- The momentum factor, leverage factor, and residual volatility factor achieved positive returns of 0.52%, 0.31%, and 0.29% respectively, indicating a market momentum effect [1][18] - The size factor, profitability factor, and liquidity factor achieved negative returns of -0.72%, -0.27%, and -0.22% respectively, indicating a small-cap market style [1][18] - In the CSI 300 stock pool, the best-performing factors this week were the momentum spring factor (1.20%), 5-day reversal (1.18%), and post-morning return factor (1.01%) [1][12] - In the CSI 500 stock pool, the best-performing factors this week were the momentum spring factor (2.73%), post-morning return factor (1.95%), and single-quarter operating profit year-on-year growth rate (1.25%) [1][14] - In the liquidity 1500 stock pool, the best-performing factors this week were the post-morning return factor (1.41%), single-quarter operating profit year-on-year growth rate (1.37%), and single-quarter ROA year-on-year (1.19%) [1][16] - The PB-ROE-50 portfolio achieved positive excess returns in the CSI 800 stock pool and the entire market stock pool, with excess returns of 0.12% and 0.03% respectively [2][24] - The public fund research stock selection strategy and private fund research tracking strategy both achieved positive excess returns, with the public fund research stock selection strategy achieving an excess return of 0.73% relative to the CSI 800, and the private fund research tracking strategy achieving an excess return of 0.20% relative to the CSI 800 [2][26] - The block trade portfolio achieved a negative excess return of -0.10% relative to the CSI All Share Index [2][30] - The directed issuance portfolio achieved a positive excess return of 1.86% relative to the CSI All Share Index [2][36]

- The report tracks the performance of various factors in different stock pools, including the CSI 300, CSI 500, and Liquidity 1500 stock pools[1][2][3] - In the CSI 300 stock pool, the best-performing factors this week were Operating Cash Flow Ratio (1.68%), 5-day Exponential Moving Average of Volume (1.19%), and Total Asset Gross Profit Margin TTM (0.93%)[12] - In the CSI 500 stock pool, the best-performing factors this week were Downside Volatility Ratio (3.30%), PE Ratio Factor (3.24%), and PE Ratio TTM Reciprocal (3.06%)[14] - In the Liquidity 1500 stock pool, the best-performing factors this week were PE Ratio TTM Reciprocal (1.56%), PB Ratio Factor (1.33%), and Quarterly EPS (0.65%)[16] - The PB-ROE-50 portfolio achieved positive excess returns in the CSI 500 stock pool (0.77%) but negative excess returns in the CSI 800 stock pool (-1.15%) and the overall market stock pool (-1.79%)[23][24] - The institutional research portfolio tracking showed that the public research stock selection strategy achieved positive excess returns (0.26%) relative to the CSI 800, while the private research tracking strategy achieved negative excess returns (-2.32%)[25][26] - The block trading portfolio achieved positive excess returns (0.92%) relative to the CSI All Share Index[29][30] - The directed issuance portfolio achieved negative excess returns (-0.87%) relative to the CSI All Share Index[35][36]

Quantitative Factors and Construction Methods 1. **Factor Name**: Earnings Yield (Inverse of PE TTM) - **Factor Construction Idea**: This factor is based on the valuation metric of earnings yield, which is the inverse of the price-to-earnings ratio (PE TTM). It aims to capture undervalued stocks with high earnings relative to their price. [12][14][16] - **Factor Construction Process**: The factor is calculated as the reciprocal of the trailing twelve months (TTM) price-to-earnings ratio. - **Factor Evaluation**: The factor showed strong positive performance across multiple stock pools, indicating its effectiveness in identifying undervalued stocks. [12][14][16] 2. **Factor Name**: Price-to-Earnings Ratio (PE) - **Factor Construction Idea**: This factor uses the traditional valuation metric of the price-to-earnings ratio to identify undervalued stocks. [12][14][16] - **Factor Construction Process**: The factor is directly derived from the price-to-earnings ratio of stocks. - **Factor Evaluation**: The factor demonstrated consistent positive performance across different stock pools, highlighting its robustness. [12][14][16] 3. **Factor Name**: Price-to-Book Ratio (PB) - **Factor Construction Idea**: This factor is based on the valuation metric of price-to-book ratio, aiming to identify stocks trading below their book value. [16] - **Factor Construction Process**: The factor is calculated as the market price of a stock divided by its book value per share. - **Factor Evaluation**: The factor showed positive performance, particularly in the liquidity 1500 stock pool. [16] 4. **Factor Name**: Momentum Factor - **Factor Construction Idea**: This factor captures the momentum effect in the market, where stocks with strong past performance