Investment Rating - The report rates the insurance industry as "Outperform" [4] Core Insights - Participating insurance has become a key product for the insurance industry to cope with the low interest rate environment, offering a "low guaranteed + high floating" return structure that effectively reduces the rigid repayment costs for insurers [1][14] - The development of participating insurance is driven by the need for regulatory innovation and the upgrading of wealth management demands among residents, particularly in a low interest rate environment [2][43] - The current regulatory cap for guaranteed interest rates on participating insurance is set at 2.0%, with some insurers lowering it to 1.5% to better manage asset-liability matching pressures [1][33] Summary by Sections Understanding Participating Insurance - Participating insurance allows policyholders to share in the surplus generated by the insurer's investment activities, creating a unique risk-sharing mechanism [14][18] - The current yield for participating insurance is approximately 3.0% to 3.5%, which is higher than traditional fixed-income products [14][19] Investment Recommendations - The report suggests focusing on companies with certain sales barriers and relatively stable asset returns, such as China Ping An, China Life, China Pacific Insurance, and New China Life [3][4] Key Company Earnings Forecasts - China Life: Outperform rating, expected EPS of 3.83 in 2025 [4] - New China Life: Outperform rating, expected EPS of 8.28 in 2025 [4] - China Pacific Insurance: Outperform rating, expected EPS of 4.77 in 2025 [4] - China Ping An: Outperform rating, expected EPS of 7.72 in 2025 [4] Capital Market Dynamics - The report highlights that the funds from participating insurance are expected to catalyze the long-term revaluation of high-dividend assets in the capital market [3][40] - Participating insurance is anticipated to contribute approximately 270 billion yuan annually in incremental funds, driven by a projected annual premium growth of 5.8 trillion yuan, with 40% coming from participating insurance [40]

Quantitative Models and Construction Methods 1. Model Name: Maximized Factor Exposure (MFE) Portfolio - **Model Construction Idea**: The MFE portfolio is designed to test the effectiveness of single factors under realistic constraints, such as industry exposure, style exposure, stock weight deviation, and turnover rate. This approach ensures that the factors deemed "effective" can genuinely contribute to return prediction in the final portfolio[38][39]. - **Model Construction Process**: The MFE portfolio is constructed using the following optimization model: $ \begin{array}{ll} max & f^{T}\ w \\ s.t. & s_{l}\leq X(w-w_{b})\leq s_{h} \\ & h_{l}\leq H(w-w_{b})\leq h_{h} \\ & w_{l}\leq w-w_{b}\leq w_{h} \\ & b_{l}\leq B_{b}w\leq b_{h} \\ & \mathbf{0}\leq w\leq l \\ & \mathbf{1}^{T}\ w=1 \end{array} $ - **Objective Function**: Maximize single-factor exposure, where \( f \) represents factor values, \( f^{T}w \) is the weighted exposure, and \( w \) is the stock weight vector. - **Constraints**: 1. **Style Exposure**: \( X \) is the factor exposure matrix, \( w_b \) is the benchmark weight vector, and \( s_l, s_h \) are the lower and upper bounds for style exposure[39]. 2. **Industry Exposure**: \( H \) is the industry exposure matrix, and \( h_l, h_h \) are the lower and upper bounds for industry deviation[39]. 3. **Stock Weight Deviation**: \( w_l, w_h \) are the lower and upper bounds for stock weight deviation[39]. 4. **Constituent Weight Control**: \( B_b \) is a 0-1 vector indicating benchmark constituents, and \( b_l, b_h \) are the lower and upper bounds for constituent weights[39]. 5. **No Short Selling**: Ensures non-negative weights and limits individual stock weights[39]. 