图说金融(20250821): 中证1000、中证2000指增还能不能 1、微盘指数个股月涨跌幅的标准差可以反映个股的偏离幅度,也可反映微盘指数超额收益的获取能力; 2、在量能放大环境. 微盘指数相对小盘指数更易获取超额收益. 利于私募量化扩大定价权,并使得小市值因子占优. 风险提示:仅作为数据展示,不构成策略建议 Wind全A指数月均换手率与微盘个股月涨跌幅的标准差-中证1000个股月涨跌幅的标准差 Wind全A指数月均换手率（横轴）与微盘个股月涨跌幅的标准差-中证1000个股月涨跌幅的标准差（纵轴） 12.0 10.0 8.0 6.0 4.0 2.0 0.0 0.5 1.0 1.5 2.0 2.5 0.0 资料来源: wind 中信期货研究所 重要提示:本报告非期货交易咨询业务项下服务,其中的观点和信息仅作参考之用,不构成对任何 人的投资建议。我司不会因为关注、收到或阅读本报告内容而视相关人员为客户,市场有风险,投 资需谨慎。 免责声明:除非另有说明,中信期货有限公司(以下简称"中信期货)拥有本报告的版权/或其他 相关知识产权。未经授权、不得发送或复制本报告任何内容。中信期货对于本报告所载的信息、观 点以 ...

Quantitative Factors and Construction Methods Factor Name: BP - Construction Idea: Current net asset divided by current total market value[13] - Construction Process: $ BP = \frac{Current \ Net \ Asset}{Current \ Total \ Market \ Value} $[13] Factor Name: BP Three-Year Percentile - Construction Idea: Stock's current BP in the last three years percentile[13] - Construction Process: $ BP \ Three-Year \ Percentile = \frac{Current \ BP}{BP \ in \ Last \ Three \ Years} $[13] Factor Name: Quarterly EP - Construction Idea: Quarterly net profit divided by net asset[13] - Construction Process: $ Quarterly \ EP = \frac{Quarterly \ Net \ Profit}{Net \ Asset} $[13] Factor Name: Quarterly EP One-Year Percentile - Construction Idea: Stock's current quarterly EP in the last one year percentile[13] - Construction Process: $ Quarterly \ EP \ One-Year \ Percentile = \frac{Current \ Quarterly \ EP}{Quarterly \ EP \ in \ Last \ One \ Year} $[13] Factor Name: Quarterly SP - Construction Idea: Quarterly operating income divided by net asset[13] - Construction Process: $ Quarterly \ SP = \frac{Quarterly \ Operating \ Income}{Net \ Asset} $[13] Factor Name: Quarterly SP One-Year Percentile - Construction Idea: Stock's current quarterly SP in the last one year percentile[13] - Construction Process: $ Quarterly \ SP \ One-Year \ Percentile = \frac{Current \ Quarterly \ SP}{Quarterly \ SP \ in \ Last \ One \ Year} $[13] Factor Name: Quarterly Asset Turnover Rate - Construction Idea: Quarterly operating income divided by total asset[13] - Construction Process: $ Quarterly \ Asset \ Turnover \ Rate = \frac{Quarterly \ Operating \ Income}{Total \ Asset} $[13] Factor Name: Quarterly Gross Profit Margin - Construction Idea: Quarterly gross profit divided by quarterly sales income[13] - Construction Process: $ Quarterly \ Gross \ Profit \ Margin = \frac{Quarterly \ Gross \ Profit}{Quarterly \ Sales \ Income} $[13] Factor Name: Quarterly ROA - Construction Idea: Quarterly net profit divided by total asset[13] - Construction Process: $ Quarterly \ ROA = \frac{Quarterly \ Net \ Profit}{Total \ Asset} $[13] Factor Name: Quarterly ROE - Construction Idea: Quarterly net profit divided by net asset[13] - Construction Process: $ Quarterly \ ROE = \frac{Quarterly \ Net \ Profit}{Net \ Asset} $[13] Factor Name: Quarterly Net Profit Year-on-Year Growth - Construction Idea: Quarterly net profit year-on-year growth rate[13] - Construction Process: $ Quarterly \ Net \ Profit \ Year-on-Year \ Growth = \frac{Current \ Quarterly \ Net \ Profit - Last \ Year \ Quarterly \ Net \ Profit}{Last \ Year \ Quarterly \ Net \ Profit} $[13] Factor Name: Quarterly Revenue Year-on-Year Growth - Construction Idea: Quarterly revenue year-on-year growth rate[13] - Construction Process: $ Quarterly \ Revenue \ Year-on-Year \ Growth = \frac{Current \ Quarterly \ Revenue - Last \ Year \ Quarterly \ Revenue}{Last \ Year \ Quarterly \ Revenue} $[13] Factor Name: Quarterly ROE Year-on-Year Growth - Construction Idea: Quarterly ROE year-on-year growth rate[13] - Construction Process: $ Quarterly \ ROE \ Year-on-Year \ Growth = \frac{Current \ Quarterly \ ROE - Last \ Year \ Quarterly \ ROE}{Last \ Year \ Quarterly \ ROE} $[13] Factor Name: Standardized Unexpected Earnings - Construction Idea: Current quarterly net profit minus the average quarterly net profit growth rate of the past eight quarters divided by the standard deviation of the quarterly net profit growth rate of the past eight quarters[13] - Construction Process: $ Standardized \ Unexpected \ Earnings = \frac{Current \ Quarterly \ Net \ Profit - (Last \ Year \ Quarterly \ Net \ Profit + Average \ Quarterly \ Net \ Profit \ Growth \ Rate \ of \ Past \ Eight \ Quarters)}{Standard \ Deviation \ of \ Quarterly \ Net \ Profit \ Growth \ Rate \ of \ Past \ Eight \ Quarters} $[13] Factor Name: Standardized Unexpected Revenue - Construction Idea: Current quarterly revenue minus the average quarterly revenue growth rate of the past eight quarters divided by the standard deviation of the quarterly revenue growth rate of the past eight quarters[13] - Construction Process: $ Standardized \ Unexpected \ Revenue = \frac{Current \ Quarterly \ Revenue - (Last \ Year \ Quarterly \ Revenue + Average \ Quarterly \ Revenue \ Growth \ Rate \ of \ Past \ Eight \ Quarters)}{Standard \ Deviation \ of \ Quarterly \ Revenue \ Growth \ Rate \ of \ Past \ Eight \ Quarters} $[13] Factor Name: Dividend Yield - Construction Idea: Recent annual dividend divided by current market value[13] - Construction Process: $ Dividend \ Yield = \frac{Recent \ Annual \ Dividend}{Current \ Market \ Value} $[13] Factor Name: Performance Forecast Accuracy - Construction Idea: Single quarter performance forecast upper limit minus single quarter performance forecast lower limit divided by the average of the single quarter performance forecast upper limit and lower limit multiplied by -1[13] - Construction Process: $ Performance \ Forecast \ Accuracy = \frac{Single \ Quarter \ Performance \ Forecast \ Upper \ Limit - Single \ Quarter \ Performance \ Forecast \ Lower \ Limit}{(Single \ Quarter \ Performance \ Forecast \ Upper \ Limit + Single \ Quarter \ Performance \ Forecast \ Lower \ Limit)/2} \times (-1) $[13] Factor Name: Top Five Shareholders' Holding Ratio Sum - Construction Idea: Sum of the squares of the top five shareholders' holding ratios[13] - Construction Process: $ Top \ Five \ Shareholders' \ Holding \ Ratio \ Sum = \sum_{i=1}^{5} (Holding \ Ratio_i)^2 $[13] Factor Name: 90-Day Analyst Coverage - Construction Idea: Analyst coverage in the past 90 days[13] - Construction Process: $ 90-Day \ Analyst \ Coverage = \frac{Number \ of \ Analysts \ Covering \ the \ Stock \ in \ the \ Past \ 90 \ Days}{Total \ Number \ of \ Analysts} $[13] Factor Name: Consensus Expected Net Profit Compound Growth Rate - Construction Idea: Consensus expected net profit three-year compound growth rate[13] - Construction Process: $ Consensus \ Expected \ Net \ Profit \ Compound \ Growth \ Rate = \frac{Consensus \ Expected \ Net \ Profit \ in \ Three \ Years}{Current \ Net \ Profit} $[13] Factor Name: Consensus Expected EPS Change - Construction Idea: Consensus expected EPS divided by the average consensus expected EPS in the last 120 days[13] - Construction Process: $ Consensus \ Expected \ EPS \ Change = \frac{Consensus \ Expected \ EPS}{Average \ Consensus \ Expected \ EPS \ in \ the \ Last \ 120 \ Days} $[13] Factor Name: 90-Day Net Upward Revision Ratio - Construction Idea: Ratio of analysts who revised earnings forecasts upward minus the ratio of analysts who revised earnings forecasts downward in the past 90 days[13] - Construction Process: $ 90-Day \ Net \ Upward \ Revision \ Ratio = \frac{Number \ of \ Analysts \ Revising \ Upward}{Total \ Number \ of \ Analysts} - \frac{Number \ of \ Analysts \ Revising \ Downward}{Total \ Number \ of \ Analysts} $[13] Factor Name: 90-Day Expected Adjustment Mean - Construction Idea: Average adjustment magnitude of analysts' earnings forecasts in the past 90 days[13] - Construction Process: $ 90-Day \ Expected \ Adjustment \ Mean = \frac{Sum \ of \ Analysts' \ Earnings \ Forecast \ Adjustments \ in \ the \ Past \ 90 \ Days}{Total \ Number \ of \ Analysts} $[13] Factor Name: Financial Report Exceeding Research Report Expectation Degree - Construction Idea: Degree to which the financial report exceeds the research report expectation within 5 days of the financial report release[13] - Construction Process: $ Financial \ Report \ Exceeding \ Research \ Report \ Expectation \ Degree = \frac{Financial \ Report \ Value - Research \ Report \ Expectation}{Research \ Report \ Expectation} $[13] Factor Name: Standardized Unexpected Earnings Based on Consensus Expectation - Construction Idea: Quarterly net profit minus quarterly consensus expected net profit divided