [66][67] Model Backtesting Results - **Excellent Fund Performance Enhancement Portfolio**: - Annualized return (2012.1.4-2025.6.30): 20.31% - Annualized excess return relative to mixed equity fund index: 11.83% - Most years ranked in the top 30% of active equity funds [52][55] - **Outperformance Stock Selection Portfolio**: - Annualized return (2010.1.4-2025.6.30): 30.55% - Annualized excess return relative to mixed equity fund index: 24.68% - Consistently ranked in the top 30% of active equity funds annually [57][59] - **Broker Gold Stock Performance Enhancement Portfolio**: - Annualized return (2018.1.2-2025.6.30): 19.34% - Annualized excess return relative to mixed equity fund index: 14.38% - Consistently ranked in the top 30% of active equity funds annually [62][65] - **Growth and Stability Portfolio**: - Annualized return (2012.1.4-2025.6.30): 35.51% - Annualized excess return relative to mixed equity fund index: 26.88% - Consistently ranked in the top 30% of active equity funds annually [67][70]

Quantitative Models and Construction Methods Dividend Enhancement Portfolio - **Model Name**: Dividend Enhancement Portfolio - **Model Construction Idea**: The model focuses on selecting high-quality dividend stocks and constructing portfolios that outperform the benchmark dividend index by leveraging dividend quality and growth factors[7][15][21] - **Model Construction Process**: - The portfolio is constructed by selecting stocks with high dividend yields and strong dividend growth potential - The selection process incorporates a combination of fundamental analysis and quantitative screening to identify stocks with stable and growing dividends - The portfolio is rebalanced periodically to ensure alignment with the dividend quality and growth criteria[13][14][15] - **Model Evaluation**: The model demonstrates strong performance in capturing excess returns over the benchmark dividend index, particularly in volatile market conditions[7][15][21] Electronic Balanced Allocation Enhancement Portfolio - **Model Name**: Electronic Balanced Allocation Enhancement Portfolio - **Model Construction Idea**: This model aims to achieve excess returns by balancing exposure across various sub-sectors within the electronics industry, focusing on growth and stability[7][24][29] - **Model Construction Process**: - The portfolio is constructed by allocating weights to sub-sectors such as LED chips and semiconductor distribution, which exhibit strong growth potential - Quantitative screening is applied to identify leading companies within these sub-sectors - The portfolio is periodically rebalanced to maintain a balanced exposure across the electronics industry[13][14][24] - **Model Evaluation**: The model effectively captures excess returns and ranks in the top 15% of active technology-themed products in terms of weekly performance[7][24][29] --- Model Backtesting Results Dividend Enhancement Portfolio - **Weekly Excess Return**: Approximately 0.23% for the "Central SOE High Dividend 30 Portfolio" and 1.45% for the "Balanced Dividend 50 Portfolio"[7][15][21] - **Year-to-Date Excess Return**: The "Balanced Dividend 50 Portfolio" achieved an excess return of approximately 7.91% relative to the benchmark dividend index, ranking in the top 35% of all dividend-themed funds[21] Electronic Balanced Allocation Enhancement Portfolio - **Weekly Excess Return**: Approximately 0.89%, ranking in the top 15% of active technology-themed products[7][24][29]

Core Insights - The report highlights that the small-cap growth sector has rebounded, with all four active quantitative strategies outperforming the equity index this week [1][12] - The performance tracking of Guosen Securities' active quantitative strategies shows significant absolute and relative returns across various combinations, indicating strong investment opportunities [1][12] Summary by Strategy Excellent Fund Performance Enhancement Strategy - This strategy achieved an absolute return of 4.01% this week and a year-to-date return of 23.48%, ranking in the 56.53 percentile among active equity funds [1][21] - The strategy aims to outperform the median return of active equity funds by utilizing a quantitative approach based on the holdings of top-performing funds [3][17] Expected Selection Strategy - The expected selection strategy recorded an absolute return of 3.89% this week and 38.59% year-to-date, ranking in the 27.24 percentile among active equity funds [1][29] - This strategy selects stocks based on positive earnings surprises and analyst upgrades, focusing on both fundamental and technical criteria [4][22] Broker's Golden Stock Performance Enhancement Strategy - This strategy achieved an absolute return of 5.02% this week and 33.65% year-to-date, ranking in the 35.37 percentile among active equity funds [1][37] - It utilizes a stock pool from broker recommendations, optimizing the selection to maintain alignment with the performance of the broker's stock pool [5][30] Growth Stability Strategy - The growth stability strategy reported an absolute return of 4.39% this week and 49.35% year-to-date, ranking in the 13.92 percentile among active equity funds [1][42] - This strategy employs a two-dimensional evaluation system for growth stocks, prioritizing those with upcoming earnings announcements to capture potential excess returns [6][38]

