- The macro timing strategy model suggests a recommended equity position of 45% for June, with signal strengths of 50% for economic growth and 40% for monetary liquidity[3][26][27] - The micro-cap stock rotation and timing signals remain strong, with the micro-cap/Chow index relative net value rising to 1.93 times, above its 243-day moving average of 1.41 times[4][29] - The micro-cap stock's 20-day price slope is 0.00257, indicating stronger upward momentum compared to the Chow index's -0.00019[4][29] - The risk warning has been lifted, with volatility congestion at -0.415%, well below the warning threshold of 0.55%, and the 10-year government bond yield at -0.27%, below the risk control line of 0.30%[4][29] - The market's recent rise has favored small-cap growth styles, leading to strong performance in market cap, consensus expectations, and growth factors, while technical and low-volatility factors have underperformed[4][40] - The market cap factor had the highest IC in the CSI 300 pool at 0.2241, while the growth factor had a weak signal in the CSI 500 pool with an IC of -0.0305[39] - The market cap factor also performed well in the entire A-share pool with an IC of 0.2347[39] - The weekly performance of multi-factor strategies showed the market cap factor leading with a gain of approximately +2.21% in the CSI 300 pool, while the growth factor rose by about +0.17%[39] - The consensus expectations factor and growth factor are expected to continue performing well, while technical and low-volatility factors may see a rebound as market sentiment slows down[40] - The convertible bond selection factors showed the stock growth factor leading with a gain of about 0.72%, followed by the stock consensus expectations factor with a return of about 0.63%[45] - The stock quality factor fell by about 0.26%, the stock value factor retreated by about 0.66%, and the convertible bond valuation factor had the largest decline of about 1.70%[45] Model Backtest Results - Macro timing strategy model, equity position: 45%[3][26][27] - Micro-cap stock/Chow index relative net value: 1.93 times[4][29] - Micro-cap stock 20-day price slope: 0.00257[4][29] - Volatility congestion: -0.415%[4][29] - 10-year government bond yield: -0.27%[4][29] - Market cap factor IC in CSI 300 pool: 0.2241[39] - Growth factor IC in CSI 500 pool: -0.0305[39] - Market cap factor IC in entire A-share pool: 0.2347[39] - Market cap factor weekly gain in CSI 300 pool: +2.21%[39] - Growth factor weekly gain in CSI 300 pool: +0.17%[39] - Stock growth factor weekly gain: 0.72%[45] - Stock consensus expectations factor weekly return: 0.63%[45] - Stock quality factor weekly decline: -0.26%[45] - Stock value factor weekly decline: -0.66%[45] - Convertible bond valuation factor weekly decline: -1.70%[45]

1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints of the Report - This week, the A-share market rebounded strongly, with the Shanghai Composite Index breaking through the year's high. The average daily trading volume increased by 22.36% week-on-week. The market risk appetite increased due to the easing geopolitical situation and the introduction of domestic growth-stabilizing policies [1][10]. - The financial technology sector led the rise this week, with both financial and growth styles performing well. The growth style index rose 5.21% this week, and its trading volume accounted for 54.20% of the total, reaching a four-week high [14]. - Looking ahead, the market is expected to maintain a steady upward trend. In July, the market is expected to see an orderly rotation of hot sectors. However, investors should remain cautious before the uncertainties of Sino-US tariff negotiations and the Fed's interest rate decision are eliminated [15]. 3. Summary According to the Directory 3.1 This Week's Market Review 3.1.1 Industry Index - The comprehensive finance, computer, comprehensive, national defense and military industry, and non-bank finance sectors led the gains this week. The trading volume of non-bank finance and bank sectors increased significantly compared to last week, while the trading activity of media, petroleum and petrochemical, medicine, food and beverage, and agriculture, forestry, animal husbandry, and fishery sectors decreased significantly [10]. - COMEX gold fell 2.94%, and the Chinese bond market maintained a narrow range of fluctuations. The basis of stock index futures contracts increased overall, and the net value of stock hedging strategies continued to decline. The average and median returns of neutral hedging funds this week were -0.10% and -0.03% respectively [1][10]. 