Quantitative Models and Construction Methods Macro Indicator Trend Model - **Model Name**: Macro Indicator Trend Model - **Construction Idea**: Establish the relationship between macro indicators and asset performance by analyzing the trend of macro indicators and their impact on monthly asset returns[17][18] - **Construction Process**: - Use monthly moving averages of macro indicators to classify them into upward or downward trends - Apply T-test to determine whether the distribution of monthly returns of assets differs significantly under upward and downward trends - Formula: $ t = \frac{\overline{R_1} - \overline{R_2}}{\sqrt{\frac{(n_1-1)S_1^2 + (n_2-1)S_2^2}{n_1+n_2-2}(\frac{1}{n_1} + \frac{1}{n_2})}} \sim t_{n_1+n_2-2} $ - $\overline{R_1}$ and $\overline{R_2}$: Average monthly returns under upward and downward trends - $S_1$ and $S_2$: Standard deviations of monthly returns under upward and downward trends - $n_1$ and $n_2$: Number of months under upward and downward trends[17][18] - **Evaluation**: Effectively identifies macro indicators with significant impacts on asset returns[17][18] Technical Perspective Model - **Model Name**: Technical Perspective Model - **Construction Idea**: Evaluate asset trends, valuation, and fund flows using historical data and specific calculation methods[22][23][25] - **Construction Process**: - **Trend**: Use closing prices or LLT indicators to calculate trend indicators. Assign +1 for upward trends and -1 for downward trends[22] - **Valuation**: Calculate equity risk premium (ERP) as the reciprocal of PE(TTM) minus the 10-year government bond yield. Define historical 5-year percentile as: $ (Current ERP - Historical 5-year ERP Minimum) / (Historical 5-year ERP Maximum - Historical 5-year ERP Minimum) $ Assign scores based on percentile levels: +2 for >90%, +1 for 70%-90%, 0 for 30%-70%, -1 for 10%-30%, -2 for <10%[23][25] - **Fund Flows**: Calculate monthly active net inflows for indices and assess marginal changes. Assign +1 for positive changes and -1 for negative changes[26] - **Evaluation**: Provides a comprehensive view of asset trends, valuation, and fund flows[22][23][25] Fixed Proportion + Macro Indicators + Technical Indicators Combination Model - **Model Name**: Fixed Proportion + Macro Indicators + Technical Indicators Combination Model - **Construction Idea**: Adjust asset weights based on macro and technical indicators while maintaining a fixed proportion baseline[36][40] - **Construction Process**: - Set baseline weights for equity, bonds, commodities, and currency assets - Adjust weights monthly based on macro and technical indicator signals[36][40] - **Evaluation**: Balances fixed proportion allocation with dynamic adjustments for improved performance[36][40] Controlled Volatility + Macro Indicators + Technical Indicators Combination Model - **Model Name**: Controlled Volatility + Macro Indicators + Technical Indicators Combination Model - **Construction Idea**: Limit annualized volatility to 6% while dynamically adjusting weights based on macro and technical indicators[46][50] - **Construction Process**: - Use risk parity as the baseline weight - Adjust weights monthly based on macro and technical indicator signals[46][50] - **Evaluation**: Reduces volatility while maintaining competitive returns[46][50] Equity Style Rotation Models - **Model Name**: Equity Style Rotation Models (Large/Small Cap and Growth/Value) - **Construction Idea**: Adjust weights between equity styles based on macro and technical indicators[57][58] - **Construction Process**: - Set baseline weights for large/small cap and growth/value styles - Adjust weights monthly based on macro and technical indicator signals[57][58] - **Evaluation**: Captures style rotation opportunities for enhanced returns[57][58] --- Model Backtesting Results Macro Indicator Trend Model - **Annualized Return**: Not explicitly provided - **Maximum Drawdown**: Not explicitly provided - **Annualized Volatility**: Not explicitly provided Technical Perspective Model - **Annualized Return**: Not explicitly provided - **Maximum Drawdown**: Not explicitly provided - **Annualized Volatility**: Not explicitly provided Fixed Proportion + Macro Indicators + Technical Indicators Combination Model - **Annualized Return**: 10.20%[40] - **Maximum Drawdown**: 9.27%[40] - **Annualized Volatility**: 6.14%[40] Controlled Volatility + Macro Indicators + Technical Indicators Combination Model - **Annualized Return**: 10.46%[50] - **Maximum Drawdown**: 7.37%[50] - **Annualized Volatility**: 5.54%[50] Large/Small Cap Rotation Model - **Annualized Return**: 14.30%[61] - **Maximum Drawdown**: 49.10%[61] - **Annualized Volatility**: 22.30%[61] Growth/Value Rotation Model - **Annualized Return**: 14.43%[68] - **Maximum Drawdown**: 45.18%[68] - **Annualized Volatility**: 21.57%[68]

