2026 年 01 月 11 日 《公募费率改革收官, 非银板块向上突破 动能充盈——非银金融行业周报 (2025/12/29-2025/12/31)》 2026/01/05 《高弹性标签助力板块"破圈"，看好资负 两端改善趋势 -- 2026 年保险行业策略 报告》 2025/11/18 《证券行业 2026 年投资策略：权益浪潮 下的券商机遇：财富扩容，国际增效》 2025/11/17 证券分析师 罗钻辉 A0230523090004 luozh@swsresearch.com 孙冀齐 A0230523110001 sunjg@swsresearch.com 金黎丹 A0230525060004 jinld@swsresearch.com 联系人 罗钻辉 A0230523090004 luozh@swsresearch.com 万宏源研究微信服务 续看好全年非银板块价值重 非银金融行业周报（2026/1/5-2026/1/9） 本期投资提示: 时代人行业 相关研究 请务必仔细阅读正文之后的各项信息披露与声明 苏研究招 0 券商：本周申万券商 II 指数收跌 1.90%，跑输沪深 300 指数 0.89pc ...

Group 1: Core Conclusions - The financial industry saw a weekly increase of +2.60% in the non-bank financial index, underperforming the CSI 300 index by 0.19 percentage points [1] - The insurance sector outperformed with a weekly increase of +3.58%, benefiting from strong performance in listed insurance companies [1][9] - The banking sector experienced a decline of -1.90%, underperforming the CSI 300 index by 4.69 percentage points, with all types of banks showing negative performance [1][9] Group 2: Insurance Sector Insights - The insurance sector's strong performance is driven by high growth in "opening red" earnings, indicating a solid investment logic with improving fundamentals [1][13] - The sector benefits from a dual drive of asset under management (AUM) expansion and interest rate spread recovery, with a clear trend of increasing industry concentration [1][17] - Recommended companies in the insurance sector include China Pacific Insurance, China Ping An, China Life (H), and New China Life [3] Group 3: Brokerage Sector Insights - The brokerage sector saw a weekly increase of +1.90%, with a PB valuation of 1.41x, indicating potential for valuation recovery [2][18] - Notable developments include GF Securities' plan to raise funds through H-share placement to support international business expansion [2][18] - Recommended brokerages include Guotai Junan, Huatai Securities, and CITIC Securities, focusing on those with strong fundamentals and low valuations [3][19] Group 4: Banking Sector Insights - The banking sector's PB valuation stands at 0.53x, with expectations for interest margin recovery in 2026, driven by reduced re-pricing pressure on loans [2][21] - The People's Bank of China indicated a continuation of a moderately loose monetary policy, which is expected to support the banking sector's performance [2][21] - Recommended banks include Hangzhou Bank, with additional focus on Qingdao Bank and Ningbo Bank for potential recovery opportunities [3][22]