by the consensus expected net profit dispersion[13] - Construction Process: $ Standardized \ Unexpected \ Earnings \ Based \ on \ Consensus \ Expectation = \frac{Quarterly \ Net \ Profit - Quarterly \ Consensus \ Expected \ Net \ Profit}{Consensus \ Expected \ Net \ Profit \ Dispersion} $[13] Factor Name: 1-Month Turnover Rate and Average Price Correlation - Construction Idea: Correlation coefficient between stock turnover rate and average price in the past 20 trading days[13] - Construction Process: $ 1-Month \ Turnover \ Rate \ and \ Average \ Price \ Correlation = \frac{Cov(Turnover \ Rate, \ Average \ Price)}{Std(Turnover \ Rate)

Quantitative Factors and Construction Methods Factor Name: bp - **Construction Idea**: Represents the valuation level of a stock by comparing its book value to its market value [13] - **Construction Process**: Calculated as: $ bp = \frac{\text{Current Net Asset}}{\text{Current Total Market Value}} $ [13] Factor Name: bp three-year percentile - **Construction Idea**: Measures the relative valuation of a stock over the past three years [13] - **Construction Process**: Represents the percentile rank of the current bp value within the last three years [13] Factor Name: Quarterly ep - **Construction Idea**: Evaluates profitability by comparing quarterly net profit to net assets [13] - **Construction Process**: Calculated as: $ \text{Quarterly ep} = \frac{\text{Quarterly Net Profit}}{\text{Net Assets}} $ [13] Factor Name: Quarterly ep one-year percentile - **Construction Idea**: Tracks the relative profitability of a stock over the past year [13] - **Construction Process**: Represents the percentile rank of the current quarterly ep value within the last year [13] Factor Name: Quarterly sp - **Construction Idea**: Measures operational efficiency by comparing quarterly revenue to net assets [13] - **Construction Process**: Calculated as: $ \text{Quarterly sp} = \frac{\text{Quarterly Revenue}}{\text{Net Assets}} $ [13] Factor Name: Quarterly sp one-year percentile - **Construction Idea**: Tracks the relative operational efficiency of a stock over the past year [13] - **Construction Process**: Represents the percentile rank of the current quarterly sp value within the last year [13] Factor Name: Quarterly net profit YoY growth - **Construction Idea**: Measures the growth rate of quarterly net profit compared to the same period last year [13] - **Construction Process**: Calculated as: $ \text{Quarterly Net Profit YoY Growth} = \frac{\text{Current Quarter Net Profit} - \text{Last Year Same Quarter Net Profit}}{\text{Last Year Same Quarter Net Profit}} $ [13] Factor Name: Standardized unexpected earnings - **Construction Idea**: Quantifies the deviation of current earnings from expected levels based on historical trends [13] - **Construction Process**: Calculated as: $ \text{Standardized Unexpected Earnings} = \frac{\text{Current Quarter Net Profit} - (\text{Last Year Same Quarter Net Profit} + \text{Average YoY Growth of Last 8 Quarters})}{\text{Standard Deviation of YoY Growth of Last 8 Quarters}} $ [13] Factor Name: Dividend yield - **Construction Idea**: Measures the return to shareholders through dividends relative to the stock's market value [13] - **Construction Process**: Calculated as: $ \text{Dividend Yield} = \frac{\text{Last Year Dividend}}{\text{Current Market Value}} $ [13] --- Factor Backtesting Results IC Performance - **bp**: Weekly IC = 7.22%, Monthly IC = 3.46%, Yearly IC = 1.87%, Historical IC = 2.34% [9] - **bp three-year percentile**: Weekly IC = -1.28%, Monthly IC = 1.67%, Yearly IC = 2.48%, Historical IC = 1.68% [9] - **Quarterly ep**: Weekly IC = 6.27%, Monthly IC = 0.71%, Yearly IC = -0.44%, Historical IC = 1.09% [9] - **Quarterly ep one-year percentile**: Weekly IC = 7.04%, Monthly IC = 2.84%, Yearly IC = 0.95%, Historical IC = 1.72% [9] - **Quarterly sp**: Weekly IC = 2.97%, Monthly IC = 0.68%, Yearly IC = 0.50%, Historical IC = 0.72% [9] - **Quarterly sp one-year percentile**: Weekly IC = -1.88%, Monthly IC = 2.56%, Yearly IC = 2.85%, Historical IC = 1.83% [9] - **Quarterly net profit YoY growth**: Weekly IC = 7.35%, Monthly IC = 2.60%, Yearly IC = 0.60%, Historical IC = 