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调研速递|博实(苏州)智能科技接受招商证券等3家机构调研,透露关键要点
Xin Lang Cai Jing· 2025-09-22 01:16
Group 1 - The core driving force for the company's development is innovation, with a focus on technological leadership as a key competitive advantage [1][2] - The company's products are characterized by high speed, high precision, and high reliability, targeting the high-end market [1] - The company has established a comprehensive operation and maintenance management service system covering the entire lifecycle of equipment, leading the industry in service scale and capability [1][2] Group 2 - Domestic policies related to smart manufacturing provide momentum for the company's growth, although global economic challenges and the need to boost domestic demand remain concerns [2] - The company follows a "point → line → surface" development model, starting with key single equipment to penetrate new industries and then expanding to automated production lines [2] - Key business drivers include internal strategies of technological differentiation, R&D investment, and external factors such as national smart manufacturing strategies and the endogenous demand of manufacturing enterprises [2] Group 3 - The company is actively promoting its intelligent factory solutions, with a successful showcase of its electric stone intelligent factory at a meeting in Wuhai in April 2025 [2]
博实股份:接受招商证券股份有限公司调研
Mei Ri Jing Ji Xin Wen· 2025-09-22 01:04
每经AI快讯,博实股份(SZ 002698,收盘价:16.9元)发布公告称,2025年9月19日13:30至14:40,博 实股份接受招商证券股份有限公司调研,公司证券事务代表张俊辉参与接待,并回答了投资者提出的问 题。 (记者 王瀚黎) 每经头条(nbdtoutiao)——始祖鸟深陷"炸山"风波,母公司大中华区新总裁上任才两个多月,被赞"专 业能力深厚"!安踏体育最新回应→ 2025年1至6月份,博实股份的营业收入构成为:智能制造装备占比69.88%,工业服务占比27.24%,环 保工艺与装备占比2.89%。 ...
关于招商资管智远天添利货币市场基金 恢复管理费适用费率的公告
Sou Hu Cai Jing· 2025-09-21 23:11
根据《招商资管智远天添利货币市场基金基金合同》中有关管理费率的规定"本基金的管理费按前一日 基金资产净值的0.90%年费率计提。如以0.90%的管理费计算的7日年化暂估收益率小于或等于2倍活期 存款利率,基金管理人将调整管理费为0.30%,以降低每万份基金暂估净收益为负并引发销售机构交收 透支的风险,直至该类风险消除,基金管理人方可恢复计提0.90%的管理费。基金管理人应在费率调整 后依照《信息披露办法》的有关规定在规定媒介上公告。" 本基金于2025年9月20日计算的7日年化暂估收益率高于2倍活期存款利率,每万份基金暂估净收益为负 并引发销售机构交收透支的风险已消除。根据合同约定,自当日起本基金的管理费年费率恢复至 0.90%。 投资者可通过下列渠道了解相关信息: 1)招商证券资产管理有限公司网站(https://amc.cmschina.com); 2025年9月22日 2)本基金代销机构(已在本管理人官方网站公示); 3)招商证券资产管理有限公司指定客户服务电话(95565)。 风险提示:购买货币市场基金并不等于将资金作为存款存放在银行或者存款类金融机构。本基金分红并 不改变本基金的风险收益特征,也不会 ...
券商年内科创债发行规模已超570亿元
Zheng Quan Ri Bao Zhi Sheng· 2025-09-21 15:39
Core Insights - The issuance of bonds by securities firms has been active this year, with a total issuance scale reaching 1.23 trillion yuan as of September 21 [1] - Technology innovation bonds (referred to as "Sci-Tech Bonds") have played a crucial role in supporting the development of technology innovation enterprises due to their precise funding allocation and flexible financing models [1] - The issuance of Sci-Tech Bonds by securities firms has exceeded 57 billion yuan this year, driven by both policy guidance and market demand [1] Group 1: Issuance and Market Dynamics - As of September 21, 40 securities firms have issued Sci-Tech Bonds totaling 57.17 billion yuan since May 7, with both leading and mid-sized firms participating [1][2] - Leading securities firms dominate the issuance scale, with China Merchants Securities at the forefront, having issued 10 billion yuan, followed by CITIC Securities and Guotai Junan with 9.7 billion yuan and 5.9 billion yuan respectively [2] - The bonds exhibit flexible terms and lower interest rates, with rates ranging from 1.64% to 2.29%, significantly lower than ordinary corporate bonds [2] Group 2: Underwriting and Strategic Focus - In the first half of the year, 68 securities firms acted as lead underwriters for Sci-Tech Bonds, underwriting a total of 380 bonds, which represents a year-on-year increase of 82.69% [3] - The total underwriting amount reached 381.39 billion yuan, marking a 56.48% increase year-on-year [3] - Securities firms are focusing on providing comprehensive financial services throughout the lifecycle of technology enterprises, with firms like CITIC Securities and Zhongyin Securities emphasizing the integration of technology innovation and industrial innovation [3] Group 3: Future Outlook - The market for Sci-Tech Bonds is expected to see increased supply in the second half of the year, presenting further opportunities for investors [4]
【一图看懂】券商债券融资升温!今年境内发债规模已超万亿元
Sou Hu Cai Jing· 2025-09-21 14:21