6. **Full Investment**: Ensures the portfolio is fully invested (\( \mathbf{1}^{T}w = 1 \))[40]. - **Implementation**: - Constraints are set monthly, and the MFE portfolio is rebalanced accordingly. - Historical returns are calculated, and transaction costs of 0.3% (double-sided) are deducted to evaluate the portfolio's performance relative to the benchmark[42]. - **Model Evaluation**: The MFE portfolio effectively identifies factors that can predict returns under realistic constraints, making it a robust tool for factor validation[38][39]. --- Quantitative Factors and Construction Methods 1. Factor Name: Standardized Unexpected Earnings (SUE) - **Factor Construction Idea**: Measures the deviation of actual earnings from expected earnings, standardized by the standard deviation of expected earnings, to capture earnings surprises[15]. - **Factor Construction Process**: $ SUE = \frac{\text{Actual Net Profit} - \text{Expected Net Profit}}{\text{Standard Deviation of Expected Net Profit}} $ - **Parameters**: - Actual Net Profit: Reported quarterly net profit. - Expected Net Profit: Consensus analyst forecast for the quarter. - Standard Deviation: Variability in analyst forecasts[15]. 2. Factor Name: Delta ROA (DELTAROA) - **Factor Construction Idea**: Tracks the change in return on assets (ROA) compared to the same quarter in the previous year to capture profitability trends[15]. - **Factor Construction Process**: $ \Delta ROA = \text{ROA}_{\text{current quarter}} - \text{ROA}_{\text{same quarter last year}} $ - **Parameters**: - ROA: \( \frac{\text{Net Income} \times 2}{\text{Average Total Assets}} \)[15]. 3. Factor Name: Standardized Unexpected Revenue (SUR) - **Factor Construction Idea**: Measures the deviation of actual revenue from expected revenue, standardized by the standard deviation of expected revenue, to capture revenue surprises[15]. - **Factor Construction Process**: $ SUR = \frac{\text{Actual Revenue} - \text{Expected Revenue}}{\text{Standard Deviation of Expected Revenue}} $ - **Parameters**: - Actual Revenue: Reported quarterly revenue. - Expected Revenue: Consensus analyst forecast for the quarter. - Standard Deviation: Variability in analyst forecasts[15]. --- Factor Backtesting Results 1. **Performance in CSI 300 Universe** - **Top-Performing Factors (1 Week)**: Single-quarter ROA (1.09%), Standardized Unexpected Revenue (0.73%), Single-quarter Revenue Growth (0.71%)[17]. - **Underperforming Factors (1 Week)**: Specificity (-0.93%), 3-Month Reversal (-0.53%), 1-Month Volatility (-0.46%)[17]. 2. **Performance in CSI 500 Universe** - **Top-Performing Factors (1 Week)**: Standardized Unexpected Revenue (1.07%), Single-quarter Net Profit Growth (1.00%), Standardized Unexpected Earnings (0.99%)[19]. - **Underperforming Factors (1 Week)**: 3-Month Volatility (-1.08%), BP (-0.28%), 1-Month Volatility (-1.14%)[19]. 3. **Performance in CSI 1000 Universe** - **Top-Performing Factors (1 Week)**: Standardized Unexpected Revenue (1.07%), Standardized Unexpected Earnings (1.00%), Single-quarter Revenue Growth (0.90%)[21]. - **Underperforming Factors (1 Week)**: 1-Month Volatility (-1.14%), 3-Month Volatility (-1.08%), 3-Month Reversal (-1.02%)[21]. 4. **Performance in CSI A500 Universe** - **Top-Performing Factors (1 Week)**: Single-quarter ROA (1.14%), Delta ROA (1.12%), Delta ROE (1.02%)[23]. - **Underperforming Factors (1 Week)**: Specificity (-0.65%), Non-Liquidity Shock (-0.64%), 1-Month Volatility (-0.62%)[23]. 5. **Performance in Public Fund Heavyweight Index** - **Top-Performing Factors (1 Week)**: Delta ROA (1.12%), Expected PEG (0.94%), Standardized Unexpected Earnings (0.99%)[25]. - **Underperforming Factors (1 Week)**: 3-Month Volatility (-0.60%), 1-Month Volatility (-0.62%), 1-Month Reversal (-0.37%)[25].

