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收受23万元“定制吹票”,两名“85后”券商分析师因受贿罪获刑
Xin Lang Cai Jing· 2025-12-25 09:38
炒股就看金麒麟分析师研报,权威,专业,及时,全面,助您挖掘潜力主题机会! 判决书指出,邹某因本案于2025年1月13日被上海市公安局刑事拘留,同年2月14日被上海市公安局取保 候审,同年5月23日被上海市浦东新区人民检察院取保候审。程某因本案于2025年1月13日被上海市公安 局取保候审,同年5月23日被上海市浦东新区人民检察院取保候审。 案由方面,判决书表示,经审理查明,2023年4月,被告人邹某、程某接受宋某甲请托,利用被告人邹 某时任东方某有限公司(下称"东方某公司")研究所电子行业首席分析师的职权,为利通电子撰写研究 报告以增加该公司股票的市场关注度。 "其中,被告人邹某负责组织研究报告的撰写,实际收取宋某甲好处费18万元;被告人程某负责邹某与 宋某乙之间的沟通联络及转送现金给邹某,实际收取宋某甲好处费5万元。"判决书称。 判决书指出,2024年12月,被告人程某主动向大连市公安机关投案。2025年1月13日,被告人邹某、程 某分别在家中和公司被公安机关传唤到案,后如实供述犯罪事实。案发后,赃款已被公安机关如数冻 结。 上海市浦东新区人民法院认为,邹某、程某身为东方某有限公司研究所的工作人员,利用邹某 ...
收18万“吹票”,东财证券首席被判刑!
Xin Lang Cai Jing· 2025-12-25 08:50
来源:江苏金融圈 对于股民来说,研报本是了解上市公司基本面、判断投资价值的重要参考,尤其是券商首席分析师署名 的研报,往往因"专业背书"被赋予更高信任度。 但最近裁判文书网挂出来一起"砸钱买研报"的案件,将A股市场存续多年的"研报吹票"灰产再度拉回公 众视野。 从中国裁判文书网获悉,原东方某公司研究所的电子行业首席分析师邹某,因收受请托方宋某甲18万元 好处费,撰写关于上市公司利通电子(603629)的正面研报,最终以非国家工作人员受贿罪获刑。 那么这个宋某甲究竟为什么要为利通电子"吹票"呢?这件事与上市公司有没有关系? 金融小强向利通电子证券部进行求证,对方称此事与上市公司没有任何关系,宋某甲既未在公司工作 过,也与公司没有往来,公司也没有因此事受到过司法机关传唤。 如果宋某甲与利通电子没有任何关系,那么他为什么要给利通电子吹票呢?当然也有一种可能是他重仓 了利通电子,所以自掏腰包请研究员"吹票"以拉抬股价。 在研报发布后,利通电子股价飙升后又断崖式下跌,无数跟风买入的散户沦为"接盘侠",而这起案件的 刑事判决,也被业内视为监管层整治研报乱象的"标志性一战"。 判决书显示,被告人邹某出生于1988年,博士研 ...
沪上券商首席被判刑!撰写研报收取18万元好处费
Xin Lang Cai Jing· 2025-12-24 15:44
炒股就看金麒麟分析师研报,权威,专业,及时,全面,助您挖掘潜力主题机会! 转自:北京日报客户端 近日,中国裁判文书网披露一则刑事判决书。上海市浦东新区人民法院对一起券商分析师受贿案作出一 审判决,原东方某有限公司研究所电子行业首席分析师邹某、电新行业高级分析师程某,因犯非国家工 作人员受贿罪,分别被判处有期徒刑十个月、缓刑一年,有期徒刑八个月、缓刑一年,均并处罚金十万 元,二人违法所得亦被依法追缴。 判决书并未披露相关人员的姓名。不过查阅利通电子的相关研报可发现,2023年12月,东方财富证券原 电子行业首席分析师邹杰曾发布关于利通电子的深度研报《主业战略布局进展突出,AI算力租赁服务 打造第二成长曲线》。 | 证券:利通电子(603629.SH) | 行业;电子设备 | 发布日期: 2023-12-21 15:51 | 撰写日期: 2023-12-21 | | | --- | --- | --- | --- | --- | | 原始评级:增持 | 变动: 维持 | 目标价格: 29.19 | 报告类型: | 深度研究 | | 深度研究:主业战略布局进展突出,AI算力租赁服务打造第二成长曲线 | | | | ...