1.28% [9] - **Standardized unexpected earnings**: Weekly IC = 7.52%, Monthly IC = 3.04%, Yearly IC = 0.60%, Historical IC = 0.97% [9] - **Dividend yield**: Weekly IC = 3.43%, Monthly IC = 0.78%, Yearly IC = -0.36%, Historical IC = 0.61% [9] Long-only Portfolio Performance - **bp**: Weekly Excess Return = 0.39%, Monthly Excess Return = 0.53%, Yearly Excess Return = 1.50%, Historical Cumulative Excess Return = 31.88% [11] - **bp three-year percentile**: Weekly Excess Return = -0.16%, Monthly Excess Return = -1.08%, Yearly Excess Return = 0.42%, Historical Cumulative Excess Return = -2.91% [11] - **Quarterly ep**: Weekly Excess Return = 0.56%, Monthly Excess Return = 1.22%, Yearly Excess Return = 3.02%, Historical Cumulative Excess Return = 30.83% [11] - **Quarterly ep one-year percentile**: Weekly Excess Return = 0.24%, Monthly Excess Return = 0.71%, Yearly Excess Return = 3.76%, Historical Cumulative Excess Return = 32.90% [11] - **Quarterly sp**: Weekly Excess Return = -0.25%, Monthly Excess Return = 0.10%, Yearly Excess Return = 1.18%, Historical Cumulative Excess Return = -2.98% [11] - **Quarterly sp one-year percentile**: Weekly Excess Return = -0.43%, Monthly Excess Return = 0.20%, Yearly Excess Return = 8.26%, Historical Cumulative Excess Return = -0.57% [11] - **Quarterly net profit YoY growth**: Weekly Excess Return = 0.47%, Monthly Excess Return = 1.56%, Yearly Excess Return = 9.60%, Historical Cumulative Excess Return = 36.36% [11] - **Standardized unexpected earnings**: Weekly Excess Return = 0.57%, Monthly Excess Return = 0.97%, Yearly Excess Return = -3.21%, Historical Cumulative Excess Return = 7.84% [11] - **Dividend yield**: Weekly Excess Return = 0.63%, Monthly Excess Return = 1.27%, Yearly Excess Return = -4.27%, Historical Cumulative Excess Return = 12.82% [11]

Quantitative Factors and Construction Methods 1. Factor Name: Small Market Cap - **Factor Construction Idea**: This factor captures the size effect, where smaller market capitalization stocks tend to outperform larger ones over time [13] - **Factor Construction Process**: The factor is calculated as the logarithm of the market capitalization of a stock [13] - **Factor Evaluation**: The factor demonstrated strong performance in recent periods, particularly over the past week, month, and year [8][10] 2. Factor Name: Beta - **Factor Construction Idea**: This factor measures the sensitivity of a stock's returns to market returns, capturing systematic risk [13] - **Factor Construction Process**: Beta is calculated as the regression coefficient of a stock's returns against market returns over the past 490 trading days [13] - **Factor Evaluation**: The factor showed strong performance in recent periods, particularly over the past week and month [8][10] 3. Factor Name: 1-Month Specificity - **Factor Construction Idea**: This factor measures the idiosyncratic component of stock returns, independent of systematic factors [13] - **Factor Construction Process**: It is calculated as \( 1 - R^2 \), where \( R^2 \) is derived from regressing daily stock returns against the Fama-French three-factor model over the past 20 trading days [13] - **Factor Evaluation**: The factor exhibited strong performance in the past week, month, and year [8][10] 4. Factor Name: 1-Month Reversal - **Factor Construction Idea**: This factor captures the short-term reversal effect, where stocks with poor recent performance tend to rebound [13] - **Factor Construction Process**: It is calculated as the cumulative return of a stock over the past 20 trading days [13] - **Factor Evaluation**: The factor performed well over the past year [8][10] 5. Factor Name: Fama-French 1-Month Residual Volatility - **Factor Construction Idea**: This factor measures the residual volatility of stock returns after accounting for systematic factors [13] - **Factor Construction Process**: It is calculated as the standard deviation of residuals from regressing daily stock returns against the Fama-French three-factor model over the past 20 trading days [13] - **Factor Evaluation**: The factor demonstrated strong performance over the past year [8][10] --- Factor Backtesting Results 1. Small Market Cap - **IC Performance**: Weekly IC: 15.09%, Monthly IC: 6.09%, Yearly IC: 3.61%, Historical IC: 2.20% [9] - **Excess Return Performance**: Weekly: 1.67%, Monthly: 2.75%, Yearly: 18.13%, Historical Cumulative: 66.36% [11] 2. Beta - **IC Performance**: Weekly IC: 13.20%, Monthly IC: 5.67%, Yearly IC: 1.79%, Historical IC: 0.38% [9] - **Excess Return Performance**: Weekly: 1.85%, Monthly: 2.84%, Yearly: 9.25%, Historical Cumulative: -8.52% [11] 3. 