Core Viewpoint - The report from Zhongtai Securities indicates that the domestic and overseas AI data center (AIDC) industry will continue to evolve, driving stock performance, while the overseas power equipment market faces supply-demand tensions, creating opportunities for domestic supply chains to expand internationally [1] Group 1: AIDC Industry Trends - The demand for AIDC is expected to grow significantly due to sustained high capital expenditure from overseas cloud providers [1] - The increase in total power capacity and load variability in data centers necessitates technological upgrades for both in-cabinet and out-of-cab power supplies, indicating a trend in the industry [1] - The transition from UPS to HVDC and SST in out-of-cab power supplies is confirmed, marking the initial phase of change in the SST industry chain [1] Group 2: Investment Opportunities - The PSU segment is identified as the only certain performer within the AIDC power supply sector, with potential for stock price appreciation if demand exceeds expectations [1] - The upgrade in AIDC power supplies presents investment opportunities in traditional power equipment such as transformers and circuit breakers [1] Group 3: Domestic and International Market Dynamics - The construction of AIDC is expected to significantly increase electricity demand, with contributions primarily from the China-US region, thereby boosting global electricity demand [1] - Domestic power equipment is anticipated to continue its expansion into international markets, driven by the AIDC construction [1] - Attention is drawn to the recovery of capital expenditure in domestic power grids, including high-voltage projects and the resumption of bidding for power meters and distribution networks [1]

Core Viewpoint - The article emphasizes the importance of the "City Partner" concept in providing integrated financial solutions for urban and industrial development, highlighting the need for local financial institutions to understand regional characteristics and support high-quality development [2][6]. Group 1: City Partner Concept - The "City Partner" concept aims to provide comprehensive financial solutions throughout the lifecycle of industries, addressing the mismatch between local industry needs and external financial services [6][7]. - The approach focuses on local resource endowments, industrial foundations, and research conditions to tailor development paths for cities [4][6]. Group 2: Financial Services and Industry Development - The company has established a comprehensive support system for enterprises at different growth stages, including venture capital for startups, IPO services for growing companies, and M&A support for mature firms [8][9]. - The financial services model aims to overcome the challenges of "remote water cannot save near fire," ensuring that local industries receive appropriate financial support [6][7]. Group 3: M&A Market Trends - The M&A market is currently experiencing a golden period driven by policy incentives and industrial demand, with a shift from mere scale expansion to strategic integration around industrial logic [11][12]. - Four new trends in the M&A market include a clear policy-driven trend for industry consolidation, a focus on cultivating new quality productivity, the active role of state-owned enterprises, and the diversification of transaction structures [12][13]. Group 4: Future Directions - The company plans to continue providing full-cycle services in the M&A space, emphasizing professionalism, responsibility, and innovation to build a new ecosystem for mergers and acquisitions [14].

Core Viewpoint - The report from Zhongtai Securities indicates that the domestic and overseas AI-driven data center (AIDC) industry will continue to evolve, positively impacting stock performance, while the demand for power equipment in overseas markets, particularly the U.S., remains tight, providing opportunities for domestic supply chains to expand internationally [1] Group 1: AIDC Industry Trends - The AIDC industry is expected to see sustained growth in capital expenditure from overseas cloud providers, leading to increased demand for AIDC [1] - The total power capacity of data centers is rising, necessitating technological upgrades for both internal and external power supplies, which will drive industry trends [1] Group 2: Power Supply Equipment - External power supply (SST) is in the initial phase of industrial transformation, shifting from UPS to HVDC and SST, which will drive the SST industry chain from 0 to 1 [1] - Internal power supply (PSU) is identified as the only segment within the AIDC power supply sector with guaranteed performance release, with potential for stock price appreciation if demand exceeds expectations [1] Group 3: Domestic Power Grid Developments - There is a steady increase in capital expenditure for domestic power grids, with a focus on ultra-high voltage projects, a recovery in meter bidding, and the resumption of distribution network tenders [1]

Core Insights - The forum emphasized the need for Chinese companies to focus on long-term growth and social value rather than short-term financial performance, aligning with the theme of "reconstructing value coordinates for a new quality future" [1] - The A-share market has surpassed 5,400 listed companies with a total market capitalization exceeding one trillion yuan, playing a stabilizing role in employment and market expectations [2] - The importance of corporate governance, innovation, and social responsibility was highlighted as essential components of corporate value [2] Group 1 - The forum gathered over 500 guests from various sectors to discuss the fundamental value of companies and the direction of new quality development [1] - The current capital market reforms are fostering a multi-tiered system that supports specialized and innovative enterprises, contributing to high-quality economic development [2] - The city of Yibin aims to create a financial ecosystem that aligns with the development of new quality productivity, leveraging its reputation as a hub for various industries [3] Group 2 - Wuliangye, as a leading state-owned enterprise, is committed to enhancing its value through quality and cultural integration, technological advancement, and responsible governance [3] - The shift from "single-point breakthroughs" to "cluster development" in regional industry necessitates comprehensive financial services that are deeply integrated with local industries [4] - Discussions during the roundtable highlighted that new quality productivity involves not only technology but also efficiency, quality, and a comprehensive transformation in management and concepts [4]

