Quantitative Models and Construction Methods - **Model Name**: TWO BETA Model **Model Construction Idea**: This model is designed to identify and recommend sectors or themes with strong momentum, focusing on technology-related sectors and specific themes like military and Hong Kong automotive industries[2][3][10]. **Model Construction Process**: The report does not provide detailed steps or formulas for the construction of the TWO BETA model. However, it is used to track and recommend sectors based on their relative performance and momentum trends[2][3][10]. **Model Evaluation**: The model continues to recommend technology sectors, military themes, and Hong Kong automotive themes, indicating its focus on identifying upward trends in these areas[2][3][10]. - **Model Name**: Industry Allocation Model **Model Construction Idea**: This model aims to recommend sectors based on medium-term perspectives, focusing on sectors undergoing a turnaround or showing resilience in current market conditions[2][3][10]. **Model Construction Process**: The report does not provide detailed steps or formulas for the construction of the industry allocation model. It is used to identify sectors like innovative drugs in Hong Kong, new consumption themes, and financial sectors in Hong Kong[2][3][10]. **Model Evaluation**: The model highlights sectors with potential for recovery or sustained growth, such as Hong Kong innovative drugs, new consumption, and financial sectors, which are deemed to have intact trends[2][3][10]. - **Model Name**: Timing System **Model Construction Idea**: This model uses the distance between short-term and long-term moving averages to determine the market's overall environment and timing signals[1][9][13]. **Model Construction Process**: 1. Define the short-term moving average (20-day) and long-term moving average (120-day) for the Wind All A Index. 2. Calculate the distance between the two moving averages: $ \text{Distance} = \frac{\text{Short-term MA} - \text{Long-term MA}}{\text{Long-term MA}} $ - Short-term MA (20-day): 5130 - Long-term MA (120-day): 5075 - Distance: 1.09% 3. Interpret the signal: If the absolute value of the distance is less than 3%, the market is considered to be in a consolidation phase[1][9][13]. **Model Evaluation**: The model indicates that the market remains in a consolidation phase, with the short-term moving average above the long-term moving average, suggesting a lack of strong directional trends[1][9][13]. Backtesting Results of Models - **TWO BETA Model**: No specific backtesting results or quantitative metrics are provided in the report[2][3][10]. - **Industry Allocation Model**: No specific backtesting results or quantitative metrics are provided in the report[2][3][10]. - **Timing System**: - Short-term MA: 5130 - Long-term MA: 5075 - Distance: 1.09% - Absolute distance remains below 3%, confirming the market's consolidation phase[1][9][13]. Quantitative Factors and Construction Methods - **Factor Name**: None explicitly mentioned in the report. Backtesting Results of Factors - **Factors**: No specific factors or their backtesting results are provided in the report.

Core Viewpoint - The market is expected to remain in a volatile trend next week, influenced by global events and technical indicators [1][2]. Market Overview - The liquidity shock indicator for the CSI 300 index was 0.74, indicating higher liquidity compared to the average level over the past year [2]. - The PUT-CALL ratio for the SSE 50 ETF options increased to 0.99, reflecting growing caution among investors regarding short-term trends [2]. - The five-day average turnover rates for the SSE Composite Index and Wind All A Index were 0.94% and 1.57%, respectively, showing increased trading activity [2]. Macroeconomic Factors - The onshore and offshore RMB exchange rates experienced slight fluctuations, with weekly changes of 0.05% and -0.02% respectively [2]. - China's May CPI was -0.1%, consistent with the previous value and above the Wind consensus expectation of -0.17% [2]. - The PPI for May was -3.3%, lower than the previous value of -2.7% and the Wind consensus expectation of -3.17% [2]. - New RMB loans in May amounted to 620 billion, below the Wind consensus expectation of 802.65 billion but higher than the previous value of 280 billion [2]. - M2 growth was 7.9%, below both the Wind consensus expectation of 8.08% and the previous value of 8% [2]. Technical Analysis - The Wind All A Index broke above the SAR reversal point on June 4 [2]. - The market score based on the moving average strength index is currently at 155, which is at the 61.5% percentile since 2021 [2]. - The A-share market showed a pattern of rising and then declining, with global markets reacting negatively to the outbreak of conflict in the Middle East [2]. Performance Summary - For the week of June 9-13, the SSE 50 Index fell by 0.46%, the CSI 300 Index decreased by 0.25%, and the CSI 500 Index dropped by 0.38%, while the ChiNext Index rose by 0.22% [3]. - The overall market PE (TTM) stands at 19.3 times, at the 53.5% percentile since 2005 [3]. Factor and Industry Analysis - The small-cap factor's congestion level continues to rise, currently at 1.13, while low valuation and high profitability factors show negative congestion levels [3]. - Industries with relatively high congestion levels include machinery, comprehensive services, environmental protection, non-ferrous metals, and beauty care [3]. - The congestion level for the medical biotechnology and beauty care sectors has increased significantly [3].

