文 ： 华创证券研究所副所长 、首席宏观分析师 张瑜（执业证号：S0360518090001） 联系人：夏雪（微信SuperSummerSnow） 核心观点 5 月出口整体来看，考虑到前期抢出口以及 5 月上半月高关税的压力，全月同比 4.8% ，并不算低。按照 《出口不确定性的"β、α"二分法——4月进出口数据 点评》 分析框架， 5 月贸易数据反映出的或是： 3 ）后续从高频来看， 6 月整体出口量增速或边际回落，仍具韧性，中国对美国直接出口或有所反弹。此外，欧盟或是重要增量（其制造业 PMI 未来产出预 期指数持续回升，或指向工业生产的复苏）。 报告摘要 一、"β、α"二分法看 5 月出口 （一）需求（β）风险如何？ 事项 5 月，中国美元计价出口同比 4.8% ，基本符合彭博一致预期 5% ， 4 月同比 8.1% ；美元计价进口同比 -3.4% ，弱于彭博一致预期 -0.9% ， 4 月同比 -0.2% 。 1 ）对于β风险，通俗来说即美国进口崩盘的风险。目前从美国进口数据来看，还暂看不出风险的爆发，但是景气前瞻指标和高频都指向美国进口或面临持续 趋弱的压力。 2 ）对于α风险，即中国市场份额损失风 ...

Core Viewpoint - The analysis emphasizes the importance of month-on-month (MoM) price changes over year-on-year (YoY) changes, providing a clearer understanding of price differentiation trends in the current year [4][14]. CPI Analysis - Overall, the cumulative MoM increase in CPI for the first five months of this year is 0%, which is weaker than the 0.4% increase during the same period from 2021 to 2024. However, the core CPI shows a cumulative MoM increase of 0.5%, slightly better than the 0.4% increase in the same period [5][15]. - In terms of categories, food prices have a cumulative MoM increase of -0.6% (compared to -1% in the past four years), rent at 0.1% (0% previously), and core goods at 0.9% (0.1% previously) are considered "strong." Conversely, energy prices at -2.3% (3.8% previously) and core services (excluding rent) at 0.5% (1.2% previously) are deemed "weak" [5][15]. - Detailed breakdowns show that within food, fresh fruits, beef, lamb, and pork prices are "strong" with declines of -7.4% and -16.4%, while grains, cooking oils, fresh vegetables, seafood, and dairy prices are "weak." In energy, water, electricity, and fuel prices are "weak" with a decline of -5.4% [6][16]. PPI Analysis - The cumulative MoM increase in PPI for the first five months of this year is -1.5%, which is weaker than the -0.5% increase during the same period last year [8][23]. - In terms of categories, clothing (0% this year vs. -0.2% last year) and general daily necessities (0.2% vs. 0.1%) are "strong," while mining (-8.7% vs. -1.2%), raw materials (-2.4% vs. 0.9%), and durable goods (-1.4% vs. -1.2%) are "weak" [8][23]. - Among 32 comparable industries, 10 show "strong" prices, mainly in downstream manufacturing and electric water industries. In mining, black metal extraction is "strong," while coal extraction and oil and gas extraction are "weak" [9][24]. May Inflation Data Review - CPI shows a slight decline both YoY and MoM, with food prices experiencing a small YoY drop and energy prices seeing a deeper YoY decline. Core CPI shows a slight YoY increase [29][39]. - The MoM CPI decreased by 0.2%, which is 0.1 percentage points higher than the average of the past five years. Food prices shifted from a 0.2% increase to a 0.2% decrease, while energy prices dropped by 1.7% [31][39]. - The core CPI reflects a 0.1% decrease in rent, which is lower than the 2015-2019 average, and a stable core goods price. Durable goods prices continue to decline, with transportation tools down by 0.4% [32][36]. Price Change Proportions - The proportion of CPI items with price increases has expanded, with the ratio rising from 24% to 29%, which is at the 11% percentile since 2016 [44]. - Conversely, the proportion of PPI industries with price increases has significantly narrowed, with the number of industries increasing prices dropping from 8 to 5, resulting in a decrease from 27% to 17% [46].

