Quantitative Models and Construction Methods 1. Model Name: Maximized Factor Exposure Portfolio (MFE) - **Model Construction Idea**: The MFE model is designed to test the effectiveness of individual factors under real-world constraints, such as industry exposure, style exposure, stock weight limits, and turnover constraints. By maximizing single-factor exposure while adhering to these constraints, the model evaluates the predictive power of factors in a controlled environment [40][41]. - **Model Construction Process**: - The optimization model aims to maximize single-factor exposure: $ \begin{array}{ll} max & f^{T}\ w \\ s.t. & s_{l}\leq X(w-w_{b})\leq s_{h} \\ & h_{l}\leq H(w-w_{b})\leq h_{h} \\ & w_{l}\leq w-w_{b}\leq w_{h} \\ & b_{l}\leq B_{b}w\leq b_{h} \\ & \mathbf{0}\leq w\leq l \\ & \mathbf{1}^{T}\ w=1 \end{array} $ - **Objective Function**: Maximize $f^{T}w$, where $f$ represents factor values and $w$ represents stock weights [40][41]. - **Constraints**: 1. **Style Exposure**: $X$ is the factor exposure matrix, $w_b$ is the benchmark weight vector, and $s_l$, $s_h$ are the lower and upper bounds for style exposure [41]. 2. **Industry Exposure**: $H$ is the industry exposure matrix, and $h_l$, $h_h$ are the lower and upper bounds for industry deviation [41]. 3. **Stock Weight Deviation**: $w_l$, $w_h$ are the lower and upper bounds for stock weight deviation [41]. 4. **Constituent Weight Control**: $B_b$ is a binary vector indicating benchmark constituents, and $b_l$, $b_h$ are the lower and upper bounds for constituent weights [41]. 5. **No Short Selling**: Ensures non-negative weights and limits individual stock weights [41]. 6. **Full Investment**: Ensures the portfolio is fully invested with weights summing to 1 [42]. - **Implementation**: - At the end of each month, MFE portfolios are constructed for each factor under the specified constraints. - Historical returns are calculated for the MFE portfolios, adjusted for transaction costs (0.3% per side), and compared to the benchmark [44]. - **Model Evaluation**: The MFE model is effective in testing factor performance under realistic constraints, making it a practical tool for portfolio construction and factor validation [40][41]. --- Quantitative Factors and Construction Methods 1. Factor Name: Book-to-Price Ratio (BP) - **Factor Construction Idea**: Measures valuation by comparing book value to market capitalization [18]. - **Factor Construction Process**: - Formula: $ BP = \frac{\text{Net Assets}}{\text{Market Capitalization}} $ [18]. 2. Factor Name: Earnings-to-Price Ratio (EP) - **Factor Construction Idea**: Evaluates profitability relative to market capitalization [18]. - **Factor Construction Process**: - Formula: $ EP = \frac{\text{Net Income (Quarterly)}}{\text{Market Capitalization}} $ [18]. 3. Factor Name: Earnings-to-Price TTM (EPTTM) - **Factor Construction Idea**: Tracks trailing twelve-month earnings relative to market capitalization [18]. - **Factor Construction Process**: - Formula: $ EPTTM = \frac{\text{Net Income (TTM)}}{\text{Market Capitalization}} $ [18]. 4. Factor Name: Momentum (1-Year Momentum) - **Factor Construction Idea**: Captures price trends by measuring returns over the past year, excluding the most recent month [18]. - **Factor Construction Process**: - Formula: $ \text{1-Year Momentum} = \text{Cumulative Return (Year)} - \text{Return (Last Month)} $ [18]. 5. Factor Name: Analyst Coverage (3-Month Coverage) - **Factor Construction Idea**: Measures the number of analysts covering a stock over the past three months [18]. - **Factor Construction Process**: - Formula: $ \text{3-Month Coverage} = \text{Number of Analysts Covering Stock (Last 3 Months)} $ [18]. --- Factor Backtesting Results 1. Factor Performance in CSI 300 Universe - **Best-Performing Factors (Recent Week)**: EPTTM, Single-Quarter EP, EPTTM Percentile [20]. - **Worst-Performing Factors (Recent Week)**: 1-Year Momentum, Executive Compensation, Illiquidity Shock [20]. 2. Factor Performance in CSI 500 Universe - **Best-Performing Factors (Recent Week)**: BP, Expected BP, Expected EPTTM [22]. - **Worst-Performing Factors (Recent Week)**: 1-Year Momentum, 3-Month Coverage, Illiquidity Shock [22]. 3. Factor Performance in CSI 1000 Universe - **Best-Performing Factors (Recent Week)**: BP, 1-Month Turnover, 3-Month Volatility [24]. - **Worst-Performing Factors (Recent Week)**: 1-Year Momentum, 3-Month Coverage, Single-Quarter ROE [24]. 4. Factor Performance in CSI A500 Universe - **Best-Performing Factors (Recent Week)**: Single-Quarter EP, Expected EPTTM, Expected PEG [26]. - **Worst-Performing Factors (Recent Week)**: 3-Month Reversal, 1-Year Momentum, 1-Month Reversal [26]. 5. Factor Performance in Public Fund Heavyweight Index - **Best-Performing Factors (Recent Week)**: Expected EPTTM, Single-Quarter EP, Expected PEG [28]. - **Worst-Performing Factors (Recent Week)**: 1-Year Momentum, 3-Month Coverage, Expected Net Profit QoQ [28].

