PB-ROE模型周度仓位观点-20260307

Quantitative Models and Construction Methods 1. Model Name: PB-ROE Model - Model Construction Idea: The PB-ROE model calculates residuals from a time-series regression, where the residual represents the deviation of the market's actual valuation from the fundamental fair valuation. This deviation is defined as the PB-ROE valuation deviation[1][8][16] - Model Construction Process: The time-series PB-ROE model is based on the following regression equation: $ Ln(P/B) = a + b \cdot ROE + C \cdot RealInterest + d \cdot Inflation $ - $Ln(P/B)$: Logarithm of Price-to-Book ratio - $ROE$: Return on Equity - $RealInterest$: Real interest rate - $Inflation$: Inflation rate - $a, b, C, d$: Regression coefficients The residuals from this regression represent the PB-ROE valuation deviation, which is used to assess market sentiment and risk appetite. - When the deviation > 0, actual PB is higher than the fair value, indicating high market sentiment and increased risk appetite - When the deviation < 0, actual PB is lower than the fair value, indicating low market sentiment and decreased risk appetite[8][16] - Model Evaluation: The PB-ROE valuation deviation is positively correlated with the next week's index return, showing statistical significance. This suggests that the model effectively captures market sentiment and provides actionable signals for tactical positioning[9][16] 2. Model Name: PB-ROE Valuation Deviation-Based Positioning Model - Model Construction Idea: The model uses the PB-ROE valuation deviation to determine weekly tactical positioning. Historical mean ± 1 standard deviation is used as the threshold to classify market conditions and generate position signals[2][10][20] - Model Construction Process: - Historical mean ± 1 standard deviation of PB-ROE valuation deviation is calculated - Positioning signals are determined as follows: 1. Deviation > Mean + 1 SD: High position 2. Mean < Deviation < Mean + 1 SD: Low position 3. Mean - 1 SD < Deviation < Mean: Medium position 4. Deviation < Mean - 1 SD: Medium-high position - Backtesting results show that this positioning strategy effectively reduces drawdowns and improves returns[10][20] - Model Evaluation: The model demonstrates strong historical performance in reducing risk and enhancing returns, making it a valuable tool for tactical asset allocation[20] --- Model Backtesting Results 1. PB-ROE Model - Current PB-ROE valuation deviation: 0.1542[11] - Current standard deviation multiple: 0.8815[12] 2. PB-ROE Valuation Deviation-Based Positioning Model - Current weekly position signal: Low position (0%-30%)[11]