1. Report Industry Investment Rating No information provided in the content. 2. Core View of the Report The allocation value of ultra - long credit bonds has increased, with rising trading volume and a higher proportion of low - valuation transactions. The trading volume and price performance vary among different regions and industries of ultra - long urban investment bonds and ultra - long industrial bonds [1][2][3]. 3. Summary by Relevant Catalogs 3.1 Ultra - long Credit Bonds: Rising Trading Volume and Higher Proportion of Low - valuation Transactions - **Trading Volume**: The daily trading activity of ultra - long credit bonds increased this week. The average daily trading volume was 3.3 transactions, up from 3.0 last week. The trading volume of ultra - long credit bonds with a remaining maturity of 7 - 10 years increased significantly. The total trading volume this week was 30.3 billion yuan, a 12.64% increase from last week. The trading activity of industrial bonds was higher than that of urban investment bonds [2][11]. - **Trading Term**: The institutional preference for duration decreased. The average trading term of ultra - long credit bonds was 9.83 years, a decrease of 0.31 years from last week. The average trading term of ultra - long urban investment bonds decreased by 1.07 years, and that of industrial bonds decreased by 0.14 years [3][12]. - **Trading Price**: The trading yield of ultra - long credit bonds increased by 1bp to 2.37%. The trading yield of ultra - long urban investment bonds increased by 8bp, while that of ultra - long industrial bonds decreased by 1bp. The proportion of low - valuation transactions of ultra - long credit bonds rose to 53%, with a significant increase in ultra - long industrial bonds from 38% last week. The proportion of low - valuation transactions of credit bonds with a remaining maturity of 15 - 20 years decreased by about 55 percentage points [3][13]. 3.2 Ultra - long Urban Investment Bonds: Rising Trading Volume in Xinjiang and Sichuan, Marginal Increase in the Proportion of Low - valuation Transactions in Hebei - **Trading Volume**: The trading volume of ultra - long urban investment bonds in Xinjiang was relatively high at 1.47 billion yuan this week. The trading volume in Hebei and Shandong decreased significantly compared to last week, by 870 million yuan and 490 million yuan respectively, while that in Xinjiang and Sichuan increased [15]. - **Trading Term**: The average trading term of ultra - long urban investment bonds was 8.68 years. The trading term of ultra - long urban investment bonds in Liaoning increased by 0.12 years compared to last week, while that in Anhui decreased by 14.03 years [17]. - **Trading Price**: The trading yields of urban investment bonds in Liaoning and Shandong were relatively high, exceeding 3%. The trading yields of ultra - long urban investment bonds in Shandong and Beijing increased by 38bp and 32bp respectively compared to last week, while those in Fujian and Zhejiang decreased by 21bp and 16bp respectively. The proportion of low - valuation transactions of ultra - long urban investment bonds in Xinjiang decreased by 86 percentage points compared to last week, while that in Hebei and Hubei increased [17]. 3.3 Ultra - long Industrial Bonds: Rising Trading Volume in Utilities and Petrochemical Industries, Decreasing Proportion of Low - valuation Transactions in Commerce and Retail and Coal Industries - **Trading Volume**: The trading volume of ultra - long industrial bonds in the utilities industry was relatively high at 9.86 billion yuan this week. The trading volume of ultra - long industrial bonds in the utilities and petrochemical industries increased significantly compared to last week, by 5.76 billion yuan and 2.11 billion yuan respectively. The trading volume of ultra - long industrial bonds in the comprehensive industry decreased by about 3.49 billion yuan [20]. - **Trading Term**: The trading terms of ultra - long industrial bonds in the utilities and comprehensive industries shortened significantly this week, by 2.31 years and 0.85 years respectively compared to last week. The trading terms of ultra - long industrial bonds in the non - ferrous metals and transportation industries lengthened significantly, by 9.79 years and 5.92 years respectively [23][24]. - **Trading Price**: The trading yields of ultra - long industrial bonds in the social services and coal industries increased by 65bp and 48bp respectively compared to last week. The proportion of low - valuation transactions of ultra - long industrial bonds in the electronics industry was relatively high at 100%. The proportion of low - valuation transactions of ultra - long industrial bonds in the commerce and retail and coal industries decreased significantly this week [24].