Group 1 - The issuer of the bond is China National Railway Group Co., Ltd., and the total issuance scale is 10 billion yuan for the "2026 Third Phase China Railway Construction Bond" [4][29] - The bond is divided into two types: a 10-year bond with a scale of 5 billion yuan and a 30-year bond with a scale of 5 billion yuan, totaling 10 billion yuan [21][29] - The bonds will be issued at a fixed interest rate, with the 10-year bond's interest rate being the Shibor benchmark rate plus a basic spread ranging from -0.3% to 0.7%, and the 30-year bond's interest rate ranging from 0.1% to 1.1% [21][29] Group 2 - The main underwriter for this bond issuance is Guotai Junan Securities Co., Ltd., which is responsible for managing the underwriting team and coordinating the issuance process [5][31] - The bonds will be publicly issued to institutional investors through a bidding system on the Shenzhen Stock Exchange [22][31] - The bonds will be registered and held by the Shenzhen branch of the China Securities Depository and Clearing Corporation and the Central Government Bond Registration and Clearing Co., Ltd. [24][30] Group 3 - The bonds will have a maturity date of February 5, 2036, for the 10-year bond and February 5, 2056, for the 30-year bond [27] - The bonds will be issued at par value of 100 yuan, with a minimum subscription unit of 10 million yuan [24][29] - The bonds will be guaranteed by the Railway Construction Fund, providing an irrevocable joint liability guarantee [29]

Core Viewpoint - The overall performance forecast for Chinese airlines in 2025 indicates a trend of "significantly reduced losses, some airlines turning profitable, and accelerated profit differentiation" [2][3]. Group 1: Annual Performance Forecast - China Southern Airlines and Hainan Airlines have turned profitable, contributing significantly to the sector's profit recovery, while Air China and China Eastern Airlines remain in the loss zone, with China Eastern's losses narrowing [1][2]. - China Southern Airlines and Hainan Airlines are the core contributors to profit recovery, while Huaxia Airlines continues to show growth, reflecting the relative advantages of regional routes and operational flexibility [2][3]. Group 2: Quarterly Performance Insights - In Q4 2025, the industry remains under pressure with losses prevailing, but most airlines show significant year-on-year improvements, indicating a continued recovery trend despite seasonal profitability pressures [1][2]. Group 3: Future Outlook - Demand remains a key variable for ticket price recovery and profit improvement, with domestic passenger volume expected to grow moderately due to normalized consumer travel and enhanced leisure tourism [4]. - The supply constraints and cost pressures are likely to amplify profit elasticity, with slow aircraft deliveries maintaining capacity control and policies aimed at reducing disorderly competition stabilizing revenue quality [4]. Group 4: Recommended Stocks - The top picks include Hainan Airlines (600221.SH) and Huaxia Airlines (002928.SZ), with a focus on China National Aviation (601111.SH, 00753), Juneyao Airlines (603885.SH), and Spring Airlines (601021.SH) [5].

