当ETF赛道深陷费率战与规模焦虑时，中证A500指数却以另类姿态撕开市场——这只诞生即被贴上"新锐"标 签的宽基指数，凭借对科创属性与中小市值的倾斜性覆盖，成为近两年机构博弈"贝塔收益"的主战场。 除了密集成立的指数基金以外，截至今年4月，全市场已有26只指数增强产品参与竞逐，不同产品之间分化 剧烈：两只成立时间间隔不到一个月的A500指数增强基金，目前的超额收益差值已经接近10%。 归根结底，A500指数"市值+行业双轮筛选"的编制原则，使得成份股市值和流动性分层显著，为量化模型留 足了"翻石头"的空间。因此，在选择A500指数增强基金时，基金经理的投资能力与增强策略变得至关重 要。 华安基金量化投资部助理总监、基金经理张序的突围密码，藏在八年磨一剑的"行业轮动+多因子"双擎模型 里。通过对行业轮动的深度理解和持续迭代，其管理的华安事件驱动量化基金自2020年执掌以来，连续五 年跑赢偏股混基指数，年化超额收益达9.3%，无论在公募量化还是主动股基均排名前1%。 而当市场还在争论主动量化与被动投资的边界时，华安基金已悄然完成中证A500产品线的战术合围。继 2024年精准卡位A500ETF之后，再次推出了由张 ...

广发证券资深金工分析师 李豪 lhao@gf.com.cn 广发证券首席金工分析师 安宁宁 anningning@gf.com.cn 广发金工安宁宁陈原文团队 摘要 大语言模型在金融领域的应用： 近年来，人工智能技术的快速发展推动了大语言模型(LLMs)的革新。作为最前沿的技术之一，大语言 模型正在广泛应用于各行各业。金融行业作为一个高度依赖数据分析和信息处理的领域，对先进的人工 智能技术有着极大的需求。而LLMs凭借其强大的文本理解能力、信息提取能力以及推理和预测能力， 正在逐步改变传统的金融分析和决策方式，为投资管理、市场分析、风险控制等多个领域带来了新的机 遇。 DeepSeek定量解析基金季报行业观点及行业轮动策略构建： 本文中，我们尝试通过DeepSeekV3模型，对于基金季报观点文本中的行业观点进行定量解析，并以此 出发构建行业轮动策略。具体来看，首先我们筛选存续时间较长的主动型权益基金样本，并提取样本基 金不同季度报告期季报中的观点部分文本；而后我们将观点文本输入至DeepSeek模型，加入特定提示 词控制输出的格式，并基于输出结果构建基金季报行业观点指标；最后我们基于基金季报行业观点指标 及观 ...

Group 1 - The core viewpoint of the article emphasizes the transformative potential of Large Language Models (LLMs) in the financial sector, particularly in investment management, market analysis, and risk control [1][7][8]. - LLMs can process vast amounts of unstructured data, such as news articles, social media, and financial reports, enabling faster access to critical information for investors [7][8]. - The DeepSeek model, a representative of advanced LLMs, showcases strong reasoning capabilities and cost-effectiveness, making high-performance AI technology more accessible [13][19]. Group 2 - The article discusses the quantitative analysis of fund quarterly reports using the DeepSeek V3 model to extract industry viewpoints and construct industry rotation strategies [2][22]. - Approximately 18,000 quarterly report texts were analyzed, focusing on active equity funds with a significant equity position over the past five years [26][31]. - The analysis revealed that the proportion of bullish and bearish viewpoints on various industries varies significantly, with certain sectors like electronics and pharmaceuticals receiving more attention [41][42]. Group 3 - The construction of industry viewpoint indicators is based on the quantitative analysis results, leading to the development of 14 indicators to capture the sentiment towards different industries [56][60]. - The article outlines various strategies for industry rotation based on the constructed indicators, highlighting the performance of different combinations during market conditions [62][66]. - The findings suggest that industries with high attention and bullish sentiment tend to perform better, while those with low attention and bearish sentiment may underperform [75][76].

Group 1: Industry Insights - The drug regulatory authority has introduced a new data protection policy for drug trial data, granting 6 years of protection for innovative drugs and 3 years for improved and first-generic drugs [3] - The policy aims to accelerate the development of innovative drugs through faster approval processes and supportive pricing and reimbursement policies, particularly for differentiated innovative drugs [3] - The performance of major drug varieties is expected to accelerate, with significant growth anticipated for PD-1/IL-2 drugs by 2025 [3] Group 2: Automotive and Chip Industry - Local governments are promoting the implementation of L3 autonomous driving, particularly in cities like Beijing and Wuhan, supported by legal frameworks [4] - The cost of intelligent driving systems is significantly decreasing, with expectations that models priced above 150,000 yuan will standardize high-level intelligent driving systems [4] - Horizon Robotics, a leading domestic intelligent driving chip manufacturer, is expected to ship over 10 million units of its chips by 2025 [4] Group 3: Nuclear Fusion Industry - The nuclear fusion sector is attracting significant investment and participation from various companies, with strong government support for its development [5] - The U.S. is constructing the world's first commercial nuclear fusion power plant, with notable advancements in plasma confinement and fusion power output from international facilities [5] - The advantages of nuclear fusion power include stability and minimal greenhouse gas emissions, which are driving interest in the sector [5] Group 4: Chemical Industry - The demand structure for chromium salts is changing, with significant growth expected in the aerospace sector due to the material's properties [6] - Global gas turbine orders are projected to increase from 40 GW/year in 2023 to 80 GW/year by 2026, driving demand for chromium salts [6] - The chemical sector is anticipated to enter a restocking cycle as inventory levels are low and demand is expected to rebound [6]