Core Viewpoint - The merger and acquisition (M&A) market is currently in a golden period driven by policy benefits and industrial demand, marking a shift in its role from mere scale expansion to a core tool for enterprise upgrading [1] Group 1 - The event "19th China Listed Companies Value Forum and 2025 New Quality Productivity Tour" was held in Yibin, Sichuan Province [1] - Jiang Tianfang, Director of the Investment Banking Committee at Zhongtai Securities, highlighted the changing positioning of M&A activities [1] - The current phase coincides with the completion of the "14th Five-Year Plan" and the planning of the "15th Five-Year Plan," indicating a strategic transition in the industry [1]

Core Viewpoint - Poly Property (06049) is expected to maintain revenue growth in the first half of 2025, with stable growth in its core property management business, while the decline in value-added services is related to the overall downturn in the real estate industry and adjustments in the business structure [1] Revenue Performance - In the first half of 2025, the company achieved revenue of 8.39 billion, a year-on-year increase of 6.6% [2] - Revenue from property management services increased by 13.1% compared to the same period in 2024 [2] - The average property price rose to 2.47 yuan per square meter, an increase of 0.14 yuan per square meter from 2024 [2] - Non-owner value-added service revenue decreased by 16.1%, while community value-added service revenue fell by approximately 3.7% [2] - Operating costs were 6.77 billion, a year-on-year increase of 8.0%, with a gross margin of 19.4%, down 1.1 percentage points [2] - Net profit attributable to equity shareholders was 0.89 billion, a year-on-year increase of 5.3% [2] Expansion and Third-Party Projects - The company’s residential project pricing standards improved, leading to an increase in property management service gross margin to 16.6%, down 0.2 percentage points year-on-year [3] - As of the end of the first half of 2025, the area managed from the controlling shareholder Poly Development (600048) was 360 million square meters, a year-on-year increase of 3.1% [3] - The company has been actively expanding third-party projects, with a total managed area of 640 million square meters, accounting for 63.8%, a year-on-year increase of 5.9% [3] - The annual contract value of newly expanded third-party projects was approximately 1.41 billion, a year-on-year increase of 17.2%, with 84.6% of this value located in core 50 cities, up 5.1 percentage points year-on-year [3] Operational Efficiency - As of the end of the first half of 2025, cash and cash equivalents were 9.65 billion, a decrease of 2.5% from the end of 2024 [4] - The expense ratio was 5.4%, down 0.9 percentage points year-on-year [4] - The company aims to enhance growth momentum, solidify quality foundations, improve organizational efficiency, and strengthen technological empowerment to achieve simultaneous growth in scale and efficiency [4]

Core Insights - Poly Property (06049) is expected to maintain revenue growth in the first half of 2025, with stable growth in its core property management business, while value-added service revenue is declining due to the overall downward trend in the real estate industry and adjustments in business structure [1] Group 1: Financial Performance - In the first half of 2025, the company achieved revenue of 8.39 billion, a year-on-year increase of 6.6%, and net profit attributable to equity shareholders of 0.89 billion, up 5.3% year-on-year [1] - The revenue from property management services increased by 13.1% compared to the same period in 2024, with the average property price rising to 2.47 yuan per square meter, an increase of 0.14 yuan per square meter from 2024 [1] - Operating costs were 6.77 billion, a year-on-year increase of 8.0%, with a gross margin of 19.4%, down 1.1 percentage points year-on-year [1] Group 2: Expansion and Third-Party Projects - The company’s managed area from the controlling shareholder Poly Development reached 360 million square meters, a year-on-year increase of 3.1% [2] - The company has been actively expanding third-party projects, with a total managed area of 640 million square meters, accounting for 63.8% of the total, a year-on-year growth of 5.9% [2] - The annual contract amount for newly expanded third-party projects is approximately 1.41 billion, a year-on-year increase of 17.2%, with 84.6% of this amount located in core 50 cities, an increase of 5.1 percentage points year-on-year [2] Group 3: Operational Efficiency - As of the end of the first half of 2025, the company had cash and cash equivalents of 9.65 billion, a decrease of 2.5% from the end of 2024 [3] - The expense ratio was 5.4%, down 0.9 percentage points year-on-year [3] - The company aims to enhance growth momentum, solidify quality foundations, improve organizational efficiency, and strengthen technological empowerment to achieve simultaneous growth in scale and efficiency [3]