3.1.2 Market Style - The financial technology sector led the rise this week, driving the market index higher. The growth style index rose 5.21% this week, and its trading volume accounted for 54.20% of the total, reaching a four-week high. The consumer style index rose 1.46%, and its trading volume accounted for 10.93% of the total, reaching a four-week low [14]. - The financial style index rose 3.41%, and its trading volume accounted for 10.07% of the total, reaching a four-week high. The stable style index rose only 0.78%, and its trading volume accounted for 3.45% of the total, reaching a four-week low [14]. - The cyclical style index rose 3.02%, and its trading volume accounted for 21.35% of the total, reaching a four-week low. The CSI 2000 index rose 5.55% this week, but its trading volume accounted for 28.89% of the total, reaching a four-week low [14]. 3.2 Active Equity Funds 3.2.1 Funds with Excellent Performance in Different Theme Tracks This Week - In the single-track fund category, the top five funds in terms of performance this week were Dongcai Value Qihang A, Taixin Development Theme, Chang'an Yusheng A, Huashang Upstream Industry A, and Huitianfu Consumption Upgrade A [20]. - In the double-track fund category, the top five funds in terms of performance this week were China Merchants Securities Technology Theme 6-Month Holding A, Yin Hua Multi-Power, Yongying High-End Equipment Smart Selection A, Huashang Computer Industry Quantitative A, and Hongtu Innovation Selection LOF [20]. 3.2.2 Funds with Excellent Performance in Different Strategy Categories - In the deep undervaluation strategy, the top three funds were Orient Internet Jia, Qianhai Kaiyuan Event-Driven A, and GF Shanghai-Hong Kong-Shenzhen Value Growth A [2][22]. - In the high-growth strategy, the top three funds were China Europe Prosperity Outlook One-Year Holding A, Yuanxin Yongfeng High-End Manufacturing, and Huafu Guotai Min'an A [2][22]. - In the high-quality strategy, the top three funds were Furong Fujin A, Great Wall Jiuxin A, and E Fund New Normal [2][22]. - In the quality undervaluation strategy, the top three funds were Tongtai Financial Selection A, Qianhai Kaiyuan Shengxin A, and Wells Fargo Financial Real Estate Industry A [2][22]. - In the quality growth strategy, the top three funds were AVIC New Takeoff A, SDIC UBS New Energy A, and E Fund National Defense and Military Industry A [2][22]. - In the GARP strategy, the top three funds were Guoshou Anbao Target Strategy A, Guotai Dazhizao Two-Year Holding, and China AMC Panyi One-Year Fixed Open [2][22]. - In the balanced cost-performance strategy, the top three funds were Hongtu Innovation Selection LOF, Chang Sheng State-Owned Enterprise Reform Theme, and Taixin Development Theme [2][22]. 3.3 Index Enhanced Funds 3.3.1 This Week's Excess Return Distribution of Index Enhanced Funds - The average and median excess returns of CSI 300 index enhanced funds were 0.06% and 0.10% respectively [25]. - The average and median excess returns of CSI 500 index enhanced funds were -0.35% and -0.37% respectively [25]. - The average and median excess returns of CSI 1000 index enhanced funds were -0.20% and -0.22% respectively [25]. - The average and median excess returns of CSI 2000 index enhanced funds were -0.04% and -0.06% respectively [25]. - The average and median excess returns of CSI A500 index enhanced funds were 0.11% and 0.13% respectively [25]. - The average and median excess returns of ChiNext index enhanced funds were -0.20% and -0.17% respectively [25]. - The average and median excess returns of STAR Market and ChiNext 50 index enhanced funds were -0.11% and -0.14% respectively [26]. 3.4 This Issue's Bond Fund Selections - The report screened out the medium- and long-term bond fund pool and the short-term bond fund pool based on indicators such as fund size, performance risk indicators, the latest fund size, Wind Fund secondary classification, three-year rolling returns, and three-year maximum drawdowns [42]. 3.5 This Week's High-Frequency Fund Position Detection - Active equity funds significantly increased their positions in the petroleum and petrochemical (0.18%), coal (0.09%), and comprehensive (0.08%) industries this week; they significantly reduced their positions in the machinery (0.19%), automobile (0.13%), and commercial and retail (0.08%) industries [3]. - From a one-month perspective, the position of the pharmaceutical industry increased significantly by 0.71%, while the positions of the machinery and automobile industries decreased significantly by 0.64% and 0.65% respectively [3]. 3.6 This Week's Weekly Tracking of US Dollar Bond Funds - Not provided in the content

