Group 1 - The report emphasizes that the adjustment in the Hong Kong stock market in November has created space for growth in 2026, with a focus on sectors such as AI, materials, and innovative pharmaceuticals [2][64][82] - The report highlights the importance of AI in driving productivity improvements across industries, particularly in the software sector, where per capita income has increased from 750,000 to 870,000 yuan over the past five years [1][59][61] - The report notes that the "anti-involution" trend is expected to positively impact PPI recovery and overall corporate profitability, with a significant reduction in losses for struggling companies [1][55][58] Group 2 - The report suggests that the AI sector remains a key focus for 2026, driven by the need for domestic hardware production and the expectation of more AI applications being implemented [2][82] - The materials and industrial sectors are expected to benefit from the anti-involution trend, with upstream metals and certain industrial enterprises poised to gain [2][82] - The report indicates that the innovative pharmaceutical sector is stable and worth holding, with potential for growth if new business development projects are released [2][82] Group 3 - The report discusses the performance of the Hong Kong stock market in November, noting a slight adjustment of 0.2% in the Hang Seng Index, with significant sector differentiation [64][66] - It highlights that the consumer and innovative pharmaceutical sectors showed positive performance, while technology and automotive sectors faced declines [64][66] - The report mentions that the inflow of southbound funds reached 117.2 billion yuan in November, indicating strong willingness from Chinese capital to invest in Hong Kong stocks despite market downturns [75][82]

证券研究报告 | 2025年12月02日 港股 12 月投资策略 优于大市 11 月的回调为 2026 年赢得确定空间 美国：12 月份降息预期飙至近 90%。11 月，当美联储还试图用缺乏数据的 理由来给降息预期降温时，PMI、裁员（挑战者）、消费、褐皮书等多 重数据显示当下美国经济已经面临较大的压力，故而以纽约联储主席为 代表的降息主张迅速占据上风。 2026 年早些时候，预计股票市场可能会较为温和，不会有大幅下跌的风险， 理由是美联储的托底，但实际时薪的下行依然会导致经济表现较弱。美元指 数将进一步走弱，这将利于新兴市场的股票表现。 A 股：反内卷与效率进步是看点。11 月的经济数据受到房地产、服务业的 下行而表现偏弱。对于 PPI 恢复的预期很大程度上源自反内卷，亏损企 业亏损额同比继续降低就是比较积极的信号。 此外，劳动生产率已经在 AI 的驱动下改善，软件行业表现较为显著。 在过去的 5 年中，A 股软件行业人均效率持续提升，从人均收入 75 万元 提升至 87 万元，市场已经在悄然定价这种转变。考虑到大模型正在快 速迭代，AI 对企业效率的提升可能会在 2026 年变得更加广泛和深入。 港股：短 ...

Group 1 - The overall performance of upstream resource products remains low, but internal structure continues to differentiate, with coal industry stability and slight price increases in thermal coal [4] - The manufacturing sector shows an overall recovery, with notable performance in machinery and equipment, while the automotive industry is experiencing marginal improvements [4] - Downstream consumption sectors exhibit varied recovery dynamics, with significant improvements in social services and entertainment, while the real estate sector shows signs of marginal recovery [4] Group 2 - The banking system maintains ample liquidity, with stable growth in M2 and social financing, indicating marginal improvements in the funding environment [4] - The transportation sector shows continued differentiation, with significant growth in port container throughput, while comprehensive freight rates face slight pressure due to geopolitical and supply-demand factors [4] - The environmental sector is experiencing a recovery in performance, with improved air quality rates and sustained high levels of related infrastructure investment [4] Group 3 - The chemical industry is under pressure, with prices of PVC and methanol continuing to decline, while the performance of the basic chemical sector is closely linked to fuel oil and methanol futures prices [5][10] - The steel industry shows a correlation between excess returns and various operational metrics, including iron ore operating rates and steel production inventories [21][25] - The non-ferrous metals sector maintains relative stability, with slight increases in copper and aluminum prices, and its performance is linked to the LME base metals index [27][32] Group 4 - The construction materials sector is facing weak demand, with cement and glass prices remaining in negative territory, and its performance is correlated with cement price indices [38][39] - The coal industry shows a correlation between excess returns and thermal coal closing prices, indicating a relationship with market dynamics [39][43] - The oil and petrochemical sector continues to experience weak performance, with expanding year-on-year declines in gasoline and natural gas prices [44] Group 5 - The electric equipment sector's performance is linked to the prices of photovoltaic components and polysilicon, indicating a recovery phase [46][52] - The automotive sector shows a correlation between excess returns and tire operating rates, with daily average sales of passenger vehicles also being a significant indicator [54][60] - The machinery sector's performance is associated with the BPI and machinery price indices, reflecting its recovery trajectory [61][62] Group 6 - The retail sector's performance is linked to the Yiwu order price index, indicating a recovery in trade activities [89] - The agricultural sector shows a correlation between excess returns and the food price index, with specific attention to the dynamics of vegetable prices and pig feed ratios [92][93] - The food and beverage sector's performance is associated with various agricultural product price indices, reflecting market trends [94][98]

