【观察】在超大城市核心区治理的宏大叙事中，深圳福田CBD不仅是财富跃动的金融高地，更是基层 治理创新的"实验田"。从物理空间的摩天楼群到心理空间的归属纽带，福田街道通过党建引领，巧妙地 将政治功能与服务功能深度融合。12月25日，"哇噻CBD"项目荣获南都惠民善治传播创新案例，这不仅 是一次荣誉的加冕，更是对深圳以党建链串联产业链、服务链，探索商务区治理现代化路径的有力肯 定。 构筑商圈党校，打造党员教育新高地 为推动基层"两新"党组织和"三新"党员学习教育常态化、制度化和系统化，2021年3月，CBD商圈党委 创新成立全市首个商圈党校。福田街道CBD商圈党委下辖2个党总支、104个党支部，拥有近1900名"三 新"党员。商圈党校逐步打造出"五星风采"系列活动，涵盖主题党日活动、高质量发展党课、线上头雁 微党课、线下头雁研修班和CBD党员公益行，成功打破"三新"党员学习教育时空壁垒，实现基层党的理 论学习+党员教育+头雁培养一体化、专业化、系统化。截至目前，已累计开展线上、线下活动120余 场，参与人数超3.7万人次。同时，与辖区中国联合网络通信有限公司深圳市分公司、中国电信 （601728）股份有限公司深圳 ...

Group 1: Market Overview - The A-share market showed a strong upward trend last week, with major indices generally rising. The market style continued to favor resource products and technology growth, while consumer sectors experienced a pullback [1] - In terms of industry performance, sectors such as non-ferrous metals (precious metals + industrial resources), military industry (commercial aerospace), and power equipment (data center power) led the gains, while consumer, banking, and coal sectors turned downward [1] Group 2: Macroeconomic Analysis - The national fiscal work conference emphasized the continuation of a more proactive fiscal policy in 2026, focusing on expanding fiscal spending and ensuring necessary expenditure. Key tasks include boosting domestic demand, increasing investment in new productive forces, and promoting employment and income growth [2] - From January to November, the total profit of industrial enterprises above designated size reached 66,268.6 billion yuan, a year-on-year increase of 0.1%. The manufacturing sector's profit totaled 50,317.9 billion yuan, growing by 5.0%. Notable growth was seen in the computer, communication, and other electronic equipment manufacturing sectors, while the oil and gas extraction sector saw a decline of 13.6% [2] Group 3: International Economic Context - In the U.S., third-quarter economic data exceeded expectations, leading to a cooling of interest rate cut expectations. The GDP growth rate for Q3 was 4.3%, surpassing the expected 3.3% and the previous 3.8%. The resilience of the U.S. economy is attributed to strong personal consumption, increased public spending, and improved export contributions [3] - Structural weaknesses in the labor market and the upcoming Federal Reserve leadership change may influence future interest rate decisions [3] Group 4: Investment Strategy - The market is expected to take a significant step forward as the year ends, supported by factors such as a systemic decline in risk-free interest rates and an anticipated surge in asset management demand [4] - Capital market reforms are enhancing the investability of Chinese assets and improving market resilience to risks, suggesting a potential shift from a volatile market to a more stable one [4] Group 5: Investment Directions - The focus is on technology, financial services, and consumer sectors. Specific areas of interest include technology growth driven by advancements in AI and computing infrastructure, as well as financial sectors like brokerage and insurance benefiting from capital market reforms [5] - The domestic policy to expand internal demand is expected to strengthen, making it a key theme alongside technology. Emerging consumption trends and events like sports and winter tourism are highlighted as potential investment opportunities [5]