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - Market sentiment continues to warm up, with risk assets showing a preference. The domestic economy remains stable, presenting mainly structural opportunities for domestic assets, and the policy - driven logic will be strengthened in the second half of the year. Overseas geopolitical risks may increase short - term market volatility, while the weak US dollar pattern will continue in the long run. Attention should be paid to non - US dollar assets and strategic allocation to resources such as gold [6]. - The overseas stagflation trading cools down, and the ideas of long - short allocation diverge. In the financial sector, the bullish sentiment for stocks and bonds has declined. For precious metals, risk appetite has recovered, leading to a short - term adjustment. Shipping sentiment has declined, and the duration of the increase in the loading rate in June should be monitored. In the black building materials sector, the performance of furnace materials is better than that of finished products. The low inventory reality and weak demand expectations in the non - ferrous and new materials sector lead to continued oscillations. In the energy and chemical sector, crude oil remains stable, and the positive basis of chemicals provides some support. In the agricultural sector, the substantial progress of Sino - US negotiations is beneficial for the market [7][9]. 3. Summary by Directory 3.1 Macro Highlights - **Overseas Macro**: US consumer sentiment has improved, and the economic fundamentals are recovering. However, due to tariff policies, consumers remain cautious about the future. This week, the long - term inflation expectation has stabilized, the short - term inflation expectation has risen, and the market's expectation of the Fed's interest rate cut has increased [6]. - **Domestic Macro**: The domestic fundamentals have changed little this week, with both internal and external demand showing some resilience. The real estate market is in the off - season, and the infrastructure physical workload has decreased seasonally. At the local level, the issuance of special bonds has increased at the end of the month, and the remaining trade - in funds from the central government will be issued in July to support consumption [6]. - **Asset Views**: Domestic assets present mainly structural opportunities, and overseas geopolitical risks may cause short - term market fluctuations. In the long run, the weak US dollar pattern will continue, and attention should be paid to non - US dollar assets and strategic allocation to resources such as gold [6]. 3.2 Viewpoint Highlights 3.2.1 Macro - Domestic: Moderate reserve requirement ratio cuts and interest rate cuts, and the implementation of established fiscal policies in the short term. - Overseas: The inflation expectation structure flattens, the economic growth expectation improves, and the stagflation trading cools down [7]. 3.2.2 Finance - Stock index futures: Funds are releasing congestion, with a short - term judgment of oscillation. - Stock index options: Sellers need to wait for the inflection point of the decline in volatility, with a short - term judgment of oscillation. - Treasury bond futures: The bullish sentiment in the bond market has declined, with a short - term judgment of oscillation [7]. 3.2.3 Precious Metals - Gold and silver: With the recovery of risk appetite, precious metals are in a short - term adjustment, with a short - term judgment of oscillation [7]. 3.2.4 Shipping - Container shipping to Europe: Focus on the game between peak - season expectations and price - increase implementation, with a short - term judgment of oscillation [7]. 3.2.5 Black Building Materials - Coke: Pessimistic sentiment fades, and the price remains stable, with a short - term judgment of oscillation. - Coking coal: Transaction conditions improve, but confidence is still insufficient, with a short - term judgment of oscillation. - Other varieties: Most varieties are in a state of oscillation, while soda ash is expected to oscillate downward [7]. 3.2.6 Non - ferrous and New Materials - Most non - ferrous metals are in a state of oscillation, while zinc is recommended to look for short - selling opportunities, and nickel and stainless steel are expected to oscillate downward [7]. 3.2.7 Energy and Chemicals - Crude oil: The rebound is limited, with a short - term judgment of oscillation and decline. - LPG: Weak oscillation due to geopolitical easing. - Other varieties: Different varieties have different short - term judgments, such as oscillation, oscillation and rise, or oscillation and decline [9]. 3.2.8 Agriculture - Most agricultural products are in a state of oscillation, with different influencing factors and short - term trends [9].

