2、股票型ETF涨跌幅排行 昨日股票型ETF涨幅最高的3只ETF及其收益率分别为：华夏国证航天航空行业ETF（5.01%）、天弘国 证航天航空行业ETF（4.66%）、万家国证航天航空行业ETF（4.64%）。涨幅前10详情见下表： | 美别 | 代码 | 基金名称 | 涨跌幅(%) | | --- | --- | --- | --- | | 股票型 | 159227.SZ | 华夏国证航天航空行业ETF | 5.01% | | 股票型 | 159241.SZ | 天弘国证航天航空行业ETF | 4.66% | | 股票型 | 159208.SZ | 万家国证航天航空行业ETF | 4.64% | | 股票型 | 159725.SZ | 工银瑞信中证线上消费主题ETF | 4.5% | | 股票型 | 159267.SZ | 华安国证航天航空行业ETF | 4.44% | | 股票型 | 517770.SH | 浦银安盛中证沪港深游戏及文化传媒ETF | 4.3% | | 股票型 | 561660.SII | 平安中证通用航空主题ETF | 4.28% | | 股票型 | 159218.SZ | 招商中证卫星 ...

Market Performance - The Shanghai Composite Index fell by 3.9% last week, closing at 3834.89 points, with a high of 3992.4 points [1] - The Shenzhen Component Index decreased by 5.13%, ending at 12538.07 points, with a peak of 13251.78 points [1] - The ChiNext Index dropped by 6.15%, closing at 2920.08 points, with a maximum of 3137.07 points [1] - Major global indices also declined, with the Nasdaq Composite down 2.74%, the Dow Jones Industrial Average down 1.91%, and the S&P 500 down 1.95% [1] - In the Asia-Pacific region, the Hang Seng Index fell by 5.09%, and the Nikkei 225 Index decreased by 3.48% [1] ETF Market Performance - The median weekly return for stock ETFs was -4.56% [2] - The highest weekly return among scale index ETFs was -2.17% for the CCB SSE 50 ETF [2] - The highest weekly return among industry index ETFs was -0.8% for the FTSE China 800 Bank ETF [2] - The highest weekly return among strategy index ETFs was -1.32% for the Harvest CSI 300 Dividend Low Volatility ETF [2] - The highest weekly return among theme index ETFs was -0.15% for the Penghua CSI Media ETF [2] ETF Liquidity and Fund Flows - Average daily trading volume for stock ETFs increased by 32.1%, and average daily turnover rose by 6.8% [6] - The top five stock ETFs with the highest fund inflows included the Huatai-PB CSI 300 ETF with an inflow of 3.876 billion yuan [8] - The top five stock ETFs with the highest fund outflows included the Hua Bao CSI Bank ETF with an outflow of 321 million yuan [8] Financing and Margin Trading - The financing balance for stock ETFs increased from 47.722 billion yuan to 50.553 billion yuan [9] - The highest financing buy amount was for the E Fund ChiNext ETF, totaling 801 million yuan [9] ETF Market Size and Composition - The total size of the ETF market reached 55,994.97 billion yuan, a decrease of 1,305.99 billion yuan from the previous week [13] - Stock ETFs accounted for 64.0% of the total ETF market size, with a total size of 35,817.94 billion yuan [15] - The number of stock ETFs in the market was 1,065 out of a total of 1,355 ETFs [10] New ETF Issuance - No new ETFs were issued last week, but eight new ETFs were established, including the Harvest Hang Seng Technology ETF and the Penghua Hang Seng Biotechnology ETF [16] Institutional Insights - Pacific Securities highlighted the importance of advancements in AI foundational model technology, particularly in e-commerce and advertising sectors [16] - Galaxy Securities noted the potential of AI video and social ecosystems, emphasizing the shift towards ecological construction and scene penetration in various industries [17]

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].

Core Insights - The Hong Kong stock market is experiencing adjustments, with funds flowing into technology and innovative pharmaceutical ETFs, while A-share broad index ETFs are facing net outflows [1][3] - There is a notable trend of "high cutting low" in fund allocation, indicating a preference for defensive sectors like financials and dividend-related ETFs [3][4] Market Performance - Last week, the A-share market exhibited a structural trend, with significant gains in photovoltaic, power grid equipment, and new energy-related ETFs, many of which rose over 5%, and some exceeding 10% [1][2] - The total net inflow for ETFs across the market was approximately 240 billion, with over 70 billion net inflow into ETFs tracking the Hang Seng Technology Index [3] Sector Analysis - The photovoltaic industry is showing signs of recovery, with upstream segments expected to significantly reduce losses in Q3, while the energy storage sector is experiencing strong supply and demand dynamics [2] - Defensive assets in the Hong Kong market, particularly dividend-related ETFs, are gaining strength amid adjustments in the pharmaceutical and technology sectors [2][3] Future Outlook - The structural recovery trend is expected to continue into November, supported by clearer policies and economic resilience, with a focus on high-quality development and long-term construction goals [4] - Key sectors such as solid-state batteries, AI, and humanoid robots are anticipated to drive future market performance, with solid-state battery production and AI profitability being critical catalysts [4][5]

