- The report introduces a quantitative model based on the "250-day new high distance" to track market trends and identify investment hotspots. The calculation formula is: $ 250\text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ where $\text{Close}_{t}$ represents the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days. If the latest closing price hits a new high, the distance is 0; otherwise, it is a positive value indicating the degree of fallback [11][19][26] - The model evaluates the effectiveness of momentum and trend-following strategies, referencing studies by George (2004), William O'Neil's CANSLIM framework, and Mark Minervini's "Stock Market Wizard," which emphasize the importance of stocks near their 52-week highs as potential leaders in market uptrends [11][18][21] - A screening method for "stable new high stocks" is introduced, focusing on factors such as analyst attention, relative stock strength, price path smoothness, and sustained new highs. Key metrics include: - Analyst attention: At least 5 buy or overweight ratings in the past 3 months - Relative stock strength: Top 20% in 250-day returns - Price path smoothness: Evaluated using metrics like price displacement ratio - Sustained new highs: Average 250-day new high distance over the past 120 days - Trend continuation: Average 250-day new high distance over the past 5 days [26][28][29] - The report identifies 41 "stable new high stocks" based on the above criteria, with the majority belonging to cyclical and manufacturing sectors. Notable industries include non-ferrous metals and machinery [29][30][32] - Backtesting results show that cyclical and manufacturing sectors have the highest number of stocks achieving new highs, with cyclical stocks leading in non-ferrous metals and manufacturing stocks excelling in machinery [19][20][29]

Investment Rating - The report maintains an "Outperform" rating for the industry [2] Core Insights - The current financial system in China is significantly exhibiting characteristics of a "Big Central Bank," with the People's Bank of China reshaping the asset management industry's ecology and operational logic through various monetary tools and macro-prudential management frameworks [4] - By 2026, the bond market is expected to see a structural shift where large commercial banks will enhance their market pricing influence due to closer liquidity ties with the central bank, while public funds and smaller banks will face constraints in bond investment, particularly in long-term securities [4] - The equity market is anticipated to maintain a slow bull trend, supported by a continued trend of "deposit migration" among residents, potentially bringing in an incremental capital of 4-5 trillion yuan into asset management products and direct market investments [4] Summary by Sections Central Bank and Banking - The central bank is narrowing the interest rate corridor by introducing the 7-day reverse repurchase rate as the main policy rate, which allows for more flexible monetary control [8][12] - The central bank's operations, including the buying and selling of government bonds, are aimed at stabilizing long-term bond rates and managing market expectations [13][14] Banking Wealth Management - The trend of "deposit migration" is expected to benefit the growth of wealth management scale, as traditional savings rates decline and residents seek higher returns [66] - The scale of bank wealth management products is projected to continue growing, with the current estimated size around 33 trillion yuan [70] - Despite a downward trend in performance benchmarks for newly issued wealth management products, they are still expected to remain above deposit rates, driving banks to enhance their middle-income business [75] Insurance Asset Management - The report highlights the potential for "low guaranteed + high floating" products, particularly dividend insurance, to thrive in a low-interest-rate environment, as they help insurers manage liability costs effectively [108] - By 2025, insurance capital is expected to increase its allocation to equity assets, with a focus on high-dividend investment opportunities and long-term bonds to mitigate asset-liability duration mismatch risks [123][124]