Quantitative Models and Construction Methods 1. Model Name: Volume Model - **Construction Idea**: The model uses trading volume data to predict market trends[1][13] - **Construction Process**: The model analyzes the trading volume of various broad-based indices to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in capturing short-term market movements[1][13] 2. Model Name: Feature Dragon Tiger List Institutional Model - **Construction Idea**: This model uses institutional trading data from the Dragon Tiger List to predict market trends[1][13] - **Construction Process**: The model analyzes the trading activities of institutions listed on the Dragon Tiger List to generate buy or sell signals[1][13] - **Evaluation**: The model is useful for understanding institutional trading behavior and its impact on the market[1][13] 3. Model Name: Feature Volume Model - **Construction Idea**: This model uses specific volume characteristics to predict market trends[1][13] - **Construction Process**: The model analyzes specific volume patterns to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in identifying significant volume changes that precede market movements[1][13] 4. Model Name: Intelligent Algorithm CSI 300 Model - **Construction Idea**: This model uses intelligent algorithms to predict the CSI 300 index trends[1][13] - **Construction Process**: The model employs machine learning algorithms to analyze historical data and generate buy or sell signals for the CSI 300 index[1][13] - **Evaluation**: The model leverages advanced algorithms to improve prediction accuracy[1][13] 5. Model Name: Intelligent Algorithm CSI 500 Model - **Construction Idea**: This model uses intelligent algorithms to predict the CSI 500 index trends[1][13] - **Construction Process**: The model employs machine learning algorithms to analyze historical data and generate buy or sell signals for the CSI 500 index[1][13] - **Evaluation**: The model leverages advanced algorithms to improve prediction accuracy[1][13] 6. Model Name: Limit Up and Down Model - **Construction Idea**: This model uses the occurrence of limit up and down events to predict market trends[1][13] - **Construction Process**: The model analyzes the frequency and context of limit up and down events to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in capturing extreme market movements[1][13] 7. Model Name: Up and Down Return Difference Model - **Construction Idea**: This model uses the difference between upward and downward returns to predict market trends[1][13] - **Construction Process**: The model calculates the difference between upward and downward returns to generate buy or sell signals[1][13] - **Evaluation**: The model provides insights into market momentum and potential reversals[1][13] 8. Model Name: Calendar Effect Model - **Construction Idea**: This model uses calendar-based patterns to predict market trends[1][13] - **Construction Process**: The model analyzes historical data to identify recurring calendar-based patterns and generate buy or sell signals[1][13] - **Evaluation**: The model is useful for identifying seasonal trends in the market[1][13] 9. Model Name: Long-term Momentum Model - **Construction Idea**: This model uses long-term momentum to predict market trends[1][14] - **Construction Process**: The model analyzes long-term price momentum to generate buy or sell signals[1][14] - **Evaluation**: The model is effective in capturing long-term market trends[1][14] 10. Model Name: A-Share Comprehensive Weapon V3 Model - **Construction Idea**: This model combines multiple factors to predict market trends[1][15] - **Construction Process**: The model integrates various indicators and models to generate a comprehensive buy or sell signal[1][15] - **Evaluation**: The model provides a holistic view of the market by combining multiple factors[1][15] 11. Model Name: A-Share Comprehensive Guozheng 2000 Model - **Construction Idea**: This model combines multiple factors to predict the Guozheng 2000 index trends[1][15] - **Construction Process**: The model integrates various indicators and models to generate a comprehensive buy or sell signal for the Guozheng 2000 index[1][15] - **Evaluation**: The model provides a holistic view of the market by combining multiple factors[1][15] 12. Model Name: Turnover Rate Inverse Volatility Model - **Construction Idea**: This model uses the inverse relationship between turnover rate and volatility to predict market trends[1][16] - **Construction Process**: The model analyzes the turnover rate and its inverse relationship with volatility to generate buy or sell signals[1][16] - **Evaluation**: The model is effective in identifying periods of high market uncertainty[1][16] Model Backtesting Results 1. Volume Model - **Indicator Value**: All broad-based indices are bullish[1][13] 2. Feature Dragon Tiger List Institutional Model - **Indicator Value**: Bullish[1][13] 3. Feature Volume Model - **Indicator Value**: Bullish[1][13] 4. Intelligent Algorithm CSI 300 Model - **Indicator Value**: Bullish[1][13] 5. Intelligent Algorithm CSI 500 Model - **Indicator Value**: Bullish[1][13] 6. Limit Up and Down Model - **Indicator Value**: Bullish[1][13] 7. Up and Down Return Difference Model - **Indicator Value**: All broad-based indices are bullish[1][13] 8. Calendar Effect Model - **Indicator Value**: Neutral[1][13] 9. Long-term Momentum Model - **Indicator Value**: Some broad-based indices are bullish[1][14] 10. A-Share Comprehensive Weapon V3 Model - **Indicator Value**: Bullish[1][15] 11. A-Share Comprehensive Guozheng 2000 Model - **Indicator Value**: Bullish[1][15] 12. Turnover Rate Inverse Volatility Model - **Indicator Value**: Bearish[1][16]

