"券商金股"组合既能够体现总量分析师（如宏观、策略、金融工程等团队）自上而下的行业、板块及风格配置能力，又能够反映行业分析师自下而上的选股能力， 是券商研究所研究实力核心竞争力的体现。 在国信金工团队2022年2月18日发布的专题报告 《券商金股全解析——数据、建模与实践》 中，我们发现 券商金股股票池能够较好地跟踪偏股混合型基金指数的表 现 。基于这一特征，我们通过多因子的方式从券商金股股票池中进行优选。实证结果显示，该方法构建的组合历史表现稳健，2018年到2024年每年都能稳定战胜偏 股混合型基金指数，在公募主动股基中每年都排在前30%的水平。 本报告我们对券商金股股票池的历史表现进行回顾，对本月券商金股的行业、风格特征进行分析，并对券商金股业绩增强组合的表现进行跟踪，以供投资者参考。 一 券商金股股票池上月回顾 表1展示了2026年2月的券商金股股票池中，月度涨幅最高的10只股票，其中炬光科技、东方钽业、天孚通信等股票的月度上涨幅度靠前。 | | | 表1: 2026年2月券商金股股票池中涨幅最高 TOP10 | | | | --- | --- | --- | --- | --- | | 股票代码 | ...

Core Viewpoint - The article discusses the recent reforms in the public fund industry, particularly the establishment of performance benchmarks, which are expected to enhance the quality of public funds and provide clearer investment goals for investors [2][24]. Group 1: Performance Benchmarks - The public fund industry has introduced a performance benchmark system, which includes a classification of benchmark elements, aimed at improving fund performance evaluation [2]. - Investors are encouraged to align their investment goals with these benchmarks, particularly in actively managed equity products, where the goal should be to outperform the average market performance [3]. Group 2: Market Average and Active Equity Funds - Defining the market average is crucial; for those aiming to outperform indices like the CSI 300 or the CSI 500, selecting corresponding enhanced index products is likely to meet their objectives [4]. - The Wind偏股混合基金指数 (885001) has shown a consistent ability to outperform mainstream broad-based indices over the past decade, reflecting the alpha generation of actively managed equity funds [4][5]. Group 3: Historical Performance Data - Historical data shows that the偏股混合型基金指数 has had varied performance from 2016 to 2025, with notable years such as 2019 and 2020 where it achieved returns of 45.02% and 55.91% respectively [5]. - The percentage of actively managed equity funds that consistently outperform the偏股混合基金指数 over five years is below 5%, indicating the rarity of such funds [8]. Group 4: Quantitative Investment Strategies - Quantitative investment strategies are highlighted as a more reliable method for investors to achieve returns above the market average, as they leverage disciplined models to identify outperforming products [10][11]. - The 华安事件驱动量化混合 fund, managed by Zhang Xu, has consistently outperformed its benchmarks since its management began in 2020, showcasing the effectiveness of quantitative strategies [12][13]. Group 5: Fund Management and Strategy - Zhang Xu employs a comprehensive quantitative investment system that integrates various analytical models to enhance fund performance, focusing on industry rotation and stock selection strategies [15][20]. - The fund's strategy aims for excess returns while maintaining a secondary focus on tracking error, utilizing a combination of micro, macro, and event-driven analyses [20][21].