Market Overview - The A-share market experienced a strong rally this week, with the North Securities 50 index leading the major broad-based indices with a weekly increase of 6.84% [3] - Major indices saw comprehensive gains, with the Shanghai Composite Index rising by 1.91%, the CSI 300 by 1.95%, and the ChiNext Index by 5.69% [4] Trading Sentiment - The market's strong rise was accompanied by a steady increase in trading volume, indicating improved liquidity [3] - The volume timing indicator for the North Securities 50 remains cautious, while other major indices have shifted to a bullish signal [3] Fund Flow - ETF funds showed signs of profit-taking, with an overall net outflow from equity ETFs, particularly in the Sci-Tech Innovation Board and small-cap stocks [3] - Southbound capital saw a net inflow of 28.381 billion HKD, with the Shanghai Stock Connect contributing 13.489 billion HKD and the Shenzhen Stock Connect 14.892 billion HKD [10] Valuation Metrics - As of June 27, 2025, broad-based indices such as the Shanghai Composite, CSI 300, CSI 500, and CSI 1000 are at "moderate" valuation percentiles, while the ChiNext Index is at a "safe" valuation percentile [5] - In terms of sector valuation, industries like electricity and public utilities, home appliances, food and beverage, agriculture, non-bank financials, and transportation are classified as "safe" [6] Volatility Analysis - The cross-sectional volatility of the CSI 300 and CSI 500 index constituents increased week-on-week, indicating an improved short-term Alpha environment [7] - Conversely, the cross-sectional volatility of the CSI 1000 index constituents decreased, suggesting a weakening short-term Alpha environment [7] Institutional Focus - The top five stocks attracting the most institutional attention this week were Huichuan Technology (151 institutions), Weigao Medical (144), Jingbeifang (79), AVIC Chengfei (66), and Cangge Mining (64) [9]

- Model Name: Short-term Quantitative Timing Model; Model Construction Idea: The model is based on market sentiment indicators, valuation, macro liquidity, and macro fundamentals to generate timing signals; Model Construction Process: The model uses various indicators such as manufacturing PMI, long-term loan balance growth rate, M1 growth rate, PE and PB valuation percentiles, Beta dispersion, volume sentiment score, volatility, monetary rate, exchange rate expectation, and net financing amount to generate signals. For example, the formula for the volume sentiment score is: $$ \text{Volume Sentiment Score} = \frac{\text{Current Volume} - \text{Mean Volume}}{\text{Standard Deviation of Volume}} $$ where the current volume is the trading volume of the current period, the mean volume is the average trading volume over a specified period, and the standard deviation of volume is the standard deviation of trading volumes over the same period. The model evaluates these indicators to determine the overall market sentiment and generates a timing signal accordingly[9][14][15]; Model Evaluation: The model is highly sensitive to market sentiment indicators, which can lead to frequent