金融工程专题报告 公司治理专题系列报告二：基于多因子框架的中证 500 指数增强模型 证券分析师 王雪莹 022-23839121 wangxy4430@bhzq.com 核心观点： 研究背景与理论介绍 在 A 股市场的指数体系中，中证 500 是量化投资领域指数增强策略的 重要标的，该指数完整覆盖 31 个申万一级行业，包含电子、医药生物、 电力设备等多个战略性新兴产业，成分股多为处于成长期的优质企业， 兼具流动性与成长性双重优势，其成分股权重结构呈现出极致分散、风 险高度均衡的特征。截至 2026 年 3 月 18 日，以中证 500 指数为跟踪 标的的基金全市场合计达 249 只，总管理规模 1982.02 亿元，其中指 数增强型基金数量达 169 只，规模合计 565.19 亿元。 从投资逻辑来看，公司治理水平是决定企业长期健康发展的核心内生动 力，更是影响股票长期收益的关键因素。良好的公司治理能够有效规范 企业经营行为、优化资源配置效率、保护股东权益，进而提升企业的核 心竞争力与盈利能力，而财务指标作为企业经营成果与治理水平的量化 载体，能够直观、准确地反映企业的治理效率与经营质量，是筛选优质 标的 ...

Summary of Conference Call Notes Industry or Company Involved - The discussion revolves around the **industry rotation model** and its factorization within the context of quantitative investment strategies. Core Points and Arguments - The traditional price-volume factors tend to favor reversal strategies, which may fail in rapidly rising market conditions, creating an opportunity for strong momentum characteristics in industry rotation model factorization [1] - Traditional quantitative industry rotation models aim for excess stability, which often contrasts with investors' desire for high elasticity in industry targets; however, robust excess returns and long-short performance provide a foundation for the factorization of industry rotation models [1] - The **Shenwan Jinkong industry rotation model** has been transformed into a stock selection factor, achieving a monthly Information Coefficient (IC) of **5.3%** and an Information Coefficient Information Ratio (ICIR) of **4.0**, indicating excellent performance with high elasticity and strong aggressiveness in recent years [1] - Incorporating industry rotation factors into traditional multi-factor frameworks can effectively improve the stability of excess returns, continuously contributing to excess returns over the past two years [1] Other Important but Possibly Overlooked Content - In the context of the index enhancement framework, optimizing industry constraints may somewhat limit the performance of industry rotation factors; it is suggested to consider relaxing industry constraints moderately while maintaining personal deviation constraints to enhance excess returns and reduce maximum drawdown, with tracking error remaining nearly unchanged [2]

Core Viewpoint - The collective failure of traditional price and volume factors since 2026 has led to the emergence of a momentum-based industry rotation model, which provides a potential solution for enhancing portfolio stability and excess returns [1][4][54]. Group 1: Industry Rotation Model Characteristics - The industry rotation factor has shown strong characteristics, with a monthly Information Coefficient (IC) of 5.3% and an Information Coefficient Information Ratio (ICIR) of 4.0, indicating its robust performance [26][54]. - The industry rotation model has been effective in improving performance within traditional multi-factor frameworks, significantly enhancing excess returns and halting the decline in excess performance seen in recent years [2][54]. Group 2: Challenges and Conflicts - The industry rotation factor faces conflicts with the industry deviation constraints commonly used in index-enhanced frameworks, which can negatively impact its effectiveness [2][54]. - When applying the standard industry deviation constraint of 2% and individual stock deviation of 0.5%, the performance of the portfolio has declined, with excess returns turning negative in 2025 [2][54]. Group 3: Optimal Usage Strategy - The best approach for utilizing the industry rotation factor is to maintain the individual stock deviation constraint at 0.5% while relaxing the industry deviation constraint from 2% to 5%, which has shown to improve overall excess returns and reduce maximum drawdowns [3][54]. - Increasing the industry deviation to 4% or 5% has resulted in better overall performance, with maximum drawdowns decreasing, indicating a balanced approach to enhancing excess returns while controlling risk [3][54].