Summary of Key Points Core Viewpoint - The article provides an overview of the dividend progress of various stock indices and their components, highlighting the current status of dividend proposals, approvals, and implementations across different sectors. Group 1: Broad Index Dividend Progress - In the CSI 300 index, one company has passed the board proposal stage for dividends [1] - In the SSE 50 index, one company has also passed the board proposal stage for dividends [1] - In the CSI 500 index, one company has implemented dividends, totaling 1.30 billion [4] - In the CSI 1000 index, one company is at the shareholder proposal stage for dividends [1] Group 2: Industry Index Dividend Progress - In the pharmaceutical and biotechnology sector, one company has implemented dividends totaling 0.66 billion, and another has passed the shareholder meeting approval stage [2][6] - In the public utilities sector, one company has passed the shareholder meeting approval stage for dividends [2][6] - In the machinery and equipment sector, one company is at the shareholder proposal stage, and another is at the board proposal stage [2][6] - In the coal sector, one company has implemented dividends totaling 1.30 billion [2][6] - In the oil and petrochemical sector, one company has implemented dividends totaling 0.14 billion [2][6] Group 3: Stock Index Futures Basis - The annualized basis rates for the CSI 300 near-month, far-month, near-quarter, and far-quarter contracts are -0.25%, 0.04%, 0.44%, and 0.55% respectively [3] - The annualized basis rates for the SSE 50 near-month, far-month, near-quarter, and far-quarter contracts are -0.89%, -1.30%, -1.67%, and -1.57% respectively [3] - The annualized basis rates for the CSI 500 near-month, far-month, near-quarter, and far-quarter contracts are -4.14%, -2.29%, -0.53%, and 1.11% respectively [3] - The annualized basis rates for the CSI 1000 near-month, far-month, near-quarter, and far-quarter contracts are -1.56%, 1.25%, 4.20%, and 5.11% respectively [3]

Core Viewpoint - The China Securities Association has updated the classification list of sponsor representatives, with 16 individuals rated as D-class, temporarily losing their signing qualifications due to various violations [1][4]. Group 1: D-Class Representatives - A total of 16 D-class representatives are involved, with 11 brokerage firms represented, including notable firms like Guotai Junan Securities and CICC, each having two representatives on the list [5][8]. - Compared to the D-class list updated in June last year, 4 representatives have been removed, while 3 new representatives have been added from First Capital Securities, Guolian Minsheng Securities, and Dongwu Securities [1][5]. Group 2: Violations and Penalties - The violations of the D-class representatives include issues related to convertible bonds, IPOs, and private placements, with some facing significant fines [4][6]. - For instance, Fan Benyuan from First Capital Securities was penalized for failing to detect misuse of approximately 1.7 billion yuan in fundraising for a convertible bond project, resulting in a total penalty of about 16.98 million yuan [5][6]. - Jin Yaping from Guolian Minsheng Securities was noted for a unique case of severe penalties due to long-term stock trading violations, amounting to over 10 million yuan [5][6]. Group 3: Regulatory Mechanism - The D-class classification is part of a regulatory mechanism that has evolved since its inception, with the latest revisions in September 2024 introducing stricter criteria for classification based on recent administrative penalties [8][9]. - The classification aims to enforce accountability among sponsor representatives, ensuring that violations lead to significant repercussions, thereby enhancing the integrity of the IPO process [9][10]. - The current C-class list includes 281 representatives, with 86 added in 2025, indicating a dynamic adjustment in regulatory oversight [10].

