Group 1 - The design plan for the second phase of Pingtan Wuyue Mansion has been publicly announced, marking the first practical implementation of the "good housing" construction initiative by the national and Fujian provincial government [1] - The project is set to enter the market in the second quarter of this year, aiming to provide residents with a better living experience [1] - The "Measures" issued by Pingtan last November include 17 targeted policy clauses that optimize planning management, addressing both public needs and business realities [1] Group 2 - The "Measures" specify that certain public facilities, such as wind and rain corridors and outdoor non-motor vehicle parking sheds, will not be included in the calculation of building area and density, benefiting both developers and residents [1] - The exemption from building area calculations alleviates development pressure on companies, allowing them to focus resources on creating high-quality communities that align with local living habits [1] - The "one certificate, multiple inspections" model in the "Measures" allows for phased acceptance of construction projects, significantly shortening the time from construction to delivery [2] Group 3 - This flexible management approach improves the efficiency of capital turnover for companies, enabling faster market entry for quality housing [2] - For homebuyers, this model reduces the waiting period for new homes, allowing for earlier occupancy and avoiding additional rental costs [2]

Core Viewpoint - The real estate market is shifting from a uniform price movement to a more fragmented and nuanced landscape, where individual property performance will vary significantly based on location and other factors [1][3]. Group 1: Price Dynamics - Housing prices are expected to diverge significantly, with core areas maintaining stability while less desirable locations may experience more frequent price adjustments [3][4]. - The disparity between listing prices and actual transaction prices will become more pronounced, emphasizing the importance of understanding real market dynamics rather than relying solely on advertised prices [6][8]. - The relationship between listing prices and transaction prices will become more complex, indicating that successful buyers will need to navigate an increasingly information-driven market [7][9]. Group 2: Living Quality and Buyer Behavior - The importance of a property's livability will increase, with buyers prioritizing comfort and practicality over potential price appreciation [11][14]. - The pace of home buying is expected to slow down, with buyers becoming more deliberate and cautious in their decision-making processes [13][14]. - Buyers will focus on practical considerations such as commuting distance, convenience, and maintenance costs, leading to a more thoughtful approach to purchasing [13][14]. Group 3: Market Sentiment and Decision-Making - The emotional volatility in the housing market is likely to decrease, resulting in a more stable environment where price adjustments occur gradually [14][16]. - Understanding these changes in buyer behavior and market dynamics is crucial for making informed decisions in the evolving real estate landscape [16][17].

Core Viewpoint - The real estate market in China is experiencing a significant downturn, with predictions that housing prices will decrease to levels affordable for the average worker, as previously stated by influential figures like Jack Ma and Cao Dewang [1][3][4]. Group 1: Market Trends - Since 2022, the national housing market has entered a downward trend, affecting both second and first-tier cities, with 26 key cities seeing prices revert to levels from two years prior by the end of 2024 [3][4]. - In some third and fourth-tier cities, housing prices have plummeted to as low as a few hundred yuan per square meter, a scenario unimaginable a decade ago [3][4]. - The supply of housing has significantly outpaced demand, with over 600 million housing units available, far exceeding the total number of households in the country [4]. Group 2: Economic Implications - The decline in housing prices is attributed to a slowing population growth, with a notable decrease in the primary home-buying demographic (ages 25-40) [4][9]. - In 2025, the national sales area of commercial housing dropped by 6.8%, and sales revenue fell by 9.6%, indicating a surplus of listings in the second-hand market, exceeding 8.5 million units [4][6]. Group 3: Investment Perspectives - Both Jack Ma and Cao Dewang emphasize that housing should be viewed as a necessity rather than an investment, advising against purchasing multiple properties for investment purposes [6][7][9]. - The current economic climate suggests that saving money or diversifying investments may be a more prudent choice than investing heavily in real estate, which is facing long-term downward pressure [6][9]. Group 4: Policy Responses - Local governments are implementing various measures to stabilize the housing market, such as lowering down payment ratios and mortgage rates, but these short-term policies do not address the fundamental issues of declining demand and increasing supply [6][9].

