Quantitative Models and Construction Methods 1. Model Name: Volume Model - **Construction Idea**: The model uses trading volume data to predict market trends[1][13] - **Construction Process**: The model analyzes the trading volume of various broad-based indices to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in capturing short-term market movements[1][13] 2. Model Name: Feature Dragon Tiger List Institutional Model - **Construction Idea**: This model uses institutional trading data from the Dragon Tiger List to predict market trends[1][13] - **Construction Process**: The model analyzes the trading activities of institutions listed on the Dragon Tiger List to generate buy or sell signals[1][13] - **Evaluation**: The model is useful for understanding institutional trading behavior and its impact on the market[1][13] 3. Model Name: Feature Volume Model - **Construction Idea**: This model uses specific volume characteristics to predict market trends[1][13] - **Construction Process**: The model analyzes specific volume patterns to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in identifying significant volume changes that precede market movements[1][13] 4. Model Name: Intelligent Algorithm CSI 300 Model - **Construction Idea**: This model uses intelligent algorithms to predict the CSI 300 index trends[1][13] - **Construction Process**: The model employs machine learning algorithms to analyze historical data and generate buy or sell signals for the CSI 300 index[1][13] - **Evaluation**: The model leverages advanced algorithms to improve prediction accuracy[1][13] 5. Model Name: Intelligent Algorithm CSI 500 Model - **Construction Idea**: This model uses intelligent algorithms to predict the CSI 500 index trends[1][13] - **Construction Process**: The model employs machine learning algorithms to analyze historical data and generate buy or sell signals for the CSI 500 index[1][13] - **Evaluation**: The model leverages advanced algorithms to improve prediction accuracy[1][13] 6. Model Name: Limit Up and Down Model - **Construction Idea**: This model uses the occurrence of limit up and down events to predict market trends[1][13] - **Construction Process**: The model analyzes the frequency and context of limit up and down events to generate buy or sell signals[1][13] - **Evaluation**: The model is effective in capturing extreme market movements[1][13] 7. Model Name: Up and Down Return Difference Model - **Construction Idea**: This model uses the difference between upward and downward returns to predict market trends[1][13] - **Construction Process**: The model calculates the difference between upward and downward returns to generate buy or sell signals[1][13] - **Evaluation**: The model provides insights into market momentum and potential reversals[1][13] 8. Model Name: Calendar Effect Model - **Construction Idea**: This model uses calendar-based patterns to predict market trends[1][13] - **Construction Process**: The model analyzes historical data to identify recurring calendar-based patterns and generate buy or sell signals[1][13] - **Evaluation**: The model is useful for identifying seasonal trends in the market[1][13] 9. Model Name: Long-term Momentum Model - **Construction Idea**: This model uses long-term momentum to predict market trends[1][14] - **Construction Process**: The model analyzes long-term price momentum to