Core Viewpoint - The article discusses the dramatic fluctuations in the market throughout the year, highlighting the impact of AI advancements and government support for emerging industries on A-shares, followed by a shift towards defensive investment styles as investors took profits. The article emphasizes the growing popularity of multi-asset investment strategies, particularly FOF (Fund of Funds) products, in both the U.S. and China as a response to market uncertainties [1][4][9]. Market Performance - A-shares initially rebounded due to significant breakthroughs in AI and supportive government policies, with sectors like AI models and humanoid robots performing well. However, the market cooled down as investors began to take profits, leading to a resurgence in new consumption and innovative pharmaceuticals [1]. - Global asset performance in the first seven months of the year showed strong results for indices such as the Korean Composite Index (+35.63%), gold (+34.05%), and the Hang Seng Index (+25.51%), with the Hang Seng Technology Index also performing well (+22.89%) [2]. Investor Sentiment - Investors are experiencing a dilemma between the fear of missing out on a bull market and the anxiety of potential market downturns, leading to cautious and indecisive investment behaviors [2]. FOF Product Growth - In the U.S., FOF products have grown to a scale of $3.4 trillion by the end of 2024, with 1,317 funds available, becoming a mainstream investment method. This growth is attributed to the diversification benefits of FOFs, which reduce non-systematic risks by investing in various funds with different strategies [4][5][9]. - The development of FOFs in the U.S. began in 1985 with the launch of the first public FOF product, leading to significant growth in the 1990s as more pension plans entered the market [4][5]. Domestic FOF Market - The domestic FOF market has rapidly developed since the first public FOF was issued in 2017, overcoming initial challenges related to public awareness and acceptance. The market has matured, with increased recognition and a variety of underlying assets available for investment [9][11]. Investment Strategy - The article highlights the importance of multi-asset strategies in the current market environment, with products like Huazhong Yingrui demonstrating effective asset allocation across various categories, including A-shares, pure bonds, U.S. stocks, gold, and commodities [13][14]. - The management team behind Huazhong Yingrui employs a systematic asset management approach, focusing on strategic and tactical asset allocation to optimize risk-return profiles [16][17]. Performance Metrics - Huazhong Yingrui has shown promising performance, with a return of 5.59% since its inception on May 19, 2023, outperforming its benchmark and similar funds [11][13].

Group 1: Regulatory Impact and Strategic Direction - The revised "Securities Company Classification Evaluation Regulations" emphasizes differentiated development for small and medium-sized institutions, which aligns with the company's focus on wealth management 3.0 transformation [1] - The company aims to enhance its classification evaluation score through targeted strategies that align with the new regulatory guidelines [1] Group 2: Wealth Management 3.0 Transformation - Wealth management 3.0 focuses on a customer-centric approach, utilizing product innovation and financial technology to enhance service delivery [1] - The company is committed to building a comprehensive wealth management system that integrates human expertise and technology, improving customer service experiences [1] Group 3: Asset Management and Product Strategy - The company is integrating asset securitization into its investment banking line to refocus on client investment needs, developing a diverse product system including FOF and quasi-fixed income products [2] - The aim is to meet the diverse needs of clients through a well-rounded product offering [2] Group 4: New Marketing Service Model - A new marketing service model is being developed, combining research, investment, investment banking, and wealth management to provide comprehensive financial services [2] - The company has established a dedicated business system to enhance customer service and internal collaboration [2] Group 5: Research Business Development - The research department aims to achieve revenue of RMB 125 million in 2024, focusing on long-term and value investments while enhancing its market influence [2] - The strategy includes deepening internal collaboration and regional economic research to support local industries [2] Group 6: Investment in Financial Technology - The company invested RMB 236 million and RMB 241 million in information technology in 2023 and 2024, respectively, focusing on AI, big data, cloud computing, and blockchain [3] - The development of proprietary technologies, such as the "Kongming AI Assistant," aims to enhance operational efficiency and support differentiated business development [3]

