Quantitative Factors and Models Summary Quantitative Factors and Construction Process - **Factor Name**: Value **Construction Idea**: Captures the market's preference for value investing strategies **Construction Process**: Includes metrics like Book-to-Price (BP) and Earnings Yield (EP) **Evaluation**: Demonstrated significant positive returns in the recent week, indicating increased market recognition of value strategies [10][12][13] - **Factor Name**: SOE (State-Owned Enterprise) **Construction Idea**: Measures the proportion of state ownership in a company **Construction Process**: Calculated as the percentage of shares held by state-owned entities **Evaluation**: Showed slight improvement in returns, reflecting increased market attention to state-owned enterprises [10][13] - **Factor Name**: Growth **Construction Idea**: Tracks growth potential through metrics like ROE changes and sales growth **Construction Process**: Includes metrics such as Delta ROE (average ROE change over 3 years) and Sales Growth (3-year compound growth rate of revenue) **Evaluation**: Stable performance, though slightly weaker compared to the previous week [11][13] - **Factor Name**: Volatility **Construction Idea**: Measures the market's preference for high or low volatility stocks **Construction Process**: Includes metrics like standard deviation of returns over 243 days and maximum/minimum returns over the same period **Evaluation**: Negative returns, indicating reduced demand for high-volatility assets [11][13] - **Factor Name**: Trend **Construction Idea**: Captures momentum through exponential weighted moving averages (EWMA) **Construction Process**: Metrics include Trend_120 (EWMA with half-life of 20 days divided by EWMA with half-life of 120 days) **Evaluation**: Significant decline in returns, reflecting reduced market preference for trend-following strategies [11][13] - **Factor Name**: Certainty **Construction Idea**: Measures market confidence in predictable investments **Construction Process**: Includes metrics like institutional holding percentage and analyst coverage **Evaluation**: Weak performance, indicating low market confidence in certainty-based strategies [11][13] - **Factor Name**: Liquidity **Construction Idea**: Tracks market preference for liquid assets **Construction Process**: Includes metrics like average turnover rate over 243 days and liquidity beta **Evaluation**: Declined further, showing reduced demand for high-liquidity stocks [11][13] - **Factor Name**: Beta **Construction Idea**: Measures sensitivity to market movements **Construction Process**: Bayesian compressed market beta **Evaluation**: Significant negative returns, indicating reduced preference for high-beta stocks [11][13] Factor Backtesting Results - **Value Factor**: Weekly return of 0.38%, monthly return of -4.25%, annualized return of -24.01% over the past year [12] - **SOE Factor**: Weekly return of 0.16%, monthly return of 0.71%, annualized return of 19.07% over the past year [12] - **Growth Factor**: Weekly return of -0.19%, monthly return of 2.21%, annualized return of 15.05% over the past year [12] - **Volatility Factor**: Weekly return of -0.28%, monthly return of -1.38%, annualized return of 24.81% over the past year [12] - **Trend Factor**: Weekly return of -0.41%, monthly return of 3.86%, annualized return of 16.35% over the past year [12] - **Certainty Factor**: Weekly return of -0.66%, monthly return of -3.15%, annualized return of -20.57% over the past year [12] - **Liquidity Factor**: Weekly return of -1.06%, monthly return of -2.38%, annualized return of 30.40% over the past year [12] - **Beta Factor**: Weekly return of -1.30%, monthly return of -0.80%, annualized return of 29.44% over the past year [12] MFE Portfolio Construction - **Model Name**: Maximized Factor Exposure (MFE) Portfolio **Construction Idea**: Maximizes single-factor exposure while controlling for constraints like industry and style deviations **Construction Process**: - Objective function: Maximize factor exposure - Constraints: - Style and industry exposure limits - Stock weight deviation limits - Turnover rate constraints - Formula: $ \begin{array}{ll} max & f^{T}w \\ s.t. & s_{l}\leq X(w-w_{b})\leq s_{h} \\ & h_{l}\leq H(w-w_{b})\leq h_{h} \\ & w_{l}\leq w-w_{b}\leq w_{h} \\ & b_{l}\leq B_{b}w\leq b_{h} \\ & 0\leq w\leq l \\ & 1^{T}w=1 \\ & \Sigma|w-w_{0}|\leq to_{h} \end{array} $ - $f$: Factor values - $w$: Stock weight vector - $X$: Style exposure matrix - $H$: Industry exposure matrix - $B_b$: Benchmark component weights - $to_h$: Turnover rate upper limit **Evaluation**: Effective in isolating factor performance under controlled conditions [59][60][63] MFE Portfolio Backtesting Results - **HS300 Index**: Weekly excess return range: -0.41% to 0.72%, median: 0.21% [52] - **CSI500 Index**: Weekly excess return range: -0.55% to 1.25%, median: 0.28% [56] - **CSI1000 Index**: Weekly excess return range: -0.64% to 1.05%, median: 0.22% [58]