Summary of Conference Call Records Industry or Company Involved - The discussion primarily revolves around the global market dynamics influenced by tariff impacts, particularly focusing on the U.S. and Chinese markets, as well as the performance of various asset classes including equities and commodities like gold. Core Points and Arguments - **Tariff Impact Recovery**: The Japanese and U.S. stock markets rebounded after the elimination of tariff impacts, surpassing pre-tariff levels by May 2, indicating that the influence of tariffs on stock markets has been largely repaired [1][2] - **Resilience of Chinese Assets**: Despite a weaker performance post-tariff impact, the decline in trade dependency on the U.S. has provided resilience to Chinese assets, which the market has not fully priced in yet [1][3] - **U.S. Stock Market Ambiguity**: The U.S. stock market has shown mixed signals, with non-farm data exceeding expectations leading to new highs, but disappointing GDP data and political factors have resulted in a fragile rebound, potentially delaying interest rate cuts [1][4][5] - **China's Policy Response**: China is enhancing cooperation with non-U.S. economies and signaling engagement with the U.S., while also expected to introduce domestic demand policies to counter external trade uncertainties [1][6] - **Macroeconomic Volatility Forecast**: By Q2 2025, macroeconomic volatility in the U.S. is expected to increase, with China clarifying external negotiation outcomes and implementing domestic policies, contributing to heightened global market fluctuations [1][7] - **Downstream Profit Recovery**: Since 2022, there has been a gradual recovery in profitability in downstream sectors, with midstream sectors also beginning to stabilize, attracting market attention towards companies performing well in the domestic demand sector [1][8] - **Gold Market Transition**: The demand for gold in China has weakened due to the recovery of RMB assets, leading to a potential shift of funds back to RMB assets. After a recent correction, gold is expected to enter a transitional phase and gradually stabilize [1][9] - **Small and Mid-Cap Stock Trends**: Small-cap stocks with high valuations and growth potential have seen significant gains, but the sustainability of this trend is uncertain. AI is identified as a major industry trend, although current data from listed companies does not reflect this [1][10] - **Focus on Domestic Demand**: There is a preference for investing in China's domestic demand sectors, including consumer and core consumer assets, while also considering industrial capital goods and key stocks like banks and insurance [1][11] - **Market Sentiment on Growth Stocks**: The market sentiment is leaning towards a volatile structural shift, favoring heavyweight stocks while maintaining caution towards small and mid-cap growth stocks due to their lower expected sustainability and volatility resistance [1][12] Other Important but Possibly Overlooked Content - The overall sentiment indicates a cautious optimism regarding the recovery of various markets, with a strong emphasis on the need for policy adjustments in response to external pressures and internal economic conditions [1][7][11]

Group 1 - The overall holding value of northbound funds reached 2.24 trillion RMB as of March 31, 2025, an increase of approximately 25.7 billion RMB compared to the end of Q4 2024, accounting for about 5.5% of the free float market value of A-shares [1][8][11] - Long-term allocation funds from foreign banks held 1.71 trillion RMB, increasing by about 10.8 billion RMB, representing 4.2% of the free float market value, while short-term trading funds from foreign brokerages held 0.38 trillion RMB, increasing by approximately 11.2 billion RMB, accounting for 0.93% [1][8][11] Group 2 - Northbound funds showed a significant increase in allocation to momentum, liquidity, and growth styles in Q1, reversing the previous quarter's reduction in these areas [2][17][22] - The overall style preferences of northbound funds included overweight positions in market capitalization, momentum, volatility, profitability, growth, and leverage, while underweight positions were noted in beta, BP, and liquidity [2][20][25] Group 3 - The highest holding value proportion of northbound funds was in the consumer sector at 6.9%, followed by financials at 6.0%, with a slight increase in the cyclical sector [3][28][32] - Northbound funds were overweight in consumer and financial sectors compared to the overall A-share market, while they were underweight in stability, technology, and cyclical sectors [3][38][42] Group 4 - The top five industries for northbound funds in terms of holding proportion changes were automotive, retail, consumer services, machinery, and electronics, while the bottom five included utilities, financials, telecommunications, real estate, and construction [3][42][45] - Northbound funds were overweight in industries such as power equipment and new energy, food and beverage, home appliances, banking, and automotive, while underweight in computer, basic chemicals, machinery, defense, and electronics [3][51][52] Group 5 - In terms of index allocation, northbound funds showed a decrease in holding proportions for the Shanghai 50 (-0.5%), CSI 300 (-0.3%), and CSI 500 (-0.2%), while there was a slight increase for the CSI 1000 (+0.1%) [4][58][62] - Northbound funds were overweight in the Shanghai 50 and CSI 300 compared to the overall A-share market, while underweight in the CSI 500 and CSI 1000 [4][67]