Core Viewpoint - The Morgan Yingyuan Stable Three-Month Holding Mixed FOF was sold out in one day, indicating strong investor interest driven by a recovering equity market and effective sales capabilities of the custodian bank, China Merchants Bank [2][9]. Fund Issuance Highlights - The fund's fundraising period was originally set to end on August 22 but was closed early on August 4 due to high demand, with all valid subscription applications on that day confirmed [6]. - The fund employs a "fixed income plus" strategy, aiming for stable long-term returns by selecting high-quality bond funds and diversifying investments across various asset classes, including public REITs, gold, and QDII funds [6][12]. Market Context - Since the beginning of 2025, the A-share market has shown significant recovery, with overall equity fund issuance gradually improving. As of August 4, 810 new fund products were established, totaling 626.85 billion yuan in issuance [11]. - The popularity of FOF products has surged, with several funds achieving substantial fundraising success, such as the Dongfanghong Yingfeng Stable Six-Month Holding Mixed FOF, which raised 6.573 billion yuan [11]. Investment Strategy and Team - Morgan Asset Management's multi-asset investment team manages over 3 trillion yuan in client assets globally, focusing on guiding investors in establishing scientific asset allocation concepts [7]. - The firm emphasizes protecting investor interests by limiting the initial fundraising scale and prioritizing long-term holding experiences over short-term gains [9].

Core Viewpoint - The public FOF industry is accelerating towards a 2.0 era characterized by diversified, globalized, and tool-based asset allocation, with Penghua Fund leading the way through innovative strategies and product offerings [1][4]. Group 1: Industry Trends - The proportion of commodity funds in public FOFs increased from 20.16% to 49.40% from 2020 to 2024, while QDII equity funds rose from 25.81% to 65.93%, and QDII bond funds jumped from 4.03% to 32.06% [2]. - By the end of 2024, 8.27% of FOFs had allocated to REITs, indicating a growing interest in real estate assets [2]. - Passive funds are gaining importance, with stock index and bond index fund holdings increasing from 70.97% and 35.48% to 86.69% and 60.69%, respectively, and 90.73% of FOFs holding ETFs, significantly above the market average of 11.93% [2]. Group 2: Company Strategies - Penghua Fund emphasizes a customer-centric product design philosophy, creating a multi-tiered FOF product line that includes target date funds (TDF), target risk funds (TRF), and actively managed funds to meet diverse investor needs [3]. - The TDF products utilize a "glide path" strategy to gradually reduce equity exposure as the target date approaches, aligning with the changing risk tolerance of investors over their life cycles [3]. - Penghua is also exploring customized FOF/MOM services for high-net-worth and institutional clients, offering tailored solutions across various risk levels [3]. Group 3: Investment Philosophy - The investment philosophy of Penghua Fund combines a focus on domestic market opportunities with a global perspective, aiming to enhance portfolio diversity and stability [4]. - The research team prioritizes fundamental analysis of the A-share market while dynamically adjusting asset allocation based on macroeconomic cycles and industry trends [4]. - Penghua has developed a systematic FOF management framework that includes strategic and tactical asset allocation, risk management, and fund manager selection to support its diversified and global investment practices [4]. Group 4: Risk Management - Penghua Fund has established a comprehensive risk management system that integrates risk constraints during product design and employs quantitative models for real-time monitoring [5]. - The fund manager selection process utilizes a multi-factor fund database to ensure selected managers have sustainable alpha generation capabilities [5]. - The proprietary "Dynamic Beta Adjustment System" enhances tactical allocation efficiency and adaptability in extreme market conditions by quantifying risk exposure of passive tools like ETFs [5].

