金融工程 | 金工定期报告 金融工程 证券研究报告 2025 年 05 月 11 日 量化择时周报：重大事件落地前维持中性仓位 重大事件落地前维持中性仓位 上周周报(20250505)认为：在风险偏好承压叠加市场格局触发下行趋势， 全 A 指数的 30 日均线构成压力位，但考虑到估值不高，建议在压力位突 破前维持中性仓位。最终 wind 全 A 周二突破 30 日均线，随后迎来上涨。 市值维度上，上周代表小市值股票的中证 2000 上涨 3.58%，中盘股中证 500 上涨 1.6%，沪深 300 上涨 2%，上证 50 上涨 1.93%;上周中信一级行业中， 表现较强行业包括国防军工、通信，国防军工上涨 6.44%，消费者服务、房 地产表现较弱，消费者服务微涨 0.3%。上周成交活跃度上，军工和通信资 金流入明显。 和解读行业研报（ 2025W18 ）》 2025-05-06 从择时体系来看，我们定义的用来区别市场整体环境的 wind 全 A 长期均 线（120 日）和短期均线（20 日）的距离开始收窄，最新数据显示 20 日 线收于 4946，120 日线收于 5088 点，短期均线继续位于长线均线之下， ...

Quantitative Models and Construction Methods 1. Model Name: Timing System Signal (Wind All A Index Long-term and Short-term Moving Averages) - **Model Construction Idea**: The model uses the distance between the 120-day long-term moving average and the 20-day short-term moving average of the Wind All A Index to identify the overall market environment and potential trend shifts[2][9]. - **Model Construction Process**: - Calculate the 20-day moving average (short-term) and the 120-day moving average (long-term) of the Wind All A Index. - Compute the relative distance between the two moving averages: $$ \text{Distance} = \frac{\text{20-day MA} - \text{120-day MA}}{\text{120-day MA}} $$ - A negative distance indicates the short-term average is below the long-term average, signaling a potential downtrend. Conversely, a positive distance suggests an uptrend[2][9]. - **Model Evaluation**: The model effectively identifies the market's transition to a downtrend when the distance narrows and becomes negative, providing actionable insights for timing decisions[2][9]. 2. Model Name: Industry Allocation Model - **Model Construction Idea**: This model identifies medium-term industry allocation opportunities by focusing on sectors with turnaround potential or strong growth drivers[2][10]. - **Model Construction Process**: - Analyze industry-specific metrics and trends to identify sectors with "distressed reversal" characteristics or those benefiting from structural growth themes. - Recommended sectors include: - Healthcare (e.g., Hang Seng Medical) - Low-valued sectors like new energy and consumer-related industries - Technology sectors driven by domestic substitution, such as AI chips and information innovation (Xinchuang)[2][10]. - **Model Evaluation**: The model provides a systematic approach to identifying sectors with medium-term growth potential, aligning with macroeconomic and structural trends[2][10]. 3. Model Name: TWO BETA Model - **Model Construction Idea**: This model focuses on identifying high-growth sectors, particularly in technology, by leveraging beta factors[2][10]. - **Model Construction Process**: - Analyze beta coefficients of various sectors to identify those with higher sensitivity to market movements. - Emphasize sectors like technology, including AI chips and information innovation, which are expected to outperform due to domestic substitution trends[2][10]. - **Model Evaluation**: The model effectively highlights high-growth sectors, particularly in technology, aligning with market trends and policy support[2][10]. 4. Model Name: Position Management Model - **Model Construction Idea**: This model determines optimal equity allocation levels based on valuation and trend signals[3][10]. - **Model Construction Process**: - Use valuation metrics such as PE and PB ratios of the Wind All A Index: - PE is at the 50th percentile, indicating a moderate valuation level. - PB is at the 20th percentile, indicating a relatively low valuation level. - Combine valuation insights with trend signals (e.g., moving average distances) to recommend a 50% equity allocation for absolute return products[3][10]. - **Model Evaluation**: The model provides a balanced approach to equity allocation, considering both valuation and trend factors[3][10]. --- Model Backtesting Results 1. Timing System Signal - **Distance between 20-day and 120-day moving averages**: -3.08% (indicating a narrowing gap and a potential downtrend)[2][9][13] - **Profitability Effect**: -1.7% (indicating negative short-term market sentiment)[2][10][13] 2. Position Management Model - **PE Ratio**: 50th percentile (moderate valuation level)[3][10] - **PB Ratio**: 20th percentile (relatively low valuation level)[3][10] - **Recommended Equity Allocation**: 50% for absolute return products[3][10] 3. Industry Allocation Model - **Recommended Sectors**: - Healthcare (e.g., Hang Seng Medical) - New energy and consumer-related industries - Technology sectors (e.g., AI chips, information innovation)[2][10][13] 4. TWO BETA Model - **Recommended Sectors**: - Technology sectors, including AI chips and information innovation, driven by domestic substitution trends[2][10][13]