（原标题：理财权益布局分化：民生加码量化增强，华夏深耕公募REITs） 近期，权益类公募产品迎来扩容。8月19日，民生理财"金竹量化增强半年持有期1号"起始募集。8月22 日，华夏理财新发跟踪公募REITs指数的"天工日开12号"。两款产品均于8月25日今日结束募集。除这两 款产品外，理财公司目前共存续40只权益类公募产品。 从投资策略来看，民生理财的"金竹量化增强半年持有期1号"抓住了今年来大火的量化指增策略，产品 以中证500指数为业绩基准，在控制行业、风格偏离的基础上，通过量化挖掘有效因子，选出一揽子股 票构建组合，在严格控制跟踪误差的前提下，力争获取超越基准指数的收益。 "展望后市，指数下行风险不大，长期来看市场或能持续贡献正向β。同时，政策呵护下的市场交易活跃 度预期不减，量化行业整体的制度监管与风控管理日益完善，也让我们对α收益的持续性保持乐观。"民 生理财在8月21日发布的公众号文章中表示。 华夏理财新发产品"天工日开12号"跟踪的是中诚信指数和华夏理财共同编制的"中诚信-华夏理财公募 REITs精选指数"。该指数在市场上满足一定上市时间和流动性要求的REITs中，根据多个维度，挑选不 少于20 ...

Group 1 - In July, the A-share market experienced a significant recovery, leading to a surge in private fund registrations, with 1,298 funds registered, marking an 18% month-on-month increase and setting a new record since 2025 [1] - The increase in private fund registrations is attributed to three main factors: the strong performance of the A-share market boosting investor confidence, the excellent performance of quantitative strategy products attracting substantial capital inflow, and the improved supply from leading institutions enhancing overall competitiveness in the private fund industry [1] - Equity strategy funds dominated the registration landscape, accounting for nearly 70% of total registrations, with 887 equity strategy funds registered, reflecting a 24.58% month-on-month growth [1] Group 2 - The multi-asset strategy is gaining traction, with 162 funds registered in July, representing 12.48% of total registrations and a 5.88% month-on-month increase, indicating a growing demand for diversified investment [2] - The futures and derivatives strategy also showed steady growth, with 125 funds registered, accounting for 9.63% of total registrations, reflecting a slight 1.63% month-on-month increase [2] - The number of registrations for bond and combination fund strategies remained relatively low, suggesting an increase in investor risk appetite amid the market recovery [2] Group 3 - The leading private fund institutions in terms of registration volume are those with assets exceeding 100 billion, with 48 such institutions registering a total of 198 funds in July [2] - Among the 676 private institutions that completed registrations, 12 out of 13 institutions with at least 10 registered funds were 100 billion-level private institutions, highlighting their dominance in the market [2] - Quantitative private fund institutions, such as Inno (Shanghai) Asset Management Co., Ltd., registered 7 funds in July, emphasizing the importance of adaptability and risk control in a complex market environment [3]

Group 1 - The core viewpoint of the article highlights the strong performance of the Hongde Hongxin Mixed Fund, which achieved a net value growth rate of 6.58% in Q2 2025, significantly outperforming the benchmark return of 1.06% during the same period [1] - Since its establishment on June 1, 2016, the fund has accumulated a net value growth rate of 101.19%, compared to a benchmark return of 35.61% [1] Group 2 - In Q2 of this year, market styles shifted again, with major indices quickly recovering from declines, driven by a strong performance in large-cap value stocks, while sectors like innovative pharmaceuticals, new consumption, and micro-cap stocks saw significant gains [3] - The fund manager, Li Ziang, noted that despite the impact of "reciprocal tariffs" on exports and a cooling real estate market, government subsidies have significantly boosted consumption, and a robust manufacturing system remains the foundation for economic stability [3] - There are ongoing discussions about the crowded nature of small-cap stocks and the potential for a significant style shift in the future, influenced by geopolitical uncertainties and tariff negotiations by the Trump administration [3] - The company has implemented effective constraints on its risk model to reduce style exposure while iterating the model to adapt to market style changes, resulting in a robust performance of its AI quantitative strategy in Q2 [3]