Core Insights - The report maintains a positive outlook on the securities industry, highlighting a phase of profit growth, structural evolution, and valuation recovery for 2026 [1] Industry Performance Overview - The overall industry performance is expected to see significant growth in 2025, with a mismatch between valuation and performance [4] - From January to November 2025, the Securities II (Shenwan) index increased by 5.6%, underperforming the CSI 300, while the Hong Kong Chinese securities index rose by 42.7%, outperforming the Hang Seng index by 10.9 percentage points [6] - In the first three quarters of 2025, 42 listed securities firms reported a combined revenue and net profit increase of 43% and 62% year-on-year, respectively, with an annualized ROE increase of 2.5 percentage points to 7.3% [6] Business Review and Outlook - **Brokerage Business**: The brokerage business is expected to benefit from increased trading volumes, with significant revenue growth anticipated in 2025. However, a decline in commission rates may limit profitability in traditional channel businesses [8] - **Proprietary Trading**: The contribution of proprietary trading to industry performance has significantly increased, with differentiation among firms based on investment capabilities and equity positions. Leading firms are expected to see stable returns, while smaller firms may experience higher volatility [9] - **Asset Management**: The asset management sector is entering a recovery phase driven by public fund transformation, with expected revenue growth of 33% year-on-year in 2026 [10] - **Investment Banking**: The investment banking sector is anticipated to enter a recovery cycle in 2026, supported by improved market conditions and policy incentives [10] Investment Themes for 2026 - The securities sector is positioned as a cost-effective investment opportunity due to its low valuation and performance recovery phase. Key factors include a clear trend of asset allocation towards equities, a recovery in multiple business lines, and supportive policies [12] - Recommended focus on leading securities firms with stable ROE, such as CITIC Securities, Huatai Securities, and GF Securities, which are expected to achieve ROE of 10.1%, 9.4%, and 9.4% in 2026, respectively [12] - Attention should also be given to firms with distinctive asset management and investment banking capabilities, such as Industrial Securities and China International Capital Corporation, which are well-positioned to benefit from ongoing market trends [12] Policy Environment - The report outlines a clear policy direction for the securities industry, emphasizing a shift from scale expansion to functional positioning and high-quality development. This includes a focus on value competition and the optimization of risk control indicators for leading firms [30][32] - The regulatory framework is evolving to support differentiated capabilities and strategic positioning among firms, with an emphasis on enhancing professional services and internationalization [32][34]

证券日报网讯1月9日，广发证券在互动平台回答投资者提问时表示，截至目前，公司没有应披露而未披 露的信息。 ...

Group 1 - The company Xingsheng Environment announced that on January 9, 2026, it will accept research from Zhongou Fund and GF Securities, with participation from the company's director and board secretary Hu Han to address investor inquiries [1] Group 2 - More than 20 provinces have revealed their mechanism electricity prices, with Shanghai's prices being 84% higher than Shandong's and Zhejiang's prices being 31% higher than Liaoning's [1] - Experts suggest that there is still room for reduction in corporate electricity costs [1]

Core Viewpoint - The adjustment of the vehicle trade-in policy to a "proportional subsidy" will significantly benefit mid-to-high-end vehicles, with an estimated profit increase of 15.9 billion yuan for the passenger car industry in 2026 [1][2]. Group 1: Policy Changes and Impact - The new policy, effective from December 30, 2025, provides a subsidy of 12% for new energy vehicles and 10% for fuel vehicles, with maximum subsidies of 20,000 yuan and 15,000 yuan respectively for scrapping [1]. - The trade-in subsidy for purchasing new energy and fuel vehicles will be 8% and 6% respectively, with maximum subsidies of 15,000 yuan and 13,000 yuan [1]. - The adjustment in Chongqing shows that the sales proportion of vehicles priced above 200,000 yuan increased to 39.1% in November 2025, up by 6.3 percentage points from July 2025 [1]. Group 2: Profit Projections - The estimated profit increase of 15.9 billion yuan for the passenger car industry in 2026 is based on the assumption that domestic terminal sales will remain flat year-on-year [1]. - The theoretical profit space for different price segments is projected to grow as follows: 0 billion yuan for under 100,000 yuan, 0.3 billion yuan for 100,000-150,000 yuan, 0.7 billion yuan for 150,000-200,000 yuan, and 2.5 billion yuan for above 200,000 yuan [1]. - The total amount of trade-in subsidies is expected to decline by approximately 30 billion yuan in 2026, but the subsidies for vehicles priced above 150,000 yuan will increase by about 14 billion yuan [2]. Group 3: Investment Recommendations - Recommended stocks in the passenger vehicle chain include Geely Automobile, BYD, Chery Automobile, and others for right-side opportunities, while Great Wall Motors and Changan Automobile are suggested for left-side opportunities [3]. - Companies showing potential turning points include SAIC Motor [3]. - In the upstream and downstream chains, recommended stocks include Minth Group, Yinlun Machinery, and others for right-side opportunities, while Yongda Automobile and New Coordinates are suggested for left-side opportunities [3].

