Investment Rating - The industry investment rating is "Leading the Market - A" and the rating is maintained [8] Core Viewpoints - The report indicates that the real estate sector is experiencing a seasonal decline in July due to weakened demand caused by high temperatures and a slowdown in supply from developers [5] - The overall industry is expected to stabilize and recover, with potential policy easing in cities following Beijing's lead [5] Sales Summary - From January to July 2025, the total sales area of new commercial housing reached 520 million square meters, a year-on-year decrease of 4.0%, with the sales amount totaling 5 trillion yuan, down 6.5% year-on-year [1] - In July alone, the sales area was 57.09 million square meters, a month-on-month decline of 45.8% and a year-on-year decline of 7.8% [1] Construction Summary - The cumulative new construction area from January to July 2025 was 350 million square meters, down 19.4% year-on-year, with a slight narrowing of the decline compared to the previous month [2] - The completed area was 250 million square meters, down 16.5% year-on-year, with the decline widening compared to the previous month [2] Investment Summary - The total construction area in the first seven months was 6.39 billion square meters, a year-on-year decrease of 9.2% [3] - Real estate development investment reached 5.4 trillion yuan, down 12% year-on-year [3] Funding Summary - From January to July 2025, the total funds in place for real estate development amounted to 5.7 trillion yuan, a year-on-year decrease of 7.5% [4] - Domestic loans accounted for 920.7 billion yuan, showing a slight increase of 0.1% year-on-year, while self-raised funds decreased by 8.5% [4] Investment Recommendations - The report suggests focusing on companies that are reversing their difficulties, such as Jindi Group and New Town Holdings, as well as leading companies maintaining land acquisition intensity like China Jinmao and Greentown China [5]

Investment Rating - The investment rating for the company is upgraded to "Buy" [6] Core Views - The company is expected to experience a reversal in its performance, with the new product "Dazhen" potentially becoming a significant growth driver, leading to a mid-term revenue target of 6 billion [2][4] - The company anticipates a 39%-40% decline in adjusted net profit for the first half of 2025, which is viewed as the low point of the current adjustment period, with expectations for performance improvement in 2026 [5][10] Summary by Sections Company Overview - The company is positioned as a leading producer of sauce-flavored liquor, with a focus on innovative marketing and product strategies to drive growth [1] Product Innovation - "Dazhen" is designed to compete with top-tier products like Feitian Moutai, featuring minimalist packaging and strong brand recognition [2][3] Marketing Strategy - The marketing approach includes scenario-based marketing, short video promotions, and leveraging cultural heritage through celebrity endorsements [3][4] Financial Projections - Revenue for 2025 is projected to decline by 28.94%, with a recovery expected in 2026 at a growth rate of 29.51% [11] - The company forecasts a net profit decline of 21.35% in 2025, followed by a rebound of 43.03% in 2026 [11] Market Position - The company aims to establish "Dazhen" as a new consumption product in the liquor market, with significant growth potential and a unique distribution model [2][4]

- The report defines the market environment using the distance between the long-term (120-day) and short-term (20-day) moving averages of the WIND All A index, which continues to expand, indicating an upward trend [2][9][10] - The industry allocation model recommends sectors such as innovative drugs in Hong Kong and securities for mid-term allocation, while the TWO BETA model continues to recommend the technology sector, focusing on military and computing power [2][3][10] - The current PE ratio of the WIND All A index is around the 70th percentile, indicating a moderate level, while the PB ratio is around the 30th percentile, indicating a relatively low level [3][10][15] Model and Factor Construction 1. **Model Name: Industry Allocation Model** - **Construction Idea**: Recommends sectors based on mid-term market trends - **Construction Process**: Utilizes historical data and market trends to identify sectors with potential for reversal and growth, such as innovative drugs and securities in the Hong Kong market - **Evaluation**: Effective in identifying sectors with potential for mid-term growth [2][3][10] 2. **Model Name: TWO BETA Model** - **Construction Idea**: Focuses on sectors with high beta values, indicating higher volatility and potential returns - **Construction Process**: Analyzes sectors with high beta values, recommending technology, military, and computing power sectors - **Evaluation**: Continues to recommend high-growth sectors, showing consistency in sector selection [2][3][10] Model Backtesting Results 1. **Industry Allocation Model** - **PE Ratio**: 70th percentile [3][10][15] - **PB Ratio**: 30th percentile [3][10][15] - **Moving Average Distance**: 6.92% [2][9][10] - **Profitability Effect**: 2.30% [2][9][10] 2. **TWO BETA Model** - **PE Ratio**: 70th percentile [3][10][15] - **PB Ratio**: 30th percentile [3][10][15] - **Moving Average Distance**: 6.92% [2][9][10] - **Profitability Effect**: 2.30% [2][9][10]

