2026 年 2 月 28 日 总量研究 Beta 因子表现良好，量化选股组合超额收益显著 ——量化组合跟踪周报 20260228 要点 量化市场跟踪 大类因子表现：本周全市场股票池中，Beta 因子、盈利因子和流动性因子分别 获取正收益 1.04%、0.57%、0.55%；市值因子获取负收益-0.39%，市场表现为 小市值风格；其余风格因子表现一般。 单因子表现：沪深 300 股票池中，本周表现较好的因子有净利润断层 (4.93%)、 单季度 ROA (2.93%)、单季度 ROA 同比 (2.83%)。表现较差的因子有总资产毛 利率 TTM (-0.77%)、单季度总资产毛利率 (-0.66%)、经营现金流比率 (-0.66%)。 中证 500 股票池中，本周表现较好的因子有市净率因子 (0.83%)、市销率 TTM 倒数 (0.72%)、对数市值因子 (0.23%)。表现较差的因子有总资产毛利率 TTM (-3.84%)、毛利率 TTM (-3.51%)、单季度总资产毛利率 (-3.46%)。 流动性 1500 股票池中，本周表现较好的因子有 5 日反转 (0.76%)、净利润断层 (0.31%)、市净 ...

Group 1: Market Overview - The Beta factor and valuation factor achieved positive returns of 0.66% and 0.48% respectively, while the market capitalization factor recorded a negative return of -0.80%, indicating a small-cap market performance [5] - The quant stock selection strategy yielded significant excess returns, with the PB-ROE-50 combination achieving excess returns of 1.38%, 2.54%, and 4.23% for the CSI 500, CSI 800, and the overall market respectively [5] Group 2: REITs Market - The secondary market prices of publicly listed REITs in China showed an upward trend, with the CSI REITs closing at 806.72 and the CSI REITs total return index at 1047.51, reflecting weekly returns of 2.09% and 2.17% respectively [5] - Compared to other major asset classes, the return rates ranked as follows: Gold > Convertible Bonds > REITs > A-shares > Crude Oil > Pure Bonds > US Stocks [5] Group 3: Banking Sector Insights - The 2025 annual report from the banking industry indicated an increase in the scale of wealth management products by nearly 3.3 trillion, achieving a year-on-year increase despite a high base [6] - "Fixed income +" wealth management products have become a significant growth point, while the average yield on wealth management products has dropped below 2% [6] - The proportion of wealth management products in deposit asset allocation rose to 28.2%, with the market share of wealth management companies exceeding 90% [6] Group 4: Copper Industry Analysis - The TC spot price reached a new low, indicating continued tightness in copper concentrate procurement, while cable manufacturers' operating rates increased week-on-week [8] - Despite the rise in copper prices, domestic social inventory continues to grow, which may suppress demand [8] - The outlook for 2026 remains optimistic with a tight supply-demand balance expected to support copper prices [8] Group 5: Chemical Industry Trends - The price of spandex has seen a significant increase of 1000 yuan/ton due to pressure from losses, marking a turning point in the spandex market [8] - Spandex prices have dropped from a historical high of 83,750 yuan/ton in 2021 to 23,600 yuan/ton in early January 2026, representing a decline of 72% [8]

Core Viewpoint - The report highlights the performance of various market factors and investment strategies, indicating a mixed performance across different stock pools and sectors, with certain factors yielding positive excess returns [4][7][8][9][10]. Group 1: Market Factor Performance - The overall market showed positive returns for the Beta factor (0.66%) and valuation factor (0.48%), while the market capitalization factor yielded negative returns (-0.80%), indicating a preference for small-cap stocks [4]. - In the CSI 300 stock pool, the best-performing factors included the 5-day average turnover rate (4.52%) and 5-day reversal (3.17%), while the total asset growth rate (-2.05%) and quarterly ROE (-1.16%) performed poorly [5]. - The CSI 500 stock pool saw strong performance from the 5-day reversal (3.80%) and quarterly operating profit growth rate (1.98%), but struggled with momentum-adjusted small caps (-2.41%) [5]. Group 2: Sector-Specific Factor Performance - Fundamental factors showed varied performance across sectors, with net asset per share and TTM operating profit factors performing well in the defense and leisure services sectors [6]. - Valuation factors such as BP and EP also yielded positive returns in the defense and leisure services industries, while residual volatility and liquidity factors performed well in the coal sector [6]. Group 3: Investment Strategy Performance - The PB-ROE-50 combination achieved positive excess returns across stock pools, with the CSI 500 pool gaining 1.38% and the CSI 800 pool gaining 2.54% [7]. - Public and private fund research selection strategies both generated positive excess returns, with public strategies outperforming the CSI 800 by 0.61% and private strategies by 3.43% [8]. - The block trading combination also achieved positive excess returns relative to the CSI All Index, with a gain of 0.86% [9]. - The targeted issuance combination outperformed the CSI All Index by 1.32%, indicating strong performance in this investment strategy [10].

