Core Insights - The report highlights the "Davis Double Click Strategy," which involves buying stocks with low price-to-earnings (PE) ratios that have growth potential, and selling them once their growth is realized, leading to a multiplier effect on returns [3] - The "Net Profit Discontinuity Strategy" has achieved an annualized return of 29.42% since 2010, with a year-to-date absolute return of 67.17% and an excess return of 36.79% over the benchmark index [9][10] - The "Enhanced CSI 300 Portfolio" is constructed based on investor preference factors, showing a stable historical excess return of 20.92% relative to the CSI 300 index this year [12][16] Group 1: Davis Double Click Strategy - The strategy has generated a back-tested annualized return of 26.45% from 2010 to 2017, outperforming the benchmark by 21.08% [3][7] - In 2025, the strategy's cumulative absolute return is reported at 55.89%, exceeding the CSI 500 index by 25.50% [7][10] - The strategy's performance is characterized by stability, with excess returns exceeding 11% in each of the seven complete years during the back-test period [3][7] Group 2: Net Profit Discontinuity Strategy - This strategy focuses on stocks that show a significant upward price gap on the first trading day after earnings announcements, indicating market approval of the earnings report [9][10] - The strategy has achieved a cumulative absolute return of 67.17% in the current year, with an excess return of 36.79% over the benchmark index [10][11] - Historical performance shows that the strategy has an annualized return of 29.42% and a stable excess return of 26.22% over the benchmark since its inception [9][10] Group 3: Enhanced CSI 300 Portfolio - The portfolio is designed based on investor preferences, including GARP, growth, and value investors, aiming to identify undervalued stocks with strong profitability [12][16] - The portfolio has shown a relative excess return of 20.92% against the CSI 300 index this year, with a monthly excess return of 2.58% [12][16] - The strategy's performance is supported by a historical back-test that indicates stable excess returns [12][16]

- Model Name: Timing System Model; Model Construction Idea: The model uses the distance between the long-term moving average (120 days) and the short-term moving average (20 days) to distinguish the overall market environment[2][6][11] - Model Construction Process: The model calculates the distance between the 20-day moving average and the 120-day moving average. The latest data shows the 20-day moving average at 6298 points and the 120-day moving average at 6090 points. The difference between the two lines is 3.41%, and the absolute value of the distance continues to be greater than 3%, indicating that the market is in an upward trend[2][6][11] - Model Evaluation: The model effectively identifies the market's upward trend, providing a positive signal for market timing[2][6][11] - Model Name: Industry Trend Allocation Model; Model Construction Idea: The model identifies industry trends and allocates based on medium-term reversal expectations and sector performance[2][5][7] - Model Construction Process: The model signals to focus on service consumption sectors such as tourism and media based on medium-term reversal expectations. The TWO BETA model continues to recommend the technology sector, focusing on AI applications and commercial aerospace. The industry trend model shows that the communication, industrial metals, and energy storage sectors continue their upward trend[2][5][7] - Model Evaluation: The model provides clear guidance on sector allocation, helping investors to focus on promising sectors[2][5][7] - Model Name: Position Management Model; Model Construction Idea: The model suggests stock allocation based on valuation indicators and short-term trends[5][7] - Model Construction Process: The model uses the PE and PB ratios of the WIND All A Index. The PE ratio is near the 90th percentile, indicating a relatively high valuation, while the PB ratio is at the 50th percentile, indicating a moderate level. Based on these indicators and short-term trends, the model suggests an 80% stock allocation for absolute return products[5][7] - Model Evaluation: The model provides a balanced approach to stock allocation, considering both valuation and market trends[5][7] Model Backtest Results - Timing System Model, Moving Average Distance: 3.41%[2][6][11] - Timing System Model, Market Trend Line: 6262 points[2][6][11] - Timing System Model, Profit Effect: 2.71%[2][6][11] - Position Management Model, PE Ratio: 90th percentile[5][7] - Position Management Model, PB Ratio: 50th percentile[5][7] - Position Management Model, Stock Allocation: 80%[5][7]