Core Viewpoint - The article discusses the concept of "turnaround" in investment, using the historical example of American Express and comparing it to current situations faced by companies like Tencent and Moutai, emphasizing the importance of a company's competitive moat despite market fears [4][8]. Group 1: American Express Case Study - In 1964, Warren Buffett invested approximately $13 million to acquire 5% of American Express shares at an average price of $71 per share, which later rose to $180 per share, showcasing a significant turnaround [4]. - The "Salad Oil Scandal" in 1963 led to a crisis for American Express, causing its stock price to plummet due to fears of insolvency after banks sought compensation for losses exceeding $150 million [6]. - Buffett's unique insight allowed him to recognize that American Express's core business remained strong, as customers continued to use its services despite the scandal, leading him to invest heavily in the company [7]. Group 2: Comparison with Tencent - The article draws parallels between American Express's situation and Tencent's challenges from 2021 to 2022, where negative market sentiment led to a significant drop in its price-to-earnings (PE) ratio to 9 times, with the stock price falling to levels not seen in five years [8]. - Despite the adverse conditions, Tencent's core applications, such as WeChat and gaming, continued to thrive, indicating that the company's competitive advantages remained intact [8]. - The recovery of Tencent's stock price in subsequent years illustrates the potential for turnaround when a company's fundamental strengths are not eroded [8]. Group 3: Current Market Observations - Companies like Moutai and Wuliangye are highlighted as having similar characteristics to American Express and Tencent, where despite concerns over oversupply and inventory issues, they remain preferred choices for high-end dining and gifting [9]. - The enduring demand for premium liquor in social settings reinforces the idea that these companies possess a strong competitive moat, similar to the historical examples discussed [9].

Investment Rating - The report maintains an investment rating of "Leading the Market - A" for the real estate industry, indicating an expected return that exceeds the CSI 300 index by 10% or more over the next six months [7]. Core Viewpoints - The real estate industry in China continues to face pressure, with the top 100 real estate companies experiencing a sales decline of 13.3% year-on-year in the first seven months of 2025, with a more pronounced drop of 18.2% in July alone [1]. - The report suggests focusing on companies that may reverse their current difficulties, such as Jindi Group and New Town Holdings, as well as leading firms maintaining land acquisition intensity like China Merchants Shekou and Poly Developments [1]. - The report highlights a significant decrease in land supply and a mixed performance in housing sales across different city tiers, with first-tier cities showing some resilience while second and third-tier cities continue to struggle [3][4][38]. Summary by Sections Sales Review (July 26 - August 1) - Total transactions in 32 monitored cities reached 16,000 units, a week-on-week increase of 17.2%, but a cumulative year-on-year decline of 6.3% for 2025 [2][13]. - First-tier cities sold 4,734 units, up 38% week-on-week, while second-tier cities sold 9,726 units, up 13.6% week-on-week, and third-tier cities saw a decline of 11.1% with 1,290 units sold [2][13]. Land Supply (July 21 - July 27) - The planned land supply in 100 cities was 407 million square meters, with a cumulative supply of 12,730 million square meters for 2025, reflecting a year-on-year decrease of 13% [3][38]. - The average land listing price across 100 cities was 3,852 CNY per square meter, with a recent decline of 15.3% [3][40]. Land Transactions (July 21 - July 27) - The total area of residential land sold in 100 cities was 392 million square meters, with a cumulative total of 10,918 million square meters for 2025, showing a year-on-year increase of 3.8% [4][64]. - The average transaction price for residential land was 8,891 CNY per square meter, with a significant increase of 46.2% month-on-month and 55.9% year-on-year [4][66].