Group 1 - The core event is a significant transaction where Shenzhen's state-owned enterprise, Shenhuaitong, acquired a 26-story apartment in the Baishizhou area for a total price of 700 million yuan, translating to a unit price of 37,000 yuan per square meter [3][7][8] - Shenhuaitong Investment Holding Group Co., Ltd. was established in 1997 and has a registered capital of 15.63 billion yuan, fully owned by the Shenzhen Nanshan District State-owned Assets Supervision and Administration Commission [3][9] - The Baishizhou project, where the transaction took place, is part of a larger urban redevelopment initiative, transforming the area from a traditional village into a high-end residential zone, reflecting a broader trend in Shenzhen's real estate development [4][11] Group 2 - The Baishizhou project consists of multiple buildings, including three residential towers and two apartment buildings, with a total of 1,257 residential units and 1,489 apartment units [4] - The acquisition by a state-owned entity is seen as a confidence booster for the local real estate market, especially as residential prices in the area are reported to be at least 80,000 yuan per square meter [5]

Core Viewpoint - The Shenzhen real estate market is showing signs of recovery, with the successful sale of the first affordable housing project of the year, indicating strong demand and interest from homebuyers [1][3][6]. Group 1: Affordable Housing Market - The Shenzhen affordable housing project, Shen Tie Ming Zhu, released 181 units, which were all sold on the same day, achieving a subscription ratio of 1:3.6 with 662 qualified families applying [3][6]. - The average selling price for the project was 20,750 yuan per square meter, with the main unit types being 68 square meters for two-bedroom apartments and 86-88 square meters for three-bedroom apartments [3][6]. Group 2: Overall Real Estate Market Performance - In January, over 10,000 new and second-hand homes were signed, with second-hand home transactions increasing by 25% year-on-year and 7% month-on-month, indicating a steady upward trend in the market [5][8]. - The market is experiencing a significant increase in the supply of quality new projects, with notable sales performance from various developments, including the successful sales of projects like Zhongxin Xinyue Bay and Houhai Xijia Garden [6][8]. Group 3: Commercial Real Estate Trends - The transaction volume of commercial properties is also rising, with new commercial properties accounting for 35.5% of new home sales and second-hand commercial properties making up 20.5% of second-hand sales, reflecting a recovery in this segment [7]. - Small-sized apartments in prime locations are gaining popularity due to their lower entry costs and high rental yields, appealing to both self-occupiers and investors [7]. Group 4: Market Support Factors - The real estate market is supported by favorable policies, including reduced transaction costs and adjustments in commercial property loan requirements, which are expected to stimulate demand [8]. - Shenzhen's GDP growth of 5.5% in 2025 and the resilience of its economic fundamentals are anticipated to enhance residents' employment and income expectations, further boosting the real estate market [8].

2026年刚开年，各路大佬又开始了对楼市的新一轮"预言大会"。有人说要反弹，有人说还得跌，有人说"横盘稳着走"。 听多了是不是会更迷糊？ 那好吧，本期内容，我们不说虚的、不玩概念，就用踏踏实实的数据，把2026年楼市可能的走向，真话或许不中听，但往往最值钱。 01、房子没卖多少，"惜售"房东却变多了 不知道你注意到没有，最近二手房挂牌量好像没有以前那么"汹涌"了。 一组比较有趣的数据是，一般3-4月、9-10月是新挂牌房源的小高峰，早就成了一种定局，但是有意思的是，有些挂了很久还没有卖掉的"老房源"正在慢慢 的减少，是不是都卖了？ 不是！是很多房东自己主动撤牌了，他们之所以不想挂，原因其实不难理解。 有的挂了一半多不卖了，干脆直接下架观望一下；有的被中介或者身边人劝着以为"很快就会有回暖"…… 这种情绪，就叫"惜售情绪"，很像股市里"筹码被锁住了"的感觉，卖的人暂时不想卖，买的人在等。 再看需求端：买房的人气不爆，但也没断崖下跌，基本处于一个中间线，两边一对比，房源在减少，买家在犹豫，供需天平正在发生很微妙的倾斜。 市场还没热，但情绪已经在悄悄变化。 02、租售比2.47%，楼市触底了吗？ 咱们拿香港做一下参 ...

