2025 年 8 月 2 日 总量研究 小市值风格占优，PB-ROE 组合表现较好 ——量化组合跟踪周报 20250801 要点 量化市场跟踪 大类因子表现：本周（2025.07.28-2025.08.01，下同）全市场股票池中，beta 因子和残差波动率因子获得正收益（0.73%和 0.60%），规模因子和非线性市值 因子取得负收益（-0.51%和-0.40%），市场小市值风格占优。 单因子表现：沪深 300 股票池中，本周表现较好的因子有总资产毛利率 TTM(2.64%)、单季度总资产毛利率(2.37%)、单季度 ROA(2.28%),表现较差的 因子有标准化预期外盈利(-0.86%)、5 日成交量的标准差(-1.00%)、动量调整小 单(-1.10%)。 中证 500 股票池中，本周表现较好的因子有单季度总资产毛利率(1.39%)、5 日 反转(1.17%)、总资产毛利率 TTM(0.95%),表现较差的因子有动量调整大单 (-0.87%)、日内波动率与成交金额的相关性(-1.31%)、下行波动率占比(-1.48%)。 流动性 1500 股票池中，本周表现较好的因子有总资产毛利率 TTM(1.35%)、 ...

Core Viewpoint - The report highlights the performance of various investment factors and strategies over the week, indicating a mixed market environment with specific factors yielding positive and negative returns [3][4][5]. Factor Performance - BP factor and profit factor achieved positive returns of 0.30% and 0.27% respectively, while non-linear market capitalization factor and size factor showed significant negative returns of -0.31% and -0.29%, indicating a clear small-cap market style [3]. - In the CSI 300 stock pool, the best-performing factors included TTM P/E ratio (0.70%), TTM P/S ratio (0.59%), and 5-minute return skewness (0.57%), while the worst performers were 6-day trading volume moving average (-1.24%), 5-day average turnover rate (-1.44%), and TTM gross profit margin (-1.62%) [4]. - In the CSI 500 stock pool, the top factors were quarterly ROE (1.70%), TTM gross profit margin (1.54%), and 5-day trading volume standard deviation (1.36%), with poor performers including early trading return factor (-0.39%), 5-minute return skewness (-0.44%), and log market capitalization factor (-0.73%) [4]. - In the liquidity 1500 stock pool, the best factors were 5-day reversal (1.62%), quarterly ROE (1.53%), and P/E factor (1.41%), while the worst were 6-day trading volume moving average (-0.61%), early trading return factor (-0.70%), and 5-day index moving average of trading volume (-0.72%) [4]. Industry Factor Performance - The net asset growth rate factor showed significant positive returns in the comprehensive industry, while the net profit growth rate factor performed well across the same sector [5]. - The 5-day momentum factor exhibited strong momentum effects in the comprehensive, steel, and public utility industries, while reversal effects were notable in non-bank financials, non-ferrous metals, and telecommunications [5]. - Valuation factors like BP factor performed well in the comprehensive, steel, and banking industries, while EP factor excelled in the comprehensive, media, and non-bank financial sectors [5]. Strategy Performance - The PB-ROE-50 combination achieved excess returns across various stock pools, with excess returns of 1.17% in the CSI 500 pool, 1.21% in the CSI 800 pool, and 1.36% in the overall market stock pool [6]. - Public fund research selection strategy and private fund research tracking strategy both gained positive excess returns, with public fund strategy achieving 0.02% excess return relative to CSI 800 and private fund strategy achieving 0.25% [7]. - The block trading combination experienced a relative excess return drawdown of -0.24% compared to the CSI All Index [8]. - The directed issuance combination also faced a relative excess return drawdown of -0.69% compared to the CSI All Index [9].