Quantitative Models and Construction Methods 1. Model Name: Timing System Model - **Model Construction Idea**: The model uses the distance between the short-term moving average (20-day) and the long-term moving average (120-day) of the WIND All A Index to determine the market trend[2][9] - **Model Construction Process**: - Calculate the 20-day moving average and the 120-day moving average of the WIND All A Index - Compute the percentage difference between the two moving averages: $ \text{Distance} = \frac{\text{20-day MA} - \text{120-day MA}}{\text{120-day MA}} \times 100\% $ - If the absolute value of the distance is greater than 3% and the short-term moving average is above the long-term moving average, the market is in an upward trend[2][9] - **Model Evaluation**: The model effectively identifies upward market trends and provides actionable signals for investors[2][9] 2. Model Name: Industry Allocation Model - **Model Construction Idea**: This model identifies medium-term industry allocation opportunities by focusing on sectors with potential for recovery or growth[2][9] - **Model Construction Process**: - Analyze industry-specific factors such as valuation, growth potential, and market sentiment - Recommend sectors like "distressed reversal" industries, Hong Kong innovative pharmaceuticals, Hang Seng dividend low-volatility sectors, and securities for medium-term allocation[2][9] - **Model Evaluation**: The model provides clear guidance for sector rotation and captures medium-term opportunities in specific industries[2][9] 3. Model Name: TWO BETA Model - **Model Construction Idea**: This model focuses on identifying high-growth sectors in the technology domain[2][9] - **Model Construction Process**: - Analyze beta factors related to technology sectors - Recommend sectors such as solid-state batteries, robotics, and military industries based on their growth potential and market trends[2][9] - **Model Evaluation**: The model is effective in capturing high-growth opportunities in the technology sector[2][9] --- Model Backtesting Results 1. Timing System Model - **Key Metrics**: - Moving average distance: 6.06% (absolute value > 3%, indicating an upward trend)[2][9] - WIND All A Index trendline: 5480 points[2][9] - Profitability effect: 1.45% (positive, indicating sustained market inflows)[2][9] 2. Industry Allocation Model - **Key Metrics**: - Recommended sectors: distressed reversal industries, Hong Kong innovative pharmaceuticals, Hang Seng dividend low-volatility sectors, and securities[2][9] 3. TWO BETA Model - **Key Metrics**: - Recommended sectors: solid-state batteries, robotics, and military industries[2][9] --- Quantitative Factors and Construction Methods 1. Factor Name: Profitability Effect - **Factor Construction Idea**: Measures the market's ability to generate positive returns, serving as a key indicator for market sentiment and fund inflows[2][9] - **Factor Construction Process**: - Calculate the profitability effect as a percentage value - Positive values indicate favorable market conditions for sustained fund inflows[2][9] - **Factor Evaluation**: The factor is a reliable indicator of market sentiment and a useful tool for timing investment decisions[2][9] --- Factor Backtesting Results 1. Profitability Effect - **Key Metrics**: - Profitability effect value: 1.45% (positive, indicating favorable market conditions)[2][9]

Investment Rating - The industry investment rating is "Positive" [1] Core Viewpoints - Shenhua plans to acquire group assets, and coal prices are expected to rise in August. Domestic power plants maintain daily coal consumption, leading to continued price increases. The coal association has advocated for controlling production and improving quality, while the Central Financial Committee emphasized the need to regulate low-price competition and promote the orderly exit of backward production capacity. The coking coal sector may see marginal improvements in performance due to environmental factors affecting capacity utilization, with supply and demand gradually balancing in the second half of the year [6][42]. Summary by Sections Coal Market Performance - The coal sector declined, underperforming the CSI 300 index by 2.81 percentage points, with a drop of 4.56% as of August 1, 2025. Among 37 stocks, Chengzhi Co. had the smallest decline at 0.89% [2]. - Key monitored enterprises reported an average daily coal sales volume of 6.64 million tons from July 25 to July 31, 2025, a week-on-week decrease of 6.9% but a year-on-year increase of 0.1%. The total coal inventory was 28.87 million tons, down 5.5% week-on-week and up 15.1% year-on-year [2]. Price Trends - As of August 1, 2025, the price of thermal coal (Q5500K) in the Bohai Rim was 665 CNY/ton, up 0.15% week-on-week. The price of imported thermal coal was 763 CNY/ton, up 0.13% week-on-week. Prices at various ports, including Qinhuangdao and Huanghua, also saw increases [3]. - For coking coal, the main coking coal price at Jingtang Port was stable at 1,650 CNY/ton, while prices for metallurgical coke increased by 3.4% for first-grade and 3.94% for second-grade [4]. Supply and Demand Dynamics - The cumulative coal sales volume for key monitored enterprises was 146.43 million tons, a year-on-year decrease of 3.3%. Power and chemical industries saw coal consumption changes of -2.7% and +16.9% respectively [2][41]. - The chemical industry’s total coal consumption was reported at 21.39 million tons as of August 1, 2025, reflecting a year-on-year increase of 16.9% [41]. Investment Recommendations - The report suggests focusing on high-dividend thermal coal companies and turnaround coking coal companies. Key companies to watch include China Shenhua, Shaanxi Coal and Chemical Industry, and Yanzhou Coal Mining Company for thermal coal, and Huabei Mining and Shanxi Coking Coal for coking coal [6][42].

