证 券 研 究 报 告 金融地产行业基金：从投资能力分析到基金经理画像 ——金融产品每周见20260306 | 证券分析师：奚佳诚 | | A0230523070004 | | | --- | --- | --- | --- | | 蒋辛 | | A0230521080002 | | | 邓虎 | | A0230520070003 | | | 联系人： | 奚佳诚 | A0230523070004 | xijc@swsresearch.com | | 2026.3.6 | | | | 投资要点 www.swsresearch.com 证券研究报告 2 ◼ 基于基金持仓，我们可以将金融地产行业基金分类为3类：1）金融地产+卫星；2）细分赛道：以大金融为主；3）板块轮动。大部分基金 经理采用的策略为"细分赛道" ，采用"金融地产+卫星"、"板块轮动"策略的基金经理较少。 ◼ 金融地产行业基金的3大整体投资能力分析：1）与板块指数相比，金融地产行业基金表现略弱，与金融地产内部本身分化度较低有关；2） 相对擅长选股的行业：银行、非银金融；相对不擅长的行业：房地产；3）对比与全行业基金所选的金融地产股，金融地产行业基金 ...

Group 1 - The A-share market has shown a structural trend since the beginning of 2026, with thematic ETFs gaining popularity due to their precise sector positioning and efficiency, resulting in a net inflow of 9.519 billion yuan and an average net value growth rate of 6.6% as of January 11 [1] - Leading products in niche sectors have performed exceptionally well, with eight ETFs, including Huaxia CSI Nonferrous Metals Industry ETF and E Fund CSI 300 Non-Bank ETF, each seeing net inflows exceeding 1 billion yuan within the month [2] - The strong performance of thematic ETFs reflects a market focus on technology innovation and high-end manufacturing, with 99 products achieving net value growth rates exceeding 10% in January [2] Group 2 - The impressive performance of thematic ETFs is attributed to the public fund industry's ongoing deepening and refinement of product layouts, moving away from homogeneous competition to focus on differentiated niche themes [3] - New product launches, such as Yongying Fund's Industrial Software Theme ETF and E Fund's CSI All-Index Food ETF, demonstrate the trend of targeting specific segments within broader industries, enhancing the product spectrum [3] - The competitive landscape has shifted, with leading institutions and smaller public funds adjusting strategies to create "blockbuster products" in niche areas, as evidenced by the rapid scale growth of E Fund's AI Theme ETF [3][4]

Summary of Key Points Core Viewpoint - On December 1, the industry-themed ETF funds experienced a net outflow of 2.217 billion yuan, with a cumulative net outflow of 21.43 billion yuan over the past five trading days, indicating a trend of capital withdrawal from these funds [1]. Fund Performance - A total of 66 industry-themed ETFs saw net inflows on December 1, with the Huabao Securities ETF (512000) leading the inflow, increasing by 330 million shares and a net inflow of 186 million yuan [1][3]. - Conversely, 141 industry-themed ETFs experienced net outflows, with the Guotai Zhongzheng All-Index Securities Company ETF (512880) having the largest outflow, decreasing by 501 million shares and a net outflow of 592 million yuan [1][4]. Top ETFs by Net Inflow - The top ETFs by net inflow on December 1 included: - Huabao Securities ETF (512000): 1.86 billion yuan net inflow, 701.77 million shares [3]. - Guotai Zhongzheng All-Index Communication Equipment ETF (515880): 1.72 billion yuan net inflow, 42.93 million shares [3]. - Other notable inflows included the China Merchants Zhongzheng Battery Theme ETF (561910) and the Southern Zhongzheng Shenwan Nonferrous Metals ETF (512400) [3]. Top ETFs by Net Outflow - The top ETFs by net outflow on December 1 included: - Guotai Zhongzheng All-Index Securities Company ETF (512880): 5.92 billion yuan net outflow, 499.03 million shares [4][5]. - Huabao Zhongzheng Bank ETF (512800): 4.35 billion yuan net outflow, 213.76 million shares [5]. - Other significant outflows were seen in the Guolian An Zhongzheng Semiconductor ETF (512480) and the Yongying Zhongzheng Hong Kong Gold Industry ETF (517520) [5].

Market Performance - On November 24, the three major A-share indices closed higher, with the Shanghai Composite Index rising by 0.05% to 3836.77 points, the Shenzhen Component Index increasing by 0.37% to 12585.08 points, and the ChiNext Index up by 0.31% to 2929.04 points [1]. Fund Manager Changes - In the past 30 days (October 25 to November 24), a total of 644 fund managers have left their positions across various funds. On November 24 alone, 72 funds announced changes in their fund managers [3]. - The reasons for the changes include 15 fund managers leaving due to job changes from managing 40 funds, 6 due to product expiration from managing 9 funds, and 3 for personal reasons from managing 23 funds [3]. Fund Manager Performance - Lu Yushan from Southern Fund currently manages assets totaling 1.109 billion yuan, with the highest return of 147.82% achieved in the Southern Reform Opportunity fund over 6 years and 305 days [5]. - Yu Haiyan from E Fund manages assets of 440.629 billion yuan, with the highest return of 155.84% from the E Fund CSI 300 Non-Bank ETF over 11 years and 154 days [5]. Fund Research Activity - In the past month, the most active fund company in conducting company research was Chuangjin Hexin Fund, which researched 214 listed companies. Other active fund companies included Bosera Fund, Huaxia Fund, and Ping An Fund, researching 117, 113, and 112 companies respectively [7]. - The medical device industry was the most researched sector, with 639 instances of research, followed by the chemical products industry with 502 instances [7]. Recent Company Focus - The most researched company in the last month was Luxshare Precision, with 76 fund management companies participating in the research. Other notable companies included Lens Technology and Ninebot, with 74 and 72 fund management companies involved respectively [8]. - In the past week (November 17 to November 24), Ninebot was the most researched company, receiving attention from 47 fund institutions, followed by Lens Technology, Rongbai Technology, and Boying Special Welding [9].

