Market Overview - On September 23, the A-share market experienced a day of volatility, with the Shanghai Composite Index closing down 0.18% and the Shenzhen Component Index down 0.29%, while the ChiNext Index rose by 0.21% [1][2] - Despite a late rally in the three major indices, over 4,200 stocks in the market declined [2] Market Adjustment Reasons - The recent market decline is attributed to technical demand and profit-taking pressure rather than substantial negative news [3] - Historical patterns indicate that after the last four Federal Reserve rate cuts, the market typically undergoes a downward adjustment before entering a new upward trend, suggesting a similar pattern may be occurring now [3] Analysis from Shenwan Hongyuan - Shenwan Hongyuan's report indicates that the A-share market has not yet escaped a minor adjustment phase, highlighting three main issues: 1. Insufficient cost-performance ratio, with short-term indicators at high levels and the ChiNext's profitability effect relative to the CSI 300 at a low point [4] 2. Expectations have largely been re-anchored, with a return to long, medium, and short-term economic conditions and cost-performance perspectives [5] 3. The structural main line for further index increases remains unclear, with the market returning to a volatile state while waiting for new catalysts [5] Pre-holiday Market Sentiment - As the National Day holiday approaches, there is a noticeable shift towards risk aversion, with investors opting to secure profits [6] - Historical data shows a 60% probability of index declines in the five trading days leading up to the holiday, leading to a tendency for investors to realize gains to avoid uncertainties during the holiday [6] Short-term Market Dynamics - The market is currently in a phase of consolidation, with declining trading volumes and a retreat from previous upward trends [10] - The technology sector is showing signs of differentiation, with recent gains driven by high-level positive news, indicating a lack of incremental capital in the market [10] Long-term Market Outlook - The overall market is expected to remain stable, with no significant downward trends anticipated, supported by long-term fundamentals such as interest rate conditions, policy support, and industry development [11] - Despite short-term fluctuations, the A-share market retains a favorable long-term valuation, particularly outside of a few technology sectors [11]

1. Report Industry Investment Rating No information provided in the content. 2. Core Viewpoints of the Report - The seasonal characteristics and calendar effects of bond market institutional behavior are important areas of bond market microstructure research. By combining the calendar effects with the bond investment patterns of different institutions, investors can seize structural opportunities, improve investment win - rates, and enhance return levels [6][9][14]. - Among different institutions, bank wealth management is most significantly affected by seasonality, followed by commercial banks and insurance companies, while the seasonality of public funds is relatively weak [6]. 3. Summaries According to Relevant Catalogs Bank Wealth Management - **Wealth Management Scale**: The scale of bank wealth management shows a seasonal pattern of "shrinking at the end of the quarter and growing at the beginning of the quarter". Quarterly, the scale surges most significantly in the second and third quarters. Annually, the first quarter is mainly affected by the Spring Festival, and the fourth quarter enters a seasonal off - peak. Weekly, the significant scale changes are concentrated in the last week of the quarter - end month and the first week of the quarter - beginning month [16][19][20]. - **Wealth Management Bond Allocation**: The bond - allocation intensity of wealth management increases in months of large - scale growth and the year - end "pre - emptive" period. It decreases at the end of the quarter and before the Spring Festival. The months with large bond - allocation proportions are April, July, August, May, November, and October [24][25]. - **Implications for Bond Investment**: In the bond - allocation months of the second and third quarters, short - term products such as certificates of deposit, short - term financing bonds, and short - term policy - bank bonds within 1 year are the main allocation varieties. In the year - end "pre - emptive" stage, the bond - allocation term is extended. Attention should be paid to the investment opportunities of varieties that wealth management focuses on and has pricing power [28][36]. Commercial Banks - **Seasonal Patterns of Liabilities and Supervision**: The liability growth of commercial banks mainly occurs in the first half of the year, with a "good start" in the first quarter. Deposits usually grow at the end of the quarter and decline at the beginning of the quarter. Bank bond allocation is restricted by performance growth, regulatory assessment, and the seasonality of fiscal bond issuance [7][41]. - **Large Banks**: Bond - allocation increases when the deposit - loan gap is high and the supply of interest - rate bonds is large. At the end of the quarter after the large - scale supply of long - term bonds, pay attention to the opportunities of steepening the treasury bond curve through "buying short and selling long" and be vigilant about the additional adjustment pressure on long - term varieties. When the bond market is continuously adjusting, large banks may sell old bonds to realize floating profits at the end of the quarter [55][58][64]. - **Rural Commercial Banks**: Bond - allocation is large in the first quarter due to the "good start" and in the year - end pre - emptive stage. In the second half of the year, they allocate bonds evenly in non - quarter - end months. Tracking the behavior of rural commercial banks is a good leading indicator to judge whether the year - end pre - emptive market will start [65][72][75]. Insurance - **Seasonal Influencing Factors**: Insurance premium income has an obvious "good start" at the beginning of the year. In the past two years, the reduction of the预定 interest rate has led to super - seasonal growth. Some insurance companies may adjust their positions at the end of the quarter to improve solvency assessment indicators due to the "Solvency II" assessment [79][80][85]. - **Insurance Bond - Allocation Seasonality**: Bond - allocation peaks usually occur in March and December. In the past two years, due to the reduction of the预定 interest rate, there has been super - seasonal bond - allocation in August and September [89]. - **Implications for Bond Investment**: Pay attention to the opportunity of narrowing the spread between 30 - year local bonds and treasury bonds in March. Also, focus on the opportunity of narrowing the spread between 30 - 10 - year treasury bonds after the reduction of the预定 interest rate [92][95][98]. Public Funds - **General Situation**: Public funds' bond investment follows the market and has relatively weak seasonality. However, some products and individual time points show certain seasonal characteristics [100]. - **Money Market Funds**: Affected by the end - of - quarter assessment of banks and liquidity management needs, the scale of money market funds declines at the end of the quarter and recovers slowly after the quarter. Pay attention to the opportunity of declining yields of certificates of deposit during the bond - allocation windows in mid - March, late June, and late December [4]. - **Amortized - cost - method Bond Funds**: During the open - period peak, pay attention to the opportunity of narrowing the spread of policy - bank bonds with corresponding maturities [4][10]. - **Bond - type Funds**: The second quarter is the peak period of bond - allocation throughout the year. Pay attention to the opportunity of narrowing the spread between 5 - year old policy - bank bonds and 2 - 5 - year secondary capital bonds. At the end of the year, there is a "pre - emptive" behavior, and attention should be paid to varieties with good trading attributes such as 10 - year China Development Bank bonds, 30 - year treasury bonds, and 5 - year secondary capital bonds [4][10].

