Group 1: Brokerage Business and Internet Development - The company's brokerage business market share for stock-based transactions is 2.75% of the total market, with continuous improvement in client account numbers and quality [2] - The company emphasizes both new and existing clients, particularly leveraging internet methods to enhance operational efficiency and transform offline outlets [2] - There will be increased investment in digital operations to meet diverse client needs [2] Group 2: Wealth Management Ecosystem - For individual clients, the company has established a professional investment advisory team and various wealth management service brands, enhancing product offerings and quality [2] - For institutional clients, the company provides customized comprehensive financial services, addressing their investment pain points through an integrated service platform [2] Group 3: Proprietary Investment Business - The company employs a major asset allocation strategy to manage investments, utilizing stocks, bonds, derivatives, convertible bonds, and funds to mitigate volatility and market risks [3] - The focus is on dividend investment, value growth investment, and discount protection investment strategies, with a strong emphasis on stable fixed-income investments [3] - The derivatives business is conducted with a focus on compliance and risk control, aiming for high-quality development [3] Group 4: Acquisition of Wanhe Securities - The acquisition of Wanhe Securities has been approved by the Shenzhen Stock Exchange's merger and reorganization review committee, pending completion of registration and other procedures [4] - Post-acquisition, the company aims to leverage Wanhe Securities' advantages in cross-border asset management within the Hainan Free Trade Port [4] Group 5: Investment Banking Development Strategy - The investment banking division focuses on core responsibilities, enhancing professional capabilities, and increasing the scale of equity financing projects [4] - There is a push for business innovation, particularly in mergers and acquisitions, Hong Kong stock business, and technology innovation bonds [4] - Long-term planning is emphasized to develop an industrial investment banking model and enhance service capabilities for technology enterprises [4]

- Model Name: Domestic Asset BL Model 1; Model Construction Idea: The BL model is an improvement of the traditional mean-variance model, combining subjective views with quantitative models using Bayesian theory; Model Construction Process: The model optimizes asset allocation weights based on investor market analysis and asset return forecasts, effectively addressing the sensitivity of the mean-variance model to expected returns; Model Evaluation: The BL model provides a higher fault tolerance compared to purely subjective investments, offering efficient asset allocation solutions[14][15] - Model Name: Domestic Asset BL Model 2; Model Construction Idea: Similar to Domestic Asset BL Model 1; Model Construction Process: The model is built on the same principles as Domestic Asset BL Model 1 but with different asset selections; Model Evaluation: Similar to Domestic Asset BL Model 1[14][15] - Model Name: Global Asset BL Model 1; Model Construction Idea: Similar to Domestic Asset BL Model 1; Model Construction Process: The model is built on the same principles as Domestic Asset BL Model 1 but targets global assets; Model Evaluation: Similar to Domestic Asset BL Model 1[14][15] - Model Name: Global Asset BL Model 2; Model Construction Idea: Similar to Global Asset BL Model 1; Model Construction Process: The model is built on the same principles as Global Asset BL Model 1 but with different asset selections; Model Evaluation: Similar to Global Asset BL Model 1[14][15] - Model Name: Domestic Asset Risk Parity Model; Model Construction Idea: The risk parity model aims to equalize the risk contribution of each asset in the portfolio; Model Construction Process: The model calculates the risk contribution of each asset and optimizes the deviation between actual and expected risk contributions to determine final asset weights; Model Evaluation: The model provides stable returns across different economic cycles[20][21] - Model Name: Global Asset Risk Parity Model; Model Construction Idea: Similar to Domestic Asset Risk Parity Model; Model Construction Process: The model is built on the same principles as Domestic Asset Risk Parity Model but targets global assets; Model Evaluation: Similar to Domestic Asset Risk Parity Model[20][21] - Model Name: Macro Factor-Based Asset Allocation Model; Model Construction Idea: The model constructs a macro factor system covering growth, inflation, interest rates, credit, exchange rates, and liquidity; Model Construction Process: The model uses the Factor Mimicking Portfolio method to construct high-frequency macro factors and optimizes asset weights based on subjective macro views; Model Evaluation: The model bridges macro research and asset allocation, reflecting subjective macro judgments in asset allocation[23][24][27] - Domestic Asset BL Model 1, Weekly Return: 0.02%, July Return: 0.61%, 2025 YTD Return: 2.46%, Annualized Volatility: 2.16%, Maximum Drawdown: 