Investment Rating - The report maintains an "Outperform the Market" rating for the securities industry [4][6]. Core Insights - The securities industry has shown high performance in the first three quarters of 2025, with total revenue reaching 421.42 billion yuan, a year-on-year increase of 42.57%, and net profit attributable to shareholders reaching 169.29 billion yuan, up 62.48% year-on-year [1][13]. - The growth in revenue and profit is attributed to a steady rise in the equity market, increased trading volumes, and a recovery in wealth management services [1][29]. - Financial investment assets have become the main expansion direction for securities companies, totaling 6,991.8 billion yuan by the end of Q3 2025, accounting for 47% of total assets [2][32]. Summary by Sections Revenue Structure - Investment income has increased its share, with brokerage income at 111.78 billion yuan, up 74.64%, and investment income at 187.04 billion yuan, up 43.86% [13][30]. - Total assets and net assets of listed securities firms reached 14.92 trillion yuan and 2.85 trillion yuan, respectively, reflecting a year-on-year increase of 21.74% and 13.16% [19][20]. High Growth in Capital-Intensive Business - Self-operated business revenue reached 186.86 billion yuan, a year-on-year increase of 43.8%, with major contributors being CITIC Securities, Guotai Junan, and China Galaxy [30][31]. - The report highlights a significant increase in equity investment scale, with self-operated equity securities and derivatives reaching 8.475 trillion yuan, up 32.6% from the end of 2024 [34][35]. Brokerage Business - The brokerage business has benefited from active market trading, with all listed securities firms reporting positive growth in brokerage income [13][14]. - The average trading commission rate remains low, indicating potential for further revenue growth [16][30]. Investment Banking Business - The domestic equity financing scale has shown recovery, with IPOs continuing to rebound and underwriting activities improving [29][30]. - The report notes a 61.49% year-on-year increase in the total amount raised through initial public offerings [29]. Asset Management Growth - The asset management scale continues to grow, with a steady transition towards public fund management [22][23]. - The report indicates that the new asset management regulations are promoting the public fund transformation of securities firms [24][25].

Group 1: Economic Overview - "反内卷" is a key focus for the "十五五" period, expected to drive China's economic narrative in the coming year[1] - China's PPI has experienced negative growth for 36 consecutive months since October 2022, with the GDP deflator remaining below zero for nine consecutive quarters starting mid-2023[14] - The low inflation environment mirrors the supply-demand mismatch seen during the late 1990s, indicating structural economic challenges[2] Group 2: Short-term Policy Measures - Short-term "反内卷" efforts will rely on policy interventions across industrial and macroeconomic dimensions, with a focus on administrative measures to address severe mismatches in certain sectors[3] - The fiscal deficit is projected to remain high at 3.8%-4.0% to support economic stability, with a total deficit expected to exceed 12 trillion yuan[52] - PPI is anticipated to recover from negative growth, with a target of achieving positive growth by mid-2026, supported by favorable base effects[67] Group 3: Long-term Reform Strategies - Long-term "反内卷" success hinges on structural reforms, including market-oriented reforms to eliminate local protectionism and enhance resource allocation efficiency[72] - The urbanization of approximately 250 million agricultural migrants is seen as a potential driver for increased domestic demand and income growth[74] - The government aims to transition from infrastructure-focused fiscal policies to those prioritizing social welfare and human capital investment[53]

Group 1: Economic Transition Insights - China is in a critical phase of economic transition, where the shift from old to new growth drivers is essential for overcoming growth bottlenecks and achieving high-quality development[1] - By 2027, emerging industries are expected to surpass traditional industries in terms of value added, with a projected value of approximately CNY 17.5 trillion for old industries and CNY 14.3 trillion for new industries in 2024[2] - The financial restructuring accompanying industrial transformation has been effective, with the non-performing loan ratio of major banks remaining stable compared to the previous transition period (1998-2002) when it exceeded 25%[2] Group 2: Employment and Structural Changes - Emerging industries have limited direct employment absorption capacity, with the construction industry employing between 12 to 20 million people, significantly outpacing the 6 million in high-tech manufacturing sectors[2] - The service sector's employment share is expected to structurally increase, which may take a longer time to address structural employment issues[2] - The transition from old to new economic drivers is characterized by a gradual shift in employment dynamics, requiring the widespread adoption of new business models and scenarios[2] Group 3: Industry Development Trends - Key emerging sectors such as semiconductors, software development, and maritime equipment are identified as future pillars of the economy, transitioning from "technological breakthroughs" to "commercial realization" phases[3] - The analysis of export comparative advantage indicates significant potential in sectors like optical instruments and chip manufacturing, which are crucial for national strategic goals[3] - The industrial lifecycle analysis shows that industries like software development and gaming are in a growth phase, with capital expenditure focused on technological upgrades and revenue growth[3]

