Investment Rating - The report does not explicitly provide an investment rating for the industry, but it discusses various quantitative strategies that have shown potential for generating excess returns. Core Insights - The report highlights the challenges and breakthroughs in quantitative industry rotation, emphasizing the limitations of traditional fundamental factors and the effectiveness of technical indicators like residual momentum and crowding indicators in generating excess returns [1][11]. - It proposes three key strategies for enhancing industry rotation: style timing to assist industry rotation, combining industry rotation with CTA signals, and applying large language models to industry rotation [1]. Summary by Sections Quantitative Industry Rotation Challenges - Traditional fundamental factors have faced significant challenges, particularly in 2024, where they nearly failed entirely due to unstable temporal logic and poor comparability across sectors [1][11]. - Technical indicators, such as residual momentum and crowding metrics, have proven resilient and continue to generate excess returns for investors [1][11]. Residual Momentum Factor - The residual momentum factor captures price-driving factors like industrial policy and technological advancements by excluding market and style influences. An improved version incorporates volatility reversal effects, achieving an annualized excess return of 12.90% from January 1, 2017, to February 28, 2026 [2][22]. - Despite a significant drawdown in excess returns from Q3 2024 to Q2 2025, the strategy quickly recovered and reached new highs in early 2026 [2][22]. Crowding Indicator - The crowding indicator model, based on threshold testing, successfully identified trading risks in sectors like defense, industrial metals, and precious metals at the beginning of 2026. A score of 3 or 4 on the crowding scale often precedes sector index peaks [3][29]. - The model's backtesting indicates that avoiding high-crowding sectors positively contributes to long-term performance [3][29]. Machine Learning Empowerment - Genetic programming, a classic factor mining method, has been enhanced through GPU acceleration and multi-objective frameworks, resulting in improved performance. From October 10, 2022, to February 28, 2026, the strategy achieved an annualized excess return of 25.39% [4][51]. - The report suggests that large language models may provide a breakthrough in understanding non-structured information for fundamental industry rotation [4][51]. Future Outlook - The report anticipates a "second half" for quantitative industry rotation, focusing on integrating style timing, CTA signals, and advanced machine learning techniques to adapt to market changes [1][4].

Core Insights - The report highlights the current allocation of the Bank of China’s multi-strategy industry rotation system, with significant positions in non-bank financials (11.8%), banks (9.3%), and transportation (9.1%) [1] - The average weekly return for the CITIC primary industries was 3.0%, with the best-performing sectors being defense and military (6.7%), communication (5.9%), and construction materials (5.7%) [3][10] - The composite strategy achieved a cumulative return of 31.4% year-to-date, outperforming the CITIC primary industry equal-weight benchmark by 5.3% [3] Industry Performance Review - The best-performing sectors for the week included defense and military (6.7%), communication (5.9%), and construction materials (5.7%), while the worst performers were coal (-1.4%), banks (-1.0%), and food and beverage (0.7%) [10][11] - The average monthly return for the past month was 3.3%, indicating a stable performance across sectors [10] Valuation Risk Warning - The report identifies several industries with high valuation risks, including retail, computer, non-ferrous metals, defense and military, petrochemicals, and electronics, which are currently above the 95th percentile of their historical PB valuations [12][13] Single Strategy Rankings and Recent Performance - The top three industries based on the high prosperity industry rotation strategy (S1) are machinery, coal, and non-bank financials [15][16] - The implied sentiment momentum strategy (S2) ranks the top industries as basic chemicals, electronics, and communication [20] - The macro style rotation strategy (S3) identifies the top sectors as banks, home appliances, electric power and utilities, petrochemicals, transportation, and construction [25] Strategy Composite - The composite strategy has increased its positions in upstream and midstream cyclical sectors while reducing exposure to midstream non-cyclical sectors [3] - The highest weight strategy currently is the traditional multi-factor scoring strategy (S7) at 23.8%, while the macro style industry rotation strategy (S3) has the lowest weight at 7.1% [3]

Group 1: Core Insights - The current allocation of the Bank of China multi-strategy industry configuration system includes Non-Bank Financials (11.6%), Basic Chemicals (8.7%), Agriculture, Forestry, Animal Husbandry, and Fishery (7.8%), and others [1] - The average weekly return for the CITIC primary industries is 1.4%, with the best-performing sectors being Non-Ferrous Metals (11.0%), Defense Industry (4.3%), and Steel (4.1%) [3][10] - The composite strategy achieved a cumulative return of 2.5% this week, outperforming the CITIC primary industry equal-weight benchmark by 0.9% [3] Group 2: Industry Performance Review - The worst-performing sectors this week include Consumer Services (-1.8%), Communication (-1.6%), and Media (-1.0%) [10] - Year-to-date, the composite strategy has gained 27.8%, while the benchmark has returned 24.1%, resulting in an excess return of 3.8% [3] - The highest excess return among individual strategies this year is from the Traditional Multi-Factor Scoring Strategy (15.0%) [3] Group 3: Valuation Risk Warning - The current PB valuation for sectors such as Retail, Media, Computers, Electronics, Automotive, Defense Industry, and Non-Ferrous Metals exceeds the 95th percentile of their historical PB valuations, triggering a high valuation warning [12][13] Group 4: Strategy Rankings and Performance - The top three industries based on the High Prosperity Industry Rotation Strategy are Non-Bank Financials, Agriculture, Forestry, Animal Husbandry, and Fishery, and Communication [15] - The top three industries based on the Implied Sentiment Momentum Strategy are Machinery, Electric Power Equipment and New Energy, and Non-Ferrous Metals [19] - The current macro indicators favor the following six industries: Banking, Oil and Petrochemicals, Transportation, Electric Power and Public Utilities, Construction, and Home Appliances [23]