Macro Liquidity - The US dollar index has declined, and the degree of inversion in the China-US interest rate spread has narrowed. The nominal and real yields of 10-year US Treasuries have both decreased, indicating a drop in inflation expectations [2][14] - Offshore dollar liquidity has marginally eased, while the domestic interbank funding environment remains balanced. The yield spread between 10-year and 1-year government bonds continues to widen [2][19] Market Trading Activity - Overall market trading activity has increased, with many indices experiencing a rise in volatility. Sectors such as retail, military, consumer services, light industry, and textiles are seeing trading activity above the 80th percentile [3][25] - Most indices have shown increased volatility, with sectors like communication, electronics, electric new energy, and chemicals remaining above the 80th historical percentile [3][32] - Market liquidity indicators have declined, with liquidity metrics across sectors remaining below the 70th historical percentile [3][37] Sector Research Activity - Research activity is high in sectors such as electronics, pharmaceuticals, electric new energy, machinery, and non-ferrous metals. The research interest in automotive, computing, communication, and chemicals is also on the rise [4][43] Analyst Profit Forecasts - Analysts have raised profit forecasts for the entire A-share market for 2025 and 2026. The proportion of stocks with upward revisions in profit forecasts has increased across the board [4][51] - Specific sectors such as real estate, construction, coal, consumer services, and home appliances have also seen upward adjustments in profit forecasts for 2025 and 2026 [4][51] - The profit forecasts for the CSI 300 and SSE 50 indices for 2025 and 2026 have been revised upwards, while the profit forecasts for the CSI 500 have been adjusted downwards [4][51] Northbound Trading Activity - Northbound trading activity has decreased, continuing a net sell-off of A-shares. The ratio of buy-sell amounts in sectors like communication, non-ferrous metals, and consumer services has increased, while it has decreased in electronics, computing, and banking [5][29] - For stocks with holdings below 30 million shares, net buying has primarily occurred in computing, non-bank financials, and coal sectors, while net selling has been observed in communication, non-ferrous metals, and automotive sectors [5][31] Margin Financing Activity - Margin financing activity has rapidly increased, reaching the highest point since November 2025. The net buying has been concentrated in sectors like electronics, electric new energy, and communication, while net selling has occurred in non-bank financials, oil and petrochemicals, and retail sectors [6][35] - The proportion of financing purchases has increased in sectors such as consumer services, banking, and electric new energy [6][38] Fund Activity - The positions of actively managed equity funds have continued to rise, with significant net subscriptions in ETFs, particularly those related to institutional investors. Active equity funds have mainly increased their positions in non-ferrous metals, media, and consumer services, while reducing positions in communication, home appliances, and retail sectors [7][45] - The newly established equity fund scale has increased, with active funds seeing a rise while passive funds have decreased. ETFs related to the CSI A500 index have been primarily net purchased, while sectors like military, electronics, and agriculture have seen net selling [7][52]

Core Viewpoint - The company Mengsheng Electronics (688311.SH) has signed a strategic cooperation agreement with Sichuan Energy Investment Development Co., Ltd. to enhance collaboration in the power industry, focusing on technological innovation and business synergy in areas such as power communication, IoT, and data intelligence [1] Group 1 - The strategic cooperation agreement was signed on December 29, 2025 [1] - The collaboration aims to leverage both parties' resource advantages [1] - The principles of the agreement include voluntary participation, fairness, cooperation, innovation, and mutual benefit [1]

Market Performance Review - In December, all major stock indices rose, with the Shanghai Composite Index increasing by 1.93%, the Shenzhen Component Index by 4.77%, and the ChiNext Index by 6.27% as of December 26 [4][13] - The performance varied by style, with stable style down by 0.16%, financial style up by 2.21%, consumption style down by 0.75%, cyclical style up by 5.57%, and growth style up by 5.14% [4][13] - The large-cap index rose by 2.62%, mid-cap index by 5.90%, and small-cap index by 4.47% [4][13] - The market experienced a rebound in the fourth week of December, driven by the appreciation of the RMB and significant net inflows into the A500 ETF [4][13] Industry Insights - The leading sectors in December included defense and military (up 13.75%), communication (up 13.66%), and non-bank financials (up 8.30%), while the weakest sectors were media (down 3.96%) and real estate (down 3.30%) [18] - The focus on themes and events drove the market, with commercial aerospace and Hainan Free Trade Zone being the most prominent themes in December [18] Future Market Outlook - The A-share market in January is expected to face both challenges and opportunities, with attention needed on industry and individual stocks [5][33] - The potential for overseas disturbances, particularly regarding the Federal Reserve's interest rate decisions, could impact market volatility [5][33] - Despite the lack of strong domestic stimulus policies and economic data, there are still strong themes and sectors that can perform well [5][33] Investment Strategy - The report suggests focusing on thematic investments, particularly in commercial aerospace, non-ferrous metals, and consumer sectors [6][33] - The establishment of a commercial aerospace department and the release of a development action plan for commercial aerospace are seen as positive indicators for investment in this sector [6][33] - The report highlights the potential for a continued rally in the non-ferrous sector, particularly gold, driven by rigid demand and upcoming U.S. Treasury bond supply peaks [6][33]

