基本内容 中央经济工作会议通稿在总基调和核心内容上与本周初的政治局会议基本一致，但篇幅更长、增量信息更多；同时， 对比去年和今年的会议通稿，我们又可以看到诸多变化。 风险提示 1）经济目标、赤字率、特别国债、专项债等数字安排需要到明年两会期间发布，当前评估尚存在不确定性；2）外部 环境仍然复杂多变，可能给国内经济工作重心和政策节奏带来扰动。 敬请参阅最后一页特别声明 1 扫码获取更多服务 中央经济工作会议通稿在总基调和核心内容上与本周初的政治局会议基本一致，但篇幅更长、增量信息更多；同时， 对比去年和今年的会议通稿，我们又可以看到诸多变化。 对形势评估更有信心。相比于往年，今年会议对于外部环境使用了"影响加深"这一相对中性的表述，去年会议则描 述为"不利影响加深"。今年对于内部问题指出"大多是发展中、转型中的问题，经过努力是可以解决的"，这一变化 呼应了今年中国在外交、经济、市场等方面的表现，也对应了防风险工作的顺位从去年的第五位降到今年的第八位。 财政政策更有定力。会议对财政政策"更加积极"的定调与去年一致，但细节更显定力。例如，指出"保持必要的" 财政赤字、债务规模和支出总量，去年则直接提出要"提高财政赤 ...

事件简评 12 月 11 日，公司公告称，为推进股权激励计划，公司于 12 月 11 日购买 814 万股股份，每股均价为 12.26 港元，总花费为 9977 万 港元，公司单日大额回购充分展现后续发展信心。 经营分析 Hilo 产品力逐渐得到验证，英美烟草促销力度持续加大。据 BAT2025 年业绩预告，日本市场上 BAT 积极推进线上线下营销活 动，产品品牌和性能引起消费者的强烈共鸣，来自传统卷烟和加热 烟草消费者的留存率约为 50%。高留存率直接验证 hilo 优秀的产 品力，为后续烟弹起量奠定坚实基础。据 BAT 官网，近期 hilo 于 波兰市场上大幅提高优惠力度，Hilo 器具加两包烟弹仅售 1 兹罗 提，Hilo Plus 器具加两包烟弹仅售 79 兹罗提。依托 BAT 完备的 销售网络和足够的营销资源，后续 Hilo 烟弹销售有望持续放量， 为思摩尔贡献核心盈利增量。 核心雾化业务持续修复，有望持续受益于欧美市场扩容。2024 年 以来，美国监管部门持续加大对非法电子烟的打击力度，非法产品 的生存空间受到严重挤压。且 FDA 官方表态谨慎支持扩大调味烟 范围，合规市场有望持续扩容。英法等国已 ...

Report Summary 1. Industry Investment Rating No industry investment rating is provided in the given content. 2. Core Viewpoints - The report tracks the supply and trading of local government bonds, including the primary supply rhythm and secondary trading characteristics [9][20]. 3. Summary by Directory I. Local Government Bond Supply and Trading Tracking 1. Primary Supply Rhythm - From December 1st to 5th, 2025, local government bonds issued a total of 108.7 billion yuan, including 39 billion yuan in new special bonds and 17 billion yuan in refinancing special bonds [9]. - "Ordinary/Project Revenue" and "Repayment of Existing Debts" are the main investment areas for special bond funds [9]. - As of December 5th, 2025, 1.1 billion yuan of special refinancing special bonds have been issued in December, accounting for 30.5% of the monthly local bond issuance scale [9]. - The average issuance interest rate of local bonds has increased marginally. The spreads between the issuance interest rates of 30 - year, 20 - year, and 10 - year local bonds and the same - term treasury bonds have widened to 23.6BP, 24.5BP, and 19.2BP respectively [16]. - In December, Tianjin, Shandong, Shaanxi and other provinces are the main regions for local bond issuance. The issuance scale of local bonds within 7 years in Tianjin reached 19.05 billion yuan, and the average coupon rate of local government bonds in Henan is close to 2.5% [19]. 2. Secondary Trading Characteristics - Last week, the 7 - 10 - year and over - 10 - year local bond indices fell 0.27% and 0.69% respectively month - on - month, with the decline similar to that of the same - term credit bonds [20]. - The trading activity of Henan government bonds increased, with a week - on - week increase of 123 transactions, while the trading volume of Jiangxi local bonds decreased significantly [20]. - The average trading terms of Liaoning and Jilin government bonds have been significantly extended, reaching 24.0 years and 24.2 years respectively, an increase of 11.0 years and 12.2 years compared to last week. The average trading yields of Henan, Hebei, and Guangdong government bonds rose to around 2.4% [22].