Quantitative Models and Construction Methods - **Model Name**: Index Enhancement Strategy (80% Component Constraint) **Model Construction Idea**: The model aims to replicate the performance of typical index enhancement products by adjusting the distribution of components across different market capitalization domains[4][33][34] **Model Construction Process**: 1. The model constrains the component weight to 80% while adjusting the allocation in micro-cap stocks. 2. Specific constraints include: - Industry exposure: 0.1% - Weight cap for CSI 2000 components: 0.2% - Weight cap for micro-cap stocks: 0.1% - Monthly rebalancing frequency 3. Performance metrics such as excess return, tracking error, IR, and maximum drawdown are calculated for different micro-cap allocations (0%, 5%, 10%)[34][35] **Model Evaluation**: The model demonstrates that higher micro-cap allocations can enhance excess returns, albeit with slightly increased tracking error and drawdown[35] - **Model Name**: Index Enhancement Strategy (Relaxed Component Constraint) **Model Construction Idea**: This model explores the impact of relaxing the component weight constraint to 40% while varying micro-cap allocations and market capitalization exposures[33][39] **Model Construction Process**: 1. The component weight constraint is relaxed to 40%, and micro-cap allocations are adjusted (0%, 10%, 20%). 2. Additional constraints include: - Industry exposure: 0.1% - Weight cap for CSI 2000 components: 0.2% - Weight cap for micro-cap stocks: 0.1% - Monthly rebalancing frequency 3. Performance metrics such as excess return, tracking error, IR, and maximum drawdown are calculated for different scenarios[39][40] **Model Evaluation**: Relaxing the component constraint significantly improves excess returns, especially with higher micro-cap allocations, though it introduces higher tracking error and drawdown risks[40] Model Backtesting Results - **Index Enhancement Strategy (80% Component Constraint)**: - CSI 300 (0% micro-cap): Excess Return: 7.97%, Tracking Error: 3.34%, IR: 5.38, Max Drawdown: -1.16% - CSI 300 (5% micro-cap): Excess Return: 8.52%, Tracking Error: 3.45%, IR: 5.58, Max Drawdown: -1.19% - CSI 300 (10% micro-cap): Excess Return: 8.70%, Tracking Error: 3.57%, IR: 5.51, Max Drawdown: -1.33% - CSI 500 (0% micro-cap): Excess Return: 7.55%, Tracking Error: 3.87%, IR: 4.38, Max Drawdown: -1.52% - CSI 500 (5% micro-cap): Excess Return: 8.23%, Tracking Error: 3.88%, IR: 4.78, Max Drawdown: -1.38% - CSI 500 (10% micro-cap): Excess Return: 9.20%, Tracking Error: 3.98%, IR: 5.24, Max Drawdown: -1.39% - CSI 1000 (0% micro-cap): Excess Return: 10.12%, Tracking Error: 4.28%, IR: 5.40, Max Drawdown: -1.50% - CSI 1000 (5% micro-cap): Excess Return: 9.76%, Tracking Error: 4.31%, IR: 5.16, Max Drawdown: -1.69% - CSI 1000 (10% micro-cap): Excess Return: 9.76%, Tracking Error: 4.31%, IR: 5.16, Max Drawdown: -1.69%[35] - **Index Enhancement Strategy (Relaxed Component Constraint)**: - CSI 300 (0% micro-cap): Excess Return: 10.87%, Tracking Error: 4.35%, IR: 5.73, Max Drawdown: -1.29% - CSI 300 (10% micro-cap): Excess Return: 13.96%, Tracking Error: 7.01%, IR: 4.64, Max Drawdown: -3.02% - CSI 500 (0% micro-cap): Excess Return: 10.25%, Tracking Error: 6.65%, IR: 3.52, Max Drawdown: -2.19% - CSI 500 (20% micro-cap): Excess Return: 17.08%, Tracking Error: 7.98%, IR: 5.07, Max Drawdown: -2.43% - CSI 1000 (0% micro-cap): Excess Return: 10.84%, Tracking Error: 6.24%, IR: 3.98, Max Drawdown: -1.54% - CSI 1000 (20% micro-cap): Excess Return: 16.81%, Tracking Error: 7.38%, IR: 5.38, Max Drawdown: -2.04%[40] Quantitative Factors and Construction Methods - **Factor Name**: Market Capitalization (Size) **Factor Construction Idea**: Market capitalization is used as a linear factor to segment stocks into deciles, with smaller-cap stocks expected to deliver higher excess returns[19][22] **Factor Construction Process**: 1. Divide the market into 10 deciles based on market capitalization. 2. Calculate the excess return for each decile. 3. Analyze the trend of excess returns across deciles[22] **Factor Evaluation**: The smallest decile (G01) delivers the highest excess return (22.4%), while returns decrease progressively with increasing market capitalization[22] - **Factor Name**: Mid-Cap (Nonlinear Size) **Factor Construction Idea**: Mid-cap is modeled as a cubic function to capture the performance of stocks outside the large-cap and small-cap domains[2][25] **Factor Construction Process**: 1. Define mid-cap stocks using a cubic function of market capitalization. 2. Analyze the overlap between mid-cap and market capitalization groups. 3. Evaluate the excess return of mid-cap groups[25][26] **Factor Evaluation**: Mid-cap stocks exhibit significant overlap with small-cap stocks, and the smallest mid-cap group (G01) delivers high excess returns (21.6%)[22][25] Factor Backtesting Results - **Market Capitalization (Size)**: - G01: 22.4%, G02: 15.0%, G03: 22.6%, G04: 20.4%, G05: 13.6%, G06: 13.2%, G07: 10.9%, G08: 6.9%, G09: 3.9%, G10: -5.6%[22] - **Mid-Cap (Nonlinear Size)**: - G01: 21.6%, G02: 13.7%, G03: -0.5%, G04: 0.0%, G05: 1.5%, G06: 0.8%, G07: 0.5%, G08: -2.1%, G09: -0.2%, G10: -2.7%[22]

