身处变局，结构求新 2025 年 06 月 26 日 金融工程 2025 中期策略展望 ➢ 黄金量化：对抗风险，继续持有。从驱动因素来看，当下财政因素继续占主 导。特朗普施政主张对通货膨胀与财政赤字有进一步扩张可能，但实施进度有待 观察。当下全球地缘政治风险与经济政策不确定性仍高，对促发黄金上涨有一定 作用。技术面测算当下已经历盘整积累支持目标价到 3885 美元/盎司。 ➢ 行业量化：轮动加速，机会分散。胜率赔率一致性继续减弱，短期轮动速度 或提高。从生命周期来看，长期配置成长期行业有更高的预期收益。生命周期模 型显示一级行业整体成长性不足，成长性整体分散在三级行业，其中基础化工细 分领域扩张特征明显。 ➢ 利率量化：寻觅资产，关注融资。国债利率跌破 2%，稳定在 1.6%-1.7%低 位，景气度的回升和信贷脉冲的回升抑制了利率的进一步下行。当下通胀资产持 有意愿再度疲软，叠加房地产 ROE 转负、高 ROE 行业杠杆率偏低，导致利率缺 乏上行动能。利率或延续底部震荡，突破需依赖高 ROE 高杠杆行业对资金需求 的拉动。 ➢ 风格量化：成长萌芽，关注预期。当下Δg 和Δgf 都有扩张，成长性的稀缺 度抬升， ...

Core Viewpoint - Wenhui Street is evolving into a hub for modern commerce, new manufacturing, health, and digital economy, supported by a strong ecosystem for businesses and talent retention [1][3]. Group 1: Business Development - Zhejiang Zhongbo Meijia Technology Co., Ltd. has been rooted in Wenhui Street for over 20 years, witnessing its growth and development [1]. - The company has expanded from a small renovation studio with 3 employees to over 2,000 employees, indicating significant growth and adaptation to market demands [2]. - Zhongbo's new retail project has officially landed in Wenhui, emphasizing the importance of renovation as an entry point to integrate various lifestyle-related industries [2]. Group 2: Economic Indicators - Wenhui Street has seen a strong economic performance, ranking first in retail sales among limited enterprises in the district for the first quarter of this year [3]. - The street's growth in social retail total and industrial added value is ranked second in the district, showcasing its rapid economic development [3]. - The ongoing construction of multiple projects, such as Hangzhou Kerry Center, indicates a robust development momentum in the Dapei business circle [3]. Group 3: Strategic Focus - Wenhui Street is committed to enhancing its "full lifecycle" service for private enterprises, aiming to deepen their roots and improve their development in the area [3]. - The street has implemented a "big ecology" approach to support businesses in site selection, talent recruitment, and infrastructure needs [1].

Group 1 - The core viewpoint of the news is the release of the "Beijing Action Plan for AI Empowerment of New Industrialization (2025)", which aims to promote the deep integration of AI with industry, enhance the intelligent upgrade of manufacturing, and improve overall productivity [1] - The action plan emphasizes the construction of high-quality industry data sets, supporting manufacturing enterprises and research institutions in data collection, aggregation, cleaning, labeling, and rewarding initiatives for data registration and open access [1] - It advocates for the development of high-performance general intelligent agents by integrating industrial mechanisms, data, and knowledge with large models, aiming to overcome the limitations of traditional industrial software [1] Group 2 - The plan includes enhancing simulation verification capabilities by supporting the development of proprietary industrial simulation software to improve the intelligence level of simulation tools and establish a universal simulation platform [1] - It focuses on strengthening intelligent security guarantees by supporting enterprises in building model security testing grounds and developing multi-dimensional risk assessment systems for large models [2] - The initiative aims to create benchmark smart factories by encouraging the application of embodied intelligent large models and technologies like 5G, enhancing the density of intelligent equipment and data-driven decision-making capabilities [2] - It also addresses the layout of key production capacities for intelligent products such as AI PCs, AI smartphones, AI glasses, and intelligent robots, supporting enterprises in establishing pilot platforms and flexible production lines [2]

【导读】南京熊猫电子股份一度狂飙超 56%， 引领脑机接口概念股逆市大涨 中国基金报记者 郭玟君 6 月 17 日，香港三大股指齐跌。恒生指数收盘跌 0.34% ，恒生科技指数跌 0.15% ，恒生 中国企业指数跌 0.4% 。全日大市成交额为 2021 亿港元，较前一交易日有所回落。南向资 金净买入额为 63.02 亿港元。 周大福跌 7.29% ，石药集团跌 6.40% ，中国生物制药跌 5.30% ，领跌蓝筹。 | 序号 | 名称 | 代码 | 现价 | | 涨跌幅 ^ | 成交额 | 年初至今 | | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | 周大福 | 1929 | 12.720 c | -1.000 | -7.29% | 10.95亿 | 89.00% | | 2 | 石药集团 | 1093 | 8.190 c | -0.560 | -6.40% | 28.11亿 | 73.56% | | 3 | 中国生物制药 | 1177 | 5.000 c | -0.280 | -5.30% | 11.45亿 | 57.39% | | 4 | ...