1.31%[17][19] - Domestic Asset BL Model 2, Weekly Return: -0.06%, July Return: 0.48%, 2025 YTD Return: 2.41%, Annualized Volatility: 1.93%, Maximum Drawdown: 1.06%[17][19] - Global Asset BL Model 1, Weekly Return: -0.09%, July Return: 0.56%, 2025 YTD Return: 0.95%, Annualized Volatility: 1.95%, Maximum Drawdown: 1.64%[17][19] - Global Asset BL Model 2, Weekly Return: -0.07%, July Return: 0.51%, 2025 YTD Return: 1.59%, Annualized Volatility: 1.7%, Maximum Drawdown: 1.28%[17][19] - Domestic Asset Risk Parity Model, Weekly Return: -0.02%, July Return: 0.36%, 2025 YTD Return: 2.7%, Annualized Volatility: 1.46%, Maximum Drawdown: 0.76%[22][23] - Global Asset Risk Parity Model, Weekly Return: -0.03%, July Return: 0.3%, 2025 YTD Return: 2.16%, Annualized Volatility: 1.66%, Maximum Drawdown: 1.2%[22][23] - Macro Factor-Based Asset Allocation Model, Weekly Return: -0.03%, July Return: 0.38%, 2025 YTD Return: 2.76%, Annualized Volatility: 1.36%, Maximum Drawdown: 0.64%[28][29]

Report Industry Investment Rating No relevant content provided. Core Viewpoints of the Report - In the past two months, geopolitical risks did not cause spill - over effects, and the main line was to maintain stable geopolitical conflicts. Bilateral trade negotiations and tariff issues were under market attention, and China - US economic and trade conflicts maintained a stable stance. Domestic policies showed changes, with the "anti - involution" policy framework moving from expectation to implementation and the fiscal policy showing stronger signals of marginal efforts [3]. - The global risk preference has been repaired, and risk assets generally rose. The US dollar remained weakly volatile, and the market structure changed. The sectors corresponding to "anti - involution" and "expanding domestic demand" in the commodity market were strong, and the pricing expectations for re - inflation and profit repair increased [8][9]. - In the next 1 - 2 months, continue to track geopolitical disturbances and the implementation of US multilateral tariffs and China - US tariff suspension. Domestic policies should be tracked for their hedging effects on the decline in external demand. For financial products, the macro - liquidity is expected to remain stable and positive, and for commodities, the impact of "anti - involution" policies on the market is increasing [11][12][14]. Summary by Directory 1. Market Review and Outlook - **Macro Operation Characteristics**: Geopolitical conflicts remained stable, trade negotiations were under market attention, and domestic policies changed. The "anti - involution" policy was expected to be implemented, and the fiscal policy showed marginal efforts [3]. - **Characteristics of Major Asset Operations**: Since mid - June, global risk preference has been repaired, risk assets generally rose, the US dollar remained weakly volatile, and the market structure changed. The sectors related to "anti - involution" and "expanding domestic demand" in the commodity market were strong [8][9]. - **Future Outlook**: Track geopolitical disturbances, the implementation of US multilateral tariffs and China - US tariff suspension, and the hedging effects of domestic policies on external demand [11][12]. 2. Financial Products - **Stock Index**: In July, the A - share market performed well, with the growth style stronger than the value style. The implementation of the long - term assessment mechanism for insurance funds and "anti - involution" policies supported the market. In August, if there is incremental capital inflow, the performance of equity assets is worth looking forward to, and attention should be paid to sector rotation [23]. - **Treasury Bonds**: Since July, the bond market has been weak, and the yield curve has shown a "bear steepening" feature. In August, the yield of the 10 - year treasury bond may continue to fluctuate within a range, and a curve steepening strategy is recommended [24][25]. 3. Commodities - **Energy**: Oil prices are likely to be under pressure and fluctuate. The coal market may have a tail - end upward period, and the PG/ crude oil ratio is expected to be suppressed. The natural gas market may be weak during the replenishment season [18][27][29]. - **Chemicals**: Propylene futures lack unilateral opportunities in the short term. Styrene is expected to continue its weak consolidation pattern. A strategy of going long on glass and short on soda ash is recommended [31][33][34]. - **Non - ferrous Metals and Precious Metals**: Polysilicon may remain oscillating strongly in the short term, and lithium can be considered for long - position replenishment after a correction. Alumina may face a callback risk, and copper prices may face resistance at integer levels [37][39]. - **Black Metals**: Steel prices are expected to rise with fluctuations, and it is not recommended to chase the rise of iron ore at high prices. Coking coal may be strong in the short term but face valuation pressure in the medium term. Ferroalloys are expected to rise first and then fall with a rising bottom [41][42][43]. - **Agricultural Products**: For oils, it is recommended to go long on soybean and palm oils at low prices. Cotton is expected to oscillate at a high level [46][48].

