1. Report Industry Investment Rating - No relevant information provided 2. Core View of the Report - The "Guojin Securities Fixed Income - Bond Market Micro - trading Thermometer" reading continued to rise to 57%, up 3 percentage points from the previous period. Some indicators' positions increased, while others decreased. The proportion of indicators in the over - heated range remained at 35% [15][21]. 3. Summary According to Relevant Catalogs 3.1. Micro - trading Thermometer Reading - The micro - trading thermometer reading continued to rise to 57%. The positions of institutional leverage, policy spread, bond fund profit - taking pressure, stock - bond ratio, and overall market turnover rate increased by 48, 18, 18, 16, and 12 percentage points respectively. The TL/T long - short ratio and commodity ratio positions also rose by 11 percentage points. However, the position values of fund - small and medium - sized bank buying volume, long - term treasury bond trading volume ratio, and listed company wealth management buying volume decreased by 33, 18, and 15 percentage points respectively [3][15]. 3.2. Proportion of Indicators in the Over - heated Range - Among the 20 micro - indicators, 7 (35%) were in the over - heated range, 7 (35%) were in the neutral range, and 6 (30%) were in the cold range. The long - term treasury bond trading volume ratio and listed company wealth management buying volume dropped from the over - heated range to the cold range; institutional leverage and policy spread rose from the neutral range to the over - heated range; the overall market turnover rate rose from the cold range to the neutral range [4][21]. 3.3. Long - term Treasury Bond Trading Volume Ratio - In the trading heat indicators, the proportion of indicators in the over - heated range remained at 67%, the proportion in the neutral range rose to 33%, and the proportion in the cold range dropped to 0%. The overall market turnover rate position increased by 12 percentage points, rising from the cold range to the neutral range; institutional leverage position increased by 48 percentage points, rising from the neutral range to the over - heated range; the long - term treasury bond trading volume ratio position decreased by 18 percentage points, dropping from the over - heated range to the neutral range [6][22]. 3.4. Bond Fund Profit - taking Pressure - In the institutional behavior indicators, the proportion of indicators in the over - heated range dropped to 25%, the proportion in the neutral range remained at 13%, and the proportion in the cold range rose to 63%. The listed company wealth management buying volume position decreased by 15 percentage points to 58%, dropping from the over - heated range to the neutral range; the fund - small and medium - sized bank buying volume position decreased by 33 percentage points to 31%, dropping from the neutral range to the cold range [7][26]. 3.5. Policy Spread - The yield of 3 - year treasury bonds continued to decline, the policy spread narrowed by 2bp to 0bp, and the position value rose slightly by 18 percentage points to 76%, rising from the neutral range to the over - heated range. The credit spread and agricultural development - state - owned development spread remained the same as the previous period, the IRS - SHIBOR 3M spread widened by 3bp, and the average spread of the three widened slightly by 1bp to 17bp. Its position value decreased by 4 percentage points to 61%, still in the neutral range [8][32]. 3.6. Stock - Bond Ratio - Among the ratio indicators, the proportion of indicators in the cold range remained at 75%, and the proportion in the neutral range remained at 25%. The position values of stock - bond, commodity, and real estate ratios increased by 16, 11, and 18 percentage points to 57%, 56%, and 51% respectively, all still in the neutral range [9][34].

Investment Rating - The report suggests focusing on themes of intelligence and overseas expansion, highlighting potential investment opportunities in companies like BYD and Geely Automobile, as well as in the intelligent and robotics sectors such as Li Auto-W and Xpeng Motors-W [3][16]. Core Insights - Tesla is shifting its focus from traditional vehicle production to AI and robotics, planning to stop the production of Model S and Model X to allocate resources for the Optimus humanoid robot, with a target production capacity of 1 million units annually by 2026 [1][13]. - Li Auto is restructuring its R&D department to enhance its humanoid robot development, indicating a strong commitment to AI competition and innovation in robotics [2][14]. - The passenger car market has shown weak sales performance in early 2026, but there is optimism for recovery in Q1 2026 due to anticipated policy support and seasonal demand [2][15]. Industry Data Tracking - The Shanghai Composite Index increased by 0.08%, while the automotive index decreased by 5.08%, ranking 29th among 31 sectors [4][17]. - In the second week of January 2026, wholesale passenger car sales were 359,000 units, down 28% year-on-year, with a significant increase in new energy vehicle penetration to 50% [5][26]. - In December 2025, the total wholesale passenger car sales were 2.787 million units, a year-on-year decrease of 9.3%, while new energy vehicle sales increased by 3.4% [6][34]. Industry Dynamics - Tesla's transition to focus on AI and robotics is part of a broader trend in the automotive industry, with companies like Xpeng and Li Auto also investing heavily in intelligent driving and robotics [1][3][66]. - The report highlights the importance of new energy vehicle exports, which have shown a consistent growth rate of over 20% year-on-year, indicating a long-term trend towards international markets [3][15]. - The introduction of mandatory standards for advanced driver assistance systems in China marks a significant regulatory shift that will impact the automotive landscape [68].