Quantitative Models and Construction Methods Model Name: 250-Day New High Distance Model - **Model Construction Idea**: The model is based on the concept that stocks nearing their 52-week high tend to outperform those further away from their highs, as supported by prior research and methodologies like CANSLIM and momentum strategies[11][18] - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250 \text{-day new high distance} = 1 - \frac{\text{Closet}}{\text{ts\_max(Close, 250)}} $ - **Closet**: The latest closing price - **ts\_max(Close, 250)**: The maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value representing the degree of decline[11] - **Model Evaluation**: The model effectively identifies stocks and indices that are leading the market trends, serving as a useful tool for tracking momentum and market hotspots[11][18] Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on identifying stocks with smooth price paths and consistent momentum, as smoother momentum stocks tend to outperform those with jumpy price paths[26] - **Model Construction Process**: Stocks are selected from those that have reached a 250-day new high in the past 20 trading days, based on the following criteria: 1. **Analyst Attention**: At least 5 "Buy" or "Overweight" ratings in the past 3 months 2. **Relative Strength**: Top 20% in 250-day price performance 3. **Price Stability**: - **Price Path Smoothness**: Measured by the ratio of price displacement to total price movement - **Sustained New Highs**: Average 250-day new high distance over the past 120 days 4. **Trend Continuity**: Average 250-day new high distance over the past 5 days, with the top 50 stocks selected based on rankings[26][28] - **Model Evaluation**: The model emphasizes smooth momentum and sustained trends, which are less likely to attract excessive attention, potentially leading to stronger momentum effects[26] --- Model Backtesting Results 250-Day New High Distance Model - **Indices' 250-Day New High Distances**: - Shanghai Composite: 3.14% - Shenzhen Component: 4.21% - CSI 300: 3.44% - CSI 500: 5.98% - CSI 1000: 4.00% - CSI 2000: 2.50% - ChiNext Index: 6.47% - STAR 50 Index: 13.84%[12][33] Stable New High Stock Selection Model - **Selected Stocks**: 41 stocks were identified as stable new high stocks, including Zhongji Xuchuang, Guangku Technology, and Yaxiang Jicheng[29][34] - **Sector Distribution**: - Cyclical Sector: 17 stocks, with the majority in the non-ferrous metals industry - Manufacturing Sector: 13 stocks, with the majority in the machinery industry[29][34] --- Quantitative Factors and Construction Methods Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's latest closing price compared to its 250-day high, capturing momentum and trend-following characteristics[11] - **Factor Construction Process**: $ 250 \text{-day new high distance} = 1 - \frac{\text{Closet}}{\text{ts\_max(Close, 250)}} $ - **Closet**: The latest closing price - **ts\_max(Close, 250)**: The maximum closing price over the past 250 trading days[11] Factor Name: Price Path Smoothness - **Factor Construction Idea**: Quantifies the smoothness of a stock's price movement, as smoother paths are associated with stronger momentum effects[26] - **Factor Construction Process**: - Calculated as the ratio of price displacement to the total price movement over a given period[26] Factor Name: Sustained New Highs - **Factor Construction Idea**: Tracks the consistency of a stock's ability to maintain new highs over time, reflecting sustained momentum[26] - **Factor Construction Process**: - Average 250-day new high distance over the past 120 days[28] Factor Name: Trend Continuity - **Factor Construction Idea**: Measures the short-term continuation of a stock's trend, emphasizing recent momentum[26] - **Factor Construction Process**: - Average 250-day new high distance over the past 5 days, with stocks ranked and selected based on this metric[28] --- Factor Backtesting Results 250-Day New High Distance Factor - **Indices' 250-Day New High Distances**: - Shanghai Composite: 3.14% - Shenzhen Component: 4.21% - CSI 300: 3.44% - CSI 500: 5.98% - CSI 1000: 4.00% - CSI 2000: 2.50% - ChiNext Index: 6.47% - STAR 50 Index: 13.84%[12][33] Price Path Smoothness Factor - **Selected Stocks**: 41 stocks were identified, with the majority belonging to the cyclical and manufacturing sectors[29][34] Sustained New Highs Factor - **Selected Stocks**: Stocks with consistent new highs over the past 120 days were prioritized, with examples including Zhongji Xuchuang and Guangku Technology[29][34] Trend Continuity Factor - **Selected Stocks**: Stocks with the highest rankings in 5-day trend continuity were included, emphasizing short-term momentum[28][29]