Group 1 - The core viewpoint is that the domestic market in China is expected to show a "dual bull" pattern in both equity and bond markets in the second half of the year, driven by structural investment opportunities in new economy sectors and a low-growth, low-inflation environment in the bond market [1] - The A-share market, despite uncertainties, is likely to benefit from a loose liquidity environment and recognition from decision-makers of the stock market's impact on public confidence and consumption [1] - In the cyclical sector, there are structural opportunities in non-ferrous metals, but a comprehensive rebound in the sector requires significant improvement in macro demand [1] Group 2 - The technology sector is expected to experience a clear domestic and international divergence, with overseas demand for computing power exceeding expectations, particularly in hardware segments benefiting from global AI infrastructure, such as GPU supply chains and optical modules [2] - The bond market is influenced by China's rapid demographic changes and complex geopolitical situation, with a focus on consumption and technology as new growth points for the economy [2] - The investment strategy for the second half of the year should consider allocations to fixed income plus, equity assets, overseas short-term bonds, and gold to capitalize on potential benefits from China's economic transformation [2]

Report Summary 1. Report Industry Investment Rating - No information provided in the given content. 2. Core Views - The report presents a comprehensive overview of the global asset market performance on July 28, 2025, including data on major economies' 10 - year and 2 - year government bond yields, exchange rates, stock indices, and futures trading data [3][5][6]. 3. Summary by Directory Global Asset Market Performance - **Government Bond Yields**: - **10 - year Government Bonds**: In major economies such as the US, UK, France, etc., yields showed various changes. For example, the US 10 - year government bond yield was 4.412 on July 28, 2025, with a latest change of 0.033, a one - week change of 0.182, and a one - month change of 0.209 [3]. - **2 - year Government Bonds**: Different economies also had different yield trends. For instance, the US 2 - year government bond yield was 3.903 on July 28, 2025, with a latest change of 0.022, a one - week change of 0.038, and a one - month change of - 0.061 [3]. - **Exchange Rates**: - **Dollar against Major Emerging Economies' Currencies**: The dollar against currencies like the South African rand, Russian ruble, etc., had different percentage changes. For example, the dollar - South African rand exchange rate was 5.589 on July 28, 2025, with a latest change of 0.44% and a one - week change of 0.38% [3]. - **Renminbi**: The on - shore and off - shore renminbi exchange rates and the middle - price also had corresponding changes. For example, the on - shore renminbi exchange rate was 7.179 on July 28, 2025, with a latest change of 0.13% and a one - week change of 0.13% [3]. - **Stock Indices**: - **Major Economies' Stock Indices**: Indices such as the Dow Jones, S&P 500, and Nasdaq had different percentage changes. For example, the Dow Jones Industrial Average was 6389.770 on July 28, 2025, with a latest change of 0.02%, a one - week change of 1.33%, and a one - month change of 2.98% [3]. - **Other Stock Indices**: Including the Nikkei, Hang Seng Index, etc., also showed different trends. For example, the Hang Seng Index was 25562.130 on July 28, 2025, with a latest change of 0.68%, a one - week change of 2.27%, and a one - month change of 6.19% [3]. - **Credit Bond Indices**: Different credit bond indices in emerging economies and developed economies, such as emerging economies' investment - grade and high - yield credit