Core Insights - The bond financing activities of securities firms in China have significantly increased this year, with a total issuance exceeding 1 trillion yuan [4][2]. - As of September 19, 2023, 71 securities firms have issued 657 bonds, marking a year-on-year growth of 64.25% [4]. - The total bond issuance scale for the year has reached 1.18 trillion yuan, representing a year-on-year increase of 69.93% [4]. Group 1: Bond Issuance Data - The top 10 securities firms by bond issuance scale as of 2025 include China Galaxy (107.9 billion yuan), Huatai Securities (93.7 billion yuan), and Guotai Junan (75.8 billion yuan) [5]. - Other notable firms in the top 10 include GF Securities (68.52 billion yuan) and China Merchants Securities (62.7 billion yuan) [5][6]. Group 2: Bond Holding Data - As of September 19, 2023, the total bond holding scale of 76 securities firms is 2.96 trillion yuan [7]. - The top 10 firms by bond holding scale include Guotai Junan (252.6 billion yuan), China Galaxy (188.6 billion yuan), and Huatai Securities (188 billion yuan) [7][8]. Group 3: Recent Approvals for Bond Issuance - In September, several securities firms, including Guotai Junan and CITIC Securities, received approval to issue bonds to professional investors [9]. - CITIC Securities has been approved to issue bonds with a face value of up to 60 billion yuan [13].
A股趋势与风格定量观察:利多因素边际走弱,继续看多但程度下降
CMS· 2025-09-21 09:24
Quantitative Models and Construction Methods 1. Model Name: Short-term Timing Model - **Model Construction Idea**: The model evaluates the market's short-term timing signals by analyzing macro fundamentals, valuation, sentiment, and liquidity indicators. It aims to provide a comprehensive view of market conditions and guide short-term investment decisions[12][17]. - **Model Construction Process**: 1. **Macro Fundamentals**: - Manufacturing PMI: A PMI value below 50 indicates weak manufacturing activity, providing a cautious signal. - Credit Pulse: The YoY growth rate of medium- and long-term RMB loans is at the 61.02% percentile over the past five years, indicating strong credit growth and providing an optimistic signal. - M1 Growth Rate: The filtered YoY growth rate of M1 is 5.23%, at the 96.61% percentile over the past five years, indicating strong M1 growth and providing an optimistic signal[12][17]. 2. **Valuation**: - PE Median: The current PE median of the A-share market is 45.50, at the 98.84% percentile over the past five years, signaling caution. - PB Median: The current PB median is 3.02, at the 96.94% percentile over the past five years, also signaling caution[12][17]. 3. **Sentiment**: - Beta Dispersion: The current beta dispersion is 8.66%, at the 96.61% percentile over the past five years, signaling caution. - Volume Sentiment Score: The score is 0.40, at the 74.52% percentile, indicating strong volume sentiment and providing an optimistic signal. - Volatility: The annualized volatility is 20.19%, at the 77.67% percentile, providing a neutral signal[13]. 4. **Liquidity**: - Money Market Rate: The rate is 0.00, at the 38.98% percentile, indicating relatively loose liquidity and providing an optimistic signal. - Exchange Rate Expectation: The indicator is -0.42%, at the 33.90% percentile, indicating a strong RMB against the USD and providing an optimistic signal. - Average 5-day Financing Amount: The value is 126.77 billion RMB, at the 97.85% percentile, signaling caution due to high leverage[13]. - **Model Evaluation**: The model effectively integrates multiple dimensions to provide a comprehensive short-term market outlook. It has demonstrated strong performance in historical backtests, with significant excess returns and reduced drawdowns compared to benchmarks[14]. 2. Model Name: Growth-Value Style Rotation Model - **Model Construction Idea**: This model identifies optimal allocation between growth and value styles based on macroeconomic cycles, valuation spreads, and sentiment indicators. It aims to capture excess returns through style rotation[24][25]. - **Model Construction Process**: 1. **Macro Fundamentals**: - Profit Cycle Slope: A steep profit cycle slope favors growth. The current slope is high, providing a 100% growth signal. - Interest Rate Cycle: A high interest rate cycle level favors value. The current level is high, providing a 100% value signal. - Credit Cycle: A strengthening credit cycle favors growth. The current cycle is strong, providing a 100% growth signal[24][26]. 2. **Valuation**: - PE Spread: The 5-year percentile of the growth-value PE spread is 45.11%, indicating mean reversion upward, favoring growth. - PB Spread: The 5-year percentile of the growth-value PB spread is 55.48%, also indicating mean reversion upward, favoring growth[24][26]. 