公司亮点 公司为我国美护行业领先企业，旗下拥有在护肤、婴童护理、洗护 等赛道的多品牌矩阵。公司以线上渠道为主，25H1 线上占比接近 93%，近两年主品牌韩束发力抖音渠道实现快速破圈，2024 年实现 收入 55.91 亿元，同比增长 80.90%，占比超 82%，25H1 营收同增 14.3%至 33.44 亿元。新品牌如一页快速破圈，23/24 全年/25H1 增 速分别为 498%/146%/147%。复盘公司发展的历程，我们认为公司 多品牌拓展方法论与运动龙头安踏体育有几个主要相似之处： 1)市场化主导。公司旗下品牌定位精准，可以快速发掘消费者痛 点，推出针对性产品的同时进行魄力营销，绑定顶流 IP，助力品 牌快速破圈。主品牌韩束成功后将这一方法论推广到其他品牌。 2)渠道精细化运营趋势。随着内容电商成为化妆品消费的核心场 景，公司以抖音为核心重构渠道战略，通过创新营销玩法与提升自 播比例等精细化运营，实现收入与利润的双高增长。 3)人才内部输血+合理引才。公司通过自主培养+外部引才双轨并 进的方式保障核心管理人才的稳健，同时通过人才妥善委任为旗 下各品牌的差异化发展提供坚实保障。 投资逻辑 我们充分 ...

Report Summary 1. Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Viewpoints - Among the bonds with discounted transactions, "25 Yungang Y4" had a large deviation in the valuation price. Among the bonds with rising net prices, "25 Datong C3" had a relatively high deviation in the valuation price. Among the Tier 2 and perpetual bonds with rising net prices, "22 Bank of Communications Tier 2 Capital Bond 02B" had a large deviation in the valuation price; among the commercial financial bonds with rising net prices, "25 Agricultural Bank of China TLAC Non - capital Bond 02C(BC)" had a relatively high deviation in the valuation price. Among the bonds with a transaction yield higher than 5%, real - estate bonds ranked high [2]. - The changes in the valuation yield of credit bonds were mainly distributed in the [-5,0) interval. The transaction terms of non - financial credit bonds were mainly distributed between 2 and 3 years, with the highest proportion of discounted transactions for varieties within 0.5 years. The transaction terms of Tier 2 and perpetual bonds were mainly distributed between 4 and 5 years, with the highest proportion of discounted transactions for varieties within 1 year. In terms of industries, bonds in the national defense and military industry had the largest average deviation in valuation prices [2]. 3. Summary by Relevant Charts Chart 1: Discounted Transaction Tracking - The table listed 30 bonds with large discounts, including "25 Yungang Y4", "25 Dongfang K1", etc., with information on the remaining term, valuation price deviation, valuation net price, valuation yield deviation, and transaction scale. The industries involved included transportation, non - financial finance, and urban investment [4]. Chart 2: Tracking of Bonds with Rising Net Prices - The table showed 43 bonds with large positive deviations, such as "25 Datong C3", "25 Raofa 02", etc. It provided details on the remaining term, valuation price deviation, valuation net price, valuation yield deviation, and transaction scale. The industries included non - financial finance, comprehensive, and public utilities [6]. Chart 3: Tracking of Tier 2 and Perpetual Bond Transactions - The table presented 40 Tier 2 and perpetual bonds, including "22 Bank of Communications Tier 2 Capital Bond 02B", "22 Industrial and Commercial Bank of China Tier 2 Capital Bond 04B", etc., with information on the remaining term, valuation price deviation, valuation net price, valuation yield deviation, bank classification, and transaction scale [7]. Chart 4: Tracking of Commercial Financial Bond Transactions - The table listed 29 commercial financial bonds, such as "25 Agricultural Bank of China TLAC Non - capital Bond 02C(BC)", "24 Agricultural Bank of China TLAC Non - capital Bond 01B(BC)", etc., providing details on the remaining term, valuation price deviation, valuation net price, valuation yield deviation, bank classification, and transaction scale [8]. Chart 5: Bonds with a Transaction Yield Higher than 5% - The table showed 20 bonds with a high - yield transaction, including "21 Vanke 06", "23 Vanke 01", etc., with information on the