多因子选股周报:估值因子表现出色,四大指增组合本周均跑赢基准-20260307
Guoxin Securities·2026-03-07 07:27

Quantitative Models and Factor Construction Quantitative Models and Construction Methods 1. Model Name: Guosen JinGong Index Enhanced Portfolio - Model Construction Idea: The model aims to outperform its respective benchmarks by constructing enhanced portfolios based on multiple factors[10]. - Model Construction Process: The construction process includes three main components: return prediction, risk control, and portfolio optimization. The model is built using the following steps: 1. Return Prediction: Predicting the returns of stocks based on multiple factors. 2. Risk Control: Implementing constraints to control the risk exposure of the portfolio. 3. Portfolio Optimization: Optimizing the portfolio to maximize the expected return while adhering to the risk constraints[11]. - Model Evaluation: The model aims to consistently outperform its benchmarks, such as the CSI 300, CSI 500, CSI 1000, and CSI A500 indices[10][11]. Model Backtesting Results Guosen JinGong Index Enhanced Portfolio - CSI 300 Index Enhanced Portfolio: Weekly excess return 0.31%, annual excess return 3.36%[13]. - CSI 500 Index Enhanced Portfolio: Weekly excess return 1.11%, annual excess return -1.15%[13]. - CSI 1000 Index Enhanced Portfolio: Weekly excess return 1.60%, annual excess return 3.40%[13]. - CSI A500 Index Enhanced Portfolio: Weekly excess return 0.05%, annual excess return 3.77%[13]. Quantitative Factors and Construction Methods 1. Factor Name: EPTTM (Earnings to Price TTM) - Factor Construction Idea: This factor measures the earnings yield of a stock, which is the inverse of the price-to-earnings ratio[16]. - Factor Construction Process: - Formula: $ \text{EPTTM} = \frac{\text{Net Income TTM}}{\text{Market Capitalization}} $ - The numerator represents the net income over the trailing twelve months (TTM), and the denominator represents the market capitalization of the stock[16]. - Factor Evaluation: This factor is used to identify undervalued stocks with high earnings yield[16]. 2. Factor Name: Expected EPTTM - Factor Construction Idea: This factor uses analysts' consensus earnings estimates to calculate the expected earnings yield[16]. - Factor Construction Process: - Formula: $ \text{Expected EPTTM} = \frac{\text{Consensus Earnings Estimate}}{\text{Market Capitalization}} $ - The numerator represents the consensus earnings estimate for the next twelve months, and the denominator represents the market capitalization of the stock[16]. - Factor Evaluation: This factor helps in identifying stocks that are expected to have high earnings yield based on analysts' forecasts[16]. 3. Factor Name: BP (Book to Price) - Factor Construction Idea: This factor measures the book value yield of a stock, which is the inverse of the price-to-book ratio[16]. - Factor Construction Process: - Formula: $ \text{BP} = \frac{\text{Book Value}}{\text{Market Capitalization}} $ - The numerator represents the book value of the stock, and the denominator represents the market capitalization[16]. - Factor Evaluation: This factor is used to identify undervalued stocks with high book value yield[16]. Factor Backtesting Results CSI 300 Index Sample Space - EPTTM: Weekly excess return 1.46%, monthly excess return 0.97%, annualized historical return 4.15%[18]. - Expected EPTTM: Weekly excess return 1.44%, monthly excess return 0.66%, annualized historical return 3.69%[18]. - BP: Weekly excess return 0.55%, monthly excess return 0.09%, annualized historical return 2.66%[18]. CSI 500 Index Sample Space - Expected EPTTM: Weekly excess return 1.75%, monthly excess return 1.86%, annualized historical return 2.92%[20]. - Single Quarter EP: Weekly excess return 1.71%, monthly excess return 1.20%, annualized historical return 7.39%[20]. - EPTTM: Weekly excess return 1.66%, monthly excess return 2.84%, annualized historical return 4.41%[20]. CSI 1000 Index Sample Space - Expected EPTTM: Weekly excess return 2.02%, monthly excess return 1.19%, annualized historical return 2.87%[22]. - BP: Weekly excess return 1.87%, monthly excess return 2.25%, annualized historical return 2.34%[22]. - Expected BP: Weekly excess return 1.86%, monthly excess return 1.98%, annualized historical return 2.48%[22]. CSI A500 Index Sample Space - Expected EPTTM: Weekly excess return 2.44%, monthly excess return 1.57%, annualized historical return 1.81%[24]. - EPTTM: Weekly excess return 2.08%, monthly excess return 2.12%, annualized historical return 2.97%[24]. - Single Quarter EP: Weekly excess return 1.83%, monthly excess return 2.21%, annualized historical return 5.16%[24]. Public Fund Heavy Index Sample Space - Single Quarter EP: Weekly excess return 1.72%, monthly excess return 1.84%, annualized historical return 3.01%[26]. - EPTTM: Weekly excess return 1.68%, monthly excess return 2.47%, annualized historical return 0.88%[26]. - Expected EPTTM: Weekly excess return 1.66%, monthly excess return 1.78%, annualized historical return 1.03%[26].

多因子选股周报:估值因子表现出色,四大指增组合本周均跑赢基准-20260307 - Reportify