Economic Growth Framework - The core task for the "14th Five-Year Plan" period is to achieve a per capita GDP of approximately $29,000 by 2035, positioning China among "medium-developed countries" [2] - The bottom-line target for annual real GDP growth is set at 4.2%, while the consensus target suggests a compound GDP growth rate of around 4.4% over the next decade [2] - The expected economic growth rate for the "14th Five-Year Plan" period is projected to be between 4.5% and 4.9%, with a likely internal control target of 4.8% to 5.0% for the upcoming year [2] New Growth Paradigm - The new growth paradigm emphasizes "dynamic iteration + moderate inflation + currency appreciation" as the driving forces for economic growth [1] - This paradigm shift is expected to fundamentally alter asset return characteristics and risk premiums, leading to a systematic outperformance of equity assets over fixed-income assets [1] - The transition in asset allocation is anticipated to move from a real estate-dominated structure to one centered around equity assets [1] Market Implications - The anticipated recovery in corporate profits, particularly in upstream cyclical industries, is expected to create structural opportunities in the stock market [3] - The bond market is likely to experience a rebound in interest rates as inflation indicators improve, with the yield curve expected to steepen [3] - The shift in asset attractiveness is projected to favor equities over real estate and fixed income, driven by improved earnings and valuation dynamics [3] Risks - Potential risks include volatility in overseas markets and uncertainties in domestic policy execution [4]

- The report tracks the performance of Guosen Financial Engineering's index enhancement portfolios, which are constructed based on multi-factor stock selection models targeting benchmarks such as CSI 300, CSI 500, CSI 1000, and CSI A500 indices[10][11][13] - The construction process of the index enhancement portfolios includes three main components: return prediction, risk control, and portfolio optimization[11] - The report monitors the performance of single-factor Maximized Factor Exposure (MFE) portfolios across different stock selection spaces, including CSI 300, CSI 500, CSI 1000, CSI A500 indices, and public fund heavy positions index[10][14][39] - The MFE portfolio construction process involves optimizing the portfolio to maximize single-factor exposure while controlling for constraints such as style exposure, industry exposure, individual stock weight deviation, and turnover rate[39][40][41] - The optimization model for MFE portfolios is defined as follows: $\begin{array}{ll}max&f^{T}\ w\\ s.t.&s_{l}\leq X(w-w_{b})\leq s_{h}\\ &h_{l}\leq H(w-w_{b})\leq h_{h}\\ &w_{l}\leq w-w_{b}\leq w_{h}\\ &b_{l}\leq B_{b}w\leq b_{h}\\ &\mathbf{0}\leq w\leq l\\ &\mathbf{1}^{T}\ w=1\end{array}$ where `f` represents factor values, `w` is the stock weight vector, and constraints include style factor deviation, industry deviation, individual stock weight deviation, and component stock weight limits[39][40] - The report highlights the weekly, monthly, and yearly performance of various factors in different stock selection spaces, such as CSI 300, CSI 500, CSI 1000, CSI A500 indices, and public fund heavy positions index[17][19][21][23][25] - Factors such as three-month volatility, one-month volatility, and three-month turnover performed well in the CSI 300 space recently, while factors like one-year momentum and single-quarter profit growth rate performed poorly[17][18] - In the CSI 500 space, factors like one-month turnover and BP showed strong performance recently, while one-year momentum and standardized unexpected earnings performed poorly[19][20] - In the CSI 1000 space, factors such as illiquidity shock and expected net profit growth performed well recently, while standardized unexpected revenue and one-year momentum showed weak performance[21][22] - In the CSI A500 space, factors like three-month volatility and one-month turnover performed well recently, while one-year momentum and standardized unexpected earnings performed poorly[23][24] - In the public fund heavy positions index space, factors such as one-month volatility and three-month turnover performed well recently, while standardized unexpected revenue and one-year momentum showed weak performance[25][26] - The report tracks the performance of public fund index enhancement products, including CSI 300, CSI 500, CSI 1000, and CSI A500 index enhancement funds, with detailed statistics on excess returns across different time periods[27][28][31][33][35][38]

