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

Investment Rating - The investment rating for the company is "Accumulate-A" with a 12-month target price of 32.4 CNY per share, while the current share price is 26.18 CNY [5]. Core Views - The company reported a revenue of 418 million CNY in 2024, representing a year-on-year increase of 13%, but the net profit attributable to shareholders decreased by 12% to 70 million CNY [1]. - The growth in demand for inductors is boosting the demand for soft magnetic powders, while technological substitution is enhancing the demand for Metal Injection Molding (MIM) materials [2]. - The company is in the process of ramping up production capacity from its fundraising projects, with the first phase of the Ningxia project expected to enter trial production in 2025 [8]. Summary by Sections Financial Performance - In 2024, the company achieved a revenue of 418 million CNY, with a net profit of 70 million CNY, and a gross margin of 35.40%, down by 5.06 percentage points year-on-year due to increased operating costs [1]. - For Q1 2025, the company reported a revenue of 96 million CNY, a year-on-year increase of 9%, and a net profit of 17 million CNY, reflecting a slight increase of 0.3% year-on-year [1]. Product Segments - **Atomized Alloy Powder**: Revenue for 2024 was 46 million CNY, up 13% year-on-year, with sales volume increasing by 27% to 867 tons [2]. - **Carbonyl Iron Powder**: Revenue reached 122 million CNY in 2024, a 6% increase year-on-year, with a sales volume of 2887 tons, up 9% [2]. - **MIM Feedstock**: Revenue surged by 34% to 74 million CNY in 2024, with sales volume increasing by 72% to 1540 tons [2]. - **Soft Magnetic Powder**: Revenue increased by 19% to 153 million CNY, driven by the rising demand in the automotive electronics sector [3]. - **Absorbing Materials**: Revenue grew by 83% to 4 million CNY, with sales volume increasing by 78% [3]. Capacity Expansion - The company has existing capacities of approximately 5000 tons/year for carbonyl iron powder and over 1000 tons/year for atomized alloy powder [8]. - The fundraising projects are expected to add 6000 tons/year for carbonyl iron powder and 4000 tons/year for atomized alloy powder, with the Ningxia project expected to begin trial production in 2025 [8]. Dividend Policy - The company plans to distribute a cash dividend of 2.50 CNY per 10 shares, totaling 30 million CNY, with a payout ratio of 42.62% [9].