Quantitative Models and Construction Methods 1. Model Name: RSI (Relative Strength Index) - **Model Construction Idea**: RSI is used to measure the relative strength of price movements over a specific period, identifying overbought or oversold market conditions[2] - **Model Construction Process**: The RSI is calculated using the formula: $ RSI = 100 - \frac{100}{1 + RS} $ Where: - $ RS = \frac{\text{Average Gain over N periods}}{\text{Average Loss over N periods}} $ In this report, the RSI is calculated over a 12-day period. - RSI > 70 indicates an overbought market - RSI < 30 indicates an oversold market[2] - **Model Evaluation**: RSI is a widely used technical indicator for short-term market trend analysis, providing actionable insights for traders[2] 2. Model Name: Net Purchase (Net Subscription) - **Model Construction Idea**: This model calculates the net subscription amount of ETFs to track fund inflows and outflows[2] - **Model Construction Process**: The formula for Net Purchase is: $ NETBUY(T) = NAV(T) - NAV(T-1) \times (1 + R(T)) $ Where: - $ NETBUY(T) $ is the net subscription amount on day T - $ NAV(T) $ is the net asset value on day T - $ R(T) $ is the return on day T[2] - **Model Evaluation**: This metric is useful for understanding investor sentiment and fund flow dynamics in the ETF market[2] --- Model Backtesting Results RSI Model - RSI values for various ETFs: - Huatai-PineBridge CSI 300 ETF: 67.83[4] - E Fund CSI 300 ETF: 73.55[4] - ChinaAMC CSI 300 ETF: 57.08[4] - Bosera CSI 500 ETF: 69.93[4] - E Fund CSI 500 ETF: 71.67[4] - E Fund SSE STAR 50 ETF: 55.07[4] Net Purchase Model - Net Purchase values for various ETFs: - Huatai-PineBridge CSI 300 ETF: -7.83 billion[4] - E Fund CSI 300 ETF: -0.03 billion[4] - ChinaAMC CSI 300 ETF: -26.34 billion[4] - Bosera CSI 500 ETF: -1.45 billion[4] - E Fund CSI 500 ETF: -0.45 billion[4] - E Fund SSE STAR 50 ETF: 1.64 billion[4] --- Quantitative Factors and Construction Methods 1. Factor Name: Institutional Holding Ratio - **Factor Construction Idea**: This factor measures the proportion of ETF holdings owned by institutional investors, reflecting institutional confidence and participation[3] - **Factor Construction Process**: The institutional holding ratio is derived from the latest annual or semi-annual reports of ETFs, excluding holdings by linked funds. The data is estimated and may have deviations due to reporting delays[3] - **Factor Evaluation**: This factor provides insights into institutional investor behavior, which is often considered a signal of market confidence[3] --- Factor Backtesting Results Institutional Holding Ratio - Institutional holding ratios for various ETFs: - Huatai-PineBridge CSI 300 ETF: 83.06%[4] - E Fund CSI 300 ETF: 88.03%[4] - ChinaAMC CSI 300 ETF: 91.03%[4] - Bosera CSI 500 ETF: 77.51%[4] - E Fund CSI 500 ETF: 78.89%[4] - E Fund SSE STAR 50 ETF: 43.66%[4]

Quantitative Factors and Construction Methods 1. Factor Name: RSI (Relative Strength Index) - **Factor Construction Idea**: RSI measures the relative strength of price movements over a specific period to identify overbought or oversold market conditions[2] - **Factor Construction Process**: - The formula for RSI is: $ RSI = 100 - \frac{100}{1 + RS} $ where $ RS $ is the ratio of the average gain to the average loss over a 12-day period[2] - RSI > 70 indicates an overbought market, while RSI < 30 indicates an oversold market[2] - **Factor Evaluation**: RSI is a widely used technical indicator for short-term market sentiment analysis[2] 2. Factor Name: Net Subscription (NETBUY) - **Factor Construction Idea**: This factor calculates the net subscription amount of ETFs to gauge investor demand[2] - **Factor Construction Process**: - The formula for NETBUY is: $ NETBUY(T) = NAV(T) - NAV(T-1) \times (1 + R(T)) $ where $ NAV(T) $ is the net asset value on day T, $ NAV(T-1) $ is the net asset value on the previous day, and $ R(T) $ is the return on day T[2] - **Factor Evaluation**: This factor provides insights into the capital flow dynamics of ETFs, reflecting investor sentiment and market positioning[2] --- Factor Backtesting Results 1. RSI Factor - **HS300 ETFs**: RSI values range from 60.24 to 70.30, with most ETFs hovering around the overbought threshold of 70[4] - **CSI500 ETFs**: RSI values range from 66.04 to 66.37, indicating moderate strength[4] - **CSI800 ETFs**: RSI values range from 69.54 to 71.77, with some ETFs entering overbought territory[4] - **CSI1000 ETFs**: RSI values range from 63.76 to 64.97, suggesting neutral to slightly strong market conditions[4] - **Thematic ETFs**: RSI values vary significantly, with some themes like "New Energy" reaching as high as 74.71, while others like "Semiconductors" remain around 50[6] 2. Net Subscription Factor - **HS300 ETFs**: Net subscription values range from -6.69 billion to 1.51 billion, indicating mixed investor sentiment[4] - **CSI500 ETFs**: Net subscription values range from -2.65 billion to 0.54 billion, reflecting weak demand[4] - **CSI800 ETFs**: Net subscription values range from 0.00 billion to 0.45 billion, showing stable capital flows[4] - **CSI1000 ETFs**: Net subscription values range from -2.69 billion to 0.55 billion, indicating varied investor interest[4] - **Thematic ETFs**: Net subscription values vary widely, with some themes like "Semiconductors" showing strong inflows (up to 6.28 billion), while others like "Consumer Electronics" exhibit moderate inflows (up to 1.15 billion)[6]