Group 1: Market Strategy Insights - The report indicates that small-cap stocks are likely to outperform in August, supported by a quantitative model signal of 0.5, suggesting an overweight position in small-cap stocks [1] - Year-to-date, the small-cap strategy has yielded a return of 15.74%, outperforming the equal-weight benchmark return of 11.79% by 3.95% [1] - The value-growth rotation strategy shows a quantitative model signal of -0.33, indicating a shift towards value stocks, with a year-to-date return of 11.11% and an excess return of 7.63% [2] Group 2: Factor Performance Tracking - Among eight major factors, volatility and value factors have shown positive returns this month, while liquidity and momentum factors have shown negative returns [2] - Year-to-date, volatility and quality factors have performed well, whereas liquidity and large-cap factors have underperformed [2] - The report highlights that the beta, investment quality, and momentum factors have positive returns this month, while residual volatility, mid-cap, and long-term reversal factors have negative returns [2] Group 3: Covariance Matrix Update - The report updates the factor covariance matrix as of July 31, 2025, which is crucial for predicting stock portfolio risks [3] - The covariance matrix is constructed using a multi-factor model that combines factor covariance and stock-specific risk matrices for accurate estimation [3]

Group 1 - The core viewpoint of the report indicates that in August, the small-cap style has a higher win rate in the first half, while the large-cap style performs better in the second half, driven by earnings announcements [1] - The report highlights that the win rate of dividend-paying stocks is increasing after the peak dividend distribution period, as the market shifts focus towards stable earnings assets [4][6] - The industries with higher win rates in August are primarily concentrated in coal, petrochemicals, and military sectors, influenced by seasonal demand and supply constraints [6][10] Group 2 - The report notes that the performance of small-cap stocks is favored in early August due to fewer earnings disclosures, leading to lower market focus on earnings [1] - As companies begin to disclose their earnings in the latter half of August, the focus on earnings increases, benefiting large-cap stocks with more earnings certainty [1] - The report emphasizes that the high temperatures in July and August lead to increased electricity demand, positively impacting resource sectors like coal and petrochemicals [6][10]

