Group 1 - The core viewpoint is that the long-term development space of China's equity market is expanding, driven by AI empowerment in finance and an upgrade in residents' wealth management needs [1][2] - There is a significant gap in asset allocation, with Chinese residents' investment in the stock market being relatively low compared to mature financial markets, indicating potential for growth [2][3] - As the Chinese capital market matures, the shift of residents' asset allocation towards equity markets is an inevitable trend, supported by improvements in market mechanisms and investor protection [2][3] Group 2 - The logic of returns is being restructured, with a focus on fundamental quantification to highlight long-term value, as traditional sources of excess returns are diminishing [3][4] - The company emphasizes a long-term investment strategy anchored in fundamental analysis, avoiding high-risk short-term speculation to create stable returns for clients [3][4] - The investment strategy incorporates a differentiated research system using deductive and inductive methods, enhanced by AI technology to improve data processing and investment efficiency [4] Group 3 - The company maintains an optimistic outlook on the long-term development of China's equity market, recognizing that the structural adjustment of residents' asset allocation will be gradual but is already underway [5] - The fundamental quantification strategy is positioned to help investors benefit from the growth of the capital market by focusing on core enterprise values amidst market fluctuations [5] - The company aims to accompany clients through market cycles, leveraging professional capabilities to seize investment opportunities during the asset transfer wave [5]

Industry Overview - The Chinese quantitative investment industry has entered a "differentiation era after reaching a trillion scale," with the management scale of quantitative private equity expected to exceed 1 trillion yuan by 2025, accounting for 5% of the A-share professional institutional capital scale and maintaining a trading volume share of 20% [1] - The industry is undergoing profound structural changes, with an increasing Matthew effect where leading institutions continue to gain a larger share of management scale, accelerating the survival of the fittest and leading to the exit of less competitive firms [1] - There is a consensus that the market is shifting from a "scale competition" to a "quality competition," driven by the increasing proportion of long-term funds such as insurance and pension funds, which reshape the industry ecology with a focus on return stability and strategy explainability [1] Company Focus - Xiyue Investment has focused on fundamental quantitative strategies since its establishment in 2014, emphasizing long-term intrinsic value realization rather than short-term volatility [2] - The firm’s founder, Dr. Zhou Xin, has over ten years of experience in top international quantitative institutions, leading the team to adopt a seemingly "slow" but more solid path in fundamental quantitative investment [2] Competitive Advantage - Xiyue Investment integrates deep academic research with rich market experience, forming a unique competitive edge by connecting academia with investment practice [3] - The core team consists of highly educated professionals, with all five founders holding PhDs or teaching at top universities, ensuring a strong theoretical foundation for strategy development [3] - The firm employs a combination of deductive and inductive research logic, focusing on establishing long-term investment logic through in-depth research before developing strategy frameworks [3] Ecosystem Development - Xiyue Investment has sponsored the China International Conference on Finance (CICF) for ten consecutive years and established the "Xiyue Best Paper Award" to support academic research and maintain interaction with financial academia [4] - The firm has built a comprehensive compliance and risk management system, obtaining necessary licenses and registrations to align its operations with international standards [4] Long-term Strategy - The increasing role of long-term capital in the market has raised demands for strategy stability, transparency, and long-term performance from managers, aligning well with Xiyue Investment's fundamental quantitative strategy [5] - The firm’s client base includes domestic insurance asset management, bank wealth management subsidiaries, and international institutions such as North American pension funds and sovereign wealth funds, which have stringent selection criteria [5] - Xiyue Investment aims to provide stable risk-adjusted returns to meet the asset allocation needs of its partners, continuously refining its research and risk management capabilities [5] Knowledge Sharing and Sustainability - The firm shares its investment philosophy and practices through various channels, including the "Quantitative Zhou Dong" video series, and is a signatory of the United Nations Principles for Responsible Investment (UNPRI), incorporating sustainability considerations into its investment process [6] Conclusion - The continuous development of the quantitative investment industry requires participants to solidify their foundations and clarify their long-term positioning, as demonstrated by Xiyue Investment's focus on fundamental quantitative research and its integration of academic rigor with practical experience [7] - Looking ahead, the firm is poised to explore new opportunities and challenges in the evolving market and AI technology landscape, maintaining its commitment to long-term value and industry responsibility [7]

