Core Insights - The quant private equity sector is witnessing significant advancements in AI technology, with firms like Jiukun Investment launching new initiatives and models to enhance their capabilities in software engineering and competitive programming [1][3] - The establishment of the Zhizhi Innovation Research Institute by Jiukun Investment marks a strategic move to accelerate AI application in various fields, focusing on original contributions to cutting-edge AI research [2][3] - The trend of quant firms forming AI labs and research institutes is accelerating, indicating a shift towards deeper integration of AI technologies in investment strategies and operations [3][5] Group 1: New Developments in AI Models - Jiukun Investment announced the open-source release of the IQuest-Coder-V1 series, a code intelligence model that excels in tasks such as automatic programming and bug fixing, positioning itself among the leading open-source code models [1] - DeepSeek introduced a new architecture called mHC, aimed at addressing instability issues in large-scale model training while maintaining performance gains, further igniting the competitive landscape in AI [1] Group 2: Research and Development Focus - The Zhizhi Innovation Research Institute has produced high-quality work in areas such as large language models and AI applications in healthcare, with notable recognition at the 2025 NeurIPS conference [2] - The institute aims to leverage the complex financial scenarios faced by quantitative investment to enhance AI's practical applications, emphasizing the need for extreme performance in engineering and data capabilities [2] Group 3: Industry Trends and Shifts - Since the emergence of DeepSeek, many quant firms have established AI labs, indicating a rapid increase in investment and focus on AI technologies within the quant sector [3] - The core competitive advantage in the quant industry is shifting from capital size to the speed of model and algorithm iteration, suggesting a deeper competition akin to that in the tech sector [5] - The new AI initiatives are characterized by a foundational research approach, increased openness in collaboration, and applications extending beyond traditional financial markets [5]

衡宇 发自 凹非寺 量子位 | 公众号 QbitAI 好，看到这里我盲猜很多人肯定已经开始边摇头边笑了。 毕竟这年头，benchmark的权威犹在，但说服力似乎已经大不如前了。 那咱们就 看看这个模型跑出来的case —— Prompt：编写一个网页来展示一个逼真的太阳系模拟。 然后你将得到： 又一个中国新模型被推到聚光灯下，刷屏国内外科技圈。 IQuest-Coder-V1模型系列 ，看起来真的很牛。 在最新版SWE-Bench Verified榜单中，40B参数版本的IQuest-Coder取得了81.4%的成绩，这个成绩甚至 超过了Claude Opus-4.5和GPT- 5.2 （这俩模型没有官方资料，但外界普遍猜测参数规模在千亿-万亿级） 。 Oh～Tiny Core, Titan Power。 可以自由切换各种视角，让画面暂停、放大，调整公转速度也ok。 选中具体的行星，还会跳出相应的名字和简单介绍。 目前，这套代码大模型系列已经在GitHub和抱抱脸上开源 。 有一个重点一定要划！！！ 这个模型团队IQuest，和DeepSeek团队一个路数，都出自中国的量化私募。 背后公司就是北京版幻方量化— ...

Group 1 - The core viewpoint of the article emphasizes that the "cross-year market" period is characterized by significant industry rotation and style switching rather than a straightforward market trend, with historical patterns indicating mixed performance across indices [2][4]. - Over the past decade, major broad-based indices have shown an average decline during the cross-year period, with the average returns for the CSI 500, CSI 1000, and National 2000 indices in January being -4.71%, -6.67%, and -6.68% respectively, indicating a win rate below 50% [2][4]. - The Shanghai Composite 50 and CSI 300 indices have shown average returns of -0.72% and -1.54% in January, with a win rate of 50% over the last ten years, suggesting a relatively stronger performance compared to smaller indices [2][4]. Group 2 - The article highlights that the characteristics of the cross-year market are not indicative of a general beta market trend, but rather a "defensive December and strong differentiation in January" structure, with defensive sectors performing better in December [7][12]. - In January, the banking sector has consistently outperformed other sectors, maintaining a position among the top five in terms of monthly returns, except for 2020 and 2023 [7][12]. - The average returns for most sectors in January have been negative, with many sectors showing win rates of only 30-40%, indicating a lack of broad-based gains and a tendency for performance differentiation [7][12]. Group 3 - Historical statistics suggest that the cross-year phase is not a favorable period for quantitative long strategies to achieve excess returns, but rather exposes differences in strategy concentration, drawdown control, and volatility adaptation [12]. - For investors holding quantitative long private equity funds, the focus during the cross-year period should be on assessing the ability of their products to maintain net value stability in a volatile and differentiated environment [12]. - From an asset allocation perspective, it is advisable to consider complementary configurations of styles and assets to smooth out portfolio volatility, particularly given the banking sector's relative strength in January [12].

