Group 1 - The report suggests that investors should maintain a steady allocation strategy before the Spring Festival, anticipating the release of new momentum after the holiday [3][21] - The report highlights that the A-share market experienced a narrow fluctuation, with the Shanghai Composite Index slightly declining while the ChiNext and other indices showed gains [1][11] - The report indicates that the current valuation levels of the Sci-Tech 50 and the Wind All A indices are relatively high, with their PE(TTM) percentile ranks exceeding 90% as of January 16, 2026 [1][12] Group 2 - The report emphasizes the importance of monitoring the electronic, power equipment, and non-ferrous metals industries, which are expected to perform well in the upcoming market conditions [3][32] - The report notes that if the market style leans towards growth, the top-scoring industries in the five-dimensional industry comparison framework include electronics, power equipment, and communication [3][32] - In a defensive market style scenario, the top industries include non-bank financials, electronics, and power equipment, indicating a similarity in high-scoring industries across both growth and defensive styles [3][32] Group 3 - The report continues to focus on the commercial aerospace sector, which has shown signs of adjustment after a strong performance, suggesting that the sector may transition to a phase of consolidation [4][33] - The report warns of potential short-term profit-taking pressures in the commercial aerospace sector due to its previous high cumulative gains, but it remains optimistic about long-term growth driven by favorable industry policies [4][33]

Investment Rating - The report maintains an "Accumulate" rating for the industry [1] Core Insights - The report emphasizes the commitment of the China National Offshore Oil Corporation (CNOOC) to build a world-class energy group with distinct marine characteristics during the "14th Five-Year Plan" and outlines the strategic direction for the "15th Five-Year Plan" [4][5] - CNOOC aims to enhance its energy security capabilities, improve operational efficiency, and foster innovation while addressing challenges posed by external market conditions [4][6] - The company plans to focus on high-quality development, technological innovation, and digital transformation to strengthen its core competitiveness and contribute to national energy security [5][6] Summary by Sections Industry Overview - CNOOC has established a comprehensive marine energy development system, covering conventional oil and gas, deepwater oil and gas, LNG, and offshore wind power, positioning itself as a leader in marine energy development in China [8] Strategic Goals for the "15th Five-Year Plan" - CNOOC will focus on eight key areas: enhancing oil and gas exploration and production, refining and chemical industries, sales and trade of oil and gas products, strategic development of "electricity-hydrogen-carbon" businesses, exploration of marine mineral resources, improving technical service capabilities, enhancing financial service capabilities, and boosting technological innovation [6][7] Performance and Financial Outlook - CNOOC's oil production is projected to grow at a CAGR of 8.0% from 2021 to 2024, while natural gas production is expected to grow at a CAGR of 10.5% [9] - The company has shown resilience in performance during periods of declining oil prices, with significant improvements in free cash flow exceeding 100 billion yuan from 2022 to 2023 [9] - CNOOC plans to maintain a dividend payout ratio of no less than 45% from 2025 to 2027, highlighting its commitment to returning value to investors [9] Investment Recommendations - The report suggests focusing on CNOOC and its subsidiaries, including CNOOC Oilfield Services, CNOOC Engineering, and CNOOC Development, due to their integrated advantages across the oil and gas value chain and strong growth potential [11]

