Group 1: Macro Economic Overview - The bond market shows a slight increase in long-term interest rates, but the overall weakness remains unchanged. The possibility of a significant decline in the bond market is increasing, and short positions can be re-established under risk control [4][17]. - The A-share market is experiencing a rebound, with the Shanghai Composite Index showing signs of strength in previously underperforming sectors such as technology and entrepreneurship. The report anticipates a broad market rally as the year-end approaches, with technology expected to yield excess returns [5][20]. - The US stock market is experiencing light trading post-Christmas, with major indices showing volatility. The report notes a shift in momentum for previously weak stocks like Oracle and Nvidia, indicating a potential upward trend in risk assets [6][26]. Group 2: Sector Analysis - In the A-share market, sectors such as robotics and chemicals are gaining momentum, while traditional sectors like insurance and banking are expected to stabilize and continue their upward trend. The consumer sector is anticipated to become a new target for recovery as policy support deepens [5][20]. - The commodity market is showing an upward trend, with the Wenhua Commodity Index rising by 0.65%. The report maintains that the upward momentum for precious metals, non-ferrous metals, and new energy sectors remains intact, although high volatility may affect short-term trading strategies [7][31]. - The foreign exchange market indicates a significant appreciation of the RMB against the USD, with the onshore RMB reported at 6.9912. This aligns with expectations of a controlled appreciation trend under central bank guidance [6][29]. Group 3: Policy and Regulatory Developments - Domestic policies include a new tax regulation on personal housing sales, where properties sold within two years will incur a 3% tax, while those sold after two years will be exempt. This policy is set to take effect on January 1, 2026 [9][37]. - The government has announced the early issuance of 625 billion yuan in special long-term bonds to support consumer goods replacement programs, indicating a proactive approach to stimulate consumption [9][37]. - The automotive industry is set to benefit from a push for the large-scale application of intelligent robotics in manufacturing processes, which is expected to enhance productivity and innovation within the sector [9][38].

1. Report Industry Investment Rating No relevant information provided. 2. Core Viewpoints of the Report - This week, the public - offering REITs market rose slightly, with an increase in trading volume. The indices of property - type and franchise - type public - offering REITs both increased. Most public - offering REIT products rose this week [2][5][11]. - As of December 26, 2025, a total of 79 public - offering REITs have been issued, with a total issuance scale of 203.374 billion yuan. 20 public - offering REITs have been issued since 2025, and there are 28 public - offering REIT funds waiting to be listed, which is expected to expand the market [32][34][42]. - In the context of the asset shortage, public - offering REITs have the advantages of high dividends and medium - low risks, with a relatively high allocation cost - performance [5][42]. 3. Summary According to the Directory 3.1 Secondary Market: Public - Offering REITs Market Rose Slightly This Week - Index performance: As of December 26, 2025, the CSI REITs index rose 1.39% to 783.86 compared with last week, and the CSI REITs total return index was 1014.80, up 1.56% from last week [11]. - Trading volume: The total trading volume of the REITs market this week was 711 million units, a week - on - week increase of 36.47%. The trading amount was 3.135 billion yuan, a week - on - week increase of 36.19%. The interval turnover rate this week was 2.62%, compared with 1.95% last week [13]. - Sub - index performance: The indices of property - type and franchise - type public - offering REITs both rose, increasing by 1.63% and 3.23% respectively. Among property - type REITs, the sub - types such as affordable rental housing, warehousing and logistics all rose; among franchise - type REITs, municipal facilities and water conservancy facilities decreased, while energy infrastructure, transportation infrastructure, and ecological environmental protection increased [14][18]. - Trading volume and turnover of different types: The trading volumes of different types of public - offering REITs all increased, with significant increases in some types. The daily average turnover rates of some types also increased [22][23]. - Single - target performance: Most of the 78 public - offering REIT products rose, with 63 rising and 15 falling. Some products had relatively high turnover rates and trading volumes [26]. 3.2 Primary Market: 28 Public - Offering REIT Funds Waiting to Be Listed - Issuance situation: As of December 26, 2025, a total of 79 public - offering REITs have been issued, with a total issuance scale of 203.374 billion yuan. 20 public - offering REITs have been issued since 2025, and one was newly issued in November 2025, with a scale of 1.505 billion yuan [32]. - Pending listing: There are 28 public - offering REIT funds waiting to be listed, including 15 initial offerings and 13 expansions. In terms of project status, 10 have passed, 7 have been feedback, 4 have been questioned, 5 have been accepted, and 2 have been reported. By type, there are different numbers of projects in different sub - categories [34]. 3.3 Public - Offering REITs Policies and Market Dynamics - Dividend information: CICC Puluoshi REIT announced its fourth dividend in 2025, with a cash dividend of 0.4335 yuan per 10 shares. CITIC Construction Investment State Power Investment New Energy REIT had its first dividend, with 1.587 yuan per 10 shares [37][38][39]. - Listing information: On December 26, the additional shares of Guotai Haitong Dongjiu New Economy REIT were listed on the Shanghai Stock Exchange, with 119.3 million additional shares, an issue price of 3.582 yuan per share, and a total raised funds of 427.2 million yuan [40]. 3.4 Investment Recommendations - Market trends: This week, the REITs index rose slightly, and the trading amount of the public - offering REITs market increased. The indices of property - type and franchise - type public - offering REITs rose, with only water conservancy facilities and municipal facilities REITs falling. - Future outlook: The additional shares of Guotai Haitong Dongjiu New Economy REIT were listed this week. 20 public - offering REITs have been issued this year, with a total scale of over 30 billion yuan. 28 REIT funds are waiting to be listed, and the market is expected to continue to expand. - Investment suggestion: In the context of the asset shortage, public - offering REITs have high dividends and medium - low risks, with a relatively high allocation cost - performance [5][42].