Group 1 - The CSI 300 Index consists of 300 representative securities from the Shanghai and Shenzhen markets, reflecting the overall performance of large-cap stocks and benefiting from China's steady economic growth and continuous industrial optimization [1][5][60] - As of December 31, 2025, the average market capitalization of CSI 300 constituents reached 225.49 billion, significantly higher than that of the CSI 500 and other indices, indicating a strong leader effect [7][60] - The top ten weighted stocks account for a total of 23.08% of the index, with an average total market capitalization of 942.8 billion, showcasing competitive leading enterprises across various sectors [10][60] Group 2 - The CSI 300 Index is the preferred choice for broad-based allocation, with its fund size reaching nearly 1.2 trillion, accounting for almost 50% of all broad-based index funds [12][61] - From 2015 to 2025, the index's industry structure underwent significant transformation, with traditional finance and real estate weights declining, while emerging industries like electronics and new energy surged [15][61] - The concentration of the top three industries decreased from 40.24% to 35.85%, reflecting a shift from real estate and finance-driven growth to technology and innovation-driven growth [15][61] Group 3 - The CSI 300 Index shows strong growth potential, with projected EPS growth rates of 3.76% for 2024, 5.43% for 2025, and 11.46% for 2026, alongside net profit growth rates of 2.78%, 9.67%, and 9.40% respectively [17][60] - The index's profitability has been steadily increasing, indicating robust growth capabilities [17][60] Group 4 - The Huian CSI 300 Index Enhanced A fund, managed by Liu Yucai since September 27, 2023, employs an innovative fundamental quantitative investment approach, aiming for long-term value enhancement while controlling tracking error [20][61] - Since the strategy adjustment to "tight constraints, low deviation" at the end of 2024, the fund achieved a cumulative excess return of 7.23% in 2025, ranking first among peers [39][62] - The fund maintained a high stock position between 90%-95% since 2025, demonstrating a commitment to active management [44][62] Group 5 - The fund's stock turnover rate is significantly lower than the average of its peers, indicating strong stock selection capabilities, with average quarterly returns of 0.66% in 2025 [63][62] - The fund's performance in 2025 included a relative maximum drawdown of only -0.57%, ranking second among peers, and an annualized tracking error of 1.28% [41][62]

证券研究报告 | 2026年01月24日 金融工程专题研究 汇安沪深 300 指数增强基金投资价值分析 沪深 300 指数由沪深市场中规模大、流动性好的具有代表性的 300 只证 券组成，汇聚了 A 股市场的核心资产，其长期表现受益于中国经济的稳 健增长与产业结构的持续优化升级。 成分股市值较大，龙头效应显著。截至 2025 年 12 月 31 日，沪深 300 指数成分股的平均市值达 2254.88 亿元，显著高于中证 500、科创 50 指数、创业板指等。前十大权重股占比合计为 23.08%，成分股权重较 为分散，平均总市值为 9428 亿元，均为各领域具有竞争力的龙头企业。 盈利持续增长，成长能力较强。指数 2024 年 EPS 增速为 3.76%，预计 2025 年增速为 5.43%，2026 年增速 11.46%；2024 年归母净利润增速 为 2.78%，预计 2025 年增速为 9.67%，2026 年增速 9.40%。 沪深 300 为宽基配置首选，指数产业结构持续优化升级。截至 2025 年 12 月 31 日，沪深 300 指数基金合计规模高达近 1.2 万亿元，占全部宽 基指数基金的比重 ...