证券研究报告 | 2025年12月02日 港股 12 月投资策略 优于大市 11 月的回调为 2026 年赢得确定空间 美国：12 月份降息预期飙至近 90%。11 月，当美联储还试图用缺乏数据的 理由来给降息预期降温时，PMI、裁员（挑战者）、消费、褐皮书等多 重数据显示当下美国经济已经面临较大的压力，故而以纽约联储主席为 代表的降息主张迅速占据上风。 2026 年早些时候，预计股票市场可能会较为温和，不会有大幅下跌的风险， 理由是美联储的托底，但实际时薪的下行依然会导致经济表现较弱。美元指 数将进一步走弱，这将利于新兴市场的股票表现。 A 股：反内卷与效率进步是看点。11 月的经济数据受到房地产、服务业的 下行而表现偏弱。对于 PPI 恢复的预期很大程度上源自反内卷，亏损企 业亏损额同比继续降低就是比较积极的信号。 此外，劳动生产率已经在 AI 的驱动下改善，软件行业表现较为显著。 在过去的 5 年中，A 股软件行业人均效率持续提升，从人均收入 75 万元 提升至 87 万元，市场已经在悄然定价这种转变。考虑到大模型正在快 速迭代，AI 对企业效率的提升可能会在 2026 年变得更加广泛和深入。 港股：短 ...

证券研究报告 | 2025年12月02日 | 晨会纪要 | | --- | | 数据日期:2025-12-01 | 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） | 3914.00 | 13146.71 | 4576.48 | 14149.78 | 3822.65 | 1336.75 | | 涨跌幅度（%） | 0.65 | 1.25 | 1.10 | 1.10 | 1.09 | 0.72 | | 成交金额（亿元） | 7856.58 | 10882.79 | 4638.61 | 3556.73 | 5183.00 | 654.92 | 【重点推荐】 金融工程 金融工程周报:ETF 周报-上周股票型 ETF 涨幅中位数达 2.4%，AI ETF 领 涨 【常规内容】 宏观与策略 固定收益投资策略:2025 年 12 月转债市场研判及"十强转债"组合 固定收益投资策略:债海观潮，大势研判——多空交织，利率低位震荡 行业与公司 食品饮料周报（25 年第 4 ...

Investment Rating - The report maintains an "Outperform" rating for the industry [5][37]. Core Insights - The report analyzes the recent financial performance of major players in the food delivery sector, including Meituan, JD Group, Alibaba, and Bawang Chaji, highlighting the impact of the ongoing delivery battle on their operations and profitability [1][2][3]. - It emphasizes that the low-frequency, low-ticket order subsidies are the primary reason for the significant losses in the instant retail business, which includes food delivery [2][19]. - The report suggests that the platforms are likely to return to a more rational subsidy strategy, focusing on high-ticket orders to improve unit economics [2][19]. Summary by Sections Meituan - In Q3 2025, Meituan reported revenues of 954.9 billion yuan, a year-on-year increase of 2.0%, but faced an adjusted net loss of 160.1 billion yuan, shifting from profit to loss [1][6]. - The core local business revenue was 674.5 billion yuan, down 2.8%, with an operating loss of 140.7 billion yuan [8][10]. - The food delivery segment is expected to see a 15% increase in order volume, but a 13% decline in revenue due to a decrease in average order value (AOV) and lower monetization rates [8][10]. JD Group and Alibaba - JD Group's Q3 2025 new business losses reached 157 billion yuan, while Alibaba's instant retail business incurred losses of approximately 361 billion yuan, with a per-order loss of about 5.3 yuan [2][17]. - Both companies are experiencing significant pressure on their overall performance due to the losses in their instant retail segments [2][19]. Bawang Chaji - Bawang Chaji reported a revenue of 32.08 billion yuan in Q3 2025, a decrease of 9.4%, with an adjusted net profit of 5.03 billion yuan, down 22.2% [3][21]. - The company has chosen a cautious approach to the delivery battle, avoiding price wars to maintain brand integrity and product strategy [3][32]. - The report notes that Bawang Chaji's same-store GMV declined by 27.9% in the Greater China region, reflecting the competitive pressures in the market [21][32]. Recommendations - The report recommends focusing on leading restaurant brands that are likely to benefit from increased subsidy efforts and are in a strong operational season, such as Guoquan, Haidilao, Yum China, and Xiaocaiyuan [3][37]. - It also highlights the potential of tea brands like Guming and Mixue Group, which are actively expanding their product offerings and private traffic strategies [3][37].