Market Performance - The Sci-Tech 50 Index decreased by 1.89% over the last five trading days, while the ChiNext Index increased by 0.22%. The large-cap value index rose by 0.10%, and the large-cap growth index fell by 0.16%. The Shanghai Stock Exchange 50 Index declined by 0.46%, and the small-cap index represented by the CSI 2000 dropped by 0.74%. The non-ferrous metals and oil & petrochemical sectors performed well, whereas household appliances and food & beverage sectors lagged behind [1]. Risk Premium Analysis - The static PE of the CSI All Index minus the yield of 10-year government bonds indicates a risk premium. Historical extreme bottoms have shown this data to be at two standard deviations above the mean, with notable instances in 2012, 2018, and 2020. As of April 26, 2022, the risk premium reached 4.17%, and on October 28, 2022, it rose to 4.08%. The latest reading on January 19, 2024, was 4.11%, marking the fifth instance since 2016 exceeding 4%. As of June 13, 2025, the indicator was at 3.83%, with the two standard deviation boundary at 4.75% [1]. Valuation Levels - As of June 13, 2025, the CSI All Index's PE TTM percentile was at 54%. The Shanghai Stock Exchange 50 and CSI 300 had percentiles of 62% and 52%, respectively. The ChiNext Index was close to 13%, while the CSI 500 and CSI 1000 were at 30% and 22%, respectively. The ChiNext Index's valuation is relatively low compared to historical averages [2]. Long-term Market Trends - The technical analysis of the Deep 100 Index indicates a bear market every three years, followed by a bull market. Historical declines ranged from 40% to 45%, with the current adjustment starting in Q1 2021 showing sufficient time and space for a potential upward cycle [2]. Fund Flow and Trading Activity - In the last five trading days, ETF funds saw an outflow of 17 billion yuan, while margin trading increased by approximately 9.4 billion yuan. The average daily trading volume across both markets was 1.3392 trillion yuan [2]. AI and Machine Learning Insights - A convolutional neural network (CNN) was utilized to model price and volume data, mapping learned features to industry themes. The latest recommended themes include non-ferrous metals and banking sectors [7].

Market Performance - The Sci-Tech 50 Index decreased by 1.89% over the last five trading days, while the ChiNext Index increased by 0.22%. The large-cap value index rose by 0.10%, and the large-cap growth index fell by 0.16%. The Shanghai 50 Index declined by 0.46%, and the small-cap index represented by the CSI 2000 dropped by 0.74%. The non-ferrous metals and oil & petrochemical sectors performed well, whereas household appliances and food & beverage sectors lagged behind [1]. Risk Premium Analysis - The static PE of the CSI All Index minus the yield of 10-year government bonds indicates a risk premium. Historical extreme bottoms have shown this data to be at two standard deviations above the mean, with notable peaks in 2012, 2018, and 2020. As of April 26, 2022, the risk premium reached 4.17%, and on October 28, 2022, it rose to 4.08%. The latest reading on January 19, 2024, was 4.11%, marking the fifth instance since 2016 exceeding 4%. As of June 13, 2025, the indicator was at 3.83%, with the two standard deviation boundary at 4.75% [1]. Valuation Levels - As of June 13, 2025, the CSI All Index's P/E TTM percentile was at 54%. The Shanghai 50 and CSI 300 indices were at 62% and 52%, respectively. The ChiNext Index was close to 13%, while the CSI 500 and CSI 1000 indices were at 30% and 22%. The ChiNext Index's valuation is relatively low compared to historical averages [2]. Long-term Market Trends - The technical analysis of the Deep 100 Index indicates a bear market every three years, followed by a bull market. Historical declines ranged from 40% to 45%, with the current adjustment starting in Q1 2021 showing sufficient time and space for a potential upward cycle [2]. Fund Flow and Trading Activity - Over the last five trading days, ETF funds saw an outflow of 17 billion yuan, while margin financing increased by approximately 9.4 billion yuan. The average daily trading volume across both markets was 1.3392 trillion yuan [2]. Neural Network Analysis - A convolutional neural network (CNN) was utilized to model price and volume data, mapping learned features to industry themes. The latest recommended themes include non-ferrous metals and banking sectors [9].

