1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - After the Fed restarts rate cuts, the probability of the domestic central bank "following suit" to cut rates increases, with a higher probability of implementation after the end of October. After three consecutive months of adjustment, the current bond market has shown initial signs of stabilization. In the fourth quarter, bond market interest rates may start a new round of smooth decline. Investors are advised to defend and counterattack, and enter the market at around 1.8% of the 10-year Treasury bond [1][4]. 3. Summary by Relevant Catalogs 3.1 Bond Market Weekly Observation - From September 15 - 19, 2025, the expectation of the central bank's monetary easing strengthened, and the 10-year Treasury bond interest rate showed an "N" shape. The impact of the equity market on the bond market has gradually weakened, and investors' expectation of the central bank's loose monetary policy has strengthened [11]. 3.2 External Constraints Weaken: "Room for Maneuver" Opens - On September 18, the Fed cut the federal benchmark interest rate by 25 basis points to the 4.0% - 4.25% range, the first rate cut since late 2024. Since mid-July 2025, the narrowing of the Sino-US interest rate spread and the weakening of the US dollar have reduced the risk of capital outflows, improved the domestic liquidity environment, and opened up room for the central bank to cut rates. However, it is necessary to prevent the side effect of "rapid RMB appreciation → decline in export competitiveness" [12][16]. 3.3 Internal Constraints Remain: Low Bank Interest Margin + Rising Real Interest Rate - Currently, rate cuts still face the dual constraints of "low bank net interest margin + rising real interest rate". As of June 2025, the net interest margin of commercial banks has dropped to a historical low. A significant rate cut may lead to higher real interest rates, which will inhibit consumption and investment to some extent [20]. 3.4 Rate Cuts Are Approaching: Higher Probability After the End of October - After the Fed's rate cut, the probability of the domestic central bank cutting rates increases, but the pace, magnitude, and method will be "domestically oriented", with a higher probability of implementation after the end of October. If the GDP and credit data in the third quarter continue to weaken and the Fed cuts rates again in October, it may be a better time for the central bank to cut rates comprehensively [27][28]. 3.5 Bond Market Asset Performance No specific content analysis provided in the text, only some data chart descriptions. 3.6 High-Frequency Entity Tracking: Food Prices Differentiate, Energy Costs Rise - **Price-related**: This week, the Nanhua Agricultural Products Index declined slightly, international crude oil prices rose, vegetable and meat prices mostly declined, and fruit prices rose [45]. - **Industry-related**: This week, the Nanhua Industrial Products Index rose, glass and coking coal prices increased, and the blast furnace operating rate and petroleum asphalt operating rate showed differentiation [51]. - **Investment and Real Estate-related**: This week, investment and real estate-related data remained weak, with a decline in the land transaction area in 100 large and medium-sized cities and a slight increase in the commercial housing transaction area in 30 large and medium-sized cities. The decline of the second-hand housing listing price index slowed down, and the cumulative increase in the housing completion area increased but was still lower than the same period in previous years [59]. - **Travel and Consumption-related**: This week, travel and consumption data recovered seasonally, with an increase in the subway passenger volume in first-tier cities, a decline in movie box office revenue, a 3.5% increase in passenger car retail sales compared with the same period last month, and a slight increase in the number of domestic flights [67].

