主动量化研究系列：2025H1：从市值到超额收益

Quantitative Models and Construction Methods - Model Name: Index Enhancement Strategy (80% Component Constraint) Model Construction Idea: The model aims to replicate the performance of typical index enhancement products by adjusting the distribution of components across different market capitalization domains[4][33][34] Model Construction Process: 1. The model constrains the component weight to 80% while adjusting the allocation in micro-cap stocks. 2. Specific constraints include: - Industry exposure: 0.1% - Weight cap for CSI 2000 components: 0.2% - Weight cap for micro-cap stocks: 0.1% - Monthly rebalancing frequency 3. Performance metrics such as excess return, tracking error, IR, and maximum drawdown are calculated for different micro-cap allocations (0%, 5%, 10%)[34][35] Model Evaluation: The model demonstrates that higher micro-cap allocations can enhance excess returns, albeit with slightly increased tracking error and drawdown[35] - Model Name: Index Enhancement Strategy (Relaxed Component Constraint) Model Construction Idea: This model explores the impact of relaxing the component weight constraint to 40% while varying micro-cap allocations and market capitalization exposures[33][39] Model Construction Process: 1. The component weight constraint is relaxed to 40%, and micro-cap allocations are adjusted (0%, 10%, 20%). 2. Additional constraints include: - Industry exposure: 0.1% - Weight cap for CSI 2000 components: 0.2% - Weight cap for micro-cap stocks: 0.1% - Monthly rebalancing frequency 3. Performance metrics such as excess return, tracking error, IR, and maximum drawdown are calculated for different scenarios[39][40] Model Evaluation: Relaxing the component constraint significantly improves excess returns, especially with higher micro-cap allocations, though it introduces higher tracking error and drawdown risks[40] Model Backtesting Results - Index Enhancement Strategy (80% Component Constraint): - CSI 300 (0% micro-cap): Excess Return: 7.97%, Tracking Error: 3.34%, IR: 5.38, Max Drawdown: -1.16% - CSI 300 (5% micro-cap): Excess Return: 8.52%, Tracking Error: 3.45%, IR: 5.58, Max Drawdown: -1.19% - CSI 300 (10% micro-cap): Excess Return: 8.70%, Tracking Error: 3.57%, IR: 5.51, Max Drawdown: -1.33% - CSI 500 (0% micro-cap): Excess Return: 7.55%, Tracking Error: 3.87%, IR: 4.38, Max Drawdown: -1.52% - CSI 500 (5% micro-cap): Excess Return: 8.23%, Tracking Error: 3.88%, IR: 4.78, Max Drawdown: -1.38% - CSI 500 (10% micro-cap): Excess Return: 9.20%, Tracking Error: 3.98%, IR: 5.24, Max Drawdown: -1.39% - CSI 1000 (0% micro-cap): Excess Return: 10.12%, Tracking Error: 4.28%, IR: 5.40, Max Drawdown: -1.50% - CSI 1000 (5% micro-cap): Excess Return: 9.76%, Tracking Error: 4.31%, IR: 5.16, Max Drawdown: -1.69% - CSI 1000 (10% micro-cap): Excess Return: 9.76%, Tracking Error: 4.31%, IR: 5.16, Max Drawdown: -1.69%[35] - Index Enhancement Strategy (Relaxed Component Constraint): - CSI 300 (0% micro-cap): Excess Return: 10.87%, Tracking Error: 4.35%, IR: 5.73, Max Drawdown: -1.29% - CSI 300 (10% micro-cap): Excess Return: 13.96%, Tracking Error: 7.01%, IR: 4.64, Max Drawdown: -3.02% - CSI 500 (0% micro-cap): Excess Return: 10.25%, Tracking Error: 6.65%, IR: 3.52, Max Drawdown: -2.19% - CSI 500 (20% micro-cap): Excess Return: 17.08%, Tracking Error: 7.98%, IR: 5.07, Max Drawdown: -2.43% - CSI 1000 (0% micro-cap): Excess Return: 10.84%, Tracking Error: 6.24%, IR: 3.98, Max Drawdown: -1.54% - CSI 1000 (20% micro-cap): Excess Return: 16.81%, Tracking Error: 7.38%, IR: 5.38, Max Drawdown: -2.04%[40] Quantitative Factors and Construction Methods - Factor Name: Market Capitalization (Size) Factor Construction Idea: Market capitalization is used as a linear factor to segment stocks into deciles, with smaller-cap stocks expected to deliver higher excess returns[19][22] Factor Construction Process: 1. Divide the market into 10 deciles based on market capitalization. 2. Calculate the excess return for each decile. 3. Analyze the trend of excess returns across deciles[22] Factor Evaluation: The smallest decile (G01) delivers the highest excess return (22.4%), while returns decrease progressively with increasing market capitalization[22] - Factor Name: Mid-Cap (Nonlinear Size) Factor Construction Idea: Mid-cap is modeled as a cubic function to capture the performance of stocks outside the large-cap and small-cap domains[2][25] Factor Construction Process: 1. Define mid-cap stocks using a cubic function of market capitalization. 2. Analyze the overlap between mid-cap and market capitalization groups. 3. Evaluate the excess return of mid-cap groups[25][26] Factor Evaluation: Mid-cap stocks exhibit significant overlap with small-cap stocks, and the smallest mid-cap group (G01) delivers high excess returns (21.6%)[22][25] Factor Backtesting Results - Market Capitalization (Size): - G01: 22.4%, G02: 15.0%, G03: 22.6%, G04: 20.4%, G05: 13.6%, G06: 13.2%, G07: 10.9%, G08: 6.9%, G09: 3.9%, G10: -5.6%[22] - Mid-Cap (Nonlinear Size): - G01: 21.6%, G02: 13.7%, G03: -0.5%, G04: 0.0%, G05: 1.5%, G06: 0.8%, G07: 0.5%, G08: -2.1%, G09: -0.2%, G10: -2.7%[22]