量化市场追踪周报：权益新基发行回暖，关注季末日历效应-20250629

Quantitative Models and Construction Methods Model Name: Momentum Model - Construction Idea: The momentum model is designed to capture the trend-following behavior in the market, particularly effective during the end-of-quarter period when funds tend to adjust their positions based on recent performance trends [13][37] - Detailed Construction Process: The model identifies stocks with strong recent performance and allocates more weight to them. The formula used is: $ \text{Momentum Score} = \frac{\text{Price}{t} - \text{Price}{t-1}}{\text{Price}{t-1}} $ where $\text{Price}{t}$ represents the current price and $\text{Price}_{t-1}$ represents the price at the previous time period [13][37] - Evaluation: The momentum model performs well during the end-of-quarter period, aligning with the characteristic fund allocation behavior [13][37] Model Backtesting Results Momentum Model - Information Ratio (IR): 1.75 [38] - Excess Return: 1.95% [38] Quantitative Factors and Construction Methods Factor Name: Value Factor - Construction Idea: The value factor aims to identify undervalued stocks by comparing their market price to fundamental metrics such as earnings, book value, and cash flow [13][29] - Detailed Construction Process: The factor is constructed using the following formula: $ \text{Value Score} = \frac{\text{Earnings}}{\text{Price}} + \frac{\text{Book Value}}{\text{Price}} + \frac{\text{Cash Flow}}{\text{Price}} $ where $\text{Earnings}$, $\text{Book Value}$, and $\text{Cash Flow}$ are fundamental metrics, and $\text{Price}$ is the current market price [13][29] - Evaluation: The value factor has shown a significant shift in fund allocation from growth to value stocks since April, indicating its effectiveness in capturing the market's structural adjustments [29][33] Factor Backtesting Results Value Factor - Information Ratio (IR): 1.38 [38] - Excess Return: 1.45% [38]