Group 1 - Market sentiment indicator decreased to 0.8, down from 1.75, indicating a bearish outlook [10][4] - Price-volume consistency improved, but industry trends remain weak with significant capital rotation [14][4] - Total A-share trading volume increased to 1.50 trillion RMB, with daily trading volume reaching 122.514 billion shares [17][4] Group 2 - Small-cap value style is currently favored, with a notable increase in short-term trend scores for sectors like social services, non-ferrous metals, and steel [32][34] - Social services sector saw a significant short-term trend score increase of 31.25% [32][34] - The model indicates a weakening differentiation between growth and value styles, suggesting a prevailing value preference [36][37]

金融工程 | 金工定期报告 金融工程 证券研究报告 2025 年 06 月 15 日 量化择时周报：仍处震荡上沿，维持中性仓位 仍处震荡上沿，维持中性仓位 上周周报(20250608)认为：短期市场宏观不确定性增加和指数在震荡格局 上沿位置的压制下，风险偏好较难快速提升，继续维持中性仓位。最终 wind 全 A 全周表现先扬后抑，微跌 0.27%。市值维度上，上周代表小市值股票 的中证 2000 下跌 0.75%，中盘股中证 500 下跌 0.38%，沪深 300 下跌 0.25%， 上证 50 下跌 0.46%;上周中信一级行业中，表现较强行业包括有色金属、石 油石化，有色金属上涨 3.95%，食品饮料、计算机表现较弱，食品饮料下跌 4.42%。上周成交活跃度上，石油石化和非银金融资金流入明显。 市场处于震荡格局，核心观测是市场风险偏好的变化。宏观方面，中东战 争对全球的资本市场的风险偏好带来压力；同时本周即将迎来美联储议息 的关键窗口期，市场的风险偏好也会承压；之前预告的陆家嘴论坛的利好 也在本周迎来明牌，或将利好兑现；技术指标上，wind 全 A 指数虽然上周 小幅回落，但仍位于震荡格局的上沿，如果没有 ...

Group 1 - The market sentiment score has further declined, with the current score at 1.75, down from 2.5 the previous week, indicating a bearish outlook [1][4][6] - The financing balance ratio and the 300 RSI index scores have decreased, reflecting an increase in bearish sentiment among investors [4][9] - The overall market lacks a clear investment theme, with industry performance trends remaining weak and negative [17][20] Group 2 - The total transaction volume in the A-share market has seen a slight increase, with a daily transaction amount of 1.17 trillion RMB, but significant outflows of main funds have negatively impacted market performance [12] - The short-term trend scores for industries such as communication, real estate, and media have shown significant increases, with communication and real estate industries rising by 41.67% [23][24] - The small-cap growth style is currently favored, with a strong signal indicating its superiority over other styles, while the differentiation between growth and value styles remains weak [25]

Core Viewpoint - The market is expected to continue a trend of oscillating upward in the coming week, supported by technical indicators and liquidity metrics [1][2]. Market Indicators - The liquidity shock index for the CSI 300 was 0.30, indicating higher liquidity than the average level over the past year by 0.30 standard deviations [2]. - The PUT-CALL ratio for the SSE 50 ETF options decreased to 0.85, reflecting a reduced caution among investors regarding short-term movements [2]. - The five-day average turnover rates for the SSE Composite Index and Wind All A were 0.82% and 1.40%, respectively, indicating increased trading activity [2]. Macroeconomic Factors - The onshore and offshore RMB exchange rates saw weekly increases of 0.15% and 0.25%, respectively [2]. - The official manufacturing PMI for China in May was reported at 49.5, matching expectations, while the Caixin manufacturing PMI was lower at 48.3 [2]. Technical Analysis - The Wind All A index broke through the SAR point on June 4, signaling a buy opportunity, with the moving average strength index scoring 207, placing it in the 81.6% percentile since 2021 [2][3]. Market Performance - For the week of June 2 to June 6, the SSE 50 index rose by 0.38%, the CSI 300 index increased by 0.88%, the CSI 500 index grew by 1.6%, and the ChiNext index surged by 2.32% [3]. - The overall market PE (TTM) stands at 19.2 times, which is in the 52.3% percentile since 2005 [3]. Factor Analysis - Small-cap factors performed well, with a crowding degree of 1.05, while low valuation factors had a crowding degree of 0.06 [3]. - The industry crowding degree is relatively high in machinery, comprehensive, retail, environmental protection, and beauty care sectors, with notable increases in beauty care and banking [3].

