Core Insights - The report emphasizes the construction of an AI-based low-frequency index enhancement strategy using deep learning frameworks to build alpha and risk models [3][14]. - The performance of various index enhancement funds has been highlighted, showing significant excess returns compared to their respective indices [10][11]. Market Index Performance - As of December 5, 2025, the Shanghai Composite Index rose by 0.37%, the Shenzhen Component Index increased by 1.26%, and the CSI 300 Index gained 1.28% [7][8]. - The year-to-date performance shows the CSI 300 Index up by 16.5%, while the CSI 300 index enhancement portfolio increased by 26.2%, resulting in an excess return of 9.7% [18]. Index Enhancement Fund Performance - For the CSI 300 index enhancement fund, the minimum excess return was -1.28%, the median was 0.11%, and the maximum was 0.95% for the week ending December 5, 2025 [10][11]. - Year-to-date, the CSI 500 index enhancement fund showed a minimum excess return of -10.18%, a median of 3.15%, and a maximum of 13.55% [11]. Tracking Portfolio Performance - The report outlines the construction of enhancement portfolios for the CSI 300, CSI 500, and CSI 1000 indices, utilizing deep learning to optimize alpha and risk signals [14][15]. - The CSI 500 index enhancement portfolio has achieved a year-to-date return of 30.3%, outperforming the CSI 500 index, which rose by 24.0%, resulting in an excess return of 6.4% [23][24]. Specific Index Enhancement Performance - The CSI A500 index enhancement portfolio has increased by 28.4% year-to-date, compared to a 19.6% rise in the CSI A500 index, yielding an excess return of 8.7% [29][32]. - The CSI 1000 index enhancement portfolio has shown a year-to-date increase of 38.0%, significantly outperforming the CSI 1000 index, which rose by 23.2%, leading to an excess return of 14.8% [35][36].
市场震荡反弹,指增组合超额收益修复