后非瘟时代，随着行业逐步向优势产能集中、产能去化放缓、猪价波动幅度趋弱，周期逐步弱化，生猪 养殖业进入微利时代。同时，防疫水平抬升及养殖效率优化共同驱动全行业成本中枢下移，但现阶段不 同养殖主体之间成本方差较大，单公斤成本能拉开2元/千克甚至更高的差距，具备成本优势和疫病防控 优势的规模养殖主体仍有望获取超额利润并实现盈利累积。 看得见的手如何引导行业变化? 年初以来猪价长期在成本线以上运行，产业整体保持着较好盈利。能繁母猪产能自2025年4月开始高位 回升，截止5月底，我国能繁母猪存栏约4042万头，高于正常保有量3900万头的基准线。2025年年中以 来，农业农村部、发改委等相关部门采取多种措施引导产能调控，促进生猪养殖业高质量发展——通过 引导降重、限制二育销售等方式调整短期生猪供应;严控新增产能，引导能繁调减100万头左右至3950万 头，预计2026年的生猪供需格局亦将显著改善;长期看，则通过环保政策、融资渠道收紧等多种方式引 导能繁母猪降至合理水平。 招商证券主要观点如下： 政策端的变与不变：民生导向&高质量发展并重 过往十多年来，在环保政策执行及非瘟大考下，生猪养殖业低效产能加速退出，行业养殖效 ...

Core Viewpoint - Meta's Q2 performance exceeded expectations with a revenue of $47.5 billion, a year-on-year increase of 22%, and an operating profit of $20.4 billion, surpassing forecasts by 19% [1] Group 1: Financial Performance - Revenue for Q2 reached $47.5 billion, representing a 22% year-on-year growth and exceeding expectations by 6% [1] - Operating profit was reported at $20.4 billion, which is 19% above market expectations [1] Group 2: Growth Drivers - The strong growth was primarily driven by advertising revenue from the Family of Apps [1] - Daily active users increased by 6% year-on-year, reaching 3.48 billion [1] - Ad impressions grew by 11% year-on-year, while the average price per ad rose by 9% [1] Group 3: Analyst Recommendations - The company is the top pick in the industry according to the report, with the target price raised from $759 to $866 [1] - The acceleration in growth confirms the sustained robust growth in user and advertising revenue driven by AI, alleviating concerns over capital expenditures [1] - The rating for Meta is "Buy" [1]

Core Viewpoint - Meta's Q2 performance exceeded expectations with a revenue of $47.5 billion, representing a 22% year-over-year increase, and an operating profit of $20.4 billion, surpassing forecasts by 19% [1] Group 1: Financial Performance - Revenue for Q2 reached $47.5 billion, exceeding expectations by 6% [1] - Operating profit was $20.4 billion, which was 19% above forecasts [1] Group 2: Growth Drivers - Strong growth was primarily driven by advertising revenue from the Family of Apps [1] - Daily active users increased by 6% year-over-year to 3.48 billion [1] - Ad impressions rose by 11% year-over-year, while the average price per ad increased by 9% [1] Group 3: Analyst Recommendations - The company is the top pick in the industry according to the report [1] - Target price has been raised from $759 to $866, indicating a positive outlook [1] - The rating is "Buy," reflecting confidence in sustained growth driven by AI [1]

招商证券国际发表研究报告指，亚马逊第二季度业绩表现强劲，净销售额按年增长13%，经营利润增长 31%，净利润增长35%，均超出市场预期。期内AWS按年增长17%，增速与首季相若，略逊于微软 Azure及谷歌Google Cloud的39%及32%增长。该行指，亚马逊第三季度收入指引胜预期，经营利润指引 中位数略低于预期，可能反映宏观环境及关税因素影响，维持"买入"评级，将目标价上调至271美元， 看好其受惠AI发展、关税能见度改善及AWS增长潜力，预期产能限制问题可逐步缓解。 ...

Core Points - Guangdong Provincial Institute of Architectural Science Group Co., Ltd. has received approval for its initial public offering (IPO) of A-shares on the ChiNext board, with a total issuance of 10,466,000 shares priced at RMB 6.56 per share [1][2] Issuance Structure - The issuance will be conducted through a combination of strategic placement, offline inquiry placement, and online public offering [1] - The initial strategic placement quantity is set at 31,398,000 shares, accounting for 30% of the total issuance [2] - The offline issuance will consist of 58,610,000 shares (80% of the remaining shares after strategic placement), while the online issuance will consist of 14,652,000 shares (20% of the remaining shares) [2] Subscription and Payment Process - Investors must fulfill their payment obligations by August 5, 2025 (T+2), with specific instructions for both offline and online investors regarding payment and subscription [3] - Any failure to pay the required subscription amount will result in the cancellation of the allocation for that investor [3][4] Lock-up Periods - For offline investors, 10% of the allocated shares will have a lock-up period of 6 months, while 90% will be tradable immediately upon listing [5] - Strategic placement investors will face a 12-month lock-up period for their allocated shares [5] Subscription Statistics - The online offering received a total of 12,316,902 valid subscription accounts, with a total of 124,352,408,500 shares applied for, resulting in a subscription multiple of 8,487.06 times [7][8] - The final online issuance quantity after the implementation of the allocation mechanism will be 29,304,500 shares, with a final winning rate of 0.0236% [8] Lottery Draw - The lottery draw for the online subscription will take place on August 4, 2025, with results announced on August 5, 2025 [9]