- The report does not contain any quantitative models or factors for analysis

Group 1 - The report indicates that in November, most bond varieties experienced a rise in yields, with all interest rate bonds showing a slight increase in yield [2][6] - Long-term low-grade credit bonds saw a decline in yields, with the 5-year AA- credit bond yield decreasing by 16 basis points [17][18] - The report highlights a rebound in default amounts in November, totaling 7.75 billion yuan, which is an increase from the previous month [27] Group 2 - The overseas economic outlook shows a stabilization in US inflation expectations, while economic conditions in Europe and Japan are improving [40][35] - Domestic economic growth in China showed a significant slowdown in October, with GDP growth dropping to 4.2%, down 1.1 percentage points from September [2][56] - The report notes that the high-frequency macro diffusion index for November indicates that domestic economic growth momentum remains weak [74][79] Group 3 - The monetary policy outlook suggests a low probability of interest rate cuts in the fourth quarter, as the central bank has engaged in net absorption in the open market [93][104] - The report emphasizes a shift from "disconnected stock and bond markets" to a scenario where they are more aligned, driven by macroeconomic factors [106][111] - The bond market is expected to experience low-level fluctuations, with a continued decline in government bond financing growth anticipated for the fourth quarter [2][92]

Quantitative Models and Construction Methods - **Model Name**: Securities Firm Golden Stock Performance Enhancement Portfolio **Model Construction Idea**: The model aims to optimize the selection of stocks from the securities firm's golden stock pool to outperform the benchmark index, specifically the actively managed equity fund index. It leverages a multi-factor approach and portfolio optimization techniques to control deviations in individual stocks and styles while aligning with the industry distribution of public funds[37][42]. **Model Construction Process**: 1. Use the securities firm's golden stock pool as the stock selection space and constraint benchmark. 2. Apply a multi-factor model to further refine the stock selection within the pool. 3. Optimize the portfolio to control deviations in individual stocks and styles relative to the golden stock pool. 4. Use the industry distribution of all public funds as the industry allocation benchmark. 5. Adjust the portfolio at the beginning of each month based on the latest recommendations and market data[37][42]. **Model Evaluation**: The model demonstrates strong alpha generation potential and consistently outperforms the benchmark index, reflecting the research strength of securities firms[42]. Model Backtesting Results - **Securities Firm Golden Stock Performance Enhancement Portfolio**: - **Absolute Return (Monthly)**: -1.06% (20251103-20251128)[41] - **Excess Return (Monthly)**: +1.39% relative to the actively managed equity fund index[41] - **Absolute Return (Year-to-Date)**: +33.65% (20250102-20251128)[41] - **Excess Return (Year-to-Date)**: +4.42% relative to the actively managed equity fund index[41] - **Ranking in Actively Managed Equity Funds (Year-to-Date)**: 35.37th percentile (1227/3469)[41] - **Annualized Return (2018-2025)**: +19.34%[43] - **Annualized Excess Return (2018-2025)**: +14.38% relative to the actively managed equity fund index[43] - **Performance Ranking (2018-2025)**: Top 30% of actively managed equity funds every year[43] Quantitative Factors and Construction Methods - **Factor Name**: Total Market Capitalization **Factor Construction Idea**: Reflects the size of a company, often used to capture the size effect in stock returns[26][27]. **Factor Construction Process**: Calculate the total market capitalization of each stock in the golden stock pool. Group stocks into quintiles based on their market capitalization and calculate the long-short portfolio returns for each group[26][27]. **Factor Evaluation**: Demonstrates strong performance in both the recent month and year-to-date periods[26][27]. - **Factor Name**: Single-Quarter Revenue Growth **Factor Construction Idea**: Measures the growth in revenue over a single quarter, capturing the growth potential of a company[26][27]. **Factor Construction Process**: Compute the quarter-over-quarter revenue growth for each stock. Group stocks into quintiles based on their growth rates and calculate the long-short portfolio returns for each group[26][27]. **Factor Evaluation**: Exhibits strong performance year-to-date[26][27]. - **Factor Name**: SUR (Surprise) **Factor Construction Idea**: Captures the degree to which a company's earnings or revenue exceed market expectations[26][27]. **Factor Construction Process**: Calculate the difference between actual and expected earnings or revenue for each stock. Group stocks into quintiles based on their surprise levels and calculate the long-short portfolio returns for each group[26][27]. **Factor Evaluation**: Performs well in both the recent month and year-to-date periods[26][27]. - **Factor Name**: EPTTM (Earnings to Price Trailing Twelve Months) **Factor Construction Idea**: A valuation factor that measures the earnings yield of a stock[26][27]. **Factor Construction Process**: Compute the ratio of trailing twelve-month earnings to the current stock price for each stock. Group stocks into quintiles based on their EPTTM values and calculate the long-short portfolio returns for each group[26][27]. **Factor Evaluation**: Underperforms year-to-date[26][27]. - **Factor Name**: Expected Dividend Yield **Factor Construction Idea**: Reflects the expected return from dividends, often used as a value factor[26][27]. **Factor Construction Process**: Calculate the expected dividend yield for each stock. Group stocks into quintiles based on their yields and calculate the long-short portfolio returns for each group[26][27]. **Factor Evaluation**: Underperforms year-to-date[26][27]. - **Factor Name**: BP (Book-to-Price Ratio) **Factor Construction Idea**: A valuation factor that measures the book value relative to the stock price[26][27]. **Factor Construction Process**: Compute the ratio of book value to stock price for each stock. Group stocks into quintiles based on their BP values and calculate the long-short portfolio returns for each group[26][27]. **Factor Evaluation**: Underperforms year-to-date[26][27]. Factor Backtesting Results - **Total Market Capitalization**: Strong performance in the recent month and year-to-date[26][27] - **Single-Quarter Revenue Growth**: Strong performance year-to-date[26][27] - **SUR (Surprise)**: Strong performance in the recent month and year-to-date[26][27] - **EPTTM (Earnings to Price Trailing Twelve Months)**: Weak performance year-to-date[26][27] - **Expected Dividend Yield**: Weak performance year-to-date[26][27] - **BP (Book-to-Price Ratio)**: Weak performance year-to-date[26][27]