generate buy or sell signals[1][14] - **Evaluation**: The model is effective in capturing long-term market trends[1][14] 10. Model Name: A-Share Comprehensive Weapon V3 Model - **Construction Idea**: This model combines multiple factors to predict market trends[1][15] - **Construction Process**: The model integrates various indicators and models to generate a comprehensive buy or sell signal[1][15] - **Evaluation**: The model provides a holistic view of the market by combining multiple factors[1][15] 11. Model Name: A-Share Comprehensive Guozheng 2000 Model - **Construction Idea**: This model combines multiple factors to predict the Guozheng 2000 index trends[1][15] - **Construction Process**: The model integrates various indicators and models to generate a comprehensive buy or sell signal for the Guozheng 2000 index[1][15] - **Evaluation**: The model provides a holistic view of the market by combining multiple factors[1][15] 12. Model Name: Turnover Rate Inverse Volatility Model - **Construction Idea**: This model uses the inverse relationship between turnover rate and volatility to predict market trends[1][16] - **Construction Process**: The model analyzes the turnover rate and its inverse relationship with volatility to generate buy or sell signals[1][16] - **Evaluation**: The model is effective in identifying periods of high market uncertainty[1][16] Model Backtesting Results 1. Volume Model - **Indicator Value**: All broad-based indices are bullish[1][13] 2. Feature Dragon Tiger List Institutional Model - **Indicator Value**: Bullish[1][13] 3. Feature Volume Model - **Indicator Value**: Bullish[1][13] 4. Intelligent Algorithm CSI 300 Model - **Indicator Value**: Bullish[1][13] 5. Intelligent Algorithm CSI 500 Model - **Indicator Value**: Bullish[1][13] 6. Limit Up and Down Model - **Indicator Value**: Bullish[1][13] 7. Up and Down Return Difference Model - **Indicator Value**: All broad-based indices are bullish[1][13] 8. Calendar Effect Model - **Indicator Value**: Neutral[1][13] 9. Long-term Momentum Model - **Indicator Value**: Some broad-based indices are bullish[1][14] 10. A-Share Comprehensive Weapon V3 Model - **Indicator Value**: Bullish[1][15] 11. A-Share Comprehensive Guozheng 2000 Model - **Indicator Value**: Bullish[1][15] 12. Turnover Rate Inverse Volatility Model - **Indicator Value**: Bearish[1][16]

宏观研究 证 券 研 究 报 告 【宏观快评】2025 年 12 月通胀数据点评 物价：回顾 2025，展望 2026 主要观点 ❖ 回顾 2025 物价之整体形势：低位筑底 1、2025 年 12 月物价继续改善。CPI 同比从 0.7%升至 0.8%，预期 0.75%；核 心 CPI 同比高位持平于 1.2%；PPI 同比从-2.2%收窄至-1.9%，预期-2%。 2、季度来看，2025 年 CPI 同比前低后高，核心 CPI 同比逐季上行，PPI 同 比 V 形走势。2025 年 4 季度，CPI 食品、核心 CPI 和 PPI 的同比均为年内高 点，预计 4 季度 GDP 平减指数约-0.4%，1-3 季度分别为-0.8%、-1.2%、-1%。 3、年度来看，结合后续展望，2025 年物价或是低位筑底。CPI 同比 0%，小幅 低于 2023-24 年的 0.2%。核心 CPI 同比 0.8%，高于 2024 年的 0.5%。PPI 同 比-2.6%，低于 2024 年的-2.2%。GDP 平减指数约-0.9%，2024 年为-0.7%。 ❖ 回顾 2025 物价之 CPI：从普遍性走弱到结构性好转 ...

金融工程 证 券 研 究 报 告 【专题报告】 四季度指数涨跌互现，市场或震荡向上—— 2025 年四季度策略总结与未来行情预判 ❖ 摘要 2025 年第四季度已经过去，不同指数涨跌互现 ，其中创成长季度上涨 5.03%， 上证指数涨幅 2.22%。 从行业表现来看，四季度大部分中信一级行业正收益，其中石油石化上涨 16.97%，国防军工上涨 16.74%。 从择时收益上讲，2025 年第四季度择时模型总体表现能获取绝对正收益，虽 然大多数模型今年表现较难超越基准本身，但是在第四个季度的表现却可圈可 点。 2025 年四季度绝对收益表现优秀模型为上下行收益差模型、成交额倒波幅模 型、综合兵器 V3 模型、动量摆动模型、推波助澜 V3 模型、低波之刃模型、 沪深 300 指数智能择时模型。 最新择时信号： 短期：成交量模型所有宽基指数看多。低波动模型中性。智能 300 模型看多， 智能 500 模型看多。特征龙虎榜机构模型看多。特征成交量模型看多。 中期：涨跌停模型看多。上下行收益差模型所有宽基指数看多。月历效应模型 中性。 长期：动量模型部分宽基指数看多。 综合：综合兵器 V3 模型看多。综合国证 2000 ...

