Core Insights - The Hong Kong IPO market is experiencing significant growth, with 21 companies going public from January 1 to May 13, representing an increase of 6 companies compared to the same period last year. The total IPO financing reached HKD 234.72 billion, a remarkable increase of 198.33% year-on-year [1][2]. Group 1: IPO Market Performance - In May alone, 8 companies submitted IPO applications, with a notable concentration on May 9 when 4 companies filed simultaneously. As of May 13, 5 companies have passed the hearing process, while over 150 are still under review [1]. - The upcoming IPO of CATL (宁德时代) is expected to be a major event, with an estimated fundraising of USD 4 billion to USD 5 billion [1]. - The primary sectors contributing to the IPOs include consumer services, non-ferrous metals, and biopharmaceuticals, with new consumption and technology companies dominating the landscape. The top three fundraising sectors are consumer services (HKD 60.03 billion), non-ferrous metals (HKD 56.23 billion), and biopharmaceuticals (HKD 26.69 billion) [1]. Group 2: Financing and Market Sentiment - Among the 21 IPOs, 11 companies raised over HKD 700 million, 9 companies raised over HKD 1 billion, and 4 companies raised over HKD 2 billion. The top three fundraising companies are Mixue Group (HKD 39.73 billion), Chifeng Jilong Gold Mining (HKD 32.45 billion), and Nanshan Aluminum International (HKD 23.79 billion) [2]. - The average first-day increase for new stocks is 11.83%, with 7 stocks rising over 20% and 4 stocks over 40%. The top performers are Yingen Biotechnology (116.70%), Mixue Group (43.21%), and Blucora (40.03%) [2]. - The first-day IPO failure rate is 23.81%, which is lower than the average failure rate of 34.29% for the entire year of 2024, indicating a recovering market sentiment [2]. Group 3: Market Drivers and Future Outlook - The surge in the IPO market is attributed to three main factors: advancements in AI technology boosting market sentiment, improved liquidity due to the Federal Reserve's interest rate cuts, and a noticeable profit-making effect from new stock investments attracting both institutional and individual investors [3]. - Looking ahead to 2025, the IPO market is expected to see several large A+H model listings, with total fundraising potentially recovering to 40% to 50% of pre-pandemic levels, estimated to reach USD 17 billion to USD 20 billion [3].

投资咨询业务资格： 证监许可[2011]1771号 宏 观 金 融 周 报 2025年5月12日 [Table_Title] 央行超预期降准和降息，提振国内市场情绪 ——股指期货周报 [table_main] 投资要点： 行情走势：上周沪深 300 指数收于 3846.16 点，较前值上升 2.00%；累计成交 10176 亿元，日均成交 2035 亿元，较前值下降 141 亿元。两市融资融券余额 为 17919 亿元。表现较好的前五名行业分别是国防军工(6.44%)、通信(5.43%)、 银行(3.98%)、机械(3.82%)、电力设备及新能源(3.80%)；表现较差的前五名行 业分别是医药(0.98%)、农林牧渔(0.84%)、电子元器件(0.72%)、房地产(0.65%)、 消费者服务(0.30%)。 期现基差行情：IF、IH、IC、IM 当月合约基差分别为-5.96 点、-0.41 点、 -19.32 点、-25.88 点。前一周同期值分别为-18.57 点、-5.96 点、-41.62 点、-44.72 点。 跨期价差行情：IF 合约次月-当月、当季-次季、次季-当季价差分别为-31.60 点、-6 ...

金融工程 | 金工定期报告 金融工程 证券研究报告 2025 年 05 月 11 日 量化择时周报：重大事件落地前维持中性仓位 重大事件落地前维持中性仓位 上周周报(20250505)认为：在风险偏好承压叠加市场格局触发下行趋势， 全 A 指数的 30 日均线构成压力位，但考虑到估值不高，建议在压力位突 破前维持中性仓位。最终 wind 全 A 周二突破 30 日均线，随后迎来上涨。 市值维度上，上周代表小市值股票的中证 2000 上涨 3.58%，中盘股中证 500 上涨 1.6%，沪深 300 上涨 2%，上证 50 上涨 1.93%;上周中信一级行业中， 表现较强行业包括国防军工、通信，国防军工上涨 6.44%，消费者服务、房 地产表现较弱，消费者服务微涨 0.3%。上周成交活跃度上，军工和通信资 金流入明显。 从择时体系来看，我们定义的用来区别市场整体环境的 wind 全 A 长期均 线（120 日）和短期均线（20 日）的距离开始收窄，最新数据显示 20 日 线收于 4946，120 日线收于 5088 点，短期均线继续位于长线均线之下， 两线差值由上周的-3.63%缩小至-2.80%，距离绝对值开 ...