Group 1 - Multiple money market funds in China have recently announced purchase limits, with a cap of only 10,000 yuan, to prevent arbitrage activities despite regulatory efforts [1] - The average annualized yield for several money market funds has dropped below 1%, prompting fund companies to implement purchase limits to protect existing investors [1] - The quantitative private equity industry is expected to see a full recovery by 2025, driven by active trading volumes and the structural market environment, with AI technology reshaping the competitive landscape [1] Group 2 - The Ministry of Finance reported that stamp duty revenue reached 404.4 billion yuan from January to November, a year-on-year increase of 27%, with securities transaction stamp duty rising by 70.7% to 185.5 billion yuan [2] - The overall public budget revenue for the same period was 20.05 trillion yuan, reflecting a growth of 0.8% year-on-year, with tax revenue increasing by 1.8% to 16.48 trillion yuan [2] - Key sectors such as equipment manufacturing and modern services showed strong tax performance, with notable growth in the computer and communication equipment manufacturing sector at 14.1% [2] Group 3 - The recent adjustment in the Hong Kong stock market has led to a surge in public fund issuance, with several new funds announcing early closures to capitalize on market corrections [5] - The rapid fundraising and swift investment strategies indicate a strong belief in the current market's value, with many funds aiming to take advantage of the downturn [5] - The lithium carbonate futures on the Dalian Commodity Exchange saw significant increases, with the main contract nearing 110,000 yuan per ton, positively impacting the A-share lithium mining sector [5] Group 4 - The A-share market has experienced a notable structural trend this year, with private equity quantitative long strategies achieving an average excess return of over 17% [7] - The National Social Security Fund is increasing investments in technology innovation sectors, with significant share increases in companies like Hangyang Co., Jinpeng Technology, and AVIC Optical [7] - The recent major asset restructuring plan by CICC involves a share swap merger with Dongxing Securities and Xinda Securities, marking a significant development in the securities industry [8]

展望未来，袁宇认为，过去量化私募主要依靠算法生成股票预测信号，而如今AI技术已被嵌入数据清 理、特征提取、组合优化、交易执行等整个投研流程。强化学习、深度学习等前沿技术也助力量化私募 在风险控制与资产配置等环节实现动态优化。"总体来看，行业的核心竞争力正从资金规模转向模型与 算法的迭代速度，越来越多的量化私募将更像科技公司。" 谈及全球竞争格局，袁宇表示，海外不少量化模型长期在全球市场中占据压倒性优势，但过去一年，中 国本土量化投资策略的实战表现已超越海外头部机构。他认为，这一突破的根本原因在于：其一，中国 拥有活跃且持续成长的资本市场，为模型持续优化提供了充足的数据支持；其二，本土人才优势日益凸 显，无论是AI科研人才还是金融数据分析师，都为量化私募的快速发展奠定了坚实基础。 12月16日，在2025南通投资大会暨上证多层次资本市场高质量发展大会上，鸣石基金总经理袁宇在发表 主题演讲时表示，国内量化私募行业的发展本身就是科技驱动的。如今，量化私募与人工智能的深度融 合，正推动本土资产管理行业迈向新的竞争格局。 袁宇介绍，中国量化基金的起步与2010年沪深300股指期货的推出密切相关，并在2019年进入高速发 ...

◎记者 孙小程 马嘉悦 江海交汇处，资本新沃土。 在擘画"十五五"新蓝图的关键阶段，如何引导耐心资本深耕未来产业、赋能科技创新，成为市场各方共 同思考的方向。 12月16日，2025上证多层次资本市场高质量发展大会暨上证鹰·"金融资""诚信托""金阳光"颁奖仪式在江 苏省南通市举行。 大会聚焦资本与实体经济深度融合的关键路径，以期筑牢资本、科技、产业共生共荣的发展基础，为中 国经济高质量发展贡献资本力量。 资本赋能 驱动区域高质量发展 全国政协常委、上海公共外交协会会长周汉民预计，2026年，经济工作的一大重心在科技创新领 域，"最近几年，我每年调研长三角G60科创走廊，从长三角G60科创走廊的实践启示中，我认为南通未 来在科技创新领域可以聚焦以下重点：一是从产业链驱动转向创新链牵引；二是从工程应用创新走向源 头技术突破；三是从人才数量增长走向人才结构优化；四是从单点平台走向系统平台群建设。" 周汉民表示，通过这些结构性突破，南通不仅能够在长三角科创格局中占据战略位置，更将成为支撑国 家能源装备、未来材料、生物制造、第三代半导体等关键领域的重要力量。 创新引领 激活产业发展动能 当前，中国资本市场正逐步构建与 ...