bond indices, and the US and euro - zone investment - grade and high - yield credit bond indices, showed different performances [3]. Stock Index Futures Trading Data - **Index Performance**: The closing prices and percentage changes of A - shares, CSI 300, SSE 50, ChiNext, and CSI 500 were presented. For example, the closing price of A - shares was 3597.94 with a percentage change of 0.12% [5]. - **Valuation**: The PE (TTM) and its环比 changes of CSI 300, SSE 50, and CSI 500 were given. For example, the PE (TTM) of CSI 300 was 13.52 with a环比 change of 0.01 [5]. - **Risk Premium**: Although the specific values were not filled in, the relevant indicators for CSI 300, SSE 50, etc., were mentioned [5]. - **Fund Flow**: The latest values and 5 - day average values of fund flows in A - shares, the main board, and other segments were provided. For example, the latest value of A - share fund flow was - 472.56 [5]. - **Trading Volume**: The latest trading volumes and环比 changes of the Shanghai and Shenzhen stock markets, CSI 300, etc., were shown. For example, the latest trading volume of the Shanghai and Shenzhen stock markets was 17423.07 with a环比 change of - 450.30 [5]. - **Main Contract Premium or Discount**: The basis and percentage changes of IF, IH, and IC were presented. For example, the basis of IF was - 13.82 with a percentage change of - 0.33% [5]. Treasury Bond Futures Trading Data - **Closing Prices and Percentage Changes**: The closing prices of T00, TF00, T01, and TF01 were 108.395, 105.720, 108.400, and 105.785 respectively, with percentage changes of 0.00% each [6]. - **Funding Rates**: The R001, R007, and SHIBOR - 3M were 1.4907%, 1.6264%, and 1.5600% respectively, with daily changes of - 20.00 BP, - 6.00 BP, and 0.00 BP [6].

Market Overview - The macro environment shows signs of marginal improvement in growth and inflation, with liquidity remaining loose[4] - The CSI 500 index leads the A-share market with a gain of 3.28%, reflecting a structural market rally[4] - The total trading volume in the A-share market increased by 19.3% week-on-week, indicating enhanced investor participation[61] Asset Allocation Recommendations - Fixed Income: Focus on medium to short-duration high-grade credit bonds while avoiding long-duration bonds due to rising interest rate risks[5] - A-shares: Maintain a cautious approach due to valuation pressures, while looking for rotation opportunities in undervalued sectors[5] - Commodities: Overall underweight position, with a focus on opportunities in new energy and domestic demand-related sectors[5] Risk Factors - Key risks include policy adjustments, market volatility, geopolitical shocks, economic data validation risks, and liquidity transmission risks[6] International Markets - Recent U.S. economic data has marginally exceeded expectations, suggesting potential opportunities in U.S. equities[8] - The U.S. dollar index fell by 0.82%, indicating a weakening dollar which may benefit non-U.S. assets[58] Inflation and Growth Indicators - The Producer Price Index (PPI) continues to show downward pressure, while the Consumer Price Index (CPI) has shown marginal improvement, rising by 0.1% year-on-year[53] - The Business Conditions Index (BCI) recorded a value of 49.3, indicating a contraction in business conditions[44]

金融工程| 证券研究报告 —周报 2025 年 7 月 27 日 中银量化大类资产跟踪 融资余额持续上行，小盘成长风格占优行情延 续 股票市场概览 ◼ 本周 A 股上涨，港股上涨，美股上涨，其他海外权益市场走势分化。 A 股风格与拥挤度 成长 vs 红利：成长风格拥挤度及超额净值持续处于历史低位；红利 风格拥挤度近期处于历史较低位置。 小盘 vs 大盘：大盘、小盘风格超额净值及拥挤度均处于历史低位。 微盘股 vs 基金重仓：近期微盘股拥挤度上升至历史较高位置；基金 重仓拥挤度及超额累计净值持续处于历史低位。 A 股行情及成交热度 汇率市场 ◼ 近一周在岸人民币较美元升值，离岸人民币较美元升值。 商品市场 ◼ 本周中国商品市场整体上涨，美国商品市场整体上涨。 ◼ 本周领涨的行业为煤炭、钢铁、有色金属；领跌的行业为银行、综合 金融、通信。本周成交热度最高的行业为建筑、钢铁、轻工制造；成 交热度最低的行业为电子、食品饮料、传媒。 A 股估值与股债性价比 A 股资金面 机构调研活跃度 ◼ 当前机构调研活跃度历史分位居前的行业为房地产、商贸零售、通 信，居后的行业为银行、医药、电子。 利率市场 ◼ 本周中国国债利率上涨 ...