Quantitative Factors and Models Summary Quantitative Factors and Their Construction - **Factor Name: Trend** - **Construction Idea**: Measures market preference for trend-following strategies, using exponential weighted moving averages (EWMA) with different half-lives [12] - **Construction Process**: - **Trend_120**: $ EWMA(halflife=20) / EWMA(halflife=120) $ - **Trend_240**: $ EWMA(halflife=20) / EWMA(halflife=240) $ [12] - **Evaluation**: Demonstrates strong performance in short-term market rebounds, indicating increased preference for trend-following strategies [9] - **Factor Name: Certainty** - **Construction Idea**: Captures market confidence through institutional holdings and analyst coverage [12] - **Construction Process**: - **Instholder Pct**: Proportion of public fund holdings - **Cov**: Analyst coverage adjusted for market capitalization - **Listdays**: Number of days since listing [12] - **Evaluation**: Shows recovery in market confidence during the observed period [9] - **Factor Name: Value** - **Construction Idea**: Measures valuation attractiveness using metrics like book-to-price (BP) and earnings yield (EP) [12] - **Construction Process**: - **BP**: $ Net\ Assets / Market\ Capitalization $ - **EP**: $ Earnings / Market\ Capitalization $ [12] - **Evaluation**: Underperformed during the observed period, reflecting reduced market preference for value stocks [9] - **Factor Name: Volatility** - **Construction Idea**: Captures market risk perception through historical and idiosyncratic volatility measures [12] - **Construction Process**: - **Stdvol**: Standard deviation of daily returns over 243 days - **Ivff**: Idiosyncratic volatility from Fama-French 3-factor model over 243 days - **Range**: $ (High\ Price - Low\ Price) / Low\ Price $ over 243 days [12] - **Evaluation**: Declined significantly, indicating increased market aversion to high-volatility assets [10] - **Factor Name: Size** - **Construction Idea**: Measures the impact of company size on returns using logarithmic market capitalization [12] - **Construction Process**: $ Log(Market\ Capitalization) $ [12] - **Evaluation**: Continued to underperform, reflecting negative sentiment towards smaller companies [10] Factor Backtesting Results - **Trend Factor** - Weekly return: 1.49% [9] - Monthly return: -4.81% [11] - Year-to-date return: -10.89% [11] - Historical annualized return: 13.86% [11] - **Certainty Factor** - Weekly return: 1.35% [9] - Monthly return: -2.32% [11] - Year-to-date return: -3.44% [11] - Historical annualized return: 3.20% [11] - **Value Factor** - Weekly return: 0.35% [9] - Monthly return: -2.42% [11] - Year-to-date return: -10.53% [11] - Historical annualized return: 7.28% [11] - **Volatility Factor** - Weekly return: -0.51% [10] - Monthly return: 5.01% [11] - Year-to-date return: 16.90% [11] - Historical annualized return: -12.84% [11] - **Size Factor** - Weekly return: -4.61% [10] - Monthly return: -12.65% [11] - Year-to-date return: -22.68% [11] - Historical annualized return: -29.42% [11] Composite Factor Portfolio Construction - **Model Name: Maximized Factor Exposure (MFE) Portfolio** - **Construction Idea**: Optimizes portfolio to maximize exposure to a single factor while controlling for industry, style, and turnover constraints [52] - **Construction Process**: - Objective function: $ max\ f^{T}w $ - Constraints: - Style exposure: $ s_{l} \leq X(w-w_{b}) \leq s_{h} $ - Industry exposure: $ h_{l} \leq H(w-w_{b}) \leq h_{h} $ - Stock weight deviation: $ w_{l} \leq w-w_{b} \leq w_{h} $ - Turnover limit: $ \Sigma|w-w_{0}| \leq to_{h} $ [52][53] - **Evaluation**: Provides a robust framework for testing factor effectiveness under realistic portfolio constraints [53] MFE Portfolio Backtesting Results - **MFE Portfolio for Trend Factor** - Weekly return: 1.49% [9] - Monthly return: -4.81% [11] - Year-to-date return: -10.89% [11] - Historical annualized return: 13.86% [11]