Core Insights - The report highlights the performance of various active quantitative strategies, with a focus on the "Excellent Fund Performance Enhancement Portfolio," "Expected Selection Portfolio," "Brokerage Golden Stock Performance Enhancement Portfolio," and "Growth Stability Portfolio" [1][12][30][37] Group 1: Excellent Fund Performance Enhancement Portfolio - The portfolio achieved an absolute return of -1.03% for the week and 11.69% year-to-date, ranking in the 46.32 percentile among active equity funds [20][16] - The strategy aims to outperform the median return of active equity funds by utilizing a quantitative approach based on the holdings of top-performing funds [3][50] Group 2: Expected Selection Portfolio - This portfolio recorded an absolute return of 2.16% for the week and 27.67% year-to-date, ranking in the 11.53 percentile among active equity funds [29][25] - The strategy selects stocks based on expected performance and analyst upgrades, focusing on both fundamental and technical criteria [4][56] Group 3: Brokerage Golden Stock Performance Enhancement Portfolio - The portfolio had an absolute return of -0.62% for the week and 15.41% year-to-date, ranking in the 33.73 percentile among active equity funds [36][32] - The strategy is based on a selection of stocks from the brokerage's top picks, aiming to optimize the portfolio while minimizing deviation from the benchmark [5][61] Group 4: Growth Stability Portfolio - This portfolio achieved an absolute return of 1.23% for the week and 31.57% year-to-date, ranking in the 8.19 percentile among active equity funds [45][40] - The strategy employs a two-dimensional evaluation system for growth stocks, prioritizing those with upcoming earnings announcements to capture potential excess returns [6][67]

Quantitative Models and Construction Methods 1. Model Name: Hong Kong Stock Selection Portfolio Strategy - **Model Construction Idea**: The strategy is based on a dual-layer selection process that integrates fundamental and technical analysis. It aims to identify stocks with both fundamental support and technical resonance from an analyst-recommended stock pool[13][14] - **Model Construction Process**: 1. **Analyst Recommendation Pool**: Constructed using three types of analyst recommendation events: upward earnings forecast revisions, initial analyst coverage, and research reports with unexpected positive titles[14] 2. **Dual-Layer Screening**: - **Fundamental Screening**: Select stocks with strong fundamental support - **Technical Screening**: Identify stocks with technical resonance 3. **Portfolio Backtesting**: The backtesting period spans from January 1, 2010, to June 30, 2025. The portfolio assumes a fully invested position and accounts for transaction costs[14] - **Model Evaluation**: The strategy demonstrates strong performance, with an annualized return of 19.11% and an excess return of 18.48% relative to the Hang Seng Index over the backtesting period[14] 2. Model Name: Stable New High Stock Screening - **Model Construction Idea**: This model leverages the momentum effect, which is particularly significant in the Hong Kong stock market. It identifies stocks that have recently reached a 250-day high and exhibit stable price paths[19][21] - **Model Construction Process**: 1. **250-Day High Distance Calculation**: $ 250\text{-Day High Distance} = 1 - \frac{\text{Close}_{\text{latest}}}{\text{ts\_max}(\text{Close}, 250)} $ - $\text{Close}_{\text{latest}}$: Latest closing price - $\text{ts\_max}(\text{Close}, 250)$: Maximum closing price over the past 250 trading days[21] 2. **Screening Criteria**: - **Analyst Attention**: At least five "Buy" or "Overweight" ratings in the past six months - **Relative Strength**: Top 20% in 250-day price change within the sample pool - **Price Stability**: Top 50% based on a composite score of price path smoothness and new high persistence[22] - **Trend Continuation**: Top 50 stocks based on the average 250-day high distance over the past five days[22] - **Model Evaluation**: The model effectively identifies stocks with strong momentum and stable price paths, making it a useful tool for trend-following strategies[19][21] --- Model Backtesting Results 1. Hong Kong Stock Selection Portfolio Strategy - **Annualized Return**: 19.11% - **Excess Return (Relative to Hang Seng Index)**: 18.48% - **Maximum Drawdown**: 23.73% - **Information Ratio (IR)**: 1.22 - **Tracking Error**: 14.55% - **Return-to-Drawdown Ratio**: 0.78[18] 2. Stable New High Stock Screening - **Sector Distribution**: - **Healthcare**: 16 stocks - **Finance**: 9 stocks - **Technology**: 8 stocks - **Consumer**: 8 stocks - **Cyclicals**: 3 stocks[21][22]