1. Report Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Viewpoints of the Report - The bond market is still in a long - position channel in the second half of 2025. The exchange - rate constraint has weakened significantly. With the coordinated efforts of monetary and fiscal policies, liquidity is expected to remain loose. The decline in institutional liability costs is expected to bring incremental funds to the bond market. The weak economic fundamentals suggest a low possibility of short - term fiscal policy intensification, and inflation improvement may occur in the fourth quarter [1]. - The allocation value of 10 - year treasury bonds is prominent. They are suitable for asset allocation, with better market depth and breadth. Compared with medium - short - term and ultra - long - term treasury bonds, they have advantages in duration and risk - return ratio [1]. - The Shanghai Stock Exchange 10 - year Treasury Bond Index can connect treasury bond futures and spot markets. It has high return stability, low volatility, and low risk [1]. - The Guotai Shanghai Stock Exchange 10 - year Treasury Bond ETF has investment value, including low fees, good tracking effect, scarcity, diverse trading mechanisms, and excellent investment performance [1]. 3. Summary by Directory 3.1 Bond Market Review and Future Outlook 3.1.1 Review of the Interest - Rate Bond Market in the First Half of 2025 - The yield curve of treasury bonds first experienced a "bear - flat" and then a "bull - flat" trend. In Q1 2025, long - term bonds corrected due to tightened funds and bank liability pressure. In April 2025, the bond market quickly turned bullish. From May to June 2025, after the yield declined to a low level, the focus was on exploring spreads [7]. - The bond market in 2025 has three new features: the central bank's policy rate is the bottom of the money market; short - term bonds perform weakly, and long - term bonds are difficult to trade; the overall fundamentals are stable, but tariff pulses have a large impact [13]. 3.1.2 The Bond Market Remains in a Long - Position Channel in the Second Half of 2025 - Liquidity is expected to remain loose in July. The decline in institutional liability costs will bring incremental funds to the bond market, including the reset of bank time deposits and the potential reduction of insurance product preset interest rates [17][21]. - The weak economic fundamentals suggest a low possibility of short - term fiscal policy intensification. Inflation may bottom out in the third quarter, and improvement may occur in the fourth quarter. The bond market is still in a long - position window, but the odds are limited, and the current trading logic may continue to focus on exploring spreads [1][29]. 3.1.3 The Allocation Value of 10 - Year Treasury Bonds is Prominent - 10 - year treasury bonds are suitable for asset allocation as their pricing is based on fundamentals, and their pricing logic is different from that of stocks and commodities [37]. - The 10 - year treasury bond market has better depth and breadth, with large scale, wide participation, high trading activity, and a good futures - spot linkage effect. Its market position may be further consolidated in the future [45]. - Compared with medium - short - term treasury bonds, 10 - year treasury bonds have duration offensive advantages and a coupon safety cushion. Compared with ultra - long - term treasury bonds, they have a better risk - return ratio [49][57]. 3.2 Shanghai Stock Exchange 10 - Year Treasury Bond Index: A Bridge Connecting Treasury Bond Futures and Spot Markets 3.2.1 Index Compilation Scheme - The index was launched on March 7, 2013. Its sample bonds are treasury bonds listed on the Shanghai Stock Exchange with a remaining maturity between 6.5 and 10.25 years. It uses market - value weighting to reflect the overall performance of treasury bonds in the corresponding maturity range in the Shanghai market [64]. - The specific compilation scheme includes sample bond selection, index calculation, and sample adjustment (regular and temporary adjustments) [67]. 3.2.2 Basic Index Features - The index has high return stability, low volatility, and low risk. Since the base period, its cumulative return has reached 85.76%, with an annualized return of 4.82%, a maximum drawdown of - 6.86%, and an annualized volatility of 2.87% [71]. - All sample bonds are deliverable bonds for T contracts. The index has high concentration, and its duration is generally between 7 and 7.4 years, currently at 7.61 years [74][78]. 