Core Insights - In January 2026, the top 100 real estate companies in China reported a total sales revenue of 190.52 billion yuan, a year-on-year decrease of 18.9% [1] - The equity sales amount for the same group was 132.14 billion yuan [1] - The top ten companies by sales included Poly Developments, China Overseas Land, and China Resources Land, with only Poly, China Overseas, and China Resources exceeding 10 billion yuan in sales for the month [1] Sales Performance - The average sales revenue for the top 10 companies was 9.33 billion yuan, down 11.6% year-on-year [2] - Companies ranked 11-30 had an average sales revenue of 2.6 billion yuan, a decline of 25.6% [2] - Companies ranked 31-50 reported an average sales revenue of 1.03 billion yuan, down 21.0% [2] Market Dynamics - The decline in sales is attributed to the high base from January of the previous year when the market was more active due to policy changes [5] - The real estate industry is undergoing an adjustment, with a shift from "scale competition" to "quality competition," leading to resource concentration among stronger companies [5] - In January 2026, 32 companies among the top 100 reported year-on-year sales growth, with 10 companies experiencing growth exceeding 100% [5] Market Trends - The new housing market showed weak performance in January, while the second-hand housing market demonstrated notable growth, with transaction volumes increasing by 33% year-on-year [6] - The central government has been signaling stability in market expectations, emphasizing the importance of managing expectations to stabilize the real estate market [6] - Recent policy measures include lowering the down payment ratio for commercial property loans and adjusting monetary policy tools [6] Future Outlook - As the Chinese New Year approaches, real estate companies are expected to increase marketing efforts, which may sustain some activity in core city markets [7] - There are ongoing challenges for companies to convert financial restructuring into sustainable operational capabilities [7]

百强房企1月卖房"成绩单"出炉。 2026年开年，百强房企1月卖房"成绩单"出炉。 1月31日，中指研究院发布数据显示，2026年1月，TOP100房企销售总额为1905.2亿元，同比下降18.9%；同期，TOP100房企权益销售额为1321.4亿元。 房企销售金额前十依次为：保利发展、中海地产、华润置地、绿城中国、中旅投资、招商蛇口、中国金茂、建发房产、万科、滨江集团，其中仅保利、中 海、华润单月销售过百亿。 对比上年同期，房企销售位次已经发生了较大变化。头部房企中，保利、中海、华润、绿城的顺序未变，但万科从上年1月的第5位，下滑至今年1月的第9 位。中旅投资短期内成为"黑马"，闯到今年1月房企全口径销售榜第5位。 TOP10随后的房企中，招商蛇口、建发房产、滨江集团变化不大、依然位列其中，但是华发股份从去年1月的第6位降至今年1月的第18位，同期中国铁建 从第10位降至第13位，中国金茂则从去年1月的第13位升至今年1月的第7位。 克而瑞数据显示，1月全国重点50城市新建商品住宅成交面积约810万平方米，表现较为清淡，新房市场整体进入淡季；同期，重点13城市二手房成交面积 约810万平方米，环比上升16% ...