Investment Rating - The report maintains an "Overweight" rating for the basic chemical industry [6] Core Insights - The integration of "AI+" in the chemical industry is being driven by national policies aimed at enhancing quality and efficiency through advanced technologies like large models and digital twins [1][2] - The global small nucleic acid drug market is experiencing rapid growth, with projections indicating a market size exceeding $15 billion by 2026, driven by technological breakthroughs and commercialization [3][33] - Key players like Bluestar Technology and Lianhua Technology are leading breakthroughs in small nucleic acid production and CDMO services, respectively [4][36] Summary by Sections AI Integration in Chemical Manufacturing - The chemical industry is advancing towards large-scale application of "AI+" through three main pathways: self-developed large models by leading companies, collaboration with third-party platforms, and investment in AI startups [2][27] - Major companies such as China National Petroleum, Sinopec, and China National Offshore Oil Corporation are embedding AI into core business processes to enhance operational efficiency [2][27] Small Nucleic Acid Drug Market - The small nucleic acid drug market has grown from $0.1 million in 2016 to $3.25 billion in 2021, with a compound annual growth rate (CAGR) of 217.8% [3][33] - The market is expected to continue its growth trajectory, with a forecasted CAGR of 35% from 2020 to 2025 [3][33] Key Players and Innovations - Bluestar Technology has established a comprehensive technology platform for the synthesis and purification of small nucleic acids, making it one of only two global suppliers with such capabilities [4][34] - Lianhua Technology is expanding its CDMO services for small nucleic acids, achieving significant progress in international market collaborations [4][36] Investment Recommendations - The report suggests focusing on leading companies in the chemical sector that leverage data for efficiency gains, such as China National Petroleum, Sinopec, and Wanhu Chemical [5][32] - In the small nucleic acid sector, attention is drawn to Bluestar Technology and Lianhua Technology for their strategic positions in the market [5][37]

2026 年 1 月 17 日 要点 一、近期《求是》集中刊文聚焦房地产和城市更新，改善和稳定楼市预期。 1）1 月 2 日，《求是》杂志刊文《改善和稳定房地产市场预期》，提出"房地 产带有显著的金融资产属性…加强预期管理对稳定房地产市场具有特殊重要 性", "政策要一次性给足，不能采取添油战术，导致市场与政策陷入博弈状态"。 2）1 月 15 日，《求是》杂志刊发习近平总书记《在中央城市工作会议上的讲话》， 提出"我国城镇化正从快速增长期转向稳定发展期，城市发展正从大规模增量扩 张阶段转向存量提质增效为主的阶段"，"以坚持城市内涵式发展为主线……大 力推动城市结构优化、动能转换、品质提升"。同日另一刊文《现代化人民城市 怎么建》提出"实施存量更新、激活存量资源潜力将成为带动增量投资、拓宽收 入来源、提升资产价值的重要途径，不仅为进一步拉动内需提供重要支撑，也必 将为城市高质量发展注入新动能"。 3）1 月 16 日，《求是》杂志刊文《高质量推进城市更新》，提出"城市更新是 稳投资、促消费的关键载体"，"十五五"期间，实施城镇老旧小区改造、老旧 街区改造、老旧厂房改造、城市基础设施更新改造等城市更新重点任务， ...

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - From January 12 to January 16, 2026, the secondary - market prices of listed public REITs in China fluctuated and declined, and the market trading enthusiasm decreased compared with last week. The returns of REITs were weaker among mainstream large - asset classes. The secondary - market prices of both property - type and franchise - type REITs fell, while ecological and environmental protection - type and park - type REITs had positive returns. In terms of trading volume and other indicators, there were differences among different underlying asset types and individual REITs. There was no new REIT product listed in the primary market this week, but the project status of one REIT product was updated [1][2][4]. 3. Summary According to the Directory 3.1 Secondary Market 3.1.1 Price Trend - **Large - asset level**: The secondary - market prices of listed public REITs in China fluctuated and declined. The China Securities REITs (closing) and China Securities REITs Total Return Index closed at 790.22 and 1025.26 respectively, with a weekly return of - 0.36%. The weighted REITs index had a weekly return of - 0.34%. Among mainstream large - asset classes, the return ranking from high to low was: gold > convertible bonds > crude oil > A - shares > pure bonds > REITs > US stocks [11]. - **Underlying asset level**: The secondary - market prices of property - type and franchise - type REITs both declined, with returns of - 0.18% and - 0.61% respectively. Ecological and environmental protection - type REITs had the largest increase this week. The underlying asset types with positive returns were ecological and environmental protection - type and park - type, with returns of 0.56% and 0.38% respectively [17][20]. - **Single - REIT level**: This week, public REITs showed mixed trends, with 29 rising and 49 falling. The top three in terms of increase were CITIC Prudential Wumart Consumer REIT, Huatai - PineBridge Shanghai Real Estate Rental Housing REIT, and Huaxia Hefei High - tech REIT, with increases of 3.59%, 3.15%, and 2.24% respectively. The top three in terms of decline were Huaxia Nanjing Transportation Expressway REIT, CSC Mingyang Smart New Energy REIT, and CICC Chongqing Liangjiang REIT, with declines of 4.14%, 3.07%, and 2.9% respectively. In terms of annualized volatility, the top three were Huaxia Jinyu Zhizao Factory REIT, Huaxia Anbo Warehouse REIT, and Huaxia Shenzhen International REIT, with annualized volatilities of 20.72%, 19.62%, and 18.57% respectively [22]. 