Investment Rating - The report maintains a "Buy" rating for several key companies in the coal industry, including Shanxi Coking Coal, Lu'an Huanneng, Yancoal, China Shenhua, Shaanxi Coal and Chemical Industry, and others [5]. Core Insights - The coal market is experiencing a supply-demand tug-of-war, leading to continued price fluctuations. Recent supply constraints and increasing terminal demand have resulted in a slight recovery in port coal prices. However, as coal mines resume production after the New Year, supply is expected to stabilize, while demand is anticipated to strengthen due to colder weather [8][9]. - The report suggests a strategy of buying on dips, focusing on companies with strong dividend yields and low valuations, as well as those with significant production capacity growth potential. Key recommendations include China Shenhua, Zhongmei Energy, and Yancoal, among others [8][9]. Summary by Sections 1. Core Views and Business Tracking - The report emphasizes the importance of dividend policies and growth prospects for listed companies in the coal sector [13][15]. 2. Coal Price Tracking - The report tracks coal price indices, noting that the price of thermal coal at the port has shown a week-on-week increase of 6 CNY/ton, while year-on-year comparisons indicate a decline [9][10]. 3. Coal Inventory Tracking - As of December 31, 2025, the inventory at the Bohai Rim ports was reported at 28.366 million tons, reflecting a week-on-week decrease of 5.43% [8]. 4. Downstream Performance of the Coal Industry - The report highlights that the daily coal consumption across 25 provinces reached 6.116 million tons, marking a 12.78% increase compared to the end of November [8][9]. 5. Weekly Performance of the Coal Sector and Individual Stocks - The coal sector has seen significant price movements, with individual stocks reflecting the overall market trends. The report provides detailed performance metrics for key companies [10][11].

Investment Rating - The report maintains an "Accumulate" rating for the industry [6] Core Viewpoints - The commercial aerospace industry is expected to enter an explosive growth phase over the next two years, driven by technological breakthroughs and policy incentives. The demand for launch services and satellite networking is anticipated to increase significantly, supported by the U.S. "America First" space policy and China's advancements in rocket launch capabilities [9][21] - The establishment of a dedicated regulatory body, the "Commercial Aerospace Administration," and the rapid acceptance of Blue Arrow Aerospace's IPO indicate accelerated policy and capital support for the commercial aerospace sector [11][22] - The integration of artificial intelligence with commercial aerospace is transforming "space computing" from a concept into a commercial reality, enhancing demand for satellite manufacturing and launch services [12][23] Summary by Sections Industry Overview - The industry comprises 142 listed companies with a total market value of 32,882.43 billion CNY and a circulating market value of 28,949.45 billion CNY [3] Key Developments - The successful launch of the "Fengyun-4C" satellite and the "Long March 7" rocket demonstrates China's growing capabilities in aerospace technology [14][30] - The first operational 30 MW pure hydrogen gas turbine marks a significant milestone in aviation equipment, showcasing advancements in green energy technology [13][28] Market Performance - The defense and military industry index rose by 3.05%, ranking second among 31 major industry sectors, with a current PE(TTM) of 78.4 times [41][48] Investment Opportunities - Recommended companies in the missile and military electronics sector include Hongyuan Electronics, Torch Electronics, and Macro Electronics [24] - In the aerospace engine sector, companies like Aero Engine Corporation of China and supporting firms such as Yingliu Co. and Aerospace Technology are highlighted [25] - For military trade, key players include AVIC Chengfei, AVIC Shenyang, and AVIC Xi'an [26] - In the new domain construction, companies like Guolian Aviation and Superjet Co. are suggested for investment in commercial aerospace [27]

A H 股市场周度观察（12 月第 5 周） 证券研究报告/策略定期报告 2026 年 01 月 03 日 执业证书编号：S0740519080003 Email：xuchi@zts.com.cn 执业证书编号：S0740520120003 Email：zhangwy01@zts.com.cn 是结构性切换？》2025-08-10 2、《A H 股市场周度观察（8 月第 1 周）》2025-08-04 内容目录 | A H 股市场周度观察（12月第 5 周） . | | --- | | 一、Ａ股: | | 二、港股： | | 风险捉示 … | 请务必阅读正文之后的重要声明部分 - 2 - 3、《7 月政治局会议对市场影响几 何？》2025-08-03 分析师：徐驰 报告摘要 一、A 股： 请务必阅读正文之后的重要声明部分 分析师：张文宇 【市场走势】本周 A 股市场表现分化，主要宽基指数涨跌不一。上证指数微涨 0.13%， 但深证成指、创业板指和北证 50 均有所下跌，其中北证 50 跌幅最大，下跌 1.55%。 风格指数方面，中盘价值和小盘成长表现较好。行业方面，综合金融、石油石化和国 防军工领涨，而商贸零 ...