are expected to continue performing well. [18] - **Factor Construction Process**: The factor is constructed by analyzing the past price performance of stocks over a specific period. - **Factor Evaluation**: The factor exhibited positive returns, indicating the presence of momentum effects in the market. [18] 5. **Factor Name**: Beta Factor - **Factor Construction Idea**: This factor measures the sensitivity of a stock's returns to market movements, aiming to capture systematic risk. [18] - **Factor Construction Process**: The factor is calculated as the covariance of a stock's returns with the market returns, divided by the variance of the market returns. - **Factor Evaluation**: The factor showed negative performance, suggesting that high-beta stocks underperformed during the period. [18] --- Factor Backtesting Results 1. **Earnings Yield (Inverse of PE TTM)** - **HS300 Stock Pool**: Weekly return 2.97% [12] - **CSI500 Stock Pool**: Weekly return 3.46% [14] - **Liquidity 1500 Stock Pool**: Weekly return 3.61% [16] 2. **Price-to-Earnings Ratio (PE)** - **HS300 Stock Pool**: Weekly return 2.86% [12] - **CSI500 Stock Pool**: Weekly return 3.29% [14] - **Liquidity 1500 Stock Pool**: Weekly return 2.53% [16] 3. **Price-to-Book Ratio (PB)** - **Liquidity 1500 Stock Pool**: Weekly return 1.94% [16] 4. **Momentum Factor** - **All-Market Stock Pool**: Weekly return 0.46% [18] 5. **Beta Factor** - **All-Market Stock Pool**: Weekly return -1.02% [18] --- Quantitative Models and Construction Methods 1. **Model Name**: PB-ROE-50 Portfolio - **Model Construction Idea**: This model combines the price-to-book ratio (PB) and return on equity (ROE) to construct a portfolio of 50 stocks with high ROE and low PB. [23] - **Model Construction Process**: Stocks are ranked based on their PB and ROE metrics, and the top 50 stocks are selected to form the portfolio. The portfolio is rebalanced periodically. - **Model Evaluation**: The model demonstrated positive excess returns in specific stock pools, indicating its effectiveness in identifying undervalued stocks with strong profitability. [23] 2. **Model Name**: Block Trade Portfolio - **Model Construction Idea**: This model leverages the information embedded in block trades, focusing on stocks with high block trade transaction ratios and low volatility. [29] - **Model Construction Process**: Stocks are selected based on the "high transaction, low volatility" principle, and the portfolio is rebalanced monthly. [29] - **Model Evaluation**: The model showed strong positive excess returns, highlighting the value of block trade information in stock selection. [29] 3. **Model Name**: Private Placement Portfolio - **Model Construction Idea**: This model captures the event-driven effects of private placements, focusing on stocks involved in such events. [35] - **Model Construction Process**: Stocks are selected based on private placement announcements, considering factors like market capitalization and rebalancing frequency. [35] - **Model Evaluation**: The model demonstrated positive excess returns, suggesting the continued relevance of private placement events in stock selection. [35] --- Model Backtesting Results 1. **PB-ROE-50 Portfolio** - **CSI500 Stock Pool**: Weekly excess return 0.78% [24] - **CSI800 Stock Pool**: Weekly excess return 0.46% [24] - **All-Market Stock Pool**: Weekly excess return -0.92% [24] 2. **Block Trade Portfolio** - **All-Market Stock Pool**: Weekly excess return 1.50% [30] 3. **Private Placement Portfolio** - **All-Market Stock Pool**: Weekly excess return 2.15% [36]

- The Beta factor and valuation factor achieved positive returns of 0.66% and 0.48% respectively, while the size factor had a negative return of -0.80%[1][18] - In the CSI 300 stock pool, the best-performing factors this week were the 5-day average turnover rate (4.52%), 5-day reversal (3.17%), and price-to-book ratio factor (3.10%)[1][12] - In the CSI 500 stock pool, the best-performing factors this week were the 5-day reversal (3.80%), single-quarter operating profit growth rate (1.98%), and price-to-sales ratio TTM reciprocal (1.65%)[1][14] - In the liquidity 1500 stock pool, the best-performing factors this week were the post-morning return factor (2.18%), 5-day reversal (2.17%), and standardized unexpected income (1.77%)[2][16] - The PB-ROE-50 portfolio achieved positive excess returns in various stock pools this week, with excess returns of 1.38% in the CSI 500 stock pool, 2.54% in the CSI 800 stock pool, and 4.23% in the entire market stock pool[2][23] - The public research stock selection strategy and private research tracking strategy achieved positive excess returns this week, with the public research stock selection strategy achieving an excess return of 0.61% relative to the CSI 800, and the private research tracking strategy achieving an excess return of 3.43% relative to the CSI 800[3][25] - The block trading portfolio achieved a positive excess return of 0.86% relative to the CSI All Share Index this week[3][29] - The directed issuance portfolio achieved a positive excess return of 1.32% relative to the CSI All Share Index this week[3][35]

