量化专题报告：从基金视角把握“主题”到“主线”的机会

• The report introduces a quantitative model named "Mainline Industry Combination" which is constructed based on the alpha performance of heavy stocks held by industry-focused funds and their commonality in industry distribution. The model identifies high alpha industry-focused funds by calculating the monthly excess returns of their heavy stocks relative to their respective industry indices, synthesizing monthly alpha values, and applying a linear time decay weighted scoring system to select the top 20% of funds. It then verifies consensus at the industry level by analyzing the concentration of these selected funds in specific industries, determining potential mainline industries for investment[28][29][30] - The report evaluates the "Mainline Industry Combination" model as effective in capturing core market trends during clear industry cycles, such as food and beverage in 2016, pharmaceuticals in 2019-2020, and TMT in 2024-2025. However, its performance is limited during periods of rapid industry rotation or unclear market mainlines due to signal bias or increased empty positions[36][39][42] - The backtesting results of the "Mainline Industry Combination" model show an annualized return of 20.91% from 2016 to January 2026, with an annualized excess return of 14.62% compared to equity-biased fund indices. The model demonstrates high annual win rates, particularly during clear industry trend periods, but faces challenges in accumulating excess returns during rapid market rotations[36][38][39] - The report introduces another quantitative model named "Industry Rotation Fund Combination," which is constructed by identifying non-industry-focused funds with high industry turnover rates. The model calculates the turnover rate of fund holdings by comparing the proportion of heavy stocks in different industries across consecutive periods, and selects the top 30% of funds with the highest turnover rates. Further, it uses factor backtesting to identify funds with high dynamic returns and small-cap stock preferences, forming a combination of the top 10 funds with the highest scores[61][64][68] - The "Industry Rotation Fund Combination" model is evaluated as highly adaptable to volatile markets with frequent industry rotations, complementing the "Mainline Industry Combination" model. It performs better in periods lacking clear market mainlines, such as 2018 and 2023, by actively switching industries to adapt to changing market trends[68][69][70] - The backtesting results of the "Industry Rotation Fund Combination" model show an annualized return of 15.05% from 2016 to January 2026, with an annualized excess return of 8.60% compared to equity-biased fund indices. The model demonstrates strong adaptability in volatile markets, achieving higher excess returns during periods of rapid industry rotation[68][69][70] - The report combines the two strategies, "Mainline Industry Combination" and "Industry Rotation Fund Combination," to form a comprehensive model named "Capturing Industry Opportunities Combination." This model adjusts its strategy based on market liquidity changes, using the monthly change in the average daily trading volume of the CSI 800 Index over the past 200 trading days as a leading indicator. When market liquidity expands, the mainline strategy is preferred, while the rotation strategy is favored during liquidity contraction. The combined model achieves an annualized return of 19.61% and an annualized Sharpe ratio of 0.77, with an annualized excess return of 13.32% compared to equity-biased fund indices[72][73][76]