Core Insights - The report highlights the performance pressure in the liquor industry, particularly in the first half of 2025, with a focus on the upcoming festive season as a potential opportunity for investment [1][2][3] Performance Summary - In the first half of 2025, the liquor industry experienced a revenue decline of 0.8% year-on-year, totaling 241.42 billion yuan, with the second quarter seeing a more significant drop of 4.9% to 88.06 billion yuan due to policy impacts [9][10] - High-end liquor maintained growth with a revenue increase of 6.2% in the first half and 3.4% in the second quarter, while mid-tier and regional brands faced substantial declines, with some experiencing drops as severe as 31.1% [10][12] - The overall net profit for the liquor industry decreased by 1.18% in the first half and 7.5% in the second quarter, indicating a challenging environment for profitability [20][28] Short-term Strategy - The report suggests focusing on the upcoming festive season, with expectations of improved sales performance despite ongoing pressures [2][3] - It emphasizes the need for liquor companies to balance market share and structural upgrades while managing pricing and sales dynamics [2][3] Long-term Outlook - The liquor index shows a strong correlation with the Producer Price Index (PPI), with a potential turning point noted in August 2025, which could signal a recovery phase for the industry [2][3] - The report indicates that the liquor sector possesses high return on equity (ROE) and dividend characteristics, with valuations currently positioned in the mid-to-lower range of the industry [2][3] Investment Recommendations - The report recommends focusing on brands that are expected to perform well during the festive season, including high-end brands like Guizhou Moutai and Shanxi Fenjiu, as well as mid-tier brands like Zhenjiu Lidong and Luzhou Laojiao [3][4] - It suggests that the current market conditions may present a buying opportunity as the industry approaches a potential bottom in performance expectations [3][4]

Core Views - The market experienced a pullback this week, with increased volatility, primarily due to the weakness in the large financial sector and divergence in broad indices. The Shanghai Composite Index has not achieved the expected upward movement and is now in a "central oscillation" phase, with previous low points at 3732 and 3702 providing effective support [1][2][3] - It is anticipated that the Shanghai Composite will continue to consolidate for 1-2 weeks, with the potential to challenge the maximum amplitude since 2015 (5178-2440) at the 0.618 level in Q4 2025, contingent on smooth market rotation [2][3] Weekly Market Overview - Major indices showed a mixed performance, with the Shanghai Composite, Shanghai 50, and CSI 300 down by 1.30%, 1.98%, and 0.44% respectively, while growth indices like the CSI 500 and CSI 1000 saw slight increases of 0.32% and 0.21% [10][53] - The technology sector dominated, with significant gains in hard technology-related industries such as electric new energy, electronics, and communications, which rose by 3.61%, 2.75%, and 1.01% respectively. In contrast, the financial sector faced declines, with banks and non-banking financials down by 4.09% and 3.80% [13][54] - Market sentiment improved with an increase in average daily trading volume to 2.49 trillion yuan, and the margin trading balance continued to rise, reaching 2.40 trillion yuan [21][27] Market Attribution - Key events influencing the market included a consensus reached between China and the U.S. regarding the TikTok issue, a 25 basis point rate cut by the Federal Reserve, and stable economic performance in China for August, with industrial value-added growth at 5.2% year-on-year [51][52] Future Market Outlook - The Shanghai Composite Index is expected to undergo a consolidation phase for 1-2 weeks, with previous low points providing support. The market's ability to form a healthy rotation among sectors will be crucial for future upward movement [2][55] - The recommendation is to maintain current positions and consider increasing allocations post-adjustment, particularly favoring real estate, infrastructure, and social services while reducing exposure to technology and media sectors [3][56]

Investment Rating - The industry investment rating is "Positive" (maintained) [7] Core Viewpoints - The offshore wind sector is expected to reach its peak in Q3, driven by optimistic domestic and international market conditions. Global offshore wind auction capacity is projected to reach 56.3GW in 2024, with an additional 100GW expected in the next two years. In China, the acceleration of offshore wind project construction since Q2 is anticipated to lead to a short-term performance realization in Q3 [1][2] - The profitability of components is expected to be strong due to the trend of larger wind turbines and expansion into overseas markets. The domestic wind turbine market is experiencing a shift towards larger models, leading to a temporary shortage of large components and increased bargaining