Core Insights - The index-enhanced private equity products delivered impressive performance in the first half of 2025, with an average return of 17.32% across 705 products [1] - Larger private equity firms (over 5 billion) showed a significant advantage, achieving an average return of 18.30% [1] - Smaller private equity firms (0-10 billion) underperformed, with an average return of 16.41% [1] Performance Factors - The strong performance of index-enhanced private equity products is attributed to three main factors: the structural characteristics of the A-share market, the advantages of quantitative strategies, and the relaxation of regulatory policies on mergers and acquisitions [2] - The A-share market exhibited a notable small-cap style dominance, with increased individual stock volatility and high average daily trading volume, creating an ideal trading environment for quantitative strategies [2] - Quantitative strategies effectively captured excess returns, especially in volatile markets, due to their data-driven decision-making and ability to avoid subjective emotional interference [2] Product Performance Breakdown - Among the products with performance data, 76 other index-enhanced products and 258 air index-enhanced products achieved average returns of 20.84% and 17.88%, respectively [3] - The small-cap style's strong performance laid a solid foundation for related index-enhanced products, with the CSI 1000 index-enhanced products averaging a return of 20.26% and the CSI 500 index-enhanced products averaging 15.31% [3] - In contrast, the CSI 300 index-enhanced products lagged, with an average return of only 6.31%, reflecting the overall weak performance of the CSI 300 index [3]