1. Report Industry Investment Rating No information provided in the content. 2. Core Viewpoints of the Report - In the second week of January, food price declines narrowed, while industrial product spot and futures prices rose. After the holiday, the resumption of work was relatively fast, and production generally improved compared to pre - holiday levels [37]. - For the bond market, January is an important window for the economy to achieve a "good start". Benefiting from the early release of "two new" policies and the expansion of the early batch of "two major" policies, the post - holiday resumption of work was fast, and production improved. The manufacturing PMI in December exceeded expectations in terms of production and orders. With more working days in January this year compared to last year and the impact of pre - Spring Festival stockpiling and rush work, the prosperity in production and exports is expected to continue, and the PMI at the end of the month may still be strong. Macro front - loaded efforts and the promotion of the "anti - involution" concept may boost short - term re - inflation trading expectations. The suppression of the bond market sentiment by the equity and commodity markets may still occur repeatedly, so high - frequency verification is needed, especially the slope and persistence of price index recovery [37]. 3. Summary According to the Directory 3.1 Inflation - related: Food Price Declines Narrowed - Pork price increases expanded, and the food price index showed a mild decline. From January 5th to January 9th, the average wholesale price of pork in the country increased by 1.45% week - on - week, and the decline of vegetable prices narrowed to - 0.9%. The 200 - index of agricultural product wholesale prices and the wholesale price index of basket products decreased by 0.1% and 0.2% respectively week - on - week, with the declines narrowing [10]. 3.2 Import and Export - related: Container Shipping Demand was Stable, and Freight Rate Indices were Divergent - Container shipping demand was basically stable, and route freight rates were divergent. This week, the CCFI index increased by 4.2% week - on - week, while the SCFI decreased by 0.5% week - on - week. The export container shipping market was generally stable. The demand and freight rates of European and North American routes were stable and rising, while the freight rates of routes such as Australia - New Zealand and South America declined significantly, dragging down the SCFI [15]. - In terms of port throughput, from December 29th to January 4th, the container throughput and cargo throughput of ports increased by 6.3% and decreased by 0.7% respectively compared to the pre - holiday week. The post - holiday resumption of work was fast, and there was a month - on - month improvement [15]. - The BDI and CDFI indices continued to weaken. Affected by the Christmas and New Year holidays, the international dry bulk shipping market entered the traditional off - season, with limited market trading activity. The BDI and CDFI decreased by 5.8% and 3.2% respectively, with the declines expanding [15]. 3.3 Industry - related: Industrial Production Rhythm Accelerated after the Festival - There was an expectation of tightened coal supply, and coal prices rose. This week, the price of thermal coal (Q5500) at Qinhuangdao Port increased by 1.8% week - on - week, compared with a 1.4% decline in the previous week. Before the New Year's Day, the heating load did not meet expectations, the demand for household electricity was weak, and the daily consumption of power plants decreased slightly. After the festival, the temperature dropped in the central and eastern regions, and the daily consumption of power plants increased. However, coal inventories were still relatively high compared to the same period. End - users mainly consumed inventories and ensured long - term contract shipments, with limited incremental demand. Before the Spring Festival, some coal mines completed their annual production and sales tasks and successively stopped production for maintenance, resulting in a phased tightening of pit - mouth supply and an obvious reduction in port inventories, which boosted coal prices [19][20]. - The decline of rebar prices expanded. The spot price of rebar (HRB400 20mm) decreased by 0.36% week - on - week, compared with a 0.02% decline in the previous week. Before the festival, the profitability of steel mills stabilized at a low level, and some blast furnaces resumed production after maintenance. After the holiday, more production resumed, the rebar output continued to rise, and the inventories in