power, resulting in excess profits in the component sector [2] - The turbine manufacturers are focusing on profit recovery and international expansion. Many turbine companies are entering a profit recovery phase, with improved cost structures and increased market demand. The price of wind turbines is expected to rise further, driven by a focus on quality and lifecycle economics [3][4] Summary by Sections Offshore Wind Market - The global offshore wind auction capacity is projected to reach 56.3GW in 2024, with an additional 100GW expected in the next two years. European countries are accelerating offshore wind projects, with significant increases in the number of grid-connected projects starting from 2026 [1] - In China, the acceleration of offshore wind project construction since Q2 is expected to lead to a performance realization in Q3, supported by policies promoting the "marine economy" and the advancement of deep-sea demonstration projects [1] Components Sector - The trend towards larger wind turbines is creating a temporary shortage of large components, enhancing the bargaining power of component manufacturers and leading to excess profits [2] - Domestic leading companies in the component sector are actively expanding into overseas markets, with significant increases in overseas orders expected to contribute to performance growth [2] Turbine Manufacturers - Turbine manufacturers are focusing on profit recovery through improved cost structures and increased market demand. The price of wind turbines is expected to rise further, driven by a focus on quality and lifecycle economics [3] - In 2024, domestic wind turbine exports are projected to reach 5.19GW, with cumulative exports expected to reach 20.79GW by the end of 2024. Companies like Goldwind and Mingyang Smart Energy are achieving breakthroughs in overseas markets [4] Investment Recommendations - Recommended companies for investment include: - Offshore wind infrastructure and towers: Dajin Heavy Industry, Haili Wind Power, and Tiensun Wind Energy - Submarine cables: Dongfang Cable, Zhongtian Technology, and Hengtong Optic-Electric - Castings and forgings: Jinlei Co., Riyue Co., and Guangda Special Materials - Turbine manufacturers: Goldwind, Yunda Co., Mingyang Smart Energy, and Sany Heavy Energy [5]

Overview - The report highlights that the consumer electronics sector is focusing on the 2025 replacement cycle, with AI applications gradually being implemented [3][7] - The semiconductor industry is experiencing rapid growth in AI computing power, necessitating domestic production capabilities [3][14] Consumer Electronics - The global smartphone market is showing signs of weak recovery, with a 1% year-on-year decline in Q2 2025, totaling 288.9 million units shipped [22] - The iPhone 17's design and price-performance improvements are expected to drive consumer purchases, benefiting the supply chain [7][22] - AI glasses are anticipated to see significant growth, with a 216% year-on-year increase in shipments in Q1 2025 [76][78] - The foldable phone ecosystem is maturing, with cost reductions and brand promotions leading to increased shipments [13][73] Semiconductor - The global AI infrastructure investment visibility is improving, with major cloud providers optimistic about CAPEX growth for 2026 [14][15] - The demand for SoC chips is expected to rise due to government policies promoting AI applications [15] - Domestic semiconductor manufacturing is crucial, with advancements in wafer fabrication and packaging technologies [16] - The semiconductor materials sector is benefiting from the expansion of domestic wafer fabs, driving demand for materials [16] Key Technologies - The report emphasizes the importance of innovations in battery technology, such as silicon-carbon anodes and steel shell structures, to enhance device performance [12][49] - The introduction of LTPO technology in displays is expected to improve power efficiency and is being adopted across various smartphone models [63] - Optical innovations, including the introduction of a true 1-inch CMOS sensor and dual-periscope lenses, are set to enhance camera capabilities in smartphones [64][71] Strategic Expansion - The report notes the strategic expansion into humanoid robots and electric vehicles, highlighting the interdependence of the consumer electronics supply chain [85][89] - The AI computing hardware market is witnessing significant investments, indicating a competitive landscape among major players [91][92]