Group 1: Key Insights - The report highlights the strong growth potential of the semiconductor testing industry, particularly for companies like Huafeng Measurement and Control (688200), which is positioned to benefit from the increasing demand for simulation and digital testing machines driven by AI chip requirements [4][5][6] - Guoke Military Industry (688543) is noted for its transition from conventional ammunition to intelligent and information-based ammunition, which is expected to enhance its growth prospects in a high-demand industry [4][5] - Purtai (603659) is recognized as a leading global lithium battery materials platform, with its negative electrode and diaphragm businesses expected to show long-term improvement [4][5] Group 2: Company-Specific Analysis - Wanchen Group (300972) is projected to continue expanding its store count, currently exceeding 18,000, while improving net profit margins through scale effects and supply chain efficiencies [5][6] - Top Group (601689) is actively developing new products in collaboration with major clients, including liquid cooling solutions, which have already secured initial orders worth 1.5 billion [7][8] - Zhuoyue New Energy (688196) is expanding its production capacity in the biofuel sector, with a focus on biodiesel and bio-based materials, supported by favorable policies and a projected internal rate of return of 28.94% for new projects [8][9] Group 3: Industry Trends - The report indicates that the server liquid cooling market is expected to experience significant growth in 2026 and 2027, with companies like Yingweike (002837) poised to capture substantial market share [8][9] - The mechanical equipment sector, particularly companies like Binglun Environment (000811), is expanding its presence in various fields, including nuclear power and industrial heat control, which is expected to provide new growth opportunities [9][10] - The AI industry is driving demand for intelligent control systems, with companies like Zhiwei Intelligent (001339) developing products that cater to this emerging market [10]