- 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]

- The Beta factor achieved a positive return of 1.22% this week, while the size factor recorded a negative return of -0.79%, indicating a small-cap style in the market. Residual volatility and liquidity factors also showed negative returns of -0.77% and -0.56%, respectively[1][18][20] - In the CSI 300 stock pool, the top-performing factors this week were the 6-day moving average of transaction amounts (3.60%), 5-day average turnover rate (3.53%), and net profit gap (3.35%). The worst-performing factors were net inflow of large orders (-1.48%), the correlation between intraday volatility and transaction amounts (-1.30%), and the price-to-book ratio factor (-1.29%)[12][13] - In the CSI 500 stock pool, the best-performing factors this week were total asset growth rate (1.23%), post-morning return factor (1.12%), and single-quarter ROA YoY (1.02%). The worst-performing factors were the correlation between intraday volatility and transaction amounts (-2.89%), net inflow of large orders (-2.35%), and the price-to-book ratio factor (-2.30%)[14][15] - In the liquidity 1500 stock pool, the top-performing factors this week were single-quarter ROE (1.67%), total asset gross profit margin TTM (1.47%), and single-quarter ROA (1.33%). The worst-performing factors were the price-to-book ratio factor (-1.77%), the proportion of downside volatility (-1.39%), and the correlation between intraday volatility and transaction amounts (-1.19%)[16][17] - The PB-ROE-50 portfolio achieved positive excess returns this week, with -0.20% in the CSI 500 stock pool, 1.98% in the CSI 800 stock pool, and 2.85% in the overall market stock pool[23][24] - The institutional research portfolios also delivered positive excess returns this week. The public fund research stock selection strategy achieved an excess return of 3.24% relative to the CSI 800, while the private fund research tracking strategy achieved an excess return of 2.59% relative to the CSI 800[25][26] - The block trade portfolio, constructed based on the "high transaction, low volatility" principle, achieved an excess return of 3.94% relative to the CSI All Share Index this week[29][30] - The directed issuance portfolio, constructed around event-driven stock selection strategies, achieved an excess return of 1.16% relative to the CSI All Share Index this week[35][36]

- The report discusses the performance of the A-share market, noting that the market has been on an upward trend since April 7, with a rebound of about 30% over seven months[1][8] - The report highlights that the current market rebound is likely a short-term 30-minute level rebound, and the overall market is expected to enter a period of adjustment[1][8] - The report mentions that the mid-term outlook for the market is positive, with several indices such as the Shanghai Composite Index, Shanghai 50, CSI 300, CSI 500, Shenzhen Component Index, ChiNext Index, and STAR 50 confirming weekly-level uptrends[1][8] - The report observes that the A-share prosperity index has risen to 19.90 as of November 28, 2025, indicating an upward cycle[2][32] - The report notes that the A-share sentiment index signals are currently empty, indicating a bearish outlook[2][40] - The report evaluates the performance of enhanced index portfolios, noting that the CSI 500 enhanced portfolio underperformed the benchmark by 0.72% and the CSI 300 enhanced portfolio underperformed the benchmark by 0.07%[2][49][56] - The report identifies the Beta factor as the dominant style factor, with high Beta stocks performing well, while value and leverage factors performed poorly[2][62] - The report provides detailed construction and performance analysis of various factors, including market capitalization (SIZE), Beta, momentum (MOM), residual volatility (RESVOL), non-linear size (NLSIZE), valuation (BTOP), liquidity (LIQUIDITY), earnings yield (EARNINGS_YIELD), growth (GROWTH), and leverage (LVRG)[2][61][62] - The report includes a detailed analysis of the performance of different industry factors, noting that communication, electronics, and retail industry factors achieved high excess returns, while coal and agriculture industry factors experienced significant drawdowns[2][62] - The report provides a detailed breakdown of the holdings and performance of the CSI 500 and CSI 300 enhanced portfolios, including specific stock weights and performance metrics[2][53][60]