证券研究报告|固收点评报告 [Table_Date] 2026 年 1 月 31 日 [Table_Title] 二手房挂牌价回暖 [Table_Title2] able_Summary] 地产周速达 1）周度：二手房成交同比表现持续强劲 二手房市场成交维持高位震荡，同比表现持续强劲。二手房市场活跃度在经历前两周的连续攀升后回调， 本周（1 月 23-29 日）15 城二手房成交面积录得 235 万平，环比小幅下滑 8%，成交规模仍处于过去四周 214 万-256 万平区间，持平于 12 月周均成交 235 万平，显示二手房市场相对平稳。同比维度上，继上周成交增长 10%并终结连续十四周的下跌态势后，本周因去年同期为春节周的低基数效应，同比大增 150%；剔除春节错 位影响，与 2024 年同期相比亦录得 22%的增长。 新房市场受月末效应提振，创年后新高，但复苏成色仍待观察。本周 38 城新房成交面积录得 225 万平， 环比增长 21%，或主要受月末房企集中冲量效应驱动，绝对量虽创下元旦后新高，但仍明显低于 12 月的 263 万-524 万平。同比维度上，受去年春节低基数影响，本周新房成交录得 51%的 ...

1. Report Industry Investment Rating No information provided in the content. 2. Core Viewpoints of the Report - Interest rates are fluctuating narrowly, credit bond yields have slightly declined, and most credit spreads are still narrowing. [3][9] - Most urban investment bond spreads have decreased by 1 - 2BP. [14] - Real - estate bond spreads are still widening, while most other industrial bond spreads are converging. [25] - This week, Tier 2 and perpetual bonds (Two - and - Perpetual bonds, "Two - and - Perpetual" bonds refer to bank Tier 2 capital bonds and perpetual bonds) have shown weak performance. Except for the 5Y variety, most yields have increased. [4][33] - The excess spread of 3Y industrial perpetual bonds has narrowed, while the excess spread of urban investment bonds has shown differentiation. [4][36] 3. Summary According to Relevant Catalogs 3.1 Interest rates are fluctuating narrowly, credit bond yields have slightly declined, and most credit spreads are still narrowing - Interest - rate bond yields fluctuated narrowly. The yields of 1Y and 10Y China Development Bank bonds increased by 1BP, the yield of 3Y decreased by 1BP, and the yields of 5Y and 7Y remained flat. [3][9] - Credit bond yields generally declined slightly. The yields of 1Y AA + and above - grade credit bonds increased by 1BP, while the other grades remained flat; the yield of 3Y AAA remained flat, and the other grades decreased by 2 - 4BP; the yields of 5Y AA + and above - grade remained flat, and the other grades increased by 1BP; the yields of 7Y all grades decreased by 1 - 3BP; the yields of 10Y all grades increased by 1BP. [3][9] - Most credit spreads slightly converged. The credit spreads of 1Y AA + and above - grade remained flat, and the other grades narrowed by 1BP; the spread of 3Y AAA increased by 1BP, the spread of AA - decreased by 1BP, and the other grades compressed by 3BP; the spreads of 5Y AA + and above - grade remained flat, and the other grades widened by 1BP; the spreads of 7Y all grades narrowed by 1 - 3BP; the spreads of 10Y all grades narrowed by 1BP. [3][9] 3.2 Most urban investment bond spreads have decreased by 1 - 2BP - In terms of external ratings, the credit spreads of external - rated AAA platforms generally decreased by 1BP compared with last week, and the credit spreads of AA + and AA platforms generally decreased by 2BP. [14] - By administrative level, the credit spreads of provincial - level platforms generally decreased by 1BP compared with last week, and the credit spreads of prefecture - level and district - county - level platforms generally decreased by 2BP. [19] 3.3 Real - estate bond spreads are still widening, while most other industrial bond spreads are converging - Most industrial bond spreads converged. The spread of Vanke continued to compress significantly, but the spreads of central and state - owned enterprise real - estate bonds and other private - enterprise real - estate bonds still widened overall. [25] - The spreads of central and state - owned enterprise real - estate bonds widened by 1 - 3BP, the spread of mixed - ownership real - estate bonds converged by 188BP, and the spread of private - enterprise real - estate bonds increased by 15BP. [25] - The spread of Longfor decreased by 2BP, that of CIFI increased by 49BP, that of Vanke decreased by 1802BP, that of