Investment Rating - The report maintains a "Buy" rating for the company, Invec, with a target price based on the last closing price of 110.59 [1][4]. Core Insights - Invec achieved revenue of approximately 4.026 billion yuan in the first three quarters of 2025, representing a year-on-year increase of 40.19%. The net profit attributable to shareholders was about 399 million yuan, up 13.13% year-on-year [2]. - The company is recognized as a leading provider of precision temperature control and energy-saving solutions, with significant growth potential driven by the increasing power density of computing chips and the construction of data centers in North America and domestically [4][5]. - The company has successfully penetrated the overseas market, including partnerships with major clients like Nvidia, and is expected to gradually capture market share from other CSP manufacturers [3]. Financial Performance Summary - For 2025, the company is projected to generate revenue of 6.781 billion yuan, with a growth rate of 47.8%. The net profit is expected to reach 713 million yuan, reflecting a growth rate of 57.6% [5]. - The gross profit margin for Q3 was reported at 27.32%, an increase of 1.17 percentage points compared to the first half of the year, attributed to a higher proportion of overseas projects and the release of high-value liquid cooling products [2]. - The company anticipates a significant increase in revenue and net profit as the liquid cooling industry experiences explosive growth [2][4].

Investment Rating - The report does not provide specific investment ratings for sub-industries such as power station equipment, electrical equipment, power supply equipment, and new energy power systems [2]. Core Insights - The overall industry strategy indicates that energy storage and lithium batteries are expected to continue exceeding expectations, with price increases and AI+ providing flexibility. Emphasis is placed on the enhanced pricing power in the mid-to-upstream segments, suggesting that it is a favorable time for investment, focusing on the certainty of leading companies and the flexibility of upstream suppliers [3][6]. - The new energy vehicle supply chain is entering a new upward cycle, with strong pricing power in lithium battery segments benefiting companies like CATL, Hunan Youneng, Tianci Materials, and others. Recent data shows global lithium battery production reached 236.4 GWh in November 2025, a year-on-year increase of 44.6% [3][4]. - Solid-state batteries are highlighted as a key focus for 2026, with companies like Xiamen Tungsten and Putailai expected to benefit from advancements in production and cost control [4]. Summary by Sections Energy Storage and Lithium Batteries - The lithium battery sector is experiencing sustained high demand, with significant production increases projected. For instance, global energy storage battery production is expected to reach 960 GWh in 2026, up from 620 GWh in 2025, marking a 55% increase [3][36]. - A recent agreement between Zhongxin Innovation and Shengxin Lithium Energy to secure a five-year supply of 200,000 tons of lithium salt reflects the importance of upstream supply security in the lithium battery industry [3]. Solid-State Batteries - The solid-state battery segment is anticipated to see production ramp-up, with a focus on mass production processes and cost control. Recent IPO efforts by companies like Weilan New Energy indicate growing interest in this technology [4]. Photovoltaic and Energy Storage - The photovoltaic and energy storage sectors are expected to see gradual improvements in market conditions. Recent collaborations, such as between CATL and Siyuan Electric, aim to enhance energy storage capacity [5][6]. - The European energy storage market is projected to grow significantly, with 2,356 storage projects totaling 170.92 GW capacity identified, indicating a shift towards chemical energy storage solutions [5][26]. AI and New Energy - The integration of AI in the new energy sector is emphasized, with companies like Youbixun and Keda Li benefiting from advancements in robotics and AI technology [7]. - The report highlights a significant transformation in electricity pricing mechanisms, moving from government-set prices to market-driven pricing, which will impact energy storage investors and electricity users [24][25].