Quantitative Models and Construction Methods - **Model Name**: PB-ROE-50 **Model Construction Idea**: The model is based on the combination of Price-to-Book ratio (PB) and Return on Equity (ROE) to select stocks with high profitability and reasonable valuation[23] **Model Construction Process**: The PB-ROE-50 portfolio is constructed by selecting stocks with the top 50 combined scores of PB and ROE. The portfolio is rebalanced periodically, and adjustments are made based on the stock universe of different indices such as CSI 500 and CSI 800[23] **Model Evaluation**: The model demonstrates positive excess returns in specific stock pools, indicating its effectiveness in capturing value and profitability factors[23] - **Model Name**: Block Trade Portfolio **Model Construction Idea**: The model is based on the principle that stocks with higher block trade transaction ratios and lower 6-day transaction amount volatility tend to perform better subsequently[29] **Model Construction Process**: The portfolio is constructed by selecting stocks with high block trade transaction ratios and low 6-day transaction amount volatility. The portfolio is rebalanced monthly[29] **Model Evaluation**: The model captures the information embedded in block trades, but its performance varies depending on market conditions[29] - **Model Name**: Private Placement Portfolio **Model Construction Idea**: The model is based on the event-driven strategy of private placements, considering factors such as market capitalization, rebalancing cycles, and position control[35] **Model Construction Process**: The portfolio is constructed using the announcement date of private placements as the event trigger. Stocks are selected based on their market capitalization and other factors, and the portfolio is rebalanced periodically[35] **Model Evaluation**: The model's performance is influenced by regulatory changes and market sentiment, showing mixed results in different periods[35] --- Model Backtesting Results - **PB-ROE-50 Model** - CSI 500: Weekly excess return 0.76%, absolute return 1.71%; YTD excess return 2.84%, absolute return 27.48%[24] - CSI 800: Weekly excess return 0.21%, absolute return 1.40%; YTD excess return 15.39%, absolute return 36.63%[24] - All Market: Weekly excess return -0.09%, absolute return 0.68%; YTD excess return 18.22%, absolute return 43.75%[24] - **Block Trade Portfolio** - Weekly excess return -0.16%, absolute return 0.61%; YTD excess return 39.03%, absolute return 69.06%[30] - **Private Placement Portfolio** - Weekly excess return -2.30%, absolute return -1.55%; YTD excess return -5.43%, absolute return 15.00%[36] --- Quantitative Factors and Construction Methods - **Factor Name**: Profitability Factor (e.g., ROA, ROE) **Factor Construction Idea**: Measures the company's profitability and operational efficiency, such as Return on Assets (ROA) and Return on Equity (ROE)[12][13][14] **Factor Construction Process**: - ROA: Calculated as $ \text{ROA} = \frac{\text{Net Income}}{\text{Total Assets}} $ - ROE: Calculated as $ \text{ROE} = \frac{\text{Net Income}}{\text{Shareholder's Equity}} $ **Factor Evaluation**: Profitability factors generally show positive returns, especially in CSI 300 and CSI 500 stock pools[12][14] - **Factor Name**: Valuation Factor (e.g., PB, PE, EP) **Factor Construction Idea**: Reflects the valuation level of stocks, such as Price-to-Book ratio (PB), Price-to-Earnings ratio (PE), and Earnings Yield (EP)[12][14][16] **Factor Construction Process**: - PB: Calculated as $ \text{PB} = \frac{\text{Market Price per Share}}{\text{Book Value per Share}} $ - PE: Calculated as $ \text{PE} = \frac{\text{Market Price per Share}}{\text{Earnings per Share}} $ - EP: Calculated as $ \text{EP} = \frac{\text{Earnings per Share}}{\text{Market Price per Share}} $ **Factor Evaluation**: Valuation factors like PB and EP show significant positive returns in multiple industries[21] - **Factor Name**: Momentum Factor (e.g., 5-day Reversal, 1-month Momentum) **Factor Construction Idea**: Captures the trend-following or reversal behavior in stock prices over short-term periods[12][14][16] **Factor Construction Process**: - 5-day Reversal: Measures the return reversal over the past 5 days - 1-month Momentum: Measures the cumulative return over the past month **Factor Evaluation**: Momentum factors show mixed performance, with some negative returns in specific stock pools[12][14][16] - **Factor Name**: Liquidity Factor (e.g., Turnover Rate, Transaction Amount Volatility) **Factor Construction Idea**: Reflects the liquidity characteristics of stocks, such as turnover rate and transaction amount volatility[12][14][16] **Factor Construction Process**: - Turnover Rate: Calculated as $ \text{Turnover Rate} = \frac{\text{Trading Volume}}{\text{Total Shares Outstanding}} $ - Transaction Amount Volatility: Standard deviation of transaction amounts over a specific period **Factor Evaluation**: Liquidity factors generally show positive returns, especially in the CSI 500 and liquidity 1500 stock pools[12][14][16] --- Factor Backtesting Results - **Profitability Factors** - ROA: Weekly return 1.43% (CSI 300), 0.78% (CSI 500), 1.01% (Liquidity 1500)[12][14][16] - ROE: Weekly return 1.32% (CSI 300), 0.94% (CSI 500), 0.71% (Liquidity 1500)[12][14][16] - **Valuation Factors** - PB: Weekly return 0.67% (CSI 300), 0.77% (CSI 500), 1.06% (Liquidity 1500)[12][14][16] - EP: Weekly return -0.37% (CSI 300), 0.17% (CSI 500), 0.84% (Liquidity 1500)[12][14][16] - **Momentum Factors** - 5-day Reversal: Weekly return -1.25% (CSI 300), -0.48% (CSI 500), -1.44% (Liquidity 1500)[12][14][16] - 1-month Momentum: Weekly return 0.45% (CSI 300), 0.59% (CSI 500), 1.20% (Liquidity 1500)[12][14][16] - **Liquidity Factors** - Turnover Rate: Weekly return 0.75% (CSI 300), 1.68% (CSI 500), 0.84% (Liquidity 1500)[12][14][16] - Transaction Amount Volatility: Weekly return 0.47% (CSI 300), 1.01% (CSI 500), 0.56% (Liquidity 1500)[12][14][16]

Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Combination - **Model Construction Idea**: The PB-ROE-50 combination is designed to capture excess returns by selecting stocks with favorable Price-to-Book (PB) and Return on Equity (ROE) characteristics[25] - **Model Construction Process**: The model selects stocks based on PB and ROE metrics, with adjustments for market capitalization and rebalancing on a periodic basis. The detailed construction process is referenced in a prior report[25][26] - **Model Evaluation**: The model demonstrated significant excess returns across different stock pools during the analyzed period, indicating its effectiveness in identifying profitable investment opportunities[25][26] 2. Model Name: Institutional Research Combination - **Model Construction Idea**: This model leverages the insights from public and private institutional research to identify stocks with potential for excess returns[28] - **Model Construction Process**: The model uses a strategy that tracks stocks selected by public and private institutional research, with adjustments made relative to the CSI 800 index. The methodology is detailed in prior reports[28] - **Model Evaluation**: The model showed strong performance, achieving positive excess returns, which highlights the value of institutional research in stock selection[28][29] 3. Model Name: Block Trade Combination - **Model Construction Idea**: This model identifies stocks with high block trade activity and low volatility, which are likely to outperform[32] - **Model Construction Process**: The model is constructed based on the "high transaction, low volatility" principle, using monthly rebalancing. The detailed methodology is outlined in a prior report[32] - **Model Evaluation**: The model effectively captures excess returns, demonstrating the informational value of block trade activity[32][33] 4. Model Name: Private Placement Combination - **Model Construction Idea**: This model focuses on stocks involved in private placement events, aiming to capture event-driven excess returns[38] - **Model Construction Process**: The model is constructed by considering factors such as market capitalization, rebalancing cycles, and position control, with the private placement announcement date as the key event. The detailed methodology is provided in a prior report[38] - **Model Evaluation**: The model showed a slight negative excess return during the analyzed period, suggesting limited effectiveness in the current market environment[38][39] --- Model Backtesting Results 1. PB-ROE-50 Combination - Weekly excess return: CSI 500: 0.47%, CSI 800: 1.54%, All-market: 1.59%[25][26] - Year-to-date excess return: CSI 500: 2.06%, CSI 800: 15.14%, All-market: 18.32%[26] 2. Institutional Research Combination - Weekly excess return: Public research: 3.63%, Private research: 3.32%[28][29] - Year-to-date excess return: Public research: 16.50%, Private research: 15.79%[29] 3. Block Trade Combination - Weekly excess return: 2.93%[32][33] - Year-to-date excess return: 39.24%[33] 4. Private Placement Combination - Weekly excess return: -0.01%[38][39] - Year-to-date excess return: -3.70%[39] --- Quantitative Factors and Construction Methods 1. Factor Name: Momentum Spring Factor - **Factor Construction Idea**: Captures momentum effects by identifying stocks with strong recent performance trends[12][13] - **Factor Construction Process**: The factor is calculated based on recent price movements, adjusted for market and sector effects. The exact formula is not provided in the report[12][13] - **Factor Evaluation**: Demonstrated strong positive returns across multiple stock pools, indicating its effectiveness