Group 1 - The core index, the CSI Consumer Leaders Index, rose by 0.49% to 12,951.44 points with a trading volume of 23.285 billion yuan on May 8 [1] - Over the past month, the CSI Consumer Leaders Index increased by 6.58%, while it rose by 1.32% over the last three months, but has decreased by 1.75% year-to-date [2] - The index comprises 50 large-cap, high-quality listed companies from the consumer discretionary and staples sectors, reflecting the overall performance of consumer leader stocks [2] Group 2 - The top ten weighted stocks in the CSI Consumer Leaders Index include: Kweichow Moutai (15.68%), Wuliangye (13.28%), Gree Electric (10.82%), Yili (9.76%), Haier Smart Home (4.95%), Fuyao Glass (4.84%), Focus Media (3.87%), Haitian Flavoring (3.69%), China Duty Free Group (3.21%), and Haida Group (2.32%) [2] - The index's holdings are primarily listed on the Shanghai Stock Exchange (63.50%) and Shenzhen Stock Exchange (36.50%) [2] - The industry composition of the index includes: Food, Beverage, and Tobacco (44.12%), Durable Goods (21.48%), Passenger Cars and Parts (15.71%), Media (5.18%), Agriculture, Animal Husbandry, and Fishery (4.79%), Retail (3.81%), Textiles, Apparel, and Jewelry (2.08%), Household and Personal Products (1.46%), and Consumer Services (1.36%) [2] Group 3 - The index samples are adjusted semi-annually, with adjustments occurring on the next trading day after the second Friday of June and December [3] - Weight factors are generally fixed until the next scheduled adjustment, with special circumstances allowing for temporary adjustments [3] - Public funds tracking the CSI Consumer Leaders Index include: Huabao CSI Consumer Leaders C, China Merchants CSI Consumer Leaders Index Enhanced A, China Merchants CSI Consumer Leaders Index Enhanced C, ICBC CSI Consumer Leaders ETF, Huabao CSI Consumer Leaders A, and Huabao CSI Consumer Leaders ETF [3]

Group 1 - The core index of the China Securities Index for Hong Kong Stock Connect leisure consumption theme has shown a significant increase, with a 13.33% rise in the past month, 5.47% in the past three months, and 6.86% year-to-date [1] - The index consists of 40 listed companies involved in the leisure consumption industry, reflecting the overall performance of these companies within the Hong Kong Stock Connect [1] - The index is based on a starting point of 1000.0 points as of December 30, 2016 [1] Group 2 - The top ten weighted companies in the index include Pop Mart (18.77%), Anta Sports (11.04%), Yum China (8.59%), Meituan-W (8.14%), Shenzhou International (7.59%), Li Ning (5.87%), Haidilao (5.74%), Tongcheng Travel (4.32%), Samsonite (2.98%), and Chow Tai Fook (2.95%) [1] - The index is exclusively composed of stocks listed on the Hong Kong Stock Exchange, with a 100% allocation [1] - The industry composition of the index includes textiles and apparel with 38.68%, consumer services at 33.32%, durable goods at 21.82%, media at 3.83%, and retail at 2.34% [1] Group 3 - The index samples are adjusted biannually, with changes implemented on the next trading day following the second Friday of June and December [2] - Weight factors are generally fixed until the next scheduled adjustment, with special circumstances allowing for temporary adjustments [2] - Companies that are delisted or undergo mergers, acquisitions, or splits will be handled according to specific calculation and maintenance guidelines [2]

Summary of Key Points from the Conference Call Industry Overview - The conference call discusses the performance of the Hong Kong stock market (港股) in 2024, highlighting a recovery trend in overall earnings growth with a 1.2% increase in revenue and a 9.8% year-on-year growth in net profit attributable to shareholders [1][3][6]. Core Insights and Arguments - **Earnings Growth**: The second half of 2024 saw a significant acceleration in earnings, with a year-on-year increase of 13.3% [1][6]. - **Key Sectors Driving Growth**: - The information technology sector benefited from breakthroughs in AI technology, with net profit growth of 77.4% in the software and services sub-sector and 76.4% in the technology hardware and equipment sub-sector [1][10]. - The financial sector, particularly the insurance industry, experienced a 70.8% increase in net profit, while diversified financial services saw a 20.5% growth [1][10]. - The healthcare sector, including pharmaceuticals, biotechnology, and life sciences, improved profitability by nearly 20 percentage points [1][10]. - **Struggling Sectors**: The consumer sector showed weak growth, with significant declines in return on equity (ROE) for household and personal products, and food retail. The optional consumer retail sub-sector's profit growth decreased by 36 percentage points, while media and consumer services saw declines of approximately 18% and 19% respectively [1][11]. Financial Metrics - **Return on Equity (ROE)**: The ROE for Hong Kong stocks rose to 7% in 2024, up from 6.7% in the first half of the year, but still below the average of around 10% since 2016. The DuPont analysis indicated that the increase in asset turnover was the primary driver of the ROE improvement [1][7][8]. - **Revenue Trends**: The revenue growth rate for Hong Kong stocks showed signs of bottoming out, with a 1.2% increase for the year, slightly down from 1.9% in the first half of 2024 [1][5]. Comparative Analysis - **Performance vs. A-shares**: The earnings recovery speed of Hong Kong stocks is superior to that of A-shares, which reported negative growth rates of -0.2% for the year and -0.5% for the first half of 2025 in terms of revenue and -2.7% for both periods in net profit [4][6]. Future Outlook - **Support Factors for 2025**: The global technology cycle is expected to rebound, with the AI-driven industrial revolution continuing to support the performance of the information technology sector. Additionally, macroeconomic policies aimed at stabilizing growth are anticipated to benefit mainland companies, which constitute over 60% of the market [4][12].