Quantitative Models and Construction Methods 1. Model Name: Industry Crowding Monitoring Model - **Model Construction Idea**: This model is designed to monitor the crowding levels of industries on a daily basis, using the Shenwan First-Level Industry Index as the benchmark[3] - **Model Construction Process**: The model calculates the crowding levels of various industries based on daily data. It identifies industries with high crowding levels (e.g., military and building materials) and low crowding levels (e.g., banking, computing, and media). The model also tracks changes in crowding levels over time to highlight significant variations, such as the large changes observed in the building decoration and real estate sectors[3] - **Model Evaluation**: The model provides actionable insights into industry crowding trends, helping investors identify potential opportunities and risks in specific sectors[3] 2. Model Name: Premium Rate Z-Score Model - **Model Construction Idea**: This model is used to identify potential arbitrage opportunities in ETF products by calculating the Z-score of premium rates[4] - **Model Construction Process**: The model employs a rolling calculation of the Z-score for the premium rates of ETF products. The Z-score is used to determine whether an ETF is overvalued or undervalued relative to its historical premium rate distribution. This helps in identifying ETFs with potential arbitrage opportunities while also warning of potential pullback risks[4] - **Model Evaluation**: The model is effective in screening ETF products for arbitrage opportunities and provides a systematic approach to risk management[4] --- Model Backtesting Results 1. Industry Crowding Monitoring Model - **Key Observations**: - High crowding levels were observed in the military and building materials industries, while banking, computing, and media showed low crowding levels[3] - Significant changes in crowding levels were noted in the building decoration and real estate sectors[3] 2. Premium Rate Z-Score Model - **Key Observations**: - The model identified ETFs with potential arbitrage opportunities based on their premium rate Z-scores, though specific numerical results were not disclosed in the report[4] --- Quantitative Factors and Construction Methods No specific quantitative factors were explicitly mentioned in the report. --- Factor Backtesting Results No specific factor backtesting results were explicitly mentioned in the report. --- Additional Notes - The report primarily focuses on the construction and application of quantitative models for industry crowding monitoring and ETF product screening. It does not delve into individual quantitative factors or their backtesting results. - The models provide valuable insights for identifying market trends and potential investment opportunities, but specific numerical backtesting metrics (e.g., IR or Sharpe ratios) were not provided.

Investment Rating - The report maintains a "Buy" rating for the company [5] Core Insights - The company is a leading global Fabless chip supplier, expanding its product lines in storage, MCU, niche DRAM, sensors, and analog chips, benefiting from a recovery in downstream demand and opportunities arising from the exit of overseas competitors from niche markets [2][3] - The NOR Flash market is expanding due to AI-driven demand, with the company achieving a market share of 18.5%, ranking second globally and first in mainland China [3][26] - The exit of major overseas manufacturers from the DDR3 market has created significant opportunities for domestic manufacturers in the niche DRAM sector, with the company poised to capture market share [4][45] Summary by Sections I. Global Leading Fabless Chip Supplier - The company has a diversified layout in "sensing, storage, computing, control, and connectivity," continuously deepening its product offerings since its establishment in 2005 and listing in 2016 [7][9] II. AI-Driven Expansion of NOR Flash Market - The global NOR Flash market is projected to grow from $2.8 billion in 2024 to $4.2 billion by 2029, driven by AI applications in consumer electronics and automotive sectors [23][26] - The company has achieved a significant market share in NOR Flash, benefiting from the exit of major competitors and the increasing demand for AI-enabled devices [3][26] III. Optimized Supply Landscape for Niche DRAM - The company is well-positioned in the niche DRAM market, with a product line that includes DDR4 and LPDDR4, expected to see significant growth due to the exit of major players from the DDR3 market [4][45] - The global niche DRAM market is anticipated to grow from $8.5 billion in 2024 to $13.2 billion by 2029, driven by demand from industrial control, AI applications, and automotive electronics [43][45] IV. Profit Forecast and Investment Recommendations - Revenue projections for 2025-2027 are estimated at 94.23 billion, 119.46 billion, and 149.62 billion yuan, with corresponding net profits of 17.76 billion, 25.29 billion, and 31.68 billion yuan, reflecting strong growth rates [5][11]