signal changes[9] - Model Name: Growth-Value Style Rotation Model; Model Construction Idea: The model uses economic cycle analysis to determine the allocation between growth and value styles; Model Construction Process: The model evaluates the slope of the profit cycle, the level of the interest rate cycle, and the changes in the credit cycle. For example, the formula for the profit cycle slope is: $$ \text{Profit Cycle Slope} = \frac{\text{Current Profit} - \text{Previous Profit}}{\text{Previous Profit}} $$ where the current profit is the profit of the current period, and the previous profit is the profit of the previous period. The model also considers PE and PB valuation differences and turnover and volatility differences between growth and value styles to generate allocation signals[25][26]; Model Evaluation: The model provides significant improvement over the benchmark in terms of annualized returns and Sharpe ratio[25][26] - Model Name: Small-Cap vs. Large-Cap Style Rotation Model; Model Construction Idea: The model uses economic cycle analysis to determine the allocation between small-cap and large-cap styles; Model Construction Process: The model evaluates the slope of the profit cycle, the level of the interest rate cycle, and the changes in the credit cycle. For example, the formula for the interest rate cycle level is: $$ \text{Interest Rate Cycle Level} = \frac{\text{Current Interest Rate} - \text{Mean Interest Rate}}{\text{Standard Deviation of Interest Rate}} $$ where the current interest rate is the interest rate of the current period, the mean interest rate is the average interest rate over a specified period, and the standard deviation of interest rate is the standard deviation of interest rates over the same period. The model also considers PE and PB valuation differences and turnover and volatility differences between small-cap and large-cap styles to generate allocation signals[30][31][32]; Model Evaluation: The model provides significant improvement over the benchmark in terms of annualized returns and Sharpe ratio[30][31][32] - Model Name: Four-Style Rotation Model; Model Construction Idea: The model combines the conclusions of the growth-value and small-cap vs. large-cap rotation models to determine the allocation among four styles: small-cap growth, small-cap value, large-cap growth, and large-cap value; Model Construction Process: The model uses the signals generated by the growth-value and small-cap vs. large-cap rotation models to allocate the portfolio among the four styles. For example, if the growth-value model suggests overweighting value and the small-cap vs. large-cap model suggests overweighting large-cap, the allocation would be adjusted accordingly[33][34]; Model Evaluation: The model provides significant improvement over the benchmark in terms of annualized returns and Sharpe ratio[33][34] Model Backtest Results - Short-term Quantitative Timing Model: Annualized Return 16.24%, Annualized Volatility 14.70%, Maximum Drawdown 27.70%, Sharpe Ratio 0.9613, IR 0.5862, Monthly Win Rate 68.21%, Quarterly Win Rate 68.63%, Annual Win Rate 