- The report discusses the performance of various market indices, highlighting that the CSI 2000 Index performed well, while the SSE 50 Index fell by 0.79% and the CSI 300 Index fell by 0.51%[6] - The report also notes that the CSI 500 Value Index performed well among style indices, rising by 0.06%, while the CSI 500 Growth Index rose by 0.04%[6] - In terms of sector performance, the media, light manufacturing, home appliances, textile and apparel, and automotive sectors performed well, with returns of 0.91%, 0.60%, 0.53%, 0.50%, and 0.49%, respectively[7] - The report provides data on market sentiment, noting that 51 stocks hit their daily limit up and 9 stocks hit their daily limit down at the close of trading on August 1, 2025[13] - The report includes information on market funds flow, stating that as of July 31, 2025, the balance of margin trading was 19,848 billion yuan, with a financing balance of 19,710 billion yuan and a securities lending balance of 138 billion yuan[19] - The report discusses ETF premiums and discounts, noting that on July 31, 2025, the oil and gas resources ETF had the highest premium at 3.15%, while the new energy theme ETF had the highest discount at 0.85%[23] - The report provides data on block trading, stating that the average daily transaction amount of block trades in the past six months was 1.3 billion yuan, with a discount rate of 5.79%[26] - The report includes information on stock index futures basis, noting that on August 1, 2025, the annualized premium rate of the SSE 50 stock index futures main contract was 0.07%, while the annualized discount rates of the CSI 300, CSI 500, and CSI 1000 stock index futures main contracts were 4.46%, 12.55%, and 13.67%, respectively[28] - The report provides data on institutional attention and the Dragon and Tiger List, noting that in the past week, the stocks with the most institutional research were Zhongwang Software, Huanxu Electronics, Weisheng Information, and Aojie Technology-U, with Zhongwang Software being researched by 89 institutions[30] - The report includes data on the Dragon and Tiger List for August 1, 2025, noting that the top ten stocks with net inflows from institutional seats were Tianfu Wenlv, Shensanda A, Asia Pacific Pharmaceuticals, Xin Henghui, Huasheng Pharmaceuticals, Longyang Electronics, Chuanrun Co., Haisen Pharmaceuticals, Xiaxia Precision, and Dongjie Intelligent[36] - The report also notes that the top ten stocks with net inflows from Northbound Trading were Jiejia Weichuang, Beingmate, Shuangliang Energy Saving, Ruikeda, Shensanda A, Huajian Group, and Gongchuang Lawn[37]

- The report introduces a quantitative model named "250-Day New High Distance" to track market trends and identify leading stocks. The model calculates the distance between the latest closing price and the highest closing price over the past 250 trading days using the formula: $ 250\text{-Day New High Distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ where $\text{Close}_{t}$ represents the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price in the past 250 trading days. If the latest closing price reaches a new high, the distance equals 0; otherwise, it indicates the percentage drop from the peak[10][11][12] - The report evaluates the model positively, citing its ability to capture momentum and trend-following strategies effectively. It references prior research, such as [George@2004] and insights from investment books like "Stock Market Wizard," which emphasize the importance of tracking stocks near their 52-week highs[10][18][21] - The report applies the model to major indices, showing their respective 250-Day New High Distances as of August 1, 2025: - Shanghai Composite Index: 1.54% - Shenzhen Component Index: 4.38% - CSI 300: 4.73% - CSI 500: 2.25% - CSI 1000: 1.53% - CSI 2000: 1.08% - ChiNext Index: 8.93% - STAR 50 Index: 7.99%[11][12][33] - The report identifies industries and concept indices close to their 250-Day New Highs, such as Media, Communication, Pharmaceuticals, Defense, and Steel. Concept indices like Wind Microcap Equal Weight, Electronic Equipment, CRO, and Innovative Drugs also show proximity to their 250-Day New Highs[12][14][33] - The report tracks stocks that have reached 250-Day New Highs in the past 20 trading days. A total of 1,239 stocks are identified, with the highest counts in industries like Pharmaceuticals (192 stocks), Machinery (169 stocks), and Basic Chemicals (132 stocks). The highest proportions are found in Banking (64.29%), Steel (56.60%), and Nonferrous Metals (41.94%)[19][20][34] - The report introduces a factor named "Stable New High Stocks," which selects stocks based on criteria such as analyst attention, relative price strength, price path smoothness, and sustained new highs. Specific metrics include: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative price strength: Top 20% in 250-day returns - Price path smoothness: Evaluated using metrics like cumulative absolute daily returns over 120 days - Sustained new highs: Average 250-Day New High Distance over the past 120 days - Trend continuation: Average 250-Day New High Distance over the past five days[24][27][28] - The report lists 50 stocks selected as "Stable New High Stocks," with the highest counts in Manufacturing (15 stocks) and Technology (14 stocks). Examples include Shenghong Technology, Borui Pharmaceuticals, and Feilihua[28][32][34]