股民惊呆!一券商88年首席分析师“吹票”,收取18万“好处费”!判了
中国基金报· 2025-12-24 15:05
Core Viewpoint - The article discusses a recent criminal case involving two analysts from a brokerage firm who were convicted of accepting bribes to enhance the market visibility of a listed company, highlighting ongoing issues of unethical practices in the financial industry [2][4][8]. Group 1: Case Details - The two analysts, Zou and Cheng, received bribes of 180,000 yuan and 50,000 yuan respectively to write favorable research reports for Jiangsu Litong Electronics Co., Ltd. [4] - Zou was responsible for organizing the report writing and received the larger sum, while Cheng facilitated communication and delivered the cash [4]. - Both analysts confessed to their crimes, leading to their convictions for non-state personnel bribery [4][5]. Group 2: Court Sentencing - The court sentenced Zou to ten months in prison with a one-year probation and a fine of 100,000 yuan, while Cheng received an eight-month sentence with similar probation and fine [5]. - The court also mandated that both individuals comply with community supervision and engage in community service after their release [6]. Group 3: Industry Implications - The case underscores a persistent issue in the brokerage industry where analysts may collude with market manipulators to issue favorable reports, often leading to misleading market signals [8]. - Regulatory scrutiny has intensified in recent years, particularly concerning the public statements made by chief economists and analysts, aiming to curb such unethical practices [8].
超级未来科技:构建面向未来的AI+Web3.0基础设施,让全球开发者共享高性能计算资源
Jiang Nan Shi Bao· 2025-09-30 11:13
Core Insights - Artificial Intelligence (AI) is rapidly transitioning from laboratory experiments to commercial applications, reshaping productivity across various industries, but computational power is becoming a significant bottleneck for scaling AI applications [1] - Super Future Technology Co., Ltd. aims to address this challenge by creating a decentralized high-performance computing infrastructure network based on Web3.0, allowing global developers and users to access powerful AI computing resources at lower costs [1][5] Industry Overview - The current high costs of AI training and the concentration of computational resources among major tech companies like Microsoft, Google, and Amazon create barriers for AI innovators, leading to a situation where many face difficulties in accessing necessary computational power [1][2] - There is a significant disparity in GPU resource utilization, with many GPUs idling in various forms, such as gaming graphics cards and personal PCs, while innovation in AI is hindered due to limited access to these resources [2] Company Strategy - Super Future Technology's core strategy is to treat computational power as infrastructure, building a global platform that integrates AI computing with Web3.0 incentive mechanisms [2] - The platform standardizes computational resources into NFT cards, which encapsulate performance, capacity, and ownership details, allowing users to purchase and utilize these resources using cryptocurrencies like USDT and ETH [2][3] Operational Mechanism - Users can contribute their NFT cards to a computational resource pool, where a smart scheduling system matches tasks with available resources based on various factors, enhancing resource utilization and enabling revenue distribution to cardholders [3] - Unlike traditional cloud services that charge by the hour, Super Future Technology offers a more flexible model, allowing users to participate in tasks without long-term contracts, significantly lowering project initiation costs [3] Technological Infrastructure - The company has developed a distributed GPU resource scheduling system based on Kubernetes, compatible with major AI frameworks and existing cloud platforms, enabling cross-node and cross-region resource management [3][4] - All transactions and data related to assets, tasks, and rewards are recorded on the blockchain, ensuring transparency and verifiability of the system [4] Future Plans - The company has a clear development timeline, with plans to complete GPU node testing and launch NFT-based computational assets by 2025, followed by expanding into international markets by 2026 [4] - Super Future Technology envisions creating a global network of computational nodes, allowing anyone with a GPU to participate in the AI infrastructure, thus democratizing access to AI resources [5]