Group 1 - The document emphasizes that the research is intended for professional investors only, and it should not be shared with non-professional investors [1][2][3] - It highlights the potential misunderstanding that ordinary investors may face due to the lack of interpretative services regarding key assumptions, ratings, and target prices in the reports [3] - The content is derived from previously published research reports by Huachuang Securities, and any discrepancies should refer to the complete report from the publication date [3]

文 ： 华创证券研究所副所长 、首席宏观分析师 张瑜（执业证号：S0360518090001） 联系人： 陆银波（15210860866） 袁玲玲（微信 Yuen43） 报告摘要 继 5 月 10 日日内瓦经贸会谈后，近一周中美关税会谈再次出现新的积极变化： （一）总书记同美国总统特朗普通电话。总书记指出，"校正中美关系这艘大船的航向，需要我们把好 舵、定好向"，并"欢迎特朗普再次访华" ； 特朗普表示，"美方愿同中方共同努力落实协议。美方欢迎 中国留学生来美学习"；两国元首同意双方团队继续落实好日内瓦共识，尽快举行新一轮会谈。 （二）中美经贸磋商机制将举行首次会议 。 6 月 7 日，外交部发言人宣布：应英国政府邀请，中共 中央政治局委员、国务院副总理何立峰将于 6 月 8 日至 13 日访问英国。其间，将与美方举行中美经 贸磋商机制首次会议。 （三）稀土出口管制措施出现变化 。 6 月 7 日，商务部新闻发言人就中重稀土出口管制措施答记者 问，"已依法批准一定数量的合规申请，并将持续加强合规申请的审批工作。中方愿就此进一步加强与 相关国家的出口管制沟通对话"。 近一周，其他值得关注的政策： （一）外交：与 ...

Group 1 - The core viewpoint of the article is that the "trade-in" program for consumer goods is accelerating, particularly in the categories of home appliances and automobiles, while electric bicycles remain stable [1][2][3] - In May, the average daily trade-in volume for automobiles was approximately 38,000 units, a slight decrease from April's 39,000 units, while projections for September to December 2024 suggest an increase to 47,000 units per day [2][10] - Home appliances saw an increase in trade-in activity, with May's average daily volume reaching about 829,000 units, up from 630,000 units in April [2][10] - The trade-in volume for electric bicycles remained relatively stable, with May's average daily volume at approximately 62,000 units, compared to 65,000 units in April [2][11] Group 2 - The overall trade-in activity for the three consumer goods categories (automobiles, home appliances, and electric bicycles) showed an increase in May, with a weighted average daily trade-in volume rising from 92,000 units in April to 109,000 units in May [3][12] - The trade-in program is projected to drive significant sales, with the Ministry of Commerce estimating that the program will generate over 1.3 trillion yuan in product sales in 2024, and approximately 1.1 trillion yuan in the first five months of 2025 [4][5] - The macroeconomic indicators suggest a mixed outlook, with infrastructure projects and durable goods consumption being the main drivers of economic activity, while industrial production and external demand remain weak [15][16][22] Group 3 - The trade-in program's impact on consumer spending is significant, as evidenced by the strong sales figures driven by the program [4][5] - The weekly economic observations indicate a slight decline in the macroeconomic activity index, but it remains above 5%, suggesting ongoing economic recovery [15][16] - The trade-in program is part of a broader strategy to stimulate consumption and support economic growth, particularly in the context of fluctuating external trade dynamics [28][29]

Core Insights - The rapid growth of stablecoins and the introduction of regulations such as Hong Kong's Stablecoin Regulation and the US GENIUS Act have made stablecoins a focal point in the market [2][11] - The impact of stablecoin flows on short-term US Treasury yields is significant, with a net inflow of $3.5 billion leading to a decrease in 3-month Treasury yields by approximately 2-2.5 basis points within 10 days [2][6] - Conversely, outflows have a more pronounced effect, with a $3.5 billion outflow resulting in an increase of about 6-8 basis points in yields [2][6] - The influence of stablecoin flows is primarily concentrated in the short end of the yield curve, particularly affecting 3-month Treasury yields, while having minimal spillover effects on 2-year and 5-year yields [2][6] - Continued rapid expansion of the stablecoin market could significantly depress short-term Treasury yields, potentially disrupting the effectiveness of the Federal Reserve's monetary policy transmission [2][7] Group 1: Stablecoins and Safe Asset Prices - The total asset management scale of dollar stablecoins exceeded $200 billion by March 2025, surpassing the holdings of major foreign investors like China in short-term US securities [4][12] - Stablecoin issuers, particularly Tether (USDT) and Circle (USDC), support their tokens primarily through US Treasury bills and money market instruments, making them key players in the short-term debt market [4][12] - In 2024, dollar stablecoins purchased nearly $40 billion in US Treasury bills, comparable to the largest government money market funds in the US [4][12] Group 2: Data and Methodology - The research utilized daily frequency data from January 2021 to March 2025, sourced from various platforms including CoinMarketCap and Yahoo Finance [5][16] - The study focused on the 3-month Treasury yield as the primary variable, employing a simple univariate local projection model to analyze the impact of stablecoin flows [5][23] Group 3: Empirical Research on Stablecoin Flows - The empirical results indicate that a total inflow of $3.5 billion in stablecoins correlates with a decrease of approximately 2.5 basis points in the 3-month Treasury yield within 10 days, and up to 5 basis points within 20 days [6][35] - The contributions of different stablecoin issuers to yield changes were analyzed, with USDT accounting for approximately -1.54 basis points (70% of the total impact) and USDC contributing about 19% [6][38] Group 4: Discussion and Policy Implications - The potential for stablecoin market expansion to compress short-term Treasury yields raises concerns about the Federal Reserve's control over short-term interest rates [7][40] - The transparency of reserves is crucial, with USDC's disclosures being more transparent compared to USDT, highlighting the need for standardized reporting to mitigate systemic risks [7][41] - The strong demand for Treasuries from stablecoins may exacerbate the "safe asset scarcity" issue faced by non-bank financial institutions, affecting liquidity premiums [8][40]