3.1.2 Trading Volume and Turnover Rate - **Underlying asset level**: The trading volume of public REITs this week was 2.65 billion yuan. New - type infrastructure - type REITs led in the average daily turnover rate during the period. The total trading volume of 78 listed REITs was 2.65 billion yuan, and the average daily turnover rate during the period was 0.62%. In terms of trading volume, the top three REIT asset types were consumer infrastructure, park infrastructure, and transportation infrastructure, with trading volumes of 496 million, 494 million, and 457 million yuan respectively. In terms of turnover rate, the top three REIT asset types with the average daily turnover rate during the period were new - type infrastructure - type, municipal facilities - type, and ecological and environmental protection - type, with rates of 1.03%, 0.82%, and 0.82% respectively [25]. - **Single - REIT level**: The trading volume and turnover rate of single - REITs continued to show differences. In terms of trading volume, the top three were Bosera Shekou Industrial Park REIT, Huaxia Hefei High - tech REIT, and Soochow Suyuan Industrial REIT, with trading volumes of 30 million, 24 million, and 24 million shares respectively. In terms of trading amount, the top three were Huaxia China Resources Commercial REIT, Southern Runze Technology Data Center REIT, and Huaxia China Communications Construction REIT, with trading amounts of 160 million, 98 million, and 92 million yuan respectively. In terms of turnover rate, the top three were AVIC Yishang Warehouse Logistics REIT, AVIC Shougang Green Energy REIT, and E Fund Huawei Market REIT, with turnover rates of 8.20%, 6.70%, and 6.68% respectively [28]. 3.1.3 Main - force Net Inflow and Block - trading Situation - **Main - force net inflow situation**: The total main - force net inflow this week was 75.38 million yuan, and the market trading enthusiasm decreased compared with last week. From the perspective of different underlying asset REITs, the top three in terms of main - force net inflow during the period were consumer infrastructure - type, energy facilities - type, and affordable rental housing - type, with net inflows of 64.06 million, 13.47 million, and 12.15 million yuan respectively. From the perspective of single - REITs, the top three REITs in terms of main - force net inflow during the period were Huaxia China Resources Commercial REIT, Huaxia Joy City Commercial REIT, and CICC Yinli Consumer REIT, with net inflows of 37.63 million, 7.88 million, and 5.69 million yuan respectively [31]. - **Block - trading situation**: The total block - trading amount this week reached 207 million yuan, an increase compared with last week. There were block - trading transactions on 5 trading days this week, with a total block - trading amount of 207 million yuan. The block - trading amount on Wednesday (January 14, 2026) was the highest during the period, reaching 63.38 million yuan. In terms of single - REITs, the top three in terms of block - trading amount during the period were Huaxia Fund China Resources Youchao REIT, Red Land Innovation Yantian Port REIT, and China Merchants Fund Shekou Rental Housing REIT, with trading amounts of 86.73 million, 67.52 million, and 35.86 million yuan respectively, and corresponding average discount/premium rates of - 0.01%, + 0.07%, and - 1.18% respectively [33]. 3.2 Primary Market 3.2.1 Listed Projects - As of January 16, 2026, the number of public REIT products in China reached 78, with a total issuance scale of 201.749 billion yuan. Among them, the transportation infrastructure - type had the largest issuance scale, reaching 68.771 billion yuan, followed by the park infrastructure - type REITs, with an issuance scale of 32.933 billion yuan. No new REIT product was listed this week [37]. 3.2.2 Projects to be Listed - According to the project dynamic disclosure of the Shanghai Stock Exchange and the Shenzhen Stock Exchange, there were 19 REITs in the state of being to be listed, including 16 initial - issuance REITs and 3 REITs to be expanded. This week, the project status of Shanxi Securities Jinzhong Public Investment Ruiyang Heating Closed - end Infrastructure Securities Investment Fund (initial issuance) was updated to "feedback received" [41][42].