Group 1: Fund Management Changes - Bank of China Fund announced the resignation of Chairman Zhang Yan due to work adjustments, effective June 16, with Executive President Zhang Jiawen acting as interim chairman [1] - Xinyuan Fund appointed two new deputy general managers: Zhang Pengfei and Yang Xiaoyu, both of whom joined the company in December 2022 [2] - Wu Huijuan resigned from all managed products at Green Fund due to personal reasons, with her management tenure being less than four months [4] Group 2: Fundraising and Market Activity - Dongfanghong Yingfeng Stable 6-Month Holding FOF announced an early end to its fundraising on June 17, with a maximum fundraising scale of 8 billion RMB [3] - The stock market showed a slight recovery with the Shanghai Composite Index up 0.04% and the Shenzhen Component Index up 0.24%, with total trading volume at 1.19 trillion RMB, a decrease of 161 billion RMB from the previous trading day [5] Group 3: ETF Market Insights - Energy Chemical ETF led the market with a gain of 2.82%, while several 5G and communication-related ETFs also performed well [5][6] - The aerospace sector is highlighted as a key beneficiary due to increasing military expenditures globally, with Chinese military enterprises gaining recognition in international arms trade [8] Group 4: Upcoming Fund Launches - Huatai Baoxing plans to launch a new index fund focused on the STAR Market, managed by Shang Shuo Hui, with a performance benchmark linked to the STAR Market Composite Index [9]

Quantitative Models and Construction Methods Hidden Risk Model - **Model Name**: Hidden Risk Model - **Construction Idea**: Funds with high correlation in net asset value (NAV) trends are likely exposed to similar risks (explicit or hidden). By regressing fund factors weighted by correlation with similar funds, hidden risks can be stripped away [3][68][69] - **Construction Process**: 1. Identify funds with high NAV correlation over the past year (top N funds, N=20) [70] 2. Calculate weighted daily returns of similar funds based on correlation [70] 3. Perform time-series regression of the target fund's daily returns against the weighted returns of similar funds. The intercept term represents the adjusted alpha factor [70] - Formula: $$R_{p}=\alpha+\beta\cdot SimiRet+\varepsilon_{p}$$ [90] - **Evaluation**: Provides higher explanatory power for fund returns compared to traditional models like Fama-Five-Factor [3][86][90] Hidden Risk-Adjusted Comprehensive Selection Factor - **Factor Name**: Hidden Risk-Adjusted Comprehensive Selection Factor - **Construction Idea**: Combine factors improved by hidden risk adjustments (e.g., Sharpe ratio, hidden trading ability) with original factors that do not require adjustment (e.g., reverse investment ability) [115][118] - **Construction Process**: 1. Adjust factors like Sharpe ratio and hidden trading ability using hidden risk regression [94][101] 2. Combine adjusted factors with original factors using equal weighting [115] - **Evaluation**: Improves stability and predictive power of selection factors, with RankICIR increasing significantly [107][118] Sharpe Ratio Factor Adjustment - **Factor Name**: Hidden Risk-Adjusted Sharpe Ratio Factor - **Construction Idea**: Adjust the original Sharpe ratio factor by regressing it against the weighted Sharpe ratios of similar funds [94] - **Construction Process**: 1. Calculate weighted Sharpe ratios of similar funds based on correlation [94] 2. Perform cross-sectional regression of the original Sharpe ratio against the weighted Sharpe ratios [94] - Formula: $$Sharpe=\alpha+\beta\cdot SimiSharpe+\varepsilon$$ [94] - **Evaluation**: Stability significantly improved, with RankICIR increasing from 0.77 to 1.99 [96][98] Hidden Trading Ability Factor Adjustment - **Factor Name**: Hidden Risk-Adjusted Hidden Trading Ability Factor - **Construction Idea**: Adjust the original hidden trading ability factor by regressing it against the weighted hidden trading ability of similar funds [101] - **Construction Process**: 1. Calculate weighted hidden trading ability of similar funds based on correlation [101] 2. Perform cross-sectional regression of the original hidden trading ability against the weighted hidden trading ability [101] - **Evaluation**: Stability significantly improved, with RankICIR increasing from 1.68 to 2.23 [102][106] --- Model Backtesting Results Hidden Risk Model - **RankIC Mean**: 92.32% [86] - **RankICIR**: Not explicitly mentioned - **RankIC Win Rate**: Not explicitly mentioned Hidden Risk-Adjusted Comprehensive Selection Factor - **RankIC Mean**: 13.99% [118][121] - **RankICIR**: 3.18 [118][121] - **RankIC Win Rate**: 93.01% [118][121] - **Annualized Excess Information Ratio**: 2.4 [3] Sharpe Ratio Factor Adjustment - **RankIC Mean**: 7.70% [98] - **RankICIR**: 1.99 [98] - **RankIC Win Rate**: 87.41% [98] Hidden Trading Ability Factor Adjustment - **RankIC Mean**: 7.21% [102] - **RankICIR**: 2.23 [102] - **RankIC Win Rate**: 90.21% [102] --- Factor Backtesting Results Hidden Risk-Adjusted Comprehensive Selection Factor - **RankIC Mean**: 13.99% [118][121] - **RankICIR**: 3.18 [118][121] - **RankIC Win Rate**: 93.01% [118][121] - **Quarterly Excess Return (Top Decile)**: 1.46% [118][121] - **Quarterly Long-Short Return**: 2.74% [118][121] Sharpe Ratio Factor Adjustment - **RankIC Mean**: 7.70% [98] - **RankICIR**: 1.99 [98] - **RankIC Win Rate**: 87.41% [98] - **Quarterly Excess Return (Top Decile)**: 0.86% [98] - **Quarterly Long-Short Return**: Not explicitly mentioned Hidden Trading Ability Factor Adjustment - **RankIC Mean**: 7.21% [102] - **RankICIR**: 2.23 [102] - **RankIC Win Rate**: 90.21% [102] - **Quarterly Excess Return (Top Decile)**: 0.92% [102] - **Quarterly Long-Short Return**: Not explicitly mentioned --- FOF Portfolio Construction Results Hidden Risk-Adjusted Comprehensive Selection Factor-Based Portfolio - **Annualized Excess Return**: 8.86% [147] - **Annualized Tracking Error**: 3.52% [147] - **Excess Information Ratio**: 2.31 [147] - **Maximum Relative Drawdown**: 3.40% [147] - **Relative Return-to-Drawdown Ratio**: 2.61 [147] - **Monthly Win Rate**: 75.91% [147]

