本报记者 昌校宇 由王鹏掌舵的中信建投中证A500指数增强基金即将发行，该产品将通过量化模型在跟踪基准指数的基 础上获取稳定超额收益。王鹏介绍称："指数增强策略的核心在于利用'AI技术+量化模型'对成份股进行 精细化筛选和动态权重优化。团队通过深度学习模型处理多维信息，包括量价数据、基本面指标、宏观 政策甚至文本信息，从而更精准地预测个股未来表现。" 近年来，指数化投资呈现蓬勃发展态势，越来越受到机构投资者和个人投资者的青睐。在这一趋势下， 人工智能与量化模型的深度融合，为指数增强策略开辟了新的发展空间。 近日，中信建投基金指数与量化投资部行政负责人王鹏在接受《证券日报》记者专访时表示："指数化 投资不仅是产品创新的重要方向，更是实现投资者利益最大化的有效工具。而通过'AI+量化'赋能的指 数增强基金，能够在更精准地进行风险控制和资产配置的同时，力争为投资者创造持续超越市场的长期 回报。" 增强回报稳定性 近年来，境内指数化投资的快速发展深刻改变了公募基金行业的产品布局和竞争格局。王鹏表示，指数 基金凭借其低成本、高透明度和分散风险等特点，吸引了大量资金流入，促使基金公司不断优化产品 线，提升投资策略的精细化 ...

Group 1 - The core viewpoint is that index investing is rapidly growing in popularity among both institutional and individual investors, with AI and quantitative models enhancing index strategies [1][2] - Index funds are attracting significant capital due to their low cost, high transparency, and risk diversification, leading to a shift in the public fund industry's product layout and competitive landscape [1][2] - The integration of AI technology and quantitative models in index-enhanced funds allows for better risk control and asset allocation, aiming to provide investors with sustainable long-term returns that exceed market performance [1][3] Group 2 - The China Securities Regulatory Commission's action plan aims to transform the public fund industry from focusing on scale to prioritizing returns, aligning with the principles of index investing [2] - The newly launched CSI A500 index is gaining attention for its balance of market capitalization representation and industry diversity, with plans for an index-enhanced fund to be issued [3] - The index-enhanced strategy utilizes AI and quantitative models for precise stock selection and dynamic weight optimization, aiming to achieve stable excess returns while controlling tracking error [3][4] Group 3 - The company has developed a comprehensive quantitative research framework that incorporates advanced technologies like large language models and graph neural networks to extract valuable signals from unstructured data [4] - Dynamic risk management and adaptive optimization mechanisms are key features of the model, ensuring effectiveness across different market conditions through high-frequency backtesting and stress testing [4] - The future of index investing looks promising, with expectations of growth driven by the maturation of China's capital markets and the diversification of investor structures [5] Group 4 - Recommendations for investors selecting index-enhanced funds include evaluating the quantitative research capabilities of fund managers, assessing historical performance, and aligning choices with personal risk preferences and investment goals [5] - Index investing is seen as a necessary trend in market development and a vital approach for the public fund industry to uphold the principle of prioritizing investor interests [5]

本文首发于公众号"私募排排网"。 （点击↑↑ 上图查看详情 ） 近期，又一家国内头部量化私募下场做AI，并取得瞩目成果。5月15日，念空科技与上海交大计算机学院合作向国际NIPS投递了的大模型研究论 文《面向特定任务大型语言模型的监督微调与强化学习分步式自适应集成》，探讨"自适应混合训练方法论"。同时在5月19日，念空科技还成立 了上海全频思维人工智能科技有限公司，专注前沿AI研究。 资料显示， 念空科技成立于 2015年，旗下拥有两家量化私募念觉资产、念空数据科技，是国内较早将AI应用于金融领域的头部量化私募。 公 司配备高性能GPU集群的服务器，目前深度学习为主的机器学习算法已全面替代传统统计套利策略，应用于公司全部股票策略产品中。 在 AI加持下，念空科技旗下两家量化私募的业绩表现较为亮眼， 私募排排网有业绩显示的量化产品共4只，近1年收益均值高达 ***% 。其中念 空科技创始人王啸管理的两只产品"念觉中证1000指数增强18号1期"、"念觉量臻量化精选优盛1号"近1年收益分别高达 ***%、***% 。（ 点此 查看收益 ） [应合规要求，私募基金不能公开展示业绩，文中涉及收益数据用***替代，合格 ...