1-Month Specificity - **IC Performance**: Weekly IC: 11.75%, Monthly IC: 6.36%, Yearly IC: 3.19%, Historical IC: 2.40% [9] - **Excess Return Performance**: Weekly: 1.38%, Monthly: 1.99%, Yearly: 9.59%, Historical Cumulative: 16.77% [11] 4. 1-Month Reversal - **IC Performance**: Weekly IC: 9.55%, Monthly IC: 3.46%, Yearly IC: 3.54%, Historical IC: 2.23% [9] - **Excess Return Performance**: Weekly: 1.25%, Monthly: 0.32%, Yearly: 4.73%, Historical Cumulative: -0.81% [11] 5. Fama-French 1-Month Residual Volatility - **IC Performance**: Weekly IC: 4.67%, Monthly IC: 5.09%, Yearly IC: 3.37%, Historical IC: 2.54% [9] - **Excess Return Performance**: Weekly: 0.44%, Monthly: 1.59%, Yearly: 9.67%, Historical Cumulative: 19.58% [11]

Quantitative Factors and Construction Methods 1. Factor Name: **bp** - **Factor Construction Idea**: Measures the valuation level of a stock based on its book-to-price ratio [13] - **Factor Construction Process**: Calculated as the current net asset divided by the current total market value $ bp = \frac{\text{Current Net Asset}}{\text{Current Total Market Value}} $ [13] 2. Factor Name: **bp Three-Year Percentile** - **Factor Construction Idea**: Evaluates the relative valuation of a stock over the past three years [13] - **Factor Construction Process**: Represents the percentile rank of the current bp value within the stock's bp distribution over the last three years [13] 3. Factor Name: **Quarterly EP** - **Factor Construction Idea**: Reflects the profitability of a stock relative to its equity [13] - **Factor Construction Process**: Calculated as the quarterly net profit divided by the net asset $ \text{Quarterly EP} = \frac{\text{Quarterly Net Profit}}{\text{Net Asset}} $ [13] 4. Factor Name: **Quarterly EP One-Year Percentile** - **Factor Construction Idea**: Measures the relative profitability of a stock over the past year [13] - **Factor Construction Process**: Represents the percentile rank of the current quarterly EP value within the stock's EP distribution over the last year [13] 5. Factor Name: **Quarterly SP** - **Factor Construction Idea**: Indicates the revenue generation efficiency of a stock relative to its equity [13] - **Factor Construction Process**: Calculated as the quarterly operating revenue divided by the net asset $ \text{Quarterly SP} = \frac{\text{Quarterly Operating Revenue}}{\text{Net Asset}} $ [13] 6. Factor Name: **Quarterly SP One-Year Percentile** - **Factor Construction Idea**: Evaluates the relative revenue efficiency of a stock over the past year [13] - **Factor Construction Process**: Represents the percentile rank of the current quarterly SP value within the stock's SP distribution over the last year [13] 7. Factor Name: **Fama-French Three-Factor One-Month Residual Volatility** - **Factor Construction Idea**: Measures the idiosyncratic risk of a stock based on its residual volatility after regressing against the Fama-French three-factor model [13] - **Factor Construction Process**: Calculated as the standard deviation of the residuals from the regression of daily returns over the past 20 trading days on the Fama-French three factors $ \text{Residual Volatility} = \sqrt{\frac{\sum (\text{Actual Return} - \text{Predicted Return})^2}{n}} $ where "Predicted Return" is derived from the Fama-French three-factor model [13] 8. Factor Name: **One-Month Excess Return Volatility** - **Factor Construction Idea**: Captures the volatility of a stock's excess return over the past month [13] - **Factor Construction Process**: Calculated as the standard deviation of the excess returns over the past 20 trading days $ \text{Excess Return Volatility} = \sqrt{\frac{\sum (\text{Excess Return} - \text{Mean Excess Return})^2}{n}} $ [13] --- Factor