factories and society ended the destocking trend and turned to inventory accumulation [20]. - The asphalt start - up rate was at a low level compared to the same period at the beginning of the year. This week, the start - up rate of asphalt plants decreased by 6.8 percentage points to 25.4% week - on - week, and was 1.6 percentage points lower year - on - year, still at a seasonal low. The road construction demand in the north basically stagnated, while the demand in South China and Southwest China was okay, but mainly focused on digesting existing inventories, with limited boost to production increments [20]. - Copper prices continued to rise. This week, the average prices of Yangtze River non - ferrous copper and LME copper increased by 2.8% and 4.8% respectively week - on - week, maintaining a strong trend. On the one hand, there was still an expectation of tightened supply. On the other hand, the good performance of China's manufacturing PMI and the early implementation of macro - policies such as the "two new" policies boosted confidence and supported copper prices [24]. - Glass futures turned from decline to rise, and the production and sales improved significantly after the festival. The futures market was mainly driven by the general rise of commodities. In the spot market, the trading was good this week, and the price trend increased. Before the New Year's Day holiday, the trading performance was weak. After the festival, boosted by macro - policies and the re - inflation trading in the futures market, the production and sales performance in many places improved significantly, and the industry's inventory pressure was relieved [24]. 3.4 Investment - related: At the Beginning of the Month, it was the Off - season, and Real Estate Sales Declined Slightly - Cement prices continued to decline. This week, the weekly average of the cement price index decreased by 0.62% week - on - week, and the decline continued to expand. The performance varied by region. In East China, the demand declined slightly due to the holiday and cooling, while in Central and South China and Northwest China, the construction demand of construction sites was released, and the increase in the concrete shipping volume boosted the cement price to maintain a slight increase [26]. - New home sales decreased month - on - month. From January 2nd to January 8th, the transaction area of new homes in 30 cities was 1.032 million square meters, a month - on - month decrease of 67% compared with the previous week (December 26th - January 1st). The decline slope was similar to that in the same period in 2025, and the year - on - year decrease for the single week was 3%. The transactions during the New Year's Day holiday maintained the characteristics of the traditional off - season [30]. - Second - hand home sales continued to decline. From last Friday to this Thursday, the transaction area of second - hand homes decreased by 7.7% month - on - month, and it decreased by 7.3% month - on - month last week (December 26th - January 1st), indicating a continuous cooling of transactions [30]. 3.5 Consumption: Passenger Car Retail Sales in December Decreased by 13% Year - on - year - In December, passenger car retail sales decreased by 13% year - on - year and increased by 3% month - on - month. According to the Passenger Car Association, the total retail sales of the passenger car market in December were 2.296 million vehicles, a year - on - year decrease of 13% and a month - on - month increase of 3%. Among them, the retail sales in the week from December 29th to 31st were 123,000 vehicles, a year - on - year increase of 17% and a month - on - month increase of 2%, highlighting the year - end sprint effect [31]. - The impact of geopolitics escalated, and crude oil prices rose more significantly. As of January 9th, compared with January 2nd, the prices of Brent crude oil and WTI crude oil increased by 4.2% and 3.1% respectively week - on - week, continuing to strengthen. The increasing uncertainty of the Russia - Ukraine geopolitical situation and the US military strike on Venezuela boosted oil prices [31].

www.hczq.com 证券研究报告 | 医药生物 | 2026年1月10日 华创医药投资观点&研究专题周周谈 · 第158期 海外脑机接口代表企业布局情况 本周专题联系人：李婵娟 陈俊威 华创医药团队： | 首席分析师 郑辰 | | | 执业编号：S0360520110002 | 邮箱：zhengchen@hcyjs.com | | --- | --- | --- | --- | --- | | 联席首席分析师 | | 刘浩 | 执业编号：S0360520120002 | 邮箱：liuhao@hcyjs.com | | 医疗器械组组长 | | 李婵娟 | 执业编号：S0360520110004 | 邮箱：lichanjuan@hcyjs.com | | 中药和流通组组长 | | 高初蕾 | 执业编号：S0360524070002 | 邮箱：gaochulei@hcyjs.com | | 分析师 | 王宏雨 | | 执业编号：S0360523080006 | 邮箱：wanghongyu@hcyjs.com | | 分析师 朱珂琛 | | | 执业编号：S0360524070007 | 邮箱：zhukeche ...