证券研究报告 | 2025年12月05日 公司研究·公司快评 基础化工·农化制品 投资评级：优于大市（维持） 证券分析师： 杨林 010-88005379 yanglin6@guosen.com.cn 执证编码：S0980520120002 证券分析师： 王新航 0755-81981222 wangxinhang@guosen.com.cn 执证编码：S0980525080002 事项： 公司公告：兴发集团全资子公司湖北兴顺新材料有限公司与青海弗迪实业有限公司（系比亚迪股份有限公 司全资孙公司）签署《磷酸铁锂委托加工协议》，由青海弗迪委托兴顺新材料加工生产 8 万吨/年磷酸铁锂 产品，并支付加工费。协议期限 2 年，经双方协商一致，可自动续约 1 年。 国信化工观点：1）我们看好储能及新能源汽车需求快速增长背景下磷酸铁锂需求增长，磷酸铁锂价格和 利润有望得到修复，此次兴发集团与比亚迪就磷酸铁锂达成合作将促使兴发集团产能释放，盈利改善。我 们维持公司 2025-2027 年盈利预测，预计公司 2025-2027 年归母净利润分别为 19.06/21.54/23.33 亿元， 摊薄 EPS 为 1.73/1.95 ...

证券研究报告 | 2025年12月05日 银行业 2026 年经营展望：价格篇 优于大市 货币政策相机抉择，净息差下降尾声 目前大行净息差底线水平约 1.2%~1.3%，已在底线附近。（1）净息差底线思 维的必要性：从资本平衡、盈亏平衡以及风险定价机制等角度而言，净息差 维持一个合理水平是守住经济增长和金融稳定必要条件。（2）大行净息差 底线测算：首先，确定经济增速目标以及对应的银行业总资产增速。预计"十 五五"期间名义 GDP 增速为 6.0%~6.9%，对应的 M2 增速需要维持在约 7.0%~8.0%；根据 M2 派生方式，银行业总资产扩张速度约 6.0%~7.0%。然后， 资本角度测算，大行 ROE 底线约 7%~8%，据此测算净息差底线约 1.2%~1.3%。 若 LPR 下降 10bps，存款利率不调降，2026 年净息差同比下降约 5~8bps。 （1）首先，不考虑 LPR 继续下降，模型测算结果显示，2026 年贷款利 率下降约 24bps，存款利率下降约 14~17bps，对应的存贷业务拖累净息 差下降约 2~5bps。（2）不过我们判断 2026 年 LPR 大概率下降 10bps， 存款 ...

证券研究报告 | 2025年12月05日 | 晨会纪要 | | --- | | 数据日期:2025-12-04 | 上证综指 | 深证成指沪深 | 300 指数 | 中小板综指 | 创业板综指 | 科创 50 | | --- | --- | --- | --- | --- | --- | --- | | 收盘指数（点） | 3875.79 | 13006.71 | 4546.56 | 13937.07 | 3749.90 | 1326.16 | | 涨跌幅度（%） | -0.05 | 0.39 | 0.34 | -0.06 | 0.23 | 1.36 | | 成交金额（亿元） | 6237.12 | 9252.47 | 3487.67 | 3137.25 | 4117.28 | 487.47 | $\frac{\pi\alpha}{\pi\alpha}\pm\frac{\pi\alpha}{\pi\alpha}$ (1998) (200) 行业与公司 计算机行业 2025 年 12 月投资策略暨财报总结-2025Q3：海外大厂业绩均 超预期，资本开支持续上行 北交所 2025 年 11 月月报：北证 50 震 ...