相较于市场关注度较高的红利类指数，自由现金流指数提供了更侧重未来盈利能力的差异化视角。星阔 投资重点阐释了其多维优势：其一，自由现金流指标通过穿透企业盈利质量，旨在评估内生造血能力与 潜在分红的可持续性；其二，红利指数成分股多处于成熟阶段，增长平缓，而自由现金流筛选出的行业 龙头，具有较稳健的内生增长动能；其三，在行业分布上，自由现金流指数不仅涵盖部分传统高股息领 域，也广泛覆盖了食品饮料、电力设备等具有消费或成长属性的行业，实现了较为均衡的多元化配置。 历史回溯显示，该指数长期显著跑赢主流红利类指数，具有更突出的复利效应。 星阔投资表示，虽然自由现金流指数的大盘风格特征加大了量化增强的难度，但该机构通过深度融合人 工智能技术，构建了更具适应性的量化体系。公司投研团队运用大语言模型、文本情绪分析等技术，深 度挖掘量价、基本面及另类数据，持续迭代因子库与投资模型，以该指数提供的贝塔收益为基础，旨在 持续获取超额阿尔法收益。从实盘运作情况来看，相关策略产品已展现出显著的超额收益能力。 中证报中证网讯(记者王辉)2025年临近收官，A股市场在年末政策预期与风格再平衡的博弈中震荡前 行，资金对盈利确定性与资产质量的关 ...

AI 时代，聚宽的最新迭代与策略情况如何？我们就相关话题与聚宽展开了对话。 （ 点击查看完整直播回放 ） Q：我们关注到聚宽近期作为赞助商参与NeurIPS 2025，能分享下你们在这背后的考虑吗？ 量化的底层驱动力来自于顶尖人才。 聚宽近期入职的投研和技术同事，背景不少都是AI 方向。他们中有在前沿课题上取得过硬成果的研究者； 也不乏在ACM-ICPC等竞赛中取得好名次的"技术大拿"。 我们希望通过AI学术会议的赞助，直接触达全球顶尖的AI相关人才。 NeurIPS 是全球人工智能领域的顶级学术会议，一些十分前沿、或能决定 未来技术走向的AI突破可能会在这里发布， 本次聚宽作为赞助商参展收获颇多，未来我们也会考虑持续在此方面的参与。 Q：聚宽提出"探索 AI 自主驱动投研"，如何理解？ "探索 AI 自主驱动投研"是聚宽投研的聚焦方向， 我们希望从以下几个方面持续进行投入：一是持续吸引和团结全球顶尖AI人才，二是构建自 主可控的全生命周期投研等相关系统，三是进行持续、高强度的基础算力资源投入。 具体来讲，为了支持未来更深度的AI应用场景，聚宽构建了 全链路自主可控的技术新引擎 。以超40万核CPU和超200 ...

点评：头部量化私募竞相布局国产GPU及科创主题产品，显示其对高成长赛道超额收益的追逐。此举将 提振国产芯片及AI板块的流动性，强化市场对科技成长风格的关注。但量化资金同时加仓红利策略， 反映其风险偏好分化，或加剧市场风格轮动。整体来看，量化私募的多元化布局既为科创板块注入活 力，也通过红利策略平衡波动，体现了当前市场结构性机会与避险需求并存的复杂格局。 近日，陕西战新产业发展并购投资基金合伙企业（有限合伙）成立，出资额20亿元，经营范围包含：以 自有资金从事投资活动；创业投资（限投资未上市企业）；私募股权投资基金管理、创业投资基金管理 服务。股权穿透显示，该企业由西部证券(002673)全资子公司西部优势资本投资有限公司、陕西省人民 政府国有资产监督管理委员会旗下长安汇通集团有限责任公司、工银金融资产投资有限公司等共同出 资。 点评：西部证券联合陕西国资等设立20亿元产发并购基金，聚焦战新产业投资，彰显区域产业升级决 心。对西部证券而言，此举将拓展其投行业务链条，提升资产配置能力，或为估值带来新支撑。该基金 有望催化陕西本地高端制造、新材料等战新产业资源整合，相关企业将迎来资本赋能。整体来看，国资 与券商协同 ...

转自：新华财经 优化金融机构体系，推动各类金融机构专注主业、完善治理、错位发展。"十五五"规划建议为中小银行 发展定下基调：需在改革化险的同时，重塑行业核心竞争力。2025年，中小银行迎来改革浪潮。今年以 来，多家村镇银行被吸收合并为国有银行、股份制银行或城商行的分支机构。据企业预警通统计，仅今 年下半年以来，就有超200家中小银行因批复合并或批复解散等缘由而注销。 近期，从摩尔线程到沐曦股份，网下配售名单中高频出现幻方、九坤、衍复等头部量化机构的身影，两 家国产GPU龙头企业IPO引发了量化私募的抢筹热潮。不限于股票打新，一场围绕"双创"领域的布局已 悄然展开，多家量化私募正加紧推出科创、双创及AI等细分主题产品，试图在波动更大、交易更活跃 的市场中捕捉超额收益。值得注意的是，在不少头部量化私募积极布局科创产品线的同时，也有一些机 构在同步推进红利产品的布局。近期卓识私募密集布局了一系列"中证红利指数增强"产品，茂源量化、 世纪前沿也都布局了红利主题的相关产品。 证券时报 12月10日至11日召开的中央经济工作会议总结2025年经济工作，分析当前经济形势，部署2026年经济工 作。继12月8日中央政治局会议 ...