- The industry crowding monitoring model was constructed to monitor the crowding level of Shenwan primary industry indices daily. The model identifies industries with high crowding levels, such as military, non-ferrous metals, and building materials, while industries like banking, computers, and media exhibit lower crowding levels. The model also tracks changes in crowding levels, highlighting significant variations in sectors like home appliances and environmental protection[3] - The Z-score premium rate model was developed to screen ETF products for potential arbitrage opportunities. This model uses rolling calculations to identify ETFs with significant deviations from their intrinsic value, providing signals for potential investment opportunities while warning of possible risks of price corrections[4] - The Z-score premium rate model's construction process involves calculating the Z-score of the premium rate for each ETF product. The formula for Z-score is: $ Z = \frac{(P - \mu)}{\sigma} $ where $ P $ represents the premium rate, $ \mu $ is the mean premium rate, and $ \sigma $ is the standard deviation of the premium rate. This calculation helps identify ETFs with significant deviations from their average premium rate[4] - The Z-score premium rate model is evaluated as a useful tool for identifying arbitrage opportunities in ETF products, but it requires caution due to potential risks associated with price corrections[4] - The industry crowding monitoring model is considered effective for tracking daily crowding levels and identifying significant changes in industry crowding dynamics, aiding in investment decision-making[3] - The Z-score premium rate model's testing results are not explicitly provided in the report[4]

Investment Rating - The industry rating is optimistic, expecting overall returns to exceed the CSI 300 index by more than 5% in the next six months [11] Core Insights - The report highlights that the real estate sector is experiencing a positive market trend, with the Shanghai Composite Index and Shenzhen Composite Index rising by 0.53% and 1.04% respectively on December 24, 2025 [3] - The report notes significant individual stock performances, with top gainers including Hualian Holdings (up 9.95%) and Daming City (up 5.78%), while notable decliners include Zhongtian Services (down 3.06%) and Sanxiang Impression (down 2.05%) [4] - Recent policy adjustments in Beijing aim to optimize housing purchase conditions, including reduced social security or tax payment requirements for non-local families and support for multi-child families in purchasing additional properties [7][8] Market Performance - On December 24, 2025, the real estate sector index rose by 0.67%, indicating a positive sentiment in the market [3] - Chengdu successfully sold seven residential land parcels for a total of 1.494 billion yuan, while Zhengzhou sold three residential plots for a total of 1.025 billion yuan, reflecting active land transaction activities [5][6] Policy Changes - The Beijing government has implemented new housing purchase policies effective December 24, 2025, which include easing restrictions for non-local families and enhancing support for families with multiple children [7][8]

Quantitative Models and Construction Methods 1. Model Name: Industry Crowding Monitoring Model - **Model Construction Idea**: This model is designed to monitor the crowding levels of industries on a daily basis, focusing on the Shenwan First-Level Industry Index. It identifies industries with high or low crowding levels and tracks changes in crowding over time[3]. - **Model Construction Process**: The model calculates the crowding level of each industry based on specific metrics (not detailed in the report). It then ranks industries by their crowding levels and highlights those with significant changes in crowding. For example, the report notes that the military and retail industries had high crowding levels, while the computer industry had relatively low levels. Additionally, it tracks main fund flows into and out of industries over recent trading days[3]. - **Model Evaluation**: The model provides actionable insights into industry crowding trends, helping investors identify potential opportunities or risks in specific sectors[3]. 2. Model Name: Premium Rate Z-Score Model - **Model Construction Idea**: This model is used to screen ETF products for potential arbitrage opportunities by calculating the Z-score of their premium rates. It also serves as a warning signal for potential price corrections in ETFs[4]. - **Model Construction Process**: The model involves rolling calculations of the Z-score for the premium rates of various ETFs. The Z-score is calculated as: $ Z = \frac{(P - \mu)}{\sigma} $ where $ P $ is the current premium rate, $ \mu $ is the mean premium rate over a rolling window, and $ \sigma $ is the standard deviation of the premium rate over the same window. ETFs with extreme Z-scores are flagged as potential arbitrage opportunities or correction risks[4]. - **Model Evaluation**: The model is effective in identifying ETFs with significant deviations from their historical premium rates, providing opportunities for arbitrage or risk management[4]. Model Backtesting Results 1. Industry Crowding Monitoring Model - No specific numerical backtesting results are provided for this model in the report[3]. 2. Premium Rate Z-Score Model - No specific numerical backtesting results are provided for this model in the report[4]. Quantitative Factors and Construction Methods No specific quantitative factors are detailed in the report. Factor Backtesting Results No specific backtesting results for factors are detailed in the report.