Group 1 - The core viewpoint is that market trends dictate the behavior of dominant funds, which in turn influences the structure and model of rising industries, with a historical tendency for concentrated leading industries rather than high-cut low-rotation [2] - Recent market performance has shown a gradual focus on trend-based sectors such as AI, innovative pharmaceuticals, resources, and technology innovation board [2] - The market is expected to experience a cooling period as incremental liquidity slows down, which is necessary for stable long-term growth [2] Group 2 - In July, market risk appetite continued to recover, but high-dividend sectors were dragged down by banks, leading to a mixed performance within major indices [3] - Some stable and potential high-dividend stocks have become attractive due to their current yield, indicating a gradual emergence of configuration value [3] - The focus for August is on cyclical high-dividend stocks that are expected to perform well due to improved supply-demand structures [3] Group 3 - The market is currently undergoing a short-term adjustment after a previous breakout, with a need to refocus on main lines as the market stabilizes [4] - The adjustment phase is expected to digest economic growth rate expectations and policy shifts aimed at structural adjustments [4] Group 4 - The market is anticipated to return to a volatile state in August, with potential upward movements before the September 3 military parade [5] - Key sectors to watch include AI, robotics, and advanced manufacturing, which are expected to lead the market back to a strong mid-term position [5] Group 5 - The core logic supporting the current market trend remains intact despite recent fluctuations, with several potential catalysts on the horizon [6] - Upcoming events such as the release of GPT-5 and the September 3 military parade are expected to positively influence market sentiment [6] Group 6 - The overall bullish logic driven by liquidity remains unbroken, with expectations for the market to maintain strength in August [7] - The recommended sector focus includes undervalued large-cap tech growth, innovative pharmaceuticals, and global pricing resources [7] Group 7 - The market is expected to exhibit a rotation and supplementary rise, with particular attention on machinery and electrical equipment sectors [8] - Long-term focus areas include consumption, technological independence, and high-quality dividend stocks [8] Group 8 - The likelihood of A-shares reaching new highs in August is considered high, with a potential upward trend resuming after mid-August [9][10] - The market is expected to benefit from improved free cash flow and continued inflow of external capital [10] Group 9 - The market is currently in a phase of adjustment but remains on an upward trend, with support from various technical indicators [13] - Recommended sector allocation includes a balanced approach focusing on financials and technology growth sectors [13]

Investment Rating - The report maintains a positive outlook on the non-bank financial sector, indicating an "Overweight" rating for the insurance sector and a favorable view on the brokerage sector [1][2][59]. Core Insights - The insurance sector is expected to benefit from a decrease in new liability costs, an increase in the value of dividend insurance options, and a stabilization of long-term interest rates, leading to a positive performance outlook [2][3]. - The brokerage sector is facing intense competition, particularly in brokerage and investment banking services, but there is potential for improved profitability if fee competition stabilizes [2][3]. Summary by Sections Market Review - The Shanghai Composite Index closed at 4,054.93 with a decline of 1.8% during the week of July 28 to August 1, 2025. The non-bank index closed at 1,941.35, down 2.4% [5][11]. - The brokerage sector index fell by 3.2%, while the insurance sector index saw a slight decline of 0.1% [5][11]. Non-Bank Financial Insights - As of August 1, 2025, the 10-year government bond yield was 1.71%, showing a decrease of 0.87 basis points, while the credit spread for corporate bonds was 0.31% [11][14]. - The average daily trading volume in the stock market was 18,099.28 billion, reflecting a decrease of 2.11% week-on-week [14][33]. Key Company Announcements - China Pacific Insurance announced a capital increase of up to HKD 1.5 billion for its wholly-owned subsidiary in Hong Kong [20]. - New China Life Insurance plans to distribute a cash dividend of RMB 1.99 per share, totaling approximately RMB 6.21 billion [24]. Investment Analysis - The report recommends several stocks in the insurance sector, including China Life, China Pacific, and New China Life, based on their expected performance [2][3]. - For the brokerage sector, it suggests focusing on leading firms with strong competitive positions, such as GF Securities and CITIC Securities, as well as those with significant international business capabilities [2][3].

