- Model Name: Five-Dimensional Industry Rotation Model; Model Construction Idea: Based on the Dongwu Financial Engineering multi-factor stock selection system, the model is constructed from the micro-level of individual stocks, dividing micro-factors into five categories: volatility, fundamentals, trading volume, sentiment, and momentum[6]; Model Construction Process: The model uses style indicators to classify stocks within industries, constructing intra-industry dispersion and traction indicators to synthesize final industry factors. The five-dimensional industry rotation model includes volatility, fundamentals, trading volume, sentiment, and momentum factors[6]; Model Evaluation: The model effectively captures industry style differences and integrates multiple factors to enhance industry rotation strategies[6] - Model Name: Five-Dimensional Industry Rotation Model for CSI 300 Index Enhancement; Model Construction Idea: The model applies the five-dimensional industry rotation model to enhance the CSI 300 index by selecting top and bottom industries monthly[21]; Model Construction Process: At the end of each month, the top five industries are selected as enhanced industries, and the bottom five industries are excluded. The weights of excluded industries are proportionally reassigned to the enhanced industries, forming a new CSI 300 enhanced portfolio with monthly rebalancing[21] Model Backtest Performance - Five-Dimensional Industry Rotation Model, Annualized Return: 22.01%, Annualized Volatility: 10.78%, IR: 2.04, Monthly Win Rate: 73.55%, Maximum Drawdown: 13.30%[11][15] - Five-Dimensional Industry Rotation Model (Long-Only), Annualized Return: 10.71%, Annualized Volatility: 6.59%, IR: 1.63, Monthly Win Rate: 71.07%, Maximum Drawdown: 9.36%[15][16] - Five-Dimensional Industry Rotation Model for CSI 300 Index Enhancement, Annualized Return: 8.61%, Annualized Volatility: 7.41%, IR: 1.16, Monthly Win Rate: 68.85%, Maximum Drawdown: 12.65%[22] Factor Backtest Performance - Volatility Factor, Annualized Return: 11.57%, Annualized Volatility: 10.12%, IR: 1.14, Monthly Win Rate: 60.32%, Maximum Drawdown: 14.27%[15] - Fundamentals Factor, Annualized Return: 6.80%, Annualized Volatility: 12.14%, IR: 0.56, Monthly Win Rate: 56.35%, Maximum Drawdown: 26.32%[15] - Trading Volume Factor, Annualized Return: 8.83%, Annualized Volatility: 11.72%, IR: 0.75, Monthly Win Rate: 60.32%, Maximum Drawdown: 18.40%[15] - Sentiment Factor, Annualized Return: 8.01%, Annualized Volatility: 12.86%, IR: 0.62, Monthly Win Rate: 64.29%, Maximum Drawdown: 14.79%[15] - Momentum Factor, Annualized Return: 11.54%, Annualized Volatility: 10.67%, IR: 1.08, Monthly Win Rate: 60.80%, Maximum Drawdown: 13.52%[15]

Quantitative Models and Construction Methods 1. Model Name: Five-Dimensional Industry Rotation Model - **Model Construction Idea**: The model is based on the Dongwu Securities multi-factor stock selection system, categorizing micro factors into five dimensions: volatility, fundamentals, trading volume, sentiment, and momentum. It leverages style indicators to classify stocks within industries and constructs final industry factors by combining intra-industry dispersion and traction indicators [6][7] - **Model Construction Process**: 1. Micro factors are categorized into five dimensions using the Dongwu Securities multi-factor classification standard [6] 2. Style indicators are used to classify stocks within industries, creating intra-industry dispersion and traction indicators [6] 3. The final industry factors are synthesized into five categories: volatility, fundamentals, trading volume, sentiment, and momentum [6] - **Model Evaluation**: The model effectively captures intra-industry style differences and integrates multiple dimensions to enhance industry rotation strategies [6] 2. Model Name: Five-Dimensional Industry Rotation Model for CSI 300 Index Enhancement - **Model Construction Idea**: This model applies the five-dimensional industry rotation framework to enhance the CSI 300 Index by overweighting high-scoring industries and underweighting low-scoring ones [22] - **Model Construction Process**: 1. At the end of each month, the top five industries (highest scores) are selected as