Core Viewpoint - The article highlights the recent surge of the Shanghai Composite Index reaching 3600 points for the first time since October 2022, indicating a strong performance in cyclical sectors such as steel, coal, and petrochemicals, which contradicts the belief that dividend assets lack "sharpness" [1][2]. Group 1: Market Dynamics - The current market is characterized by a significant presence of institutional investors, with the top five institutions holding nearly 40% of the total market capitalization, which exceeds 15 trillion yuan [2]. - The recent rally from 3100 to 3400 points has been primarily driven by institutional funds rather than retail investors, marking a shift from previous market behaviors [2]. Group 2: Future Trends - Insurance funds are expected to play a crucial role in the market's performance in the second half of the year, especially following a recent policy change that increases the long-term investment assessment weight for insurance capital to 70% [3]. - The cyclical dividend sectors are anticipated to outperform due to three main logical frameworks: mean reversion, calendar effects, and anti-involution logic [3][4]. Group 3: Sector Performance - Historical data shows that from 2016 onwards, the third quarter has seen high success rates for steel, coal, and petrochemical sectors, with average returns of 10.17%, 5.19%, and 4.71% respectively, driven by seasonal demand peaks [4]. - Recent government initiatives to focus on key industries such as steel and petrochemicals signal a structural adjustment, which is expected to lead to a rally in resource stocks, reminiscent of past supply-side reforms [4].

Core Viewpoint - The article discusses the "July Rebound" phenomenon in the A-share market, highlighting its historical patterns and potential investment opportunities based on behavioral finance and market trends [1][2]. Historical Performance - Over the past 15 years (2010-2024), the average return of the A-share index in June was -1.1%, while in July it rebounded to 0.9%, indicating a typical "bottoming-out and rebound" pattern [2]. - The success rate of the July rebound over the past 15 years was only 60%, with notable exceptions such as a more than 15% decline in July 2015 due to a liquidity crisis [2]. Structural Characteristics - The July market typically exhibits structural characteristics, with high success rates in sectors like military, new energy, and resource industries such as steel, chemicals, and non-ferrous metals, driven by policy expectations and industry cycles [2]. Driving Forces Behind July Rebound - The July rebound is supported by three main factors: liquidity recovery, policy signals from the Central Political Bureau meeting, and the onset of mid-year earnings reports, which can enhance market sentiment and structural opportunities [5]. Investment Opportunities - In July, focus on sectors with earnings forecast discrepancies and recovery potential, including non-US export chains, price increase chains, AI chains, and financial sectors [6]. - The military sector is expected to benefit from policy and event-driven catalysts, particularly during the transition from the 14th to the 15th Five-Year Plan [6]. - The technology sector, especially AI, is anticipated to continue its upward trend due to favorable valuations and market sentiment [6]. - Resource sectors are likely to see improvements due to seasonal demand and price increases in the third quarter [6].

Group 1: Monthly Strategy Insights - The report indicates that in July, small-cap stocks are likely to outperform, supported by a monthly quantitative model signal of 0.83, suggesting an overweight position in small-cap stocks [1] - The long-term outlook favors small-cap stocks over the next one to two years, with the current market capitalization factor valuation spread at 1.15, which is lower than historical highs of 1.7 to 2.6 [1] - The report acknowledges a previous misjudgment in June regarding style allocation, where the expected excess return was 0%, and emphasizes a strategy of favoring small-cap stocks unless strong signals for large-cap stocks are present [1] Group 2: Value and Growth Style Rotation - The monthly quantitative model signal for value and growth style rotation is 0.33, indicating a preference for growth stocks in July, which historically tend to outperform during this month [2] - Year-to-date, the value-growth style rotation strategy has achieved an excess return of 6.2% compared to an equal-weight benchmark [2] Group 3: Factor Performance Tracking - Among eight major factors, volatility and value factors showed positive returns this month, while large-cap and liquidity factors exhibited negative returns [2] - Year-to-date, volatility and momentum factors have also shown positive returns, with large-cap and liquidity factors remaining negative [2] - In the analysis of 24 style factors, beta, industry momentum, and short-term reversal factors performed well this month, while large-cap, mid-cap, and liquidity factors did not [2]