Group 1 - The FOF (Fund of Funds) market has seen a significant surge in new issuances this year, with a 166.67% increase in the number of new FOFs and a staggering 1346.12% increase in fundraising scale compared to the previous quarter, indicating growing investor recognition [1] - FOFs originated in the late 1980s in the United States and have played a crucial role in the U.S. pension system through their dual advantages of "fund selection + asset allocation" over the past 50 years [1] - In China, FOFs are still in the development stage but are gaining popularity among investors due to their convenience, reasonable asset allocation, and suitability for long-term, stable pension investment needs [1] Group 2 - By 2035, China is expected to enter a phase of severe aging, leading to an increasing demand for pension investments, with FOFs emerging as a preferred choice for investors due to their multiple advantages [1] - FOFs primarily invest in a basket of funds and utilize a large asset allocation strategy for diversification, allowing for dynamic adjustments based on market conditions to navigate complex and changing market environments [1] Group 3 - Since 2020, the FOF fund index has increased by 17.44%, outperforming the Wande Balanced Mixed Fund Index and the CSI 300 Index, while maintaining a lower annualized volatility of 7.31% compared to the same indices, demonstrating a strong ability to balance returns and risks [2] - The Minsheng Jianyin's Kangning Stable Pension Target One-Year Holding Period FOF is designed for investors with pension needs or those seeking long-term stable investments, with over 80% of its assets invested in funds and a maximum equity asset allocation of 30% [2] - This fund employs a target risk strategy to optimize the investment process, limiting expected volatility and downside risk, which has resulted in a notable performance, ranking 8th among 77 similar funds in terms of net asset value growth rate over the past year [2]