Investment Rating - The investment rating for Hisense Home Appliances is "Outperform the Market" [7]. Core Views - The company showed slight pressure in Q2 2025, but overall performance remained stable with H1 revenue of 49.34 billion (+1.4%) and net profit of 2.08 billion (+3.0%) [2]. - The air conditioning business faced challenges, impacting Q2 results, but the overall growth in H1 indicates resilience [2]. - The company is expected to maintain profitability in its central air conditioning segment while facing price competition in the home air conditioning market [2][3]. Revenue and Profitability - In H1 2025, the revenue from HVAC (Heating, Ventilation, and Air Conditioning) grew by 4.1% to 23.69 billion, with a decline in Hisense Hitachi revenue by 6.0% to 10.66 billion [2]. - The ice washing segment saw a revenue increase of 4.8% to 15.39 billion, with an operating profit margin improvement of 0.8 percentage points to 4.2% [3]. - The three electric segments (automotive compressors and thermal management) reported a revenue growth of 3% in H1, with new orders contributing to future revenue stability [3]. Sales Performance - Domestic sales in H1 2025 decreased by 0.3% to 25.25 billion, primarily due to the impact of central air conditioning, while overseas sales increased by 12.3% to 20.45 billion [3]. - Significant growth was observed in various regions, with Europe up by 22.7%, the Americas by 26.2%, and the Middle East and Africa by 22.8% [3]. Margin and Cost Analysis - The gross margin for H1 improved by 0.7 percentage points to 21.5%, with Q2 gross margin also up by 1.1 percentage points to 21.5% [4]. - Increased expenses in sales, management, R&D, and finance were noted, with Q2 expense ratios rising by 0.3 percentage points across various categories [4]. Profit Forecast and Valuation - The profit forecast has been adjusted downwards, with expected net profits for 2025-2027 at 3.55 billion, 3.90 billion, and 4.27 billion, reflecting a year-on-year growth of 6.1%, 9.9%, and 9.5% respectively [4][5]. - The corresponding price-to-earnings ratios are projected at 10.6, 9.7, and 8.8 for the respective years [4].

Investment Rating - The investment rating for the company is "Outperform the Market" [5][3][21] Core Views - The company achieved steady revenue and profit growth in the first half of 2025, with revenue reaching 9.335 billion yuan, up 17.50% year-on-year, and net profit attributable to shareholders of 296 million yuan, up 7.46% year-on-year [1][7] - The electromagnetic wire business showed significant performance, with revenue of 3.746 billion yuan, a year-on-year increase of 28%, and a net profit of 196 million yuan, up 70% year-on-year [2][20] - New application areas are expanding rapidly, with revenue from clean energy applications increasing by 54% year-on-year, and smart grid applications up by 19% year-on-year [19][21] Summary by Sections Financial Performance - In Q2, the company reported revenue of 5.238 billion yuan, a year-on-year increase of 18.45% and a quarter-on-quarter increase of 27.87%, with a net profit of 160 million yuan, up 12.78% year-on-year [19][15] - The overall gross profit margin for the first half was 10.32%, a decrease of 0.67 percentage points year-on-year, while the net profit margin was 3.61%, down 0.25 percentage points year-on-year [1][7] Business Segments - The wire and cable segment generated revenue of 5.538 billion yuan, an 11% increase year-on-year, with a gross margin of 10.17%, down 1.48 percentage points [20] - The company successfully expanded its market in the power grid sector, achieving a 167% year-on-year increase in bid amounts [20][21] Export and International Expansion - Direct export revenue reached 262 million yuan, a 38% increase year-on-year, with a gross margin of 16.22%, which is approximately 6 percentage points higher than domestic sales [21] - The company is progressing with its overseas production capacity in the Czech Republic, aiming to start trial production by the end of the year [21][20] Future Outlook - The profit forecast for 2025-2027 has been adjusted downwards due to the demand and pricing situation in the real estate and construction sectors, with expected net profits of 674 million yuan, 759 million yuan, and 884 million yuan respectively [3][21] - The current stock price corresponds to a price-to-earnings ratio of 11, 10, and 8 times for the years 2025, 2026, and 2027 respectively [3][21]

