Core Insights - The Shanghai office market in the first half of 2025 is characterized by insufficient new demand and rising vacancy rates, with an overall vacancy rate reaching 22.4%, up 0.3 percentage points from the end of last year [1][5] - The market remains cautious, with continued downward pressure on rents driving cost-sensitive relocations, as tenants seek more favorable lease terms [1][2] Market Overview - In Q2 2025, the Shanghai office market recorded a net absorption of approximately 57,300 square meters, with non-CBD areas showing a net absorption of about 74,200 square meters, primarily driven by state-owned enterprises and third-party office operators [2][5] - The overall vacancy rate in the market increased by 1.2 percentage points to 24.6%, with the CBD vacancy rate rising to 16.9% [2][3] Rental Trends - Rental rates for Grade A office buildings continued to decline, with CBD rents decreasing by 2.4% to 6.9 RMB/sqm/day and non-CBD rents down by 2.7% to 4.5 RMB/sqm/day [3][6] - Landlords are maintaining flexible negotiation terms to stabilize occupancy rates and attract new tenants, often agreeing to lease restructuring under extended lease conditions [3][6] Investment Activity - In Q2 2025, the Shanghai commercial real estate market recorded 23 asset transactions totaling 8.2 billion RMB, with office assets accounting for 38% of the total transaction value [6][7] - The average transaction value for individual projects decreased to 360 million RMB, with 61% of transactions occurring in the 100 million to 300 million RMB range, indicating increased liquidity in smaller assets [6][7] Sector Demand - The financial sector led the market with a 22% share, driven by funds and non-bank financial institutions, followed by consumer goods manufacturing at 17% and TMT at 16% [5][7] - Despite challenges, the market showed signs of activity, with a 126.1% increase in net absorption compared to the previous period, indicating a potential recovery in the high-end manufacturing, TMT, and financial sectors [5][7] Future Outlook - An estimated 770,000 square meters of new supply is expected in the next six months, which may increase market competition but also enhance liquidity and rental transaction activity [5][7] - The focus on core assets and emerging sectors is expected to continue, with investors showing interest in properties with stable cash flows and growth potential [7]

Quantitative Factors and Models Summary Quantitative Factors and Construction Methods 1. **Factor Name**: Market Style Factor **Construction Idea**: This factor tracks the market's preference for small-cap versus large-cap stocks and growth versus value stocks over the observed period **Construction Process**: - The factor is divided into two dimensions: size (small-cap vs. large-cap) and style (growth vs. value) - The factor measures the relative performance of small-cap stocks compared to large-cap stocks and growth stocks compared to value stocks - Observations include the directional bias (e.g., small-cap preference) and the volatility of these style preferences **Evaluation**: The factor indicates a market preference for small-cap and growth stocks, but with increased volatility, suggesting instability in market style trends [11][12] 2. **Factor Name**: Market Structure Factor **Construction Idea**: This factor evaluates the dispersion and concentration of returns across industries and stocks to assess market structure dynamics **Construction Process**: - Industry excess return dispersion is calculated to measure the spread of returns across different sectors - Metrics such as the proportion of rising constituent stocks and the turnover concentration of the top 100 stocks and top 5 industries are tracked - Changes in these metrics are used to infer market structure stability and concentration trends **Evaluation**: The factor shows a decline in industry return dispersion and a slight increase in stock and industry concentration, indicating a more concentrated market structure [11][12] 3. **Factor Name**: Market Activity Factor **Construction Idea**: This factor measures market activity through volatility and turnover rates **Construction Process**: - Index volatility is calculated to assess market fluctuations - Turnover rates, particularly for indices like the SSE 50, are tracked to gauge trading activity - Observations include changes in these metrics over time **Evaluation**: The factor reveals a slight increase in market volatility but a continued decline in turnover rates, especially for the SSE 50, indicating reduced market activity [11][12] 4. **Factor Name**: Commodity Market Factors **Construction Idea**: These factors analyze