1. Report Industry Investment Rating - No relevant content provided 2. Core Viewpoints of the Report - As of January 30, the weighted average transaction terms of urban investment bonds and industrial bonds were 2.26 years and 2.43 years respectively. Among commercial bank bonds, the weighted average transaction terms of secondary capital bonds, bank perpetual bonds, and general commercial financial bonds were 4.00 years, 3.52 years, and 2.05 years respectively, with secondary capital bonds at a relatively high historical level. The durations of other financial bonds, such as securities company bonds, securities subordinated bonds, insurance company bonds, and leasing company bonds, were 1.70 years, 2.09 years, 3.26 years, and 1.44 years respectively. The overall duration of other financial bonds was slightly shorter than the previous week, and the historical quantile of the duration of leasing company bonds was at a relatively high historical level [2][9]. - The coupon duration congestion index has increased. After reaching its highest value in March 2024 and then declining, the index rose this week compared to last week and is currently at the 64% level since March 2021 [11]. 3. Summary by Relevant Catalog 3.1 All - Variety Term Overview - The weighted average transaction terms of urban investment bonds and industrial bonds were 2.26 years and 2.43 years respectively. Among commercial bank bonds, the weighted average transaction terms of secondary capital bonds, bank perpetual bonds, and general commercial financial bonds were 4.00 years, 3.52 years, and 2.05 years respectively. The durations of securities company bonds, securities subordinated bonds, insurance company bonds, and leasing company bonds were 1.70 years, 2.09 years, 3.26 years, and 1.44 years respectively [2][9]. - The coupon duration congestion index increased this week compared to last week and is currently at the 64% level since March 2021 [11]. 3.2 Variety Microscope Urban Investment Bonds - The weighted average transaction term of urban investment bonds hovered around 2.26 years. The duration of Shaanxi provincial - level urban investment bonds extended to 9.16 years, while the transaction duration of Hebei provincial - level urban investment bonds shortened to around 1.19 years. The historical quantiles of the durations of prefecture - level cities in Hunan, district - level counties in Jiangsu, and district - level counties in Beijing have exceeded 90%, and the duration of prefecture - level cities in Anhui is approaching the highest since 2021 [3][15]. Industrial Bonds - The weighted average transaction term of industrial bonds remained the same as last week, generally around 2.43 years. The transaction duration of the coal industry extended to 2.25 years, and the transaction duration of the public utilities industry shortened to 2.75 years. The transaction durations of the food and beverage and real estate industries are in the neutral historical quantile range, while those of the non - ferrous metals and pharmaceutical and biological industries are at relatively high historical quantiles [3][21]. Commercial Bank Bonds - The duration of general commercial financial bonds extended to 2.05 years, at the 53.3% historical quantile, higher than the same period last year. The duration of secondary capital bonds shortened to 4.00 years, at the 80.2% historical quantile, higher than the same period last year. The duration of bank perpetual bonds shortened to 3.52 years, at the 56.9% historical quantile, higher than the same period last year [3][24]. Other Financial Bonds - In terms of the weighted average transaction term, insurance company bonds > securities subordinated bonds > securities company bonds > leasing company bonds, at historical quantiles of 65.4%, 46.6%, 60.4%, and 86.9% respectively. The overall duration of other financial bonds was slightly shorter than last week [3][27].