❖ 2025 年通胀回眸 1、CPI：全年同比上涨 0.8%，核心消费品、服务和生鲜价格共同改善。对 CPI 同比的拉动率自高到低排列依次是：核心消费品（0.63pct）＞生鲜（0.4pct） ＞服务（0.25pct）＞畜肉（-0.19pct）＞能源（-0.3pct）。 （1）核心消费品：金价贡献一半涨幅，促消费政策下家用器具、家庭日用杂 品价格逐步改善。 （2）服务：出行为主的服务消费场景对价格仍有支撑，旺季和淡季受价格脉 冲性的影响仍在放大。 （3）畜肉："规模化"养殖下生猪产能去化仍偏慢，终端需求疲软，价格缓慢 下行。 （4）生鲜：极端天气影响农产品生产储运，供给收紧推动价格上行。 证 券 研 究 报 告 【债券日报】 2025 年通胀回眸 ——12 月通胀数据解读 （5）能源：贸易摩擦导致需求偏弱，价格步入下降通道。 2、PPI：全年降幅收窄至-1.9%，反内卷政策后价格从上游到中下游逐步修复 7 月"反内卷"政策落地后：各分项对 CPI 同比的拉动率变动自高到低排列依 次是加工（0.73pct）＞原材料（0.58pct）＞采掘（0.38pct）＞一般日用品（0.04pct） ＞食品类（0.03pct ...

1. Report Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Viewpoints of the Report - In 2026, "Two Major" projects and "Two New" funds are being gradually allocated, with the scale of the first batch of "Two New" funds narrowing compared to 2025, and the government is promoting economic development through various policies [1][12]. - Fiscal policy maintains an active stance in 2026, ensuring necessary expenditure intensity and increasing the issuance scale of key - term treasury bonds [2]. - Monetary policy aims to achieve an "integrated effect" of incremental and existing policies, with the central bank net - buying treasury bonds and focusing on expanding domestic demand and technological innovation in 2026 [3]. - Financial regulatory authorities have issued formal regulations on fees, relaxed bank EVE indicators, and are exploring innovative financial products [4]. - Real estate policies aim to stabilize the market, with measures such as reducing VAT on second - hand housing transactions and optimizing purchase restrictions in Beijing [5]. 3. Summary by Directory 3.1 Macro - economic Tone - The dates for the 2026 National Two Sessions have been announced. The Fourth Session of the 14th National People's Congress will be held on March 5, 2026, and the Fourth Session of the 14th National Committee of the Chinese People's Political Consultative Conference will be held on March 4, 2026 [11]. - The first batch of 62.5 billion yuan in ultra - long - term special treasury bonds to support consumer goods replacement has been pre - allocated to local areas in 2026, with a smaller scale than in 2025. The policy focuses on optimizing fund allocation and advancing ahead of schedule [12]. - The National Development and Reform Commission has allocated a 295 - billion - yuan pre - approved project list for 2026, including about 220 billion yuan for "Two Major" construction projects and over 75 billion yuan for central budgetary investment [13]. 3.2 Fiscal Policy - In 2026, fiscal policy remains actively oriented, aiming to expand fiscal expenditure, optimize the combination of government bond tools, enhance transfer payment efficiency, and strengthen fiscal - financial coordination [17]. - Seven provinces have repaid 3.342 billion yuan of illegally added government implicit debts, nine regions' state - owned enterprises have returned 1.848 billion yuan of misappropriated agricultural loans, and two provinces and two regions have substantially resolved 170 million yuan of government debts [18]. - In January 2026, the issuance scale of key - term treasury bonds increased compared to the same period last year, with front - loaded policy implementation [19]. 3.3 Monetary Policy - The fourth - quarter monetary policy meeting proposed to achieve an "integrated effect" of incremental and existing policies, and the central bank will continue to deepen interest rate liberalization reform [22]. - The National Foreign Exchange Administration will deepen foreign exchange facilitation reforms and support financial institutions in developing simple and useful exchange - rate hedging products [23]. - In December 2025, the central bank net - bought 50 billion yuan of treasury bonds. Since October 2025, the central bank has restarted bond - buying operations, with purchase amounts of 20 billion yuan, 50 billion yuan, and 50 billion yuan in October, November, and December respectively [3]. - In 2026, monetary policy will focus on expanding domestic demand, technological innovation, and other fields, and its growth rate is expected to exceed that of the total social financing scale [25]. 3.4 Financial Supervision - The formal regulations on fund fees have been issued, and regulators are researching and exploring innovative products such as REITs ETFs [28]. - Regulatory authorities have revised the interest - rate shock amplitude parameters for banks [29]. - Regulators have consulted wealth - management companies on obstacles to A - share investment and policy expectations, and many banks have reduced wealth - management management fees to 0% [29]. - The regulatory authority has issued a notice on bond transaction record - keeping to strengthen supervision [30]. 3.5 Real Estate Policy - The government aims to stabilize the real estate market, control increments, reduce inventories, optimize supply, improve housing quality, and reduce VAT on second - hand housing transactions [33]. - Beijing has further optimized purchase - restriction policies, including relaxing requirements for non - Beijing households and supporting multi - child families [34]. - Vanke's proposal to extend the grace period for a 3.7 - billion - yuan bond was passed, but other extension proposals were not approved [34]. - An article in Qiushi magazine holds a positive view on future real estate policy space [35].