in capturing momentum effects[12][13] 2. Factor Name: Early Morning Return Factor - **Factor Construction Idea**: Measures the return performance of stocks during the early trading hours[12][13] - **Factor Construction Process**: The factor is calculated by isolating returns during the early trading hours and adjusting for market and sector influences[12][13] - **Factor Evaluation**: Showed consistent positive returns, highlighting its potential as a predictive factor[12][13] 3. Factor Name: Single Quarter ROA - **Factor Construction Idea**: Focuses on the return on assets (ROA) for a single quarter to identify efficient companies[12][13] - **Factor Construction Process**: The factor is derived from quarterly financial reports, specifically the ratio of net income to total assets, adjusted for market and sector effects[12][13] - **Factor Evaluation**: Demonstrated positive returns, indicating its utility in identifying fundamentally strong companies[12][13] --- Factor Backtesting Results 1. Momentum Spring Factor - Weekly return: CSI 300: 2.26%, CSI 500: 2.56%, Liquidity 1500: 3.25%[12][13][19] - Monthly return: CSI 300: 3.00%, CSI 500: 0.55%, Liquidity 1500: -0.79%[13][15][19] - Year-to-date return: CSI 300: 8.96%, CSI 500: 5.35%, Liquidity 1500: 9.79%[13][15][19] 2. Early Morning Return Factor - Weekly return: CSI 300: 1.88%, CSI 500: 2.66%, Liquidity 1500: 3.21%[12][13][19] - Monthly return: CSI 300: 1.48%, CSI 500: 1.81%, Liquidity 1500: 0.66%[13][15][19] - Year-to-date return: CSI 300: 4.90%, CSI 500: 4.18%, Liquidity 1500: 11.40%[13][15][19] 3. Single Quarter ROA - Weekly return: CSI 300: 1.90%, CSI 500: -0.90%, Liquidity 1500: 0.68%[12][13][19] - Monthly return: CSI 300: 1.19%, CSI 500: 0.47%, Liquidity 1500: -1.20%[13][15][19] - Year-to-date return: CSI 300: 20.46%, CSI 500: -3.19%, Liquidity 1500: 10.47%[13][15][19]

Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 - **Model Construction Idea**: This model aims to combine the Price-to-Book (PB) ratio and Return on Equity (ROE) to create a portfolio of 50 stocks[23] - **Model Construction Process**: The model selects stocks based on their PB and ROE values, aiming to balance valuation and profitability. The portfolio is rebalanced periodically to maintain the desired characteristics[23] - **Model Evaluation**: The model's performance is tracked across different stock pools, showing its effectiveness in various market conditions[23] - **Model Test Results**: - **CSI 500**: Weekly excess return -1.30%, YTD excess return 1.58%, weekly absolute return -7.01%, YTD absolute return 20.95%[24] - **CSI 800**: Weekly excess return -2.09%, YTD excess return 13.40%, weekly absolute return -6.31%, YTD absolute return 30.05%[24] - **All Market**: Weekly excess return -1.46%, YTD excess return 16.48%, weekly absolute return -6.44%, YTD absolute return 36.70%[24] 2. Model Name: Institutional Research Portfolio - **Model Construction Idea**: This model tracks the stock selection strategies of public and private institutional research[25] - **Model Construction Process**: The model is constructed based on the stock picks of institutional investors, adjusting the portfolio based on their research and investment decisions[25] - **Model Evaluation**: The model's performance is evaluated by comparing its returns to the CSI 800 index[25] - **Model Test Results**: - **Public Research Stock Selection**: Weekly excess return -1.91%, YTD excess return 12.42%, weekly absolute return -6.14%, YTD absolute return 28.92%[26] - **Private Research Tracking**: Weekly excess return -3.65%, YTD excess return 12.06%, weekly absolute return -7.80%, YTD absolute return 28.51%[26] 3. Model Name: Block Trade Portfolio - **Model Construction Idea**: This model leverages the information from block trades, focusing on stocks with high transaction amounts and low volatility[29] - **Model Construction Process**: The portfolio is constructed based on the "high transaction, low volatility" principle, with monthly rebalancing[29] - **Model Evaluation**: The model's performance is tracked relative to the CSI All Share Index[29] - **Model Test Results**: - **Weekly excess return**: -2.84%[30] - **YTD excess return**: 35.29%[30] - **Weekly absolute return**: -7.75%[30] - **YTD absolute return**: 58.77%[30] 4. Model Name: Private Placement Portfolio - **Model Construction Idea**: This model analyzes the event effects of private placements to identify investment opportunities[35] - **Model Construction Process**: The portfolio is constructed around the announcement dates of private placements, considering factors like market capitalization and rebalancing cycles[35] - **Model Evaluation**: The model's performance is evaluated relative to the CSI All Share Index[35] - **Model Test Results**: - **Weekly excess return**: -1.42%[36] - **YTD excess return**: -3.89%[36] - **Weekly absolute return**: -6.40%[36] - **YTD absolute return**: 12.80%[36] Quantitative