Core Insights - The "New National Nine Policies" emphasize market value management and dividend regulation, promoting valuation recovery for undervalued state-owned enterprises, while highlighting the importance of "new productive forces" for the growth of technology companies [1] - The "Everyday Brand 100 Index" has seen significant growth, achieving a maximum annual increase of 17.37% and reaching new highs [1][3] Market Performance - The Everyday Brand 100 Index reached a new high of 1181 points, marking a strong performance in its third year despite a complex international environment [2] - The index experienced a significant rebound, rising from 820 points to 1146 points in just ten trading days, reflecting a nearly 40% increase following the introduction of the "924" policy [2][3] Economic Indicators - Key economic indicators such as industrial production, fixed asset investment, and retail sales growth have been below expectations, leading to increased market concerns about corporate profitability [2] - The index's performance has outpaced major A-share indices, demonstrating strong investment elasticity and resilience against risks [5] Valuation Metrics - As of May 7, the Everyday Brand 100 Index had a price-to-earnings (P/E) ratio of 9.5 and a price-to-book (P/B) ratio of 1.17, which are significantly lower than the benchmark indices [7] - The index's valuation advantage is evident, as it remains below the P/E ratios of the Shanghai 50 and CSI 100 indices, as well as the Hang Seng Technology Index [7] Component Stocks - The Everyday Brand 100 Index includes leading companies across various sectors, with significant weightings in Tencent, Alibaba, and Kweichow Moutai, among others [9][10] - The index spans A-shares, Hong Kong stocks, and U.S. stocks, with A-shares accounting for 49.07% and Hong Kong stocks 47.23% of the index [9] Future Outlook - The index is expected to continue its stable operation above the 1000-point mark, with potential for further brand value and valuation increases as component companies enhance their competitive strengths [6] - The rise of domestic AI models and digital transformation is anticipated to reshape brand value and growth logic for listed companies, contributing to the index's growth potential [13]