证券研究报告 | 2025年11月15日 主动量化策略周报 微盘红利领航，成长稳健组合年内相对股基指数超额 22.76% 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-1.80%，相对偏股混合型基金指数超 额收益-1.09%。本年，优秀基金业绩增强组合绝对收益 25.03%，相对偏股 混合型基金指数超额收益-6.58%。今年以来，优秀基金业绩增强组合在主动 股基中排名 58.46%分位点（2028/3469）。 本周，超预期精选组合绝对收益-2.36%，相对偏股混合型基金指数超额收益 -1.64%。本年，超预期精选组合绝对收益 41.40%，相对偏股混合型基金指 数超额收益 9.79%。今年以来，超预期精选组合在主动股基中排名 27.15% 分位点（942/3469）。 以研报标题超预期与分析师全线上调净利润为条件筛选超预期事件股票池， 接着对超预期股票池进行基本面和技术面两个维度的精选，挑选出同时具备 基本面支撑和技术面共振的超预期股票，构建超预期精选股票组合。 券商金股业绩增强组合： 以券商金股股票池为选股空间和约束基准，采用组合优化的方式控制组合与 券商金股 ...

证券研究报告 | 2025年11月15日 京东集团-SW（09618.HK） 优于大市 2025Q3 点评：日百品类和平台业务快速增长，京东外卖亏损 环比小幅减少 本季度收入增长亮眼：本季度公司实现营业收入 2991 亿元，同比+15%， 分拆看，1）本季度京东零售收入 2506 亿元，同比+11%，收入强劲增长 主要受益于日百和市场营销收入加速增长，我们测算自营收入同比 11%， 其中带电品类收入增速 5%，商超品类收入增速 19%；自营增速环比 Q2 23% 的增速显著降低，主要由于国补高基数影响，且 Q3 多地国补额度用完 对带电品类销售带动减弱。本季度平台活跃用户数以及购物频次均实现 40%以上增长，年度活跃用户在 10 月突破 7 亿；2）京东物流收入 521 亿元，同比+15%；3）新业务收入同比+214%，主要由于京东外卖快速增 长导致。 公司利润：non-GAAP 净利润 58 亿元，non-GAAP 净利率 1.9%，与去年同 期相比下降 3.2pct。其中经调 EBITDA 利润率从 5.8%降至 0.8%。分业务 看，零售经营利润率从去年同期 5.2%提升至 5.9%，我们推测主要由于 ...

Quantitative Models and Construction Methods 1. Model Name: Hong Kong Stock Selection Portfolio - **Model Construction Idea**: The model aims to select stocks from the analyst-recommended stock pool based on both fundamental and technical aspects, focusing on stocks with fundamental support and technical resonance[13][15]. - **Model Construction Process**: - **Step 1**: Construct an analyst-recommended stock pool based on events such as analyst earnings forecast upgrades, initial analyst coverage, and analyst report titles exceeding expectations[15]. - **Step 2**: Perform dual-layer selection on the stocks in the analyst-recommended stock pool from both fundamental and technical dimensions[15]. - **Step 3**: Select stocks that exhibit both fundamental support and technical resonance to construct the Hong Kong Stock Selection Portfolio[15]. - **Backtesting Period**: 2010-01-01 to 2025-06-30, with an annualized return of 19.11% and an excess return of 18.48% relative to the Hang Seng Index after considering transaction costs in a fully invested state[15]. - **Model Evaluation**: The model effectively combines fundamental and technical analysis to select outperforming stocks, demonstrating significant excess returns over the benchmark index[15]. Model Backtesting Results - **Hong Kong Stock Selection Portfolio**: - **Absolute Return**: 69.65% (2025 YTD)[17] - **Excess Return Relative to Hang Seng Index**: 37.18% (2025 YTD)[17] - **Annualized Return**: 19.11%[15] - **Excess Return Relative to Hang Seng Index**: 18.48%[15] - **Information Ratio (IR)**: 1.22[19] - **Tracking Error**: 14.55%[19] - **Maximum Drawdown**: 23.73%[19] - **Return-to-Drawdown Ratio**: 0.78[19] Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: The factor measures the distance of the latest closing price from the highest closing price in the past 250 trading days, indicating the stock's momentum and trend-following potential[22]. - **Factor Construction Process**: - **Formula**: $$ \text{250-Day New High Distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $$ where $\text{Close}_{t}$ is the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price in the past 250 trading days[22]. - **Interpretation**: If the latest closing price sets a new high, the 250-Day New High Distance is 0; if the latest closing price falls from the new high, the distance is positive, indicating the extent of the decline[22]. - **Screening Criteria**: Stocks that have set a 250-day new high in the past 20 trading days are filtered based on analyst attention, relative stock strength, price path stability, and new high continuity[22][23]. - **Factor Evaluation**: The factor effectively captures momentum and trend-following characteristics, which are significant in the Hong Kong stock market[20]. Factor Backtesting Results - **250-Day New High Distance Factor**: - **Absolute Return**: 69.65% (2025 YTD)[17] - **Excess Return Relative to Hang Seng Index**: 37.18% (2025 YTD)[17] - **Annualized Return**: 19.11%[15] - **Excess Return Relative to Hang Seng Index**: 18.48%[15] - **Information Ratio (IR)**: 1.22[19] - **Tracking Error**: 14.55%[19] - **Maximum Drawdown**: 23.73%[19] - **Return-to-Drawdown Ratio**: 0.78[19]