Factors and Construction Methods 1. Factor Name: Intraday Volatility and Trading Volume Correlation - **Factor Construction Idea**: This factor measures the correlation between intraday volatility and trading volume[12] - **Factor Construction Process**: The factor is calculated by correlating the intraday price volatility with the trading volume over a specified period[12] - **Factor Evaluation**: The factor shows positive returns in the CSI 300 stock pool[12] - **Factor Test Results**: - **Weekly return**: 1.23%[13] - **Monthly return**: 3.14%[13] - **Annual return**: -2.31%[13] - **10-year return**: 22.87%[13] 2. Factor Name: ROE Stability - **Factor Construction Idea**: This factor measures the stability of a company's Return on Equity over time[12] - **Factor Construction Process**: The factor is calculated by assessing the variance in ROE over a specified period[12] - **Factor Evaluation**: The factor shows positive returns in the CSI 300 stock pool[12] - **Factor Test Results**: - **Weekly return**: 1.14%[13] - **Monthly return**: 1.82%[13] - **Annual return**: 0.95%[13] - **10-year return**: 3.68%[13] 3. Factor Name: Downside Volatility Proportion - **Factor Construction Idea**: This factor measures the proportion of downside volatility in the total volatility of a stock[12] - **Factor Construction Process**: The factor is calculated by dividing the downside volatility by the total volatility over a specified period[12] - **Factor Evaluation**: The factor shows positive returns in the CSI 300 stock pool[12] - **Factor Test Results**: - **Weekly return**: 1.13%[13] - **Monthly return**: 2.09%[13] - **Annual return**: -6.82%[13] - **10-year return**: 30.09%[13] 4. Factor Name: Single Quarter Total Asset Gross Profit Margin - **Factor Construction Idea**: This factor measures the gross profit margin of a company's total assets for a single quarter[14] - **Factor Construction Process**: The factor is calculated by dividing the gross profit by the total assets for a single quarter[14] - **Factor Evaluation**: The factor shows positive returns in the CSI 500 stock pool[14] - **Factor Test Results**: - **Weekly return**: 1.82%[15] - **Monthly return**: -0.84%[15] - **Annual return**: 6.56%[15] - **10-year return**: 82.05%[15] 5. Factor Name: Net Profit Margin TTM - **Factor Construction Idea**: This factor measures the trailing twelve months (TTM) net profit margin of a company[16] - **Factor Construction Process**: The factor is calculated by dividing the net profit by the total revenue for the trailing twelve months[16] - **Factor Evaluation**: The factor shows positive returns in the Liquidity 1500 stock pool[16] - **Factor Test Results**: - **Weekly return**: 1.82%[17] - **Monthly return**: -0.58%[17] - **Annual return**: 1.94%[17] - **10-year return**: -17.46%[17] Factor Backtest Results CSI 300 Stock Pool - **Intraday Volatility and Trading Volume Correlation**: Weekly return 1.23%, monthly return 3.14%, annual return -2.31%, 10-year return 22.87%[13] - **ROE Stability**: Weekly return 1.14%, monthly return 1.82%, annual return 0.95%, 10-year return 3.68%[13] - **Downside Volatility Proportion**: Weekly return 1.13%, monthly return 2.09%, annual return -6.82%, 10-year return 30.09%[13] CSI 500 Stock Pool - **Single Quarter Total Asset Gross Profit Margin**: Weekly return 1.82%, monthly return -0.84%, annual return 6.56%, 10-year return 82.05%[15] Liquidity 1500 Stock Pool - **Net Profit Margin TTM**: Weekly return 1.82%, monthly return -0.58%, annual return 1.94%, 10-year return -17.46%[17]

Quantitative Models and Construction Methods 1. Model Name: PB-ROE-50 Combination - **Model Construction Idea**: The PB-ROE-50 combination is constructed based on the principle of selecting stocks with low price-to-book (PB) ratios and high return on equity (ROE), aiming to capture value and profitability factors[25] - **Model Construction Process**: - Stocks are selected based on their PB and ROE metrics - The portfolio is rebalanced periodically to maintain the desired exposure to these factors - The construction details are referenced in earlier reports[25][26] - **Model Evaluation**: The model experienced a drawdown in excess returns across all stock pools during the week, indicating potential short-term underperformance[25] --- Model Backtesting Results 1. PB-ROE-50 Combination - **Excess Return**: - CSI 500: -0.23% this week, 2.92% year-to-date - CSI 800: -0.98% this week, 15.82% year-to-date - Full Market: -1.39% this week, 18.21% year-to-date[26] - **Absolute Return**: - CSI 500: -1.49% this week, 30.06% year-to-date - CSI 800: -2.10% this week, 38.80% year-to-date - Full Market: -1.91% this week, 46.11% year-to-date[26] --- Quantitative Factors and Construction Methods 1. Factor Name: Residual Volatility Factor - **Factor Construction Idea**: Captures the residual volatility of stocks after controlling for market and sector effects, aiming to