remaining term, valuation price deviation, valuation net price, valuation yield deviation, and transaction scale. The industries involved included real estate, steel, and non - financial finance [10]. Chart 6: Distribution of Valuation Deviations in Credit Bond Transactions on the Day - The chart showed the distribution of changes in the valuation yield of credit bonds on the day, with the intervals [-10,-5), [-5,0), (0,5], and (5,10], and the number of bonds and transaction scale in each interval [13]. Chart 7: Distribution of Transaction Terms of Non - financial Credit Bonds on the Day - The chart presented the distribution of transaction terms of non - financial credit bonds on the day, including intervals such as within 0.5 years, 0.5 - 1 year, etc., and the corresponding transaction scale [15]. Chart 8: Distribution of Transaction Terms of Tier 2 and Perpetual Bonds on the Day - The chart showed the distribution of transaction terms of Tier 2 and perpetual bonds on the day, including intervals such as within 1 year, 1 - 1.5 years, etc., and the corresponding transaction scale [18]. Chart 9: Discounted Transaction Ratio and Transaction Scale of Non - financial Credit Bonds in Each Industry - The chart displayed the average valuation price deviation and transaction scale of non - financial credit bonds in various industries, including petroleum and petrochemicals, real estate, etc. The national defense and military industry had the largest average valuation price deviation [20].

Report Industry Investment Rating No information provided. Core Viewpoints - Economic growth shows cost reduction and widespread decline in steel prices, with production - related indicators such as power plant daily consumption, blast furnace operation rate, tire operation rate, and loom operation rate showing different trends; demand - side data for real estate, automobiles, steel, cement, glass, and shipping also vary [1][4]. - Inflation is characterized by the agricultural product price index being higher than in recent years, with different price trends for various agricultural products; PPI shows weak oil prices, and different trends for copper and aluminum prices [2][4]. Summary by Directory 1. Economic Growth: Cost Reduction and Widespread Decline in Steel Prices 1.1 Production: Seasonal Increase in Power Plant Daily Consumption - **1.1.1 Production End: Seasonal Increase in Power Plant Daily Consumption** - On December 9, the average daily consumption of 6 major power - generation groups was 79.7 tons, a 2.3% increase from December 2; on December 2, the daily consumption of power plants in eight southern provinces was 190.8 tons, a 3.9% increase from November 25. Heating demand in the north boosts power consumption, but demand in non - power industries has limited growth [4][12]. - **1.1.2 Production End: Overall Decline in Blast Furnace Operation Rate** - On December 5, the national blast furnace operation rate was 80.1%, a 0.9 - percentage - point decrease from November 28; the capacity utilization rate was 87.1%, also a 0.9 - percentage - point decrease. However, the blast furnace operation rate of Tangshan steel mills increased by 2.4 percentage points. Heavy - pollution response measures and weakening demand in the off - season led to the decline [4][17]. - **1.1.3 Production End: Slight Recovery in Tire Operation Rate** - On December 4, the operation rate of all - steel truck tires was 63.5%, a 0.2 - percentage - point increase from November 27; the operation rate of semi - steel car tires was 70.9%, a 1.7 - percentage - point increase. The loom operation rate in the Jiangsu - Zhejiang region continued to decline [4][20]. 