Group 1 - Shanghai Wuwenxinqiong Intelligent Technology Co., Ltd. aims to become a leading computing power operator in the era of large models, having been established in May 2023 by a team from Tsinghua University [1] - Shanghai Pudong Development Bank (SPDB) has become the main cooperative bank for Wuwenxinqiong, providing credit support and tailored financial products to meet the company's R&D investment needs [1] - SPDB is collaborating with Wuwenxinqiong to explore advanced topics in AI technology applications in finance, focusing on intelligent risk control and wealth management AI assistants [1] Group 2 - Shanghai LingShu Intelligent Technology Co., Ltd. provides production operation management products and services for the manufacturing industry, utilizing cloud-native, big data, and low-code technologies [2] - SPDB has become the first financing partner for LingShu Intelligent, offering timely and precise financing support to alleviate the company's funding pressures and assist in its growth [2] - The bank has implemented loan discount policies to reduce interest for LingShu Intelligent, demonstrating its commitment to supporting the company's financial needs [2] Group 3 - SPDB has established the first AI-themed branch in Xuhui District, providing a platform for interaction and collaboration among AI enterprises [3] - The branch has hosted multiple "technology-finance" salons, attracting participation from various tech companies and fostering community engagement [3] - SPDB collaborates with local government think tanks and innovation platforms to enhance the service offerings for AI enterprises [3] Group 4 - SPDB has developed a "6G service" system in the technology finance sector, aiming to transition from a service provider to a growth co-builder for tech companies [4] - The bank employs a "tropical rainforest" service model, offering a comprehensive credit loan product system that supports tech enterprises throughout their lifecycle [4] - By leveraging intelligent technologies and platforms, SPDB aims to stimulate industrial clustering effects and contribute to Shanghai's goal of becoming a global technology innovation hub [4]

本期导读： 5月，上市公司参与出资基金的平均规模相较4月有大幅度提升，但总出资规模及出资次数有所下 降。 投资集中在信息技术、医疗健康、工业等领域。 作者丨FOFWEEKLY 本期推荐阅读5分钟 上市公司出资详情如下： 8月 7月 8月 10月 - 11月 2月 3月 4月 5月 9月 12月 1月 2024年 2025年 出资规模(亿元) -- 出资次数 5月份,上交所、深交所共有29家上市公司(含子公司)对私募股权基金进行了出资 共投向26支基金,出资笔数共计29笔,已披露金额的出资额合计42.56亿元,平均单笔 出资额1.47亿元。 近一年出资基金的平均规模 25.00 20.00 15.00 14.9 10.00 103 5.00 2.98 0.00 2月 3月 4月 5月 ୧用 7月 8月 9月 10月 11月 12月 1月 2025年 2024年 5月参与出资基金的平均规模相较前三个月有大幅度提升。 投资领域分布广泛,但偏好仍明显。集中于信息技术、医疗健康、半导体设备、工业制 造等方向。 国资与非国资出资情况 પે ટે 80.00 40 70.00 35 60.00 30 50.00 25 40 ...

Core Insights - The Ministry of Industry and Information Technology emphasizes the importance of integrating "Artificial Intelligence + Manufacturing" to accelerate smart upgrades in key industries [1][2] - The manufacturing sector is facing structural challenges and transformation pressures due to the AI wave, necessitating a shift from traditional processes to data-driven and intelligent systems [3][4] Group 1: Integration of AI in Manufacturing - The integration of AI is redefining the manufacturing landscape, moving from a hierarchical structure to a platform-based, decentralized system [6][7] - AI is becoming the core intelligence of manufacturing networks, facilitating real-time interaction and smart closed-loop operations [7][12] Group 2: Iterative Pathways of AI Implementation - The five iterative pathways for AI integration in manufacturing include: 1. Perception iteration: Enhancing data collection and understanding through AI [8] 2. Control iteration: Transitioning from rule-based to intelligent control systems [9] 3. Execution iteration: Evolving from automation to intelligent collaborative systems [10] 4. Operation iteration: Shifting from reactive management to predictive optimization [11] 5. Decision iteration: Advancing from delayed analysis to real-time intelligent decision-making [12] Group 3: Organizational Capabilities for AI - The need for a strategic approach to AI, viewing it as a core resource for business transformation rather than a one-time IT project [16][17] - The demand for a hybrid talent pool combining AI engineers and manufacturing experts to facilitate effective AI implementation [18][19] - The importance of establishing a unified AI and data platform to overcome fragmentation and enhance scalability [20] Group 4: Challenges in Data and Model Utilization - Manufacturing companies face significant challenges in data utilization, with only 44% of collected data being effectively used [27] - The complexity of industrial AI models requires a deep understanding of manufacturing processes, which cannot be achieved through generic models [31][34] - Companies must build a sustainable AI capability system, focusing on data governance, scenario modeling, and model fine-tuning [35] Group 5: Future Outlook - 95% of manufacturing enterprises plan to invest in AI over the next five years, indicating a shift towards a system-wide transformation [36] - The core capability of future manufacturing will be the ability to create self-optimizing, intelligent collaborative systems [36]

