Market Overview - During the week of May 5 to May 9, the A-share market experienced fluctuations, with the Shanghai Composite Index, CSI 300, and ChiNext Index rising by 1.92%, 2.00%, and 3.27% respectively. The defense and military industry led the gains with an increase of 6.33% [6] - The current PE (TTM) for CSI 300 is 12.44 times, with a risk premium of 6.40%, which is above one standard deviation. The ChiNext Index has a PE (TTM) of 30.25, below one negative standard deviation [6] Economic Policies - On May 7, the State Council held a press conference announcing a comprehensive financial policy package, including a 0.5 percentage point reduction in the reserve requirement ratio and a 0.1 percentage point cut in policy interest rates. Additionally, a 500 billion yuan "service consumption and pension relending" program was established [6] - The People's Bank of China emphasized the need for moderately loose monetary policy in its first-quarter monetary policy report, highlighting that boosting consumption is key to expanding domestic demand and stabilizing growth [6] Trade Performance - In the first four months of this year, China's total goods trade value reached 14.14 trillion yuan, a year-on-year increase of 2.4%. In April alone, the trade value was 3.84 trillion yuan, growing by 5.6% year-on-year [6] - Exports in April amounted to 2.27 trillion yuan, up 9.3%, while imports were 1.57 trillion yuan, an increase of 0.8% [6] Market Sentiment - The recent financial policies have effectively boosted market confidence, with market indices recovering from the impacts of tariff shocks. However, the high tariff barriers may gradually affect the real economy, and the latest CPI and PPI data indicate ongoing risks of endogenous deflation [6] - The report anticipates that the A-share market will maintain wide fluctuations with a focus on structural trends, particularly favoring sectors like technology and military in the medium term [6] Valuation Analysis - In terms of valuation, sectors such as food and beverage, agriculture, and forestry are at historical low PE levels, while real estate, computers, and steel are at historical high PE levels. For PB valuation, agriculture, construction materials, and oil and gas are at historical lows [28][30] - The report includes detailed tables showing the current PE and PB valuations of various sectors, indicating their positions within the historical percentiles over the past decade [29][30]

- The report discusses two main quantitative models: the Diffusion Index Model and the GRU Factor Model[6][7][14][33] Diffusion Index Model 1. **Model Name**: Diffusion Index Model 2. **Model Construction Idea**: The model is based on the principle of price momentum, capturing industry trends by observing the diffusion index of various sectors[6][27] 3. **Model Construction Process**: - Calculate the diffusion index for each industry - Rank industries based on their diffusion index values - Select top industries for investment based on their diffusion index rankings - Formula: $ \text{Diffusion Index} = \frac{\text{Number of advancing stocks}}{\text{Total number of stocks}} $ 4. **Model Evaluation**: The model has shown varying performance over the years, with significant returns in some periods and notable drawdowns in others[26][30] 5. **Model Test Results**: - 2025 YTD excess return: -3.16%[25] - April 2025 excess return: -1.08%[30] - Weekly excess return: 0.43%[30] GRU Factor Model 1. **Model Name**: GRU Factor Model 2. **Model Construction Idea**: The model leverages GRU (Gated Recurrent Unit) deep learning networks to analyze minute-level price and volume data, aiming to capture trading information and trends[7][33] 3. **Model Construction Process**: - Collect minute-level price and volume data - Train a GRU network on historical data to identify patterns - Rank industries based on GRU factor scores - Select top industries for investment based on their GRU factor rankings - Formula: $ \text{GRU Factor} = \text{GRU Network Output} $ 4. **Model Evaluation**: The model has shown strong performance in short cycles but may struggle in long cycles or extreme market conditions[33][36] 5. **Model Test Results**: - 2025 YTD excess return: -3.33%[33] - April 2025 excess return: 0.92%[36] - Weekly excess return: -0.31%[36] Factor Rankings and Performance 1. **Diffusion Index Rankings (as of April 25, 2025)**: - Top industries: Banking (0.986), Non-Banking Financials (0.948), Comprehensive Financials (0.926), Computers (0.873), Retail (0.847), Communication (0.841)[14][27] - Bottom industries: Coal (0.105), Oil & Petrochemicals (0.175), Food & Beverage (0.257), Agriculture (0.396), Steel (0.423), Utilities (0.491)[27][28] 2. **GRU Factor Rankings (as of April 25, 2025)**: - Top industries: Banking (3.81), Transportation (2.77), Non-Banking Financials (2.37), Textiles & Apparel (2.34), Media (1.98), Light Manufacturing (1.81)[7][34] - Bottom industries: Automobiles (-5.31), Agriculture (-4.05), Pharmaceuticals (-4.03), Home Appliances (-3), Coal (-2.67), Defense (-2.64)[34] Weekly and Monthly Performance 1. **Diffusion Index Weekly Performance**: - Top weekly gainers: Construction (0.189), Real Estate (0.187), Building Materials (0.136), Light Manufacturing (0.089), Textiles & Apparel (0.081), Communication (0.069)[29] - Top weekly losers: Steel (-0.111), Utilities (-0.038), Non-Ferrous Metals (-0.018), Coal (0.003), Transportation (0.007), Computers (0.009)[29] 2. **GRU Factor Weekly Performance**: - Top weekly gainers: Banking, Textiles & Apparel, Consumer Services[34] - Top weekly losers: Coal, Automobiles, Construction[34]

" 欧米伽未来研究所 " 关注科技未来发展趋势，研究人类向欧米伽点演化过程中面临的重大机遇与挑战。将 不定期推荐和发布世界范围重要科技研究进展和未来趋势研究。（ 点击这里查看欧米伽理论 ） 在全球经济格局风云变幻，科技浪潮日新月异的今天，创新已成为衡量一个国家竞争力的核心标尺，是 驱动经济增长和社会进步的根本动力。刚刚过去的几年，世界经历了诸多挑战，从全球疫情到地缘政治 紧张，再到气候变化的严峻考验，这一切都使得国家层面的战略规划，特别是关于如何通过创新保持韧 性、抓住机遇显得尤为重要。 正是在这样的背景下，英国剑桥大学制造研究所 (Institute for Manufacturing, IfM) 旗下的剑桥工业创新 政策小组 (Cambridge Industrial Innovation Policy, CIIP) 于2025年3月发布了最新的《英国创新报告》。这 份报告并非仅仅是数据的罗列，它更像是一次对英国创新生态系统和工业表现的深度"体检"，旨在通过 翔实的数据和国际比较，为政策制定者、行业领袖以及所有关心英国未来发展的人们，提供一个清晰、 客观的参照系。 这份报告的独特之处在于，它突破了传统创新 ...