量化点评报告：十月配置建议：价值股的左侧信号

• The "ERP and DRP standardized equal-weight calculation model" is used to compute A-share odds, which as of September end, declined to 0.2 standard deviations, indicating a neutral level[10] - The "macro victory rate scoring card model" synthesizes asset victory rates based on factors like credit and PMI pulses, which recently bottomed out, pushing A-share victory rates to 19%[10] - The "bond odds model" is constructed using the expected yield difference between long and short bonds, with recent bond odds retreating to -0.9 standard deviations, reflecting valuation risks for long bonds[11] - The "bond victory rate model" integrates credit and growth expansion data, showing a decline to -6%, indicating low victory rates[11] - The "AIAE indicator model" for US stocks is at 54%, its historical peak, corresponding to 2.4 standard deviations, signaling high pullback risks[15] - The "Federal Reserve liquidity index model" combines quantity and price dimensions, showing a tightening liquidity index at 20%, a medium-high level[15] Model Backtesting Results - ERP and DRP model: A-share odds at 0.2 standard deviations, victory rate at 19%[10] - Bond odds model: -0.9 standard deviations, victory rate at -6%[11] - AIAE indicator model: 54% historical peak, 2.4 standard deviations[15] - Federal Reserve liquidity index: 20% medium-high level[15] Factor Construction and Evaluation - Value factor: High odds (0.9 SD), medium trend (-0.3 SD), low crowding (-1.4 SD), comprehensive score 3, recommended for focus[19][22] - Small-cap factor: Medium odds (-0.2 SD), strong trend (1.6 SD), medium-low crowding (-0.5 SD), comprehensive score 2.2, configuration value improved[20][23] - Quality factor: High odds (1.4 SD), weak trend (-1.2 SD), medium-low crowding (-0.5 SD), comprehensive score 0.6, recommended for long-term attention[24][26] - Growth factor: Medium-high odds (0.8 SD), medium trend (0.1 SD), high crowding (1.0 SD), comprehensive score 0.1, recommended for standard allocation[27][28] Factor Backtesting Results - Value factor: Odds 0.9 SD, trend -0.3 SD, crowding -1.4 SD, score 3[19][22] - Small-cap factor: Odds -0.2 SD, trend 1.6 SD, crowding -0.5 SD, score 2.2[20][23] - Quality factor: Odds 1.4 SD, trend -1.2 SD, crowding -0.5 SD, score 0.6[24][26] - Growth factor: Odds 0.8 SD, trend 0.1 SD, crowding 1.0 SD, score 0.1[27][28] Strategy Construction and Evaluation - "Odds-enhanced strategy" allocates assets based on odds indicators under volatility constraints, achieving annualized returns of 6.6%-7.5% and maximum drawdowns of 2.4%-3.0% since 2011[39][41] - "Victory rate-enhanced strategy" uses macro victory rate scoring to allocate assets, achieving annualized returns of 6.3%-7.7% and maximum drawdowns of 2.3%-2.8% since 2011[42][44] - "Odds + victory rate strategy" combines risk budgets from both strategies, achieving annualized returns of 7.0%-7.6% and maximum drawdowns of 2.7%-2.8% since 2011[45][47] Strategy Backtesting Results - Odds-enhanced strategy: Annualized returns 6.6%-7.5%, max drawdowns 2.4%-3.0%[39][41] - Victory rate-enhanced strategy: Annualized returns 6.3%-7.7%, max drawdowns 2.3%-2.8%[42][44] - Odds + victory rate strategy: Annualized returns 7.0%-7.6%, max drawdowns 2.7%-2.8%[45][47]