Group 1 - The report highlights the recovery of valuations in the Hong Kong stock market, driven by increased liquidity and growth potential, breaking the previous undervaluation trend. The average daily trading volume has reached HKD 124.1 billion, with significant net inflows from southbound funds [1][10][12] - The report indicates that the top ten Chinese tech giants listed in Hong Kong account for approximately 34% of the market capitalization, contributing to the growth potential of the Hong Kong market [1][14] - The report identifies key sectors of interest for investment in Hong Kong, including technology, pharmaceuticals, consumer goods, and banking, with a focus on new economy companies [1][15] Group 2 - The report analyzes the performance of the Changcheng Hong Kong Stock Connect Value Select Multi-Strategy Fund (007132), which has outperformed the Hang Seng Index with an annualized excess return of 5.54% since June 2019 [2][20] - The fund's investment strategy is concentrated in high-growth sectors such as TMT (Technology, Media, and Telecommunications), pharmaceuticals, and advanced manufacturing, with the top five sectors accounting for about 90% of the fund's holdings [2][27] - The fund manager, Qu Shaojie, has extensive experience in managing Hong Kong investments, focusing on long-term holdings of fundamentally strong companies and emphasizing the alignment of valuation with profit growth [3][42] Group 3 - The report emphasizes the fund's buy-and-hold strategy, with a low turnover rate of approximately 180% over the past three years, indicating a stable investment style [2][38] - The fund's top holdings include companies with strong performance and growth potential, such as Pop Mart, which has shown significant returns due to its unique business model and consumer demand [2][30] - The report notes that the fund's holdings are currently valued below the overall market level, suggesting potential for significant appreciation as market valuations improve [2][34][36]

Investment Rating - The report maintains a "Recommended" rating for the company [6] Core Views - The company plans to invest 250 million yuan to acquire a 10% stake in Yizhi Electronics, which has a pre-investment valuation of 2.25 billion yuan [1] - Yizhi Electronics focuses on high-end computing chips, specializing in the research, design, and sales of processors for servers and workstations, and has developed two series of products [1][2] - The company has a strong customer base and has established solid partnerships with several well-known GPU developers, enhancing its capabilities in AI, cloud computing, and edge computing [2] - The subsidiary, Haixi Technology, aims to integrate AI infrastructure and services, supporting Yizhi Electronics in reaching downstream customers more effectively [3] Financial Projections - The company is expected to achieve revenues of 3 billion yuan in 2025, 3.33 billion yuan in 2026, and 3.61 billion yuan in 2027, with corresponding net profits of 208 million yuan, 284 million yuan, and 328 million yuan [4][5] - The projected P/E ratios for 2025, 2026, and 2027 are 41x, 30x, and 26x respectively, indicating a positive outlook for the company's earnings growth [4][5]

Group 1: Core Views - The real estate market is showing signs of stabilization, with policies aimed at maintaining a steady market expected to continue throughout the year [2][9] - The central government has set a tone for real estate policies to stabilize the market through urban renewal and the release of rigid and improvement demands [11][12] - The demand side is seeing policy adjustments to stimulate housing demand, including optimizing housing fund loan policies and increasing purchase subsidies [15][16] Group 2: Property Sector Insights - The property service sector is stabilizing, with a slowdown in management scale growth and stable property fee changes [3][6] - The financial performance of property services shows a prominent increase in revenue without a corresponding increase in profit, indicating a trend towards reliance on the parent company [3][6] Group 3: REITs and Investment Opportunities - The REITs sector is expanding rapidly, with a stable performance in consumer and affordable housing categories [4][6] - The issuance of special bonds for land acquisition is accelerating, with significant planned investments in idle land across various provinces [18][19] - The city village renovation policies are being implemented successfully, with several cities exploring or launching housing voucher policies for urban renewal [21][22] Group 4: Supply Side Developments - The standards for "good housing" are becoming clearer, with over 30 provinces and cities introducing new construction standards aimed at improving housing quality [23][24] - The Ministry of Housing and Urban-Rural Development has released guidelines focusing on the construction of high-quality residential projects [23][24] Group 5: Sales Trends - New home sales are expected to see a narrowing year-on-year decline, while the enthusiasm for second-hand homes is likely to persist [27][28] - The sales performance of top developers shows a concentration of sales among leading companies, with a slight year-on-year decrease in core city sales [32][34] - The market is experiencing significant polarization, with varying de-stocking effects across major cities [37][41] Group 6: Land Market Dynamics - The concentration of land sales in core cities is increasing, indicating a sustained interest from developers in acquiring land [45][46] - The land transaction volumes and prices in major cities like Beijing, Shanghai, and Guangzhou reflect a competitive land market [49][52]