Group 1 - Core viewpoint: A-shares are expected to see a "good start" after the holiday due to marginal improvement in Q1 earnings and positive external factors [1] - A-shares are supported by favorable domestic and international environments, including improved performance of Hong Kong and US markets during A-share holidays [1] - Suggested investment themes include sectors with recovering demand and low tariff impact, such as AI-related infrastructure and export chains with low exposure to the US [1] Group 2 - Core viewpoint: Bank stocks are highlighted for their dividend attributes, suggesting a focus on their investment value [2] - The report emphasizes the importance of large banks, China Merchants Bank, and quality rural commercial banks for investment consideration [2] - The overall market sentiment is improving, with a potential shift towards growth sectors in May, including electronics, machinery, and consumer goods [2]

Group 1 - The core viewpoint is that global market risk aversion has decreased, leading to a recovery in investor sentiment supported by liquidity and a slowdown in trade war tensions [1] - Domestic consumption has improved due to the boost from the May Day holiday, indicating a continuous enhancement in internal demand [1] - The AI sector is experiencing accelerated development, with breakthroughs in multi-modal iterations and scenario-based applications [1] Group 2 - The first quarter reports of A-share listed companies have concluded, showing improvements in profit margins and structural differentiation in industry revenue growth [1] - Looking ahead to May, the market is expected to maintain a volatile pattern, with short-term risk preferences likely to improve marginally, potentially shifting market focus towards growth sectors [1] - Key industries to watch include electronics, machinery, computers, automobiles, home appliances, agriculture, retail, beauty care, and social services [1]

Group 1 - The core viewpoint is that A-shares are expected to continue showing a warming risk appetite and thematic rotation, focusing on low institutional holdings and thematic trading opportunities [1] - The economic landscape is anticipated to face new variables by the end of Q2, particularly in the context of Sino-US economic relations [1] - Three major trends are highlighted: the unwavering trend of enhancing China's independent technological capabilities, the reconstruction of European defense and energy infrastructure, and the necessity for China to accelerate domestic demand through the "dual circulation" strategy [1] Group 2 - Short-term factors affecting A-shares include the resolution of negative Q1 reports, the TMT sector reaching a lower response model, and ongoing advancements in AI applications by major domestic and international companies [2] - In the medium term, a focus on neutral dividend combinations is recommended until significant rebounds in real estate or technological applications occur [2] - The current market is likely to favor a rotation and thematic investment approach due to uncertainties in reported earnings across various listed companies [2] Group 3 - The end of the performance verification period is expected to enhance the outlook for technology stocks, with a high probability of a short-term rebound led by the tech sector [3] - Consumption and technology are both seen as areas where expectations for growth are strengthening, with a current high profitability effect in consumption and a relatively low position in technology [3] - The report indicates a preference for investment opportunities in AI computing and embodied intelligence in the medium term [3] Group 4 - Despite ongoing trade tensions, Chinese assets are viewed as having better value, with a focus on sectors benefiting from domestic demand, such as tourism, food, and retail [4] - Recommendations include resource products and capital goods that will benefit from the restructuring of global economic order [4] - Low-valuation financial sectors are also suggested as a hedge against potential external shocks [4] Group 5 - The appreciation of the RMB is expected to boost Chinese assets, with AI becoming a key focus for investment in May [5][6] - The report emphasizes the potential of the domestic AI industry and applications, supported by high capital expenditure from overseas firms [5][6] Group 6 - The A-share market is expected to experience increased volatility, with a shift from small-cap growth to large-cap value stocks [7] - Recommendations include reducing exposure to AI sectors with low penetration rates and increasing allocation to structural tech growth areas with performance contributions [7] - The report suggests focusing on sectors like infrastructure and consumption that are expected to benefit from growth dividends [7] Group 7 - The technology growth style is returning as the market begins to shift following the resolution of prior performance and tariff disruptions [8] - The technology sector is seen as having reached a favorable valuation range, making it an attractive area for investment [8] - The report indicates that as pessimism fades, the tech sector is regaining its position as a focal point for capital [8] Group 8 - A-shares and Hong Kong stocks are becoming more resilient to external shocks, with macro policies expected to support market stability [9] - Key areas of focus include high-margin assets, the tech sector as a long-term investment, and consumer sectors benefiting from policy support [9] - The report suggests that Hong Kong stocks are currently undervalued and may benefit from expanding domestic demand policies [9] Group 9 - The A-share market is expected to demonstrate independence and resilience, with opportunities in technology, consumption, and certain cyclical sectors [10] - The report highlights the importance of performance improvement and policy alignment in the tech sector, particularly in TMT [10] - It also emphasizes the potential of sectors benefiting from rising domestic consumption expectations [10] Group 10 - The market may experience a controlled pullback due to tariff impacts, but the overall outlook remains positive with favorable domestic policies [11] - The report anticipates that the market will stabilize and potentially return to a bullish state by the latter half of the year [11] - A focus on value-oriented investments is recommended, particularly in themes related to growth and domestic substitution [12]