Core Viewpoint - The article discusses the May non-farm payroll data, highlighting that while job additions slightly exceeded expectations, the overall employment market shows signs of slowing down, with a notable focus on wage growth as a positive aspect [1]. Group 1: Employment Data Overview - In May, non-farm employment increased by 139,000, surpassing the expected 130,000, with job growth concentrated in three sectors: education and health services (+87,000), leisure and hospitality (+48,000), and financial activities (+13,000) [2][16]. - The unemployment rate remained steady at 4.2%, but this stability was achieved at the cost of a declining labor force participation rate, which fell from 62.6% to 62.4% [5][22]. - The employment growth breadth has decreased, with the employment diffusion index dropping to 50%, indicating that job growth is becoming less widespread across various sectors [4][16]. Group 2: Wage Growth Insights - Wage growth in May was a highlight, with hourly earnings increasing by 0.4% month-over-month, exceeding the expected 0.3%, and a year-over-year increase of 3.9%, also above the anticipated 3.7% [6][31]. - The article emphasizes that the wage growth is crucial for protecting the purchasing power of consumers, particularly for low- and middle-income groups, amidst rising inflation concerns [6][12]. Group 3: Market Reactions - Following the non-farm report, market expectations for interest rate cuts have cooled, with the probability of a September rate cut dropping from 61.3% to 51.8% [3][35]. - The stock market reacted positively, with major indices such as the Dow Jones and Nasdaq rising, indicating a rebound in risk appetite among investors [3][35].

Core Viewpoint - The article discusses the impact of tariff uncertainties on China's exports, emphasizing the need to understand the core contradictions in the export transmission path and to closely monitor key variables through a high-frequency tracking framework [4][17]. Group 1: Tariff Uncertainty and Export Impact - The fluctuations in Trump's tariffs create significant estimation errors regarding their impact on China's overall exports, making it crucial to identify key variables and track their changes [4][17]. - The core elements affecting U.S. import demand under tariff pressures include U.S. tariff policies, the transmission of tariffs to import prices, and the impact on consumer purchasing power [17]. Group 2: High-Frequency Tracking Framework - A high-frequency tracking framework has been established, consisting of six categories and sixteen indicators to monitor global trade demand, Chinese export volume and price, direct trade flow between China and the U.S., potential transshipment trade, U.S. import demand, and effective tariff rates [18]. - The Baltic Dry Index (BDI) and JPMorgan Global Manufacturing PMI are used to track global trade volume, indicating a downward trend in global cargo export volume growth [5][24]. - The RJ/CRB Index is employed to monitor global trade price growth, showing a recovery from -0.8% to 1.2% between April and May [6][25]. Group 3: Monitoring Chinese Exports - Container throughput at monitored ports is used to track China's export volume, which has shown a marginal decline from 7.3% to 6.7% year-on-year as of May 25 [7][29]. - The Producer Price Index (PPI) serves as a leading indicator for China's export prices, indicating a potential weakening trend in export prices over the next three months [8][33]. - Import data from South Korea and Vietnam are utilized as synchronous indicators for China's overall export performance, with recent data suggesting a marginal weakening in exports [9][41]. Group 4: U.S. Import Demand and Tariff Rates - U.S. import demand is tracked through IHS Markit customs data, revealing a decline in import amounts and container volumes, reflecting the impact of new tariffs [13][68]. - The effective tariff rate in the U.S. has increased from 6.3% in April to 8.1% in May, indicating a rising burden on imports [14][86]. - Predictions from the National Retail Federation suggest a significant drop in U.S. container imports, with expectations of a -13% year-on-year decline in May [78][79].