Core Viewpoint - The article highlights the unique positioning and investment philosophy of Xiyue Investment, a private equity firm that has successfully navigated the evolving landscape of quantitative investing over the past decade, emphasizing a focus on fundamental quantitative strategies rather than high-frequency trading. Group 1: Investment Philosophy - Xiyue Investment adopts a "slow" approach to quantitative investing, focusing on fundamental analysis and systematic research to identify mispriced assets, which leads to more stable returns and lower market drawdowns [3][4]. - The core of fundamental quantitative investing is to discover discrepancies between price and value, allowing for profit during valuation corrections, which requires deep research and logical consistency [3][4]. Group 2: Client Structure - The firm has developed a client base primarily composed of institutional investors, which aligns with its long-term investment logic and stability, enhancing its standards in strategy design, risk control, and compliance management [5]. - Institutional clients prioritize the explainability and stability of strategies over short-term gains, which resonates with Xiyue's fundamental quantitative approach [5]. Group 3: Academic Foundation - Xiyue's founders possess strong academic backgrounds, with doctoral degrees from prestigious institutions, which provides a solid foundation for developing executable investment models [6]. - The firm has maintained a commitment to academic engagement, sponsoring financial conferences to integrate cutting-edge research into its investment strategies [6]. Group 4: Competitive Strategy - Xiyue emphasizes healthy, sustainable competition, avoiding the pitfalls of ineffective competition in the quantitative investment industry, and has steadily developed since its founding in 2014 [7][8]. - The firm is expanding its office space and brand presence, reflecting its growth and commitment to a collaborative future while maintaining a focus on long-term value creation [8]. Group 5: Leadership and Knowledge Sharing - The chairman, Dr. Zhou Xin, has extensive experience in investment research and has contributed to knowledge dissemination through his video channel, discussing fundamental investment concepts and methodologies [9]. - Xiyue continues to explore historical, economic, and market patterns, integrating technology into its decision-making while adhering to proven investment wisdom [9].

1. Report Industry Investment Rating - Not provided in the given content 2. Core Views of the Report - Dun Xinyu, a fund manager at China - Europe Fund, uses fundamental quantitative methods for the "plus" part of the "fixed - income +" investment framework, with strategies such as dividend, value, quality, growth, and micro - cap, and has a macro - based asset allocation framework [6][7] - China - Europe Dingli is a medium - to - high - volatility secondary bond fund with a quantitative boom - growth strategy, showing high - return and high - risk characteristics, and investors' profit - making effect increases with the holding time [8][26] - China - Europe Enhanced Return is a low - volatility absolute - return product, emphasizing safety margins in equity assets, and also showing that investors' profit - making effect increases with the holding time [38][41] 3. Summary by Directory 3.1. China - Europe Fund Dun Xinyu: A Practitioner of Fundamental Quantitative Fixed - Income + - Dun Xinyu has rich experience in the fund industry and currently manages 8768 million yuan in assets at China - Europe Fund, covering first - tier bond funds, second - tier bond funds, and flexible allocation funds [4][5] - His investment framework for the "plus" part of "fixed - income +" uses fundamental quantitative methods, and there is also a macro - based asset allocation framework [6][7] 3.2. China - Europe Dingli: A Medium - to - High - Volatility Secondary Bond Fund with a Boom - Growth Strategy - It is positioned as a medium - to - high - volatility secondary bond fund, using a quantitative boom - growth strategy with three nested layers, aiming to earn returns from the boom [8] - The judgment of a company's boom is based on three dimensions of financial statements: financial health, profit sustainability, and growth momentum [10] - Compared with other quantitative styles, the growth style has higher volatility but also higher long - term returns, and in 2025, it has significantly outperformed other style factors [24] - In 2025, it has achieved a high return of 11.41% and an annualized volatility of 8.44%, with a superior Sharpe ratio. The profit - making effect for investors increases with the holding time [26][27] - Its stock position is 16.29% and convertible bond position is 13.14%, with an industry allocation inclined to growth sectors such as electronics, machinery, and power equipment [31] 3.3. China - Europe Enhanced Return: A Low - Volatility Absolute - Return Product - It is positioned as a low - volatility absolute - return product, aiming to create absolute returns with a 2% drawdown target [38] - It emphasizes safety margins in equity assets, using valuation as a means to measure safety margins [39] - In 2025, it has achieved a cumulative return of 3.53% with an annualized volatility of 2.26%, and multiple core indicators rank among the top in the industry [39][40] - The profit - making effect for investors also increases with the holding time [41]