Executive Changes - Honor's CMO Guo Rui has left the company after serving as the brand marketing president since August 2021 [2] - Xiaomi announced personnel adjustments in its China region, appointing Wang Xiaoyan as the general manager of Sales Operation Department One and making several other managerial changes [3] - Zhang Yutong, co-founder of Moonlight, has been appointed as the president, responsible for the company's strategy and commercialization [4] - Wang Xiaogang from SenseTime has been appointed as the chairman of Daxiao Robotics [5][7] - NetEase's executive vice president Ding Yingfeng has decided to retire, effective December 31, 2025 [8] - China Mobile's chairman Yang Jie has resigned due to age, with Chen Zhongyue appointed as the new chairman [9] Global Leadership Changes - Lou Gerstner, former CEO of IBM, has passed away at the age of 83, known for transforming IBM's focus from hardware to services [12] - Apple is restructuring its AI department, with the retirement of its AI chief John Giannandrea and the hiring of Amar Subramanya from Microsoft [14] - Apple has announced several executive changes, including Jennifer Newstead as the new general counsel starting March 1, 2026 [15] - Samsung Electronics has appointed Lee Kang-soo as the first head of its newly established AI research institute [16] - Groq's founders and executives are joining NVIDIA to enhance their licensing technology [18] - OpenAI has appointed Denise Dresser as Chief Revenue Officer and Albert Lee as Vice President of Corporate Development [19][20] - OpenAI has appointed former UK Chancellor George Osborne to lead the "OpenAI for Countries" initiative [21] - Amazon is restructuring its general AI department following the departure of executive Rohit Prasad [22] - Meta has appointed Aman Jain as the new public policy head for India [23] - Intel has appointed Robin Colwell as the head of government affairs [24] - GlobalFoundries has appointed Sam Franklin as the new Chief Financial Officer [25] - Coupang's chairman Park Dae-jun has resigned due to a major data breach incident [26] - DXC Technology has appointed Russell Jukes as Chief Digital Information Officer [27][30]

Group 1 - The core viewpoint is that 6G will represent a fundamental shift from traditional communication capabilities to an "AI-native" intelligent network paradigm, transforming communication networks from "connection pipelines" to "intelligent service platforms" [1] - The three main lines of 6G development are AI native, integrated sensing, and green intelligence, which will support vertical scenarios such as industrial internet and intelligent transportation through the deep integration of emerging capabilities like AI and sensing [1] - China has shifted from "catching up" to "running alongside" and even "leading" in certain areas of 6G layout, with the next 3-5 years being a critical window for technology shaping and ecosystem building [1] Group 2 - The ChiNext AI ETF Guotai (159388) tracks the ChiNext AI Index (970070), which has a daily fluctuation of 20%, and selects listed companies involved in AI technology and related applications from the ChiNext market [1] - The index covers multiple segments from hardware manufacturing to software development, reflecting the overall performance of AI-related listed companies in the ChiNext market, characterized by significant technological innovation and growth potential [1]