- The Beta factor achieved a positive return of 1.22% this week, while the size factor recorded a negative return of -0.79%, indicating a small-cap style in the market. Residual volatility and liquidity factors also showed negative returns of -0.77% and -0.56%, respectively[1][18][20] - In the CSI 300 stock pool, the top-performing factors this week were the 6-day moving average of transaction amounts (3.60%), 5-day average turnover rate (3.53%), and net profit gap (3.35%). The worst-performing factors were net inflow of large orders (-1.48%), the correlation between intraday volatility and transaction amounts (-1.30%), and the price-to-book ratio factor (-1.29%)[12][13] - In the CSI 500 stock pool, the best-performing factors this week were total asset growth rate (1.23%), post-morning return factor (1.12%), and single-quarter ROA YoY (1.02%). The worst-performing factors were the correlation between intraday volatility and transaction amounts (-2.89%), net inflow of large orders (-2.35%), and the price-to-book ratio factor (-2.30%)[14][15] - In the liquidity 1500 stock pool, the top-performing factors this week were single-quarter ROE (1.67%), total asset gross profit margin TTM (1.47%), and single-quarter ROA (1.33%). The worst-performing factors were the price-to-book ratio factor (-1.77%), the proportion of downside volatility (-1.39%), and the correlation between intraday volatility and transaction amounts (-1.19%)[16][17] - The PB-ROE-50 portfolio achieved positive excess returns this week, with -0.20% in the CSI 500 stock pool, 1.98% in the CSI 800 stock pool, and 2.85% in the overall market stock pool[23][24] - The institutional research portfolios also delivered positive excess returns this week. The public fund research stock selection strategy achieved an excess return of 3.24% relative to the CSI 800, while the private fund research tracking strategy achieved an excess return of 2.59% relative to the CSI 800[25][26] - The block trade portfolio, constructed based on the "high transaction, low volatility" principle, achieved an excess return of 3.94% relative to the CSI All Share Index this week[29][30] - The directed issuance portfolio, constructed around event-driven stock selection strategies, achieved an excess return of 1.16% relative to the CSI All Share Index this week[35][36]

Report Industry Investment Rating No relevant content provided. Core View of the Report - From January 12 to January 16, 2026, the issuance volume of credit bonds increased overall on a month - on - month basis, and the credit spreads of various industries also showed an overall upward trend [1]. Summary According to the Directory 1. Primary Market 1.1 Issuance Statistics - During January 12 - 16, 2026, a total of 342 credit bonds were issued, with a total issuance scale of 331.801 billion yuan, a month - on - month increase of 6.25%. Among them, 156 industrial bonds were issued, with a scale of 171.1 billion yuan (a 26.40% month - on - month increase, accounting for 51.57% of the total); 162 urban investment bonds were issued, with a scale of 92.801 billion yuan (a 33.19% month - on - month decrease, accounting for 27.97%); 24 financial bonds were issued, with a scale of 67.9 billion yuan (a 78.68% month - on - month increase, accounting for 20.46%) [1][11]. - The average issuance term of credit bonds this week was 2.67 years. The average issuance term of industrial bonds was 2.11 years, urban investment bonds was 3.40 years, and financial bonds was 1.68 years [1][13]. - The average issuance coupon rate of credit bonds this week was 2.17%. The average issuance coupon rate of industrial bonds was 2.04%, urban investment bonds was 2.33%, and financial bonds was 1.87% [2][17]. 1.2 Cancellation of Issuance Statistics - Five credit bonds were cancelled for issuance this week [23]. 2. Secondary Market 2.1 Credit Spread Tracking - By industry, in the Shenwan primary industries, the largest upward movement in the credit spread of AAA - rated industries was in real estate, up 6.9BP; the largest upward movement in the AA + - rated industries was in electrical equipment, up 12.3BP, and the largest downward movement was in leisure services, down 0.4BP; the largest upward movement in the AA - rated industries was in leisure services, up 21.6BP [3]. - By region for urban investment bonds, the largest upward movement in the AAA - rated credit spread was in Anhui, up 6.2BP; the largest upward movement in the AA + - rated was in Xinjiang, up 6BP, and the largest downward movement was in Henan, down 1.8BP; the largest upward movement in the AA - rated was in Shanghai, up 3BP, and the largest downward movement was in Guangxi, down 0.5BP [3]. - Overall, credit spreads in various sectors such as coal, steel, urban investment, non - urban investment, state - owned enterprises, and private enterprises showed an upward trend, while regional urban investment credit spreads showed mixed trends [25]. 2.2 Trading Volume Statistics - The total trading volume of credit bonds was 1521.829 billion yuan, a month - on - month increase of 8.40%. The top three types of credit bonds in terms of trading volume were commercial bank bonds, corporate bonds, and medium - term notes. Specifically, the trading volume of commercial bank bonds was 506.172 billion yuan (an 8.35% month - on - month increase, accounting for 33.26%); corporate bonds was 398.637 billion yuan (an 8.05% month - on - month increase, accounting for 26.19%); medium - term notes was 362.973 billion yuan (a 19.35% month - on - month increase, accounting for 23.85%) [4][27]. 2.3 Actively Traded Bonds This Week - The report selected the top 20 urban investment bonds, industrial bonds, and financial bonds in terms of trading volume this week for investors' reference [29].