Report Industry Investment Rating No information provided in the content. Core Viewpoints of the Report - The collective failure of traditional quantitative and price factors in 2026 is related to their reverse logic, providing a scenario for the factorization of the industry rotation model with momentum characteristics [2]. - The industry rotation model has long lacked practical use scenarios, but its stability in excess returns meets the requirements of stock - selection factors, laying a foundation for its transformation into a stock - selection factor [2]. - The industry rotation factor has good factor characteristics, with a monthly IC of 5.3% and an ICIR of 0.40, and it can enhance the performance of the traditional multi - factor model [2][30]. - The industry rotation factor conflicts with the industry deviation constraints in the index - enhancement framework, but it still contributes to stock - selection and cannot be replaced by simple industry over - under - weighting or portfolio strategies [2][61]. - Keeping the individual stock deviation constraint at 0.5% while relaxing the industry deviation constraint is currently the best way to use the industry rotation factor [2][62]. Summary by Relevant Catalogs 1. Finding a Usage Scenario for the Industry Rotation Model: Starting from the Failure of Quantitative and Price Factors - Since 2026, index - enhancement funds tracking the CSI 500 index and active quantitative funds' quasi - index products have mostly underperformed the CSI 500 index. As of the end of January, all CSI 500 index - enhancement products underperformed the index, with an average underperformance of 3.46%, and active quantitative products underperformed by 1.96% on average [5]. - The main failed factors are quantitative and price factors such as liquidity, reversal, low - volatility, and market value, whose logic is mostly reverse - oriented. In the context of a rapid rise in the index and continuous driving of some popular sectors and themes in January, these factors not only failed but also reversed [7]. - The industry rotation model is a strongly momentum - driven model. The Shenwan Hongyuan Industry Rotation Model emphasizes momentum in its technical, fundamental, and capital aspects, and can complement traditional quantitative and price factors with reverse logic [10]. - The industry rotation model has long lacked practical use scenarios. Its long - only portfolio performance is not outstanding, and its stable excess return relative to the average of all industries has no practical significance for most investors [13][16]. 2. Factorization of the Industry Rotation Model - Transforming the industry model into a stock - selection model is relatively easy. By splicing the scores of each stock's industry in the industry model, a stock - based score can be obtained. However, due to the large number of stocks belonging to the same industry, the factor shows a segmented score characteristic, and orthogonal processing is required [22]. - The monthly IC of the original industry rotation factor has a correlation of over 0.4 with the growth factor. After orthogonalizing the original industry rotation factor against the growth factor, its performance shows good monotonicity, and its cumulative IC and long - short performance are excellent [23][25]. - From 2017 to January 2026, the monthly average IC of the industry rotation factor reached 5.3%, stronger than other traditional factors, and the ICIR was 0.40, ranking third, indicating excellent factor characteristics [30]. 3. Usage and Comparative Analysis of the Industry Rotation Factor - **Comparison of Four - Factor and Five - Factor Models**: Adding the industry rotation factor to the four - factor equal - weighted model to form a five - factor model can significantly improve the model's performance, especially in recent years, enhancing the model's offensive ability in a bull market and the stability of excess returns [35][38]. - **Factor Equal - Weighting vs. ICIR Weighting**: Changing the factor weighting method from simple equal - weighting to ICIR weighting does not show better results. The five - factor equal - weighted combination with the industry rotation factor performs best in each year and is the only combination with positive excess returns in all years [39]. - **Moving towards the Index - Enhancement Framework: Adding Industry Neutrality and Individual Stock Deviation Constraints**: Adding industry deviation and individual stock constraints to the model makes the industry rotation factor conflict with the industry deviation constraint. Although it can control the maximum drawdown in some years, it also reduces the performance of the five - factor model in terms of returns in some cases. In 2025, the annual excess return becomes negative after adding constraints [41][42]. - **Method of Constraining Industry Deviation Ranking through Industry Scoring**: Using industry scoring to control industry deviation ranking without using the industry rotation factor for stock - selection results in weaker performance compared to the five - factor model with industry and individual stock constraints. This method is not the best option [44]. - **Multi - Strategy Portfolio: Using Industry Rotation as a Satellite Portfolio "Platter"**: Using the industry rotation factor as a separate strategy to form a satellite portfolio and combining it with a four - factor portfolio does not show obvious advantages. The performance of the "platter portfolio" is difficult to outperform, and only the 3:7 ratio combination has a slight competitive edge, but it also shows negative excess returns in January 2026 [50]. - **Current Best Solution: Relaxing Industry Deviation while Maintaining Individual Stock Deviation Constraints**: Keeping the individual stock deviation constraint at 0.5% and relaxing the industry deviation constraint to 4% or 5% can improve the overall excess return of the portfolio, reduce the maximum drawdown of excess returns, and have a negligible impact on tracking error. This is currently the best way to use the industry rotation factor [53][57]. 4. Summary - The industry rotation model has long lacked practical use scenarios, but its stability characteristics provide a basis for its transformation into a stock - selection factor. - The industry rotation factor has good characteristics and can enhance the performance of the traditional multi - factor model, but it conflicts with the industry deviation constraint in the index - enhancement framework. - The industry rotation factor contributes to stock - selection and cannot be replaced by simple strategies. Relaxing the industry deviation constraint while maintaining the individual stock deviation constraint is the best solution [60][61][62].