Market News - China's November economic data is set to be released on December 15, with industrial production expected to slightly rebound to around 5.0% year-on-year, while fixed asset investment is projected to narrow to -1.2% [2] - The U.S. non-farm payroll report for November, delayed until December 16, is anticipated to be a market focus, with private sector employment unexpectedly decreasing by 32,000, the lowest since March 2023 [3] - Major indices such as the Shenzhen Component Index and ChiNext Index will undergo sample adjustments effective December 15, with significant changes in constituent stocks [4] - The European Central Bank will announce its interest rate decision on December 18, with indications that borrowing costs are currently at an appropriate level [5] - The Bank of Japan is expected to raise interest rates from 0.5% to 0.75% on December 19, with a high probability of 89% for this adjustment [6] Sector Updates - The lithium iron phosphate industry is experiencing a wave of price increases, with leading manufacturers issuing clear price hike notices to customers [8] - China's total box office for 2025 has surpassed 50 billion yuan, with domestic films accounting for nearly 82% of the total [9] - A new action plan for enhancing elderly care services has been released, aiming to expand resources and improve service systems by 2027 [10] - The photovoltaic industry is implementing a dual-track model for the integration and acquisition of polysilicon production capacity, addressing issues of excessive competition [11] Company News - Yipinhong announced that its associate company Arthrosi is set to be acquired by Sobi for $950 million upfront and up to $550 million in milestone payments [13] - Shanghai Airport reported a 15.47% year-on-year increase in passenger throughput at Pudong International Airport for November [14] - Jiuan Medical's U.S. subsidiary received FDA pre-market notification for its four-in-one and three-in-one testing products [15] - Saiyi Information has been awarded a major national science and technology project to develop intelligent scheduling software [17] Lock-up Expiration - A total of 25 companies will have lock-up shares released this week, amounting to 714 million shares with a total market value of 13.032 billion yuan [19] - The peak lock-up expiration date is December 16, with four companies accounting for 51.73% of the total market value released [19] New Stock Calendar - Five new stocks are set to be offered this week, including two from the Shenzhen main board and two from the Shanghai STAR Market [23] Institutional Outlook - CITIC Securities emphasizes the importance of balancing domestic and foreign demand in investment strategies, noting that expectations for external demand are high while internal demand shows potential for improvement [26] - Everbright Securities highlights the need to monitor policy implementation and overseas liquidity changes as key variables affecting A-share market trends [27] - Tianfeng Securities suggests that the market may be preparing for a new trading pulse before March, driven by recent economic indicators [29]

中信证券：内外兼顾，寻求交集 从此次中央经济工作会议内容来看，做大内循环仍是重心，定位和去年相似。但对于股票市场而言，内需品种 和外需品种的预期和定价与去年存在巨大差异：去年底，投资者对外需普遍谨慎，对内需充满期待，但最终外 需的表现大超预期；今年是重仓布局外需敞口品种，预期相对充分，但对内需品种欠缺信心。实际上，明年外 需继续超预期的难度在加大，但内需可期待的因素在增多。 从这些角度来看，海外敞口品种业绩兑现力强，但估值继续提升难度大；内需敞口品种景气度一般，但一旦超 预期修复，估值弹性不小。配置上要寻求交集，即海外敞口为基底、内需积极变化也会产生催化的品种。 国泰海通：当下是布局春季行情的重要窗口 对于后市，我们比市场共识更乐观：部分投资者以政策表述从"超常规"到"跨周期"解读政策不积极，但这存在 谬误，2025年超常规是相较于2024年尾部风险暴露而言。面向2026年，中央经济工作会议明确"巩固拓展经济 稳中向好势头"，并要求财政政策"更加积极"与"内需主导"，首次提出"推动投资止跌回稳"，并时隔十年重提 房地产"去库存"；中财办副主任韩文秀表示将根据形势变化出台实施增量政策，继续实施"国补"与靠前实 ...