Group 1 - The macro growth factor continues to rise, while inflation indicators show a weakening rebound, with domestic CPI turning negative at -0.4% and PPI's decline narrowing to -2.9%, indicating persistent internal demand issues [4] - The Federal Reserve's interest rate cut expectations are driving upward global liquidity expectations, benefiting Asian equity markets, with the Korean Composite Index rising by 5.94% and the Hang Seng Tech Index by 5.31% [4][9] - The A-share market shows a preference for growth styles, with the Sci-Tech 50 Index increasing by 5.48%, while small-cap indices outperform large-cap blue chips [4] Group 2 - Recommendations for asset allocation include favoring high-grade credit bonds in the bond market, adjusting duration flexibly, and focusing on bank and insurance sector movements [5] - In the overseas equity market, the report suggests monitoring interest rate-sensitive sectors due to limited short-term rebound potential for the dollar and significantly raised interest rate cut expectations [5] - For gold, it is recommended to increase allocations to gold and silver as they are core assets during the interest rate cut cycle, with expectations for Shanghai gold to break previous highs [5] Group 3 - The report indicates that the overall liquidity environment remains supportive for market valuation recovery and structural trends, with a significant decrease in average daily trading volume in the A-share market [56] - The A-share valuation levels have increased, with the price-to-earnings ratio rising to 50.38 times and the price-to-book ratio reaching 5.60 times, suggesting that market expectations for future corporate earnings may be overly optimistic [60] - The report highlights that the earnings expectations for A-shares are weaker than historical averages, with a projected rolling one-year earnings growth rate of 10.3% and revenue growth rate of 5.9% [61]

Core Viewpoint - The report highlights the performance of various market factors and investment strategies, indicating positive returns in several areas while noting the mixed performance of different factors across industries [4][5][6]. Group 1: Market Factor Performance - The momentum factor achieved a positive return of 0.70%, indicating a momentum effect in the market; profitability and Beta factors also showed positive returns of 0.34% and 0.28% respectively, while the market capitalization factor had a negative return of -0.58%, reflecting a small-cap style [4]. - In the CSI 300 stock pool, the best-performing factors included quarterly operating profit growth rate (1.25%), quarterly ROE (1.07%), and early session return factor (0.95%), while the worst performers were the standard deviation of 6-day trading volume (-0.91%), standardized unexpected income (-0.89%), and quarterly EPS (-0.83%) [5]. - In the CSI 500 stock pool, the top factors were post-early session return factor (1.24%), standard deviation of 5-day trading volume (1.05%), and standard deviation of 6-day trading volume (0.82%), with the weakest factors being ROE stability (-0.96%), 5-minute return skewness (-0.84%), and ROA stability (-0.83%) [5]. Group 2: Industry Factor Performance - Fundamental factors showed varied performance across industries, with net asset growth rate, net profit growth rate, earnings per share, and TTM operating profit factors yielding consistent positive returns in the utilities and leisure services sectors [6]. - Valuation factors, particularly the BP factor, demonstrated significant positive returns in the construction materials, banking, and media sectors, while the EP factor showed notable positive returns in the coal industry [6]. - Residual volatility and liquidity factors yielded consistent positive returns in the defense, oil and petrochemical, and automotive industries, with a significant large-cap style observed in the coal and banking sectors [6]. Group 3: Investment Strategy Performance - The PB-ROE-50 combination achieved positive excess returns in the overall market stock pool, with a negative excess return of -0.40% in the CSI 500 stock pool and a positive excess return of 0.44% in the CSI 800 stock pool [7]. - Public fund research stock selection strategy and private fund research tracking strategy both achieved positive excess returns, with the public fund strategy outperforming the CSI 800 by 3.21% and the private fund strategy by 0.16% [8]. - The block trading combination achieved a positive excess return of 3.61% relative to the CSI All Index [9]. - The targeted issuance combination also achieved a positive excess return of 0.77% relative to the CSI All Index [10].

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 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]