- The report mentions the "TWO BETA" model, which continues to recommend the technology sector, focusing on communication equipment and military industry[3][4][9] - The industry allocation model suggests a mid-term focus on sectors experiencing a turnaround, recommending industries such as new energy[3][4][9] - The timing system signal shows that the distance between the 20-day and 120-day moving averages of the Wind All A Index has narrowed to 3.28%, indicating a market in a volatile state[2][4][11] - The report suggests that if the trading volume falls below 1.1 trillion yuan, the market is expected to rebound[2][4][11] - The current PE ratio of the Wind All A Index is around the 60th percentile, indicating a medium level, while the PB ratio is around the 20th percentile, indicating a relatively low level[3][12] - The position management model recommends maintaining a 50% position for absolute return products based on the Wind All A Index[3][12] Model and Factor Construction - **TWO BETA Model**: This model recommends the technology sector, focusing on communication equipment and military industry. The model's construction details are not provided in the report[3][4][9] - **Industry Allocation Model**: This model suggests a mid-term focus on sectors experiencing a turnaround, recommending industries such as new energy. The model's construction details are not provided in the report[3][4][9] - **Timing System**: The timing system uses the distance between the 20-day and 120-day moving averages of the Wind All A Index to determine market trends. The latest data shows the 20-day moving average at 5253 points and the 120-day moving average at 5086 points, with a distance of 3.28%[2][4][11] Model and Factor Evaluation - **TWO BETA Model**: Continues to recommend the technology sector, focusing on communication equipment and military industry[3][4][9] - **Industry Allocation Model**: Recommends a mid-term focus on sectors experiencing a turnaround, such as new energy[3][4][9] - **Timing System**: Indicates a market in a volatile state, with the distance between the 20-day and 120-day moving averages narrowing to 3.28%[2][4][11] Backtest Results - **Timing System**: The distance between the 20-day and 120-day moving averages of the Wind All A Index is 3.28%, indicating a market in a volatile state[2][4][11] - **Wind All A Index**: The current PE ratio is around the 60th percentile, and the PB ratio is around the 20th percentile[3][12] - **Position Management Model**: Recommends maintaining a 50% position for absolute return products based on the Wind All A Index[3][12]

广发证券首席金工分析师 安宁宁 SAC: S0260512020003 SAC: S0260522070006 zhangyudong@gf.com.cn 广发金工安宁宁陈原文团队 摘要 最近5个交易日，科创50指数跌4.16%，创业板指跌3.34%，大盘价值跌0.91%，大盘成长跌2.89%，上证50跌2.38%，国证2000代表的小盘跌 1.89%，石油石化、建筑材料市场表现靠前，计算机表现靠后。 风险溢价，中证全指静态PE的倒数EP减去十年期国债收益率，权益与债券资产隐含收益率对比，历史数次极端底部该数据均处在均值上两倍标准差区 域，比如2012/2018/2020年（疫情突发），2022/04/26达到4.17%，2022/10/28风险溢价再次上升到4.08%，市场迅速反弹，2024/01/19指标4.11%，自2016 年以来第五次超过4%。截至2025/03/21指标3.61%，两倍标准差边界为4.72%。 估值水平，截至2025/03/21，中证全指PETTM分位数54%，上证50与沪深300分别为58%、47%，创业板指接近15%，中证500与中证1000分别为35%、 42%，创业板指风格 ...

Group 1 - The report introduces a quantitative timing strategy for style indices based on valuation, liquidity, and crowding models, emphasizing that "efficient markets" are dynamic processes rather than static states [1][6] - The quantitative timing model effectively captures the characteristics of style index bottoms and tops while mitigating risks associated with crowded trades, achieving an average annual return of 18.54% and an average excess annual return of 16.46% since 2011 [1][6] - The report highlights the performance of the mixed style index model, which has achieved an annual return of 20.10% and an excess annual return of 16.24% since December 2013 [1][6] Group 2 - The style index valuation model includes factors such as PB, PE, PBPE, and equity risk premium, with an average annual return of 10.38% and an average excess annual return of 8.30% since 2011 [1][6][17] - The market liquidity model incorporates factors like buy and sell impact costs and liquidity indices, showing a significant accuracy in bottom timing with an average rebound return of 6.86% [1][6][19] - The trading crowding model serves as a top-timing hedge factor, effectively complementing the valuation and liquidity models, achieving an excess annual return of 4.87% since 2011 [1][6][19] Group 3 - The report outlines a quantitative timing research framework that includes data processing, model factor calculation, model testing, and composite model synthesis [1][6][19] - The valuation factors are constructed by calculating the historical percentile levels of the style index valuation factors, which are then compared against set thresholds to trigger buy or sell signals [1][6][21] - The report emphasizes the need for timing factors to be logical and mean-reverting, with specific thresholds established for different style indices to determine market conditions [1][6][20]