3. **Sentiment**: - Turnover Spread: The 5-year percentile of the turnover spread is 38.13%, favoring value. - Volatility Spread: The 5-year percentile of the volatility spread is 94.76%, favoring a balanced allocation[24][26]. - **Model Evaluation**: The model has consistently outperformed its benchmark since 2012, with significant annualized excess returns and reduced drawdowns. It effectively captures style rotation opportunities[25][27]. 3. Model Name: Small-Cap vs. Large-Cap Style Rotation Model - **Model Construction Idea**: This model evaluates 11 effective rotation indicators to determine optimal allocation between small-cap and large-cap styles. It aims to exploit market inefficiencies and generate excess returns through size-based style rotation[29][30]. - **Model Construction Process**: 1. **Indicators Favoring Small-Cap**: - Increased financing purchase amounts. - Narrowing credit spreads. - Declining implied market volatility. - Rising PB divergence. - Recovery in small-cap trading volume[29][30]. 2. **Indicators Favoring Large-Cap**: - Declining small-cap theme sentiment. - High beta dispersion. - Rising R007 rates[29][30]. - **Model Evaluation**: The model has delivered positive excess returns every year since 2014, demonstrating its robustness and effectiveness in capturing size-based rotation opportunities[30]. --- Model Backtesting Results 1. Short-term Timing Model - Annualized Return: 17.99% - Annualized Volatility: 15.87% - Maximum Drawdown: 22.44% - Sharpe Ratio: 0.9959 - Excess Return (2025 YTD): 14.15%[14][19][22] 2. Growth-Value Style Rotation Model - Annualized Return: 13.22% - Annualized Volatility: 20.80% - Maximum Drawdown: 43.07% - Sharpe Ratio: 0.6056 - Excess Return (2025 YTD): 8.50%[25][27][28] 3. Small-Cap vs. Large-Cap Style Rotation Model - Annualized Return: 19.10% - Annualized Excess Return: 11.96% - Maximum Drawdown: 39.71% - Average Small-Cap Allocation (2025 YTD): 51.41% - Excess Return (2025 YTD): 4.44%[30][32]
十大机构看后市:牛市中高位震荡后A 股多继续上涨,坚持科技,高低切的时机尚未到来
Sou Hu Cai Jing· 2025-09-21 09:12
Group 1 - The overall market performance shows mixed results with the Shanghai Composite Index down by 1.3%, while the Shenzhen Component and ChiNext Index increased by 1.14% and 2.34% respectively [1] - Citic Securities emphasizes the importance of the globalization of leading Chinese manufacturing companies, suggesting that this will enhance pricing power and profit margins, leading to market capitalization growth beyond domestic economic fundamentals [1] - The financing trends around the National Day holiday indicate a pattern of "pre-holiday contraction and post-holiday explosion," with historical data suggesting a high probability of A/H shares rising after preventive rate cuts by the Federal Reserve [1][2] Group 2 - Huajin Securities notes that historically, after high-level fluctuations in a bull market, A-shares tend to continue rising, with current policies and external events remaining positive [2] - Dongwu Securities identifies potential market directions for the fourth quarter, suggesting a structural shift may occur, with cyclical sectors and low-position technology branches being key areas to watch [3] - China Galaxy Securities recommends focusing on sectors benefiting from policy and industry support, such as AI, lithium batteries, and consumer services, especially with the upcoming holidays boosting travel-related stocks [4] Group 3 - Western Securities reports a contraction in A-share valuations, with the coal industry leading gains due to rising coal prices driven by winter supply concerns [5] - The market is expected to experience a period of consolidation, with support levels identified at previous lows, and recommendations to maintain current positions until adjustments are complete [7] - Kaisheng Securities highlights the ongoing dominance of technology sectors, driven by relative profitability and global semiconductor cycles, with AI emerging as a significant demand driver [8] Group 4 - Debon Securities indicates that the current market is at the beginning of a new dollar interest rate cut cycle, with a slow bull market expected to continue, particularly in sectors like AI and solid-state batteries [9] - Xiangcai Securities suggests that the A-share market is likely to operate in a "slow bull" manner, influenced by ongoing policies and the "14th Five-Year Plan," with a focus on technology, green initiatives, and consumer services [10]
招商证券大类资产配置系列指数投资价值分析:穿越波动周期的投资罗盘
CMS· 2025-09-21 05:03