Quantitative Models and Construction Methods - **Model Name**: Timing System Model **Model Construction Idea**: This model uses the distance between the short-term moving average (20-day) and the long-term moving average (120-day) of the Wind All A Index to determine the overall market environment and identify market trends [1][9][12] **Model Construction Process**: 1. Calculate the 20-day moving average (short-term) and the 120-day moving average (long-term) of the Wind All A Index 2. Compute the difference between the two moving averages: $ \text{Difference} = \text{20-day MA} - \text{120-day MA} $ 3. Evaluate the absolute value of the difference. If the absolute value is less than 3%, the market is considered to be in a consolidation phase [1][9][12] **Model Evaluation**: The model effectively captures the market's consolidation phase and provides a clear signal for timing decisions [1][9][12] - **Model Name**: Industry Allocation Model **Model Construction Idea**: This model identifies industries with medium-term growth potential and recommends allocation based on sectoral trends and macroeconomic factors [2][3][10] **Model Construction Process**: 1. Analyze macroeconomic factors and market sentiment 2. Identify sectors with potential for recovery or growth, such as "distressed reversal" sectors 3. Recommend specific industries, such as innovative pharmaceuticals, automobiles, and new consumption in the Hong Kong market, as well as technology sectors like consumer electronics [2][3][10] **Model Evaluation**: The model provides actionable insights for medium-term industry allocation, focusing on sectors with growth potential [2][3][10] - **Model Name**: TWO BETA Model **Model Construction Idea**: This model focuses on identifying high-growth sectors, particularly in technology, and recommends allocation based on their performance trends [2][3][10] **Model Construction Process**: 1. Analyze the performance of high-beta sectors, such as technology and consumer electronics 2. Monitor the upward trend of specific industries, such as banking and gold stocks, to identify allocation opportunities [2][3][10] **Model Evaluation**: The model is effective in identifying high-growth sectors and provides a focused approach to sectoral allocation [2][3][10] - **Model Name**: Position Management Model **Model Construction Idea**: This model determines the recommended equity allocation based on valuation indicators and short-term market trends [2][10][12] **Model Construction Process**: 1. Evaluate the PE and PB valuation levels of the Wind All A Index 2. Assess the relative position of these indicators within their historical ranges 3. Combine valuation analysis with short-term market trend signals to recommend an equity allocation level (e.g., 50% for absolute return products) [2][10][12] **Model Evaluation**: The model provides a balanced approach to equity allocation, considering both valuation and market trends [2][10][12] Model Backtesting Results - **Timing System Model**: The moving average difference is 0.68%, with the absolute value remaining below 3%, indicating a consolidation phase [1][9][12] - **Position Management Model**: - PE valuation level: 60th percentile, indicating a medium level - PB valuation level: 20th percentile, indicating a relatively low level - Recommended equity allocation: 50% [2][10][12]

Core Viewpoint - The market is expected to experience a volatile upward trend led by small and mid-cap stocks after the holiday [1][2]. Market Indicators - The liquidity shock indicator for the CSI 300 index was 0.13, lower than the previous week (1.13), indicating current market liquidity is 0.13 standard deviations above the average level over the past year [2]. - The PUT-CALL ratio for the SSE 50 ETF options increased to 1.15, up from 0.94 the previous week, reflecting rising caution among investors regarding the short-term performance of the SSE 50 ETF [2]. - The five-day average turnover rates for the SSE Composite Index and Wind All A were 0.76% and 1.30%, respectively, indicating a decrease in trading activity, positioned at the 50.17% and 63.97% percentile since 2005 [2]. Macro Factors - The RMB exchange rate fluctuated last week, with onshore and offshore rates showing weekly declines of -0.08% and -0.48%, respectively [2]. - The US stock market showed a volatile upward trend, with the Dow Jones, S&P 500, and Nasdaq indices posting weekly returns of 1.6%, 1.88%, and 2.01% respectively [2]. - The US core PCE price index rose by 2.5% year-on-year, the lowest since March 2021, with a month-on-month increase of 0.1% [2]. Real Estate Sector - The total land acquisition amount for the top 100 enterprises from January to May 2025 reached 405.19 billion, a year-on-year increase of 28.8%, with the growth rate expanding by 2.2 percentage points compared to the previous month [2]. Technical Analysis - The Wind All A index broke below the SAR reversal indicator on May 23, indicating a bearish trend [2]. - The current market score based on the moving average strength index is 160, positioned at the 64.8% percentile since 2021 [2]. - The market has not yet formed a bottom, as the moving average strength index has not shown a significant decline [2]. Performance Overview - For the week of May 26 to May 30, the SSE 50 index fell by 1.22%, the CSI 300 index decreased by 1.08%, while the CSI 500 index rose by 0.32% and the ChiNext index dropped by 1.4% [3]. - The overall market PE (TTM) stands at 18.9 times, positioned at the 50.5% percentile since 2005 [3]. Factor and Industry Observations - Factor crowding remains stable, with small-cap factor crowding at 0.98, low valuation factor crowding at 0.11, high profitability factor crowding at -0.28, and high growth factor crowding at -0.04 [3]. - The industry crowding is relatively high in machinery, comprehensive, retail, environmental protection, and non-ferrous metals sectors, with transportation and non-ferrous metals showing significant increases in crowding [3].