Group 1 - The A-share market has maintained a volatile trend this year, with private equity institutions seizing opportunities, resulting in impressive performance [1] - As of May 31, 682 index-enhanced products with performance displays achieved an average return of 10.59% and an average excess return of 11.92%, with 94.57% of products showing positive excess returns [1] - Among these, 403 products had excess returns of at least 10%, with 312 products in the range of 10%-19.99%, 76 products between 20%-29.99%, and 15 products exceeding 30% [1] Group 2 - The CSI 1000 index-enhanced products had an average excess return of 10.95%, with 97.66% of products achieving positive excess returns, while the index itself had a positive average return of 12.24% [1] - The CSI 500 index-enhanced products had an average excess return of 10.25%, with 96.95% of products showing positive excess returns, but the index's negative performance resulted in an average return of 9.20% [1] Group 3 - The CSI 300 index-enhanced products performed the worst, with an average excess return of 5.02% and an average return of only 2.49% due to significant drag from the index [2] - Other index-enhanced products performed exceptionally well, with 60 products achieving an average return of 13.64% and an average excess return of 16.42%, all showing positive excess returns [2] - Air index-enhanced products had an average return of 11.35% and an average excess return of 13.66%, with 90.31% of products achieving positive excess returns [2] Group 4 - Starstone Investment suggests focusing on whether companies exhibit positive changes and if these changes are fully priced in by the market, rather than following stocks with high cumulative gains [3] - Zhengyuan Investment emphasizes adjusting holdings to avoid external disturbances and seek incremental growth, reducing exposure to export-oriented companies affected by tariff disputes while increasing positions in sectors related to the Belt and Road Initiative, domestic consumption upgrades, and military demand [3]

Group 1 - The core viewpoint of the articles highlights the increasing participation of public fund institutions in the index enhancement market, with 93 institutions involved in 366 index enhancement funds as of June 15 [1] - The A500 index is gaining traction among various institutions, with multiple firms launching enhanced strategy ETF products, including the Tianhong CSI A500 Enhanced ETF, which has a management fee of 0.5% [1] - Index enhancement products aim to achieve total returns by combining index performance with excess returns through methods like quantitative analysis, with the A500 index providing a balanced exposure to large, medium, and small-cap companies [2] Group 2 - Compared to off-market index enhancement funds, index enhancement ETFs offer more flexible trading, higher potential returns due to greater position sizes, and lower fees, making them attractive to investors [3] - The development of index enhancement ETFs has seen rapid growth, with 34 products issued and a total scale of approximately 7 billion as of March 2025, indicating strong institutional interest in broad-based indices [3] - The investment logic for the A500 index includes expectations of economic recovery supported by monetary and fiscal policies, as well as the potential for significant excess returns from leading companies in sectors like semiconductors and innovative pharmaceuticals [3]

一、本周指数增强组合表现 沪深300指数增强组合本周超额收益0.74%，本年超额收益5.84%。 中证500指数增强组合本周超额收益0.20%，本年超额收益7.93%。 中证1000指数增强组合本周超额收益0.75%，本年超额收益12.43%。 中证A500指数增强组合本周超额收益0.65%，本年超额收益8.45%。 二、本周选股因子表现跟踪 沪深300成分股中高管薪酬、预期EPTTM、预期PEG等因子表现较好。 中证500成分股中单季ROE、单季ROA、单季营收同比增速等因子表现较 好。 中证1000成分股中高管薪酬、预期EPTTM、单季ROE等因子表现较好。 中证A500指数成分股中单季ROE、单季ROA、预期EPTTM等因子表现较 好。 公募基金重仓股中单季营收同比增速、一年动量、预期PEG等因子表现较 好。 三、本周公募基金指数增强产品表现跟踪 沪深300指数增强产品本周超额收益最高0.71%，最低-0.43%，中位数 0.22%。 中证500指数增强产品本周超额收益最高1.46%，最低-0.57%，中位数 0.29%。 中证1000指数增强产品本周超额收益最高1.26%，最低-0.68%，中位数 0 ...