1. Report Industry Investment Rating No investment rating information is provided in the content, so this part is skipped. 2. Core Views of the Report - The probability of the central bank restarting Treasury bond trading is increasing, and it is worth expecting the central bank to announce the restart of Treasury bond trading within the year. The expectation of the central bank restarting Treasury bond trading may lead to a decline in long - term interest rates [1][4]. - If the central bank restarts buying bonds, the 10 - year Treasury bond yield may fall below 1.70%, similar to the situations in the first half of 2015 and 2019 [4]. 3. Summary According to the Directory 3.1 Reasons for the Increasing Probability of the Central Bank Restarting Treasury Bond Trading - **Tool Establishment Intention**: When the central bank's Treasury bond trading operation was set up, it had the implication of being a normal monetary policy tool. Currently, the interest rate is in a stable range - bound state, which provides a market foundation for the central bank to resume normal operations. In early 2025, the central bank suspended this operation, perhaps due to the rapid decline in interest rates [1][11]. - **Institutional Design**: The central bank's draft for soliciting opinions in July 2025 removed the freeze on collateral for bond repurchases. Coupled with the recent extension of the maturity of large banks' Treasury bond purchases from within 3 years to 3 - 5 years, if the central bank restarts Treasury bond trading, the pressure on large banks to "sweep the market" will decrease, and the impact on short - and medium - term interest rates may be systematically reduced [2][15]. - **Current Necessity**: Although the immediate need to restart Treasury bond trading from the perspective of liquidity is relatively low, given the limited room for further cuts in the reserve requirement ratio and the stable operation of the bond market, there is a need to resume normal long - term liquidity adjustment through Treasury bond trading. It is difficult to normalize the function of adjusting the interest rate curve, and the necessity of selling long - term bonds for adjustment is insufficient [3][18]. 3.2 Impact of the Central Bank Restarting Treasury Bond Trading - **Impact on Liquidity**: Restarting Treasury bond trading may be a "icing on the cake" operation. Even if the central bank does not restart, inter - bank liquidity is expected to remain stable and abundant. The central bank's short - and medium - term liquidity injection is obvious, and corporate foreign exchange settlement and fiscal factors will lead to endogenous liquidity easing in Q4 [4][30]. - **Impact on the Bond Market Strategy**: If the central bank restarts buying bonds within the year, the 10 - year Treasury bond yield may fall below 1.70%. The expectation of the central bank restarting Treasury bond trading may lead to a decline in long - term interest rates [4][31]. 3.3 Other Related Points - **Function Importance Ranking**: The importance ranking of the functions of central bank Treasury bond trading is: liquidity management > cooperation with Treasury bond issuance > adjustment of the interest rate curve [18]. - **Judgment on Future Operations**: The central bank's Treasury bond trading as a liquidity management tool has the implication of being normal. Currently, the necessity of restarting is slightly insufficient, but it can be launched in small amounts in advance. The removal of the freeze on collateral for bonds will reduce policy costs and systematically reduce the impact on short - and medium - term interest rates [27].

Market Overview - On September 18, the Shanghai Composite Index fell by 1.2%, and the CSI 300 also decreased by 1.2%. The STAR Market 50 rose by 0.7%, while the CSI 1000 dropped by 1.0%, and the ChiNext Index fell by 1.6%. The Hang Seng Index decreased by 1.4% [5][7] - The best-performing sectors on that day were electronics (+0.9%), communications (+0.2%), and social services (0.0%). The worst-performing sectors included non-ferrous metals (-3.6%), comprehensive (-2.9%), non-bank financials (-2.8%), media (-2.3%), and beauty care (-2.2%) [5][7] - The total trading volume in the Shanghai and Shenzhen markets was 31,352 billion yuan, with a net inflow of 6.29 billion HKD from southbound funds [2][7] Important Recommendations - The report highlights the acquisition of Jintai Technology's storage business by Kaipu Cloud (688228), aiming to establish a comprehensive AI service provider integrating software and hardware. Jintai Technology is a leading domestic enterprise memory module manufacturer, presenting significant growth potential due to domestic substitution and first-mover advantages. The expected revenue for Kaipu Cloud from 2025 to 2027 is projected to be 717 million, 798 million, and 891 million yuan, with net profit estimates of 35.51 million, 46.43 million, and 49.24 million yuan, respectively [3][8] Key Insights - The macroeconomic report indicates that fiscal spending continues to show a strong trend, with a focus on the implementation of new policy financial tools. The broad fiscal revenue growth rate has been improving, while the expenditure growth rate is stabilizing [6][8] - In the chemical industry, the report suggests that the ongoing anti-involution policies are leading to the introduction of measures to eliminate backward production capacity, which is expected to improve supply and demand dynamics. Investment opportunities are identified in sectors such as chemical fibers, olefins, agricultural chemicals, and new materials for import substitution [6][11] - The report on Xian Dao Intelligent (300450) indicates that a turning point in performance has been established, with solid-state battery business opening new growth avenues. The report emphasizes the potential for growth driven by improvements in the lithium battery sector and significant technological advancements [4][12]