Group 1 - The core view of the report indicates a general decline in the simulated portfolio returns for credit styles, while some interest rate style portfolios showed improvement, particularly the urban investment long-term and duration strategies, with weekly returns of 0.19% and 0.18% respectively [2][15] - The average weekly return for credit style time deposit heavy portfolios decreased by 5.2 basis points to 0.06%, while urban investment heavy portfolios fell by 7.4 basis points to 0.1%, lagging behind corresponding interest rate style portfolios by approximately 8 basis points [2][18] - The report highlights that over 60% of the returns from the urban investment long-term bond heavy portfolio came from capital gains, with the annualized returns for urban investment and secondary long-term strategies remaining at relatively high levels of 33.5 basis points and 41.1 basis points respectively [3][27] Group 2 - In the past four weeks, the cumulative returns of urban investment heavy strategies have begun to surpass those of the secondary perpetual bond portfolio, with cumulative excess returns for urban bond duration, perpetual bond duration, and broker bond down strategies reaching 17.9 basis points, 14.9 basis points, and 14.4 basis points respectively [4][32] - The report notes that the urban investment duration strategy has consistently outperformed the barbell strategy, with excess returns around 6.1 basis points, while the excess returns for secondary bond bullet and duration strategies have deviated negatively from the benchmark by 5.9 basis points and 6.1 basis points respectively [4][35] - The report indicates that the urban investment and secondary long-term combinations have seen excess returns drop to -1.6 basis points, -12.9 basis points, and -36.2 basis points respectively [4][35]

Report Industry Investment Rating - Not provided in the content Core Viewpoints of the Report - Due to the introduction of VAT on new bonds, the calculated credit spreads are passively narrowed, making them incomparable with historical data. Two methods are presented to remove the impact of VAT and restore the real spread levels [2][11] - After adjusting for VAT, high - grade, medium - and short - term credit bonds' credit spreads relative to the same - maturity government bonds are at historically low levels, and profit - seeking should moderately shift to medium - and long - term bonds [33] Summary According to the Table of Contents I. Credit Spread Calibration Techniques 1. Tax Burden Compensation Back - Calculation Method - When VAT is introduced, investors require "tax burden compensation" in new bond issuance pricing to ensure after - tax real yields are not lower than old bonds. The ratio of pre - tax yields that makes the after - tax yields of new and old bonds equal is defined as the "coupon compensation multiple" [2][12] - For new bonds issued after August 8, 2025, banks' self - operation applies a 6% VAT rate, and asset management institutions and public funds apply a 3% VAT rate. After considering urban construction and education surcharges, the actual VAT rates are 6.34% and 3.26% respectively. The "coupon compensation multiple" for banks is about 1.07, and for asset management institutions and public funds, it is about 1.03 [13] - If the current secondary - market valuation yield curve fully reflects investors' tax burden compensation requirements, dividing the current valuation by the coupon compensation multiple can obtain the original valuation yield curve without the impact of VAT. For example, on January 23, the equivalent coupon compensation for 1 - 10 - year government bonds and policy - bank bonds with 6% and 3% interest VAT was calculated [18] - By dividing the ChinaBond valuation yield curve by the coupon compensation multiple, the credit spreads after removing the impact of VAT can be restored. As of January 23, the medium - duration general - credit bonds still have some room for decline compared with government bond yields [24] - Different types of bond investors have different tax - rate preferences and interest compensation requirements. Government bonds are mainly held by banks' self - operation with higher actual tax rates and higher after - tax interest compensation requirements, while policy - bank bonds and financial bonds are mainly invested by institutions with a 3% tax rate and lower interest compensation requirements [25] - After calibration, the credit spreads of high - grade, medium - and short - term credit bonds relative to the same - maturity government bonds are at historically low levels, and profit - seeking should shift to medium - and long - term bonds [33] - The tax compensation back - calculation method provides a theoretical framework, but in practice, it is difficult to verify whether "full compensation" has been achieved, and the compensation amount is affected by multiple factors and is dynamic [39] 2. New - Old Bond Spread Restoration Method - In the short term, by observing the yield difference between new and old bonds issued by the same entity with very close remaining maturities, the dynamic change of the market's pricing of VAT compensation can be more timely reflected [4] - For general non - financial credit bonds, the credit spread after removing the impact of VAT is equal to the credit spread calculated based on the ChinaBond yield curve plus the new - old bond spread of the same - maturity government bonds/policy - bank bonds. For Tier 2 and perpetual bonds, it is equal to the credit spread calculated based on the ChinaBond yield curve plus the new - old bond spread of the same - maturity government bonds/policy - bank bonds minus the new - old bond spread of the same - maturity financial bonds [4] - As of January 23, the adjusted spreads of 1 - 5 - year high - grade general - credit bonds and government bonds have shrunk to below the 15th percentile since 2024, while the spreads of 7 - year and above bonds are at a relatively higher historical percentile, with more sufficient risk compensation for extending the maturity [47] - The new - old bond spread restoration method has limitations. The observed spread may underestimate the real tax compensation requirement, and it is difficult to restore the spreads of some bonds due to the scarcity of comparable bond samples. This method is more suitable for capturing short - term trading opportunities and monitoring market sentiment [4][48]