Market Outlook - The market is expected to show a fluctuating pattern in early August, returning to an upward trend in late August, potentially reaching new highs [1][2] - The overall demand is recovering, with government spending and exports performing well, while real estate and investment face pressure [2][5] Earnings Reports - The earnings season is anticipated to reveal mixed results, with some stocks facing adjustment pressure before disclosures [1][2] - The second quarter earnings reports are expected to confirm improvements in operating cash flow for leading companies [2][5] Investment Strategy - A "dumbbell" investment strategy is recommended, focusing on high ROE and free cash flow companies on one side, and sectors like AI on the other [3][4] - Key sectors to watch include military trade, semiconductor autonomy, and new consumption [3] Style and Sector Allocation - In August, the market is expected to experience increased volatility, favoring mainstream styles [4] - Recommended indices include Sci-Tech 50, CSI 1000, and Hang Seng Technology [4] Industry Focus - Attention should be given to sectors with expected earnings recovery, including non-bank financials, pharmaceuticals, power equipment, machinery, defense, and computing [5][7] - Key investment themes include AI applications, AI hardware, non-bank finance, defense, and innovative drugs [5][6] Liquidity and Fund Supply - There is an expectation of continued net inflow of incremental funds, with active participation from financing, private equity, and industry ETFs [5][6] - The macro liquidity remains loose, but potential tightening may occur due to increased government bond supply [5][6] Economic Indicators - High-performing sectors in July included resources, midstream manufacturing, and information technology, with price increases noted in steel and coal [7] - The overall A-share earnings report is expected to face pressure, but certain sectors may still show robust growth [6][7]