1. Report Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Viewpoints of the Report - Based on various fiscal announcements, the report calculates the supply of government bonds and ultra - long bonds in Q1 2026 and interprets the key points of market - concerned supply [8]. - It analyzes the characteristics of government bond issuance in Q1 2026, including the situation of treasury bonds, local bonds, and makes supply forecasts [1][3][9]. 3. Summary According to the Directory 3.1 Treasury Bonds: In Q1, the number of issuances changes little, the single - issue scale rises and then falls, and there is room for acceleration in the future 3.1.1 Q1 Treasury Bond Plan: The number of issuances changes little, and 30y bonds use new codes - The number of treasury bond issuances in Q1 2026 is similar to that in the same period of 2025, with the number of coupon - bearing treasury bonds and savings bonds of each term remaining the same as in Q1 2025, and an additional 3M discount treasury bond issued in March 2026. The 50 - year treasury bond is postponed from February to March [9]. - 30y treasury bonds will use new codes. After the announcement, 250002 performed weakly, and 2500006 may continue to be the active bond in the short term. There is a risk of failure in the coupon - bond replacement of 30y ordinary treasury bonds [10]. 3.1.2 Single - issue Scale of Key - term Treasury Bonds: It rises first and then falls, and there may still be room for acceleration in the future - In January 2026, the single - issue scale of 2 - year and 10 - year coupon - bearing treasury bonds increased significantly compared with the same period in 2025, which may be due to high maturity pressure, the need to form physical workloads earlier, and to make way for the issuance of special treasury bonds [15][16]. - The single - issue scale of 1 - year treasury bonds later decreased to 135 billion. If the issuance speed of 135 billion continues, the monthly average may be around 150 billion, which is in line with the neutral issuance speed under a 4% deficit rate. To catch up with the net financing progress in 2025 in Q1, the quarterly average single - issue scale of key - term treasury bonds needs to reach 170 billion, indicating room for acceleration [18][19]. - Treasury bonds can use the remaining quota for issuance expansion before the Two Sessions. The remaining quota at the beginning of 2026 is expected to be around 580 billion, providing room for expansion [23]. 3.1.3 The quota of ultra - long special treasury bonds is pre - allocated but issued later - No special treasury bonds are scheduled for issuance in Q1. Ultra - long special treasury bonds show the characteristic of "quota pre - allocation but issuance postponement". The "Two - New" quota in 2026 is pre - allocated in a reduced scale but earlier, while the "Two - Important" quota is pre - allocated in a larger scale but later [25][29][30]. 3.2 Local Bonds: In Q1, the issuance scale is similar to that in the same period of 2025, the rhythm is earlier, and the terms vary across regions 3.2.1 Q1 Local Bond Plan: The issuance scale is basically the same as that in Q1 2025, and the supply is more concentrated in January - The planned issuance scale of the regions that have released plans is close to that in the same period of 2025. Affected by the Spring Festival shift, the issuance in January 2026 increased significantly compared with the same period in 2025 [31][32]. 3.2.2 Terms: Different regions show differentiation, and term shortening is not yet a general phenomenon - Regions with significantly shortened terms include Guangxi and Zhejiang, which do not arrange the issuance of 30y varieties and increase 10 - 20y varieties [32]. - Regions with little change in terms include Beijing and Shandong. Beijing's new special bonds still cover the full range of 1 - 30y terms, and Shandong's weighted average term is similar to that in Q1 2025 [33]. - Regions with significantly extended terms include Qingdao, which added 30y varieties that were not issued in 2025 [33]. 