风险提示 证券板块 超 20 家上市券商发布业绩预告或业绩快报，经纪、自营业务是主要驱动力。25Q4 利润增速以环比下降为主，主要是 因为 Q4 投资收益率下降，但多数公司实现同比高速增长，整体符合预期，券商板块高业绩增速有望支撑补涨。 证监会发布《关于修改〈《上市公司证券发行注册管理办法》第九条、第十条、第十一条、第十三条、第四十条、第五 十七条、第六十条有关规定的适用意见——证券期货法律适用意见第 18 号〉的决定（征求意见稿）》，并公开征求意 见。战略投资者类型扩围，修订稿明确全国社保基金、基本养老保险基金、企业（职业）年金基金、商业保险资金、 公募基金、银行理财等机构投资者可以作为战略投资者；明确持股比例与锁定约束，修订稿强调战略投资者本次认购 上市公司股份原则上不低于 5%；在长期、较大比例持股和提名董事参与公司治理基础上，明确其需导入战略资源、 改善治理或资源整合，同时强化锁定与合规，不得通过代持、绕道减持等方式规避最低持股比例与锁定期要求。核心 在于引导"耐心资本"从财务投资转向积极股东，是构建"长钱长投"市场生态的关键一环。 投资建议：建议关注三条主线：（1）强烈推荐估值及业绩错配程度较大的优 ...

Report Industry Investment Rating - Not provided in the content Core Viewpoints - After the January long - short game, the market has seen some new changes. The PPI recovery speed may be faster than the previous neutral expectation, government bond supply is front - loaded with longer terms, and the expectation of broad monetary policy has further weakened. The bond market may face medium - term pressure, but there may be short - term trading opportunities with limited space [7][11][15][25][31] Summary by Related Catalogs Interest Rate and Bond Market in January - Interest rate showed a first - up - then - down trend in January. In the first two weeks, the 10 - year Treasury bond rate rose to around 1.9% due to factors such as supply concerns, dampened interest rate cut expectations, the seesaw effect of rising equities, and inflation concerns from strong commodities. In the middle and late January, with sufficient central bank liquidity injection and other factors, the market had a recovery window [2][7] - The bond market remained relatively resilient in the last week of January. The 7 - day reverse repurchase net investment was 5.805 billion yuan. The 7 - day funding rate rose significantly. The yields of both ends of the curve rose while the middle part declined. The 10 - year Treasury bond yield fell 2bp to 1.81%. The duration of public - offering funds continued to rise [32][33][37] PPI and Inflation - In January, prices accelerated upward with a wider coverage, and the change was transmitted from raw materials to the end - products. The month - on - month increase of PPI in January may be between 0.15% and 0.25%, and the year - on - year may be in the range of - 1.53% to - 1.43%, with the year - on - year decline expected to narrow faster. The PPI may return to zero earlier than the previous neutral prediction [3][11] Government Bond Supply - In January, the overall net financing of government bonds was significantly higher than the seasonal level, showing the characteristic of front - loaded supply. The local bond issuance was skewed towards the medium - and long - term, with the issuance scale of 10 - year and 30 - year bonds increasing. The supply pressure will still be relatively high from February to March [4][15][24] Expectation of Broad Monetary Policy - Since the beginning of the year, the market's expectation of broad monetary policy has gradually cooled, and the overall level has further weakened compared with the end of last year. Although there may be opportunities for short - term game of easing expectations, the overall space for total easing is limited this year [5][25][27] Local Bond Issuance - In the last week of January, local bond issuance increased, and the issuance scale this year has been significantly higher than that of the same period last year. The weighted average issuance term of local bonds has generally increased slightly compared with the same period last year, and the issuance scale of 10 - year and 30 - year local bonds has almost doubled [54][57] - In the week from January 24th to January 30th, the issuance scale of new special bonds and ordinary refinancing bonds increased month - on - month. The weighted average issuance term increased slightly by 1 year to 17 years, and the issuance spread decreased by 1bp month - on - month [43][45][51] - The actual issuance progress of local bonds in January was 103% of the plan. The expected issuance scale of local bonds from February 2nd to 6th is 57.97 billion yuan [59][60]