Group 1: Report's Investment Rating on the Industry - Not provided in the given content Group 2: Core Viewpoints of the Report - Since 2024, there have been continuous catalysts on both the supply and demand sides of the chemical sector. The current "anti - involution" market adds to its momentum. The chemical convertible bond market is still promising in the future, with positive fundamentals, favorable debt - conversion measures, and the "asymmetry" of small - cap convertible bonds [1][15] Group 3: Summary According to Relevant Catalogs 1. Characteristics of Chemical Convertible Bonds - **Issued at the Cycle Peak**: Over half of the chemical convertible bonds were issued during the 2020 - 2021 chemical bull market, often at the end or after the bull market. This leads to high conversion prices, difficult price - downward revisions, and concerns about credit risks. Bonds issued at the cycle bottom also have their own disadvantages [16] - **Mostly Small - cap Bonds and Small - market - value Targets**: Chemical convertible bonds are mostly small - cap bonds under 1 billion yuan. Small - cap and high - rated bonds are more likely to become bull bonds due to factors such as the company's solvency, institutional investment preferences, and market conditions [17] - **Low Institutional Attention on Underlying Stocks**: The proportion of chemical stocks and convertible bonds in the overall public fund net worth is relatively low, indicating weak short - selling power and accumulating long - buying factors [20] - **Rapid and Short - lived Market**: For chemical targets with strong cyclical characteristics, the market is often rapid and short - lived. Convertible bonds in this category are cautious about forced redemptions to avoid losing debt - conversion opportunities [26] - **Positive Debt - conversion Measures**: Many bonds issued during the 200 - 2021 bull market are now approaching the put - back period, so chemical companies are more active in debt - conversion. "Downward revision" is a powerful debt - conversion tool for near - maturity convertible bonds [27] 2. How to Seize the Opportunities of Expectation Differences in Chemical Convertible Bonds - **From the Perspective of the Sector**: The chemical sector has low institutional attention, large expectation differences, and potential for excess returns. It is difficult to make sector - wide allocations due to product differentiation and small single - bond scale. Many conservative funds are restricted from participating [29] - **From the Perspective of Convertible Bond Characteristics**: Below 130 yuan, the bonds rely on the "willingness to promote conversion", and the "reason for the rise" is crucial. Above 130 yuan, they depend on the alpha of the underlying stock and the capital structure, and the non - forced redemption and reduction of the convertible bond balance can open up the upward price space [31] - **From the Fundamental Perspective**: The common differences in chemical companies are "sustainability, amplitude, and performance realization". The reasons include concerns about downstream acceptance of price increases and the potential restart of idle production lines. Currently, the market is in the first stage, and the third - quarter report and spot prices are important references [35] 3. Tracking Ideas at Present - **Low - valued Underlying Stocks + "Asymmetry" of Convertible Bonds**: This is a high - probability choice. For companies with losses or small profits in the 2024 annual report, PB(LF) is used for measurement; for companies with normal profits, PE quantiles are used. Attention should be paid to market liquidity and cycle bottom judgment [39] - **Low - inventory Varieties**: Varieties with low inventory are more likely to increase in price when affected by supply or demand changes. Some chemical convertible bond companies' products such as viscose filament, silicone DMC, etc., have relatively low inventory and high operating rates. Attention should be paid to subsequent catalysts [42] - **Layout in Growth Sectors**: With the emergence of new downstream industrial trends, many chemical companies are actively deploying new products, which can bring opportunities for "valuation expansion" and new demand. Attention should be paid to technological breakthroughs and performance realization [44] - **Select Targets with Bargaining Power**: Companies with simple main businesses and good industry structures, as well as those with technological or industrial - chain advantages, are more likely to benefit from price increases and cost advantages [45] - **Seek the Bottom - position Attributes of Large - cap Convertible Bonds of Leading Blue - chip Stocks**: In 2025, the scale of financial bonds has shrunk significantly, while the participation in convertible bond assets has increased. Funds are looking for large - scale, low - risk convertible bonds as bottom - position assets [48] - **Emphasize the Elasticity of Small - market - value and Small - cap Bonds**: The "shell resource value" has become prominent. Small - cap convertible bonds can bring good returns in a trending market, but their performance is affected by factors such as market liquidity, credit risks, and economic expectations [49]