Investment Rating - The report maintains a "Recommended" rating for key companies in the smart glasses industry, including GoerTek, Lante Optics, Sunny Optical Technology, Espressif Technology, and others [5][6]. Core Insights - Smart glasses are identified as one of the most promising carriers for AI large models, with the potential for significant transformation in human-computer interaction due to advancements in AI capabilities [1][11]. - The market consensus on AI glasses has evolved, particularly with the launch of RayBan Meta, which combines hardware, AI functionality, and user-friendly features, achieving sales of over 1.4 million units in 2024 [2][20]. - The integration of optical display modules is crucial for the evolution of smart glasses towards augmented reality (AR) applications, with a focus on lightweight and high-performance optical components [3][23]. Summary by Sections Smart Glasses: AI First, Exploring AR - The report discusses the transition of AI from research to application, highlighting the increasing importance of multi-modal interactions, including text, images, and voice [11][13]. - Smart glasses are positioned as a suitable platform for AI applications due to their proximity to key sensory organs, enabling seamless interaction with AI [16][19]. Optical Waveguide and Micro LED as Core Bottlenecks - The report identifies the challenges in optical module manufacturing, emphasizing the need for lightweight and high-performance solutions to facilitate mass production of AR glasses [3][34]. - The combination of diffraction waveguides and Micro LED technology is seen as a potential solution for enhancing the display and user experience of AR glasses [3][39]. Investment Recommendations - The report suggests focusing on various segments within the smart glasses industry, including brands, solution providers, and optical component manufacturers, highlighting companies like Xiaomi, GoerTek, and Lante Optics as key players [4][5]. - The report emphasizes the importance of SoC processors for AI glasses and optical components for AR glasses, indicating a clear distinction in hardware requirements between the two types [26][28].