Group 1: A-shares and Hong Kong Stocks - The A-share market is expected to show a volatile adjustment pattern in July, with short-term momentum effects possibly leading to continued increases, followed by a potential adjustment phase [4][30] - The Hong Kong stock market is anticipated to align with the A-share market's overall rhythm, but the A-share's chip structure is superior, and the Hang Seng AH premium index is reversing from a low position, reducing the attractiveness of Hong Kong stocks [4][30] - In early July, the growth style is expected to outperform, while dividend stocks may experience relative volatility; however, as momentum effects fade and tariff policy uncertainties increase in mid to late July, growth style may face headwinds, allowing dividend style to shine [4][30] Group 2: US Stocks and Gold - The risk trend model indicates that the risk level of US stocks has reached a high point, predicting a volatile trend in July, with the expiration of the tariff suspension period on July 9 likely impacting the market [4][30] - The gold market is assessed to have a moderate risk level, with no significant overvaluation or undervaluation; expectations for interest rate cuts are rising, leading to a gradual strengthening of the market [4][30] - Overall, US stocks and gold are expected to maintain a reverse volatile pattern, awaiting catalysts from geopolitical events, policy changes, and US economic data releases [4][30] Group 3: Government Bonds and US Treasuries - The government bond market is supported by a slow economic recovery, maintaining confidence in policy easing, with liquidity improvement expectations becoming clearer post-quarter [4][30] - The US Treasury market is influenced by external uncertainties that elevate risk aversion, supporting a downward trend in interest rates, although supply pressures and policy fluctuations limit the extent of this decline [4][30] - The overall interest rate trend is expected to show a downward movement, influenced by domestic recovery and flexible policies alongside persistent US inflation and debt supply [4][30] Group 4: Fund Allocation Recommendations - A balanced allocation strategy is recommended, anticipating that the market may exhibit a volatile adjustment trend in the future, suggesting a wait-and-see approach for optimal timing [4][30]

Group 1 - The overall market trend is expected to show a fluctuating adjustment pattern in June, with limited short-term adjustment space but potentially prolonged volatility [4][60] - The A-share market is anticipated to experience a strong adjustment, while the Hong Kong stock market may perform better due to healthier chip structures, exhibiting wide fluctuations [4][60] - In early June, the dividend style is expected to outperform, while growth sectors may be relatively weak; however, from mid-June, growth styles may gain relative advantages [4][60] Group 2 - The US stock market is projected to continue its fluctuations, with risk trend models indicating high risk levels; factors such as international trade court rulings and Trump policies will influence market sentiment [4][61] - The gold market is expected to maintain a medium risk level, with no significant overvaluation or undervaluation, and is likely to strengthen gradually, forming a reverse hedging relationship with US stocks [4][61] - The bond market is anticipated to remain in a narrow fluctuation pattern, with the interest rate center potentially rising due to short-term supply pressure, but the overall downward trend remains unchanged [4][60] Group 3 - The fund allocation recommendation suggests a relatively balanced configuration, anticipating a fluctuating adjustment market, and advising to wait for the right timing [4][60] - The equity macro-micro monthly low-frequency timing model indicates a score of 0 for June, suggesting a strong adjustment pattern, with historical data showing high win rates at this score [31][30] - The model evaluates the market based on five dimensions: fundamentals, liquidity, international factors, valuation, and technical aspects, with a clear view of changes in each dimension [30][37]