3.3 Q1 Supply Forecast: It is expected that the net financing of government bonds will be 3.6 trillion, and the issuance of ultra - long bonds will be 1.3 - 1.65 trillion 3.3.1 Government Bond Supply Forecast: The Q1 net financing is 3.6 trillion, including 2.15 trillion local bonds and 1.46 trillion treasury bonds - Local bonds: The net financing in Q1 may be around 2.15 trillion, with January and March being the supply peaks. The net financing in January, February, and March is expected to be 830 billion, 490 billion, and 840 billion respectively [38]. - Treasury bonds: The net financing in Q1 may be around 1.46 trillion. The single - issue scale of key - term treasury bonds is assumed to be 135 billion for the remaining 3 issues in January, rising to 175 billion in February, and around 190 billion in March due to high maturity pressure [39]. 3.3.2 Ultra - long Bond Supply Forecast: The issuance in Q1 is 1.4 - 1.77 trillion, including 11.6 billion treasury bonds and 1.3 - 1.65 trillion local bonds - Ultra - long treasury bonds: The issuance in Q1 may be around 11.6 billion, with 32 billion, 32 billion, and 52 billion issued in January, February, and March respectively [42]. - Ultra - long local bonds: The issuance in Q1 may be 1.3 - 1.65 trillion, with different issuance scales calculated according to different reference term structures [43].

证 券 研 究 报 告 招商轮船（601872）2025 年业绩预告点评 推荐（维持） 公司研究 航运 2026 年 01 月 09 日 目标价：12.0 元 当前价：9.60 元 25 年归母净利预告中值 63 亿，同比+23%， 业绩创新高，继续看好油轮上行景气 ❖ 1、公司公告 2025 年业绩预增公告： 预计 2025 年实现归母净利 60~66 亿，同比+17%~29%，中值 63 亿，同比+23%； 扣非净利 50~56 亿，同比-0.2%~+12%，中值 53 亿，同比+6%；测算非经常性 损益 10 亿。 预计 25Q4 实现归母净利 27~33 亿，同比+55%~90%，中值 30 亿，同比+73%； 扣非净利 21~27 亿，同比+22~57%，中值 24 亿，同比+39%；测算非经常性损 益 6 亿。 我们继续看好此轮油运周期景气持续性，1）供给逻辑不变，截至 26 年 1 月 VLCC 在手订单占比为 17.2%，而 20 岁以上运力占比达 19%，15 岁以上运力 占比超 40%，环保政策趋严背景下老龄化因素对冲少量新船交付；2）被制裁 VLCC 运力占比已升至 16.57%，随着制 ...

Report Industry Investment Rating There is no information provided in the content about the report industry investment rating. Core Viewpoints of the Report The report analyzes the liquidity situation in December 2025 and makes a forecast for January 2026. In December, the central bank actively injected liquidity, and the funds across the year were stable. The monetary policy emphasizes cross - cycle balance and flexible and efficient use of reserve requirement ratio cuts and interest rate cuts. In January, the liquidity gap pressure is relatively large, and the potential disturbances on the bank's liability side may increase in the middle and late months, but the funds fluctuation may be relatively mild, and attention should be paid to the marginal changes in the bank's liability pressure after the increase in fiscal factor disturbances [1][3][4]. Summary According to the Directory 1. December 2025 Funds and Liquidity Review: Active Injection, Stable across the Year (1) Funds Review: Narrow - range Fluctuation Continued In December 2025, the overnight fluctuation range narrowed compared with the previous month, and the 7D funds fluctuation range widened. The overnight funds basically ran stably around 1.28%, and the 7D funds were stable around 1.45% from the beginning of the month to the 23rd, then rose continuously until reaching 1.9821% on the 31st. The overnight and 7D funds did not show an inversion. The funds were loose at the beginning of the month, the central bank carried out 100 billion yuan of 3M repurchase on the 5th, and 60 billion yuan of 6M repurchase in the middle of the month, continuing the "short - term contraction and long - term expansion" operation. At the end of the year, affected by seasonal factors, the 7D funds price fluctuated slightly. The funds across the year were relatively stable [11][12]. (2) Liquidity Review: The Central Bank Actively Injected in December, Continuing the "Short - term Contraction and Long - term Expansion" - **Liquidity Aggregate**: In December, the base money may have increased by 1.7 trillion yuan, with government deposits supplementing about 1 trillion yuan, the central