1.2 Demand: Cost Reduction and Widespread Decline in Steel Prices - **1.2.1 Demand End: Improved Monthly - on - Monthly New Home Sales in 30 Cities** - From December 1 - 9, the average daily sales area of commercial housing in 30 large - and medium - sized cities was 256,000 square meters, a 42.0% increase from November, but a decline compared to the same period in previous years. Sales in first - tier, second - tier, and third - tier cities all decreased year - on - year [4][25]. - **1.2.2 Demand End: Weak Growth in Automobile Retail Sales** - In December, retail sales decreased by 32% year - on - year, and wholesale sales decreased by 40% year - on - year. The low growth was due to high sales in December last year and the weakening impact of the trade - in policy [4][29]. - **1.2.3 Demand End: Widespread Decline in Steel Prices** - On December 9, the prices of rebar, wire rod, hot - rolled coil, and cold - rolled coil decreased by 2.4%, 2.1%, 2.7%, and 0.5% respectively compared to December 2. Steel inventory reduction accelerated [4][34]. - **1.2.4 Demand End: Moderate Increase in Cement Prices** - On December 9, the national cement price index increased by 0.4% compared to December 2, with prices in the East China and Yangtze River regions performing better. However, price increases were difficult to implement due to high inventory in some areas. The year - on - year decline in cement prices narrowed [4][35]. - **1.2.5 Demand End: Glass Prices Reached a New Low in the Second Half of the Year** - On December 9, the active glass futures contract price was 985 yuan/ton, a 5.2% decrease from December 2. Weak demand and high inventory were the main reasons [4][40]. - **1.2.6 Demand End: Container Shipping Freight Index Turned Down Again** - On December 5, the CCFI index decreased by 0.6% and the SCFI index decreased by 0.4% compared to November 28. Weak market demand and expanding container ship capacity dragged down freight rates [4][44]. 2. Inflation: Agricultural Product Price Index Higher than in Recent Years 2.1 CPI: Agricultural Product Price Index Higher than in Recent Years - **2.1.1 Pork Prices Rose and Then Fell** - On December 9, the average wholesale price of pork was 17.6 yuan/kg, a 0.1% decrease from December 2. The pressure came from the concentrated slaughter at the end of the year. The month - on - month decline widened [4][49]. - **2.1.2 Agricultural Product Price Index Higher than in Recent Years** - On December 9, the agricultural product wholesale price index increased by 1.1% compared to December 2. Different agricultural products had different price trends. The year - on - year and month - on - month increases in the agricultural product price index were 6.0% and 2.4% respectively [4][55]. 2.2 PPI: Weak Oil Prices - **2.2.1 Oil Prices Weakened** - On December 9, the spot prices of Brent and WTI crude oil were $62.8 and $58.3 per barrel respectively, a 2.2% and 0.7% decrease from December 2. Oversupply expectations and weakening geopolitical support led to the decline [4][58]. - **2.2.2 Copper Prices Rose and Aluminum Prices Fell** - On December 9, the prices of LME 3 - month copper and aluminum increased by 3.0% and decreased by 0.7% respectively compared to December 2. The domestic commodity index showed different trends in month - on - month changes [4][63]. - **2.2.3 Most Industrial Product Prices Declined Month - on - Month** - Since December, most industrial product prices declined month - on - month, with coking coal and coke having the largest declines. The year - on - year decline in most industrial product prices narrowed, except for cold - rolled sheet and glass [4][65].