Core Viewpoint - The report from Open Source Securities indicates that GF Securities' placement of H-shares and issuance of convertible bonds will dilute total shares by 4% and H-shares by 19%, which is beneficial for international business in the medium to long term [1] Group 1 - The placement and issuance of convertible bonds will result in a 19% dilution of H-shares and a 4% dilution of total share capital [1] - The raised funds will be entirely used to increase capital for the company's overseas subsidiaries, supporting the development of international business [1] - Short-term pressure on stock prices, particularly in the Hong Kong market, is expected, but medium to long-term benefits for overseas business development and overall return on equity (ROE) are anticipated [1] Group 2 - The company’s fund management division holds a solid position in the industry and is expected to benefit from the beta of the cyclical fund market following a bull market [1] - The investment rating is maintained at "Buy" [1]

Core Viewpoint - Guotai Junan Securities has reported that GF Securities plans to raise over 6 billion HKD through H-share placement and issuance of zero-coupon convertible bonds, which will be fully used to increase capital for its overseas subsidiaries [1] Group 1: Fundraising and Capital Strengthening - The fundraising, if successful, will effectively strengthen the company's capital position [1] - The capital raised will support the company's international business expansion [1] - The company is expected to see improvements in operational performance and industry ranking as a result [1] Group 2: Asset Management and Ratings - The company's asset management business advantages remain solid [1] - The refinancing will enhance both capital and international business capabilities [1] - The firm maintains a "buy" rating for GF Securities' A-shares and H-shares [1]

Core Viewpoint - The adjustment of the vehicle trade-in policy to a "proportional subsidy" will significantly benefit mid-to-high-end vehicles, with an expected profit increase of 15.9 billion yuan for the passenger car industry in 2026 [1][2][3]. Group 1: Policy Changes and Impacts - The new policy, effective from December 30, 2025, includes a scrapping subsidy of 12% for new energy vehicles and 10% for fuel vehicles, with maximum subsidies of 20,000 yuan and 15,000 yuan respectively [1]. - The trade-in subsidy will provide 8% for new energy vehicles and 6% for fuel vehicles, with maximum subsidies of 15,000 yuan and 13,000 yuan respectively [1]. Group 2: Profit Projections - Based on data from Chongqing, the proportional subsidy is expected to increase the profit of the passenger car industry by 15.9 billion yuan in 2026, with profit growth in different price segments projected as follows: 0 yuan for under 100,000 yuan, 300 million yuan for 100,000-150,000 yuan, 2.9 billion yuan for 150,000-200,000 yuan, and 12.8 billion yuan for above 200,000 yuan [2][3]. - The total amount of trade-in subsidies is projected to decline by approximately 30 billion yuan in 2026, but the subsidy amount for vehicles priced above 150,000 yuan is expected to increase by about 14 billion yuan [3]. Group 3: Investment Recommendations - The report suggests focusing on various companies within the passenger vehicle supply chain, including Geely, BYD, Chery, and others as potential investment opportunities [4]. - Companies positioned for growth include SAIC Motor, while others like Great Wall Motors and Changan Automobile are identified as left-side targets [4].