2025 年 05 月 04 日 策略类●证券研究报告 节后开启震荡反弹，五月震荡偏强 定期报告 投资要点 假期期间担忧的风险基本未发生，节后可能开启震荡反弹。（1）假期期间海外风 险事件并未发生，国内政策继续偏积极。一是假期期间中国商务部表示中方正在对 美方主动要求谈判进行评估，中美谈判可能性增大。二是假期期间国内积极的政策 进一步落地实施。（2）假期期间海外流动性宽松预期未有变化。一是美国 4 月份 制造业 PMI、新增非农就业人数环比、平均时薪同比增速等均有所回落；二是美联 储继续降息概率仍较大，美元维持低位。（3）假期期间国内出行和消费数据火爆。 复盘历史，影响 5 月 A 股走势的主要因素是政策和外部事件、基本面和流动性。 （1）5 月 A 股表现多偏弱：2010 年以来的 15 年中上证综指仅有 6 次 5 月上涨。 （2）影响 5 月 A 股走势的主要因素是政策和外部事件、基本面和流动性。一是政 政策宽松或外部事件积极则上证综指 5 月可能上涨，如 2014 年"新国九条"发布、 2015 年央行调降 LPR、2021 "双碳"目标确立等；否则 A 股表现可能偏弱，如 2010、2011 年欧债 ...

Quantitative Models and Construction Methods 1. Model Name: Market Sentiment Timing Model - **Model Construction Idea**: The model is built from a structural perspective to quantify market sentiment using various sub-indicators[7] - **Model Construction Process**: - The model uses sub-indicators such as industry trading volatility, trading crowding, price-volume consistency, Sci-Tech Innovation Board (STAR 50) trading proportion, industry trend, RSI, main buying force, PCR combined with VIX, and financing balance ratio[8] - Each sub-indicator is scored based on its sentiment direction and position within Bollinger Bands. Scores are categorized as (-1, 0, 1)[8] - The final sentiment structural indicator is the 20-day moving average of the summed scores. The indicator fluctuates around 0 within the range of [-6, 6][8] - **Model Evaluation**: The model effectively captures market sentiment trends and provides actionable insights for timing decisions[8] 2. Model Name: Moving Average Scoring System (MASS) - **Model Construction Idea**: This model evaluates long-term and short-term trends of indices using N-day moving averages to generate timing signals[18] - **Model Construction Process**: - For N moving averages (N=360 for long-term, N=60 for short-term), scores are assigned based on the relative position of adjacent moving averages. If a shorter moving average is above a longer one, it scores 1; otherwise, it scores 0[18] - The scores are standardized to a 0-100 scale and averaged to derive the trend score at a specific time point[18] - Long/short-term timing signals are generated based on the crossover of the trend score with its 100/20-day moving average[18] - **Model Evaluation**: The model provides clear signals for sector rotation and market style preferences, favoring value and defensive sectors in the current environment[18] 3. Model Name: RSI Style Timing Model - **Model Construction Idea**: The model uses the Relative Strength Index (RSI) to compare the relative strength of different market styles (e.g., growth vs. value, small-cap vs. large-cap)[22] - **Model Construction Process**: - For two indices A and B, calculate the standardized ratio of their net values over a fixed period[22] - Compute the average gain (Gain) and average loss (Loss) over N days, where gains on down days are treated as 0 and losses on up days are treated as 0[22] - RSI formula: $ RSI = 100 - 100 / (1 + Gain / Loss) $ - RSI values range from 0 to 100, with values above 50 indicating stronger buying pressure[22] - The model calculates 5-day, 20-day, and 60-day RSI values. When the 20-day RSI exceeds the 60-day RSI, the numerator style is favored; otherwise, the denominator style is favored[22] - **Model Evaluation**: The model effectively identifies style dominance, currently favoring large-cap and value styles while noting short-term strengthening of growth and small-cap styles[22] --- Model Backtesting Results 1. Market Sentiment Timing Model - Sentiment indicator value as of April 30, 2025: 0.8, indicating a recovery in market sentiment[9] 2. Moving Average Scoring System (MASS) - Short-term signals: Positive for sectors like beauty care (72.88), utilities (86.44), banking (74.58), and oil & petrochemicals (22.03)[19] - Long-term signals: Positive for sectors like banking (95.54), machinery (78.55), and steel (51.25)[19] 3. RSI Style Timing Model - Growth/Value (300 Growth/300 Value): RSI 20-day = 53.02, RSI 60-day = 50.42, favoring value[25] - Small-cap/Large-cap (SW Small/SW Large): RSI 20-day = 48.84, RSI 60-day = 53.62, favoring large-cap[25] --- Quantitative Factors and Construction Methods 1. Factor Name: RSI - **Factor Construction Idea**: Measures the relative strength of buying and selling forces over a specific period[22] - **Factor Construction Process**: - Calculate the average gain (Gain) and average loss (Loss) over N days[22] - Formula: $ RSI = 100 - 100 / (1 + Gain / Loss) $ - RSI values range from 0 to 100, with higher values indicating stronger buying pressure[22] - **Factor Evaluation**: Provides a robust measure of market momentum and style preferences[22] --- Factor Backtesting Results 1. RSI - Growth/Value (300 Growth/300 Value): RSI 20-day = 53.02, RSI 60-day = 50.42, favoring value[25] - Small-cap/Large-cap (SW Small/SW Large): RSI 20-day = 48.84, RSI 60-day = 53.62, favoring large-cap[25]

