Market Overview - Macro growth factors have stabilized, with the Jianxin Gaojin growth factor turning positive, indicating a recovery in macro growth expectations[4] - The ChiNext Index surged by 8.58%, leading global markets, driven by a renewed preference for technology growth sectors[9] - Market risk appetite has improved, with trading volume increasing by 24.1% week-on-week, reflecting heightened investor participation[57] Inflation and Economic Indicators - CPI year-on-year growth is at 0.1%, while PPI remains low, indicating persistent deflationary pressures[4] - The manufacturing PMI for July is at 49.3%, down 0.4 percentage points from the previous month, suggesting a slight contraction in manufacturing activity[39] Asset Class Recommendations - Fixed Income: Favor high-grade credit bonds and adjust duration flexibly, focusing on bank and insurance sector movements[5] - Equities: In the U.S., focus on technology sectors with long-term AI investment opportunities, as economic data shows resilience[5] - Commodities: Structural differentiation is evident, with strong performance in soybean meal (+5.59%) due to supply concerns[4] Risk Factors - Key risks include policy adjustments, market volatility, geopolitical shocks, and liquidity transmission risks[6] Valuation and Earnings Expectations - A-share valuations have increased, with the CSI 800's P/E ratio at the 13th percentile of the past three years, indicating rising valuation pressure[64] - Analysts project a 9.9% year-on-year earnings growth for the CSI 800, with revenue growth expectations at 6.0%[65]

Quantitative Models and Construction Methods 1. Factor Name: Beta Factor - **Construction Idea**: The Beta factor measures the sensitivity of a stock's returns to the overall market returns, indicating its systematic risk[29] - **Construction Process**: - Calculate the covariance between the stock's returns and the market returns - Divide this covariance by the variance of the market returns - Formula: $ \beta = \frac{\text{Cov}(R_i, R_m)}{\text{Var}(R_m)} $ where $R_i$ is the return of the stock and $R_m$ is the return of the market[29] - **Evaluation**: The Beta factor is a widely used measure of risk, indicating how much a stock's price is expected to move relative to the market[29] 2. Factor Name: Liquidity Factor - **Construction Idea**: The Liquidity factor assesses the ease with which a stock can be traded without affecting its price, reflecting the market's depth and breadth[29] - **Construction Process**: - Measure the average daily trading volume - Calculate the bid-ask spread - Combine these metrics to form a composite liquidity score - Formula: $ \text{Liquidity} = \frac{\text{Average Daily Volume}}{\text{Bid-Ask Spread}} $[29] - **Evaluation**: The Liquidity factor is crucial for understanding the trading costs and potential price impact of large trades[29] 3. Factor Name: Profitability Quality Factor - **Construction Idea**: The Profitability Quality factor evaluates the financial health and earnings quality of a company, focusing on sustainable and high-quality earnings[29] - **Construction Process**: - Analyze various financial ratios such as return on equity (ROE), return on assets (ROA), and profit margins - Combine these ratios into a composite score - Formula: $ \text{Profitability Quality} = \frac{\text{ROE} + \text{ROA} + \text{Profit Margin}}{3} $[29] - **Evaluation**: This factor helps in identifying companies with strong and sustainable earnings, which are likely to perform well in the long term[29] Factor Backtesting Results 1. Beta Factor - **IR**: 0.45[29] - **Annualized Return**: 8.5%[29] - **Volatility**: 12.3%[29] 2. Liquidity Factor - **IR**: 0.38[29] - **Annualized Return**: 7.8%[29] - **Volatility**: 11.5%[29] 3. Profitability Quality Factor - **IR**: 0.52[29] - **Annualized Return**: 9.2%[29] - **Volatility**: 10.8%[29] Additional Factors and Their Performance 1. Factor Name: Skewness Factor - **Construction Idea**: The Skewness factor measures the asymmetry of the return distribution, indicating the potential for extreme positive or negative returns[33] - **Construction Process**: - Calculate the third moment of the return distribution - Normalize by the cube of the standard deviation - Formula: $ \text{Skewness} = \frac{E[(R - \mu)^3]}{\sigma^3} $ where $R$ is the return, $\mu$ is the mean return, and $\sigma$ is the standard deviation[33] - **Evaluation**: This factor is useful for understanding the tail risks and potential for extreme outcomes in the return distribution[33] 2. Factor Name: Position Change Factor - **Construction Idea**: The Position Change factor tracks changes in the holdings of large institutional investors, indicating their sentiment and market positioning[33] - **Construction Process**: - Monitor the quarterly filings of institutional investors - Calculate the net change in positions for each stock - Formula: $ \text{Position Change} = \frac{\text{Current Quarter Holdings} - \text{Previous Quarter Holdings}}{\text{Previous Quarter Holdings}} $[33] - **Evaluation**: This factor provides insights into the buying and selling activities of major market players, which can influence stock prices[33] Factor Backtesting Results 1. Skewness Factor - **IR**: 0.42[33] - **Annualized Return**: 8.1%[33] - **Volatility**: 11.9%[33] 2. Position Change Factor - **IR**: 0.47[33] - **Annualized Return**: 8.7%[33] - **Volatility**: 11.2%[33]

Group 1 - The report highlights a marginal improvement in domestic liquidity, while overseas fundamentals are expected to rebound from low levels, indicating a mixed outlook for major asset classes [4][24][37] - Commodity prices have generally declined due to weak global demand, with only gold experiencing a slight increase of 0.55% driven by risk aversion stemming from fluctuating U.S. tariff policies [4][9] - The A-share market is under pressure with a notable rotation of hot sectors, while developed markets, particularly the U.S., are performing strongly, nearing new highs due to resilient macro data and strong earnings from companies like NVIDIA [4][9][37] Group 2 - The report recommends increasing exposure to U.S. equities, particularly in the technology and consumer sectors, due to better-than-expected economic growth [5] - It suggests a neutral stance on gold, as growth differentiation supports it, but short-term pressures from declining risk aversion are noted [5] - A cautious outlook is advised for A-shares, as profit expectations remain weak and liquidity improvements may not offset growth and inflation pressures [5][50] Group 3 - The macroeconomic perspective indicates that China's Business Condition Index (BCI) remains above the threshold but shows signs of slowing expansion, with profit expectations deteriorating significantly [24][32] - The liquidity index has shown a continuous improvement, driven by policy signals, although the efficiency of transmission to the real economy remains weak [28] - Inflationary pressures are highlighted, with PPI expectations hitting new lows and CPI showing consecutive months of negative growth, indicating weak consumer demand [32][36]