主动量化策略周报：红利风格抗跌，四大主动量化组合本周均战胜股基指数-20260307

Core Insights - The report highlights that the active quantitative strategies have outperformed the stock-based index across four major combinations, with a focus on absolute and relative returns [1][12][13]. Group 1: Performance Overview - The Excellent Fund Performance Enhancement Combination achieved an absolute return of -1.55% this week and a year-to-date return of 9.22%, outperforming the stock-based mixed fund index by 1.16% and 3.72% respectively [1][21]. - The Exceeding Expectations Selected Combination recorded an absolute return of -2.47% this week and a year-to-date return of 12.09%, with a relative outperformance of 0.24% and 6.59% against the stock-based mixed fund index [1][28]. - The Broker Golden Stock Performance Enhancement Combination had an absolute return of -1.45% this week and a year-to-date return of 12.40%, outperforming the stock-based mixed fund index by 1.25% and 6.90% respectively [1][33]. - The Growth Stability Combination reported an absolute return of -1.31% this week and a year-to-date return of 16.78%, with a relative outperformance of 1.39% and 11.28% against the stock-based mixed fund index [1][41]. Group 2: Strategy Descriptions - The Excellent Fund Performance Enhancement Combination is constructed by benchmarking against active stock funds rather than broad indices, utilizing quantitative methods to enhance performance based on the holdings of top-performing funds [3][17]. - The Exceeding Expectations Selected Combination focuses on stocks that meet specific criteria for exceeding expectations, selecting stocks based on both fundamental and technical analysis to create a robust portfolio [4][22]. - The Broker Golden Stock Performance Enhancement Combination is built using a stock pool from broker recommendations, optimizing the combination to minimize deviations from the stock pool while aiming for superior performance [5][29]. - The Growth Stability Combination employs a two-dimensional evaluation system for growth stocks, prioritizing stocks closer to their earnings announcement dates and using multi-factor scoring to select high-quality stocks [6][34].