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]

Group 1: Report Overview - The report focuses on the construction methods and performance of various ETF portfolios in November 2025, including macro-based, macro + momentum, core - satellite, and trinity style rotation portfolios [2] Group 2: ETF Portfolio Construction Methods Based on Macro Approach - Calculate macro - sensitivity of indices tracked by broad - based, industry - themed, and Smart Beta ETFs according to economic, liquidity, and credit variables, and select ETFs monthly. Also consider adding momentum indicators. Traditional cyclical industries are suitable for economic up - periods, TMT for weak - economic but liquid - abundant times, and consumption benefits from credit expansion. Three ETF portfolios are constructed and rebalanced monthly [5] Trinity Style Rotation - Build a mid - to long - term style rotation model centered on macro - liquidity, compared with the CSI 300 index. Combine three models (growth/value, market - cap, and quality) to get 8 style preference results, then screen target - style - exposed ETFs with controlled industry exposure and set allocation limits [6] Group 3: Macro Industry Portfolio - Select industry - themed ETFs with over 1 - year establishment and over 200 million current scale. Calculate sensitivity scores, adjust according to economic, liquidity, and credit indicators, and select the top 6 industry - themed indices. Currently, with economic indicators rising and liquidity/credit tightening, the portfolio turns to value with high bank and cyclical proportions. November holdings are mainly bank and energy - related ETFs, each with a 16.67% weight. The portfolio has large fluctuations and was close to the CSI 300 in October [7][9][11] Group 4: Macro + Momentum Industry Portfolio - Combine macro and momentum methods to address the left - side bias of macro - based strategies. Use clustering to select one product with the highest 6 - month gain from each of 6 industry - themed groups. The portfolio includes many pro - cyclical industries. November holdings have multiple ETFs, with weights like 16.67% for some and 8.33% for others. The portfolio performed well this year and was close to the CSI 300 in October [12][14][15] Group 5: Core - Satellite Portfolio - Designed to address the high volatility and fast industry rotation of industry - themed ETFs. Use the CSI 300 as the core. Construct three sub - portfolios (broad - based, industry, and Smart Beta) and combine them at 50%, 30%, and 20% respectively. November holdings are mainly mid - to large - cap biased. The portfolio performed steadily this year, outperforming the index almost every month, including in October [16][17][21] Group 6: Trinity Style Rotation ETF Portfolio - The model favors small - cap growth + high - quality segments this period. The portfolio's factor exposure and historical performance are provided. November holdings include ETFs such as Southern CSI 500 ETF and Southern CSI 1000 ETF. The portfolio had significant fluctuations in monthly returns and outperformed the index in most months this year, including in October [22][23][26]

Market Overview - The Shanghai Composite Index fell by 1.47% to 3839.76 points, with a weekly high of 3931.05 points [1] - The Shenzhen Component Index decreased by 4.99% to 12688.94 points, reaching a high of 13405.51 points [1] - The ChiNext Index dropped by 5.71% to 2935.37 points, with a peak of 3124.83 points [1] - In global markets, the Nasdaq Composite rose by 2.14%, the Dow Jones Industrial Average increased by 1.56%, and the S&P 500 gained 1.7% [1] - In the Asia-Pacific region, the Hang Seng Index fell by 3.97%, and the Nikkei 225 decreased by 1.05% [1] ETF Market Performance - The median weekly return for stock ETFs was -4.14% [2] - The highest weekly return among scale index ETFs was 0.28% for the China Asset Management SSE 50 ETF [2] - The highest weekly return among industry index ETFs was 5.26% for the Huabao CSI Bank ETF [2] - The top five stock ETFs by weekly return included multiple bank-focused ETFs, with the Huabao CSI Bank ETF leading at 5.26% [3][5] ETF Liquidity - Average daily trading volume for stock ETFs decreased by 11.7%, while average daily trading volume increased by 17.3% [6] ETF Fund Flows - The top five stock ETFs by fund inflow included the Huabao CSI Bank ETF with an inflow of 1.186 billion yuan [9] - The top five stock ETFs by fund outflow included the Penghua CSI Subdivision Chemical Industry Theme ETF with an outflow of 771 million yuan [10] ETF Financing and Margin Trading - The financing balance for stock ETFs decreased from 47.3024 billion yuan to 46.9206 billion yuan [11] - The highest financing buy amount was for the Huaxia SSE Sci-Tech Innovation Board 50 ETF, totaling 705 million yuan [11] ETF Market Size - The total market size for ETFs reached 55,239.08 billion yuan, a decrease of 851.69 billion yuan from the previous week [14] - Stock ETFs accounted for 36,092.2 billion yuan, representing the largest category within the ETF market [14][16] ETF Issuance and Establishment - No new ETFs were issued last week, but one new ETF, the GF CSI Satellite Industry ETF, was established [17] Institutional Insights - CITIC Securities expects stable performance in bank Q3 reports, with a positive trend in interest margins and stable non-performing loan generation [17] - Haitong Securities notes that the bank sector is relatively insulated from external shocks, presenting a potential opportunity for allocation [17]