Midea Real Estate decreased by 1BP, that of Huafa increased by 13BP, and that of Poly increased by 3BP. [25] - The spread of AA - grade coal bonds increased by 1BP, and the other grades decreased by 1BP; the spread of AAA - grade steel bonds remained flat, and that of AA + decreased by 2BP; the spread of AAA - grade chemical bonds remained flat, and that of AA + decreased by 1BP. [25] 3.4 This week, Tier 2 and perpetual bonds have shown weak performance. Except for the 5Y variety, most yields have increased - The yields of 1Y all - grade Tier 2 capital bonds remained flat, and the spreads decreased by 0 - 1BP; the yields of all - grade perpetual bonds increased by 1 - 2BP, and the spreads increased by 0 - 1BP. [33] - The yields of 3Y all - grade Tier 2 capital bonds increased by 2 - 3BP, and the spreads widened by 3 - 4BP; the yields of all - grade perpetual bonds remained flat, and the spreads widened by 1BP. [33] - The yields of 5Y all - grade Tier 2 capital bonds decreased by 0 - 2BP, the yields of perpetual bonds remained flat, and the spreads changed by the same margin. [33] - The yields of 10Y all - grade Tier 2 capital bonds increased by 2 - 5BP, and the spreads widened by 1 - 3BP; the yields of perpetual bonds increased by 5BP, and the spreads increased by 3BP. [33] 3.5 The excess spread of 3Y industrial perpetual bonds has narrowed, while the excess spread of urban investment bonds has shown differentiation - The excess spread of industrial AAA - grade 3Y perpetual bonds converged by 0.76BP compared with last week to 13.91BP, at the 36.17% percentile since 2015. The excess spread of industrial 5Y perpetual bonds remained the same as last week at 13.21BP, at the 33.60% percentile since 2015. [36] - The excess spread of urban - investment AAA - grade 3Y perpetual bonds increased by 0.83BP to 4.86BP, at the 5.43% percentile. The excess spread of urban - investment 5Y perpetual bonds decreased by 3.72BP to 9.62BP, at the 11.15% percentile. [36] 3.6 Credit Spread Database Compilation Instructions - The overall market credit spreads, commercial bank Tier 2 and perpetual spreads, and urban - investment/industrial perpetual bond credit spreads are calculated based on ChinaBond Medium - and Short - Term Notes and ChinaBond Perpetual Bonds data. The historical percentiles are since the beginning of 2015. [38] - The credit spreads related to urban - investment and industrial bonds are compiled and statistically analyzed by the Huafu Securities Research Institute, and the historical percentiles are since the beginning of 2015. [38] - The credit spreads of industrial and urban - investment individual bonds = the ChinaBond valuation (exercise) of individual bonds - the yield to maturity of the same - term China Development Bank bonds (calculated by the linear interpolation method), and finally the arithmetic average method is used to calculate the credit spreads of the industry or regional urban - investment bonds. [40] - The excess spread of bank Tier 2 capital bonds/perpetual bonds = the credit spread of bank Tier 2 capital bonds/perpetual bonds - the credit spread of bank ordinary bonds of the same grade and term. The excess spread of industrial/urban - investment perpetual bonds = the credit spread of industrial/urban - investment perpetual bonds - the credit spread of medium - term notes of the same grade and term. [40] - Sample screening criteria and other information: Both industrial and urban - investment bonds select medium - term notes and public - offering corporate bond samples, and exclude guaranteed bonds and perpetual bonds. If the remaining term of an individual bond is less than 0.5 years or more than 5 years, it will be excluded from the statistical samples. Industrial and urban - investment bonds are all external entity ratings, while commercial banks use ChinaBond implicit debt ratings. [40]