新价量相关性因子绩效月报20250530-20250606
Soochow Securities·2025-06-06 07:35
- Model Name: RPV (Renewed Correlation of Price and Volume); Model Construction Idea: The RPV factor integrates intraday and overnight information by dividing price and volume into four quadrants, effectively identifying the reversal and momentum effects of price-volume correlation factors through the monthly IC mean; Model Construction Process: The RPV factor is constructed by combining the best representatives of intraday and overnight price-volume correlations, incorporating "trading volume" information in the form of correlation, and completing information integration; Model Evaluation: The RPV factor is novel and effective[1][6][7] - Model Name: SRV (Smart Relative Volume); Model Construction Idea: The SRV factor splits intraday price changes into morning and afternoon changes, calculates the "smart" indicator by minute, and uses the correlation coefficient between the afternoon "smart" turnover rate and afternoon price changes; Model Construction Process: The SRV factor combines the more effective intraday price-volume correlation factor and the overnight price-volume correlation factor, where the turnover rate is replaced by the turnover rate of the last half-hour of the previous day, which has a higher proportion of informed trading; Model Evaluation: The SRV factor performs better than the RPV factor[1][6][7] Model Backtest Results - RPV Model, Annualized Return: 14.69%, Annualized Volatility: 7.75%, IR: 1.90, Monthly Win Rate: 72.79%, Maximum Drawdown: 10.63%[1][7][10] - SRV Model, Annualized Return: 17.48%, Annualized Volatility: 6.50%, IR: 2.69, Monthly Win Rate: 75.74%, Maximum Drawdown: 3.74%[1][7][10] Factor Construction and Evaluation - Factor Name: RPV; Factor Construction Idea: The RPV factor integrates intraday and overnight information by dividing price and volume into four quadrants, effectively identifying the reversal and momentum effects of price-volume correlation factors through the monthly IC mean; Factor Construction Process: The RPV factor is constructed by combining the best representatives of intraday and overnight price-volume correlations, incorporating "trading volume" information in the form of correlation, and completing information integration; Factor Evaluation: The RPV factor is novel and effective[1][6][7] - Factor Name: SRV; Factor Construction Idea: The SRV factor splits intraday price changes into morning and afternoon changes, calculates the "smart" indicator by minute, and uses the correlation coefficient between the afternoon "smart" turnover rate and afternoon price changes; Factor Construction Process: The SRV factor combines the more effective intraday price-volume correlation factor and the overnight price-volume correlation factor, where the turnover rate is replaced by the turnover rate of the last half-hour of the previous day, which has a higher proportion of informed trading; Factor Evaluation: The SRV factor performs better than the RPV factor[1][6][7] Factor Backtest Results - RPV Factor, Annualized Return: 14.69%, Annualized Volatility: 7.75%, IR: 1.90, Monthly Win Rate: 72.79%, Maximum Drawdown: 10.63%[1][7][10] - SRV Factor, Annualized Return: 17.48%, Annualized Volatility: 6.50%, IR: 2.69, Monthly Win Rate: 75.74%, Maximum Drawdown: 3.74%[1][7][10]