Quantitative Models and Construction Methods - **Model Name**: PB-ROE-50 **Model Construction Idea**: The model combines Price-to-Book ratio (PB) and Return on Equity (ROE) to select stocks with high profitability and reasonable valuation[3][25] **Model Construction Process**: The PB-ROE-50 portfolio is constructed by selecting 50 stocks with the highest combined scores of PB and ROE within specific stock pools (e.g., CSI 500, CSI 800, and the entire market). The portfolio is rebalanced periodically to maintain its composition[25][26] **Model Evaluation**: The model demonstrates consistent excess returns across different stock pools, indicating its effectiveness in capturing profitable investment opportunities[25][26] - **Model Name**: Institutional Research Portfolio **Model Construction Idea**: The model leverages public and private institutional research data to identify stocks with potential excess returns[28] **Model Construction Process**: The portfolio is constructed based on institutional research data, with public research focusing on CSI 800 stocks and private research tracking broader market stocks. Stocks are selected based on research frequency and sentiment, and the portfolio is rebalanced monthly[28][29] **Model Evaluation**: The model shows positive excess returns, particularly for private research tracking strategies, suggesting its ability to capture valuable insights from institutional activities[28][29] - **Model Name**: Block Trade Portfolio **Model Construction Idea**: The model identifies stocks with high block trade activity and low volatility to capture potential excess returns[31] **Model Construction Process**: Stocks are selected based on "block trade transaction ratio" and "6-day transaction volatility." The portfolio is rebalanced monthly to maintain its focus on high-transaction, low-volatility stocks[31][32] **Model Evaluation**: The model's performance varies, with occasional excess return drawdowns, highlighting the need for careful monitoring and adjustment[31][32] - **Model Name**: Directed Issuance Portfolio **Model Construction Idea**: The model focuses on stocks involved in directed issuance events to capture event-driven investment opportunities[37] **Model Construction Process**: Stocks are selected based on directed issuance announcements, considering factors like market capitalization, rebalancing frequency, and position control. The portfolio is rebalanced periodically to align with event-driven dynamics[37][38] **Model Evaluation**: The model shows mixed results, with occasional excess return drawdowns, indicating the need for further refinement in capturing event-driven effects[37][38] --- Model Backtesting Results - **PB-ROE-50 Model** - CSI 500: Weekly excess return 1.17%, absolute return 1.99%[25][26] - CSI 800: Weekly excess return 1.21%, absolute return 2.58%[25][26] - Entire Market: Weekly excess return 1.36%, absolute return 2.51%[25][26] - **Institutional Research Portfolio** - Public Research: Weekly excess return 0.02%, absolute return 1.37%[28][29] - Private Research: Weekly excess return 0.25%, absolute return 1.61%[28][29] - **Block Trade Portfolio** - Weekly excess return -0.24%, absolute return 0.88%[31][32] - **Directed Issuance Portfolio** - Weekly excess return -0.69%, absolute return 0.43%[37][38] --- Quantitative Factors and Construction Methods - **Factor Name**: BP Factor **Factor Construction Idea**: The factor uses the Book-to-Price ratio to identify undervalued stocks[20] **Factor Construction Process**: BP is calculated as the inverse of the Price-to-Book ratio. Stocks with higher BP values are considered undervalued and selected for portfolios[20] **Factor Evaluation**: BP demonstrates positive returns in multiple industries, indicating its effectiveness in identifying undervalued stocks[23][24] - **Factor Name**: ROE Factor **Factor Construction Idea**: The factor measures profitability using Return on Equity[20] **Factor Construction Process**: ROE is calculated as net income divided by shareholder equity. Stocks with higher ROE values are considered more profitable and selected for portfolios[20] **Factor Evaluation**: ROE shows positive returns across various industries, highlighting its ability to capture profitable investment opportunities[23][24] - **Factor Name**: Nonlinear Market Cap Factor **Factor Construction Idea**: The factor captures the impact of market capitalization on stock returns using a nonlinear approach[20] **Factor Construction Process**: Nonlinear transformations of market capitalization are applied to identify stocks with specific size-related characteristics[20] **Factor Evaluation**: The factor shows negative returns, indicating challenges in capturing size-related effects[20] --- Factor Backtesting Results - **BP Factor** - Weekly return 0.30%[20] - **ROE Factor** - Weekly return 0.27%[20] - **Nonlinear Market Cap Factor** - Weekly return -0.31%[20] - **Scale Factor** - Weekly return -0.29%[20]