Quantitative Models and Construction 1. Model Name: CDS Timing Strategy - **Model Construction Idea**: The model uses the 20-day difference signal of China's sovereign CDS as a timing indicator for Hong Kong stocks, leveraging the negative correlation between CDS and stock performance[12][13] - **Model Construction Process**: 1. Calculate the 20-day difference of China's sovereign CDS 2. Use the signal to time Hong Kong stock investments 3. Evaluate the annualized excess return relative to the benchmark - **Model Evaluation**: The model demonstrates a strong fit with Hong Kong stock returns and provides a reliable timing signal[12][13] 2. Model Name: Duration Timing Strategy - **Model Construction Idea**: The model estimates the expected return of government bonds for any duration and holding period using a multi-step process[17] - **Model Construction Process**: 1. Decompose government bond yields 2. Predict interest rates using modeling techniques 3. Simulate scenarios via Monte Carlo methods 4. Calculate expected returns for different durations and holding periods - **Model Evaluation**: The strategy is effective for short-term bond timing and provides actionable insights for duration allocation[17][19] 3. Model Name: Equity Index Return Prediction Model - **Model Construction Idea**: Predict the future returns of broad-based indices using a combination of macroeconomic and valuation factors[22][27] - **Model Construction Process**: 1. Use macroeconomic indicators and valuation metrics 2. Apply the model to predict returns for indices like CSI 300, CSI 500, etc. 3. Compare predicted returns to historical benchmarks - **Model Evaluation**: The model shows strong predictive power for large-cap indices like CSI 300, while small-cap indices like CSI 500 exhibit lower reliability[22][27] 4. Model Name: Industry Rotation Strategy - **Model Construction Idea**: Evaluate industries based on momentum, turnover, volatility, and beta to identify rotation opportunities[60] - **Model Construction Process**: 1. Calculate 12-month information ratios for industry momentum 2. Assess turnover, volatility, and beta for crowding metrics 3. Combine these dimensions to rank industries - **Model Evaluation**: The strategy effectively identifies high-potential industries and provides actionable rotation insights[60][63] 5. Model Name: Odds + Win Rate Strategy - **Model Construction Idea**: Combine odds and win rate metrics to allocate assets dynamically[65][70] - **Model Construction Process**: 1. Construct odds and win rate indicators for each asset 2. Combine the two metrics into a unified score 3. Allocate assets based on the combined score - **Model Evaluation**: The strategy balances risk and return effectively, achieving stable performance over time[65][70] --- Model Backtest Results 1. CDS Timing Strategy - Annualized Return: 11.8% - Annualized Volatility: 13.9% - Maximum Drawdown: 19.1% - Sharpe Ratio: 0.851[15] 2. Duration Timing Strategy - Annualized Return: 6.8% - Annualized Volatility: 2.1% - Maximum Drawdown: 2.3% - Calmar Ratio: 2.94[19] 3. Equity Index Return Prediction Model - CSI 300: Predicted Return 19.7% - CSI 500: Predicted Return -27.8%[22][26] 4. Industry Rotation Strategy - Annualized Excess Return: 12.2% (since 2011) - Tracking Error: 10.9% - Maximum Drawdown: 25.4% - IR: 1.12[61] 5. Odds + Win Rate Strategy - Annualized Return: 6.9% (since 2011) - Annualized Volatility: 2.3% - Maximum Drawdown: 2.8% - Sharpe Ratio: 3.03[72] --- Quantitative Factors and Construction 1. Factor Name: Quality Factor - **Factor Construction Idea**: Combines odds, trend, and crowding metrics to evaluate quality stocks[46] - **Factor Construction Process**: 1. Calculate odds (valuation) at 1.3 standard deviations 2. Assess trend at -0.1 standard deviations 3. Measure crowding at -1.1 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: High composite score indicates strong potential for long-term allocation[46] 2. Factor Name: Growth Factor - **Factor Construction Idea**: Evaluates growth stocks based on trend, odds, and crowding metrics[47] - **Factor Construction Process**: 1. Calculate trend at 0.5 standard deviations 2. Assess odds at -1.1 standard deviations 3. Measure crowding at 0.2 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: Low composite score suggests limited allocation value[47] 3. Factor Name: Dividend Factor - **Factor Construction Idea**: Focuses on dividend-paying stocks with moderate odds and low crowding[50] - **Factor Construction Process**: 1. Calculate trend at -1.7 standard deviations 2. Assess odds at -0.2 standard deviations 3. Measure crowding at -1.6 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: Low composite score indicates limited allocation potential[50] 4. Factor Name: Small-Cap Factor - **Factor Construction Idea**: Evaluates small-cap stocks based on trend, odds, and crowding metrics[53] - **Factor Construction Process**: 1. Calculate trend at -0.06 standard deviations 2. Assess odds at -0.05 standard deviations 3. Measure crowding at 0.3 standard deviations 4. Combine metrics into a composite score - **Factor Evaluation**: High uncertainty and low composite score suggest caution[53] --- Factor Backtest Results 1. Quality Factor - Odds: 1.3 SD - Trend: -0.1 SD - Crowding: -1.1 SD - Composite Score: 3[46] 2. Growth Factor - Odds: -1.1 SD - Trend: 0.5 SD - Crowding: 0.2 SD - Composite Score: 0[47] 3. Dividend Factor - Odds: -0.2 SD - Trend: -1.7 SD - Crowding: -1.6 SD - Composite Score: 0[50] 4. Small-Cap Factor - Odds: -0.05 SD - Trend: -0.06 SD - Crowding: 0.3 SD - Composite Score: 0[53]

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]

Market Performance - In April, A-shares experienced significant volatility, with the Shanghai Composite Index down 1.7% to 3279.03 points, the Shenzhen Component Index down 5.75% to 9899.82 points, and the ChiNext Index down 7.4% to 1948.03 points [1][2]. Future Outlook - Analysts are optimistic about the A-share market in May, suggesting it is a good time for positioning, as historical data shows that the Shanghai Composite Index has risen in 7 out of the last 15 years during the 10 trading days following the May Day holiday [2][3]. Sector Performance - Historical analysis indicates that consumer and large financial sectors tend to perform well in the 10 trading days before and after the May Day holiday, driven by policy support and upward industry trends [3][4]. Investment Strategies - Analysts recommend focusing on three asset categories: stable assets (high dividends, gold), self-sufficient industrial chains, and domestic consumption [4][5]. - There is a consensus that the Chinese stock market's upward momentum is not over, with suggestions to increase allocations to Chinese assets due to improved economic policies and a decrease in risk premiums [4][5]. Structural Opportunities - May is expected to see a structural recovery in A-shares, with a focus on consumption, technology, and dividend stocks as key investment themes [5].