- The report does not contain any quantitative models or factors for analysis[1][2][3]

Market Overview - The Hang Seng Tech Index fell by 5.2% in November, while the Nasdaq Internet Index decreased by 3.5% during the same period [11][13] - Individual stock performances varied, with JD Health, Meituan, and NetEase being the top performers in Hong Kong stocks, while Google, Vipshop, and Beike led in the US market [13][14] - The PE-TTM of the Hang Seng Tech Index slightly rebounded to 23.64x as of December 3, 2025, positioning it at the 34.41% percentile since its inception [16] AI Developments - Google launched Gemini 3 Pro and the new image generation and editing model NANO BANANA PRO [2][18] - OpenAI introduced the GPT-5.1 series model and ChatGPT group chat feature [22][23] - Meta's HSTN AI glasses are set to launch in India, while Microsoft upgraded its Copilot suite and introduced the Fara-7B model [27][30] Industry Dynamics - The domestic gaming market showed steady growth in October, with a record number of domestic game approvals in November [43][44] - Payment institutions' reserve funds increased by 8% year-on-year in October [45] - E-commerce platforms reported strong performance during the Double 11 shopping festival, with significant sales growth across various brands [48][49] Investment Strategy - The report suggests that AI is significantly empowering the advertising growth of internet giants, with Tencent's advertising business accelerating in Q3 [3] - Alibaba Cloud's growth accelerated to 34% year-on-year in Q3, up from 26% in the previous quarter [3] - The report recommends focusing on AI-driven stock selection, particularly highlighting Alibaba and Tencent as key investment opportunities [3]

2025年12月04日 证券研究报告 | 户外新消费研究：折叠自行车行业专题 高景气新消费赛道，龙头引领扩容与破圈 行业研究 · 行业专题 耐用消费品 投资评级：优于大市（维持） 0755-81981391 0755-81982606 010-88005446 dingshijie@guosen.com.cn chenweiqi@guosen.com.cn liujiaqi@guosen.com.cn lijing29@guosen.com.cn S0980520040004 S0980520110004 S0980523070003 S0980525080003 证券分析师：丁诗洁 证券分析师：陈伟奇 证券分析师：刘佳琪 证券分析师：李晶 请务必阅读正文之后的免责声明及其项下所有内容 报告摘要： 请务必阅读正文之后的免责声明及其项下所有内容 2 Ø 折叠自行车行业：小而美&高增速的新消费赛道。折叠自行车以轻巧+便携+适应城市生活为核心特点，成为城市通勤及休闲运动的新兴工具； 技术工艺迭代路径从追求便携轻巧到兼具专业性能。2019-2024年全球自行车需求整体平稳，折叠自行车渗透率低、增速快，在全球的销量渗 ...

Market Overview - The Hang Seng Tech Index fell by 5.2% in November, while the Nasdaq Internet Index decreased by 3.5% during the same period [11][13] - Individual stock performances varied, with JD Health, Meituan, and NetEase being the top performers in Hong Kong, while Google, Vipshop, and Beike led in the US market [13][14] - The price-to-earnings ratio (PE-TTM) of the Hang Seng Tech Index slightly rebounded to 23.64x as of December 3, 2025, positioning it at the 34.41% percentile since its inception [16] AI Developments - Google launched Gemini 3 Pro and the new image generation and editing model NANO BANANA PRO, enhancing its AI capabilities [2][20] - OpenAI introduced the GPT-5.1 series model and ChatGPT group chat feature, marking significant advancements in AI interaction [22][24] - Tencent and Alibaba also made strides in AI, with Tencent releasing new models and Alibaba launching the AI Mode on its international platform [32][34] Industry Dynamics - The domestic gaming market showed steady growth in October, with a record number of domestic game approvals in November [43][44] - Payment institutions saw an 8% year-on-year increase in reserve funds in October, indicating a healthy growth trend in the fintech sector [45] - E-commerce platforms reported strong performance during the Double 11 shopping festival, with Tmall and JD achieving record sales [48][49] Investment Strategy - The report suggests focusing on AI-driven companies, particularly Alibaba and Tencent, as they are expected to benefit from AI's impact on advertising and cloud services [3][4] - The anticipated reduction in losses for food delivery services like Alibaba, Meituan, and JD in Q4 presents a favorable investment opportunity [3]