基金经理及产品研究系列:东吴基金徐慢:紧密跟踪全球科技产业核心驱动力,聚焦AI算力及应用投资机会
Guohai Securities·2026-03-28 13:40

Quantitative Models and Construction Methods 1. Model Name: Fama-French Five-Factor Model - Model Construction Idea: The model extends the traditional Fama-French three-factor model by adding two additional factors: profitability and investment, to better explain asset returns[35][37] - Model Construction Process: The Fama-French Five-Factor Model is expressed as: $ R_i - R_f = \alpha + \beta_1 \cdot (R_m - R_f) + \beta_2 \cdot SMB + \beta_3 \cdot HML + \beta_4 \cdot RMW + \beta_5 \cdot CMA + \epsilon $ Where: - $ R_i $: Return of the portfolio - $ R_f $: Risk-free rate - $ R_m $: Market return - $ SMB $: Size factor (Small Minus Big) - $ HML $: Value factor (High Minus Low) - $ RMW $: Profitability factor (Robust Minus Weak) - $ CMA $: Investment factor (Conservative Minus Aggressive) - $ \alpha $: Intercept term - $ \beta_1, \beta_2, \beta_3, \beta_4, \beta_5 $: Factor loadings - $ \epsilon $: Error term[35][37] - Model Evaluation: The model effectively captures the market factor's positive contribution to returns, while value and investment factors show weak performance. The model highlights the fund manager's strong stock-picking ability, as excess returns are primarily driven by specific stock alpha rather than systematic factor exposure[35][37][39] --- Model Backtesting Results 1. Fama-French Five-Factor Model - Market Factor Sensitivity: Positive across all time windows (3 months, 6 months, 1 year, 3 years)[35][37] - Value Factor Sensitivity: Negative, indicating weak performance of value stocks[35][37] - Investment Factor Sensitivity: Weak, with limited contribution to returns[35][37] - Excess Returns: Primarily driven by specific stock alpha rather than systematic factor exposure[35][37][39] - Risk Contribution: Market factor is the primary source of risk, while value factor contributes positively to risk, reflecting increased volatility in high-valuation or low-profitability stocks[39][41] --- Quantitative Factors and Construction Methods 1. Factor Name: Market Factor - Factor Construction Idea: Captures the overall market trend and its impact on portfolio returns[35][37] - Factor Construction Process: $ Market\ Factor = R_m - R_f $ Where: - $ R_m $: Market return - $ R_f $: Risk-free rate[35][37] - Factor Evaluation: The market factor consistently provides significant positive contributions to returns, indicating that the overall market trend is a key driver of performance[35][37] 2. Factor Name: Value Factor - Factor Construction Idea: Measures the performance difference between high book-to-market (value) and low book-to-market (growth) stocks[35][37] - Factor Construction Process: $ Value\ Factor = HML = High\ B/M\ Portfolio\ Returns - Low\ B/M\ Portfolio\ Returns $ Where: - High B/M: High book-to-market ratio stocks - Low B/M: Low book-to-market ratio stocks[35][37] - Factor Evaluation: The value factor shows a negative sensitivity, indicating underperformance of value stocks during the analyzed period[35][37] 3. Factor Name: Investment Factor - Factor Construction Idea: Differentiates between conservative and aggressive investment strategies based on asset growth rates[35][37] - Factor Construction Process: $ Investment\ Factor = CMA = Conservative\ Portfolio\ Returns - Aggressive\ Portfolio\ Returns $ Where: - Conservative: Low asset growth rate stocks - Aggressive: High asset growth rate stocks[35][37] - Factor Evaluation: The investment factor exhibits weak performance, with limited impact on portfolio returns[35][37] --- Factor Backtesting Results 1. Market Factor - Sensitivity: Positive across all time windows (3 months, 6 months, 1 year, 3 years)[35][37] 2. Value Factor - Sensitivity: Negative, indicating weak performance of value stocks[35][37] 3. Investment Factor - Sensitivity: Weak, with limited contribution to returns[35][37] 4. Risk Contribution - Market Factor: Primary source of risk exposure[39][41] - Value Factor: Positive risk contribution, reflecting increased volatility in high-valuation or low-profitability stocks[39][41] - Specific Risk: Stable, with no significant changes in individual stock uncertainty[39][41]

基金经理及产品研究系列:东吴基金徐慢:紧密跟踪全球科技产业核心驱动力,聚焦AI算力及应用投资机会 - Reportify