Quantitative Factors and Their Construction 1. Factor Name: Small-Cap Factor - **Construction Idea**: The small-cap factor measures the performance of stocks with smaller market capitalization, which historically tend to outperform larger-cap stocks under certain market conditions [17][18] - **Construction Process**: The factor's crowding level is calculated using four indicators: valuation spread, pairwise correlation, long-term return reversal, and factor volatility. These indicators are combined into a composite score to assess the degree of crowding [18] - **Evaluation**: The small-cap factor showed a positive crowding level, indicating relatively strong performance and lower risk of factor failure [19] 2. Factor Name: Low-Valuation Factor - **Construction Idea**: This factor identifies stocks with lower valuation metrics, such as price-to-earnings or price-to-book ratios, which are expected to generate higher returns over time [17][18] - **Construction Process**: Similar to the small-cap factor, the low-valuation factor's crowding level is assessed using the same four indicators (valuation spread, pairwise correlation, long-term return reversal, and factor volatility) and combined into a composite score [18] - **Evaluation**: The low-valuation factor exhibited a slightly negative crowding level, suggesting moderate underperformance or potential risks of factor inefficiency [19] 3. Factor Name: High-Profitability Factor - **Construction Idea**: This factor targets stocks with strong profitability metrics, such as high return on equity (ROE) or net profit margins, which are often associated with stable and superior returns [17][18] - **Construction Process**: The factor's crowding level is calculated using the same methodology as the small-cap and low-valuation factors, combining the four indicators into a composite score [18] - **Evaluation**: The high-profitability factor showed a negative crowding level, indicating potential underperformance or risks of factor inefficiency [19] 4. Factor Name: High-Growth Factor - **Construction Idea**: This factor focuses on stocks with high growth rates in earnings or revenues, which are expected to deliver higher returns in growth-oriented market environments [17][18] - **Construction Process**: The high-growth factor's crowding level is also derived from the four indicators (valuation spread, pairwise correlation, long-term return reversal, and factor volatility) and combined into a composite score [18] - **Evaluation**: The high-growth factor exhibited the most negative crowding level among the factors analyzed, indicating significant underperformance and a higher risk of factor failure [19] --- Backtesting Results of Factors 1. Small-Cap Factor - **Valuation Spread**: 1.74 [19] - **Pairwise Correlation**: -0.32 [19] - **Market Volatility**: -0.38 [19] - **Return Reversal**: 1.43 [19] - **Composite Score**: 0.62 [19] 2. Low-Valuation Factor - **Valuation Spread**: -0.33 [19] - **Pairwise Correlation**: 0.05 [19] - **Market Volatility**: 0.15 [19] - **Return Reversal**: -0.29 [19] - **Composite Score**: -0.10 [19] 3. High-Profitability Factor - **Valuation Spread**: -1.23 [19] - **Pairwise Correlation**: -0.05 [19] - **Market Volatility**: 0.28 [19] - **Return Reversal**: -0.44 [19] - **Composite Score**: -0.36 [19] 4. High-Growth Factor - **Valuation Spread**: -2.04 [19] - **Pairwise Correlation**: 0.08 [19] - **Market Volatility**: -0.65 [19] - **Return Reversal**: -1.02 [19] - **Composite Score**: -0.91 [19]

Investment Rating - The industry investment rating is "Strong Buy" with an expected relative return of over 20% within six months [24]. Core Viewpoints - The market is currently in an upward trend, with the core observation being the market's profitability effect, which is currently at 1.40% and remains positive, indicating the potential for continued upward movement [2][3][7]. - The report recommends maintaining a stable position until the upcoming financial and inflation data is released, while also suggesting a focus on technology sectors, particularly AI+Healthcare, domestic computing power, and robotics [2][3][7]. Summary by Sections Market Overview - The Wind All A Index has shown a weekly increase of 2.43%, with small-cap stocks (CSI 2000) rising by 3.99%, mid-cap stocks (CSI 500) by 2.63%, and large-cap stocks (CSI 300) by 1.39% [8]. - The distance between the short-term (20-day) and long-term (120-day) moving averages has increased from 5.46% to 5.59%, indicating a continued upward trend [2][9]. Valuation Metrics - The overall PE of the Wind All A Index is at the 60th percentile, indicating a medium level, while the PB is at the 20th percentile, suggesting a lower valuation level [10]. - The report advises a 90% allocation in absolute return products based on the current market conditions [10]. Sector Allocation - The industry allocation model continues to recommend sectors that are in a turnaround phase, specifically the Hong Kong Stock Connect internet and battery-related industries [3][7]. - The TWO BETA model continues to favor technology sectors, with a focus on AI+Healthcare, domestic computing power, and robotics [3][7].

广发证券首席金工分析师 安宁宁 最近5个交易日，科创50指数涨2.67%，创业板指涨1.61%，大盘价值涨1.01%，大盘成长涨1.28%，上证50涨1.63%，国证2000代表的小盘涨4.00%，有色金 属、国防军工市场表现靠前，石油石化表现靠后。 SAC: S0260512020003 anningning@gf.com.cn 广发证券资深金工分析师 张钰东 SAC: S0260522070006 zhangyudong@gf.com.cn 广发金工安宁宁陈原文团队 摘要 风险溢价，中证全指静态PE的倒数EP减去十年期国债收益率，权益与债券资产隐含收益率对比，历史数次极端底部该数据均处在均值上两倍标准差区域，比 如2012/2018/2020年（疫情突发），2022/04/26达到4.17%，2022/10/28风险溢价再次上升到4.08%，市场迅速反弹，2024/01/19指标4.11%，自2016年以来第五 次超过4%。截至2025/03/07指标3.65%，两倍标准差边界为4.71%。 估值水平，截至2025/03/07，中证全指PETTM分位数55%，上证50与沪深300分别为59%、47%，创业 ...