Investment Rating - The report maintains an "Outperform the Market" rating for the food and beverage sector [4][5][15]. Core Views - The food and beverage sector is expected to see a recovery in consumer demand as the year-end approaches, with a positive outlook for 2026 [3][10]. - The report highlights a differentiation in the performance of various sub-sectors, with beverages outperforming food and alcoholic beverages [2][10]. - Key investment opportunities are identified in leading companies within the sector, particularly those with strong growth potential and market positioning [3][10][15]. Summary by Relevant Sections 1. Sector Overview - The food and beverage sector has shown a slight increase of 0.03% this week, with A-shares remaining flat and H-shares up by 0.47% [1]. - The top performers in the sector include Hai Xin Food, Jia Long Co., and Yan Tang Dairy, with significant weekly gains [1]. 2. Sub-sector Analysis - **Alcoholic Beverages**: The report indicates that the liquor sector is in a bottoming phase, with premium brands like Moutai and Luzhou Laojiao expected to gain market share [2][10]. - **Beverages**: The beverage sector is experiencing stable demand recovery, with leading companies like Nongfu Spring and Dongpeng Beverage recommended for investment [2][14]. - **Food**: The snack segment is highlighted for its growth potential, particularly in konjac products, with companies like Wei Long and Yan Jin Pu Zi recommended [2][11]. 3. Investment Recommendations - The recommended investment portfolio includes Moutai, Baba Foods, Dongpeng Beverage, Wei Long, and Luzhou Laojiao, reflecting a diverse range of opportunities across the sector [3][15]. - The report emphasizes the importance of focusing on companies with strong fundamentals and growth trajectories, particularly in the context of changing consumer preferences and market dynamics [2][10][15]. 4. Earnings Forecasts - Earnings forecasts for key companies indicate a positive growth trajectory, with Moutai expected to achieve revenues of approximately 183.5 billion yuan by 2027, reflecting a compound annual growth rate [4][15]. - Other companies like Dongpeng Beverage and Baba Foods are also projected to see significant revenue growth, driven by market expansion and product innovation [15][17].