3.3 Guotai Shanghai Stock Exchange 10 - Year Treasury Bond ETF 3.3.1 Basic Information - The fund was established on August 4, 2017, by Guotai Fund, with Wang Yu and Wang Zhenyang as fund managers. As of July 18, 2025, its scale is 15.547 billion yuan. The management fee and custody fee are 0.15% and 0.05% respectively [80]. - It is one of the bond funds with the lowest fees, and as an on - exchange product, it does not charge subscription or redemption fees [83]. 3.3.2 Investment Method - The fund mainly invests in the constituent treasury bonds and alternative constituent treasury bonds of the target index (with a proportion of not less than 90% of the fund's net asset value). It uses an optimized sampling replication method to track the target index, aiming for an annualized tracking error of no more than 2%. Since its establishment, the annualized tracking error has been 1.43% [84][87]. 3.3.3 The Only Product Tracking the Shanghai Stock Exchange 10 - Year Treasury Bond Index in the Market - Currently, most domestic interest - rate bond index funds cover policy - financial bond indices, and long - duration interest - rate bond indices and treasury bond indices are relatively scarce. The Guotai Shanghai Stock Exchange 10 - Year Treasury Bond ETF is the only product tracking the Shanghai Stock Exchange 10 - year Treasury Bond Index, with scarcity [91]. 3.3.4 Trading Mechanism - The fund can be traded on the secondary market, and its IOPV is publicly announced, supporting T + 0 trading. It has sufficient liquidity, and the deviation between IOPV and trading price is low [97]. - The fund also supports physical redemption and has a pledge - repurchase business, with a current conversion ratio of about 94.48%, which meets the refinancing needs of investors [102]. 3.3.5 Investment Performance - Since its establishment, the fund has an annualized return of 4.01%, a maximum drawdown of - 4.56%, an annualized volatility of 2.45%, a Calmar ratio of 0.88, and a Sharpe ratio of 1.03. It has achieved positive returns for six consecutive years, and its maximum annual drawdown is generally no more than 3% [103]. - In the past three years, its return has led 92.30% of interest - rate bond index funds [107]. 3.4 Fund Manager Information 3.4.1 Fund Manager Introduction - Guotai Fund was established in March 1998, one of the first batch of standardized fund management companies in China. It has a complete product line and various business qualifications, with a total asset management scale of 114.34 billion yuan [111]. 3.4.2 Fund Manager Introduction - Wang Yu has a master's degree, joined Guotai Fund in January 2016, and currently manages 10 products with a total scale of 23.148 billion yuan [112]. - Wang Zhenyang has a master's degree, joined Guotai Fund in December 2024, and currently manages 4 products with a total scale of 23.302 billion yuan [115].

Core Insights - The public fund market in China reached a record high of 34.05 trillion yuan as of June 30, 2025, marking a 7.04% increase from the previous quarter and a 10.76% increase year-on-year [1] - Non-monetary fund assets grew to 20.11 trillion yuan, with a quarterly increase of 1.29 trillion yuan, reflecting a 6.85% rise [1] - The overall public fund market experienced a net subscription of 1.25 trillion units in Q2 2025, with a net subscription ratio of 4.31% [1] Fund Products and Company Performance - In Q2 2025, equity funds saw a growth of 271.47 billion yuan, reaching a total of 4.74 trillion yuan, while mixed funds experienced a slight increase of 0.02% to 3.32 trillion yuan [2] - Active equity funds faced net redemptions totaling 107.34 billion units, with ordinary stock funds leading at a redemption rate of 4.75% [2] - Bond funds and money market funds regained investor interest, with bond funds achieving a net subscription of 459.25 billion units and a growth of 8.74% to 10.77 trillion yuan [3] - Commodity funds surged by 47.8% to 268.31 billion yuan, driven by rising gold prices [3] - The ETF market reached a new high of 4.31 trillion yuan, with stock ETFs accounting for 75.06% of the total [3] Company Rankings and Growth - The top ten public fund managers remain unchanged, with E Fund and Huaxia Fund leading in non-monetary fund management scale, both exceeding 1 trillion yuan [6] - Huaxia Fund reported a significant growth of 181.49 billion yuan in Q2, leading the industry in scale increase [6] - In the first half of 2025, Huaxia Fund's growth was 307.34 billion yuan, followed by E Fund and Xingye Fund [6] - Huaxia Fund's index products contributed significantly to its growth, reaching 857.97 billion yuan, accounting for 66.48% of its non-monetary scale [7] Investor Engagement and Services - Huaxia Fund focuses on enhancing investor experience through a diverse range of over 400 public products and a multi-asset platform [8] - The "Red Rocket" platform, launched in late 2024, has attracted over 10 million users, providing various fund data and indicators [8] - The upgraded "Red Rocket 2.0" offers new features for asset management and historical performance testing, enhancing investor engagement [9]