Quantitative Factors and Models Summary Quantitative Factors and Construction Methods 1. **Factor Name**: DL_EM_Dynamic - **Construction Idea**: Extract intrinsic stock attributes from public fund holdings using matrix decomposition, and combine these attributes with LSTM-generated factor representations to create a dynamic market state factor[19][21]. - **Construction Process**: - Matrix decomposition is applied to fund-stock investment networks to derive intrinsic attributes of funds and stocks. - Static intrinsic attributes are updated semi-annually using fund reports and transformed into dynamic attributes by calculating their similarity to the market's current style preferences. - These dynamic attributes are combined with LSTM outputs and fed into an MLP model to enhance factor performance[19][21]. - **Evaluation**: The factor effectively captures dynamic market preferences and improves model performance[19][21]. 2. **Factor Name**: Meta_RiskControl - **Construction Idea**: Integrate factor exposure control into deep learning models to mitigate risks during rapid style shifts, leveraging meta-incremental learning for market adaptability[25][28]. - **Construction Process**: - Multiply model outputs by corresponding stock factor exposures and include this in the loss function. - Add penalties for style deviation and momentum to the IC-based loss function. - Use an ALSTM model with style inputs as the base model and apply a meta-incremental learning framework for periodic updates[25][28]. - **Evaluation**: The factor reduces style deviation and volatility, effectively controlling model drawdowns[25][28]. 3. **Factor Name**: Meta_Master - **Construction Idea**: Incorporate market state information into the model, leveraging deep risk models and online meta-incremental learning to adapt to dynamic market conditions[35][37]. - **Construction Process**: - Use deep risk models to calculate new market states and construct 120 new features representing market preferences. - Replace the loss function with weighted MSE to improve long-side prediction accuracy. - Apply online meta-incremental learning for periodic model updates, enabling quick adaptation to recent market trends[35][37]. - **Evaluation**: The factor demonstrates significant improvements in long-side prediction accuracy and market adaptability[35][37]. 4. **Factor Name**: Deep Learning Convertible Bond Factor - **Construction Idea**: Address the declining excess returns of traditional convertible bond strategies by using GRU neural networks to model the complex nonlinear pricing logic of convertible bonds[50][52]. - **Construction Process**: - Introduce convertible bond-specific time-series factors into the GRU model. - Combine cross-sectional attributes of convertible bonds with GRU outputs to predict future returns[50][52]. - **Evaluation**: The factor significantly enhances model performance compared to traditional strategies[50][52]. Factor Backtesting Results 1. **DL_EM_Dynamic Factor** - **RankIC**: 12.1% (May 2025)[9][12] - **Excess Return**: 0.6% (May 2025), 10.4% YTD[9][23] - **Annualized Return**: 29.7% (since 2019)[23] - **Annualized Excess Return**: 23.4% (since 2019)[23] - **IR**: 2.03[23] - **Max Drawdown**: -10.1%[23] 2. **Meta_RiskControl Factor** - **RankIC**: 12.8% (May 2025)[9][14] - **Excess Return**: -0.7% (HS300), 0.8% (CSI500), 0.5% (CSI1000) in May 2025; 3.0%, 4.8%, and 8.3% YTD respectively[9][30][34] - **Annualized Return**: 20.1% (HS300), 26.1% (CSI500), 34.1% (CSI1000) since 2019[30][32][34] - **Annualized Excess Return**: 15.0% (HS300), 19.2% (CSI500), 27.0% (CSI1000) since 2019[30][32][34] - **IR**: 1.58 (HS300), 1.97 (CSI500), 2.36 (CSI1000)[30][32][34] - **Max Drawdown**: -5.8% (HS300), -9.3% (CSI500), -10.2% (CSI1000)[30][32][34] 3. **Meta_Master Factor** - **RankIC**: 14.7% (May 2025)[9][17] - **Excess Return**: -0.5% (HS300), 0.5% (CSI500), 0.4% (CSI1000) in May 2025; 4.2%, 3.3%, and 5.0% YTD respectively[38][44][47] - **Annualized Return**: 22.0% (HS300), 23.8% (CSI500), 30.7% (CSI1000) since 2019[38][44][47] - **Annualized Excess Return**: 17.5% (HS300), 18.2% (CSI500), 25.2% (CSI1000) since 2019[38][44][47] - **IR**: 2.09 (HS300), 1.9 (CSI500), 2.33 (CSI1000)[38][44][47] - **Max Drawdown**: -7.2% (HS300), -5.8% (CSI500), -8.8% (CSI1000)[38][44][47] 4. **Deep Learning Convertible Bond Factor** - **Absolute Return**: 1.7% (偏股型), 2.6% (平衡型), 1.7% (偏债型) in May 2025[52][55] - **Excess Return**: 0.1% (偏股型), 1.0% (平衡型), 0.2% (偏债型) in May 2025[52][55] - **Annualized Return**: 13.2% (偏股型), 11.8% (平衡型), 12.7% (偏债型) since 2021[52][55] - **Annualized Excess Return**: 5.8% (偏股型), 4.0% (平衡型), 4.4% (偏债型) since 2021[52][55]

Group 1: U.S. Debt Overview - The U.S. currently faces a massive debt of $36 trillion, with significant interest obligations, presenting a challenge for the Treasury Secretary[3] - The recent tax and spending bill is projected to increase the deficit by an additional $2.4 trillion, excluding interest costs[3] - The demand for U.S. debt is under pressure, raising concerns about who will absorb this debt[4] Group 2: Demand Sources for U.S. Debt - Traditional demand for U.S. debt is categorized into four groups: the Federal Reserve, U.S. commercial banks, foreign investors, and U.S. residents[4] - The Federal Reserve's ability to increase holdings is limited without a significant shift in monetary policy[4] - Foreign investors are hesitant due to trade and geopolitical concerns, impacting their demand for U.S. debt[4] Group 3: Regulatory Changes and SLR - The U.S. is likely to modify the Supplementary Leverage Ratio (SLR) rules this summer to alleviate liquidity pressures in the debt market[5] - Proposed changes may include adjusting the SLR calculation or lowering the required ratios for large banks[6] - Exempting U.S. debt from SLR calculations could improve liquidity but carries risks, especially given the significant unrealized losses in bank bond holdings[7] Group 4: Impact of SLR Modifications - A study indicates that for every $1 billion increase in U.S. debt held, the SLR decreases by approximately 4.87 basis points[9] - If SLR exemptions are implemented, it could potentially raise the SLR by an average of 3.94 percentage points for major banks[9] - The overall impact of SLR modifications on increasing U.S. debt holdings by banks is expected to be limited, potentially absorbing only about 10% of future deficits[10]