Investment Rating - The industry investment rating is "Increase" [4][9] Core Insights - The daily consumption of Douyin's comic dramas has surpassed 20 million yuan, indicating a significant growth trend in the industry. The total daily consumption across major platforms like Douyin, Kuaishou, and Baidu has reached approximately 30 million yuan, approaching the consumption levels of live-action short dramas [6] - The report highlights the competitive landscape, with major platforms like Baidu and NetEase launching their own comic drama applications, intensifying competition in the market. Baidu's independent comic drama app "Youmanju" was launched on December 26, while NetEase's "Lingyang" announced a new comic drama mini-program on Kuaishou [6] - The report notes a substantial increase in female-oriented comic dramas, with 243 new titles added in December, marking a 183% month-on-month growth. However, the report also points out that there is still a lack of breakout hits in this category [6] Summary by Sections Industry Overview - The industry consists of 130 listed companies with a total market value of approximately 1716.49 billion yuan and a circulating market value of about 1590.11 billion yuan [2] Market Trends - The comic drama content type is expanding, with AI-driven productions gaining traction. The report anticipates that the consumption scale of comic dramas may catch up to or even exceed that of live-action short dramas [6] - The competition among platforms is expected to intensify, with various production companies rapidly acquiring IP resources and talent [6] Company Recommendations - The report recommends focusing on companies with strong comic IP reserves and strategic partnerships in comic drama production, such as Rongxin Culture and Zhongwen Online. It also suggests monitoring companies involved in IP sourcing and AI technology [6]

Report Summary - The report focuses on the possible adjustment path of the term structure of interest-bearing bonds in 2026, analyzing local government bond issuance plans and related influencing factors [1][2] Report Industry Investment Rating - Not provided Core Viewpoints - There is currently no evidence of changes in local government bond issuance terms from the plans of individual provinces; the adjustment space for general bonds is limited, and special bonds need adjustment, but the terms of special bonds for replacing implicit debts have always been long; historically, the issuance terms were adjusted downward after local government bonds "soared" in October 2023, but the current situation is different; in terms of national debt supply, the terms of general national debt have significantly shortened, and special national debt is the key focus [3] Summary by Related Catalogs Shandong's 2026 First Batch of Local Bond Issuance Plan - On December 26, Shandong announced its first batch of local bond issuance plans for 2026, with a total of 72.381 billion yuan of special bonds to be issued on January 5, 2026, with a weighted average term of 21 years. Among them, the new special bonds are 46.772 billion yuan, and the proportions of 10Y, 15Y, and 30Y are 16.2%, 25.3%, and 48.5% respectively; the refinancing special bonds for replacing implicit debts are 25.609 billion yuan, and the proportions of 10Y, 15Y, and 30Y are 6.6%, 47.0%, and 46.4% respectively. Compared with the first quarter of 2025, the term structure is relatively similar [2] Term Structure of Local Bond Issuance Plans of Announced Provinces - As of December 30, 24 regions have announced their local bond issuance plans for the first quarter or January of 2026, with a total amount of 1.88 trillion yuan. Some regions have reduced ultra-long-term varieties in their issuance plans compared with the first quarter of 2025. Local government general bonds have a relatively stable overall issuance term and limited adjustment space, while the terms of new, implicit debt replacement, and special refinancing special bonds have significantly lengthened in the past five years and have some adjustment space [2] Factors Affecting Local Bond Issuance Terms - In 2023, the weighted average issuance term of overall government bonds decreased, with the proportion of bonds over 10Y decreasing. The local bond issuance spread is a key indicator. Since June 2021, the average issuance spread of local bonds has significantly declined, but it increased in October 2023, and the issuance terms of general and special bonds decreased. In terms of national debt supply, the terms of general national debt have significantly shortened in recent years, while special national debt is the main provider of ultra-long bonds [2][3]