Quantitative Models and Construction Methods 1. Model Name: "Core + Satellite" Dual-Layer Framework - **Model Construction Idea**: The model aims to balance "stability" and "growth" by combining low-correlation asset classes to smooth volatility and achieve returns[4][53] - **Model Construction Process**: - **Core Layer**: Primarily consists of interest rate bonds, supplemented by credit bonds[53] - **Satellite Layer**: Includes high-volatility assets such as equities, overseas assets, and commodities. These assets are allocated across regions and strategies to reduce portfolio drawdowns and achieve stable returns[53] - **Model Evaluation**: The dual-layer structure effectively reduces portfolio volatility while maintaining stable returns, aligning with the fund's conservative investment objectives[4][53] 2. Risk Control System - **Model Construction Idea**: The primary goal is to limit maximum drawdowns to ensure principal safety while pursuing stable annualized returns[54] - **Model Construction Process**: - Strict risk control measures are implemented to ensure a positive return experience for investors at any entry point[54] - Risk budgets are adjusted dynamically to reduce exposure to asset classes with anticipated risks, avoiding "buying the dip" strategies[54] - **Model Evaluation**: The risk control system ensures a smooth investment experience, reducing irrational redemptions and maintaining portfolio management continuity[54] 3. Return Realization Path - **Model Construction Idea**: The model emphasizes a diversified approach to achieve returns through bonds, equities, and commodities[57] - **Model Construction Process**: - **Bond Investments**: Focus on government bonds, supplemented by credit bonds[57] - **Equity Investments**: Core allocation to passive funds, with at least 50% of total equity exposure. The remaining allocation is split between individual stocks and active funds, with intra-day stop-loss and stop-gain mechanisms[57] - **Commodity Strategy**: Utilized as a supplementary return source[57] - **Model Evaluation**: The diversified approach ensures stable returns while mitigating risks through dynamic adjustments and sector/region rotation[57] --- Model Backtesting Results 1. "Core + Satellite" Dual-Layer Framework - **Annualized Return**: 5.16% (A-class), 5.84% (Y-class)[24][28][32] - **Annualized Volatility**: 1.68% (A-class), 1.90% (Y-class)[24][28][32] - **Sharpe Ratio (IR)**: 2.61 (A-class), 2.23 (Y-class)[24][28][32] - **Maximum Drawdown**: -0.88% (both A-class and Y-class)[24][28][32] - **Calmar Ratio**: 5.66 (A-class), 6.33 (Y-class)[24][28][32] 2. Peer Comparison - **Annualized Return (Median)**: 4.76% (peer group)[49] - **Annualized Volatility (Median)**: 4.22% (peer group)[49] - **Sharpe Ratio (Median)**: 0.82 (peer group)[49] - **Maximum Drawdown (Median)**: -3.17% (peer group)[49] - **Calmar Ratio (Median)**: 1.53 (peer group)[49] 3. Performance Rankings - **Sharpe Ratio Ranking**: Top 1.20% among peers[49] - **Maximum Drawdown Ranking**: Top 2.40% among peers[49] - **Calmar Ratio Ranking**: Top 2.20% among peers[49] 4. Additional Metrics - **3-Month Positive Return Probability**: 100% for both A-class and Y-class[33] - **Longest Non-New High Period**: 42 days (A-class), 39 days (Y-class)[40][43] --- Quantitative Factors and Construction Methods 1. Factor Name: Multi-Asset Allocation - **Factor Construction Idea**: Diversify across asset classes to reduce correlation and smooth portfolio volatility[53] - **Factor Construction Process**: - Allocate to low-correlation assets such as bonds, equities, and commodities[53] - Adjust allocations dynamically based on market conditions and risk assessments[54] - **Factor Evaluation**: The multi-asset allocation strategy effectively balances risk and return, ensuring stable performance across market cycles[53][54] --- Factor Backtesting Results 1. Multi-Asset Allocation Factor - **Annualized Return**: 5.16% (A-class), 5.84% (Y-class)[24][28][32] - **Annualized Volatility**: 1.68% (A-class), 1.90% (Y-class)[24][28][32] - **Sharpe Ratio (IR)**: 2.61 (A-class), 2.23 (Y-class)[24][28][32] - **Maximum Drawdown**: -0.88% (both A-class and Y-class)[24][28][32] - **Calmar Ratio**: 5.66 (A-class), 6.33 (Y-class)[24][28][32]