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Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Combination - **Model Construction Idea**: This model combines Price-to-Book (PB) and Return on Equity (ROE) metrics to identify stocks with strong valuation and profitability characteristics[25] - **Model Construction Process**: - The PB-ROE-50 combination is constructed by selecting stocks based on their PB and ROE metrics, emphasizing stocks with favorable valuation and profitability profiles - The portfolio is rebalanced periodically to maintain the desired exposure to these factors[25] - **Model Evaluation**: The model demonstrates significant excess returns across multiple stock pools, indicating its effectiveness in capturing valuation and profitability signals[25] 2. Model Name: Block Trade Combination - **Model Construction Idea**: This model leverages the "high transaction, low volatility" principle to identify stocks with favorable post-trade performance based on block trade characteristics[31] - **Model Construction Process**: - Stocks are selected based on two key metrics: "block trade transaction amount ratio" and "6-day transaction amount volatility" - Stocks with higher transaction ratios and lower volatility are included in the portfolio - The portfolio is rebalanced monthly to capture updated signals[31] - **Model Evaluation**: The model effectively extracts excess information from block trades, yielding consistent positive returns relative to the benchmark[31] 3. Model Name: Private Placement Combination - **Model Construction Idea**: This model focuses on the event-driven effects of private placements, considering factors such as market value and timing of announcements[37] - **Model Construction Process**: - Stocks involved in private placements are selected based on the announcement date of shareholder meetings - Adjustments are made for market value factors, rebalancing cycles, and position control to optimize the portfolio[37] - **Model Evaluation**: The model captures the investment opportunities associated with private placements, delivering notable excess returns over the benchmark[37] --- Model Backtesting Results 1. PB-ROE-50 Combination - **Excess Return**: - CSI 500: 0.45% (weekly), 2.64% (YTD)[26] - CSI 800: 1.87% (weekly), 3.86% (YTD)[26] - All Market: 3.35% (weekly), 5.86% (YTD)[26] - **Absolute Return**: - CSI 500: 2.38% (weekly), 3.30% (YTD)[26] - CSI 800: 2.20% (weekly), 2.83% (YTD)[26] - All Market: 4.72% (weekly), 7.74% (YTD)[26] 2. Block Trade Combination - **Excess Return**: 0.41% (weekly), 23.89% (YTD)[32] - **Absolute Return**: 1.89% (weekly), 26.09% (YTD)[32] 3. Private Placement Combination - **Excess Return**: 1.97% (weekly), 6.08% (YTD)[38] - **Absolute Return**: 3.48% (YTD)[38] --- Quantitative Factors and Construction Methods 1. Factor Name: Total Asset Growth Rate - **Factor Construction Idea**: Measures the growth in total assets to capture expansion potential[12] - **Factor Construction Process**: - Calculated as the percentage change in total assets over a specified period - Adjusted for industry and market capitalization effects to isolate the factor signal[12] - **Factor Evaluation**: Demonstrates strong positive returns across multiple stock pools, indicating its effectiveness in identifying growth opportunities[12][18] 2. Factor Name: Single-Quarter ROA - **Factor Construction Idea**: Reflects the profitability of assets on a quarterly basis[12] - **Factor Construction Process**: - Calculated as net income divided by total assets for a single quarter - Adjusted for industry and market capitalization effects to enhance signal clarity[12] - **Factor Evaluation**: Consistently positive performance across stock pools, highlighting its robustness in capturing profitability signals[12][18] 3. Factor Name: Single-Quarter Revenue Growth Rate - **Factor Construction Idea**: Tracks the growth in revenue on a quarterly basis to identify companies with improving top-line performance[12] - **Factor Construction Process**: - Calculated as the percentage change in revenue compared to the same quarter in the previous year - Adjusted for industry and market capitalization effects to ensure comparability[12] - **Factor Evaluation**: Strong positive returns in multiple stock pools, validating its ability to capture growth momentum[12][18] --- Factor Backtesting Results 1. Total Asset Growth Rate - **Excess Return**: - CSI 300: 2.23% (weekly)[12] - CSI 500: 1.26% (weekly)[14] - Liquidity 1500: 2.67% (weekly)[18] 2. Single-Quarter ROA - **Excess Return**: - CSI 300: 1.58% (weekly)[12] - CSI 500: -0.44% (weekly)[15] - Liquidity 1500: 0.88% (weekly)[19] 3. Single-Quarter Revenue Growth Rate - **Excess Return**: - CSI 300: 1.78% (weekly)[12] - CSI 500: 0.58% (weekly)[15] - Liquidity 1500: 2.13% (weekly)[19]