Quantitative Models and Construction Methods 1. Model Name: Maximized Factor Exposure Portfolio (MFE) - Model Construction Idea: The MFE portfolio is designed to maximize the exposure of a single factor while controlling for various constraints such as industry exposure, style exposure, stock weight deviation, and turnover rate[64][65] - Model Construction Process: - The optimization model is formulated as follows: - Explanation of Parameters: - : Weighted exposure of the portfolio to the factor - : Portfolio weight vector - : Benchmark weight vector - : Matrices representing factor, industry, and benchmark exposures - : Constraints on factor exposure, industry exposure, stock weight deviation, and turnover rate - Constraints include: - Limiting style and industry deviations relative to the benchmark - Controlling stock weight deviations and turnover rates - Ensuring full investment (weights sum to 1) and no short selling[64][65][67] - The portfolio is rebalanced monthly, and historical returns are calculated after deducting transaction costs to evaluate factor effectiveness[68] - Model Evaluation: The MFE model effectively isolates the impact of individual factors while adhering to practical constraints, making it a robust tool for factor evaluation[64][65] --- Quantitative Factors and Construction Methods 1. Factor Name: Trend - Factor Construction Idea: Captures the momentum of stock price trends over different time horizons[16] - Factor Construction Process: - Two variations: - Trend_120: - Trend_240: - : Exponentially Weighted Moving Average[16] - Factor Evaluation: Demonstrates strong performance in capturing price continuation patterns, particularly in volatile markets[11][13] 2. Factor Name: Volatility - Factor Construction Idea: Measures the variability of stock returns over a specified period[16] - Factor Construction Process: - Variants include: - Stdvol: Standard deviation of daily returns over the past 243 days - Ivff: Fama-French 3-factor idiosyncratic volatility over the past 243 days - Range: over the past 243 days - MaxRet_6: Average of the six highest daily returns over the past 243 days - MinRet_6: Average of the six lowest daily returns over the past 243 days[16] - Factor Evaluation: Effective in identifying high-risk stocks, though performance may vary across market conditions[11][13] 3. Factor Name: BP (Book-to-Price Ratio) - Factor Construction Idea: Represents the valuation of a stock relative to its book value[20] - Factor Construction Process: - Formula: [20] - Factor Evaluation: Consistently performs well in value-oriented strategies, particularly in markets favoring undervalued stocks[42][43] 4. Factor Name: Three-Month Institutional Coverage - Factor Construction Idea: Measures the level of analyst coverage over the past three months[20] - Factor Construction Process: - Formula: Count of research reports published by institutions over the past three months[20] - Factor Evaluation: Strongly correlated with market sentiment and stock visibility, often leading to positive price momentum[8][46] --- Factor Backtesting Results 1. Trend Factor - Recent Weekly Return: 2.39% - Recent Monthly Return: 5.57% - Year-to-Date Return: -0.70% - Annualized Return (1 Year): 24.36% - Annualized Return (10 Years): 14.25%[11][13] 2. Volatility Factor - Recent Weekly Return: -1.75% - Recent Monthly Return: -3.95% - Year-to-Date Return: 4.10% - Annualized Return (1 Year): 24.26% - Annualized Return (10 Years): -13.16%[11][13] 3. BP Factor - Recent Weekly Return: 0.68% - Recent Monthly Return: 0.06% - Year-to-Date Return: -4.33% - Annualized Return (1 Year): -1.51% - Annualized Return (10 Years): -0.61%[42][43] 4. Three-Month Institutional Coverage Factor - Recent Weekly Return: 1.70% - Recent Monthly Return: 1.29% - Year-to-Date Return: 4.96% - Annualized Return (1 Year): 1.66% - Annualized Return (10 Years): 4.39%[46][48]
Trend风格领衔,三个月机构覆盖因子表现出色,建议关注走势延续性强的资产
Orient Securities·2025-07-27 13:43