1. Report Industry Investment Rating There is no information about the industry investment rating in the report. 2. Core Viewpoints of the Report - Deng Xinyu, a fund manager at China - Europe Fund, uses fundamental quantitative methods for the "plus" part of the "fixed - income +" investment framework, with multiple strategies such as dividend, value, quality, growth, and micro - cap strategies, and a macro - based asset allocation framework [3][9]. - China - Europe Dingli is a medium - to - high - volatility secondary bond fund with a quantitative boom - growth strategy. It emphasizes the company's financial health, profit sustainability, and growth momentum, and shows high return - risk performance and increasing investor profitability over time [12][14][32]. - China - Europe Enhanced Return is a low - volatility absolute - return product aiming for an absolute return within a 2% drawdown target. It emphasizes the safety margin of equity assets through valuation and has excellent performance in multiple core indicators [44][45][46]. 3. Summary by Relevant Catalogs 3.1. China - Europe Fund Deng Xinyu: A Practitioner of Fundamental Quantitative Fixed - Income + - Personal resume: Deng Xinyu joined China - Europe Fund in October 2023. He currently serves as a member of the fixed - income investment decision - making committee, the head of the hybrid asset group, and a fund manager. He manages multiple funds including China - Europe Dingli and China - Europe Enhanced Return [7]. - Investment framework: The "plus" part of the "fixed - income +" uses fundamental quantitative methods, with multiple strategies based on fundamental analysis and a macro - based asset allocation framework [9][11]. - Managed products: He manages products worth 8.768 billion yuan, covering first - tier and second - tier bond funds and flexible - allocation funds, achieving over 7% and 2% returns for China - Europe Dingli and China - Europe Enhanced Return respectively [8]. 3.2. China - Europe Dingli: A Medium - to - High - Volatility Secondary Bond Fund with a Boom - Growth Strategy - Product positioning: It is a medium - to - high - volatility secondary bond fund using a quantitative boom - growth strategy with three nested layers [12]. - Boom judgment: It uses financial statements to assess a company's financial health, profit sustainability, and growth momentum [14]. - Comparison with other products: It is comparable to Smart Beta products. Growth - style products have high volatility and high long - term returns, and China - Europe Dingli's equity return in 2025 has exceeded the growth index [19][30]. - Product characteristics: It has high return - risk performance, with a 2025 - to - date return of 11.41% (in the 10.16% percentile) and an annualized volatility of 8.44% (in the 8.59% percentile). Investor profitability increases with holding time [32][33]. - Portfolio: It has a stock position of 16.29% and a convertible bond position of 13.14%, with a focus on growth - oriented industries such as electronics, machinery, and power equipment [37]. 3.3. China - Europe Enhanced Return: A Low - Volatility Absolute - Return Product - Product positioning: It aims to create an absolute return within a 2% drawdown target, emphasizing the safety margin of equity assets through valuation [44][45]. - Performance: In 2025, it achieved a cumulative return of 3.53% with an annualized volatility of 2.26%, ranking in the 14.21% and 16.50% percentiles among first - tier bond funds with equity. Multiple core indicators rank high in the industry [45][46]. - Investor profitability: Investor profitability increases with holding time, with average returns of 0.49%, 1.08%, and 1.54% for 1 - month, 2 - month, and 3 - month holding periods respectively, and a 100% winning rate for 2 - and 3 - month holding periods [47].