trends, momentum, volatility, and liquidity in commodity markets **Construction Process**: - **Trend Strength**: Tracks the continuation of trends in sectors like energy and metals - **Basis Momentum**: Measures the momentum of basis changes, with specific focus on sectors like agriculture and metals - **Volatility**: Assesses the level of price fluctuations in different commodity sectors - **Liquidity**: Evaluates the trading activity and ease of transactions in commodity markets **Evaluation**: The factors highlight strong trends in energy and metals, low basis momentum in agriculture, high volatility in energy, and strong liquidity in energy and metals [23][27] 5. **Factor Name**: Option Market Factors **Construction Idea**: These factors assess market sentiment and risk expectations through option pricing metrics **Construction Process**: - **Implied Volatility**: Tracks the implied volatility of options on indices like SSE 50 and CSI 1000 - **Skewness**: Measures the relative pricing of put options versus call options to infer market sentiment - **Open Interest**: Monitors changes in open interest to gauge market positioning **Evaluation**: The factors suggest stable short-term sentiment but highlight potential downside risks for small-cap stocks based on skewness and rising open interest in put options [33][34] 6. **Factor Name**: Convertible Bond Market Factors **Construction Idea**: These factors analyze valuation and liquidity dynamics in the convertible bond market **Construction Process**: - **Valuation Metrics**: Tracks metrics like the premium rate of bonds near par value and the proportion of low-premium bonds - **Liquidity Metrics**: Monitors trading volume and credit spreads **Evaluation**: The factors indicate a slight recovery in valuation metrics but a rise in low-premium bonds, with stable trading volumes and narrowing credit spreads [35][37] Factor Backtesting Results 1. **Market Style Factor**: - Small-cap preference observed - Growth style preference observed - Increased volatility in both dimensions [11][12] 2. **Market Structure Factor**: - Industry return dispersion decreased - Stock and industry concentration slightly increased [11][12] 3. **Market Activity Factor**: - Market volatility slightly increased - Turnover rates decreased, especially for SSE 50 [11][12] 4. **Commodity Market Factors**: - Strong trends in energy and metals - Low basis momentum in agriculture - High volatility in energy - Strong liquidity in energy and metals [23][27] 5. **Option Market Factors**: - Stable implied volatility for SSE 50 and CSI 1000 - Skewness favors put options for CSI 1000 - Rising open interest in put options for CSI 1000 [33][34] 6. **Convertible Bond Market Factors**: - Premium rates near par value slightly recovered - Proportion of low-premium bonds increased - Trading volumes stable - Credit spreads narrowed [35][37]

Quantitative Factors and Construction Methods 1. Factor Name: Market Style Factors - **Construction Idea**: The market style factors track the balance and volatility between different market styles, such as large-cap vs. small-cap and value vs. growth[11][13] - **Construction Process**: - **Style Balance**: Measure the relative performance of large-cap vs. small-cap stocks and value vs. growth stocks to determine the market's style preference[11] - **Style Volatility**: Calculate the fluctuations in the relative performance of these styles over time to assess the stability of the market's style preference[11] - **Evaluation**: The market style factors showed a balanced preference between large-cap and small-cap stocks, as well as between value and growth stocks. Additionally, the volatility of these styles continued to decline, indicating a more stable market environment[11][13] 2. Factor Name: Market Structure Factors - **Construction Idea**: These factors analyze the dispersion of returns, sector rotation, and trading concentration to understand the structural dynamics of the market[11][13] - **Construction Process**: - **Return Dispersion**: Measure the excess return dispersion across industry indices to evaluate the variability in sector performance[11] - **Sector Rotation**: Assess the speed of sector rotation by tracking changes in sector leadership over time[11] - **Trading Concentration**: Calculate the proportion of trading volume concentrated in the top 100 stocks and the top 5 industries to gauge market concentration[11] - **Evaluation**: The market structure factors indicated a decline in return dispersion, slower sector rotation, and reduced trading concentration, suggesting a more evenly distributed market environment[11][13] 3. Factor Name: Market Activity Factors - **Construction