Core Viewpoint - Morgan Stanley's report indicates that despite policy tightening pressures in the first half of 2025, the U.S. stock market is expected to enter a more optimistic scenario in the second half of 2025 and into 2026 [1] Economic Outlook - The firm does not foresee a recession but anticipates seven interest rate cuts in 2026, which will support above-average valuations [1] - The S&P 500 index target price is set at 6,500 points for the next 12 months, corresponding to an earnings per share (EPS) of $302 and a forward price-to-earnings (P/E) ratio of 21.5 times [1] - Projected EPS for 2025 is $259 (7% growth), for 2026 is $283 (9% growth), and for 2027 is $321 (13% growth) [1] Industry Allocation - **Overweight Sectors**: Financials, Energy, and Utilities are rated as overweight. The financial sector is expected to see a recovery in M&A and capital market transactions by 2028, with potential for accelerated stock buybacks due to regulatory easing [3] - The energy sector is linked to oil price movements, with geopolitical tensions potentially disrupting supply and raising prices. The sector's free cash flow (FCF) margins are significantly above historical averages [3] - Utilities historically perform well in late-cycle phases due to their defensive characteristics and are expected to benefit from rising interest rates and energy capacity concerns [3] Neutral Sectors - Technology, Healthcare, Communication Services, Materials, Real Estate, and Industrials are maintained at neutral. The technology sector shows significant internal differentiation, with AI-related stocks performing well, while hardware faces challenges from weak consumer demand [4] Underweight Sectors - Consumer Discretionary and Consumer Staples are rated for reduction due to poor pricing power and tariff risks. The consumer products sector faces significant cost pressures, with tariffs impacting EBITDA margins by 10% to 70% [4]

据统计，去年辽宁与香港进出口总额突破160亿元，同比增长25.9%，两地已形成"你中有我、我中有 你"的紧密合作格局。截至2025年4月，香港累计在辽宁省设立外资企业超1.3万家，实际到位外资占全 省总量的46.3%，稳居第一大外资来源地；辽宁在港投资企业300余家，备案中方投资额超75亿美元。 （文章来源：新华财经） 香港特别行政区政府投资推广署助理署长刘智元认为，科技创新推动产业创新，是辽宁和香港在新时期 的共同发展目标，双方应实现优势互补，共赢发展。"目前在香港上市的公司中，来自辽宁的20家上市 企业表现突出，涵盖工业制造、能源、金融、医疗、食品、教育等行业。我鼓励更多辽宁企业善用香港 金融服务的优势，积极利用香港上市融资，进一步拓展海外新市场、新商机。"刘智元说。 新华财经沈阳6月5日电 5日，由香港特别行政区政府投资推广署、香港特别行政区政府驻北京办事处及 辽宁省商务厅联合主办的"把握投资新机遇，开拓海外新商机"辽宁—香港投资推广交流会活动在沈阳举 行。 活动上，与会代表们互相交流了企业赴港发展经验。参会者纷纷表示，通过本次推广交流会，更加了解 了香港金融服务优势和跨国供应链管理优势，期待早日赴港考 ...

Group 1 - The global green economy is thriving, with private enterprises emerging as core players in the green transformation due to their market insight, operational flexibility, and innovation capabilities [1][3] - The third Shanghai International Carbon Neutrality Expo has established a "Green New Forces" section to showcase the achievements of private enterprises in green technology and low-carbon products, facilitating resource integration and market expansion [3][4] - The expo has evolved to focus on specialized and innovative small and medium-sized enterprises, highlighting their role in driving green transformation through new production capabilities [4][5] Group 2 - Various sectors are represented at the expo, including green packaging, marine engineering equipment, and energy efficiency, with companies presenting sustainable solutions and intelligent factory achievements [5][6] - The expo illustrates the clear picture of industrial green transformation driven by the creativity of private enterprises, which are aligning with national carbon neutrality strategies [6]