Key Insights - The report highlights a significant increase in China's inverter exports in April 2025, with an export value of 5.82 billion, representing a month-on-month growth of 28.0% and a quantity of 4.5292 million units, up 21.4% from the previous month [3] - The average export price of inverters rose to 1,284 yuan per unit, marking a month-on-month increase of 5.5% [3] - The demand growth is attributed to the onset of the summer peak season for household storage and accelerated overseas large-scale storage construction [3] - The report emphasizes the long-term drivers of demand, including power outages, rising electricity prices, and significant growth in wind and solar installations, indicating a shift in inverter demand towards emerging markets [3] - The report recommends companies such as Deye Technology, Sungrow Power Supply, and Sunshine Power for their potential in the inverter market [3] Industry Overview - The macroeconomic context suggests that the Chinese yuan may have upward momentum against the US dollar, driven by structural rebalancing in global asset allocation and diminishing depreciation expectations for the yuan [2] - The report notes that the US has adjusted tariffs on imports, which has implications for global trade dynamics and may affect the competitiveness of Chinese exports [2] - The report also discusses the ongoing trends in the logistics and e-commerce sectors, highlighting a continued focus on price competition and volume growth in the express delivery market, with a year-on-year increase in express delivery volume of 19.1% in April [7] - In the consumer electronics sector, the report indicates strong sales growth for robotic vacuum cleaners and floor washers, driven by promotional activities and consumer demand, with sales volume for robotic vacuum cleaners increasing by 74.49% year-on-year in April [8]

Group 1 - The market is unpredictable, with fluctuations in gold prices and stock indices, indicating a shift in investment dynamics [1] - Current gold prices are approximately $3100+ per ounce, while the stock index is around $3300+, leading to speculation about future price adjustments [1] - Institutional investors are considered "smart money," and their holdings in funds are a key metric for selection [2] Group 2 - A total of 34 actively managed equity funds were filtered based on criteria such as size (between 500 million to 5 billion), performance (over 20% in the last three years and over 5% this year), and institutional ownership (over 60%) [2] - The list of selected funds includes various performance metrics, with some funds showing significant returns over the past year and three years [3][4] Group 3 - The analysis includes a focus on industry-specific funds, with a notable presence of sectors like electronics, pharmaceuticals, finance, and internet [5] - Fund managers with a longer management tenure are preferred, as they provide stability and consistent performance [6] - Attention is drawn to funds with high single investor ownership, as this can indicate potential risks related to liquidity and fund management [7]

Core Viewpoint - The FOF (Fund of Funds) portfolios reveal a preference for low-cost, clearly defined index funds and strong-performing active equity funds, indicating a trend in investment strategies among FOFs [1] Group 1: FOF Holdings Overview - As of the end of 2024, there are 1,257 active equity funds held by FOFs, with 121 funds having holdings exceeding 50 million shares [1] - In terms of market value, 100 funds have a holding value exceeding 100 million yuan [1] - Large fund companies with comprehensive product offerings, such as GF Fund, have multiple funds in FOF portfolios, indicating recognition of their active stock investment capabilities [1] Group 2: GF Fund Performance - GF Fund has five funds that meet both the criteria of FOF holdings exceeding 50 million shares and a market value exceeding 100 million yuan [2] - The top fund, GF Industry Leading A, has the highest FOF holdings and market value, with 180 million shares held by 15 FOFs, totaling a market value of 310 million yuan [2] - The fund manager, Cheng Kun, has achieved a return of 51.49% since taking over the fund on May 31, 2019, with a benchmark outperformance of 38.59% [2] Group 3: Investment Style of Cheng Kun - Cheng Kun is characterized as a classic value investor, focusing on undervalued assets with a long-term perspective [3] - His investment strategy includes a high stock position, typically maintaining over 90%, with a balanced industry allocation across various sectors [3] - As of the end of 2024, nine of his top holdings have been held for at least four quarters, with four held for over two and a half years, reflecting a preference for long-term investments [3]