中 泰 证 券 研 究 所 专 业 ｜ 领 先 ｜ 深 度 ｜ 诚 信 高维时空嵌入的视角—物理增强型 样本熵择时模型 ｜ 证 券 研 究 报 告 ｜ 吴先兴 中泰证券金融工程 证券分析师执业证书编号：S0740525110003 邮 箱：wuxx02@zts.com.cn 李倩云 证券分析师执业证书编号：S0740520050001 邮 箱：liqy02@zts.com.cn 张天伦 证券分析师执业证书编号：S0740525070005 邮 箱：zhangtl01@zts.com.cn 2025.12.05 • 本研究聚焦于ETF市场的量化择时策略构建,核心在于将非线性动力学的样本熵理论 与物理学的推重比概念深度融合,实现对市场复杂性与驱动力在风险平衡层面的一体 化刻画。 • 成功构建了一套物理增强型样本熵(Phys-Enhanced SampEn)择时策略,创新性地将 "推重比序列" 作为输入项进行熵计算,能够同时量化"价格波动的随机性"与 "驱动力-风险平衡的规律性" ，突破了传统单维度不确定性度量的局限。 • 引入流动性调整推重比,通过量价共振动量与流动性阻力因子修正,有效解决了理论 信号与实际可交易 ...

Core Insights - The report highlights the "Net Profit Discontinuity Strategy" which has achieved an absolute return of 63.03% this year, significantly outperforming the benchmark index by 39.07% [3][11] - The "Davis Double-Click Strategy" has shown a historical annualized return of 26.45% from 2010 to 2017, with consistent excess returns exceeding 11% each year during that period [3][7] - The "Enhanced CSI 300 Portfolio" has provided a relative excess return of 17.41% this year, indicating strong performance compared to the CSI 300 index [13][17] Group 1: Davis Double-Click Strategy - The Davis Double-Click Strategy involves buying stocks with low price-to-earnings (PE) ratios that have growth potential, aiming to sell once growth is realized and PE increases, thus achieving a "double-click" effect on earnings per share (EPS) and PE [3][6] - Historical backtesting from 2010 to 2017 shows the strategy's annualized excess return of 21.08% against the benchmark [7] - The strategy has generated a cumulative absolute return of 48.89% this year, outperforming the CSI 500 index by 24.92% [8] Group 2: Net Profit Discontinuity Strategy - The Net Profit Discontinuity Strategy focuses on stocks that show significant upward price gaps on the first trading day following earnings announcements, indicating market approval of earnings surprises [10][11] - This strategy has achieved an annualized return of 29.22% since 2010, with a cumulative absolute return of 63.03% this year, outperforming the benchmark by 39.07% [11][12] - The strategy's performance is based on selecting stocks that have exceeded earnings expectations over the past two months [10] Group 3: Enhanced CSI 300 Portfolio - The Enhanced CSI 300 Portfolio is constructed based on investor preferences, including GARP (Growth at a Reasonable Price), growth, and value investing styles [13][17] - The portfolio aims to identify undervalued stocks with strong profitability and growth potential, utilizing factors like PBROE and PEG [13] - This year, the portfolio has achieved a relative excess return of 17.41% compared to the CSI 300 index, demonstrating its effectiveness [17]

- Model Name: Industry Trend Allocation Model; Model Construction Idea: The model aims to identify industry trends and allocate investments accordingly; Model Construction Process: The model uses historical data and technical indicators to identify industry trends. It focuses on industries such as liquor and non-bank financials for mid-term reversal signals, and recommends technology sectors, commercial aerospace, and consumer electronics based on the TWO BETA model. The model also shows that the battery and industrial metals sectors continue to trend upwards[2][5][7]; Model Evaluation: The model is effective in identifying industry trends and making allocation recommendations based on historical data and technical indicators[2][5][7] - Model Name: TWO BETA Model; Model Construction Idea: The model aims to recommend sectors based on their beta values; Model Construction Process: The model uses beta values to identify sectors with high growth potential. It continues to recommend the technology sector, with a focus on commercial aerospace and consumer electronics[2][5][7]; Model Evaluation: The model is effective in identifying high-growth sectors based on beta values[2][5][7] - Model Name: Timing System; Model Construction Idea: The model aims to distinguish the overall market environment using long-term and short-term moving averages; Model Construction Process: The model calculates the distance between the 120-day and 20-day moving averages of the WIND All A index. The latest data shows the 20-day moving average at 6247 and the 120-day moving average at 5930, with a difference of 5.33%. The model also considers the 5-day moving average and the trend line to determine the market's oscillating pattern[2][5][7]; Model Evaluation: The model is effective in identifying market trends and oscillations based on moving averages[2][5][7] - Model Name: Position Management Model; Model Construction Idea: The model aims to manage stock positions based on valuation indicators and short-term trends; Model Construction Process: The model uses the PE and PB ratios of the WIND All A index to determine the stock position. The PE ratio is at the 80th percentile, indicating a moderate level, while the PB ratio is at the 50th percentile, indicating a lower level. Based on these indicators and short-term trends, the model suggests a 70% stock position for absolute return products[8]; Model Evaluation: The model is effective in managing stock positions based on valuation indicators and short-term trends[8] Model Backtesting Results - Industry Trend Allocation Model, Weekly Excess Return: 1.40%[1] - TWO BETA Model, Weekly Excess Return: 1.40%[1] - Timing System, Weekly Excess Return: 1.40%[1] - Position Management Model, Weekly Excess Return: 1.40%[1]