Investment Rating - The investment rating for the food and beverage industry, specifically for alcoholic beverages, is "Outperform the Market" [1]. Core Insights - The alcoholic beverage instant retail sector is entering a rapid development phase, with significant room for channel penetration. Instant retail is defined as a "supply revolution" and "efficiency revolution" driven by consumer lifestyles. Major platforms are increasing capital investment, suggesting a new development stage for local living, with instant retail platforms likely transitioning from "selling products" to "selling scenarios" [3][11]. - The market size for alcoholic beverage instant retail is projected to reach 36 billion yuan in 2024, with a penetration rate of approximately 1.8%. By 2030, the market could expand to between 60 billion and 90 billion yuan, driven by both supply and demand [3][17]. - The current instant retail channels are categorized into two models: platform models that integrate resources and self-operated models that maintain strong supply chain control [3][19]. - Alcoholic beverage companies are actively embracing channel transformation, with a focus on instant retail and online channels. This shift is seen as a crucial attempt for brands to integrate into consumers' lifestyles [3][4]. Summary by Sections 1. Development of Alcoholic Beverage Instant Retail - Instant retail is creating "all-weather scenarios" for consumers, accelerating supply-side development [7][11]. - The demand for alcoholic beverages in instant retail is increasing, particularly during nighttime hours, with younger consumers driving this trend [11][12]. 2. Necessity of Channel Transformation - The transformation of alcoholic beverage channels is deemed inevitable due to changing consumer lifestyles and the need for supply chain efficiency [3][31]. - The competition landscape for white and beer products is stabilizing, with consumers forming brand loyalty [3][4]. 3. Potential Opportunities and Highlights - Instant retail channels provide a testing ground for younger products, allowing companies to innovate with lower costs and better data feedback for product development [5][27]. - The shift towards high-end products in the beer sector is facilitated by instant retail, which allows for rapid turnover and the introduction of craft and fresh beer products [5][41]. 4. Accelerated Layout of Instant Retail Channels - Alcoholic beverage companies are increasingly investing in instant retail channels, viewing them as essential for integrating into consumer lifestyles [3][4]. - Companies like Moutai and others are actively recruiting operators on platforms like Meituan and Douyin to expand their consumer base [3][4]. 5. Profit Forecast and Investment Recommendations - Short-term impacts of instant retail on the competitive landscape of white and beer products may be limited, but long-term opportunities exist for companies that adapt to channel changes [4][5]. - Recommended stocks include Shanxi Fenjiu, Luzhou Laojiao, Guizhou Moutai, Yanjing Beer, and Chongqing Beer [4].

Core Insights - The construction industry is expected to outperform the market in the second half of 2025, driven by improvements in asset quality and a potential recovery in demand [1][4] - Downstream demand remains weak, leading to accelerated balance sheet contraction among construction companies [1][4] - Infrastructure investment is anticipated to become a key driver for expanding domestic demand and stabilizing growth [3][4] Summary by Sections Industry Performance - In the first half of 2025, the total contract amount for new projects in the construction industry reached 25 trillion yuan, a year-on-year increase of 22.5%, although still significantly lower than levels in 2022-2023 [1][30] - The industry is experiencing a decline in new orders and revenue, but signs of a profitability turning point are emerging as some local construction companies accelerate the collection of receivables and repay existing debts [1][4] Inventory Cycle Perspective - The construction industry is nearing the end of a "passive inventory replenishment" phase, characterized by a lagged response of inventory fluctuations to changes in downstream demand [2][77] - Since 2021, the industry has entered a phase of passive inventory accumulation due to prolonged project repayment cycles and a concentration of PPP projects transitioning to operational phases [2][82] Infrastructure Investment - Infrastructure investment is seen as a critical measure to expand domestic demand and stabilize economic growth, especially in light of pressures on price indicators and the need for effective investment [3][4] - The government is expected to increase fiscal support for infrastructure projects, particularly in areas related to public welfare and energy security [3][4] Investment Recommendations - The report maintains a positive outlook for the construction sector in the second half of 2025, suggesting that asset quality improvements will align with demand recovery [4] - Recommended stocks include Yaxiang Integration, Zhongyan Dadi, China Railway Construction, and others, which are expected to benefit from the anticipated recovery in infrastructure investment [4][8]