Core Insights - The trend of institutionalization and passive investment in the convertible bond market is accelerating, with public funds holding a record 41% of convertible bonds by mid-2025, indicating a shift from active alpha-driven strategies to beta-driven strategies [2][12][16] - The LSM (Least Squares Monte Carlo) model identifies mispricing in convertible bonds, allowing for the discovery of undervalued securities [3][19][29] - A multi-factor enhancement strategy combining valuation, game theory, and elasticity factors has shown an annualized return of 25.1%, significantly outperforming convertible bond ETFs by over 19% [4][47] Group 1: Special Background - The convertible bond market is experiencing unprecedented institutionalization and indexation, with the total market size fluctuating from 705.3 billion yuan at the end of 2021 to 672.8 billion yuan by mid-2025 [12][16] - The rapid growth of convertible bond ETFs, which reached over 700 billion yuan in less than three months, is attracting significant capital seeking low-cost exposure to the convertible bond market [13][16] Group 2: Option Pricing - The LSM model effectively incorporates complex games and default risks, achieving a high explanatory power (R² of 98.6%) in pricing convertible bonds [3][29] - The model's unique perspective on undervaluation differs from traditional dual-low valuation methods, allowing it to identify mispricing opportunities due to factors like clause complexity and volatility perception [30][31] Group 3: Factor Enhancement - The multi-factor strategy utilizes three key factors: dual-low valuation, convertible bond balance, and underlying stock volatility, to construct a portfolio that captures undervalued securities with game value and upward elasticity [4][42][47] - The strategy's performance has been validated through backtesting, demonstrating superior risk-adjusted returns compared to benchmarks [47] Group 4: Strong Redemption Prediction - The demand for strong redemption from issuers is evident, with 30 convertible bonds announcing strong redemptions in the second half of 2025, primarily driven by the performance of underlying stocks [48][49] - A predictive model quantifies the probability of redemption events, helping investors avoid risks and identify opportunities based on issuer behavior [5][49]

Report Industry Investment Rating The document does not provide the industry investment rating. Core Viewpoints of the Report The report, as a continuation of AI - empowered bond market investment research, focuses on the current application of AI technology in the bond market and vertical large - models in the frontier fixed - income field. It details AI applications in bond investment research, such as curve construction, investment research process optimization, and structured product pricing. Future reports will cover the practical application of quantitative means in the bond market [1]. Summary by Relevant Catalogs 1. Introduction In 2025, with the popularity of DeepSeek, AI represented by large language models has evolved rapidly, changing the research and practice paradigms in the financial market. In the fixed - income and asset allocation fields, AI introduction has more challenges and value due to the large market capacity, diverse tools, and complex trading chains. Traditional fixed - income investment methods have limitations, and large - model technology can help market participants break information barriers and improve research depth and decision - making efficiency [11]. 2. Current Development Trends of Large Models In 2025, large - model development trends are "flagship - oriented, ecological, and embedded". Flagship models like GPT - 5, Claude 4, Gemini 2.0, and Llama 4 have become mature products. The ecological trend shows parallel open - source and closed - source paths. The embedded trend is reflected in models like BondGPT, which have penetrated the whole process of investment research, trading, and risk control. For the bond market, fixed - income vertical models like BondGPT Intelligence can directly embed generative AI into bond trading, promoting the shift from "human - machine separation" to "human - machine collaboration" [13][18]. 3. Application of AI Large Models in Fixed - Income Investment BlackRock Aladdin, a global leading asset management platform, has entered the "production - level implementation" stage. In investment research, it can process non - structured text information, extract key information, and generate summaries. In investment portfolio construction and rebalancing, it can generate scenario analyses and optimization tools. In trading execution, it scores and ranks bond market liquidity, improving trading efficiency. In risk control, it can detect potential risks and generate reports. The development path of BlackRock Aladdin provides a paradigm for other financial institutions, and the future Aladdin may become an AI - driven investment operating system [19][30]. 