Group 1 - The article highlights that 39 out of 360 industry/theme ETFs reached new highs in December, with established sectors like telecommunications and non-ferrous metals reflecting North American AI infrastructure and resource logic, while new sectors like commercial aerospace ETFs are gaining attention during market fluctuations [2] - The focus on sectors such as chemicals and engineering machinery indicates a shift in China's manufacturing competitiveness towards pricing power, while sectors related to anti-involution, like new energy and steel, are also showing signs of recovery [2] - The investment strategy suggests a preference for sectors with low heat and concentration but potential for long-term ROE improvement, such as chemicals, engineering machinery, and new energy, alongside a keen observation of the trend of RMB appreciation [3] Group 2 - The article discusses the favorable conditions for the spring market rally, emphasizing liquidity-driven characteristics in the A-share market, with expectations for a surge in the CSI A500 ETF towards year-end [3] - It notes that the spring market is supported by loose liquidity, with private equity making concentrated purchases and the RMB's appreciation benefiting market liquidity [3] - The potential for a spring rally is further supported by upcoming events like the Spring Festival and the Two Sessions, which may enhance risk appetite [3] Group 3 - The article indicates that the RMB's appreciation post "breaking 7" is expected to have a positive impact on both the currency and capital markets, with a potential for a spring rally [4][5] - It outlines four key logic points regarding the impact of RMB appreciation on industry allocation, including benefits for industries with high import reliance, those with significant foreign currency liabilities, and domestic demand-driven sectors [5] - The article suggests that the current market conditions do not show clear signs of a bull market peak, with internal policies remaining supportive and external risks easing [6] Group 4 - The article identifies new investment themes emerging in the commodity market and real industry chains, highlighting the increasing consumption of physical goods in manufacturing sectors and the strengthening of China's manufacturing advantages [7] - It recommends focusing on industrial resource products that resonate with AI investment and global manufacturing recovery, as well as sectors like equipment exports and domestic manufacturing recovery [7] - The article emphasizes the importance of capital market expansion and the potential for non-bank financial sectors to benefit from improving asset returns [7] Group 5 - The article states that the A-share market's cross-year rally has begun, driven by positive signals from the Shanghai Composite Index and optimistic institutional investor expectations [8] - It highlights the importance of sectors like non-ferrous metals and AI computing, with commercial aerospace being a primary market focus [8] - The article suggests that the spring market may see a structural and rapid rotation of sectors, with a recommendation for investors to adopt a low-buying strategy [12]

