主动量化周报：3月微盘仍将强势，4月回归主线行情-20260308

Quantitative Models and Construction Methods 1. Model Name: Five-Dimensional Industry Allocation Model - Model Construction Idea: The model is designed to identify industry allocation opportunities by analyzing five dimensions of market data. - Model Construction Process: The specific construction process of the model is not detailed in the report, but it is used to recommend industries based on the latest results. For example, the model suggests focusing on the diffusion of price increase logic to low-level sectors, such as agriculture, forestry, animal husbandry, fishery, and transportation industries[1][11]. - Model Evaluation: The model is effective in identifying structural opportunities in the market under specific conditions, such as geopolitical risks and market volatility[11]. 2. Model Name: Industry Rotation Strategy Based on Consensus Forecast Net Profit FTTM QoQ - Model Construction Idea: This model uses the quarter-on-quarter (QoQ) change in forward twelve-month (FTTM) consensus forecast net profit as an industry screening indicator to construct an industry rotation strategy. - Model Construction Process: - The model selects industries based on the QoQ change in FTTM consensus forecast net profit. - Historical backtesting was conducted over the period from 2019 to 2025. - Model Evaluation: The model demonstrates strong effectiveness during earnings seasons, with the highest median excess return in April compared to other months[13]. --- Model Backtesting Results 1. Five-Dimensional Industry Allocation Model: No specific backtesting results or numerical values are provided in the report. 2. Industry Rotation Strategy Based on Consensus Forecast Net Profit FTTM QoQ: - Backtesting period: 2019-2025 - Median excess return in April: 2.4%, the highest among all months[13] --- Quantitative Factors and Construction Methods 1. Factor Name: BARRA Style Factors - Factor Construction Idea: The BARRA style factors are used to analyze market preferences and style shifts during periods of market adjustment. - Factor Construction Process: - The factors include turnover, financial leverage, earnings volatility, earnings quality, profitability, investment quality, long-term reversal, EP value, BP value, growth, momentum, non-linear market capitalization, market capitalization, volatility, dispersion, and dividend yield. - The performance of these factors is monitored weekly to assess their impact on market trends[21][22]. - Factor Evaluation: The factors provide insights into market style preferences, such as the preference for value over growth and the performance of high-quality earnings assets during the week[25]. --- Factor Backtesting Results 1. BARRA Style Factors: - Turnover: -0.3% - Financial Leverage: -0.1% - Earnings Volatility: 0.0% - Earnings Quality: 0.3% - Profitability: -0.2% - Investment Quality: 0.2% - Long-Term Reversal: -0.4% - EP Value: 0.2% - BP Value: 0.2% - Growth: 0.0% - Momentum: 0.7% - Non-Linear Market Capitalization: -0.5% - Market Capitalization: -0.2% - Volatility: -0.2% - Dispersion: -1.4% - Dividend Yield: 0.0%[22][25]