Quantitative Models and Construction Methods Model Name: Quantitative Market Trend Analysis Framework - **Model Construction Idea**: The model aims to solve the systematic rotation problem of styles by conducting a bottom-up quantitative market trend analysis. It identifies the dominant asset characteristics that represent the future market's mainstream style through a comprehensive comparison of assets[1][5] - **Model Construction Process**: - The model considers five style stages based on the asset's industry lifecycle: external growth, quality growth, quality dividend, value dividend, and bankruptcy value[1][5] - The priority for asset comparison is based on the sequence: growth (g) > return on equity (ROE) > dividend (D)[1][5] - The model uses the spread of asset advantage differences to capture the trend changes of top assets, similar to factor timing[20] - **Model Evaluation**: The framework has shown good explanatory power for past A-share style rotations, achieving an annualized return of 27.25% since 2009[15] Model Backtesting Results - **Quantitative Market Trend Analysis Framework**: - 2009: Asset Comparison Strategy 133%, Wind All A 82%, Excess Return 51%[18] - 2010: Asset Comparison Strategy 7%, Wind All A -7%, Excess Return 14%[18] - 2011: Asset Comparison Strategy -33%, Wind All A -22%, Excess Return -11%[18] - 2012: Asset Comparison Strategy 5%, Wind All A 5%, Excess Return 0%[18] - 2013: Asset Comparison Strategy 41%, Wind All A 5%, Excess Return 36%[18] - 2014: Asset Comparison Strategy 48%, Wind All A 52%, Excess Return -4%[18] - 2015: Asset Comparison Strategy 55%, Wind All A 38%, Excess Return 16%[18] - 2016: Asset Comparison Strategy -14%, Wind All A -13%, Excess Return -1%[18] - 2017: Asset Comparison Strategy 32%, Wind All A 5%, Excess Return 27%[18] - 2018: Asset Comparison Strategy -21%, Wind All A -28%, Excess Return 7%[18] - 2019: Asset Comparison Strategy 41%, Wind All A 33%, Excess Return 8%[18] - 2020: Asset Comparison Strategy 69%, Wind All A 26%, Excess Return 44%[18] - 2021: Asset Comparison Strategy 47%, Wind All A 9%, Excess Return 38%[18] - 2022: Asset Comparison Strategy 44%, Wind All A -19%, Excess Return 62%[18] - 2023: Asset Comparison Strategy 5%, Wind All A -5%, Excess Return 10%[18] - 2024: Asset Comparison Strategy 62%, Wind All A 10%, Excess Return 52%[18] - 2025 (Aug): Asset Comparison Strategy 27%, Wind All A 23%, Excess Return 4%[18] Quantitative Factors and Construction Methods Factor Name: Expected Growth (gf) - **Factor Construction Idea**: The factor focuses on the highest analyst forecasted growth rates, regardless of the cycle stage[6] - **Factor Construction Process**: - The factor is constructed by selecting industries with the highest expected growth rates as forecasted by analysts[6] - The spread of expected growth advantage differences (Δgf) is used to capture the trend changes in top assets[20] - **Factor Evaluation**: The factor has shown significant excess returns since 2019, with notable performance in 2014-2015[34] Factor Name: Actual Growth (g) - **Factor Construction Idea**: The factor focuses on industries with the highest actual growth rates, particularly during transition and growth periods[6] - **Factor Construction Process**: - The factor is constructed by selecting industries with the highest actual growth rates (Δg)[6] - The spread of actual growth advantage differences (Δg) is used to capture the trend changes in top assets[24] - **Factor Evaluation**: The factor has shown significant excess returns in growth-dominant environments[36] Factor Name: Profitability (ROE) - **Factor Construction Idea**: The factor focuses on industries with high ROE and low valuation under the PB-ROE framework, concentrated in mature periods[6] - **Factor Construction Process**: - The factor is constructed by selecting industries with high ROE and low PB-ROE residuals[6] - The spread of ROE advantage differences is used to capture the trend changes in top assets[26] - **Factor Evaluation**: The factor has shown significant excess returns from 2016 to 2020, with weaker performance since 2021[39] Factor Name: Quality Dividend (DP+ROE) - **Factor Construction Idea**: The factor focuses on industries with the highest DP+ROE scores, concentrated in mature periods[6] - **Factor Construction Process**: - The factor is constructed by selecting industries with the highest DP+ROE scores[6] - The spread of DP+ROE advantage differences is used to capture the trend changes in top assets[42] - **Factor Evaluation**: The factor has shown significant excess returns in 2016, 2017, and 2023[43] Factor Name: Value Dividend (DP+BP) - **Factor Construction Idea**: The factor focuses on industries with the highest DP+BP scores, concentrated in mature periods[6] - **Factor Construction Process**: - The factor is constructed by selecting industries with the highest DP+BP scores[6] - The spread of DP+BP advantage differences is used to capture the trend changes in top assets[45] - **Factor Evaluation**: The factor has shown significant excess returns in 2009, 2017, and 2021-2023[46] Factor Name: Bankruptcy Value (PB+SIZE) - **Factor Construction Idea**: The factor focuses on industries with the lowest PB+SIZE scores, concentrated in stagnation and recession periods[6] - **Factor Construction Process**: - The factor is constructed by selecting industries with the lowest PB+SIZE scores[6] - The spread of PB+SIZE advantage