Core Viewpoint - The report tracks the performance of various active quantitative strategies by Guosen Securities, focusing on their absolute and relative returns against benchmarks, particularly the active equity fund median [2][3]. Group 1: Performance Overview - The "Excellent Fund Performance Enhancement Portfolio" achieved an absolute return of 4.01% this week and a year-to-date return of 23.48%, underperforming the mixed equity fund index by 5.75% [1][9]. - The "Super Expected Selection Portfolio" recorded an absolute return of 3.89% this week and 38.59% year-to-date, outperforming the mixed equity fund index by 9.36% [1][17]. - The "Brokerage Golden Stock Performance Enhancement Portfolio" had an absolute return of 5.02% this week and 33.65% year-to-date, exceeding the mixed equity fund index by 4.42% [1][18]. - The "Growth and Stability Portfolio" posted an absolute return of 4.39% this week and 49.35% year-to-date, outperforming the mixed equity fund index by 20.12% [1][26]. Group 2: Strategy Summaries - The "Excellent Fund Performance Enhancement Portfolio" aims to outperform the median returns of active equity funds by utilizing a quantitative approach based on the holdings of top-performing funds [5][31]. - The "Super Expected Selection Portfolio" selects stocks based on positive earnings surprises and analyst upgrades, focusing on both fundamental and technical criteria [11][37]. - The "Brokerage Golden Stock Performance Enhancement Portfolio" is constructed using a selection of stocks from the brokerage's recommended list, optimizing for individual stock and style deviations [14][39]. - The "Growth and Stability Portfolio" employs a two-dimensional evaluation system for growth stocks, prioritizing those with upcoming earnings announcements to capture potential excess returns [23][43].

- The report introduces two active quantitative strategies: "Dividend Selection Strategy" and "Industry High Winning Rate Strategy," launched by the Changjiang Quantitative Team since July 2023, aiming to provide alternative perspectives and investment choices for investors by tracking market hotspots and selecting industry stocks [7][14][15] - The "Dividend Series" includes two products: "Central State-Owned Enterprises High Dividend 30 Portfolio" and "Balanced Dividend 50 Portfolio," focusing on stable and growth-oriented dividend strategies. The "Industry Enhancement Series" targets the electronics sector, featuring "Electronics Balanced Allocation Enhancement Portfolio" and "Electronics Sector Preferred Enhancement Portfolio," which emphasizes mature sub-sector leading companies [15][16][21] - The "Central State-Owned Enterprises High Dividend 30 Portfolio" outperformed the CSI Dividend Total Return Index this week, achieving a weekly excess return of approximately 0.68%. The "Balanced Dividend 50 Portfolio" showed relatively high volatility recently but has achieved a significant excess return of about 6.14% since the beginning of 2025, ranking around the 40th percentile among all dividend fund products [16][21][23] - The "Electronics Balanced Allocation Enhancement Portfolio" and "Electronics Sector Preferred Enhancement Portfolio" failed to achieve positive excess returns this week. The former slightly underperformed the electronics total return index, while the latter struggled to keep pace [8][31][32]

Core Insights - The report highlights the performance tracking of Guosen Securities' active quantitative strategies, indicating a significant adjustment in small-cap growth stocks, with the Growth Steady Portfolio achieving a year-to-date return of 48.45% [1][2][3] Performance Overview - The Excellent Fund Performance Enhancement Portfolio recorded an absolute return of -5.06% this week and 18.71% year-to-date, ranking in the 59.18th percentile among active equity funds [1][24] - The Exceeding Expectations Selected Portfolio had an absolute return of -5.67% this week and 33.39% year-to-date, ranking in the 26.72nd percentile among active equity funds [1][32] - The Broker Golden Stock Performance Enhancement Portfolio achieved an absolute return of -4.15% this week and 27.25% year-to-date, ranking in the 38.69th percentile among active equity funds [1][39] - The Growth Steady Portfolio saw an absolute return of -7.33% this week and 43.06% year-to-date, ranking in the 13.84th percentile among active equity funds [2][44] Strategy Summaries - The Excellent Fund Performance Enhancement Portfolio is constructed by benchmarking against active equity funds rather than broad indices, utilizing quantitative methods to select superior holdings [3][19] - The Exceeding Expectations Selected Portfolio is built by screening stocks based on exceeding expectations and analyst profit upgrades, focusing on both fundamental and technical criteria [4][25] - The Broker Golden Stock Performance Enhancement Portfolio is based on a selection of stocks from the broker's golden stock pool, optimized to minimize deviation from the benchmark [5][61] - The Growth Steady Portfolio employs a two-dimensional evaluation system for growth stocks, prioritizing those closer to earnings report dates and using multi-factor scoring for selection [6][40]