Idea**: These factors measure the overall activity and liquidity of the market through volatility and turnover rates[12][13] - **Construction Process**: - **Volatility**: Calculate the index-level volatility to assess market stability[12] - **Turnover Rate**: Measure the turnover rate of the market to evaluate trading activity[12] - **Evaluation**: The market activity factors showed a decline in both volatility and turnover rates, reflecting reduced market activity, likely influenced by the holiday period[12][13] 4. Factor Name: Commodity Market Factors - **Construction Idea**: These factors analyze the performance, momentum, and liquidity of various commodity sectors[27][30] - **Construction Process**: - **Trend Strength**: Measure the strength of price trends in different commodity sectors, such as energy, metals, and agriculture[27] - **Basis Momentum**: Calculate the basis momentum, particularly for the metals sector, to assess the relative strength of futures prices compared to spot prices[27][30] - **Volatility**: Track the volatility levels across commodity sectors to evaluate risk[27][30] - **Liquidity**: Measure the liquidity of commodity sectors to assess trading ease[27][30] - **Evaluation**: The commodity market factors showed mixed performance, with strong trends in energy and metals, weaker trends in agriculture, and high volatility across sectors. Liquidity remained stable overall[27][30] 5. Factor Name: Options Market Factors - **Construction Idea**: These factors analyze the implied volatility and skewness of options to infer market sentiment and expectations[35] - **Construction Process**: - **Implied Volatility**: Measure the implied volatility levels of options on major indices, such as the SSE 50 and CSI 1000, to gauge market uncertainty[35] - **Skewness**: Analyze the skewness of call and put options to understand market expectations for upward or downward movements[35] - **Evaluation**: The options market factors indicated a divergence in sentiment, with increased optimism for small-cap stocks (CSI 1000) and reduced optimism for large-cap stocks (SSE 50). This suggests a potential shift in market preference post-holiday[35] 6. Factor Name: Convertible Bond Market Factors - **Construction Idea**: These factors evaluate the valuation and trading activity of the convertible bond market[38] - **Construction Process**: - **Valuation**: Measure the average conversion premium of convertible bonds to assess their relative attractiveness[38] - **Trading Activity**: Track the trading volume and turnover in the convertible bond market to evaluate market interest[38] - **Evaluation**: The convertible bond market factors showed a slight increase in valuation, with trading activity continuing to recover, indicating improving market sentiment[38] --- Factor Backtesting Results 1. Market Style Factors - **Style Balance**: Balanced between large-cap and small-cap, as well as value and growth[11][13] - **Style Volatility**: Continued decline in volatility, indicating stability[11][13] 2. Market Structure Factors - **Return Dispersion**: Declined, indicating less variability in sector performance[11][13] - **Sector Rotation**: Slowed down, suggesting reduced changes in sector leadership[11][13] - **Trading Concentration**: Decreased, reflecting a more evenly distributed market[11][13] 3. Market Activity Factors - **Volatility**: Declined, indicating reduced market risk[12][13] - **Turnover Rate**: Decreased, reflecting lower trading activity[12][13] 4. Commodity Market Factors - **Trend Strength**: Strong in energy and metals, weak in agriculture[27][30] - **Basis Momentum**: Highest in metals, declined in other sectors[27][30] - **Volatility**: High across all sectors[27][30] - **Liquidity**: Stable overall[27][30] 5. Options Market Factors - **Implied Volatility**: Increased for both SSE 50 and CSI 1000, indicating higher uncertainty[35] - **Skewness**: Positive for CSI 1000 (small-cap optimism), negative for SSE 50 (large-cap caution)[35] 6. Convertible Bond Market Factors - **Valuation**: Slight increase in average conversion premium[38] - **Trading Activity**: Continued recovery in trading volume[38]

分析师：柏逸凡 登记编号：S0890524100001 分析师：程秉哲 登记编号：S0890522110001 投资要点 本报告统计时间为2025.04.21-2025.04.25。 上周，美国在中美关税问题态度上仍在反复，风险未进一步上升，但尚未显著改善。不过受中央汇金等稳股市力量支撑， A股大盘延续稳健走势，银行股表现较好，但其他行业板块多数以快速轮动为主，科技板块波动偏大，赚钱效应有限。 权益市场 ，市场风格方面，大小盘风格仍以大盘为主，价值成长风格偏向价值；风格波动方面，大小盘风格波动与价值 成长风格波动继续下降。市场结构方面，上周，行业指数超额收益离散度上升，成分股上涨比例基本持平，行业轮动速度 上升，交易集中度方面，前100个股成交额占比从低位回升，前5行业成交额占比继续下降，显示行业成交集中度下行。市 场活跃度方面，市场波动率从高位迅速回落，换手率有所降低，显示尽管关税问题仍待解决，但股市已经逐步回复平静。 商品市场方面 ，趋势强度表现分化，能化、黑色板块趋势性较强，有色、农产品板块趋势性较弱；基差动量方面，有色 板块最高，黑色板块快速下降；波动率方面，各板块波动率维持在高位；流动性方面，各板块 ...