differences is used to capture the trend changes in top assets[48] - **Factor Evaluation**: The factor has shown significant excess returns in 2015-2016 and 2021-2023[49] Factor Backtesting Results - **Expected Growth (gf)**: - Cable: 12 stocks, largest weight stock Zhongtian Technology, average market cap 21.791 billion yuan, 3-month performance 49.62%[34] - Cement: 19 stocks, largest weight stock Conch Cement, average market cap 17.929 billion yuan, 3-month performance 12.71%[34] - Glass Fiber: 6 stocks, largest weight stock China Jushi, average market cap 26.657 billion yuan, 3-month performance 63.67%[34] - Rare Earth and Magnetic Materials: 17 stocks, largest weight stock Northern Rare Earth, average market cap 31.018 billion yuan, 3-month performance 98.77%[34] - White Goods III: 10 stocks, largest weight stock Midea Group, average market cap 113.675 billion yuan, 3-month performance -1.21%[34] - **Actual Growth (g)**: - Integrated Circuits: 104 stocks, largest weight stock Cambricon-U, average market cap 45.058 billion yuan, 3-month performance 42.93%[37] - PCB: 38 stocks, largest weight stock Shenghong Technology, average market cap 27.163 billion yuan, 3-month performance 112.10%[37] - Tungsten: 4 stocks, largest weight stock Xiamen Tungsten, average market cap 30.523 billion yuan, 3-month performance 69.26%[37] - Lithium Battery Equipment: 12 stocks, largest weight stock Lead Intelligent, average market cap 11.731 billion yuan, 3-month performance 60.15%[37] - Weapons and Equipment III: 12 stocks, largest weight stock Great Wall Military Industry, average market cap 21.307 billion yuan, 3-month performance 80.22%[37] - **Profitability (ROE)**: - Beer: 7 stocks, largest weight stock Tsingtao Brewery, average market cap 26.758 billion yuan, 3-month performance -3.94%[39] - Liquor: 20 stocks, largest weight stock Kweichow Moutai, average market cap 162.722 billion yuan, 3-month performance 4.12%[39] - Non-dairy Beverages: 7 stocks, largest weight stock Eastroc Beverage, average market cap 32.754 billion yuan, 3-month performance -4.45%[39] - Network Connection and Tower Setup: 19 stocks, largest weight stock Zhongji Xuchuang, average market cap 64.299 billion yuan, 3-month performance 202.29%[39] - Building Decoration III: 28 stocks, largest weight stock Gold Mantis, average market cap 3.436 billion yuan, 3-month performance 4.42%[39] - **Quality Dividend (DP+ROE)**: - Automotive Motor Control: 15

Group 1 - The food and beverage sector experienced a slight pullback on August 6, with the Food ETF (515710) showing a minor decline of 0.16% [1] - The current valuation of the food and beverage sector remains low, with the Food ETF's underlying index PE ratio at 20.05, positioned at the 4.89% percentile over the past decade, indicating attractive long-term investment opportunities [2] - The white liquor sector is currently facing challenges, but there are multiple positive factors, including infrastructure investments and increased dividend payouts from leading companies, resulting in an overall dividend yield exceeding 4% [2][3] Group 2 - The white liquor industry is expected to see a substantial improvement in the second half of 2026, suggesting a rational outlook from companies like Jinshiyuan regarding industry recovery [2] - Historical experiences indicate that the current policy impacts on the white liquor sector are likely to be temporary, with expectations for recovery in the fourth quarter [3] - The Food ETF (515710) tracks the China Securities Index's sub-sector food and beverage index, with approximately 60% of its holdings in leading high-end and mid-range liquor stocks, and nearly 40% in beverage, dairy, and seasoning sector leaders [3] Group 3 - Some leading consumer goods and liquor stocks have underperformed, with Dongpeng Beverage down over 2%, and other companies like Chengde Lolo and Kweichow Moutai also experiencing significant declines [5]

Investment Rating - The report maintains a "Strong Buy" rating for the company, with a target price of 304 yuan [2][8]. Core Views - The company is expected to achieve a revenue of 10.63 to 10.84 billion yuan for H1 2025, representing a year-on-year growth of 35.01% to 37.68%. The net profit attributable to the parent company is projected to be between 2.31 to 2.45 billion yuan, reflecting a growth of 33.48% to 41.57% [2][8]. - In Q2 2025, the company anticipates revenue of 5.782 to 5.992 billion yuan, with a year-on-year increase of 31.67% to 36.46%. The net profit is expected to be between 1.33 to 1.47 billion yuan, showing a growth of 24.68% to 37.81% [2][8]. - The company is focusing on increasing marketing expenditures during the peak season, which is expected to drive sales growth and enhance the performance of new products [2][8]. Financial Summary - For the fiscal years 2024A to 2027E, the total revenue is projected to grow from 15.839 billion yuan in 2024 to 28.962 billion yuan in 2027, with year-on-year growth rates of 40.6%, 30.9%, 20.9%, and 15.5% respectively [4]. - The net profit attributable to the parent company is forecasted to increase from 3.326 billion yuan in 2024 to 6.617 billion yuan in 2027, with growth rates of 63.1%, 35.8%, 24.2%, and 17.9% respectively [4]. - The earnings per share (EPS) is expected to rise from 6.40 yuan in 2024 to 12.72 yuan in 2027, with corresponding price-to-earnings (P/E) ratios decreasing from 45 to 23 over the same period [4][8].