Group 1: Report's Industry Investment Rating - The industry rating is "Overweight", indicating an expected increase of over 10% compared to the benchmark index in the next 6 - 12 months [50] Group 2: Report's Core View - 2025 was a more "uncomfortable" year for the bond market than 2017, with a worse investment and holding experience. The market should shift from "asset pricing research" to "liability behavior research" and avoid being confined by existing frameworks [3][7] - The traditional bond - market research frameworks are not reliable, as they are mostly established in the past few years and do not adapt well to rapid changes. The focus should be on trading and liability behavior research [45][46] Group 3: Summary by Directory 1. Technology Bull Disrupting Bond Bull (February) - The first bond - market adjustment from February to March was due to the "liability shortage", which was actually the prelude of the year's adjustment. The technology - stock rally diverted funds from fixed - income to equities, and it was also a link between the 2024 "924 stock - bond seesaw" and the 2025 July stock - bond seesaw [7] - The view of "stock - bond double bull" was a fallacy, and the industry's attitude towards technology - stock positions began to change, affecting the stock - bond balance strategy [8][10] 2. Liability Shortage and Seasonal Anomaly (March) - Seasonal patterns in the bond market failed in March, November, and December. This was caused by the seasonality of bank - deposit maturities and the reversal of wealth - management institutions' performance - chasing behavior [11] 3. Trade Disturbance Interlude (April) - The bond - market rally in April was mainly due to the oversold rebound after large banks sold OCI bonds for profit settlement, not trade disturbances. Comparing 2025 with 2018, asset - pricing models overly relying on export forecasts are not robust [14][16] - As of November, exports were a significant positive contributor to GDP, and there are high expectations for next - year's exports [17] 4. Starting Point of Story Reconstruction (June) - Signs of bond - market adjustment could be seen in the equity market in June, such as the failure of the real - estate recovery in the second quarter, the increase of bond - fund duration to a high - level, and investors' misunderstanding of the equity market [19] - The market should change its subjective value judgment on data, and previous interest - rate decline stories were not reliable, such as "Japanization" and "de - globalization" [21] 5. Anti - Involution: Building High and Entertaining Guests (July) - The "anti - involution" market started with policy - catalyzed price "reflexivity". After July, commodity prices rose, and inflation expectations improved, which led to bond - market adjustment [22] - Later, only the new - energy sector could support price "anti - involution", while commodity prices in other sectors fell back, but bond yields did not [23] 6. Which is Primary: Trading or Fundamentals? (September) - In September, the expected improvement in supply - demand from "anti - involution" did not materialize, and two investment logics were in a "voting competition": one based on the micro - trading structure and the other affected by market "news" [25] - Bond trading is primary, and over - emphasizing research frameworks while ignoring trading itself is inappropriate [29] 7. Bond Market Recovery with Limited Impact from Bond Buying (October) - In October, the bond market had a small recovery due to loose expectations and a second - round of trade disturbances. However, several events indicated that the market did not have a long - term valuation recovery [30] - Trading institutions were optimistic and increased duration, while banks' liability - side behaviors showed "redemption during recovery", and bonds with maturities under 10 years were more stable [30][31] - The total bond - investment funds were stable, with banks' bond investments moving from off - balance - sheet to on - balance - sheet. This led to discussions on "bond - market supply - demand" from November to December [33][34] 8. Bond - Market Supply - Demand Issues Becoming Systematized (November) - In November, as the bond market fell after the October recovery, economic data weakened, and the stock - bond seesaw effect failed. The market began in - depth research on "liability behavior" [35] - Insurance - premium structure changes, bank EVE limitations, and the rigidity of interest - rate bond issuance affected bond supply - demand, especially for long - term interest - rate bonds [35] 9. New - Year Opening, Allocation - Oriented Institutions' Linear Allocation, and Withdrawal of Trading - Oriented Institutions (December) - In December, the bond market fluctuated after an initial sharp decline due to concentrated long - term bond supply. Short - term bonds were strong due to central - bank support, accelerated year - end fiscal expenditure, and large - bank net lending [37][38] - Long - term bonds had significant long - short divergence. The mainstream view is that long - term bond supply - demand issues and spread - widening risks exist, and the long - end New - Year market is not worth expecting [40][44] Bond - Market "Traditional Framework" Failure Theory: Leveraging Thinking is "Knowledge Debt" - Most so - called "traditional frameworks" in the bond market are not reliable, as they are newly established and do not adapt well to rapid changes. Over - abstracted bond - market methodologies can lead to "cognitive overload" [46] - The bond market should learn from 2025 and shift from "asset pricing research" to "liability behavior research" in 2026 [48]