Core Insights - The report highlights a significant increase in the proportion of southbound capital transactions, which has risen to 20%-30% since September 2024, nearly doubling compared to before 2024. This trend indicates that both active and passive foreign capital are closely aligned with the Hong Kong stock market, lacking any leading indicators [3]. - The report discusses the recent implementation of a capacity pricing mechanism for power generation by the National Development and Reform Commission and the National Energy Administration, which aims to enhance the marketization of electricity pricing and support the development of the electricity market [3]. - The macroeconomic outlook suggests potential shifts in the Federal Reserve's policy framework under the nomination of Walsh, focusing on supply-side analysis and price stability, which could impact market dynamics significantly [3]. Southbound Capital Strategy - Since September 2024, the share of southbound capital transactions has rapidly increased to 20%-30%, indicating a strong inflow of medium to long-term funds into the Hong Kong stock market [3]. - The report notes that southbound capital tends to react to market conditions, with a tendency for reverse buying during market downturns, reflecting a growing influence in sectors like semiconductors and dividends [3]. - The report anticipates that the fourth quarter will see significant inflows into Hong Kong stocks primarily from passive ETFs and insurance funds, suggesting a shift in investment strategies [3]. Power Equipment Sector - The newly introduced capacity pricing mechanism is expected to enhance the marketization of electricity pricing, which will support the development of the electricity market and improve revenue for storage and generation sectors [3]. - The report emphasizes that the capacity pricing mechanism will gradually transition towards a fully market-oriented approach, which is crucial for the future of electricity trading [3]. - The new policies are expected to increase revenue for storage solutions, potentially alleviating cost pressures on battery and material prices [3]. Macroeconomic Outlook - The nomination of Walsh as the next Federal Reserve Chair may lead to a paradigm shift in policy analysis from demand-side to supply-side, focusing on price stability as the core of monetary policy [3]. - The report highlights two critical areas for validation: the potential for AI to significantly enhance productivity and whether a loose monetary policy under these conditions will not lead to inflation [3]. - If these expectations are not met, the market may face challenges related to term premiums and inflationary pressures [3].

Investment Rating - The report maintains an "Overweight" rating for the securities and banking sectors, while also recommending an "Overweight" for the insurance sector [9]. Core Insights - The report highlights a vibrant performance in the securities industry, with a daily average trading volume of 30.6 billion yuan in A-shares and a financing balance stabilizing at 2.7 trillion yuan, reaching a new high [12][13]. - The China Securities Regulatory Commission (CSRC) plans to expand the types of strategic investors, allowing specific institutional investors to participate as strategic investors, which is expected to enhance long-term capital inflow into the market [12][14]. - The insurance sector shows a recovery trend, with leading companies like China Life Insurance seeing significant stock price increases, indicating potential for further valuation recovery [27]. - The banking sector is experiencing a preemptive credit issuance at the start of the year, with banks like Qingdao Bank and Xiamen Bank reporting strong earnings growth, which is expected to support net interest margins throughout the year [31][32]. Summary by Sections Securities - The report emphasizes the strong performance of leading brokerage firms, with notable earnings forecasts for 2025, including a 40% increase in net profit for CITIC Securities and a 69%-73% increase for Guotai Junan [15][16]. - Recommended stocks include top brokerages such as CITIC Securities, Guotai Junan, and GF Securities, as well as quality regional brokerages like Guoyuan Securities [3][13]. Insurance - The insurance sector is recommended for investment, particularly in leading companies. The report notes that the overall market sentiment remains high, with opportunities for beta trading in the insurance sector [27]. - Investors with higher risk tolerance are encouraged to consider high-elasticity combinations represented by companies like Xinhua Insurance, while conservative investors may focus on stable companies like Ping An Insurance and China Life Insurance [27]. Banking - The banking sector is highlighted for its strong performance, with Qingdao Bank reporting an 8.0% increase in revenue and a 21.7% increase in net profit, indicating improved asset quality [32]. - The report suggests that the preemptive credit issuance by regional banks and the benefits from high-interest deposits maturing will support net interest margins [33]. - Recommended banking stocks include quality regional banks such as Nanjing Bank and Chengdu Bank, as well as larger banks like Shanghai Bank and Industrial and Commercial Bank of China [3][31].