Quantitative Models and Construction Methods 1. Model Name: Credit Impulse Timing Strategy - **Model Construction Idea**: The model uses credit impulse as a timing indicator for A-shares, where the direction of credit impulse determines the market position (full position when upward, empty position when downward) [6][13][14] - **Model Construction Process**: - Calculate the year-on-year growth rate of long-term corporate loans (TTM) as the credit impulse indicator - Use the direction of the credit impulse to determine market positions: full position when the indicator is upward, empty position when downward - Formula: $ \text{Credit Impulse} = \frac{\text{Long-term Corporate Loans (TTM)} - \text{Long-term Corporate Loans (TTM, previous year)}}{\text{Long-term Corporate Loans (TTM, previous year)}} $ - **Model Evaluation**: The model has shown high effectiveness in avoiding major downtrends in the market [6][13][14] 2. Model Name: Beta Dispersion Timing Strategy - **Model Construction Idea**: The model uses beta dispersion as an indicator to measure local market sentiment overheating, with significant monthly timing effectiveness [6][17] - **Model Construction Process**: - Calculate the monthly beta dispersion of the market - Use the beta dispersion to determine market positions: higher beta dispersion indicates higher risk - Formula: $ \text{Beta Dispersion} = \frac{\sum_{i=1}^{N} (\beta_i - \bar{\beta})^2}{N} $ where $\beta_i$ is the beta of stock i, $\bar{\beta}$ is the average beta, and N is the number of stocks - **Model Evaluation**: The model has shown significant monthly timing effectiveness since 2013 [6][17] 3. Model Name: Trading Volume Timing Strategy - **Model Construction Idea**: The model uses trading volume as an indicator for market timing, with significant daily timing effectiveness [6][17] - **Model Construction Process**: - Calculate the daily trading volume and its 60-day moving average - Use the trading volume to determine market positions: higher trading volume indicates stronger market support - Formula: $ \text{Trading Volume Indicator} = \frac{\text{Daily Trading Volume}}{\text{60-day Moving Average of Trading Volume}} $ - **Model Evaluation**: The model has shown significant daily timing effectiveness since 2013 [6][17] 4. Composite Model: Credit Impulse, Beta Dispersion, Trading Volume - **Model Construction Idea**: The composite model combines credit impulse, beta dispersion, and trading volume indicators for market timing [6][18] - **Model Construction Process**: - Use equal weighting to combine the three indicators - Adjust positions based on the combined signal: average 2-week signal change frequency - Formula: $ \text{Composite Indicator} = \frac{\text{Credit Impulse Indicator} + \text{Beta Dispersion Indicator} + \text{Trading Volume Indicator}}{3} $ - **Model Evaluation**: The composite model has shown a high annual turnover rate and significant annualized returns since 2013 [6][18] Model Backtesting Results 1. Credit Impulse Timing Strategy - **Annualized Return**: 10.83% [6][13][14] - **Avoided Major Downtrends**: 2015 H2, 2018, 2022-2024 H1 [6][13][14] 2. Beta Dispersion Timing Strategy - **Annualized Return**: 13.12% [6][17] - **Monthly Timing Effectiveness**: Significant since 2013 [6][17] 3. Trading Volume Timing Strategy - **Annualized Return**: 14.33% [6][17] - **Daily Timing Effectiveness**: Significant since 2013 [6][17] 4. Composite Model: Credit Impulse, Beta Dispersion, Trading Volume - **Annualized Return**: 19.98% [6][18] - **Annual Turnover Rate**: 24 times [6][18] Quantitative Factors and Construction Methods 1. Factor Name: Manufacturing PMI Timing Strategy - **Factor Construction Idea**: The factor uses manufacturing PMI as a timing indicator for A-shares, with positions adjusted based on PMI levels [6][13] - **Factor Construction Process**: - Calculate the rolling 5-year percentile of manufacturing PMI - Adjust positions based on PMI levels: full position when >60%, empty position when <40%, half position when between 40%-60% - Formula: $ \text{PMI Timing Indicator} = \begin{cases} \text{Full Position} & \text{if PMI Percentile} > 60\% \\ \text{Empty Position} & \text{if PMI Percentile} < 40\% \\ \text{Half Position} & \text{if 40\% \leq PMI Percentile \leq 60\%} \end{cases} $ - **Factor Evaluation**: The factor has shown poor timing performance with an annualized return of only 0.41% since 2009 [6][13] Factor Backtesting Results 1. Manufacturing PMI Timing Strategy - **Annualized Return**: 0.41% [6][13] - **Comparison with Benchmark**: Underperformed the Wind All A Index annualized return of 8.49% [6][13] Style Rotation Models and Construction Methods 1. Model Name: Growth-Value Style Rotation Model - **Model Construction Idea**: The model suggests overweighting growth based on economic cycle analysis, valuation differences, and sentiment indicators [35][36] - **Model Construction Process**: - Analyze economic cycle indicators: profitability slope, interest rate cycle, credit cycle - Calculate valuation differences: PE and PB percentiles - Assess sentiment indicators: turnover and volatility differences - Formula: $ \text{Growth-Value Rotation Indicator} = \frac{\text{Profitability Slope Indicator} + \text{Interest Rate Cycle Indicator} + \text{Credit Cycle Indicator} + \text{PE Difference Indicator} + \text{PB Difference Indicator} + \text{Turnover Difference Indicator} + \text{Volatility Difference Indicator}}{7} $ - **Model Evaluation**: The model suggests overweighting growth based on current indicators [35][36] 2. Model Name: Small-Cap Large-Cap Style Rotation Model - **Model Construction Idea**: The model suggests balanced allocation based on economic cycle analysis, valuation differences, and sentiment indicators [35][41] - **Model Construction Process**: - Analyze economic cycle indicators: profitability slope, interest rate cycle, credit cycle - Calculate valuation differences: PE and PB percentiles - Assess sentiment indicators: turnover and volatility differences - Formula: $ \text{Small-Cap Large-Cap Rotation Indicator} = \frac{\text{Profitability Slope Indicator} + \text{Interest Rate Cycle Indicator} + \text{Credit Cycle Indicator} + \text{PE Difference Indicator} + \text{PB Difference Indicator} + \text{Turnover Difference Indicator} + \text{Volatility Difference Indicator}}{7} $ - **Model Evaluation**: The model suggests balanced allocation based on current indicators [35][41] 3. Composite Model: Four-Dimensional Style Rotation Model - **Model Construction Idea**: The model combines growth-value and small-cap large-cap rotation models for allocation [35][44] - **Model Construction Process**: - Combine the signals from growth-value and small-cap large-cap rotation models - Adjust positions based on combined signals - Formula: $ \text{Four-Dimensional Rotation Indicator} = \frac{\text{Growth-Value Rotation Indicator} + \text{Small-Cap Large-Cap Rotation Indicator}}{2} $ - **Model Evaluation**: The model suggests specific allocation proportions based on current indicators [35][44] Style Rotation Model Backtesting Results 1. Growth-Value Style Rotation Model - **Annualized Return**: 11.65% [35][37] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 6.91% [35][37] 2. Small-Cap Large-Cap Style Rotation Model - **Annualized Return**: 12.32% [35][42] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 7.11% [35][42] 3. Composite Model: Four-Dimensional Style Rotation Model - **Annualized Return**: 13.22% [35][44] - **Comparison with Benchmark**: Outperformed the benchmark annualized return of 7.50% [35][44]

Group 1 - The core viewpoint is that China’s Longxin Technology has been initiated coverage by China Merchants Securities (Hong Kong) with a "strong buy" rating [1]