Report Industry Investment Rating - Not provided in the content Core Viewpoints - The subscription sentiment for new science and technology innovation bonds has cooled. The supply scale of the primary market has decreased, and its anti - decline ability is being tested. When selecting bonds, it is advisable to choose individual bonds with high liquidity and strong credit support and wait for more attractive valuation points [2][4] Summary by Directory 1. Primary Issuance Scale and Structure - The subscription sentiment for new science and technology innovation bonds has cooled. Due to the rise in bond market interest rates, the financing cost of issuance subjects has increased. This week (December 1 - 5, 2025), the primary market supply scale reached 45.54 billion yuan, a significant decline from the previous two weeks. Affected by specific risk events and year - end market caution, the subscription sentiment has continued to cool, but the reading is still higher than that of non - science and technology general credit bonds [2][12] 2. Secondary Trading Activity and Pricing - **Rating and Industry Distribution**: The ratings of outstanding science and technology innovation bonds are highly concentrated. Bonds with an implied rating of AA+ and above account for 72.6%, and AA - rated medium - quality individual bonds account for 23.1%, reflecting the financing needs of some small and medium - sized science and technology innovation entities. The industry distribution is dominated by traditional industries, with the bond quantity of industries such as building decoration, public utilities, and comprehensive accounting for 37.4%. Textile and apparel, pharmaceutical biology, power equipment, and communication industries have an excess spread of over 13bp compared to the overall credit bonds of the industry [3][19] - **Liquidity**: Driven by the active trading of science and technology innovation bond ETFs this week, the number of transactions of science and technology innovation bonds has increased to 724, far exceeding the weekly average of 400 since November. However, the weekly turnover rate of science and technology innovation bonds has dropped to 1.2%, and the liquidity is weaker than the overall general credit bonds [3][28] - **Yield and Price Comparison**: The anti - decline ability of science and technology innovation bonds is being tested. Last week, the average weekly trading yield of 1 - 3 - year exchange - traded science and technology innovation bonds increased by 6.8bp compared to the previous week, with a stronger adjustment amplitude than general credit bonds of the same term. The reasons for the large retracement are the weakening of demand - side support and the partial erasure of the premium advantage. In terms of the internal price comparison of science and technology innovation bonds, the spread between the index component bonds and non - component bonds has been stable at 10 - 15bp in the past two weeks, and the spread between the inter - bank variety and the component bonds is basically within 5bp. For the 1 - 3 - year variety, there is still a compression space of 24bp [4][34]

- The report tracks the performance of high-frequency stock selection factors, including Price Range Factor, Price-Volume Divergence Factor, Regret Avoidance Factor, and Slope Convexity Factor. These factors are evaluated based on their excess returns and predictive capabilities[2][3][11] - **Price Range Factor**: This factor measures the activity of stock transactions in different price ranges during the day, reflecting investors' expectations for future stock trends. It includes sub-factors such as high-price range transaction volume (VH80TAW), high-price range transaction count (MIH80TAW), and low-price range average transaction volume (VPML10TAW). The factor shows a strong predictive effect and stable performance this year[3][12][14] - **Price-Volume Divergence Factor**: This factor evaluates the correlation between stock prices and trading volumes. A lower correlation indicates a higher likelihood of future price increases. Sub-factors include price-to-transaction count correlation (CorrPM) and price-to-volume correlation (CorrPV). The factor has shown relatively stable performance this year, despite a declining trend since 2020[3][20][22] - **Regret Avoidance Factor**: Based on behavioral finance, this factor examines the proportion and degree of stock price rebounds after being sold by investors. Sub-factors include sell-rebound proportion (LCVOLESW) and sell-rebound deviation (LCPESW). The factor demonstrates stable out-of-sample excess returns, indicating that regret avoidance sentiment significantly impacts stock price expectations[3][23][31] - **Slope Convexity Factor**: Derived from the elasticity of supply and demand, this factor uses order book data to calculate the slope and convexity of