【大河财立方消息】2025年A股已进入收官倒计时，步入年末，市场正处于全年业绩兑现与2026年开局 衔接的关键节点。来年如何布局？跨年行情怎么看？大河财立方记者梳理了6家券商最新解读。 中信建投：跨年行情蓄势待发 中信建投分析师夏凡捷、何盛发表研报认为，从9月初至12月初，AH两地市场经历了较长时间的调整， 投资者情绪趋于谨慎，而近期，多项关键事件与数据相继公布，整体基调符合或略好于市场预期。 中信建投认为，牛市底层逻辑仍在，主要由结构性行情和资本市场改革政策推动。目前市场已经基本完 成调整，叠加基金排名基本落地，跨年有望迎来新一波行情。 中期行业配置方面，中信建投建议重点关注具有一定景气催化的有色金属和AI算力，主题上以商业航 天为主，可控核聚变和人形机器人为辅；港股也具有投资机会，潜在热点板块主要有互联网巨头、创新 药。重点关注：有色、商业航天、AI、人形机器人、可控核聚变、创新药、非银金融等。 中信证券：内外兼顾，寻求交集 中信证券裘翔、刘春彤等人发表研报认为，从此次中央经济工作会议内容来看，做大内循环仍是重心， 定位和去年相似。 研报中提到，但对于股票市场而言，内需品种和外需品种的预期和定价与去年存在 ...

2025 年 12 月 14 日 行业研究 从银行视角看经济工作会议 ——2025 年中央经济工作会议精神解读 银行业 买入（维持） 作者 分析师：王一峰 执业证书编号：S0930519050002 010-57378038 wangyf@ebscn.com 分析师：董文欣 执业证书编号：S0930521090001 010-57378035 dongwx@ebscn.com 分析师：赵晨阳 执业证书编号：S0930524070005 010-57378030 zhaochenyang@ebscn.com 一是数量工具层面，央行或继续通过逆回购、买断式、MLF、国债买卖、降准等 多重渠道"花样放水"。现阶段央行流动性投放渠道丰富，逆回购、买断式、MLF、 国债买卖等工具涵盖多种期限与操作频次，对银行体系流动性"补水"并不局限 于降准一种方式。截至 12 月 12 日，包含逆回购、买断式、MLF、国债买卖等工 具在内的广义公开市场操作存量约 14 万亿。鉴于央行保持其"贷方地位"以维系 结构性流动性短缺框架有效性，综合考虑流动性投放的滚动频度、融资成本、基 础货币吞吐强度等因素，预计 2026 年需要央行通过二 ...

Core Insights - The core viewpoint of the articles emphasizes the transformative role of AI in enhancing inclusive finance, particularly for small and micro enterprises in China, with a significant increase in loan balances and a shift in focus from availability to quality of financial services [1][10]. Group 1: Growth of Inclusive Finance - The balance of inclusive loans for small and micro enterprises in China surged from 8.8 trillion yuan at the end of 2017 to over 33 trillion yuan by the end of 2024, achieving a compound annual growth rate of 20.7% [1]. - By the third quarter of 2025, the balance of inclusive loans for small and micro enterprises reached 36.5 trillion yuan, reflecting a year-on-year growth of 12.1% [10]. Group 2: AI Integration in Financial Services - Since 2025, generative AI technologies have evolved from automation tools to business partners, leading to systematic and large-scale applications in the financial sector [5]. - AI applications in finance have expanded from isolated attempts to comprehensive solutions, enhancing efficiency in credit approval, fraud detection, and investment research [5][6]. - Financial institutions are increasingly deploying AI-driven tools, such as intelligent investment advisors and credit experts, to automate processes and improve service delivery [6][7]. Group 3: Challenges in Trust, Cost, and Compliance - The development of inclusive finance has transitioned through stages of accessibility, convenience, and precision, highlighting the importance of trust and cost management in AI applications [7]. - Trust issues arise from the reliance on alternative data for risk assessment, as traditional methods may not apply to underserved populations lacking collateral and credit history [8]. - The costs associated with AI implementation, including model training and compliance verification, pose significant challenges for financial institutions [8]. Group 4: Innovations and Solutions - Financial institutions are collaborating to address challenges in inclusive finance through technological innovation and industry partnerships, focusing on AI applications in underserved markets [9]. - AI technologies are evolving towards lighter and more precise models to reduce costs and improve accessibility for inclusive finance [9]. - Regulatory frameworks, such as the financial technology "regulatory sandbox," are being developed to facilitate the safe and effective application of AI in finance [10].