Investment Rating - The report maintains a "Recommended" rating for the quantum computing industry, particularly focusing on the photonic quantum technology route [5]. Core Insights - Photonic quantum technology is one of the important routes in quantum computing, offering unique competitive advantages such as room temperature operation, long coherence times, and compatibility with existing fiber optic communication infrastructure [1][12]. - The research intensity in photonic quantum technology is high, with a gradually forming industrial ecosystem. As of September 2023, superconducting routes lead in patent applications at 51%, while photonic quantum routes account for 21% [2][16]. - Significant advancements have been made in both domestic and international research, with notable developments from companies like Xanadu and PsiQuantum, including the launch of scalable quantum computers [3][20][28]. Summary by Sections 1. Photonic Quantum as an Important Technology Route - Quantum computing, alongside quantum communication and quantum precision measurement, forms the three major fields of quantum information technology. It utilizes quantum phenomena to achieve information processing [9]. - The photonic quantum route is characterized by its ability to operate at room temperature and maintain long coherence times, making it suitable for distributed quantum computing networks [12][14]. 2. High Research Intensity and Industrial Ecosystem Formation - The photonic quantum computing industry includes four key segments: underlying support systems, photonic quantum computing prototypes, software, and application services. Major players include Xanadu and PsiQuantum [2][17]. - The development models of photonic quantum companies can be categorized into two types: full-stack development and hardware processor design [2][17]. 3. Accelerated Development of Photonic Quantum Technology - Companies like Xanadu and PsiQuantum have made significant progress in photonic quantum technology, with Xanadu planning to establish a quantum data center by 2029, deploying thousands of servers with 1 million qubits [3][20]. - In October 2023, China successfully built a 255-photon quantum computing prototype, "Jiuzhang 3," achieving a speed improvement of one million times over its predecessor [33]. 4. Investment Recommendations - The report suggests focusing on innovations in quantum computing and highlights key companies such as Guoshun Quantum and Hexin Instruments as core investment targets. It also recommends attention to quantum encryption communication companies [4][43].

贝森特"化债"的招靠谱吗？（一） [Table_Author] 分析师：陶川 分析师：邵翔 分析师：林彦 执业证号：S0100524060005 执业证号：S0100524080007 执业证号：S0100525030001 邮箱：taochuan@mszq.com 邮箱：shaoxiang@mszq.com 邮箱：linyan@mszq.com ➢ 债务是暂时的，但信用是永恒的，美债现在就像在"悬崖边上"。如何处理 36 万亿的巨额美债以及其带来的高额利息，无疑是美财长这份工作向贝森特下 的最大的战书。他也确实提出了许多或新或旧的方案来纾解财政压力。 ➢ 为什么 SLR 会影响美债市场？其中最核心的一点是在计算总杠杆暴露时， 商业银行的所有资产被"一视同仁"，并不会按风险进行调整，这与资本充足率等 风险加权的指标截然不同，在后者的计算中美债的信用风险权重往往是 0。除了 在资产端配置美债外，银行（或其子公司）也是美债主要的做市商，交易持仓的 美债同样受到杠杆率的约束，而这会直接影响到美债市场的流动性。 ➢ 此前在 2020 年疫情期间，美国监管部门就曾阶段性地允许美债和银行在美 联储的存款不纳入 SLR 计 ...