一、本周指数增强组合表现 沪深300指数增强组合本周超额收益0.83%，本年超额收益5.09%。 中证500指数增强组合本周超额收益1.13%，本年超额收益7.75%。 中证1000指数增强组合本周超额收益1.86%，本年超额收益11.66%。 中证A500指数增强组合本周超额收益1.24%，本年超额收益7.78%。 二、本周选股因子表现跟踪 沪深300成分股中三个月机构覆盖、单季ROA、单季ROE等因子表现较好。 中证500成分股中标准化预期外盈利、一个月反转、DELTAROE等因子表现 较好。 中证1000成分股中单季营收同比增速、DELTAROE、单季ROE等因子表现较 好。 中证A500指数成分股中单季ROE、预期PEG、DELTAROE等因子表现较好。 公募基金重仓股中DELTAROE、一年动量、单季营收同比增速等因子表现较 好。 三、本周公募基金指数增强产品表现跟踪 沪深300指数增强产品本周超额收益最高1.14%，最低-0.35%，中位数 0.07%。 中证500指数增强产品本周超额收益最高0.88%，最低-0.75%，中位数 0.07%。 中证1000指数增强产品本周超额收益最高0.89%，最 ...

Quantitative Models and Construction Methods - **Model Name**: Neutral Constraint Maximum Factor Exposure Portfolio **Model Construction Idea**: The model aims to maximize the exposure of a target factor in the portfolio while maintaining neutrality in industry and style exposures relative to the benchmark index[59][60][61] **Model Construction Process**: 1. Objective Function: Maximize the portfolio's exposure to the target factor $Max \ w^{\prime} X_{target}$ 2. Constraints: - Industry neutrality: $(w-w_{b})^{\prime} X_{ind}=0$ - Style neutrality (size, valuation, growth): $(w-w_{b})^{\prime} X_{Beta}=0$ - Stock weight deviation from benchmark: $|w-w_{b}|\leq1\%$ - No short selling: $w\geq0$ - Full investment: $w^{\prime} 1=1$ - Stocks must belong to the benchmark: $w^{\prime} B=1$ 3. Factor neutralization: Before constructing the portfolio, factors are neutralized to remove correlations with industry and style factors, and all factor directions are adjusted to be positive[59][60][61] **Model Evaluation**: The model effectively balances factor exposure maximization with risk control through constraints, ensuring robustness in various market conditions[59][60][61] --- Model Backtesting Results - **Neutral Constraint Maximum Factor Exposure Portfolio** - **CSI 300 Enhanced Portfolio**: Weekly excess return 0.35%, monthly excess return 0.33%, annual excess return 0.40%[56] - **CSI 500 Enhanced Portfolio**: Weekly excess return -0.52%, monthly excess return 1.34%, annual excess return -0.05%[56] - **CSI 800 Enhanced Portfolio**: Weekly excess return 0.29%, monthly excess return 1.59%, annual excess return 0.74%[56] - **CSI 1000 Enhanced Portfolio**: Weekly excess return 0.25%, monthly excess return 2.83%, annual excess return 15.68%[57] - **CSI 300 ESG Enhanced Portfolio**: Weekly excess return 0.14%, monthly excess return 0.62%, annual excess return 5.94%[57] --- Quantitative Factors and Construction Methods - **Factor Name**: Beta Factor **Factor Construction Idea**: Measures the sensitivity of a stock's returns to the market's returns, capturing risk preferences in the market[15][16] **Factor Construction Process**: - Calculate the stock's daily returns over the past 252 trading days - Perform an exponentially weighted regression of the stock's returns against the market index (CSI All Share Index) with a half-life of 63 days - Use the regression coefficient as the Beta value[15][16] **Factor Evaluation**: The Beta factor effectively captures market risk preferences, as evidenced by its strong performance in high-risk environments[15][16] - **Factor Name**: Size Factor **Factor Construction Idea**: Captures the size effect, where smaller-cap stocks tend to outperform larger-cap stocks[15][16] **Factor Construction Process**: - Compute the natural logarithm of the total market capitalization of each stock[15][16] **Factor Evaluation**: The size factor consistently demonstrates the small-cap effect, particularly in high-volatility markets[15][16] - **Factor Name**: Momentum Factor **Factor Construction Idea**: Identifies stocks with strong past performance, assuming trends persist in the short term[15][16] **Factor Construction Process**: - Calculate cumulative returns over the past 504 trading days, excluding the most recent 21 days - Apply an exponentially weighted average with a half-life of 126 days to the return series[15][16] **Factor Evaluation**: The momentum factor is effective in trending markets but may underperform during reversals[15][16] --- Factor Backtesting Results - **Beta Factor**: Weekly long-short return 2.61%, monthly long-short return -1.82%[18] - **Size Factor**: Weekly long-short return -2.11%, monthly long-short return -8.87%[18] - **Momentum Factor**: Weekly long-short return 0.58%, monthly long-short return -1.85%[18] --- Stock Selection Factors and Performance - **Factor Name**: Single Quarter ROE **Factor Construction Idea**: Measures profitability by comparing net income to shareholder equity for a single quarter[20][21] **Factor Construction Process**: - Calculate the ratio of net income attributable to shareholders to total shareholder equity for the most recent quarter[20][21] **Factor Backtesting Results**: - CSI 300: Weekly excess return 0.72%, monthly excess return 1.90%, annual excess return 5.43%[23] - CSI 500: Weekly excess return 0.85%, monthly excess return 0.91%, annual excess return 5.90%[29] - CSI 800: Weekly excess return 1.02%, monthly excess return 2.06%, annual excess return 3.95%[32] - CSI 1000: Weekly excess return 1.09%, monthly excess return 2.44%, annual excess return -3.47%[36] - **Factor Name**: Single Quarter EP **Factor Construction Idea**: Measures earnings yield by comparing net income to market capitalization for a single quarter[20][21] **Factor Construction Process**: - Calculate the ratio of net income attributable to shareholders to total market capitalization for the most recent quarter[20][21] **Factor Backtesting Results**: - CSI 300: Weekly excess return 0.89%, monthly excess return 1.65%, annual excess return 0.86%[23] - CSI 500: Weekly excess return 0.50%, monthly excess return 1.87%, annual excess return -4.22%[29] - CSI 800: Weekly excess return 1.06%, monthly excess return 2.04%, annual excess return -1.54%[32] - CSI 1000: Weekly excess return 0.38%, monthly excess return 1.69%, annual excess return -5.99%[36] - **Factor Name**: 20-Day Reversal **Factor Construction Idea**: Captures short-term mean reversion by focusing on stocks with recent underperformance[20][21] **Factor Construction Process**: - Calculate cumulative returns over the past 20 trading days[20][21] **Factor Backtesting Results**: - CSI 300: Weekly excess return 0.11%, monthly excess return -0.15%, annual excess return 8.90%[23] - CSI 500: Weekly excess return 0.80%, monthly excess return 1.57%, annual excess return 3.33%[29] - CSI 800: Weekly excess return 0.39%, monthly excess return 0.59%, annual excess return 8.27%[32] - CSI 1000: Weekly excess return 0.64%, monthly excess return 1.38%, annual excess return -6.69%[36]

Quantitative Models and Construction Methods Model Name: Guosen JinGong Index Enhanced Portfolio - **Model Construction Idea**: The model aims to outperform its respective benchmarks by constructing enhanced portfolios based on multiple factors[12][13] - **Model Construction Process**: The construction process includes three main components: return prediction, risk control, and portfolio optimization. The model uses the following optimization formula to construct the Maximized Factor Exposure (MFE) portfolio: $$ \begin{array}{ll} \text{max} & f^{T} w \\ \text{s.t.} & s_{l} \leq X(w - w_{b}) \leq s_{h} \\ & h_{l} \leq H(w - w_{b}) \leq h_{h} \\ & w_{l} \leq w - w_{b} \leq w_{h} \\ & b_{l} \leq B_{b} w \leq b_{h} \\ & \mathbf{0} \leq w \leq l \\ & \mathbf{1}^{T} w = 1 \end{array} $$ where \( f \) represents the factor values, \( w \) is the stock weight vector, \( X \) is the factor exposure matrix, \( H \) is the industry exposure matrix, and \( B_{b} \) is the 0-1 vector indicating whether a stock is part of the benchmark index[41][42][43] - **Model Evaluation**: The model is designed to control various exposures and constraints, making it more likely to achieve stable and reliable performance in real-world conditions[41][42][43] Model Backtesting Results - **Guosen JinGong Index Enhanced Portfolio**: - **CSI 300 Index Enhanced Portfolio**: Weekly excess return 0.83%, annual excess return 5.09%[6][15] - **CSI 500 Index Enhanced Portfolio**: Weekly excess return 1.13%, annual excess return 7.75%[6][15] - **CSI 1000 Index Enhanced Portfolio**: Weekly excess