Group 1 - The report aims to track large purchases and net active purchases through transaction detail data, building relevant indicators [1] - The top five industries for large purchases in the last five trading days are: Banking, Real Estate, Steel, Comprehensive, and Textile & Apparel [2] - The top five industries for net active purchases in the last five trading days are: Banking, Transportation, Pharmaceuticals, Real Estate, and Oil & Petrochemicals [2] Group 2 - The top five ETFs for large purchases in the last five trading days are: Guotai CSI A500 ETF, Guotai SSE 10-Year Treasury ETF, Harvest S&P Oil & Gas Exploration and Production Selected Industry ETF, Southern Growth Enterprise Board AI ETF, and Hai Futong SSE Urban Investment Bond ETF [2] - The top five ETFs for net active purchases in the last five trading days are: Guotai SSE 10-Year Treasury ETF, E Fund CSI 300 Non-Bank ETF, Yinhua SSE Sci-Tech Innovation Board 100 ETF, Huabao CSI Nonferrous Metals ETF, and Penghua CSI Liquor ETF [2]

Core Viewpoint - The article discusses the effectiveness of grid trading strategies in the context of high volatility and potential high returns in the A-share market, particularly focusing on the securities sector as an ideal application for such strategies [1][12]. Group 1: Market Conditions and Strategy Suitability - The A-share market is experiencing increased volatility as the Shanghai Composite Index approaches the 4000-point mark, creating a challenging investment environment characterized by both high volatility and high returns [1]. - Grid trading strategies, which emphasize disciplined "buy low, sell high" operations, are well-suited for navigating this volatility, particularly in the securities sector, which is highly sensitive to market liquidity and policy changes [1][2]. Group 2: Product Characteristics and Execution Efficiency - The success of grid trading relies on selecting trading targets that exhibit moderate volatility, ample liquidity, and reasonable valuations. The E Fund Hong Kong Securities ETF (513090) and the E Fund CSI 300 Non-Bank ETF (512070) are highlighted as ideal choices due to their unique product advantages [1][3]. - The Hong Kong Securities ETF has an annualized daily volatility of 32.5%, significantly higher than other thematic ETFs, making it suitable for the "high buy low sell" operations of grid strategies [2]. - The E Fund CSI 300 Non-Bank ETF provides a diversified exposure to the non-bank financial sector, reducing individual stock volatility risk and featuring low trading fees, which aligns with the cost control needs of high-frequency trading [3]. Group 3: Performance and Strategy Optimization - Backtesting data from August 1, 2025, to November 7, 2025, shows that the grid trading strategy for the Hong Kong Securities ETF achieved a cumulative return of 4.63%, outperforming a -0.77% return from a traditional buy-and-hold strategy during the same period [9]. - The grid strategy's ability to convert negative returns into positive ones is demonstrated through multiple successful trades during market fluctuations, highlighting its effectiveness in volatile conditions [9][11]. - Compared to other investment strategies, the grid strategy yielded a positive return of 11.50% during a similar volatile market period, showcasing its superior performance in translating volatility into profit [11]. Group 4: Investment Recommendations - In the current market environment characterized by increased volatility around the 4000-point level, the securities sector is positioned as an attractive area for grid trading strategies due to its low valuations, high elasticity, and improving performance [12]. - Investors are encouraged to leverage high-quality ETF tools and scientifically set strategies to capture investment opportunities in the securities sector during this volatile market phase [12].

Group 1 - As of November 12, five ETFs in the market have seen net inflows exceeding 2 billion yuan, including Yinhua Rili A, Huaan Gold ETF, Huaxia Shanghai Stock Exchange Sci-Tech Innovation Board 50 ETF, E Fund ChiNext ETF, and E Fund CSI 300 Non-Bank ETF [1] - Recently, the trading of Sci-Tech bond theme ETFs has been active, with four of the top ten ETFs by single-day trading volume on November 12 being Sci-Tech bond theme ETFs, namely Guotai Sci-Tech Bond ETF (551800), CMB Sci-Tech Bond ETF (551900), Huatai-PB Sci-Tech Bond ETF (551520), and Southern Sci-Tech Bond ETF (159700) [1] - The Shanghai Securities Exchange International Investor Conference opened in Shanghai on November 12, where the Vice Chairman of the China Securities Regulatory Commission, Li Ming, stated that the door to China's capital market will continue to open wider, emphasizing a market-oriented, legal, and international approach to steadily expand high-level institutional openness [1]