4. Vertical Large Models in Fixed - Income and Asset Allocation Fields - **BondGPT**: Driven by GPT - 4 and bond & liquidity data from LTX, it is used for pre - trading analysis of corporate bonds, including credit spread analysis and natural language queries for illiquid securities. It can assist in key pricing decisions, etc., with advantages such as instant information access, an intuitive user interface, and fast result return, and it can increase transaction file processing speed by 40% [32]. - **BondGPT+**: As an enterprise - level version of BondGPT, it allows customers to integrate local and third - party data, provides various deployment methods and API suites, and can be embedded in enterprise applications. It has functions like real - time liquidity pool analysis and automatic RFQ response, significantly improving the matching efficiency between dealers and customers [35]. 5. Implemented AI Applications in Fixed - Income and Asset Allocation Fields - **Curve Building**: It transforms discrete market quotes into continuous and interpolatable discount/forward curves. Generative AI has brought significant changes to traditional interest - rate modeling, with AI - based models showing better accuracy and adaptability than traditional methods. For example, a new deep - learning framework has 12% higher accuracy than the Nelson - Siegel model, and the error of the improved Libor model for 1 - 10 - year term interest rates is less than 0.5% [40]. - **Reshaping the Bond Investment Research Ecosystem**: Large language models and generative AI are reshaping the fixed - income investment research ecosystem. In trading, they provide natural - language interfaces and generation capabilities for bond analysis. They can summarize market data, policies, and research. For example, they can conduct sentiment analysis, generate summaries, and complete bond analysis tasks. BondGPT+ can improve trading counter - party matching efficiency by 25% [41]. - **ABS, MBS, Structured Products**: In structured product markets, AI - driven valuation frameworks can achieve automated cash - flow analysis, improve prepayment speed prediction accuracy by 10 - 20%, and reduce pricing errors of complex CMO tranches. Generative AI can simulate over 10,000 housing market scenarios, predict default rates with 89% accuracy, and help investors optimize portfolios and strategies [44][45].

Core Insights - Since July 2023, after a round of technology-driven market performance, the speed of industry rotation has decreased, yet it remains at a historical median level over the past decade. The proprietary macro-friendly indicator system indicates a correlation of 0.7 with industry rotation speed, suggesting strong explanatory power. For Q4 2025, the macro drivers of industry rotation are expected to slightly increase, with rotation speed projected to be lower than in 2024 but higher than in 2021, indicating a potential for moderate levels of rotation. A relatively balanced allocation strategy may be a better choice under the expectation of continued structural market conditions [1][4]. Group 1 - The current industry rotation speed is at a historical median level, with the indicator based on the rolling cumulative excess returns of 30 primary industries relative to the Wind All A index. Since July 2023, following a technology-led market rally, the rotation speed has declined, with market consensus expectations gradually strengthening. The current indicator is near the 50th percentile, indicating a moderate level of industry rotation [2][11]. - The macro-friendly indicator system has been developed to construct the industry rotation macro driver indicator. This indicator is defined as the difference between the Chinese financial cycle friendliness and inventory cycle friendliness, adjusted by the US macro friendliness. The correlation between the Chinese financial-inventory cycle and industry rotation speed exceeds 0.6, while the US macro friendliness has a correlation close to -0.6. The combined industry rotation macro driver shows a correlation of 0.7 with industry rotation speed, which is at a historical median as of August 2025 [3][18]. Group 2 - For Q4 2025, the macro drivers of industry rotation are expected to slightly increase, with both the Chinese financial cycle and inventory cycle friendliness anticipated to rise to varying degrees. The US macro friendliness is also expected to increase slightly due to a more favorable financial cycle and a recovery in the inventory cycle. Overall, the macro drivers of industry rotation are projected to experience slight fluctuations, with rotation speed expected to be lower than in 2024 but higher than in 2021, suggesting a moderate level of rotation. A relatively balanced allocation strategy may be more favorable in the context of ongoing structural market expectations [4][21][22].