identify stocks with stable performance[20] - **Factor Construction Process**: - Calculate the residual volatility of stock returns after regressing against market and sector returns - Rank stocks based on their residual volatility and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered positive returns this week, indicating its effectiveness in capturing stable stocks during the period[20] 2. Factor Name: Leverage Factor - **Factor Construction Idea**: Measures the financial leverage of companies, aiming to capture the risk-return tradeoff associated with leverage[20] - **Factor Construction Process**: - Calculate the leverage ratio of companies (e.g., debt-to-equity ratio) - Rank stocks based on their leverage and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered positive returns this week, suggesting its relevance in the current market environment[20] 3. Factor Name: Beta Factor - **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market returns, aiming to capture systematic risk[20] - **Factor Construction Process**: - Calculate the beta of stocks using historical return data - Rank stocks based on their beta and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered negative returns this week, indicating underperformance in the current market environment[20] 4. Factor Name: Size Factor - **Factor Construction Idea**: Captures the size effect by focusing on small-cap stocks, which tend to outperform large-cap stocks over time[20] - **Factor Construction Process**: - Rank stocks based on their market capitalization - Construct a portfolio with a tilt towards smaller-cap stocks[20] - **Factor Evaluation**: The factor delivered negative returns this week, despite the general preference for small-cap stocks in the market[20] 5. Factor Name: Momentum Factor - **Factor Construction Idea**: Captures the momentum effect by focusing on stocks with strong recent performance[20] - **Factor Construction Process**: - Calculate the past returns of stocks over a specific period (e.g., 6 months or 12 months) - Rank stocks based on their momentum and construct a portfolio with the desired exposure[20] - **Factor Evaluation**: The factor delivered negative returns this week, indicating a reversal effect in the market[20] --- Factor Backtesting Results 1. Residual Volatility Factor - Weekly Return: 0.50%[20] 2. Leverage Factor - Weekly Return: 0.36%[20] 3. Beta Factor - Weekly Return: -1.10%[20] 4. Size Factor - Weekly Return: -0.92%[20] 5. Momentum Factor - Weekly Return: -0.70%[20]

- **Quantitative factors tracked** - Single factor performance: In the CSI 300 stock pool, the best-performing factors this week include PE TTM inverse (3.05%), PE factor (2.30%), and PB factor (2.06%) [12][13] - In the CSI 500 stock pool, the best-performing factors include PE TTM inverse (2.71%), PB factor (2.07%), and PE factor (1.74%) [14][15] - In the liquidity 1500 stock pool, the best-performing factors include PE TTM inverse (1.74%), PE factor (1.68%), and PB factor (1.34%) [16][17] - **Sector-specific factor performance** - Fundamental factors such as net asset growth rate, net profit growth rate, per-share net asset factor, and per-share operating profit TTM factor achieved positive returns in the oil and petrochemical sector [21][22] - Valuation factors like BP factor performed well across most industries [21][22] - Residual volatility factor and liquidity factor showed significant positive returns in the comprehensive industry [21][22] - **Factor classification and market trends** - Broad market factor performance: Valuation factors achieved positive returns of 0.40%, while market capitalization factors and non-linear market capitalization factors recorded negative returns of -0.72% and -0.40%, respectively, indicating a small-cap style market trend [18][20] - Momentum factor and Beta factor recorded negative returns of -0.79% and -0.43%, respectively, reflecting a reversal effect in the market [18][20] - **Quantitative portfolio tracking** - PB-ROE-50 portfolio: This week, the portfolio achieved excess returns of 1.00% in the CSI 500 stock pool, 0.48% in the CSI 800 stock pool, and -2.00% in the broad market stock pool [23][24] - Institutional research portfolio: The public fund research stock selection strategy achieved excess returns of 0.00% relative to the CSI 800, while the private fund research tracking strategy recorded excess returns of -1.96% relative to the CSI 800 [25][26] - Block trading portfolio: Constructed based on the principle of "high transaction volume, low volatility," this portfolio achieved excess returns of 1.08% relative to the CSI All Share Index this week [29][30] - Private placement portfolio: Built around the event-driven strategy of targeted placements, this portfolio achieved excess returns of 1.93% relative to the CSI All Share Index this week [35][36] - **Performance metrics of quantitative portfolios** - PB-ROE-50 portfolio: Weekly excess return of 1.00% in CSI 500, 0.48% in CSI 800, and -2.00% in the broad market [24] - Institutional research portfolio: Weekly excess return of 0.00% for public fund research stock selection and -1.96% for private fund research tracking [26] - Block trading portfolio: Weekly excess return of 1.08% [30] - Private placement portfolio: Weekly excess return of 1.93% [36]