buy and sell orders. Sub-factors include low-level slope (Slope_abl) and high-level convexity (Slope_alh). The factor's performance has been relatively flat in recent years, with some fluctuations in recent weeks[3][32][35] - The report constructs two enhanced strategies: the "High-Frequency Gold" portfolio and the "High-Frequency & Fundamental Resonance" portfolio. The "High-Frequency Gold" portfolio combines the three high-frequency factors with equal weights, achieving an annualized excess return of 10.11% and an IR of 2.36. The "High-Frequency & Fundamental Resonance" portfolio integrates high-frequency factors with fundamental factors (e.g., consensus expectations, growth, and technical factors), achieving an annualized excess return of 14.21% and an IR of 3.39[3][39][44] - **Performance Metrics for High-Frequency Gold Portfolio**: Annualized return: 9.49%, Annualized volatility: 23.87%, Sharpe ratio: 0.40, Maximum drawdown: 47.77%, Annualized excess return: 10.11%, IR: 2.36, Maximum excess drawdown: 6.04%[40][43] - **Performance Metrics for High-Frequency & Fundamental Resonance Portfolio**: Annualized return: 13.66%, Annualized volatility: 23.49%, Sharpe ratio: 0.58, Maximum drawdown: 39.60%, Annualized excess return: 14.21%, IR: 3.39, Maximum excess drawdown: 4.52%[47][48]

Investment Rating - The report suggests a positive investment outlook for the commercial aerospace industry, particularly focusing on the opportunities presented by SpaceX's monopolistic position in launch services and the monetization path of the Starlink satellite constellation [2]. Core Insights - The core investment logic for the commercial aerospace sector in A-shares is to embrace the explosive growth period of satellite constellation infrastructure and to identify high-barrier component suppliers. China is currently in a phase similar to SpaceX's network-building period from 2018 to 2020. As the G60 and GW networks enter a dense launch phase, satellite manufacturing is transitioning from custom lab designs to mass production akin to automotive assembly lines. The most certain alpha returns in the industry will come from high-value, high-barrier core satellite components and payloads [2]. Summary by Sections 1. SpaceX Overview - SpaceX is not a traditional aerospace manufacturer but a monopolist in space logistics and infrastructure, applying first principles to disrupt conventional beliefs about rocket costs and single-use designs. It has created a self-reinforcing business loop by leveraging the unmatched launch cost advantages of Falcon 9 to build the largest space communications network, Starlink, and using the cash flow generated to fund ambitious projects like Starship [4]. 2. Competitive Advantages - **Cost Barriers**: SpaceX's reusability model has drastically reduced launch costs, with marginal costs dropping to nearly $15 million per launch, achieving gross margins of around 68% after five reuse cycles. This cost structure provides SpaceX with pricing power against traditional aerospace giants [4]. - **Manufacturing Barriers**: Over 80% of SpaceX's components are self-developed, allowing for rapid iteration and cost control through vertical integration. This strategy has transformed rocket manufacturing from a craft-based approach to an industrialized process [4]. - **Customer Barriers**: SpaceX has established a strategic symbiosis with the U.S. government, which has become a significant source of funding for its core R&D through long-term contracts, ensuring a reliable and cost-effective access to space [4]. 3. Growth Curves - SpaceX's value proposition should not be compared to traditional defense contractors but viewed as a combination of three distinct business life cycles: 1. The launch business as a cash cow with high market share and profitability. 2. The exponential growth of Starlink, transitioning from B2B to B2C services, characterized by recurring revenue similar to SaaS models. 3. The disruptive potential of Starship, which could unlock trillion-dollar markets in space tourism, intercontinental transport, and deep-space resource extraction [4]. 4. Financial Trajectory - SpaceX has seen its valuation soar from approximately $27 million at inception to nearly $200 billion, reflecting a growth of nearly 7400 times over two decades. The financing history shows a clear evolution from focusing on cheaper rockets to expanding into satellite internet and ambitious space exploration projects [29][30]. 5. Product Ecosystem - SpaceX's business model is built on a self-reinforcing loop, utilizing its launch market dominance to deploy Starlink satellites at internal marginal costs, thereby increasing competitive pressure on rivals. The combination of stable cash flow from launch services and the growing SaaS revenue from Starlink supports the overarching goal of funding Starship development [31][32].