Backtesting Results IC Performance - **bp**: Weekly IC = 9.73%, Monthly IC = 2.21%, Yearly IC = 1.64%, Historical IC = 2.27% [9] - **bp Three-Year Percentile**: Weekly IC = 14.75%, Monthly IC = 3.36%, Yearly IC = 2.85%, Historical IC = 1.69% [9] - **Quarterly EP**: Weekly IC = -4.31%, Monthly IC = 0.38%, Yearly IC = -0.58%, Historical IC = 1.13% [9] - **Quarterly EP One-Year Percentile**: Weekly IC = 7.25%, Monthly IC = 3.57%, Yearly IC = 0.94%, Historical IC = 1.73% [9] - **Quarterly SP**: Weekly IC = -0.92%, Monthly IC = 0.38%, Yearly IC = 0.23%, Historical IC = 0.71% [9] - **Quarterly SP One-Year Percentile**: Weekly IC = 11.79%, Monthly IC = 4.40%, Yearly IC = 3.08%, Historical IC = 1.86% [9] - **Fama-French Three-Factor One-Month Residual Volatility**: Weekly IC = 14.50%, Monthly IC = 5.11%, Yearly IC = 3.29%, Historical IC = 2.54% [9] - **One-Month Excess Return Volatility**: Weekly IC = 14.87%, Monthly IC = 5.14%, Yearly IC = 3.26%, Historical IC = 2.22% [9] Long-Only Portfolio Excess Returns - **bp**: Weekly Excess Return = 0.52%, Monthly Excess Return = -0.36%, Yearly Excess Return = 1.57%, Historical Cumulative Excess Return = 30.39% [11] - **bp Three-Year Percentile**: Weekly Excess Return = 0.75%, Monthly Excess Return = -0.59%, Yearly Excess Return = 3.19%, Historical Cumulative Excess Return = -1.63% [11] - **Quarterly EP**: Weekly Excess Return = 0.13%, Monthly Excess Return = 1.56%, Yearly Excess Return = 1.05%, Historical Cumulative Excess Return = 30.66% [11] - **Quarterly EP One-Year Percentile**: Weekly Excess Return = 0.81%, Monthly Excess Return = 0.32%, Yearly Excess Return = 3.53%, Historical Cumulative Excess Return = 33.78% [11] - **Quarterly SP**: Weekly Excess Return = -0.30%, Monthly Excess Return = 0.33%, Yearly Excess Return = 0.34%, Historical Cumulative Excess Return = -2.98% [11] - **Quarterly SP One-Year Percentile**: Weekly Excess Return = 0.56%, Monthly Excess Return = 1.09%, Yearly Excess Return = 9.91%, Historical Cumulative Excess Return = 1.99% [11] - **Fama-French Three-Factor One-Month Residual Volatility**: Weekly Excess Return = 1.33%, Monthly Excess Return = 1.68%, Yearly Excess Return = 8.97%, Historical Cumulative Excess Return = 19.84% [11] - **One-Month Excess Return Volatility**: Weekly Excess Return = 1.34%, Monthly Excess Return = 1.55%, Yearly Excess Return = 10.29%, Historical Cumulative Excess Return = 11.42% [11]

Core Viewpoint - The market is expected to continue a trend of oscillating upward in the coming week, supported by technical indicators and liquidity metrics [1][2]. Market Indicators - The liquidity shock index for the CSI 300 was 0.30, indicating higher liquidity than the average level over the past year by 0.30 standard deviations [2]. - The PUT-CALL ratio for the SSE 50 ETF options decreased to 0.85, reflecting a reduced caution among investors regarding short-term movements [2]. - The five-day average turnover rates for the SSE Composite Index and Wind All A were 0.82% and 1.40%, respectively, indicating increased trading activity [2]. Macroeconomic Factors - The onshore and offshore RMB exchange rates saw weekly increases of 0.15% and 0.25%, respectively [2]. - The official manufacturing PMI for China in May was reported at 49.5, matching expectations, while the Caixin manufacturing PMI was lower at 48.3 [2]. Technical Analysis - The Wind All A index broke through the SAR point on June 4, signaling a buy opportunity, with the moving average strength index scoring 207, placing it in the 81.6% percentile since 2021 [2][3]. Market Performance - For the week of June 2 to June 6, the SSE 50 index rose by 0.38%, the CSI 300 index increased by 0.88%, the CSI 500 index grew by 1.6%, and the ChiNext index surged by 2.32% [3]. - The overall market PE (TTM) stands at 19.2 times, which is in the 52.3% percentile since 2005 [3]. Factor Analysis - Small-cap factors performed well, with a crowding degree of 1.05, while low valuation factors had a crowding degree of 0.06 [3]. - The industry crowding degree is relatively high in machinery, comprehensive, retail, environmental protection, and beauty care sectors, with notable increases in beauty care and banking [3].

