多因子选股周报：动量因子表现出色，中证1000增强组合年内超额19.00%-20251025

========= - The Guosen JinGong Index Enhanced Portfolio is constructed using a multi-factor stock selection approach, targeting to outperform benchmarks such as the CSI 300, CSI 500, CSI 1000, and CSI A500 indices[10][11] - The construction process of the Guosen JinGong Index Enhanced Portfolio includes three main components: return prediction, risk control, and portfolio optimization[11] - The performance of the Guosen JinGong Index Enhanced Portfolio for the week is as follows: CSI 300 Index Enhanced Portfolio achieved an excess return of 0.53%, CSI 500 Index Enhanced Portfolio achieved an excess return of 0.45%, CSI 1000 Index Enhanced Portfolio achieved an excess return of 0.34%, and CSI A500 Index Enhanced Portfolio achieved an excess return of -0.46%[4][13] Factor Construction and Performance - Factors are monitored across different stock selection spaces, including the CSI 300, CSI 500, CSI 1000, and CSI A500 indices, as well as the Public Fund Heavyweight Index[10][14] - The factor library includes over 30 common factors categorized into valuation, reversal, growth, profitability, liquidity, corporate governance, and analyst dimensions[15][16] Factor Performance in Different Indices - CSI 300 Index: Factors such as single-quarter ROA, single-quarter ROE, and one-year momentum performed well in the past week, while three-month reversal, one-month volatility, and three-month turnover performed poorly[1][18] - CSI 500 Index: Factors such as SPTTM, executive compensation, and three-month institutional coverage performed well in the past week, while EPTTM one-year percentile, illiquidity shock, and three-month reversal performed poorly[1][19] - CSI 1000 Index: Factors such as three-month earnings revisions, standardized unexpected revenue, and standardized unexpected earnings performed well in the past week, while three-month reversal, BP, and expected EPTTM performed poorly[1][21] - CSI A500 Index: Factors such as one-year momentum, single-quarter revenue growth, and DELTAROA performed well in the past week, while three-month reversal, one-month volatility, and EPTTM one-year percentile performed poorly[1][23] - Public Fund Heavyweight Index: Factors such as one-year momentum, standardized unexpected revenue, and three-month earnings revisions performed well in the past week, while three-month reversal, one-month volatility, and three-month volatility performed poorly[1][25] Public Fund Index Enhanced Product Performance - CSI 300 Index Enhanced Products: In the past week, the highest excess return was 2.02%, the lowest was -1.13%, and the median was 0.06%. In the past month, the highest excess return was 1.87%, the lowest was -1.02%, and the median was 0.02%[2][31] - CSI 500 Index Enhanced Products: In the past week, the highest excess return was 1.24%, the lowest was -1.61%, and the median was 0.19%. In the past month, the highest excess return was 2.66%, the lowest was -1.07%, and the median was 1.33%[2][34] - CSI 1000 Index Enhanced Products: In the past week, the highest excess return was 1.52%, the lowest was -1.23%, and the median was 0.45%. In the past month, the highest excess return was 3.71%, the lowest was -0.71%, and the median was 1.90%[2][36] - CSI A500 Index Enhanced Products: In the past week, the highest excess return was 0.84%, the lowest was -0.53%, and the median was 0.03%. In the past month, the highest excess return was 2.16%, the lowest was -1.28%, and the median was 0.53%[3][39] Factor MFE Portfolio Construction - The MFE (Maximized Factor Exposure) portfolio is constructed using an optimization model to maximize single-factor exposure while controlling for various constraints such as style exposure, industry exposure, individual stock weight deviation, component stock weight proportion, and individual stock weight limits[40][41] - The optimization model's objective function is to maximize single-factor exposure, with constraints including style factor deviation, industry deviation, individual stock deviation, component stock weight limits, and no short selling[41][42] - The construction process involves setting constraints, constructing MFE portfolios at the end of each month, and calculating historical returns and risk statistics for the MFE portfolios[44] =========