Group 1 - The report indicates that the current market sentiment is relatively high, making it sensitive to negative factors, and the speed of domestic capital inflow may slow down due to year-end profit-taking mentality [4][12][14] - The A-share market is expected to experience a "spring rally" starting as early as December, with the potential for a "bull market rally" also existing [4][30][36] - The report emphasizes that there is only style rotation in the market, not a style switch, and the current adjustments in the technology growth style are seen as healthy rather than a signal for a style change [4][29][30] Group 2 - The report highlights that the consumer goods and certain cyclical sectors are currently showing favorable performance expectations and reasonable valuation levels, with industries such as personal care, cosmetics, medical services, and beverages being particularly noteworthy [4][36] - The dividend sector is expected to become a safe haven for funds amid weak market sentiment, with a focus on banks, coal, electricity, and transportation sectors [4][36][42] - The upcoming 20th Central Committee's Fourth Plenary Session is anticipated to clarify major policies, which may lead to increased market activity and focus on sectors aligned with the "15th Five-Year Plan" [4][47]

Group 1 - The core viewpoint of the article highlights a significant inflow of nearly 90 billion yuan into the market through ETFs in the five trading days following the holiday, indicating strong investor interest despite market adjustments [1] - The total net inflow of ETFs from October 9 to October 15 reached 87.87 billion yuan, with stock ETFs and cross-border ETFs being the primary contributors [1][2] - The stock ETFs showed a bifurcated trend, with a net inflow of 68.95 billion yuan while bond ETFs experienced a net outflow of 17.79 billion yuan during the same period [1][2] Group 2 - Within stock ETFs, there is a preference for technology growth and dividend defensive strategies, characterized as a "dumbbell" approach, with the top performer being the Jiashi Shanghai Stock Exchange Science and Technology Innovation Board Chip ETF, which saw a net inflow of 4.06 billion yuan [2] - In the cross-border ETF segment, funds are primarily flowing into the Hong Kong stock market, particularly in technology and internet sectors, with the Hang Seng Technology Theme ETF capturing six of the top ten inflows [2] - Leveraged funds are also accelerating their entry into the stock ETF market, with net purchases exceeding 100 billion yuan in the five trading days following October 9 [2] Group 3 - Looking ahead, the market outlook suggests that dividend assets and gold may provide protection during periods of declining risk appetite, while AI is expected to present active opportunities in the medium to long term [3] - The A-share market is likely to remain in an upward cycle, driven by multiple factors including performance, liquidity, and policy support, with a continued emphasis on technology innovation [3]

Core Viewpoint - Following the holiday, there is a shift in funds towards dividend assets due to "high cut low" demand, adjustments in the tech sector, and the calendar effect in Q4, leading to a concentration of purchase limits on several dividend funds [1] Group 1: Dividend Fund Purchase Limits - Multiple dividend funds have recently announced purchase limits, with Manulife Fund stating that from October 17, single accounts cannot exceed 1 million yuan in purchases [2] - Similarly, Jianxin Fund has set a limit of 10 million yuan for its dividend-focused fund, while other funds have varying limits ranging from 10 million to 250,000 yuan [2] - The frequent implementation of purchase limits is attributed to the need to protect existing fund holders and ensure stable fund operations [2] Group 2: Increased Demand for Dividend Assets - Recent data indicates a rising preference for dividend assets, with the net subscription of Huabao CSI Bank ETF reaching 4.9 billion units, the highest among all ETFs [3] - The Huatai-PB CSI Dividend Low Volatility ETF also saw a significant increase in net subscriptions, totaling 1.88 billion units in October compared to only 390 million units in September [3] Group 3: Defensive Investment Strategies - In light of global trade uncertainties, there is a heightened demand for defensive asset allocations, benefiting large financial and dividend assets [4] - Analysts suggest that dividend assets have returned to relatively low levels, and with upcoming quarterly reports and potential dividend distributions, these assets may drive A-share market growth [4] - A fund manager indicated a consensus in the industry that Q4 will see a "high cut low" strategy, with a shift from tech stocks to financial technology sectors, which are expected to offer better investment value and certainty [4] Group 4: Investment Strategies in Low-Interest Environments - In a low-interest-rate environment, a "barbell strategy" combining high-dividend assets with high-valuation tech growth remains effective in Q4 [5] - The attractiveness of dividend assets, particularly for institutional investors like insurance funds, has significantly increased following the tech growth phase [5]