Quantitative Models and Construction 1. Model Name: Odds + Win Rate Strategy - **Model Construction Idea**: This strategy combines the risk budget of the odds-based strategy and the win-rate-based strategy to create a comprehensive scoring system for asset allocation[3][48][54] - **Model Construction Process**: 1. The odds-based strategy allocates more to high-odds assets and less to low-odds assets under a target volatility constraint[48] 2. The win-rate-based strategy derives macro win-rate scores from five factors: monetary, credit, growth, inflation, and overseas, and allocates accordingly[51] 3. The combined strategy sums the risk budgets of the two strategies to form a unified allocation model[54] - **Model Evaluation**: The model demonstrates stable performance with low drawdowns and consistent returns over different time periods[54] 2. Model Name: Industry Rotation Strategy - **Model Construction Idea**: This strategy evaluates industries based on three dimensions: momentum/trend, turnover/volatility/beta (crowding), and IR (information ratio) over the past 12 months[43] - **Model Construction Process**: 1. Momentum and trend are measured using the IR of industries over the past 12 months[43] 2. Crowding is assessed using turnover ratio, volatility ratio, and beta ratio[43] 3. The strategy ranks industries based on these metrics and allocates to those with strong trends, low crowding, and high IR[43] - **Model Evaluation**: The strategy has shown strong excess returns and low tracking errors, making it a robust framework for industry allocation[43] --- Model Backtesting Results 1. Odds + Win Rate Strategy - **Annualized Return**: - 2011 onwards: 7.0% - 2014 onwards: 7.6% - 2019 onwards: 7.2%[54] - **Maximum Drawdown**: - 2011 onwards: 2.8% - 2014 onwards: 2.7% - 2019 onwards: 2.8%[54] - **Sharpe Ratio**: - 2011 onwards: 2.86 - 2014 onwards: 3.26 - 2019 onwards: 2.85[56] 2. Industry Rotation Strategy - **Excess Return**: - 2011 onwards: 13.1% - 2014 onwards: 13.0% - 2019 onwards: 10.8%[44] - **Tracking Error**: - 2011 onwards: 11.0% - 2014 onwards: 12.0% - 2019 onwards: 10.7%[44] - **IR**: - 2011 onwards: 1.18 - 2014 onwards: 1.08 - 2019 onwards: 1.02[44] --- Quantitative Factors and Construction 1. Factor Name: Value Factor - **Factor Construction Idea**: Measures stocks with strong trends, low crowding, and moderate odds[27] - **Factor Construction Process**: 1. Trend is measured at zero standard deviation[27] 2. Odds are at 0.3 standard deviation[27] 3. Crowding is at -1.3 standard deviation[27] - **Factor Evaluation**: The factor ranks highest among all style factors, making it a key focus for allocation[27] 2. Factor Name: Quality Factor - **Factor Construction Idea**: Focuses on high odds, weak trends, and low crowding, with potential for future trend confirmation[29] - **Factor Construction Process**: 1. Odds are at 1.7 standard deviation[29] 2. Trend is at -1.4 standard deviation[29] 3. Crowding is at -0.8 standard deviation[29] - **Factor Evaluation**: The factor shows left-side buy signals but requires trend confirmation for stronger allocation[29] 3. Factor Name: Growth Factor - **Factor Construction Idea**: Represents high odds, moderate trends, and moderate crowding, suitable for standard allocation[32] - **Factor Construction Process**: 1. Odds are at 0.9 standard deviation[32] 2. Trend is at -0.2 standard deviation[32] 3. Crowding is at 0.1 standard deviation[32] - **Factor Evaluation**: The factor is recommended for standard allocation due to its balanced characteristics[32] 4. Factor Name: Small-Cap Factor - **Factor Construction Idea**: Characterized by low odds, strong trends, and high crowding, with high uncertainty[35] - **Factor Construction Process**: 1. Odds are at -0.7 standard deviation[35] 2. Trend is at 1.6 standard deviation[35] 3. Crowding is at 0.6 standard deviation[35] - **Factor Evaluation**: The factor is not recommended due to its high uncertainty and crowding[35] --- Factor Backtesting Results 1. Value Factor - **Odds**: 0.3 standard deviation - **Trend**: 0 standard deviation - **Crowding**: -1.3 standard deviation[27] 2. Quality Factor - **Odds**: 1.7 standard deviation - **Trend**: -1.4 standard deviation - **Crowding**: -0.8 standard deviation[29] 3. Growth Factor - **Odds**: 0.9 standard deviation - **Trend**: -0.2 standard deviation - **Crowding**: 0.1 standard deviation[32] 4. Small-Cap Factor - **Odds**: -0.7 standard deviation - **Trend**: 1.6 standard deviation - **Crowding**: 0.6 standard deviation[35]

Group 1: Environmental Protection Industry - The report emphasizes the acceleration of the construction of "waste-free cities" and the establishment of ecological environment protection responsibility systems, which are expected to create new opportunities for the environmental protection industry [10] - The implementation of the "Regulations on the Ecological Environment Protection Responsibility System for Local Party and Government Leaders" mandates the integration of ecological protection into development planning, enhancing supervision and accountability [10] - The report suggests focusing on sectors such as ecological restoration, environmental monitoring, and green technology applications, with specific recommendations for companies like Huicheng Environmental Protection and Hongcheng Environment [10] Group 2: Coal Industry - China Shenhua (601088.SH) is initiating a large-scale asset acquisition, planning to purchase coal, coal power, and coal chemical assets from the State Energy Group, which will enhance its resource reserves and operational capabilities [11] - The transaction involves thirteen restructuring targets, indicating a strategic move to optimize resource allocation and improve investor returns [11] - The report projects that China Shenhua will achieve net profits of 50.3 billion, 53.2 billion, and 55.9 billion yuan from 2025 to 2027, maintaining a "buy" rating based on a PE ratio of 14.8, 14.0, and 13.4 times respectively [12] Group 3: Communication Industry - The report highlights that Shijia Photonics (688313.SH) achieved a revenue of 993 million yuan in the first half of 2025, marking a year-on-year growth of 121.1%, with a significant increase in net profit [14] - The company is positioned well within the optical communication sector, benefiting from the ongoing technological advancements and increasing demand for optical devices [15] - Future profit forecasts for Shijia Photonics are set at 457 million, 710 million, and 993 million yuan for 2025, 2026, and 2027, respectively, with a maintained "buy" rating [15] Group 4: Retail Industry - The retail sector is experiencing a stable fundamental environment, with leading companies like Yonghui Supermarket and Chongqing Department Store expected to benefit from recent policy implementations [8] - The report identifies several key players in the new consumption landscape, including Gu Ming and Cha Bai Dao, which are anticipated to see growth due to favorable market conditions [8] - The tourism sector remains robust, with companies such as Xiangyuan Cultural Tourism and Songcheng Performing Arts highlighted as potential beneficiaries of the ongoing recovery [8] Group 5: Home Appliance Industry - Ninebot (689009.SH) reported strong performance in its two-wheeled vehicle segment, with a revenue increase of 27.6% in Q2 2025 [16] - The company is expanding its product matrix, including electric scooters and all-terrain vehicles, which are expected to drive future growth [16] - Profit forecasts for Ninebot indicate a net profit of 1.85 billion, 2.73 billion, and 3.64 billion yuan from 2025 to 2027, with a maintained "overweight" rating [16]