New Housing Market - New housing transaction volume in 47 cities increased by 16.6% week-on-week from January 24 to January 30, but decreased by 17.1% compared to the same period last year[2] - The decline in new housing transactions has narrowed compared to the previous week, indicating a potential stabilization in market sentiment[4] Second-hand Housing Market - Second-hand housing transaction volume in 22 cities saw a seasonal decline with a week-on-week growth rate of -5.5% during the same period, down 16.2% year-on-year[7] - The second-hand housing market is stabilizing at a low point, influenced by seasonal factors as the Spring Festival approaches[9] Market Outlook - The upcoming "Golden March and Silver April" period will be crucial for assessing whether the real estate market can stabilize and recover[9] - New housing stability depends on the release pace of quality supply, while second-hand housing stability is influenced by price stabilization in core cities[11] Risk Factors - Risks include unexpected declines in housing prices, exceeding expectations in real estate company debt risks, and macroeconomic downturns[3][12]

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The report highlights a significant decline in China's smartphone sales, projecting approximately 21 million units sold in December 2025, representing a year-on-year decrease of about 20% [12] - Major smartphone brands such as Huawei, OPPO, Honor, vivo, and Apple hold market shares of approximately 20%, 17%, 14%, 14%, and 13% respectively, with Huawei's Mate X6 being the top-selling model [12][18] - The domestic PC market shows a mixed performance, with desktop sales increasing by about 9% to approximately 1.92 million units, while laptop sales decreased by about 9% to around 2.15 million units [19] Summary by Sections Overseas Market Review - The report notes the ongoing rise in activity for overseas AI-related stocks, with companies like Meta, Apple, and Broadcom showing positive weekly performance [6] Consumer Electronics Dynamics - The report emphasizes the severe decline in the domestic smartphone market, with Huawei leading in market share and specific models like Mate X6 and Mate X7 performing well [12][18] - The report also indicates a downturn in laptop sales while desktop sales have shown some recovery [19]

子行业周度核心观点： 整体观点：本周 SpaceX 提交的百万颗级最新星座计划与中国航天科技集团宣布的"155 战略"继续为商业航天与太空 光伏主线"空中加油"，再次重申看好太空/马斯克光伏仍是当前电新板块最强主线；储能与锂电板块在下游淡季与碳 酸锂涨价的双重影响下前期调整充分，本周迎来期待已久的容量电价政策落地，伴随后续各省区具体电价政策出台、 碳酸锂价格回落、项目开工将提速，储能板块热度有望重新回升；此外，本周欧洲海风与国内氢能领域继续有积极信 号，再次提示低位布局机会（本周发布明阳智能公司深度报告，重点看好）。 光伏&储能：SpaceX 提交百万颗级轨道数据中心卫星计划，人类迈出走向 II 级文明的第一步，太空光伏行情继续空中 加油；银价高位大幅回落有望缓解电池组件环节成本压力，驱动短期盈利预期修复；全国性储能容量电价政策框架政 策落地，为储能项目投资注入确定性的同时，有望逐步展现对光伏发电消纳及市场交易电价的积极影响。 风电：1 月风机招标 6.3GW，陆风中标均价仍然维持较好水平，继续看好 2026-2027 年整机环节盈利弹性释放；2025 年国内风电新增并网约 120GW，同比+50%，看好"十 ...