Report Summary 1. Report Industry Investment Rating No information provided in the content. 2. Core View of the Report - Among the bonds with discounted transactions, "24 Zhonghua MTN004" had a relatively large deviation in valuation price; among the bonds with rising net prices, "25 ABC Tier 2 Capital Bond 01B(BC)" had a relatively large deviation in valuation price; among the second-tier perpetual bonds with rising net prices, "25 ABC Tier 2 Capital Bond 01B(BC)" had a relatively large deviation in valuation price; among the commercial financial bonds with rising net prices, "25 ABC TLAC Non-capital Bond 02C(BC)" had a relatively large deviation in valuation price. Real estate bonds ranked high among the bonds with a transaction yield higher than 5% [2]. - The changes in credit bond valuation yields were mainly distributed in the [-5,0) range. The transaction terms of non-financial credit bonds were mainly distributed between 2 and 3 years, with the highest proportion of discounted transactions in the 4 - 5 year variety; the transaction terms of second-tier perpetual bonds were mainly distributed between 4 and 5 years, with the highest proportion of discounted transactions in the within-1-year variety. In terms of industries, the bonds in the national defense and military industry had the largest average deviation in valuation price [2]. 3. Summary According to Relevant Catalogs 3.1 Discounted Transaction Tracking - The report tracked the discounted transactions of multiple bonds, including "24 Zhonghua MTN004" with a residual term of 28.65 years, a valuation price deviation of -0.34%, and a transaction volume of 18.58 million yuan; "24 Chanrong 08" with a residual term of 3.35 years, a valuation price deviation of -0.30%, and a transaction volume of 3.29 million yuan, etc. [4]. 3.2 Tracking of Bonds with Rising Net Prices - The report tracked the transactions of bonds with rising net prices, such as "25 ABC Tier 2 Capital Bond 01B(BC)" with a residual term of 9.53 years, a valuation price deviation of 0.29%, and a transaction volume of 539.4 million yuan; "25 ABC Tier 2 Capital Bond 02B(BC)" with a residual term of 9.63 years, a valuation price deviation of 0.27%, and a transaction volume of 916.26 million yuan [5]. 3.3 Tracking of Second-tier Perpetual Bond Transactions - The report tracked the transactions of second-tier perpetual bonds, including those of state-owned banks, joint-stock banks, and city commercial banks. For example, "25 ABC Tier 2 Capital Bond 01B(BC)" of state-owned banks had a residual term of 9.53 years, a valuation price deviation of 0.29%, and a transaction volume of 539.4 million yuan; "21 Industrial Bank Tier 2 03" of joint-stock banks had a residual term of 5.96 years, a valuation price deviation of 0.12%, and a transaction volume of 108.07 million yuan [7]. 3.4 Tracking of Commercial Financial Bond Transactions - The report tracked the transactions of commercial financial bonds, such as "25 ABC TLAC Non-capital Bond 02C(BC)" with a residual term of 9.66 years, a valuation price deviation of 0.17%, and a transaction volume of 48.68 million yuan; "25 Nanjing Bank Bond 01BC" with a residual term of 2.78 years, a valuation price deviation of 0.06%, and a transaction volume of 250.01 million yuan [8]. 3.5 Tracking of Bonds with a Transaction Yield Higher than 5% - The report tracked the bonds with a transaction yield higher than 5%, mainly including real estate and non-financial bonds. For example, "21 Vanke 02" in the real estate industry had a residual term of 0.12 years, a valuation price deviation of 22.72%, and a transaction volume of 25.76 million yuan; "23 Chanrong 04" in the non-financial industry had a residual term of 0.20 years, a valuation price deviation of -0.01%, and a transaction volume of 10.16 million yuan [9]. 3.6 Distribution of Credit Bond Transaction Valuation Deviations - The changes in credit bond valuation yields were mainly distributed in the [-5,0) range [2]. 3.7 Distribution of Non-financial Credit Bond Transaction Terms - The transaction terms of non-financial credit bonds were mainly distributed between 2 and 3 years, with the highest proportion of discounted transactions in the 4 - 5 year variety [2]. 3.8 Distribution of Second-tier Perpetual Bond Transaction Terms - The transaction terms of second-tier perpetual bonds were mainly distributed between 4 and 5 years, with the highest proportion of discounted transactions in the within-1-year variety [2]. 3.9 Proportion of Discounted Transactions and Transaction Volume of Non-financial Credit Bonds in Each Industry - The bonds in the national defense and military industry had the largest average deviation in valuation price [2].