Quantitative Models and Construction Methods 1. Model Name: Price Segmentation System - **Model Construction Idea**: The model analyzes the price movement of the Shanghai Composite Index (SSE) to identify marginal trends and align daily and weekly price patterns[15] - **Model Construction Process**: The model segments the price data of the SSE index into daily and weekly trends. It observes the marginal upward movement in daily data and compares it with weekly data to confirm alignment[15] - **Model Evaluation**: The model provides a straightforward approach to track marginal price movements and assess consistency across timeframes[15] 2. Model Name: Micro-Market Structure Timing - **Model Construction Idea**: This model evaluates the activity level of informed traders to gauge market sentiment and timing opportunities[16] - **Model Construction Process**: The model uses an "informed trader activity index," which tracks the marginal changes in informed trading activity. The index is observed near the zero line, indicating cautious market sentiment[16] - **Model Evaluation**: The model effectively reflects the cautious stance of informed traders during market volatility, providing insights into market timing[16] 3. Model Name: Institutional Positioning Estimation - **Model Construction Idea**: This model estimates institutional holdings in the TMT sector to assess the sector's positioning and potential rebound opportunities[14] - **Model Construction Process**: The model calculates the institutional holding ratio in the TMT sector. As of June 20, the institutional holding ratio was 24.7%, corresponding to the 54.2% percentile over the past three years. This indicates a relatively cleared position structure, suggesting potential for early recovery[14] - **Model Evaluation**: The model provides a quantitative basis for assessing sectoral positioning and rebound potential, particularly in high-risk sectors like TMT[14] --- Model Backtesting Results 1. Price Segmentation System - **Weekly SSE Index Change**: -0.51% during the period from June 16 to June 20, 2025[15] 2. Micro-Market Structure Timing - **Informed Trader Activity Index**: The index remained near zero, reflecting cautious market sentiment[16] 3. Institutional Positioning Estimation - **Institutional Holding Ratio in TMT**: 24.7%, corresponding to the 54.2% percentile over the past three years[14] --- Quantitative Factors and Construction Methods 1. Factor Name: BARRA Style Factors - **Factor Construction Idea**: The factors analyze the performance of fundamental and trading-related attributes to identify market preferences and style shifts[25] - **Factor Construction Process**: - **Fundamental Factors**: Valuation factors, such as earnings-to-price (EP), are analyzed for their contribution to high-dividend asset returns - **Trading-Related Factors**: Momentum and volatility factors are assessed for their performance during market corrections - **Size Factors**: Both linear and non-linear size factors are evaluated to track shifts from small-cap to large-cap preferences[25] - **Factor Evaluation**: The factors effectively capture the dynamic shifts in market preferences, including the transition from small-cap to large-cap styles and the performance of high-dividend assets[25] --- Factor Backtesting Results 1. BARRA Style Factors - **Valuation Factors**: High EP value assets demonstrated strong returns[25] - **Trading-Related Factors**: Momentum and high-volatility assets experienced drawdowns[25] - **Size Factors**: Positive excess returns for size factors, with reduced drawdowns in non-linear size factors, indicating a shift toward large-cap preferences[25]