85.71%[16][19][22] - Growth-Value Style Rotation Model: Annualized Return 11.51%, Annualized Volatility 20.85%, Maximum Drawdown 43.07%, Sharpe Ratio 0.5316, IR 0.2672, Monthly Win Rate 58.00%, Quarterly Win Rate 60.00%, Annual Win Rate 85.71%[27][29] - Small-Cap vs. Large-Cap Style Rotation Model: Annualized Return 11.92%, Annualized Volatility 22.75%, Maximum Drawdown 50.65%, Sharpe Ratio 0.5283, IR 0.2386, Monthly Win Rate 60.67%, Quarterly Win Rate 56.00%, Annual Win Rate 85.71%[32] - Four-Style Rotation Model: Annualized Return 13.03%, Annualized Volatility 21.60%, Maximum Drawdown 47.91%, Sharpe Ratio 0.5834, IR 0.2719, Monthly Win Rate 59.33%, Quarterly Win Rate 62.00%, Annual Win Rate 85.71%[34][35]

Quantitative Models and Construction Methods Model Name: Momentum Model - Construction Idea: The momentum model is designed to capture the trend-following behavior in the market, particularly effective during the end-of-quarter period when funds tend to adjust their positions based on recent performance trends [13][37] - Detailed Construction Process: The model identifies stocks with strong recent performance and allocates more weight to them. The formula used is: $ \text{Momentum Score} = \frac{\text{Price}_{t} - \text{Price}_{t-1}}{\text{Price}_{t-1}} $ where $\text{Price}_{t}$ represents the current price and $\text{Price}_{t-1}$ represents the price at the previous time period [13][37] - Evaluation: The momentum model performs well during the end-of-quarter period, aligning with the characteristic fund allocation behavior [13][37] Model Backtesting Results Momentum Model - Information Ratio (IR): 1.75 [38] - Excess Return: 1.95% [38] Quantitative Factors and Construction Methods Factor Name: Value Factor - Construction Idea: The value factor aims to identify undervalued stocks by comparing their market price to fundamental metrics such as earnings, book value, and cash flow [13][29] - Detailed Construction Process: The factor is constructed using the following formula: $ \text{Value Score} = \frac{\text{Earnings}}{\text{Price}} + \frac{\text{Book Value}}{\text{Price}} + \frac{\text{Cash Flow}}{\text{Price}} $ where $\text{Earnings}$, $\text{Book Value}$, and $\text{Cash Flow}$ are fundamental metrics, and $\text{Price}$ is the current market price [13][29] - Evaluation: The value factor has shown a significant shift in fund allocation from growth to value stocks since April, indicating its effectiveness in capturing the market's structural adjustments [29][33] Factor Backtesting Results Value Factor - Information Ratio (IR): 1.38 [38] - Excess Return: 1.45% [38]

股价表现：大盘显著上涨，金融与科技领先 证券研究报告 | 2025年06月29日 港股市场速览 优于大市 资金大量流入，金融与科技领先 盈利预测：总体平稳上修，行业分化加深 本周，港股通总体法 EPS 预期上修 0.3%，上周上修 0.1%。 结构上，20 个行业 EPS 预期上修，8 个行业 EPS 预期下修，1 个基本持平。 上修的行业主要有：电力设备及新能源（+3.7%）、医药（+1.7%）、电子（+1.6%）、 有色金属（+1.4%）、传媒（+1.0%）；下修的行业主要有：国防军工（-7.4%）、 钢铁（-3.5%）、轻工制造（-2.4%）、建材（-0.9%）、商贸零售（-0.2%）。 风险提示：经济基本面的不确定性，国际政治局势的不确定性，美国财政政 策的不确定性，美联储货币政策的不确定性。 核心观点 行业研究·海外市场专题 本周，恒生指数涨 3.2%，恒生科技涨 4.1%。风格方面，小盘（恒生小型股 +4.5%）＞中盘（恒生中型股+4.1%）＞大盘（恒生大型股+2.9%）。 概念指数均有所上涨，表现领先的有：恒生金融（+4.0%）、恒生互联网 （+3.9%）、恒生香港 35（+3.8%）。 港股通 ...