Market Overview - The market continues to operate in an upward trend, with the core observation variable being whether the market's profit-making effect can be sustained. As long as the profit-making effect is positive, incremental capital is expected to continue entering the market. Currently, the WIND All A trend line is around 5400 points, with a profit-making effect value of 4.09%, which is significantly positive. Even in the face of short-term fluctuations, it is recommended to hold patiently or increase positions on dips [1][3][8]. Performance Metrics - The Davis Double strategy has an excess benchmark of -0.44% this week, with a cumulative absolute return of 26.78% for the year. The CSI 300 Enhanced strategy has an excess benchmark of 0.31% this week, with a cumulative excess return of 16.82% for the year. The net profit gap strategy has an excess benchmark of -1.68% this week, with a cumulative absolute return of 35.72% for the year [1][9][13]. Sector Recommendations - In terms of industry allocation, the mid-term perspective continues to recommend sectors that are experiencing a turnaround, including Hong Kong innovative drugs, Hong Kong securities, and Hang Seng consumption. The upward trend remains intact. The TWO BETA model continues to recommend the technology sector, focusing on military industry, AI applications, and solid-state batteries. Overall, in the upward trend, attention should be paid to high-elasticity sectors such as brokerages and technology [2][3][8]. Valuation Indicators - The overall PE of the WIND All A index is around the 70th percentile, indicating a medium level, while the PB is around the 30th percentile, indicating a relatively low level. Based on short-term trend assessments, the absolute return products with WIND All A as the stock allocation subject are recommended to have an 80% position [4][6]. Market Dynamics - The timing system signals show that the distance between the 20-day and 120-day moving averages continues to expand, with the latest data showing the 20-day line at 5437 and the 120-day line at 5168 points. The difference between the two lines has increased from 4.04% last week to 5.21%, with an absolute value significantly greater than 3%. The market continues to operate in an upward trend [3][8].

Quantitative Models and Construction 1. Model Name: Timing System Model - **Model Construction Idea**: This model uses the distance between the short-term moving average (20-day) and the long-term moving average (120-day) of the WIND All A Index to determine the market trend. If the short-term moving average is above the long-term moving average and the absolute distance exceeds 3%, the market is considered to be in an upward trend[2][10][16] - **Model Construction Process**: 1. Calculate the 20-day moving average (short-term) and the 120-day moving average (long-term) of the WIND All A Index 2. Compute the percentage difference between the two moving averages: $ \text{Distance} = \frac{\text{20-day MA} - \text{120-day MA}}{\text{120-day MA}} \times 100\% $ - 20-day MA: Short-term moving average - 120-day MA: Long-term moving average 3. If the distance is greater than 3% and the short-term moving average is above the long-term moving average, the market is in an upward trend[2][10][16] - **Model Evaluation**: The model effectively identifies upward market trends and provides a clear signal for timing decisions[2][10][16] 2. Model Name: Industry Allocation Model - **Model Construction Idea**: This model identifies sectors with potential for outperformance based on medium-term trends and specific themes, such as "distressed reversal" and "high elasticity" sectors[3][11][16] - **Model Construction Process**: 1. Analyze sector performance and valuation metrics 2. Identify sectors with medium-term growth potential, such as distressed reversal sectors (e.g., Hong Kong innovative drugs, Hong Kong securities, and Hang Seng consumption) 3. Highlight high-elasticity sectors like technology, military, AI applications, and solid-state batteries based on the TWO BETA model[3][11][16] - **Model Evaluation**: The model provides actionable insights for sector allocation during upward market trends, focusing on high-growth and high-elasticity sectors[3][11][16] 3. Model Name: Position Management Model - **Model Construction Idea**: This model determines the optimal stock allocation ratio based on valuation levels and short-term market trends[3][11] - **Model Construction Process**: 1. Assess the valuation levels of the WIND All A Index using PE and PB metrics 2. Combine valuation levels with short-term market trends to recommend stock allocation ratios 3. Current recommendation: Allocate 80% of absolute return products to stocks based on the WIND All A Index[3][11] - **Model Evaluation**: The model provides a systematic approach to managing stock positions, balancing valuation levels and market trends[3][11] --- Model Backtesting Results 1. Timing System Model - **Distance between Moving Averages**: 5.21% (greater than the 3% threshold, indicating an upward trend)[2][10][16] 2. Industry Allocation Model - **Recommended Sectors**: - Distressed reversal sectors: Hong Kong innovative drugs, Hong Kong securities, Hang Seng consumption - High-elasticity sectors: Technology, military, AI applications, solid-state batteries[3][11][16] 3. Position Management Model - **Stock Allocation Recommendation**: 80% allocation to stocks based on the WIND All A Index[3][11]