Group 1: Precious Metals and Market Trends - The precious metals sector is showing increasing speculative attributes, warranting caution [2] - The current market is experiencing a style shift from small-cap to large-cap stocks and from themes to quality [2] - The overall trend indicates a potential for profit margin recovery in cyclical sectors, driven by a shift in Chinese policy from expansion to quality improvement [2] Group 2: AI and Technology Opportunities - There is a focus on AI applications and energy storage as key growth areas, with expectations for recovery in lithium battery materials and storage sectors [3] - The AI industry remains a long-term focus, with significant policy support and market optimism surrounding its applications [5] - The technology theme, including AI applications and structural recovery opportunities, is highlighted as a key area for investment [7] Group 3: Spring Market Dynamics - The spring market is expected to continue its upward trend, supported by ample liquidity and positive domestic fundamentals [5] - High elasticity growth themes may still perform well after a phase of profit-taking, with potential for further gains in February [4] - Sector rotation is anticipated to be a dominant theme leading up to the Spring Festival, with a focus on structural opportunities [9] Group 4: Commodity Recommendations - A recommendation has been made to adjust the order of investment focus to include crude oil, copper, aluminum, tin, and lithium, reflecting a shift towards industrial pricing [8] - The emphasis on physical assets is expected to strengthen, with a focus on sectors like chemicals and consumer goods benefiting from domestic recovery [8] Group 5: Market Sentiment and Future Outlook - The market sentiment remains cautious but optimistic, with expectations for continued support from domestic policies and liquidity [5][6] - The potential for structural recovery in manufacturing and resource sectors is noted, with clear paths for profit recovery [9] - The upcoming credit and inflation data in January may provide additional positive signals for the market [4]

[Table_Page] 宏观经济研究报告 2026 年 2 月 1 日 证券研究报告 [Table_Title] 广发宏观 1 月 PMI 向下，BCI 向上 [Tabl e_Author] 分析师： 郭磊 SAC 执证号：S0260516070002 SFC CE.no: BNY419 021-38003572 guolei@gf.com.cn [Table_Summary] 报告摘要： ⚫ 1 月 PMI 向下，制造业、非制造业环比均回落 0.8 个点；BCI 向上，BCI 环比回升 3.9 个点。我们理解主要是 环比指标和同比指标的区别。PMI 是一个环比指标，BCI 在指标设计上则兼容环比和同比。2025 年春节在 1 月 底，2026 年在 2 月中下旬，1 月企业普遍处于正常开工状态，所以同比会比较有利。 据万得数据（下同），1 月制造业 PMI 为 49.3，低于前值的 50.1；非制造业 PMI 为 49.4，低于前值 50.2。 1 月 BCI 为 53.7，高于前值的 49.8。 ⚫ 制造业 PMI 的放缓幅度要略大于季节性，历史上同样春节偏晚的 2015 年 1 月、2018 年 1 ...

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！ 摘要 第一，2026年1月30日，特朗普宣布他将提名沃什担任下届美联储主席，接替鲍威尔，鲍威尔作为主席 的任期将于 5 月届满。特朗普在声明中回顾了沃什的职业背景，并声称沃什将成为"史上最伟大的美联 储主席之一"（he will go down as one of the great Fed chairmen），且"绝不会让人失望"（he will never let you down）。提名仍需参议院银行委员会听证及全体投票确认。 第二，沃什的履历组合非常多样化，他同时具备华尔街并购、白宫经济政策工作以及美联储危机应对的 实操经验。他曾在1995年-2002年担任摩根士丹利执行董事负责并购业务，熟悉华尔街运作机制；在 2002-2006白宫经济政策特别助理、国家经济委员会执行秘书。在2006年至2011年担任美联储理事。在 2008年全球金融危机期间，他担任美联储与华尔街之间的首席联络人，并且是G20代表。2011年，他因 反对第二轮量化宽松（QE2）而辞职，认为这种大规模买入债券的行为会扭曲市场，并可能导致未来严 重的通胀和财政纪律 ...