Core Viewpoint - The essence of investment is a combination of "science" and "art," where quantitative analysis handles objective market rules, while active management addresses the qualitative aspects that cannot be quantified [2][5]. Investment Philosophy - The focus of investment should be on achieving absolute returns rather than outperforming benchmarks, emphasizing the importance of making profitable trades [2][8]. - The "three-price scoring system" (buy price, extreme bottom price, sell price) is designed to control 60%-70% of market volatility, ensuring absolute returns while managing risks [3][9]. Investment Strategy - The investment approach includes dynamic adjustments based on quarterly earnings reports, allowing for long-term holding of growth stocks and strategic buying/selling of cyclical stocks [3][11]. - The system encourages disciplined behavior among fund managers, helping to mitigate irrational actions during market fluctuations [3][17]. Quantitative and Active Management Integration - The integration of quantitative models with fundamental analysis allows for a comprehensive investment strategy that captures market trends while maintaining a focus on fundamental value [6][18]. - The collaboration between quantitative and fundamental teams results in a robust modeling process that enhances investment decision-making [11][19]. Market Outlook - The current market environment is characterized by high volatility, necessitating a focus on pricing principles to achieve absolute returns [9][23]. - The expectation is for a stabilization in the market, supported by improved fundamentals, particularly in capital expenditure and export sectors [24][23]. Team Management and Culture - The management philosophy emphasizes rule-based guidance and collaboration among team members to enhance investment outcomes [26][28]. - The focus on absolute returns in performance evaluation encourages a culture of accountability and continuous improvement within the investment team [26][30].

Group 1 - The article presents a series of quantitative research reports focused on AI and machine learning applications in investment strategies, highlighting the potential for enhanced trading and stock selection methods [2][3] - The reports cover various topics, including deep learning strategies for index futures, alpha factor mining, and risk-neutral stock selection strategies, indicating a comprehensive approach to leveraging AI in finance [2] - The basic quantitative series emphasizes long-term stock selection strategies, identifying growth companies, and financial metrics for stock selection, showcasing a multi-faceted view of investment opportunities [3] Group 2 - The research emphasizes the importance of integrating advanced technologies like neural networks and reinforcement learning in financial analysis and decision-making processes [3][6] - The reports aim to provide insights into market trends and investment strategies, potentially aiding investors in navigating complex financial landscapes [2][3] - The focus on risk monitoring systems, particularly in convertible bonds, highlights the need for robust risk management frameworks in investment practices [6]

Group 1: Fixed Income Strategies - The strategy for credit bonds and sci-tech bonds ETFs focuses on four main considerations: cash retention versus bond allocation, seeking flexibility versus static returns, duration versus credit risk for yield, and the duration structure of holdings being either barbell or bullet [4] - Historical review indicates that cash retention is typically a short-term phenomenon during periods of weak market conditions, and the likelihood of holding cash is low [4] - In the current low interest rate and low spread environment, actively seeking static returns through credit bond ETFs is not cost-effective, and these ETFs tend to extend duration to seek flexibility when interest rates stabilize or decline [4][5] Group 2: Credit Bond ETF Preferences - Given the current market environment, the preference for sci-tech bond ETFs may align with that of credit bond ETFs during correction periods, focusing on high flexibility and high ratings while favoring a barbell strategy with increased allocation to long-duration bonds [5] - The credit dimension shows that during volatile periods, credit bond ETFs have increased their allocation to high-rated bonds, and this trend is expected to continue for sci-tech bond ETFs, maintaining a dominant position in AAA-rated and above securities [5] Group 3: Selection Strategies for Sci-Tech Bonds - The selection strategy for sci-tech bonds during expansion expectations is based on the excess spread between component bonds and non-component bonds, with a narrowing spread observed as of August 29 [6] - There is an anticipated increase in demand for perpetual (non-subordinated) sci-tech bonds due to expansion expectations, with three of the first ten sci-tech bond ETFs including such bonds [6] - The issuance space for new sci-tech bonds has increased, with an average weekly issuance of 427 billion since July, indicating a growing opportunity for new issuances [6] Group 4: Market Trends in Consumer Goods - The food and beverage sector is expected to show performance advantages in growth, with a stable revenue scale and a deceleration in profit growth, particularly in the beverage and snack segments [15] - The overall performance of the food and beverage sector in Q2 2025 showed a slight increase in revenue and a decrease in net profit, with specific segments like soft drinks and snacks experiencing significant growth [16][17] - The high-end and sub-high-end liquor segments are facing pressure on demand, leading to a notable divergence in performance among brands, with top brands maintaining stability while others struggle [16]