Core Insights - The core viewpoint of the articles emphasizes the transformative role of AI in enhancing inclusive finance, particularly for small and micro enterprises in China, with a significant increase in loan balances and a shift in focus from availability to quality of financial services [1][10]. Group 1: Growth of Inclusive Finance - The balance of inclusive loans for small and micro enterprises in China surged from 8.8 trillion yuan at the end of 2017 to over 33 trillion yuan by the end of 2024, achieving a compound annual growth rate of 20.7% [1]. - By the third quarter of 2025, the balance of inclusive loans for small and micro enterprises reached 36.5 trillion yuan, reflecting a year-on-year growth of 12.1% [10]. Group 2: AI Integration in Financial Services - Since 2025, generative AI technologies have evolved from automation tools to business partners, leading to systematic and large-scale applications in the financial sector [5]. - AI applications in finance have expanded from isolated attempts to comprehensive solutions, enhancing efficiency in credit approval, fraud detection, and investment research [5][6]. Group 3: Challenges in Trust, Cost, and Compliance - The development of inclusive finance has transitioned through three stages: availability, convenience, and precision, highlighting the shift in financial service demands from "whether" to "how good" [7]. - Trust issues arise as traditional risk assessment methods struggle with the unique characteristics of the inclusive customer base, leading to reliance on alternative data and concerns over algorithmic fairness [7][8]. - The costs associated with AI implementation, including model training and compliance verification, pose significant challenges for financial institutions, potentially eroding profits [8]. Group 4: Innovations and Solutions - Financial institutions are increasingly collaborating to address the challenges in inclusive finance, focusing on technology innovation and industry cooperation [9]. - AI technologies are evolving towards lighter and more precise models to reduce dependency on large datasets and lower implementation costs [9]. - Customized AI applications are being developed to cater to specific scenarios, such as the "data credit" model in rural finance, which replaces traditional collateral methods [9]. Group 5: Future Trends and Regulatory Framework - The gradual improvement of regulatory frameworks is establishing a risk baseline for the large-scale application of AI in finance, with initiatives like regulatory sandboxes allowing for innovation while managing risks [9]. - The integration of AI in inclusive finance is expected to enhance productivity, improve service quality, and lead to ongoing advancements in technology regulation [10].

Core Viewpoint - The article discusses the weak credit expansion in November 2025, highlighting insufficient demand and a significant increase in short-term loans and bills, while long-term loans remain sluggish [4][5][6]. Group 1: Credit Expansion and Loan Data - In November, new RMB loans totaled 390 billion, a year-on-year decrease of 190 billion, falling short of the expected 504.3 billion [4]. - The total new RMB loans from January to November reached 15.4 trillion, a year-on-year decrease of 1.7 trillion, indicating a low credit issuance environment in the second half of the year [4]. - The annual loan issuance is projected to be around 16 trillion, with a year-on-year decrease of approximately 2 trillion, leading to an expected year-end loan growth rate of about 6.3% [4]. Group 2: Corporate Loans and Short-term Financing - New corporate loans in November amounted to 610 billion, a year-on-year increase of 360 billion, with short-term loans and bills contributing significantly [5][6]. - Bills accounted for over 70% of new corporate loans, while short-term loans saw a substantial increase, totaling 4.4 trillion from January to November, significantly higher than the five-year average [6]. - Long-term loans showed a decrease, with a total of 8.5 trillion added from January to November, down 1.6 trillion year-on-year [6]. Group 3: Household Loans and Consumer Activity - In November, household loans decreased by 206.3 billion, continuing the negative trend from October, with total household loans from January to November at 533.3 billion, down 1.8 trillion year-on-year [7]. - The decline in household loans is attributed to weak employment and income conditions, leading to reduced willingness to purchase homes and consume [7]. Group 4: Social Financing and Monetary Indicators - New social financing in November reached 2.5 trillion, with a year-on-year increase of 159.7 billion, maintaining an 8.5% growth rate [8]. - M2 growth remained stable at 8%, while M1 growth decreased to 4.9%, indicating a widening gap between M2 and M1 growth rates [9].