Quantitative Models and Construction Diffusion Index Model - **Model Name**: Diffusion Index Model - **Model Construction Idea**: The model is used to monitor the critical points of future diffusion index changes, predicting potential turning points in the market[6][43] - **Model Construction Process**: - The horizontal axis represents the relative price change of stocks in the micro-cap index components over a future period, ranging from +10% to -10% - The vertical axis represents the length of the review or forecast window, ranging from 20 days to 10 days - For example, a value of 0.16 at the intersection of a -5% price change (horizontal axis) and a 15-day window (vertical axis) indicates the diffusion index value under these conditions - The model uses historical data to calculate the diffusion index for different scenarios and predicts the likelihood of market turning points based on these values[43][45] - **Model Evaluation**: The model provides a systematic way to identify potential market turning points, but its accuracy depends on the stability of the index components and market conditions[6][43] - **Model Testing Results**: - Current diffusion index value: 0.91 - Historical signals: - Left-side threshold method triggered a sell signal on May 8, 2025, with a value of 0.9850[47] - Right-side threshold method triggered a sell signal on May 15, 2025, with a value of 0.8975[51] - Dual moving average method triggered a buy signal on April 30, 2025[52] --- Quantitative Factors and Construction Leverage Factor - **Factor Name**: Leverage Factor - **Factor Construction Idea**: Measures the financial leverage of companies, indicating their risk and potential return[5][38] - **Factor Construction Process**: Calculated as the ratio of total debt to equity or assets, normalized for comparison across companies[5][38] - **Factor Evaluation**: Demonstrated strong performance in the current week, with a rank IC of 0.143, significantly above its historical average of -0.006[5][38] Turnover Factor - **Factor Name**: Turnover Factor - **Factor Construction Idea**: Reflects the liquidity of stocks, with higher turnover indicating more active trading[5][38] - **Factor Construction Process**: Calculated as the ratio of trading volume to free float market capitalization over a specific period[5][38] - **Factor Evaluation**: Rank IC of 0.051 this week, outperforming its historical average of -0.08[5][38] PB Inverse Factor - **Factor Name**: PB Inverse Factor - **Factor Construction Idea**: Represents the inverse of the price-to-book ratio, identifying undervalued stocks[5][38] - **Factor Construction Process**: Calculated as 1 divided by the price-to-book ratio, normalized for comparison[5][38] - **Factor Evaluation**: Rank IC of 0.042 this week, slightly above its historical average of 0.034[5][38] Free Float Ratio Factor - **Factor Name**: Free Float Ratio Factor - **Factor Construction Idea**: Measures the proportion of shares available for public trading, indicating potential liquidity[5][38] - **Factor Construction Process**: Calculated as the ratio of free float shares to total shares outstanding[5][38] - **Factor Evaluation**: Rank IC of 0.04 this week, outperforming its historical average of -0.012[5][38] 10-Day Return Factor - **Factor Name**: 10-Day Return Factor - **Factor Construction Idea**: Captures short-term momentum by analyzing recent stock performance[5][38] - **Factor Construction Process**: Calculated as the percentage change in stock price over the past 10 trading days[5][38] - **Factor Evaluation**: Rank IC of 0.025 this week, significantly above its historical average of -0.061[5][38] Non-Adjusted Stock Price Factor - **Factor Name**: Non-Adjusted Stock Price Factor - **Factor Construction Idea**: Reflects the raw stock price without adjustments for splits or dividends[5][38] - **Factor Construction Process**: Directly uses the stock's current market price[5][38] - **Factor Evaluation**: Rank IC of -0.19 this week, underperforming its historical average of -0.017[5][38] PE_TTM Inverse Factor - **Factor Name**: PE_TTM Inverse Factor - **Factor Construction Idea**: Represents the inverse of the price-to-earnings ratio based on trailing twelve months, identifying undervalued stocks[5][38] - **Factor Construction Process**: Calculated as 1 divided by the PE_TTM ratio, normalized for comparison[5][38] - **Factor Evaluation**: Rank IC of -0.143 this week, underperforming its historical average of 0.018[5][38] ROE (Single Quarter) Factor - **Factor Name**: ROE (Single Quarter) Factor - **Factor Construction Idea**: Measures the profitability of companies based on their return on equity for a single quarter[5][38] - **Factor Construction Process**: Calculated as net income divided by shareholders' equity for the most recent quarter[5][38] - **Factor Evaluation**: Rank IC of -0.124 this week, underperforming its historical average of 0.023[5][38] Nonlinear Market Cap Factor - **Factor Name**: Nonlinear Market Cap Factor - **Factor Construction Idea**: Captures the nonlinear relationship between market capitalization and stock performance[5][38] - **Factor Construction Process**: Applies a nonlinear transformation to market capitalization data, such as logarithmic or polynomial adjustments[5][38] - **Factor Evaluation**: Rank IC of -0.116 this week, underperforming its historical average of -0.033[5][38] Log Market Cap Factor - **Factor Name**: Log Market Cap Factor - **Factor Construction Idea**: Measures the logarithmic transformation of market capitalization to reduce skewness[5][38] - **Factor Construction Process**: Calculated as the natural logarithm of market capitalization[5][38] - **Factor Evaluation**: Rank IC of -0.116 this week, underperforming its historical average of -0.033[5][38] --- Factor Backtesting Results - **Leverage Factor**: Rank IC 0.143[5][38] - **Turnover Factor**: Rank IC 0.051[5][38] - **PB Inverse Factor**: Rank IC 0.042[5][38] - **Free Float Ratio Factor**: Rank IC 0.04[5][38] - **10-Day Return Factor**: Rank IC 0.025[5][38] - **Non-Adjusted Stock Price Factor**: Rank IC -0.19[5][38] - **PE_TTM Inverse Factor**: Rank IC -0.143[5][38] - **ROE (Single Quarter) Factor**: Rank IC -0.124[5][38] - **Nonlinear Market Cap Factor**: Rank IC -0.116[5][38] - **Log Market Cap Factor**: Rank IC -0.116[5][38]