return 1.86%, annual excess return 11.66%[6][15] - **CSI A500 Index Enhanced Portfolio**: Weekly excess return 1.24%, annual excess return 7.78%[6][15] Quantitative Factors and Construction Methods Factor Name: Single-Quarter ROE - **Factor Construction Idea**: Measures the return on equity for a single quarter to evaluate a company's profitability[18] - **Factor Construction Process**: $$ \text{Single-Quarter ROE} = \frac{\text{Net Income} \times 2}{\text{Beginning Equity} + \text{Ending Equity}} $$ where net income is the net profit attributable to shareholders, and equity is the shareholders' equity at the beginning and end of the quarter[18] - **Factor Evaluation**: This factor is effective in capturing the profitability of companies and has shown good performance in various index spaces[18] Factor Name: Delta ROE - **Factor Construction Idea**: Measures the change in return on equity compared to the same quarter of the previous year to capture improvements or deteriorations in profitability[18] - **Factor Construction Process**: $$ \text{Delta ROE} = \text{Current Quarter ROE} - \text{ROE of the Same Quarter Last Year} $$ where ROE is calculated as above[18] - **Factor Evaluation**: This factor is useful for identifying companies with improving or deteriorating profitability trends[18] Factor Backtesting Results - **CSI 300 Index Space**: - **Single-Quarter ROE**: Weekly excess return 0.64%, monthly excess return 1.78%, annual excess return 3.31%, historical annualized return 4.34%[20] - **Delta ROE**: Weekly excess return 0.41%, monthly excess return 1.59%, annual excess return 3.58%, historical annualized return 3.62%[20] - **CSI 500 Index Space**: - **Single-Quarter ROE**: Weekly excess return 0.35%, monthly excess return 1.14%, annual excess return 1.39%, historical annualized return 5.12%[22] - **Delta ROE**: Weekly excess return 0.89%, monthly excess return 1.41%, annual excess return 2.54%, historical annualized return 7.27%[22] - **CSI 1000 Index Space**: - **Single-Quarter ROE**: Weekly excess return 1.75%, monthly excess return 2.65%, annual excess return -1.60%, historical annualized return 7.78%[24] - **Delta ROE**: Weekly excess return 1.78%, monthly excess return 1.50%, annual excess return 3.83%, historical annualized return 8.66%[24] - **CSI A500 Index Space**: - **Single-Quarter ROE**: Weekly excess return 0.84%, monthly excess return 2.37%, annual excess return 3.03%, historical annualized return 2.79%[26] - **Delta ROE**: Weekly excess return 0.75%, monthly excess return 1.77%, annual excess return 3.11%, historical annualized return 3.47%[26] - **Public Fund Heavy Index Space**: - **Single-Quarter ROE**: Weekly excess return 0.57%, monthly excess return 1.41%, annual excess return 0.99%, historical annualized return 2.52%[28] - **Delta ROE**: Weekly excess return 1.03%, monthly excess return 1.71%, annual excess return 3.79%, historical annualized return 3.64%[28]

Group 1 - The core viewpoint emphasizes the investment value of the CSI 500 Index under the backdrop of policy support for emerging industries and positive economic recovery expectations in China [1] - The CSI 500 Index covers listed companies with market capitalization in the 50%-65% range, representing the backbone of the market with stability and growth potential [1] - The index has a balanced industry distribution, focusing on "specialized, refined, and innovative" sectors, with emerging industries like power equipment, machinery manufacturing, aerospace, semiconductors, electronics, computers, and pharmaceuticals accounting for approximately 43% of the weight [1] Group 2 - The Huashang CSI 500 Index Enhanced Fund employs a quantitative stock selection strategy developed by Huashang Fund's quantitative investment department, combining big data mining and quantitative models [2] - The fund aims to capture both beta and alpha returns while closely tracking the CSI 500 Index [2] - The fund is managed by experienced professionals, including Dr. Deng Mo and Dr. Hai Yang, who have extensive backgrounds in quantitative investment and securities research [5][8] Group 3 - The fund's fundraising period is from May 19, 2025, to June 13, 2025, with a maximum fundraising limit of 8 billion yuan [9] - Huashang Fund is recognized for its strong active management capabilities, ranking among the top ten in absolute return performance for its active equity funds over the medium to long term [5]