Quantitative Factors and Construction Methods Factor Name: BP (Book-to-Price Ratio) - **Construction Idea**: Measures the valuation of a stock by comparing its book value to its market value [13] - **Construction Process**: - Formula: $ BP = \frac{\text{Current Book Value}}{\text{Current Market Value}} $ [13] Factor Name: BP Three-Year Percentile - **Construction Idea**: Evaluates the relative valuation of a stock over the past three years [13] - **Construction Process**: - Formula: BP Three-Year Percentile = Percentile rank of the current BP within the last three years [13] Factor Name: Quarterly EP (Earnings-to-Price Ratio) - **Construction Idea**: Measures the profitability of a stock relative to its market price [13] - **Construction Process**: - Formula: $ \text{Quarterly EP} = \frac{\text{Quarterly Net Profit}}{\text{Net Assets}} $ [13] Factor Name: Quarterly EP One-Year Percentile - **Construction Idea**: Tracks the relative profitability of a stock over the past year [13] - **Construction Process**: - Formula: Quarterly EP One-Year Percentile = Percentile rank of the current Quarterly EP within the last year [13] Factor Name: Quarterly SP (Sales-to-Price Ratio) - **Construction Idea**: Measures the revenue generation capability of a stock relative to its market price [13] - **Construction Process**: - Formula: $ \text{Quarterly SP} = \frac{\text{Quarterly Revenue}}{\text{Net Assets}} $ [13] Factor Name: Quarterly SP One-Year Percentile - **Construction Idea**: Tracks the relative revenue generation capability of a stock over the past year [13] - **Construction Process**: - Formula: Quarterly SP One-Year Percentile = Percentile rank of the current Quarterly SP within the last year [13] Factor Name: Small Market Cap - **Construction Idea**: Captures the size effect by focusing on smaller companies [13] - **Construction Process**: - Formula: $ \text{Small Market Cap} = \log(\text{Market Capitalization}) $ [13] Factor Name: 1-Month Reversal - **Construction Idea**: Captures the short-term reversal effect in stock prices [13] - **Construction Process**: - Formula: $ \text{1-Month Reversal} = \text{Cumulative Return over the Last 20 Trading Days} $ [13] Factor Name: Fama-French Three-Factor 1-Month Residual Volatility - **Construction Idea**: Measures the idiosyncratic risk of a stock based on the Fama-French three-factor model [13] - **Construction Process**: - Formula: $ \text{Residual Volatility} = \text{Standard Deviation of Residuals from Fama-French Three-Factor Regression over the Last 20 Trading Days} $ [13] --- Factor Backtesting Results IC Performance - **BP**: Weekly IC = -4.17%, Monthly IC = 0.88%, Yearly IC = 1.86%, Historical IC = 2.19% [9] - **BP Three-Year Percentile**: Weekly IC = -1.08%, Monthly IC = -0.99%, Yearly IC = 2.58%, Historical IC = 1.58% [9] - **Quarterly EP**: Weekly IC = 2.10%, Monthly IC = -0.48%, Yearly IC = -0.46%, Historical IC = 1.18% [9] - **Quarterly EP One-Year Percentile**: Weekly IC = 4.23%, Monthly IC = 3.81%, Yearly IC = 0.98%, Historical IC = 1.73% [9] - **Quarterly SP**: Weekly IC = 0.79%, Monthly IC = 0.93%, Yearly IC = 0.53%, Historical IC = 0.74% [9] - **Quarterly SP One-Year Percentile**: Weekly IC = 4.80%, Monthly IC = 2.82%, Yearly IC = 2.87%, Historical IC = 1.83% [9] - **Small Market Cap**: Weekly IC = 10.49%, Monthly IC = 8.17%, Yearly IC = 3.61%, Historical IC = 2.05% [9] - **1-Month Reversal**: Weekly IC = 7.22%, Monthly IC = 1.22%, Yearly IC = 3.40%, Historical IC = 2.22% [9] - **Fama-French Three-Factor 1-Month Residual Volatility**: Weekly IC = 3.60%, Monthly IC = 1.11%, Yearly IC = 3.49%, Historical IC = 2.48% [9] Excess Return Performance (Long-Only Portfolio) - **BP**: Weekly Excess Return = -0.83%, Monthly Excess Return = -1.04%, Yearly Excess Return = 3.02%, Historical Cumulative Excess Return = 28.90% [11] - **BP Three-Year Percentile**: Weekly Excess Return = -0.58%, Monthly Excess Return = -1.51%, Yearly Excess Return = 0.97%, Historical Cumulative Excess Return = -3.21% [11] - **Quarterly EP**: Weekly Excess Return = 0.57%, Monthly Excess Return = 1.10%, Yearly Excess Return = 1.44%, Historical Cumulative Excess Return = 30.83% [11] - **Quarterly EP One-Year Percentile**: Weekly Excess Return = -0.01%, Monthly Excess Return = 0.51%, Yearly Excess Return = 3.23%, Historical Cumulative Excess Return = 34.69% [11] - **Quarterly SP**: Weekly Excess Return = -0.01%, Monthly Excess Return = 0.49%, Yearly Excess Return = 0.70%, Historical Cumulative Excess Return = -2.69% [11] - **Quarterly SP One-Year Percentile**: Weekly Excess Return = 0.09%, Monthly Excess Return = 1.25%, Yearly Excess Return = 7.91%, Historical Cumulative Excess Return = 2.23% [11] - **Small Market Cap**: Weekly Excess Return = 0.96%, Monthly Excess Return = 2.76%, Yearly Excess Return = 18.31%, Historical Cumulative Excess Return = 62.57% [11] - **1-Month Reversal**: Weekly Excess Return = 0.83%, Monthly Excess Return = 0.76%, Yearly Excess Return = 3.54%, Historical Cumulative Excess Return = 1.57% [11] - **Fama-French Three-Factor 1-Month Residual Volatility**: Weekly Excess Return = 0.28%, Monthly Excess Return = 0.75%, Yearly Excess Return = 8.69%, Historical Cumulative Excess Return = 18.67% [11]