bank's net injection totaling 752.8 billion yuan, and foreign exchange funds continuing to withdraw slightly by 7 billion yuan. After deducting the consumption of excess reserves, the excess reserves at the end of the month may have increased by about 1 trillion yuan, and the excess reserve ratio may be around 1.5%, at a seasonal level. The narrow - sense excess reserve level after deducting reverse repurchases may be around 0.8%, close to the seasonal level [36]. - **Open - market Operations**: In December, the central bank's open - market reverse repurchases slightly increased, with a net injection of 28.19 billion yuan. The MLF was injected with 40 billion yuan and 30 billion yuan matured, with a balance of 6.25 trillion yuan. The net injection of the outright reverse repurchase was 20 billion yuan, with a balance of 6.5 trillion yuan. The central bank also net - bought 5 billion yuan of national debt, carried out 26 billion yuan of treasury time deposits, and 15.94 billion yuan of PSL and other structural tools [46][51][54]. 2. December 2025 Monetary Policy Tracking: Focus on Cross - cycle Balance, Flexibly and Efficiently Use Reserve Requirement Ratio Cuts and Interest Rate Cuts In December 2025, important meetings emphasized "flexibly and efficiently using reserve requirement ratio cuts and interest rate cuts." The overall loosening may be relatively prudent, but the idea of liquidity protection continues. The central bank emphasizes cross - cycle balance to avoid large - scale policy expansion and contraction. The central economic work conference takes promoting stable economic growth and reasonable price recovery as important considerations. The fourth - quarter monetary policy meeting first proposed to "give play to the integrated effect of incremental and existing policies." In a neutral scenario next year, the policy interest rate is likely to be cut once, with a range of 10bp [3][57][63]. 3. January 2026 Gap Prediction: Disturbances May Increase in the Middle and Late Months (1) Rigid Gap: Reserve Requirement Slightly Consumes Excess Reserves, and MLF Maturities Decrease Marginally In January, the increase in general deposits may consume about 32.96 billion yuan of excess reserves. The MLF matures at 20 billion yuan, and the outright reverse repurchase matures at 1.7 trillion yuan (1.1 trillion yuan for 3M and 600 billion yuan for 6M), of which 1.1 trillion yuan of the 3M outright reverse repurchase was renewed on the 7th [69]. (2) Exogenous Shocks: Cash Withdrawal and Non - financial Institution Deposits Consume Liquidity at the End of the Year In January, cash withdrawal and non - financial institution deposits slightly consume excess reserves. Cash withdrawal may consume about 67.87 billion yuan of excess reserves, and non - financial institution deposits may consume about 16.36 billion yuan [71]. (3) Fiscal Factors: A Big Month for Taxation, Coupled with Government Bond Issuance, May Partially Consume Reserves In January, government bond issuance pressure increases. Considering factors such as payment and refund, taxation, and fiscal expenditure, government deposits may consume about 1.2 trillion yuan of liquidity [4][75][76]. (4) Comprehensive Judgment: Stable at the Beginning of the Month, Disturbances May Increase in the Middle and Late Months In January, the liquidity gap pressure is relatively large, but the bank's liquidity level at the beginning of the month may be relatively abundant. Affected by factors such as the maturity of high - interest deposits and the renewal of large - scale certificates of deposit, the potential disturbances on the bank's liability side may increase in the middle and late months. However, considering the current relatively low excess reserve level, the central bank has no intention of large - scale withdrawal, and the Spring Festival is later, so the funds fluctuation may be relatively mild. Attention should be paid to the marginal changes in the bank's liability pressure after the increase in fiscal factor disturbances [4][80].