Core Insights - The report projects a GDP growth target of around 5% for 2026, emphasizing a coordinated approach to promote consumption and expand investment to ensure a strong start to the 14th Five-Year Plan [3][4] - China's exports are expected to maintain resilience, with a projected growth of 3.4% in 2026, supported by factors such as re-export trade and the gradual impact of U.S. tariffs on global trade [3][4] - Manufacturing investment is anticipated to recover slightly from 1% in 2025 to around 2% in 2026, driven by resilient exports and continued policy support for advanced manufacturing [4] Economic Outlook - The real estate sector is expected to see a decline in sales area by approximately 5% in 2026, but the direct drag on the economy from real estate investment is expected to lessen, with a projected decline of around 11% compared to 16% in 2025 [5] - Expanding domestic demand is identified as a crucial pathway to achieve the 5% GDP growth target, with a focus on promoting consumption and investment [5][6] - Consumer sentiment is expected to recover gradually, with government support for consumption projected to remain at least at the 300 billion level seen in 2025 [5][6] Investment and Policy - Infrastructure investment is forecasted to rebound from a decline of about 1% in 2025 to an increase of 8% in 2026, supported by previously announced policies [6] - The report indicates a moderate recovery in consumer prices, with PPI expected to improve from -2.6% in 2025 to -1.2% in 2026, and CPI from 0.0% to 0.5% [6] - Fiscal policy is projected to remain supportive, with a broad deficit expected to increase from approximately 11.86 trillion to 12.45 trillion, reflecting a slight rise in the broad deficit ratio [7][8]

Investment Rating - The report assigns a "Buy" rating for the company, marking its first coverage [3]. Core Insights - The company, Guoquan, is positioned as a leading one-stop brand for home dining products in China, focusing on providing diverse meal solutions [11]. - The market for home dining products is projected to grow significantly, with a CAGR of 22.81%, reaching a retail value of 940 billion yuan by 2027 [6][30]. - Guoquan's competitive advantages include a well-integrated supply chain, extensive community store network, and a high-engagement membership system, which are expected to drive both short-term and long-term growth [7]. Financial Projections - Revenue is forecasted to grow from 6.1 billion yuan in 2023 to 10.27 billion yuan in 2027, with year-on-year growth rates of 21%, 15%, and 14% respectively [3][7]. - Net profit is expected to increase from 240 million yuan in 2023 to 652 million yuan in 2027, reflecting a significant growth of 96%, 22%, and 19% in the respective years [3][7]. - Earnings per share (EPS) are projected to rise from 0.09 yuan in 2023 to 0.25 yuan in 2027 [3]. Business Model and Market Position - Guoquan operates a unique "community central kitchen" model, which combines food manufacturing and community retail, allowing for cost efficiency and high-quality product offerings [44]. - The company has established a robust store network, with over 10,761 stores across 31 provinces as of Q3 2025, positioning it as the largest one-stop home dining product retailer in China [47]. - The company has a market share of 3.0% in the home dining product sector, leading among competitors [34]. Growth Strategies - Guoquan plans to enhance its store performance through a dual approach of upgrading existing stores and expanding into rural markets, aiming to replicate its successful business model [7][39]. - The company is actively exploring new business formats, including outdoor dining and ready-to-eat meals, to capture additional market segments [7]. - Digital transformation initiatives are underway to improve operational efficiency and enhance customer engagement through data-driven decision-making [83]. Supply Chain and Logistics - The company has invested in seven proprietary food factories to ensure quality control and cost efficiency across its product range [66]. - A comprehensive cold chain logistics system supports the timely delivery of products to stores, enhancing customer satisfaction and operational reliability [70]. Marketing and Brand Strategy - Guoquan leverages celebrity endorsements and social media marketing to strengthen its brand presence and engage with consumers [72]. - The company has implemented a tiered membership system to enhance customer loyalty and increase repeat purchases [76].