Quantitative Factors and Construction Methods Factor Name: Small Market Capitalization - **Factor Construction Idea**: This factor captures the size effect, where smaller market capitalization stocks tend to outperform larger ones over time [8][10] - **Factor Construction Process**: The factor is calculated as the logarithm of the market capitalization of a stock [15] - **Factor Evaluation**: This factor performed well in the recent week, month, and year, indicating its robustness in capturing the size premium [8][10] Factor Name: 90-Day Analyst Coverage - **Factor Construction Idea**: Measures the level of analyst attention a stock receives, with higher coverage potentially indicating better information availability [8][14] - **Factor Construction Process**: The factor is calculated as the number of analysts covering the stock over the past 90 days [14] - **Factor Evaluation**: This factor showed strong performance in the recent week and month, though its annual performance was weaker [8][10] Factor Name: Turnover Rate Volatility (1-Month) - **Factor Construction Idea**: Captures the stability of trading activity, with higher volatility potentially indicating speculative behavior [8][10] - **Factor Construction Process**: The factor is calculated as the standard deviation of daily turnover rates over the past 20 trading days [14] - **Factor Evaluation**: This factor performed poorly in the recent week and month but showed strong performance over the past year [8][10] Factor Name: Fama-French 3-Factor 1-Month Residual Volatility - **Factor Construction Idea**: Measures the idiosyncratic risk of a stock after accounting for market, size, and value factors [8][14] - **Factor Construction Process**: The factor is calculated as the standard deviation of residuals from a regression of daily returns on the Fama-French 3 factors over the past 20 trading days [14] - **Factor Evaluation**: This factor exhibited weak performance in the recent week and month but performed well over the past year [8][10] Factor Name: 1-Month Reversal - **Factor Construction Idea**: Captures the short-term mean-reversion effect, where stocks with recent underperformance tend to rebound [8][14] - **Factor Construction Process**: The factor is calculated as the cumulative return over the past 20 trading days [14] - **Factor Evaluation**: This factor performed well in the recent month but showed weaker performance in the recent week and year [8][10] Factor Name: Quarterly Asset Turnover - **Factor Construction Idea**: Measures the efficiency of a company in utilizing its assets to generate revenue [10][14] - **Factor Construction Process**: The factor is calculated as quarterly revenue divided by total assets [14] - **Factor Evaluation**: This factor showed strong performance in the recent week, month, and year, indicating its effectiveness in capturing operational efficiency [10][14] Factor Name: Quarterly ROE YoY Growth - **Factor Construction Idea**: Captures the growth in return on equity (ROE) compared to the same quarter in the previous year, reflecting profitability improvement [10][14] - **Factor Construction Process**: The factor is calculated as the year-over-year growth rate of quarterly ROE [14] - **Factor Evaluation**: This factor performed well across all time horizons, showcasing its robustness in identifying growth opportunities [10][14] --- Factor Backtesting Results Small Market Capitalization - Weekly Excess Return: 1.03% - Monthly Excess Return: 3.94% - Annual Excess Return: 13.73% [11] 90-Day Analyst Coverage - Weekly Excess Return: 0.19% - Monthly Excess Return: -0.01% - Annual Excess Return: -3.00% [11] Turnover Rate Volatility (1-Month) - Weekly Excess Return: -0.51% - Monthly Excess Return: 1.19% - Annual Excess Return: 10.21% [11] Fama-French 3-Factor 1-Month Residual Volatility - Weekly Excess Return: -0.27% - Monthly Excess Return: 0.59% - Annual Excess Return: 7.33% [11] 1-Month Reversal - Weekly Excess Return: -0.28% - Monthly Excess Return: 1.90% - Annual Excess Return: 1.41% [11] Quarterly Asset Turnover - Weekly Excess Return: 0.55% - Monthly Excess Return: 1.39% - Annual Excess Return: 2.78% [11] Quarterly ROE YoY Growth - Weekly Excess Return: 0.36% - Monthly Excess Return: 0.95% - Annual Excess Return: 3.98% [11]