Quantitative Models and Construction Methods 1. Model Name: Rotation Model - **Model Construction Idea**: The model is based on the relative performance of micro-cap stocks and "Mao Index" (a large-cap index), using rolling slopes and relative net values to determine rotation signals[19][24] - **Model Construction Process**: 1. Calculate the relative net value of micro-cap stocks to the Mao Index. If the relative net value is above its 243-day moving average, the model prefers micro-cap stocks; otherwise, it prefers the Mao Index[19][24] 2. Compute the 20-day closing price slopes for both micro-cap stocks and the Mao Index. If the slopes diverge and one is positive, the model selects the index with the positive slope to adapt to potential style shifts[19][24] 3. Timing indicators include the 10-year government bond yield (threshold: 0.3) and micro-cap stock volatility crowding (threshold: 0.55). If either indicator hits the threshold, a closing signal is triggered[19][24] - **Model Evaluation**: The model effectively captures style rotation signals and provides a systematic approach to manage risk and optimize returns[19][24] 2. Model Name: Macro Timing Model - **Model Construction Idea**: This model integrates macroeconomic growth and monetary liquidity signals to determine equity allocation levels[44][45] - **Model Construction Process**: 1. Assign signal strengths to economic growth and monetary liquidity dimensions. For December, the signal strengths were 50% and 60%, respectively[45] 2. Combine these signals to recommend an equity allocation level. For December, the recommended equity allocation was 55%[45] 3. The model's performance is tracked, with a year-to-date return of 13.57% compared to a 25.65% return for the Wind All-A Index[44] - **Model Evaluation**: The model provides a balanced approach to equity allocation, leveraging macroeconomic indicators to guide investment decisions[44][45] --- Model Backtesting Results 1. Rotation Model - **Relative Net Value**: Micro-cap stocks to Mao Index relative net value was 2.06, above the 243-day moving average of 1.80[19] - **20-Day Slope**: Micro-cap stocks' 20-day slope was -0.15%, while the Mao Index's slope was 0.00%[19] - **Risk Indicators**: Volatility crowding was -17.17%, below the 55% risk threshold; 10-year government bond yield was 7.32%, below the 30% risk threshold[19] 2. Macro Timing Model - **Economic Growth Signal**: 50%[45] - **Monetary Liquidity Signal**: 60%[45] - **Equity Allocation**: 55%[45] - **Year-to-Date Return**: 13.57% (compared to Wind All-A Index's 25.65%)[44] --- Quantitative Factors and Construction Methods 1. Factor Name: Growth Factor - **Factor Construction Idea**: Measures the growth potential of companies based on financial metrics like net income and operating income growth[58][59] - **Factor Construction Process**: 1. Use single-quarter net income year-over-year growth (NetIncome_SQ_Chg1Y) and single-quarter operating income year-over-year growth (OperatingIncome_SQ_Chg1Y) as key metrics[59] 2. Combine these metrics to rank stocks and construct the factor[59] - **Factor Evaluation**: Demonstrated strong performance with an IC mean of 10.62% across all A-shares[48] 2. Factor Name: Consensus Expectation Factor - **Factor Construction Idea**: Captures market sentiment and expectations based on analysts' forecasts[58][59] - **Factor Construction Process**: 1. Use metrics like expected ROE changes over the past three months (ROE_FTTM_Chg3M) and target return over 180 days (TargetReturn_180D)[59] 2. Rank stocks based on these metrics to construct the factor[59] - **Factor Evaluation**: Performed well with an IC mean of 9.57% across all A-shares[48] 3. Factor Name: Volatility Factor - **Factor Construction Idea**: Measures stock price stability and risk using historical price and volume data[58][59] - **Factor Construction Process**: 1. Use metrics like 60-day return volatility (Volatility_60D) and CAPM residual volatility (IV_CAPM)[59] 2. Rank stocks inversely based on these metrics to construct the factor[59] - **Factor Evaluation**: Underperformed with an IC mean of -20.21% across all A-shares[48] --- Factor Backtesting Results 1. Growth Factor - **IC Mean**: 10.62% (all A-shares)[48] - **Multi-Long-Short Portfolio Return**: 20.54% (all A-shares, year-to-date)[49] 2. Consensus Expectation Factor - **IC Mean**: 9.57% (all A-shares)[48] - **Multi-Long-Short Portfolio Return**: 15.95% (all A-shares, year-to-date)[49] 3. Volatility Factor - **IC Mean**: -20.21% (all A-shares)[48] - **Multi-Long-Short Portfolio Return**: -2.96% (all A-shares, year-to-date)[49]

Global Market Overview - The Hang Seng Index closed at 25,819, showing a year-to-date increase of 28.71% [1] - The Shanghai Composite Index rose by 0.10% to 3,964, with a year-to-date increase of 18.26% [1] - The US Dow Jones Index decreased by 0.04% to 48,711, with a year-to-date increase of 14.49% [1] - The Nikkei 225 in Japan increased by 0.68% to 50,750, with a year-to-date increase of 27.21% [1] Sector Performance in Hong Kong - The Hang Seng Financial Index remained unchanged at 49,269, with a year-to-date increase of 40.22% [2] - The Hang Seng Real Estate Index also remained unchanged at 17,887, with a year-to-date increase of 19.94% [2] - The Hang Seng Industrial Index stayed at 13,971, reflecting a year-to-date increase of 24.19% [2] Recent Market Trends - A-shares rose last Friday, led by non-ferrous metals, electric equipment, and steel, while electronics, light manufacturing, and communications lagged [3] - The USD/CNY exchange rate fell below 7.0, with expectations of further decline to 6.95 in the first half of next year [3] - The Chinese Ministry of Finance plans to implement more proactive fiscal policies in 2026 to support consumer spending [3] - The Bank of Japan's December meeting minutes indicated a need for gradual interest rate hikes to avoid falling behind inflation [3] US Market Insights - US stocks experienced low trading volume post-Christmas, with materials, information technology, and healthcare sectors rising, while consumer discretionary, energy, and financial sectors fell [3] - Gold and silver prices surged significantly, influenced by margin requirement adjustments for futures contracts [3] - Cryptocurrency markets saw a decline as US investors sold off to offset tax liabilities from stock gains [3]