主动量化周报：11月：资金动能减弱，月底再启动-20251102

• The report discusses the construction and evaluation of a market timing model based on micro-market structure indicators. The model tracks the activity level of informed traders to predict market movements. The specific process involves monitoring the marginal changes in the activity level of informed traders, which is then used to gauge their sentiment towards future market trends[17][20] - The report also includes a price segmentation system for the Shanghai Composite Index. This system analyzes the index's daily and weekly price movements to identify marginal upward trends. The construction process involves segmenting the price data into different intervals and analyzing the trends within these segments[16][19] - The evaluation of the market timing model indicates that the activity level of informed traders has shown a slight increase, suggesting a cautiously optimistic outlook for the market. The price segmentation system shows that the Shanghai Composite Index has maintained a marginal upward trend on both daily and weekly scales[17][19][20] Model Backtesting Results - Market Timing Model: The activity level of informed traders has shown a slight increase, indicating a cautiously optimistic outlook for the market[17][20] - Price Segmentation System: The Shanghai Composite Index has maintained a marginal upward trend on both daily and weekly scales[16][19] Quantitative Factors and Construction - The report discusses various BARRA style factors and their performance. These factors include turnover, financial leverage, earnings volatility, earnings quality, profitability, investment quality, long-term reversal, EP value, BP value, growth, momentum, non-linear size, size, and volatility. The construction process involves calculating these factors based on financial and market data, and then analyzing their performance over the week[24][25][26] - The evaluation of these factors shows that momentum and investment quality factors have performed well, while high volatility and high turnover stocks have faced pullbacks. The BP value factor has also shown positive performance, indicating a preference for value stocks over growth stocks[24][25][26] Factor Backtesting Results - Turnover: -0.5%[25] - Financial Leverage: 0.1%[25] - Earnings Volatility: 0.0%[25] - Earnings Quality: 0.3%[25] - Profitability: 0.3%[25] - Investment Quality: 0.4%[25] - Long-term Reversal: -0.5%[25] - EP Value: -0.3%[25] - BP Value: 0.2%[25] - Growth: 0.1%[25] - Momentum: 1.2%[25] - Non-linear Size: 0.0%[25] - Size: -0.3%[25] - Volatility: -0.5%[25]