Quantitative Models and Construction Methods - **Model Name**: Neutral Constraint Maximum Factor Exposure Portfolio **Construction Idea**: Maximize the exposure of the target factor in the portfolio while maintaining neutrality in industry and style exposures relative to the benchmark index[60][61][63] **Construction Process**: 1. **Objective Function**: Maximize portfolio exposure to the target factor $ \text{Max}\quad w^{\prime}X_{\text{target}} $ 2. **Constraints**: - Industry neutrality: $ (w - w_b)^{\prime}X_{\text{inad}} = 0 $ - Style neutrality: $ (w - w_b)^{\prime}X_{\text{Beta}} = 0 $ - Weight deviation limit: $ |w - w_b| \leq 1\% $ - No short selling: $ w \geq 0 $ - Full allocation: $ w^{\prime}1 = 1 $ - Constituents from benchmark index: $ w^{\prime}B = 1 $ **Evaluation**: The model ensures that the portfolio remains neutral to industry and style biases while maximizing factor exposure[60][61][63] Factor Construction and Definitions - **Factor Name**: Beta Factor **Construction Idea**: Capture the sensitivity of individual stock returns to market returns[14][15] **Construction Process**: - Calculate the regression coefficient of individual stock daily returns against the market index (CSI All Share Index) over the past 252 trading days using a half-life weighting of 63 days **Formula**: $ \text{Beta} = \text{Regression Coefficient} $ **Evaluation**: Reflects market risk sensitivity, useful for identifying high-risk or low-risk stocks[14][15] - **Factor Name**: Book-to-Price (BP) **Construction Idea**: Measure valuation by comparing book equity to market capitalization[14][15] **Construction Process**: - $ \text{BP} = \frac{\text{Shareholders' Equity}}{\text{Market Capitalization}} $ **Evaluation**: Indicates undervaluation or overvaluation of stocks, commonly used in value investing[14][15] - **Factor Name**: Sales Growth (SGRO) **Construction Idea**: Assess growth potential by analyzing historical revenue trends[14][15] **Construction Process**: - Perform regression on annual revenue data from the past five fiscal years - Divide the regression slope by the average revenue to calculate growth rate **Formula**: $ \text{SGRO} = \frac{\text{Regression Slope}}{\text{Average Revenue}} $ **Evaluation**: Useful for identifying companies with strong growth trajectories[14][15] Factor Backtesting Results - **Beta Factor**: Weekly long-short return of 7.50%, monthly return of 8.74%[16] - **Book-to-Price (BP)**: Weekly return of -0.27%, monthly return of 0.39%[21][26][30] - **Sales Growth (SGRO)**: Not explicitly tested in the report[14][15] Portfolio Backtesting Results - **Neutral Constraint Maximum Factor Exposure Portfolio**: - **CSI 300 Enhanced Portfolio**: Weekly excess return of 0.03%, monthly return of 1.91%, annual return of 1.34%[57][58] - **CSI 500 Enhanced Portfolio**: Weekly excess return of -1.29%, monthly return of -1.24%, annual return of -2.54%[57][58] - **CSI 800 Enhanced Portfolio**: Weekly excess return of -0.32%, monthly return of 1.68%, annual return of 1.19%[57][58] - **CSI 1000 Enhanced Portfolio**: Weekly excess return of -0.95%, monthly return of 1.33%, annual return of 13.01%[57][58] - **CSI 300 ESG Enhanced Portfolio**: Weekly excess return of 0.51%, monthly return of 2.44%, annual return of 7.72%[57][58] Factor Performance in Different Stock Pools - **CSI 300 Stock Pool**: - Weekly top-performing factors: Log Market Cap (0.83%), Single Quarter Operating Profit Growth (0.72%), 20-Day Specificity (0.71%)[21][23] - Monthly top-performing factors: Single Quarter EP (3.19%), EP_TTM (2.93%), Single Quarter ROE (2.63%)[24] - **CSI 500 Stock Pool**: - Weekly top-performing factors: 20-Day Specificity (1.39%), 60-Day Volume Ratio (1.13%), 60-Day Reversal (1.00%)[26][28] - Monthly top-performing factors: Single Quarter Revenue Growth (3.31%), Single Quarter Operating Profit Growth (2.73%), Single Quarter ROE Growth (2.72%)[28] - **CSI 800 Stock Pool**: - Weekly top-performing factors: Log Market Cap (1.59%), Single Quarter ROE Growth (1.20%), Single Quarter Operating Profit Growth (1.06%)[30][32] - Monthly top-performing factors: Single Quarter EP (4.36%), Single Quarter ROE Growth (3.90%), Single Quarter ROE (3.90%)[33] - **CSI 1000 Stock Pool**: - Weekly top-performing factors: 60-Day Reversal (1.40%), Single Quarter SP (1.30%), SP_TTM (1.29%)[35][37] - Monthly top-performing factors: Log Market Cap (3.66%), 60-Day Reversal (3.43%), Single Quarter Net Profit Growth (3.24%)[38] - **CSI 300 ESG Stock Pool**: - Weekly top-performing factors: Log Market Cap (1.05%), 20-Day Volume Ratio (0.63%), 20-Day Specificity (0.60%)[40][41] - Monthly top-performing factors: Log Market Cap (4.20%), Single Quarter ROE (2.55%), EP_TTM (2.49%)[42] - **All-Market Stock Pool**: - Weekly top-performing factors: Log Market Cap (24.81% Rank IC), 20-Day Specificity (21.07% Rank IC), 60-Day Reversal (19.50% Rank IC)[44][45] - Monthly top-performing factors: 20-Day Specificity (11.25% Rank IC), 20-Day Three-Factor Model Residual Volatility (10.96% Rank IC), 60-Day Specificity (10.73% Rank IC)[45]

Market Overview - The Shanghai Composite Index rose by 1.04% and the ChiNext Index increased by 3.11% on June 25, 2025, with sectors like comprehensive finance, non-bank finance, and defense industry leading the gains at 5.7%, 4.4%, and 3.49% respectively, while oil and petrochemicals, coal, and transportation sectors lagged behind with changes of -0.15%, -0.04%, and 0.25% [1] Reasons for Market Fluctuation - The market experienced a significant increase in volume, with brokerage, computer, and military sectors showing the highest gains, contributing to the Shanghai Composite Index reaching a new high for the year. Recent improvements in the international market environment, including dovish signals from the Federal Reserve and a potential ceasefire agreement between Israel and Iran, have positively influenced global risk assets. Additionally, the domestic economic fundamentals are improving, supported by steady capital market reforms [2] Future Market Outlook - The outlook for the second half of the year remains moderately optimistic, driven by ongoing growth stabilization policies, accelerated infrastructure investment, and effective consumption stimulus measures. Industrial profits are expected to recover in the latter half of the year. Capital market reforms, such as relaxing insurance capital market entry ratios and optimizing dividend repurchase systems, are set to enhance the A-share market ecosystem. The strong policy intent to stabilize the capital market suggests limited chances for significant market corrections. Two asset categories are highlighted: high-elasticity new productivity sectors, including new technologies and materials, and stable industries focusing on core operations and shareholder returns, which are less affected by economic downturns in developed economies [3] Factors to Monitor - Key factors to watch include geopolitical situations, upcoming US-China trade negotiations in early August, EU-US trade talks in early July, and marginal changes in domestic real estate sales data [4]

Core Viewpoint - The China Securities Index for non-bank financial themes has shown significant growth, with a 9.38% increase over the past month and a 22.93% increase year-to-date, reflecting strong performance in the Hong Kong stock market [1][2]. Group 1: Index Performance - The China Securities Index for non-bank financial themes rose by 3.98% to 3715.3 points, with a trading volume of 26.594 billion [1]. - The index has increased by 12.23% over the past three months and 22.93% year-to-date [1]. Group 2: Index Composition - The index comprises up to 50 listed companies that meet the non-bank financial theme criteria, selected from the Hong Kong Stock Connect securities [1]. - The top ten weighted companies in the index include China Ping An (14.97%), AIA Group (14.53%), and Hong Kong Exchanges and Clearing (14.11%) [1]. Group 3: Sector Allocation - The index's holdings are primarily in the insurance sector, which accounts for 64.29%, followed by other capital markets at 21.65% and securities companies at 12.73% [2]. - Other financial services and consumer credit represent smaller portions of the index, at 1.02% and 0.31% respectively [2]. Group 4: Index Adjustment Mechanism - The index samples are adjusted biannually, with changes implemented on the next trading day following the second Friday of June and December [2]. - Special adjustments may occur in cases of delisting or significant corporate actions such as mergers or acquisitions [2].