行业及公司评级体系 | | 评级 | 说明 | | --- | --- | --- | | 行 | 买入 | 未来 6-12 个月的投资收益率领先市场基准指数 15%以上 | | 业 | 增持 | 未来 6-12 个月的投资收益率领先市场基准指数 5%至 15%； | | 及 | | | | 公 | 中性 | 未来 6-12 个月的投资收益率与市场基准指数的变动幅度相差-5%至 5%； | | 司 | 减持 | 未来 6-12 个月的投资收益率落后市场基准指数 5%至 15%； | | 评 | 卖出 | 未来 6-12 个月的投资收益率落后市场基准指数 15%以上； | | 级 | | | | | 无评级 | 因无法获取必要的资料，或者公司面临无法预见结果的重大不确定性事件，或者其他原因，致使无法给出明确的投资评级。 | | | 基准指数说明： | A 股市场基准为沪深 300 指数；香港市场基准为恒生指数；美国市场基准为纳斯达克综合指数或标普 500 指数。 | 分析、估值方法的局限性说明 本报告所包含的分析基于各种假设，不同假设可能导致分析结果出现重大不同。本报告采用的各种估值方法及模型均有其局限性，估值 ...

Group 1: Market Conditions - From January 12 to January 16, 2026, the CSI Convertible Bond Index rose by +1.08% (last week's increase was +4.45%), and the CSI All-Share Index changed by +0.47% (last week's increase was +5.04%). Since 2026, the CSI Convertible Bond Index has risen by +5.57%, and the CSI All-Share Index has risen by +5.54% [1] - By bond rating, high-rated bonds (AAA), medium-high-rated bonds (AA+), medium-rated bonds (AA), medium-low-rated bonds (AA-), and low-rated bonds (AA- and below) rose by -1.17%, +0.45%, +0.90%, -0.01%, and -0.68% respectively this week, with medium-rated bonds having the highest increase [1] - By convertible bond scale, large-scale convertible bonds (bond balance > 2 billion yuan), medium-large-scale convertible bonds (balance between 1.5 and 2 billion yuan), medium-scale convertible bonds (balance between 1 and 1.5 billion yuan), small-medium-scale convertible bonds (balance between 0.5 and 1 billion yuan), and small-scale convertible bonds (balance < 0.5 billion yuan) rose by -1.14%, +2.24%, +1.78%, -0.57%, and -0.07% respectively this week, with medium-large-scale convertible bonds having the highest increase [2] - By conversion parity, ultra-high parity bonds (conversion value > 130 yuan), high parity bonds (conversion value between 120 and 130 yuan), medium-high parity bonds (conversion value between 110 and 120 yuan), medium parity bonds (conversion value between 100 and 110 yuan), medium-low parity bonds (conversion value between 90 and 100 yuan), low parity bonds (conversion value between 80 and 90 yuan), and ultra-low parity bonds (conversion value < 80 yuan) rose by -1.39%, -1.40%, -0.52%, +0.60%, +0.08%, -0.35%, and -0.97% respectively this week, with medium parity bonds having the highest increase [2] Group 2: Convertible Bond Price, Parity, and Conversion Premium Ratio - As of January 16, 2026, there were 396 outstanding convertible bonds (398 at the end of last week), with a balance of 548.444 billion yuan (551.501 billion yuan at the end of last week) [3] - The average convertible bond price was 137.71 yuan (137.03 yuan at the end of last week), with a percentile of 99.59% (from the beginning of 2023 to January 16, 2026) [3] - The average convertible bond parity was 106.52 yuan (104.54 yuan at the end of last week), with a percentile of 98.64% [3] - The average convertible bond conversion premium ratio was 33.01% (32.80% at the end of last week), with a percentile of 44.35% [3] Group 3: Convertible Bond Performance and Allocation Direction - The convertible bond market rose this week. Under the current supply-demand pattern of convertible bonds, the driving effect of the underlying stocks is expected to be strong, and the valuation may still have upward room. It is recommended to select bonds carefully, comprehensively judge based on convertible bond terms and underlying stock conditions, and pay attention to industries catalyzed by policies and industries with high prosperity [4] Group 4: Top 15 Convertible Bonds by Increase This Week | Rank | Convertible Bond Name | Underlying Stock Name | Industry | Latest Closing Price (Yuan) | Convertible Bond Increase (%) | Underlying Stock Increase (%) | | --- | --- | --- | --- | --- | --- | --- | | 1 | Jin05 Convertible Bond | Jinpan Technology | Power Equipment | 198.89 | 26.44 | 1.07 | | 2 | Huayi Convertible Bond | Feikang Haojing | Pharmaceutical Biology | 263.55 | 24.20 | 22.98 | | 3 | Dingjie Convertible Bond | Dingjie Shuzhi | Computer | 236.00 | 23.72 | 15.74 | | 4 | Haohan Convertible Bond | Haohan Shendu | Computer | 196.17 | 22.35 | 30.57 | | 5 | Jingce Zhuan2 | Jingce Electronics | Machinery and Equipment | 254.00 | 21.95 | 26.69 | | 6 | Weice Convertible Bond | Weice Technology | Electronics | 285.73 | 21.88 | 20.31 | | 7 | Taifu Convertible Bond | Taifu Quanye | Machinery and Equipment | 177.28 | 19.54 | 8.96 | | 8 | Jiaoxi Convertible Bond | Jiaoxi Electronics | Electronics | 246.66 | 19.06 | 24.43 | | 9 | Anji Convertible Bond | Anji Technology | Electronics | 294.89 | 18.21 | 12.69 | | 10 | Huicheng Convertible Bond | Huicheng Co., Ltd. | Electronics | 339.18 | 18.02 | 23.16 | | 11 | Dinglong Convertible Bond | Dinglong Co., Ltd. | Electronics | 278.71 | 17.35 | 6.95 | | 12 | Lanxiao Zhuan02 | Jianyuan Technology | Basic Chemicals | 179.47 | 16.92 | 9.06 | | 13 | Chaoda Convertible Bond | Chaoda Equipment | Automobile | 179.00 | 15.30 | 4.94 | | 14 | Dianhua Convertible Bond | Xiangtan Electrochemical | Power Equipment | 178.47 | 15.29 | -0.14 | | 15 | Jingda Convertible Bond | Jingda Co., Ltd. | Power Equipment | 530.61 | 14.35 | 4.55 | [17]

Core Insights - The report highlights a differentiated recovery in consumer spending, emphasizing structural opportunities within the service sector, particularly in dining, education, and travel industries [3][5]. Group 1: Sector Review - The consumer confidence index in China has shown a slight recovery, but consumer willingness remains cautious, with a notable increase in savings and a decline in credit consumption [9][10]. - Service consumption is growing significantly faster than goods consumption, with a widening gap in growth rates, indicating a shift towards experience and service-oriented spending [21][25]. - Lower-tier cities are outperforming higher-tier cities in terms of consumption growth, driven by rising disposable incomes and stable property values [28][35]. Group 2: Dining Sector - The dining sector is experiencing a weak recovery, with a focus on cost-effectiveness and freshness. Recommendations include high-value brands like Xiaocaiyuan and Guming, as well as industrialized tea brands like Mixue [5][73]. - The average dining price has been under pressure, with a decline from 85 yuan in October 2023 to 73 yuan in November 2025, reflecting a shift towards more affordable dining options [72][76]. - The market share is increasingly concentrated among leading dining enterprises, with the revenue share of large-scale dining businesses rising from 20.2% in 2019 to 28.6% in 2025 [72][73]. Group 3: Education Sector - The education sector is witnessing strong demand, with improved competitive dynamics and reduced uncertainty due to clearer policies. Key players include TAL Education and Xueda Education, which leverage AI capabilities [5]. Group 4: Travel and Hospitality Sector - The domestic leisure travel market is growing, with inbound tourism contributing to incremental growth. Recommendations include focusing on scenic areas with strong operational capabilities like Emei Mountain and Changbai Mountain [5]. - The hotel sector is seeing a gradual recovery, with mid-to-high-end hotels performing better than budget hotels. The average daily rate (ADR) for high-end hotels has returned to pre-pandemic levels [60][63].