量化多头策略迎大考 行业竞争步入精细化比拼阶段
Zhong Guo Zheng Quan Bao·2025-11-20 20:08

Core Insights - The A-share market is experiencing high volatility with a decline in the performance of technology growth stocks, leading to a noticeable decrease in individual stock profitability [1][2] - Quantitative long strategies are facing significant challenges due to factor decay, rising costs, and stricter regulations, prompting a shift towards platformization, AI integration, and multi-strategy approaches [1][3] Performance Challenges - Since November, the market has entered a phase of index volatility and stock differentiation, putting pressure on quantitative long strategies [2] - Despite a marginal decline in market profitability in October, quantitative long products achieved an average return of approximately 0.93% and an excess return of 1.5%, outperforming subjective long strategies [1][2] - There is a clear performance divergence among leading and mid-tier quantitative firms in terms of excess returns since the fourth quarter [1][2] Strategy Iteration - The market's complexity has highlighted the operational challenges and evolution directions of quantitative strategies [3] - Key challenges identified include the decline in factor effectiveness, rising trading costs, and the need for compliance with regulatory requirements [3] - Leading firms are adopting multi-dimensional iterations, such as enhancing trend prediction across all frequency bands and improving algorithms to control slippage [3][4] Competitive Landscape - The year 2025 is anticipated to be favorable for quantitative strategies, with significant growth in performance, fundraising, and product registration [5] - The proportion of quantitative product registrations has increased significantly, with quantitative long products leading this growth [5] - The competition in the quantitative industry is shifting from isolated algorithm breakthroughs to comprehensive system engineering [5][6] - The deep application of AI and machine learning is becoming a driving force in quantitative strategy development [5][6] Future Outlook - The market is witnessing a concentration of resources towards leading firms with stable operations and robust performance [6] - The consensus in the industry suggests that quantitative long strategies will focus on refining existing frameworks rather than making disruptive changes [6]