GF SECURITIES(SZ:000776) GF SECURITIES·2026-01-05 07:05Quantitative Models and Construction Methods 1. Model Name: Fixed Proportion + Macro Indicators + Technical Indicators Combination - Model Construction Idea: This model combines fixed proportion asset allocation with adjustments based on macroeconomic and technical indicators to optimize portfolio performance[35][36] - Model Construction Process: - Select seven asset classes, including equities, bonds, commodities, and currencies - Set a fixed proportion as the baseline allocation for each asset class - Adjust the weights of non-currency assets based on the latest monthly signals from macroeconomic and technical indicators, while correspondingly increasing or decreasing the allocation to currency assets[37] - Model Evaluation: The model effectively integrates macro and technical signals to enhance portfolio performance and reduce risk[36] 2. Model Name: Classic Asset Allocation Model + Macro Indicators + Technical Indicators Combination - Model Construction Idea: This model incorporates classic asset allocation strategies, such as risk parity and volatility control, with macroeconomic and technical indicators to achieve better risk-adjusted returns[43] - Model Construction Process: - Use the same seven asset classes as the previous model - Set baseline weights based on risk parity or a 6% annualized volatility control - Adjust weights monthly based on macroeconomic and technical signals - Impose constraints on asset allocation proportions (e.g., equity allocation capped at 30%, commodity allocation capped at 20%) and turnover rates (e.g., single asset monthly turnover capped at 20%, total monthly turnover capped at 30%)[43] - Model Evaluation: The model balances risk and return effectively, with constraints improving feasibility and stability[43] --- Model Backtesting Results 1. Fixed Proportion + Macro Indicators + Technical Indicators Combination - Annualized Return: 10.22%[40] - Maximum Drawdown: 9.34%[40] - Annualized Volatility: 6.24%[40] 2. Classic Asset Allocation Model + Macro Indicators + Technical Indicators Combination - Volatility Control (6%) + Macro Indicators + Technical Indicators Combination: - Annualized Return: 9.10%[47] - Maximum Drawdown: 5.06%[47] - Annualized Volatility: 4.94%[47] - Risk Parity + Macro Indicators + Technical Indicators Combination: - Annualized Return: 8.28%[47] - Maximum Drawdown: 4.47%[47] - Annualized Volatility: 3.40%[47] --- Quantitative Factors and Construction Methods 1. Factor Name: Macroeconomic Trend Factor - Factor Construction Idea: Analyze the impact of macroeconomic indicator trends (upward or downward) on asset returns[10] - Factor Construction Process: - Use historical moving averages to determine the trend of a macroeconomic indicator - Conduct a t-test to evaluate whether asset returns differ significantly under upward and downward trends - Formula: $ t = \frac{\overline{R_1} - \overline{R_2}}{\sqrt{\frac{(n_1-1)S_1^2 + (n_2-1)S_2^2}{n_1+n_2-2} \left(\frac{1}{n_1} + \frac{1}{n_2}\right)}} \sim t_{n_1+n_2-2} $ where $\overline{R_1}$ and $\overline{R_2}$ are the average monthly returns under upward and downward trends, $S_1$ and $S_2$ are the standard deviations, and $n_1$ and $n_2$ are the number of months in each trend[10] - Factor Evaluation: The factor effectively identifies significant differences in asset returns under different macroeconomic trends[10] 2. Factor Name: Trend Indicator Factor - Factor Construction Idea: Use historical price data to measure the trend of different asset classes[16] - Factor Construction Process: - For equities: $(\text{2-month LLT average monthly return} - \text{(T-12 to T-2) month average monthly return})$ - For bonds: $(\text{2-month closing price average monthly return} - \text{(T-12 to T-2) month average monthly return})$ - For industrial commodities: $(\text{2-month closing price average monthly return})$ - For gold: $(\text{6-month closing price average monthly return})$[16] - Factor Evaluation: The factor provides a robust method for identifying asset price trends[16] 3. Factor Name: Valuation Indicator Factor - Factor Construction Idea: Use the equity risk premium (ERP) to measure equity valuation levels[21][27] - Factor Construction Process: - Calculate ERP as the inverse of the CSI 800 Index PE (TTM) minus the 10-year government bond yield - Define the 5-year historical percentile of ERP as: $ \text{Percentile} = \frac{\text{Current ERP} - \text{5-year ERP Minimum}}{\text{5-year ERP Maximum} - \text{5-year ERP Minimum}} $ - Assign scores based on the percentile: - >90%: +2 - 70%-90%: +1 - 30%-70%: 0 - 10%-30%: -1 - <10%: -2[22] - Factor Evaluation: The factor effectively captures valuation levels, with higher percentiles indicating lower valuations[22] 4. Factor Name: Fund Flow Indicator Factor - Factor Construction Idea: Measure the net fund flow into the CSI 800 Index to assess market sentiment[27][32] - Factor Construction Process: - Calculate the monthly active net inflow as: $(\text{1-month active net inflow} - \text{6-month average monthly active net inflow})$ - Positive values indicate fund inflow, while negative values indicate fund outflow[27][32] - Factor Evaluation: The factor provides a clear signal of market sentiment based on fund flow dynamics[32] --- Factor Backtesting Results 1. Macroeconomic Trend Factor - Equity: PMI (3-month moving average) → Positive trend, score: +1[15] - Bond: PMI (3-month moving average) → Negative trend, score: -1[15] - Gold: US M2 YoY (12-month moving average) → Positive trend, score: +1[15] - Industrial Commodities: PMI (3-month moving average) → Positive trend, score: +1[15] 2. Trend Indicator Factor - Equity: 2-month LLT average return → 0.38%, upward trend, score: +1[21] - Bond: 2-month closing price average return → -0.15%, downward trend, score: -1[21] - Gold: 6-month closing price average return → 4.20%, upward trend, score: +1[21] - Industrial Commodities: 2-month closing price average return → -0.09%, downward trend, score: -1[21] 3. Valuation Indicator Factor - Equity: 5-year ERP percentile → 51.77%, neutral valuation, score: 0[27] 4. Fund Flow Indicator Factor - Equity: 1-month active net inflow → 1863 billion RMB, fund inflow, score: +1[32]