Quantitative Models and Construction 1. Model Name: Three-Dimensional Timing Framework - **Model Construction Idea**: The model integrates three dimensions—divergence, liquidity, and prosperity—to assess market timing and provide investment recommendations[7][13] - **Model Construction Process**: 1. **Divergence**: Measures the degree of disagreement among market participants, reflecting the balance between bullish and bearish sentiments 2. **Liquidity**: Tracks the overall market liquidity trend, indicating the availability of funds in the market 3. **Prosperity**: Evaluates the economic and market growth momentum 4. The model combines these three indicators to generate a composite signal for market timing decisions, such as reducing positions during a "divergence up, liquidity down" scenario[7][13] - **Model Evaluation**: The model provides a systematic and multi-dimensional approach to market timing, offering insights into market trends and potential risks[7][13] --- Quantitative Factors and Construction 1. Factor Name: Size Factor - **Factor Construction Idea**: Captures the performance difference between large-cap and small-cap stocks[39] - **Factor Construction Process**: 1. Define the market capitalization of stocks 2. Construct portfolios based on size rankings 3. Measure the return spread between large-cap and small-cap portfolios[39] - **Factor Evaluation**: The size factor recorded a positive return of 1.57% in the past week, indicating that large-cap stocks outperformed small-cap stocks during this period[39][43] 2. Factor Name: Beta Factor - **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market movements[40] - **Factor Construction Process**: 1. Calculate the beta of individual stocks using historical return data 2. Construct portfolios based on beta rankings 3. Measure the return spread between high-beta and low-beta portfolios[40] - **Factor Evaluation**: The beta factor achieved a return of 1.08% in the past week, suggesting that high-beta stocks outperformed low-beta stocks[40][43] 3. Factor Name: Growth Factor - **Factor Construction Idea**: Identifies stocks with high growth potential based on financial metrics[40] - **Factor Construction Process**: 1. Use metrics such as revenue growth, earnings growth, and other growth-related indicators 2. Construct portfolios based on growth rankings 3. Measure the return spread between high-growth and low-growth portfolios[40] - **Factor Evaluation**: The growth factor recorded a return of 0.42% in the past week, indicating that high-growth stocks slightly outperformed their low-growth counterparts[40][43] 4. Factor Name: Single-Quarter ROE YoY Difference (ROE_Q_Delta) - **Factor Construction Idea**: Measures the year-over-year change in return on equity (ROE) for a single quarter, reflecting profitability trends[46][47] - **Factor Construction Process**: 1. Calculate the ROE for the current quarter and the same quarter in the previous year 2. Compute the difference between the two values 3. Construct portfolios based on the ROE YoY difference rankings[46][47] - **Factor Evaluation**: This factor performed well across various indices, with a multi-week excess return of 8.23% in the CSI 300 index and 9.38% in the CSI 1000 index[46][47] 5. Factor Name: Revenue Growth YoY (YOY_OR) - **Factor Construction Idea**: Tracks the year-over-year growth in revenue, highlighting companies with strong top-line growth[42][44] - **Factor Construction Process**: 1. Calculate the revenue growth rate for the current period compared to the same period in the previous year 2. Construct portfolios based on revenue growth rankings 3. Measure the return spread between high-growth and low-growth portfolios[42][44] - **Factor Evaluation**: The factor achieved a weekly excess return of 2.14% and a monthly excess return of 6.48%, demonstrating strong performance in identifying growth opportunities[42][44] --- Backtesting Results of Models and Factors 1. Three-Dimensional Timing Framework - **Annualized Excess Return**: 13.5% since 2018 - **IR**: 1.7 - **Weekly Absolute Return**: 0.9% - **Weekly Excess Return**: -1% relative to equal-weighted industry benchmarks[35][38] 2. Size Factor - **Weekly Return**: 1.57% - **Monthly Return**: 4.70% - **Year-to-Date Return**: -29.21%[43] 3. Beta Factor - **Weekly Return**: 1.08% - **Monthly Return**: 2.99% - **Year-to-Date Return**: 27.49%[43] 4. Growth Factor - **Weekly Return**: 0.42% - **Monthly Return**: 4.11% - **Year-to-Date Return**: -3.28%[43] 5. Single-Quarter ROE YoY Difference (ROE_Q_Delta) - **Weekly Excess Return**: 8.23% (CSI 300), 9.38% (CSI 1000) - **Monthly Excess Return**: 10.17% (CSI 1000)[46][47] 6. Revenue Growth YoY (YOY_OR) - **Weekly Excess Return**: 2.14% - **Monthly Excess Return**: 6.48%[42][44]