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金工定期报告20251204:TPS与SPS选股因子绩效月报20251130-20251204
Soochow Securities· 2025-12-04 05:03
Quantitative Factors and Construction Methods - **Factor Name**: TPS (Turn20 conformed by PLUS) **Factor Construction Idea**: The TPS factor is designed to improve the traditional turnover rate factor by incorporating price information, specifically the shadow difference (representing intraday market sentiment), to address the limitations of the traditional turnover rate factor[6][9] **Factor Construction Process**: 1. The traditional turnover rate factor (Turn20) is calculated as the average turnover rate over the past 20 trading days, followed by cross-sectional market capitalization neutralization[6] 2. The TPS factor integrates the shadow difference as a price factor to complement the Turn20 factor, leveraging intraday price movements (e.g., opening and closing prices) to better capture market sentiment[9] **Factor Evaluation**: The TPS factor significantly outperforms traditional turnover rate factors in terms of performance and maintains strong stock selection ability even after removing common style and industry effects[6][9] - **Factor Name**: SPS (STR conformed by PLUS) **Factor Construction Idea**: Similar to TPS, the SPS factor improves the STR (Stable Turnover Rate) factor by incorporating price information (shadow difference) to enhance its effectiveness in stock selection[9] **Factor Construction Process**: 1. The STR factor was initially developed to address the limitations of the Turn20 factor, focusing on turnover rate stability rather than magnitude[7] 2. The SPS factor further integrates the shadow difference as a price factor to complement the STR factor, using intraday price movements to better reflect market sentiment[9] **Factor Evaluation**: The SPS factor demonstrates superior performance compared to both the traditional Turn20 and STR factors, with strong stock selection capabilities even after removing style and industry biases[9] Factor Backtesting Results - **TPS Factor**: - Annualized Return: 39.30% - Annualized Volatility: 15.71% - IR: 2.50 - Monthly Win Rate: 77.64% - Maximum Drawdown: 18.19%[1][11] - **SPS Factor**: - Annualized Return: 42.98% - Annualized Volatility: 13.15% - IR: 3.27 - Monthly Win Rate: 83.54% - Maximum Drawdown: 11.58%[1][12][14]
金工定期报告20251106:TPS与SPS选股因子绩效月报20251031-20251106
Soochow Securities· 2025-11-06 09:31
Quantitative Models and Factor Construction Quantitative Models and Construction Methods Model Name: TPS (Turnover Price Stability) - **Model Construction Idea**: The TPS factor is constructed from the perspective of examining the stability of daily turnover rates, aiming to improve the traditional turnover rate factor by incorporating price factors[1][9]. - **Model Construction Process**: - Calculate the average turnover rate over the past 20 trading days (Turn20). - Neutralize the turnover rate by market capitalization. - Use the shadow difference as the price factor to pair with the Turn20 factor. - Construct the TPS factor by combining the turnover rate and the price factor[6][9]. - **Model Evaluation**: The TPS factor significantly outperforms traditional turnover rate factors and maintains good stock-picking ability even after removing market style and industry interference[1][9]. Model Name: SPS (Stable Price Stability) - **Model Construction Idea**: Similar to the TPS factor, the SPS factor is constructed from the perspective of examining the stability of daily turnover rates, aiming to improve the traditional turnover rate factor by incorporating price factors[1][9]. - **Model Construction Process**: - Calculate the average turnover rate over the past 20 trading days (Turn20). - Neutralize the turnover rate by market capitalization. - Use the shadow difference as the price factor to pair with the Turn20 factor. - Construct the SPS factor by combining the turnover rate and the price factor[6][9]. - **Model Evaluation**: The SPS factor significantly outperforms traditional turnover rate factors and maintains strong stock-picking ability even after removing market style and industry interference[1][9]. Model Backtesting Results TPS Model - **Annualized Return**: 39.34%[1][11] - **Annualized Volatility**: 15.74%[1][11] - **Information Ratio (IR)**: 2.50[1][11] - **Monthly Win Rate**: 77.54%[1][11] - **Maximum Drawdown**: 18.19%[1][11] SPS Model - **Annualized Return**: 43.18%[1][12] - **Annualized Volatility**: 13.16%[1][12] - **Information Ratio (IR)**: 3.28[1][12] - **Monthly Win Rate**: 83.47%[1][12] - **Maximum Drawdown**: 11.58%[1][12] Factor Backtesting Results TPS Factor - **10-Group Long Portfolio Return**: 4.09%[1][12] - **10-Group Short Portfolio Return**: -1.73%[1][12] - **10-Group Long-Short Portfolio Return**: 5.82%[1][12] SPS Factor - **10-Group Long Portfolio Return**: 4.22%[1][14] - **10-Group Short Portfolio Return**: -0.78%[1][14] - **10-Group Long-Short Portfolio Return**: 5.00%[1][14]
金工定期报告20250507:TPS与SPS选股因子绩效月报20250430
Soochow Securities· 2025-05-07 13:35
Investment Rating - The industry investment rating is "增持" (Overweight), indicating an expectation that the industry index will outperform the benchmark by more than 5% in the next six months [22]. Core Insights - The TPS factor has an annualized return of 39.50% with a volatility of 15.79%, an information ratio of 2.50, a monthly win rate of 77.39%, and a maximum drawdown of 18.19% from January 2006 to April 2025 [11][12]. - The SPS factor has an annualized return of 43.08% with a volatility of 13.17%, an information ratio of 3.27, a monthly win rate of 83.48%, and a maximum drawdown of 11.58% during the same period [11][12]. - In April 2025, the TPS factor's long portfolio yielded a return of 0.48%, while the short portfolio had a return of -4.59%, resulting in a total long-short return of 5.07% [14][15]. - For the SPS factor in April 2025, the long portfolio returned 0.55%, the short portfolio returned -4.81%, leading to a total long-short return of 5.36% [14][15]. Summary by Sections TPS Factor Performance - The TPS factor was constructed to improve the traditional turnover rate factor by focusing on the stability of daily turnover rates. It significantly outperformed traditional turnover rate factors during the backtesting period [9][10]. - The TPS factor's performance metrics from January 2006 to April 2025 include an annualized return of 39.50%, annualized volatility of 15.79%, and a monthly win rate of 77.39% [11][12]. SPS Factor Performance - The SPS factor was also designed to enhance the traditional turnover rate factor, focusing on daily turnover rate stability. It has shown superior performance compared to traditional factors [9][10]. - The SPS factor's performance metrics from January 2006 to April 2025 include an annualized return of 43.08%, annualized volatility of 13.17%, and a monthly win rate of 83.48% [11][12].