- The market experienced a broad decline today, with the CSI 2000 index performing relatively well among scale indices, and the SSE Composite Index performing better among sector indices[2][6] - The banking, real estate, textile and apparel, pharmaceutical, and comprehensive industries performed relatively well, while the electronics, communications, computer, media, and new energy industries performed poorly[2][7] - Market sentiment was relatively high today, with 90 stocks hitting the daily limit up and 9 stocks hitting the daily limit down at the close[2][12] - The financing balance as of November 13, 2025, was 24,882 billion yuan, and the securities lending balance was 184 billion yuan, with the total margin balance accounting for 2.5% of the market's circulating market value[2][17][20] - The ETF with the highest premium on November 13, 2025, was the Internet ETF Shanghai-Hong Kong-Shenzhen, with a premium of 0.59%, while the ETF with the highest discount was the Zhejiang Merchants Zhijiang Phoenix ETF, with a discount of 0.73%[3][21] - The median annualized discount rates for the main contracts of the SSE 50, CSI 300, CSI 500, and CSI 1000 index futures over the past year were 0.39%, 3.23%, 10.86%, and 13.33%, respectively[3][26] - The stock with the most institutional research over the past week was Boying Special Welding, which was researched by 79 institutions[4][28] - The top ten stocks with net inflows from institutional seats on the Dragon and Tiger List on November 14, 2025, included Time-Space Technology, Hailu Heavy Industry, Zhongyi Technology, Lianhua Technology, Kangzhi Pharmaceutical, Kangpeng Technology, Worth Buying, Chengda Pharmaceutical, Zhaoyi Innovation, and Minsheng Health[4][33]

证券研究报告 | 2025年11月14日 热点追踪周报 由创新高个股看市场投资热点（第 219 期） 乘势而起：市场新高趋势追踪：截至 2025 年 11 月 14 日，上证指数、深 证成指、沪深 300、中证 500、中证 1000、中证 2000、创业板指、科创 50 指数 250 日新高距离分别为 0.97%、3.71%、2.52%、4.15%、1.90%、 0.66%、6.40%、11.56%。中信一级行业指数中纺织服装、轻工制造、综 合、交通运输、钢铁行业指数距离 250 日新高较近，食品饮料、综合金 融、国防军工、汽车、计算机行业指数距离 250 日新高较远。概念指数 中，HJT 电池、家居用品、林木、万得微盘股日频等权、储能、石油天 然气、锂矿等概念指数距离 250 日新高较近。 见微知著：利用创新高个股进行市场监测：截至 2025 年 11 月 14 日，共 1080 只股票在过去 20 个交易日间创出 250 日新高。其中创新高个股数量最多的 是基础化工、机械、电力设备及新能源行业，创新高个股数量占比最高的是 煤炭、钢铁、有色金属行业。按照板块分布来看，本周周期、制造板块创新 高股票数量最多 ...