- The report introduces two quantitative strategy indices developed by China Merchants Securities: the Global Assets Risk Parity Rotation Index (GARRI) and the China Assets Risk Parity Rotation Index 2.0 (CARRI2) [3][10] - GARRI and CARRI2 indices use momentum trend tracking methods to rotate allocations among equities, bonds, and commodities globally or within China, employing risk parity, volatility control, and daily monitoring for stop-loss and take-profit to manage overall portfolio volatility [3][10] - GARRI includes 13 sub-portfolios such as stock indices, government bond futures, gold futures, and commodity futures, while CARRI2 includes 10 sub-portfolios with similar asset classes but focused on the Chinese market [11] - The indices adjust the allocation weights of each sub-portfolio monthly based on momentum factors and risk parity models [11] - The construction process involves selecting sub-portfolios based on momentum signals and adjusting initial weights according to risk parity theory, with dynamic adjustments for daily performance [12][13] - GARRI's long-term annualized return is 7.76%, with an annualized volatility of 4.05% and a maximum drawdown of 5.46% [3] - CARRI2's long-term annualized return is 7.42%, with an annualized volatility of 4.62% and a maximum drawdown of 5.66% [3] - GARRI's performance is attributed mainly to bond assets, contributing an average of 39% (63% including cash), with equities, gold, and commodities contributing 14.3%, 5.5%, and 17.0% respectively [3] - CARRI2's performance is also primarily driven by bonds, contributing 60% (72% including cash), with equities, gold, and commodities contributing 9.1%, 5.7%, and 12.8% respectively [3] - GARRI and CARRI2 indices can be used as underlying indices for various financial products such as OTC options, total return swaps, and structured notes, suitable for different types of investors [3][98] - Compared to other global asset classes, GARRI and CARRI2 indices offer higher return-to-drawdown ratios, making them cost-effective options for achieving higher absolute returns with reasonable portfolio volatility [3][110][112]
招商证券:三行业整治内卷进展突出 中美元首会谈聚焦TikTok
智通财经网· 2025-09-21 00:51
Domestic Policy Insights - The Chinese government is making progress in addressing "involution" in the automotive, pig farming, and photovoltaic sectors, with a focus on pig farming and silicon materials [2] - The automotive industry is seeing the release of a payment standard initiative aimed at ensuring supplier payments do not exceed 60 days [2] - In pig farming, a meeting has been held to discuss reducing the number of breeding sows, with accompanying financial measures suggested [2] - The photovoltaic sector is tightening energy consumption standards, which may accelerate the exit of outdated production capacity, particularly in silicon material pricing [2] Autonomous Driving Developments - The Ministry of Industry and Information Technology has released a draft for mandatory national standards on intelligent connected vehicle driving assistance systems, aiming to fill safety gaps in large-scale applications [3] - The new standards emphasize safety boundaries and monitoring of driver status, suggesting a focus on three types of companies: leading autonomous driving suppliers, companies enhancing driving safety, and automotive testing institutions [3] Service Consumption Policies - The Ministry of Commerce and other departments have announced measures to boost service consumption, with 19 initiatives aimed at stimulating demand and supporting high-quality economic development [4] - Key areas of focus for future investment include cultural tourism, intellectual property consumption, and sports consumption [4] International Relations and Business Implications - Recent talks between Chinese and U.S. leaders have been described as pragmatic and constructive, with discussions on the TikTok transaction being a central issue [5] - The TikTok deal involves core algorithms and shareholding ratios, with Oracle and other companies potentially becoming buyers [5] Industry Policy Updates - The State Council is actively discussing policies related to ecological protection and domestic product standards in government procurement [6] - Recent industry policies include a growth plan for light industry and various regional initiatives to integrate artificial intelligence into industrial processes [7]
量化基金周度跟踪(20250915-20250919):A股震荡调整,量化基金表现分化-20250920
CMS· 2025-09-20 14:20
证券研究报告 | 基金研究(公募) 2025 年 9 月 20 日 A 股震荡调整,量化基金表现分化 量化基金周度跟踪(20250915-20250919) 本周(9 月 15 日-9 月 19 日)A 股震荡调整,量化基金表现分化。 本报告重点聚焦量化基金市场表现,总结近一周主要指数和量化基金业绩表现、 不同类型公募量化基金整体表现和业绩分布,以及本周收益表现较优的量化基 金,供投资者参考。 ❑市场整体表现: 本周量化基金表现分化,绝对收益方面,除 300 指增,其他指增基金绝对 收益均录得正值;主动量化和市场中性均录得负收益,主动量化平均跌 0.19%,市场中性平均跌 0.17%。超额收益方面,各类指增基金均跑输指 数,沪深 300 指增、中证 500 指增、中证 1000 指增、其他指增分别获得 -0.05%、-0.24%、-0.09%、-0.14%的超额。 ❑风险提示:图表中列示的数据结果仅为对市场及个基历史表现的客观描述,并 不预示其未来表现,亦不构成投资收益的保证或投资建议。 徐燕红 S1090524120003 xuyanhong@cmschina.com.cn 邓畅 S109052507000 ...