截至4月29日，市场最新融资余额为17913.26亿元，较上个交易日环比减少13.50亿元，分行业统计，申 万所属一级行业有12个行业融资余额增加，公用事业行业融资余额增加最多，较上一日增加3.15亿元； 融资余额增加居前的行业还有汽车、通信、家用电器等，融资余额分别增加2.60亿元、1.06亿元、1.01 亿元；融资余额减少的行业有19个，医药生物、计算机、机械设备等行业融资余额减少较多，分别减少 4.27亿元、2.76亿元、2.35亿元。 以幅度进行统计，纺织服饰行业融资余额增幅最高，最新融资余额为67.95亿元，环比增长1.28%，其次 是公用事业、煤炭、钢铁行业，环比增幅分别为0.73%、0.51%、0.45%；融资余额环比降幅居前的行业 有商贸零售、美容护理、农林牧渔等，最新融资余额分别有214.77亿元、54.29亿元、259.07亿元，分别 下降0.97%、0.83%、0.73%。（数据宝） | 农林牧渔 | 259.07 | -1.90 | -0.73 | | --- | --- | --- | --- | | 商贸零售 | 214.77 | -2.11 | -0.97 | | 国防军工 | ...

Investment Rating - The report maintains an "Overweight" rating for the retail industry [4] Core Viewpoints - The Politburo meeting emphasizes expanding consumption and highlights investment opportunities in the travel chain for the upcoming May Day holiday, with a focus on service consumption as a key driver for domestic demand growth [1] - The retail sector is showing signs of recovery, with significant growth in travel bookings and a notable increase in cross-border travel demand [1][2] - The report suggests that the combination of policy support and market demand will likely propel the tourism market into a new phase, recommending attention to investment opportunities in the travel chain [1] Summary by Sections Weekly Market Review - The CITIC retail index rose by 0.95%, outperforming the CSI 300 index by 0.56 percentage points [2][16] - The retail sector ranked 14th among 30 CITIC primary industries this week, with supermarkets and convenience stores showing the largest gains [2][23] Industry Dynamics Tracking - Notable developments include the opening of Aldi's first store in Wuxi, Hema achieving its first annual profit, and the cancellation of the "refund only" policy by major e-commerce platforms [3][41] Investment Recommendations - Investment focus areas include: 1. Recovery in gold and jewelry sales driven by the Spring Festival effect and geopolitical risks, with recommendations for companies like Lao Feng Xiang and Zhou Da Sheng [4] 2. Gradual recovery in offline sales due to consumption-promoting policies, with a focus on traditional supermarkets like Gao Xin Retail and Yonghui Supermarket [4] 3. Optimized competition landscape in the e-commerce sector, with recommendations for platforms like Pinduoduo and Alibaba [4] Industry Data Tracking - In March, the total retail sales of consumer goods reached 4.09 trillion yuan, growing by 5.9% year-on-year, with a notable increase in online retail sales [27][29] - The report highlights the resilience of essential consumer goods and the mixed performance of discretionary spending categories [33][39]