低频选股因子周报（2026.03.20-2026.03.27）：小市值风格占优，预期净利润调整因子表现相对较优-20260328

Quantitative Models and Construction Methods - Model Name: CSI 300 Enhanced Portfolio Model Construction Idea: Enhance the performance of the CSI 300 index by leveraging quantitative strategies[5][13] Model Construction Process: The model constructs an enhanced portfolio based on quantitative factors and optimization techniques. It aims to generate excess returns over the CSI 300 index by selecting stocks with favorable factor exposures and minimizing tracking error relative to the benchmark[13][15] Model Evaluation: The model demonstrated positive excess returns over the benchmark in the short term and year-to-date performance, indicating effective factor selection and portfolio construction[15] - Model Name: CSI 500 Enhanced Portfolio Model Construction Idea: Enhance the performance of the CSI 500 index using quantitative factor-based strategies[5][13] Model Construction Process: Similar to the CSI 300 Enhanced Portfolio, this model selects stocks with favorable factor exposures and optimizes the portfolio to achieve excess returns while maintaining low tracking error relative to the CSI 500 index[13][15] Model Evaluation: The model showed mixed results, with short-term underperformance but positive year-to-date excess returns, suggesting room for improvement in factor selection or portfolio optimization[15] - Model Name: CSI 1000 Enhanced Portfolio Model Construction Idea: Enhance the performance of the CSI 1000 index by applying quantitative factor-based strategies[5][13] Model Construction Process: The model employs a similar approach to the CSI 300 and CSI 500 Enhanced Portfolios, focusing on factor-based stock selection and portfolio optimization to achieve excess returns over the CSI 1000 index[13][15] Model Evaluation: The model achieved positive excess returns both in the short term and year-to-date, indicating effective implementation of the strategy[15] Model Backtesting Results - CSI 300 Enhanced Portfolio: - Weekly return: -0.66% - Weekly excess return: 0.75% - Year-to-date return: 2.53% - Year-to-date excess return: 5.28%[5][13][15] - CSI 500 Enhanced Portfolio: - Weekly return: -0.47% - Weekly excess return: -0.18% - Year-to-date return: 3.06% - Year-to-date excess return: -0.58%[5][13][15] - CSI 1000 Enhanced Portfolio: - Weekly return: -0.25% - Weekly excess return: 0.23% - Year-to-date return: 4.77% - Year-to-date excess return: 2.78%[5][13][15] Quantitative Factors and Construction Methods - Factor Name: Market Capitalization (Size Factor) Factor Construction Idea: Capture the performance difference between small-cap and large-cap stocks[47] Factor Construction Process: Stocks are sorted by market capitalization, and the top 10% (small-cap) and bottom 10% (large-cap) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the factor's performance[46][47] Factor Evaluation: Small-cap stocks outperformed large-cap stocks, with positive multi-period excess returns, indicating the effectiveness of the size factor[47][48] - Factor Name: PB (Price-to-Book Ratio) Factor Construction Idea: Identify undervalued stocks by comparing their market price to book value[47] Factor Construction Process: Stocks are ranked by PB ratio, and the top 10% (low PB) and bottom 10% (high PB) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the factor's performance[46][47] Factor Evaluation: The PB factor showed mixed results, with positive returns in some periods and underperformance in others, suggesting sensitivity to market conditions[47][48] - Factor Name: Turnover Rate Factor Construction Idea: Measure investor activity and sentiment by analyzing stock turnover rates[51] Factor Construction Process: Stocks are ranked by turnover rate, and the top 10% (low turnover) and bottom 10% (high turnover) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the factor's performance[46][51] Factor Evaluation: The turnover rate factor contributed positive returns, particularly in the short term, indicating its relevance in capturing market sentiment[51][54] - Factor Name: Expected Net Profit Adjustment Factor Construction Idea: Reflect the market's expectations of future profitability adjustments[56] Factor Construction Process: Stocks are ranked by expected net profit adjustments, and the top 10% (high adjustment) and bottom 10% (low adjustment) are selected to form long and short portfolios, respectively. The difference in returns between these portfolios represents the factor's performance[46][56] Factor Evaluation: The factor consistently delivered positive returns, highlighting its effectiveness in capturing market expectations[56][57] Factor Backtesting Results - Market Capitalization (Size Factor): - Weekly long-short return: 2.51% - Year-to-date long-short return: 6.09%[47][48] - PB Factor: - Weekly long-short return: -0.62% - Year-to-date long-short return: 3.74%[47][48] - Turnover Rate Factor: - Weekly long-short return: 0.27% - Year-to-date long-short return: 6.09%[51][54] - Expected Net Profit Adjustment Factor: - Weekly long-short return: 0.50% - Year-to-date long-short return: 2.45%[56][57]