Quantitative Models and Construction Methods Factor Performance Tracking Single Factor Performance - Factors with the best performance in the CSI 300 stock pool this week include the standard deviation of 5-day trading volume (2.12%), the proportion of downside volatility (1.78%), and the 5-day exponential moving average of trading volume (1.35%) [1][12] - Factors with the worst performance in the CSI 300 stock pool this week include the 5-day reversal (-3.60%), single-quarter total asset gross profit margin (-3.43%), and single-quarter ROA (-3.38%) [1][12] - Factors with the best performance in the CSI 500 stock pool this week include the inverse of the P/E ratio TTM (3.99%), the proportion of downside volatility (3.80%), and the P/E ratio factor (3.17%) [14] - Factors with the worst performance in the CSI 500 stock pool this week include the 5-day reversal (-1.95%), 5-day average turnover rate (-1.17%), and the 5-day exponential moving average of trading volume (-1.15%) [14] - Factors with the best performance in the liquidity 1500 stock pool this week include the correlation between intraday volatility and trading volume (2.27%), the proportion of downside volatility (1.80%), and the P/B ratio factor (1.51%) [16] - Factors with the worst performance in the liquidity 1500 stock pool this week include single-quarter EPS (-1.36%), standardized unexpected income (-1.29%), and the 5-day reversal (-1.25%) [16] Major Factor Performance - In the overall market stock pool this week, the momentum factor achieved a positive return of 0.43%, indicating a momentum effect in the market [18] - The Beta factor, market capitalization factor, and non-linear market capitalization factor achieved negative returns of -1.50%, -0.91%, and -0.54%, respectively, indicating a small-cap style in the market [18] Industry Factor Performance - This week, fundamental factors showed varied performance across industries. The net asset growth rate factor, net profit growth rate factor, net asset per share factor, and operating profit per share TTM factor consistently achieved positive returns in the non-bank financial industry [22] - Among valuation factors, the BP factor and EP factor consistently achieved positive returns in the home appliances, comprehensive, and non-bank financial industries [22] - The residual volatility factor and liquidity factor showed significant positive returns in the coal industry [22] - In terms of market capitalization style, the food and beverage, beauty care, and banking industries showed a significant large-cap style this week [22] Factor Backtesting Results CSI 300 Stock Pool - Standard deviation of 5-day trading volume: 2.12% (1 week), 3.52% (1 month), 8.21% (1 year), 19.07% (10 years) [13] - Proportion of downside volatility: 1.78% (1 week), 0.41% (1 month), -5.44% (1 year), 25.57% (10 years) [13] - 5-day exponential moving average of trading volume: 1.35% (1 week), 1.19% (1 month), 3.70% (1 year), 5.13% (10 years) [13] CSI 500 Stock Pool - Inverse of P/E ratio TTM: 3.99% (1 week), 4.80% (1 month), -5.74% (1 year), 48.40% (10 years) [15] - Proportion of downside volatility: 3.80% (1 week), 1.56% (1 month), -3.09% (1 year), 107.51% (10 years) [15] - P/E ratio factor: 3.17% (1 week), 2.58% (1 month), -4.94% (1 year), 26.11% (10 years) [15] Liquidity 1500 Stock Pool - Correlation between intraday volatility and trading volume: 2.27% (1 week), 3.18% (1 month), 2.59% (1 year), 152.82% (10 years) [17] - Proportion of downside volatility: 1.80% (1 week), 2.97% (1 month), 5.48% (1 year), 114.63% (10 years) [17] - P/B ratio factor: 1.51% (1 week), 3.69% (1 month), -5.28% (1 year), 74.59% (10 years) [17] Portfolio Tracking PB-ROE-50 Portfolio Performance - This week, the PB-ROE-50 portfolio achieved positive excess returns in the CSI 500 stock pool: 0.15% [24] - In the CSI 800 stock pool, the PB-ROE-50 portfolio achieved excess returns of -1.50% [24] - In the overall market stock pool, the PB-ROE-50 portfolio achieved excess returns of -2.52% [24] Institutional Research Portfolio Tracking - This week, the public fund research stock selection strategy and private fund research tracking strategy achieved negative excess returns relative to the CSI 800: -0.94% and -4.83%, respectively [26] Block Trade Portfolio Tracking - This week, the block trade portfolio achieved positive excess returns relative to the CSI All Share Index: 1.56% [30] Private Placement Portfolio Tracking - This week, the private placement portfolio achieved positive excess returns relative to the CSI All Share Index: 1.86% [36]