Market Overview - The secondary market for publicly listed REITs in China experienced a downward trend, with the weighted REITs index closing at 180.06 and a weekly return of -0.23% [3] - Compared to other major asset classes, the return rates ranked from highest to lowest are: Gold > A-shares > Pure Bonds > REITs > Convertible Bonds > US Stocks > Crude Oil [3] - There was a divergence in price movements between property-type REITs, which saw an increase, and concession-type REITs, which experienced a decline [3] - Municipal facility REITs had the highest increase in returns, with the top three asset types being municipal facilities, water conservancy facilities, and new infrastructure [3] Individual REIT Performance - A total of 34 REITs increased in value, 2 remained stable, and 41 decreased in value during the week [3] - The top three REITs by increase in value were Huatai Nanjing Jianye REIT, CICC Chongqing Liangjiang REIT, and GF Chengdu Gaotou Industrial Park REIT [3] - The total trading volume for public REITs was 2.15 billion yuan, with new infrastructure REITs leading in average daily turnover rate at 0.45% [3] Trading Activity - The top three REITs by trading volume were Huaxia China Communications Construction REIT, CICC ProLogis REIT, and Harvest JD Warehouse Infrastructure REIT [4] - The total net inflow for the week was 3.06 million yuan, indicating a decrease in market trading enthusiasm compared to the previous week [4] - The top three REITs by net inflow were new infrastructure, transportation infrastructure, and warehousing logistics [4] Bulk Trading - The total amount of bulk trading reached 23.5 million yuan, showing a decline from the previous week [4] - There were three trading days with bulk transactions, with the highest single-day transaction occurring on December 8, 2025, at 9.99 million yuan [4] - The top three REITs by bulk trading volume were GF Chengdu Gaotou Industrial Park REIT, Huaxia Huaren Commercial REIT, and Southern SF Logistics REIT [4] Primary Market - No new REIT products were listed during the week [5] - The project status of two REIT products was updated [5]

2025 年 12 月 13 日 行业研究 信贷投放较早呈现年末收官特征 ——2025 年 11 月份金融数据点评 银行业 买入（维持） 作者 分析师：王一峰 执业证书编号：S0930519050002 010-57378038 wangyf@ebscn.com 分析师：赵晨阳 执业证书编号：S0930524070005 010-57378030 zhaochenyang@ebscn.com 行业与沪深 300 指数对比图 资料来源：Wind 相关研报 贷款增长再现"小月"，社融与货币降速——2025 年 10 月份金融数据点评 贷款熨平波动，货币持续活化——2025 年 9 月份 金融数据点评 社融遇拐点，货币见活化——2025 年 8 月份金融 数据点评 信贷扩张季节性回落，存款资金入市节奏提速 —— 2025 年 7 月份金融数据点评 信用活动季节性走强——2025 年 6 月份金融数据 点评 信用扩张走向量价平衡——2025 年 5 月份金融数 据点评 如何看待 4 月社融与信贷"大劈叉"？——2025 年 4 月份金融数据点评 贷款投放超预期，关注需求修复持续性——2025 年 3 月份金融数据点评 ...

Financial Data Overview - The central economic work conference in December 2024 proposed aligning social financing scale and money supply growth with economic growth and price level expectations for 2025, targeting a GDP growth of around 5% and a CPI increase of about 2% [4] - As of November 2025, social financing and M2 growth rates were 8.5% and 8% respectively, exceeding the targets and indicating effective financial support for the real economy [4] - The growth rates of social financing and M2 in November 2025 increased by 0.7 and 0.9 percentage points compared to the previous year, reflecting a moderately loose monetary policy [4] Shift in Focus - The emphasis on quantitative targets is gradually diminishing, which is seen as a significant step towards establishing a scientific and robust monetary policy system [5] Analytical Approach - Investors are advised to adopt a "look down, look all, look clear" approach when analyzing financial aggregate data [6] - **Look Down**: The relationship between financial aggregate indicators and economic growth is changing, and a decline in financial resource increments is normal due to structural economic transformation [6] - **Look All**: While RMB loan increments are a good measure of financial support for the real economy, it is important to recognize that banks support the economy through various means beyond loans, including entrusted loans and investments in credit bonds by securities companies [6] - **Look Clear**: Analysis should consider not only the apparent data but also the underlying logic behind data changes, such as base effects and seasonal effects [7]