Core Viewpoint - The article discusses the performance of global asset classes in May, highlighting that global stocks outperformed commodities, the renminbi, and the dollar, while global bonds showed a decline [2]. Group 1: Global Asset Performance - In May, global stocks returned 5.72%, followed by commodities at 1.26%, the renminbi at 1.00%, the dollar at -0.14%, and global bonds at -0.36% [2]. - The "Big and Beautiful Act" in the U.S. may exacerbate long-term debt risks, with projections indicating that the debt-to-GDP ratio could soar to 134%-149% by 2035 if the act is implemented [4][10]. - The probability of a U.S. economic recession is rising, leading to defensive sectors outperforming cyclical sectors, with defensive sectors showing a year-to-date valuation increase of 10.7% compared to cyclical sectors [5][13]. Group 2: Market Dynamics - Emerging markets are outperforming developed markets, driven by a weaker dollar, which reduces the holding costs of emerging market assets and alleviates debt pressures [6][15]. - Global fund managers have increased their allocation to European stocks, reaching the highest level since October 2017, with net overweights rising from 22% to 35% [6][18]. - U.S. trade policy uncertainty is identified as a significant risk for U.S. stocks, with a close correlation observed between the Bloomberg U.S. Trade Policy Uncertainty Index and the S&P 500 Index [6][22]. Group 3: Currency and Bond Market Insights - The implied volatility of the USD/HKD risk reversal options has dropped to historically low levels, indicating a dominant bearish sentiment towards the HKD [7][25]. - The forward P/E ratio premium of the "Seven Giants" in the U.S. stock market has decreased to historical lows, suggesting a reset in the valuation advantage of tech giants [8][28]. - The Japanese yen's traditional safe-haven status has weakened, leading to significant depreciation in May, while other Asian currencies benefited from tariff pauses [8][31]. Group 4: Recent Developments in Currencies - Following the U.S.-China tariff suspension agreement, the onshore renminbi exchange rate broke through the central bank's midpoint, reaching a new high for the year [9][32]. - The New Taiwan Dollar experienced significant appreciation, surpassing the 30 mark against the U.S. dollar, attributed to foreign capital inflows and global risk sentiment rebound [9][37].

Core Viewpoint - The macroeconomic focus in May is expected to shift towards exports, with internal changes remaining relatively small. The anticipated export growth rate is around 3.5%, while imports are expected to decline by approximately 2% [2][3][11]. Export - Overall export growth is projected to marginally decline but remains within an acceptable range, with a forecasted year-on-year growth of 3.5% in dollar terms for May [3][11]. - High-frequency data indicates a decrease in container throughput at monitored ports, with a year-on-year decline of 6.7% as of May 25, compared to 7.3% at the end of April [4][12]. - The number of container ships from China to the U.S. has decreased significantly, with a year-on-year drop of 20.2% in May, reflecting weak direct exports to the U.S. [4][12]. - Imports from ASEAN countries have also shown a marginal decline, with a year-on-year increase of 6.3% in ship arrivals in May, down from 8.3% in April [4][12]. Domestic Demand - Retail sales are expected to grow by around 5.5% in May, with strong performance in the automotive sector but weaker pricing [5][15]. - Fixed asset investment growth is projected to decline to approximately 3.8% for January to May, influenced by insufficient project availability [5][14]. - Consumer Price Index (CPI) is expected to show a year-on-year decline of about 0.4%, while Producer Price Index (PPI) is anticipated to decrease by around 3.5% [6][8]. Financial Data - New social financing is expected to reach 1.9 trillion yuan in May, a decrease of 100 billion yuan compared to the same period last year [6][16]. - M2 money supply is projected to grow by approximately 7.6% year-on-year, while new M1 is expected to increase by around 2.4% [6][16]. Real Estate - Real estate sales are anticipated to show a year-on-year decline of about 3.0% in May, with major cities reporting a decrease of 4.1% [15][16]. Summary - The report highlights a cautious outlook for exports and domestic demand, with specific attention to the automotive and real estate sectors. The financial landscape shows signs of slowing growth in social financing and investment, indicating potential challenges ahead for the economy [2][5][11][15][16].