Group 1: Weekly Index Enhanced Portfolio Performance - The CSI 300 index enhanced portfolio achieved an excess return of 1.06% this week and 4.21% year-to-date [1][5] - The CSI 500 index enhanced portfolio recorded an excess return of -0.05% this week and 6.45% year-to-date [1][5] - The CSI 1000 index enhanced portfolio had an excess return of 0.72% this week and 9.41% year-to-date [1][5] - The CSI A500 index enhanced portfolio reported an excess return of 0.36% this week and 6.44% year-to-date [1][5] Group 2: Stock Selection Factor Performance Tracking - In the CSI 300 component stocks, factors such as three-month volatility, one-month volatility, and standardized unexpected earnings performed well [1][6] - In the CSI 500 component stocks, factors like quarterly revenue growth year-on-year, standardized unexpected revenue, and non-liquidity shocks showed strong performance [1][6] - For the CSI 1000 component stocks, factors such as EPTTM one-year percentile, SPTTM, and BP performed well [1][6] - In the CSI A500 index component stocks, factors like BP, quarterly EP, and three-month volatility showed good performance [1][6] - Among publicly offered fund heavy stocks, factors like quarterly unexpected magnitude, standardized unexpected earnings, and standardized unexpected revenue performed well [1][6] Group 3: Public Fund Index Enhanced Product Performance Tracking - The CSI 300 index enhanced products had a maximum excess return of 1.37%, a minimum of -0.21%, and a median of 0.32% this week [1][19] - The CSI 500 index enhanced products had a maximum excess return of 0.92%, a minimum of -0.09%, and a median of 0.35% this week [1][20] - The CSI 1000 index enhanced products had a maximum excess return of 0.98%, a minimum of -0.21%, and a median of 0.24% this week [1][22] - The CSI A500 index enhanced products had a maximum excess return of 0.70%, a minimum of -0.19%, and a median of 0.36% this week [1][24]

Fund Overview - The fund is named "Guolian An CSI A500 Enhanced Strategy ETF" and is a stock-type open-ended index fund [16] - The fund aims to achieve excess returns by employing quantitative strategies to select stocks while effectively tracking the underlying index [16] Fund Issuance Details - The fund will be available for subscription from June 11, 2025, to June 20, 2025, with both online and offline cash subscription options [21][22] - The maximum fundraising target for the fund is 2 billion RMB, with a minimum subscription amount of 2 billion RMB and at least 200 investors required for the fund to be established [6][22] Subscription Process - Investors must have a Shanghai Stock Exchange A-share account or a securities investment fund account to subscribe [8][30] - Online subscriptions require a minimum of 1,000 shares per transaction, while offline subscriptions through the fund manager require a minimum of 50,000 shares [4][30] Fund Management and Custody - The fund is managed by Guolian An Fund Management Co., Ltd., and the custodian is China Merchants Securities Co., Ltd. [49][50] - The fund's net asset value may fluctuate due to market conditions, and investors should be aware of the associated risks [12] Fund Structure and Strategy - The fund will track the CSI A500 Index, which includes A-shares and red-chip companies that meet specific criteria [8][9] - The selection process for the index includes filtering out companies with low ESG ratings and prioritizing those with high market capitalization [10][11] Investor Information - Investors can inquire about subscription details through the fund manager's customer service hotline [51] - The fund's offering documents, including the prospectus, will be available on the fund manager's website [15]