Core Insights - The report suggests increasing allocation to large-cap value stocks while focusing on TMT (Technology, Media, and Telecommunications) and cyclical sectors [3][30] - The industry rotation model has been optimized to adapt to market conditions, incorporating high-frequency factors and enhancing the strategy's effectiveness [4][26] - The latest industry rotation model identifies non-bank financials, steel, media, non-ferrous metals, environmental protection, and telecommunications as preferred sectors [30][33] Market Review and Fund Flow Tracking - As of October 31, 2025, the total monthly trading volume of A-shares reached 36.78 trillion yuan, with a slight decrease in daily average trading volume by 10.49% compared to the previous month [12][18] - The average stock return dispersion for the past month was 2.41%, indicating a slight decline but remaining above the median level for the past six months [12][18] - The industry rotation speed has continued to expand, significantly exceeding the average level since 2015 [12][18] Industry Rotation Model and ETF Fund Configuration - The report emphasizes the importance of focusing on large-cap value and cyclical sectors, particularly in the context of the current unclear market leadership [3][30] - The recommended ETF portfolio includes six funds: E Fund CSI 300 Non-Bank ETF, Guotai Junan CSI Steel ETF, GF CSI Media ETF, Southern CSI Non-Ferrous Metals ETF, Southern Yangtze River Protection Theme ETF, and Guotai Junan CSI All-Share Communication Equipment ETF [3][34] - The model's historical performance has shown consistent positive excess returns, outperforming major benchmark indices [5][42] Historical Performance and Model Effectiveness - The industry rotation model has maintained a strong performance over the years, achieving excess returns compared to industry averages, with a notable performance in 2025 [5][42] - The model's win rates over the past 1, 3, and 5 years are 83.33%, 69.44%, and 71.67% respectively, indicating its robustness [43][44] - The report highlights the significance of emotional and price-volume factors in capturing market dynamics, especially in weak market conditions [42][43]

Investment Rating - The report indicates a marginal increase in investment in the TMT (Technology, Media, and Telecommunications) sector, with specific recommendations for non-bank financials, communications, real estate, building materials, media, and banks [1]. Core Insights - The industry rotation model is driven by three main dimensions: fundamentals, price-volume, and sentiment, aiming to capture market microstructure and industry opportunities. The model has been backtested bi-weekly and expanded to include factors such as momentum, trends, capital flow, sentiment, market structure, and volatility [1]. - The sentiment score for the real estate sector has significantly improved, increasing by 0.98, while the media sector's price-volume factors have seen a notable increase of 3.24 [1]. Summary by Sections Industry Recommendations - The recommended ETFs include: - E Fund CSI 300 Non-Bank ETF - Guotai CSI All-Index Communication Equipment ETF - Southern CSI All-Index Real Estate ETF - Guotai CSI All-Index Building Materials ETF - GF CSI Media ETF - Huabao CSI Bank ETF [3]. Performance Metrics - The industry rotation strategy has increased by 0.25% over the past two weeks, with an excess return of 0.64% compared to an equal-weighted industry benchmark. Year-to-date, the strategy has risen by 34.89%, with a Sharpe ratio of 1.77 and a Calmar ratio of 2.88 [4][6].

Report Summary 1. Report Industry Investment Rating - Not mentioned in the provided content 2. Core View of the Report - As of October 26, 2025, the model recommends non-bank finance, communication, real estate, building materials, media, and banking, with marginal increases in media and real estate investments [1] - The non-bank finance, communication, and real estate sectors are mainly driven by fundamentals, building materials and media are mainly influenced by sentiment, and banking is driven by both quantitative and fundamental factors [1] - The industry rotation model analyzes the market from three dimensions: fundamentals, volume-price, and sentiment, aiming to capture industry opportunities [1] 3. Summary by Relevant Catalogs Industry Rotation Model - The model backtests original factors on a bi-weekly basis and expands volume-price factors from dimensions such as momentum and trend, capital flow and sentiment, and market structure and volatility [1] - Six relatively effective factors are selected to construct the industry rotation strategy [1] Industry ETF Portfolio - The current industry ETF portfolio includes six ETFs: E Fund CSI 300 Non-Bank Finance ETF, Guotai CSI All-Index Communication Equipment ETF, Southern CSI All-Index Real Estate ETF, Guotai CSI All-Index Building Materials ETF, GF CSI Media ETF, and Huabao CSI Bank ETF [3] Performance of the Industry Rotation Strategy - In the past two weeks, the strategy rose 0.25%, with an excess return of 0.64% compared to the industry equal-weighted index [4][6] - Since the beginning of the year, the strategy has risen 34.89%, with a Sharpe ratio of 1.77 and a Calmar ratio of 2.88 in the past year [4] Strategy/Composite Factor Backtesting Results - Different factors have different IC means, IC standard deviations, ICIRs, frequencies of IC>0, and p-Values. For example, the成交均价因子 has an IC mean of 6.19%, an IC standard deviation of 27.11%, and an ICIR of 22.83% [10]