Investment Rating - The report maintains a positive investment rating for the securities industry, suggesting a focus on quality brokers with strong performance across multiple business lines, particularly highlighting Citic Securities, Huatai Securities, and China Galaxy Securities as key targets [6]. Core Insights - The A-share brokerage sector has experienced a turbulent performance in 2025, with the sector index down 9.2% year-to-date, underperforming the CSI 300 index by approximately 7.6 percentage points [1][10]. - The report indicates a recovery in earnings, with a significant increase in net profit for listed brokers, which rose to CNY 519 billion in Q1 2025, marking a year-on-year increase of 78.7% [2][28]. - The brokerage sector's revenue composition shows that proprietary trading and brokerage income accounted for over half of total revenues, with proprietary trading maintaining a high proportion since 2011 [2][36]. Summary by Sections 1. Overall Sector Performance - The brokerage sector has shown a fluctuating performance characterized by three distinct phases in 2025, with a notable recovery in valuations driven by policy support since mid-April [1][10][13]. 2. Earnings Summary - In Q1 2025, the total revenue for 43 listed brokers was CNY 1,261 billion, reflecting a year-on-year growth of 19.0%. The net profit for the same period was CNY 519 billion, up 78.7% year-on-year, indicating a strong recovery trend [2][28]. 3. Proprietary Trading - The proprietary trading income for listed brokers reached CNY 485 billion in Q1 2025, showing a year-on-year increase of 50.3%. This segment continues to support overall earnings despite a slight decline from previous highs [3][36]. 4. Brokerage Business - The brokerage business has remained active, with average daily trading volumes in the Shanghai and Shenzhen markets at CNY 2.07 trillion and CNY 1.75 trillion for Q4 2024 and Q1 2025, respectively. Brokerage income increased to CNY 330 billion in Q1 2025, up 43.1% year-on-year [4][36]. 5. Asset Management - The asset management business saw a decline in AUM, with an average management fee rate of 0.17%, down from the previous year. However, the report anticipates stabilization in AUM as the transition of existing asset management products progresses [4][36]. 6. Credit Business - The credit business reported a lending balance of CNY 16.2 trillion by the end of Q1 2025, reflecting a year-on-year increase of 33.3%, indicating a robust growth trajectory in this segment [3][36]. 7. Investment Banking - Investment banking revenues showed a mixed performance, with IPO underwriting down 31.7% year-on-year, while follow-on offerings increased by 83.1%. The report suggests that the bond underwriting market may stabilize following recent monetary policy adjustments [4][36]. 8. Investment Recommendations - The report recommends focusing on quality brokers with strong recovery potential across various business lines, particularly those that have demonstrated leadership in their respective segments [5][6].

Investment Rating - The report maintains a "Buy" rating for the company [3][5]. Core Views - The company is driven by dual engines of civil explosives and lithium salt, with strong growth potential in both sectors. The civil explosives business provides stable income, while the lithium salt business is expected to recover as lithium prices have bottomed out [2][3]. Summary by Sections 1. Dual Business Model - The company has established a dual business model combining civil explosives and lithium salt, which supports long-term growth. It has undergone significant expansion through acquisitions since its establishment in 1952 [10][11]. 2. Lithium Salt Business - The lithium salt business has seen a significant increase in resource availability, positioning it as a key growth driver. The current lithium price of 54,000 CNY/ton is near the cash cost support level, indicating a potential bottoming out of prices [2][32]. - The company has multiple channels for resource expansion, with a self-sufficiency rate expected to exceed 25% by 2025. It has secured priority supply rights for the Li family mine and aims to increase processing capacity significantly [2][39]. - The company has established long-term supply agreements with major clients such as Tesla and CATL, ensuring stable demand for its products [2][3]. 3. Civil Explosives Business - The civil explosives segment has shown stable growth, benefiting from domestic infrastructure projects and international acquisitions. The company has expanded its footprint in the civil explosives market through strategic acquisitions [3][11]. - The company is well-positioned to benefit from ongoing infrastructure projects in China, particularly in regions like Sichuan and Xinjiang [3][11]. 4. Financial Forecast and Investment Recommendations - The company is expected to see significant profit growth from 2025 to 2027, with projected net profits of 580 million, 970 million, and 1.25 billion CNY, respectively. The corresponding price-to-earnings ratios are forecasted to be 22, 13, and 10 times [3][4]. - The report suggests that the upcoming production ramp-up from the company's own lithium mines in Africa will enhance profitability, with both volume and price expected to rise in the lithium segment [3][4].