福鞍股份拟3.2亿元参投燃气轮机基地 布局多元业务跨界转型成效待考
Chang Jiang Shang Bao· 2025-09-10 06:57
Core Viewpoint - Fuaan Co., Ltd. is actively pursuing diversification by investing in new sectors such as gas turbine manufacturing, AI computing power leasing, and lithium battery materials, although the financial performance from these ventures has yet to show significant improvement [1][2][3] Group 1: Gas Turbine Manufacturing - Fuaan Co., Ltd. plans to establish a joint venture to create a gas turbine manufacturing base in Leshan, focusing on gas turbines below 50MW [1] - The company will invest approximately 320 million yuan, holding a 51.613% stake in the joint venture, while its partners will contribute 150 million yuan each for a 24.1935% stake [1] - The total registered capital for the joint venture is 620 million yuan, indicating strong confidence from all parties involved [1] Group 2: AI Computing Power Leasing - In May 2024, Fuaan Co., Ltd. announced plans to invest about 249 million yuan in an AI computing power leasing business through a joint venture with Shanghai Jitie Network Technology Co., Ltd. [2] - Fuaan Co., Ltd. will hold a 71% stake in the new venture, which will have a total investment of approximately 350 million yuan [2] Group 3: Lithium Battery Materials - Fuaan Co., Ltd. previously aimed to enter the lithium battery sector by planning a major asset restructuring to acquire 100% of Tianquan Fuaan Carbon Material Technology Co., Ltd. for 3.6 billion yuan [2] - This move reflects the company's strong interest and commitment to emerging industries [2] Group 4: Financial Performance - For the first half of 2025, Fuaan Co., Ltd. reported revenue of 579 million yuan, a year-on-year increase of 3.29%, but a net profit decline of 9.68% to 55.57 million yuan [2] - The performance indicates challenges in the company's transition to new business areas, with the impact of new ventures on overall performance still not fully realized [2][3]
重组+AI芯片+算力+7元,业绩暴增超1100%,有望冲击100元?
Sou Hu Cai Jing· 2025-05-26 06:27
Core Insights - The ongoing U.S. pressure on China's AI industry has led to a significant drop in NVIDIA's market share in China from 95% to 50%, while Huawei's Ascend chip shipments have surged to nearly 400,000 units, indicating a shift towards domestic alternatives in computing power [1] - Global competition for computing power is intensifying, with the U.S. "Gateway to the Stars" initiative proposing a $500 billion investment to build 5-10 supercomputing parks by 2029 [1] - The EU plans to mobilize €200 billion for AI, including a dedicated €20 billion fund for establishing European AI super factories [2] Industry Developments - China has initiated the "East Data West Computing" project, with the Ministry of Commerce emphasizing support for national-level economic development zones' computing infrastructure [2] - The current focus on computing power is shifting towards restructuring, with encouragement for acquisitions in key sectors such as semiconductors, technology, AI, and biomedicine [2] Company Opportunities - Zhejiang Data Culture is highlighted for its restructuring logic, leveraging the Zhejiang Big Data Trading Center to promote a "computing power + data" ecosystem, recently winning a supercomputing center project worth 6 billion yuan [4] - Runxin Technology is pursuing a restructuring strategy by signing an agreement to acquire 100% of Qiyimoer, a leader in high-end computing chip packaging technology [5] - A specific company is planning to establish a 100,000-card GPU computing cluster within two years, has signed a 10-year cooperation agreement with ByteDance for computing and data center services, and recently completed a share acquisition, positioning itself for significant growth [5]