enhancement industries, and the bottom five industries (lowest scores) are excluded [22] 2. Stocks in excluded industries are removed from the portfolio, and their weights are proportionally redistributed to stocks in enhancement industries [22] 3. The portfolio is rebalanced monthly [22] --- Model Backtesting Results 1. Five-Dimensional Industry Rotation Model - **Annualized Return**: 21.59% - **Annualized Volatility**: 10.77% - **IR**: 2.00 - **Monthly Win Rate**: 73.33% - **Maximum Drawdown**: 13.30% [10][14] 2. Five-Dimensional Industry Rotation Model (Long-Only, Market-Neutral) - **Annualized Return**: 10.52% - **Annualized Volatility**: 6.59% - **IR**: 1.60 - **Monthly Win Rate**: 70.83% - **Maximum Drawdown**: 9.36% [14][15] 3. Five-Dimensional Industry Rotation Model for CSI 300 Index Enhancement - **Annualized Excess Return**: 8.90% - **Annualized Excess Volatility**: 7.50% - **IR**: 1.19 - **Monthly Win Rate**: 69.42% - **Maximum Drawdown**: 12.74% [23] --- Quantitative Factors and Construction Methods 1. Factor Name: Volatility Factor - **Factor Construction Idea**: Measures the dispersion of stock returns within an industry to capture risk-adjusted opportunities [6] - **Factor Construction Process**: 1. Calculate the standard deviation of stock returns within each industry 2. Normalize the values to ensure comparability across industries [6] 2. Factor Name: Fundamentals Factor - **Factor Construction Idea**: Evaluates the financial health and valuation metrics of stocks within an industry [6] - **Factor Construction Process**: 1. Aggregate financial ratios such as ROE, P/E, and P/B for stocks within each industry 2. Normalize and rank the aggregated values [6] 3. Factor Name: Trading Volume Factor - **Factor Construction Idea**: Tracks liquidity and trading activity within industries to identify momentum-driven opportunities [6] - **Factor Construction Process**: 1. Calculate the average trading volume for stocks within each industry 2. Normalize and rank the values [6] 4. Factor Name: Sentiment Factor - **Factor Construction Idea**: Captures market sentiment through price trends and investor behavior within industries [6] - **Factor Construction Process**: 1. Analyze price momentum and news sentiment data for stocks within each industry 2. Aggregate and normalize the sentiment scores [6] 5. Factor Name: Momentum Factor - **Factor Construction Idea**: Identifies industries with strong upward price trends [6] - **Factor Construction Process**: 1. Calculate the relative strength index (RSI) and moving average convergence divergence (MACD) for stocks within each industry 2. Aggregate and normalize the momentum scores [6] --- Factor Backtesting Results 1. Volatility Factor - **Annualized Return**: 11.62% - **Annualized Volatility**: 10.16% - **IR**: 1.14 - **Monthly Win Rate**: 60.00% - **Maximum Drawdown**: 14.27% [14] 2. Fundamentals Factor - **Annualized Return**: 5.66% - **Annualized Volatility**: 9.93% - **IR**: 0.57 - **Monthly Win Rate**: 56.00% - **Maximum Drawdown**: 21.50% [14] 3. Trading Volume Factor - **Annualized Return**: 7.65% - **Annualized Volatility**: 12.11% - **IR**: 0.63 - **Monthly Win Rate**: 58.40% - **Maximum Drawdown**: 18.51% [14] 4. Sentiment Factor - **Annualized Return**: 7.87% - **Annualized Volatility**: 12.91% - **IR**: 0.61 - **Monthly Win Rate**: 64.00% - **Maximum Drawdown**: 14.79% [14] 5. Momentum Factor - **Annualized Return**: 11.69% - **Annualized Volatility**: 10.71% - **IR**: 1.09 - **Monthly Win Rate**: 61.29% - **Maximum Drawdown**: 13.52% [14] 6. Composite Factor - **Annualized Return**: 21.59% - **Annualized Volatility**: 10.77% - **IR**: 2.00 - **Monthly Win Rate**: 73.33% - **Maximum Drawdown**: 13.30% [14]

从微观出发的五维行业轮动月度跟踪 202505 2025 年 05 月 06 日 证券研究报告·金融工程·金工定期报告 金工定期报告 20250506 [Table_Tag] [Table_Summary] 报告要点 证券分析师 高子剑 执业证书：S0600518010001 021-60199793 gaozj@dwzq.com.cn 证券分析师 凌志杰 执业证书：S0600525040007 lingzhj@dwzq.com.cn 相关研究 《从微观出发的五维行业轮动 月度跟踪 202504》 2025-03-31 东吴证券研究所 1 / 9 金工定期报告 内容目录 | 1. 五维行业轮动模型简介 | | --- | | 2. 五维行业轮动模型绩效跟踪 | | 2.1. 五维行业轮动模型评分 | | 2.2. 五维行业轮动模型回测绩效表现 | | 3. 五维行业轮动模型持仓跟踪 | | 4. 五维行业轮动模型的指数增强策略 . | | 5. 风险提示 . | 2 / 9 东吴证券研究所 请务必阅读正文之后的免责声明部分 金工定期报告 图表目录 请务必阅读正文之后的免责声明部分 ◼ 模型多空对冲绩效：以 2 ...