Core Insights - The performance of index-enhanced private equity products was outstanding in the first half of 2025, with an average return of 17.32% and an average excess return of 14.17% across 705 products, indicating that nearly all products outperformed their benchmark indices [1][2]. Group 1: Performance by Scale - Large-scale private equity (over 5 billion) showed a significant advantage, with 267 products achieving an average return of 18.3% and an average excess return of 14.51%, where 265 products had positive excess returns, accounting for 99.25% [2][3]. - Medium-scale private equity (20 to 50 billion) had 152 products with an average return of 17.3% and an average excess return of 14.37%, with 96.71% of products showing positive excess returns [3]. - Small-scale private equity (0 to 10 billion) had 286 products with an average return of 16.41% and an average excess return of 13.75%, with 89.51% of products achieving positive excess returns [3]. Group 2: Market Trends and Strategies - The market exhibited a significant small-cap style dominance, which positively impacted the performance of index-enhanced products linked to small-cap indices, with 76 other index-enhanced products and 258 air index-enhanced products achieving average returns of 20.84% and 17.88%, respectively [3]. - The performance of CSI 300 index-enhanced products lagged, with an average return of 6.31% and an average excess return of 6.28%, reflecting the overall weak performance of the CSI 300 index [4]. - Factors contributing to the strong performance of index-enhanced private equity products included structural characteristics of the A-share market, high individual stock volatility, and favorable trading conditions due to high average daily trading volume [4][5]. Group 3: Regulatory Environment - The relaxation of merger and acquisition policies by regulatory authorities led to an increase in significant asset restructuring cases, boosting market confidence and improving liquidity, which provided favorable conditions for the implementation of quantitative strategies [5].

Core Insights - The A-share market experienced significant structural performance in the first half of 2025, driven by macroeconomic fluctuations and a rebound in market sentiment [1][4] - Quantitative private equity strategies showed strong overall performance, with a notable average return of 13.72% for billion-level quantitative private equity firms, all achieving positive returns [2][6] - There is a pronounced internal differentiation within the quantitative sector, with some strategies outperforming others by over 20 percentage points [2][3] Performance Metrics - The average excess return for the CSI 500 quantitative enhancement strategy was approximately 11%, while the CSI 1000 strategy reached as high as 14% [1][2] - The average excess return for quantitative market-neutral strategies was around 5% [1] - The top-performing products in the CSI 500 strategy achieved a return of 27.97%, highlighting the significant performance gap within the sector [2] Strategy Differentiation - Different index enhancement strategies exhibited clear performance disparities, with small-cap index strategies like CSI 1000 and CSI 2000 achieving average excess returns of about 15% [3] - Large-cap strategies, represented by the CSI 300, showed relatively modest performance, maintaining an average excess return in the range of 4% to 5% [3] Market Opportunities and Challenges - The unique market environment created opportunities for quantitative strategies, described as a "dumbbell" structure, where both large-cap and small-cap stocks performed well, while mid-cap stocks lagged [3][4] - The increase in market volatility has made the execution of quantitative strategies more challenging, particularly for those focused on large-cap stocks [5] Fundraising Trends - The number of newly registered private equity funds significantly increased in the first half of 2025, with quantitative strategies showing strong fundraising performance [6] - The overall scale of the quantitative industry is expected to grow by approximately 20% to 30% compared to the same period last year, driven by the stability of excess returns during market fluctuations [6] Emerging Strategies - The CSI A500 quantitative enhancement strategy has gained attention, balancing stability from large-cap companies with growth potential from small-cap industry leaders [7] - Major quantitative private equity firms are optimistic about the A-share market's performance in the second half of the year, anticipating structural opportunities in sectors like innovative pharmaceuticals and consumer electronics [7]

Core Viewpoint - The recent decline in wealth management yields, combined with a recovery in the capital market, has led to a gradual increase in the sales of private securities investment products [1]. Group 1: Product Registration and Market Trends - In the first half of the year, a total of 5,461 new private securities investment products were registered, marking a year-on-year increase of 53.61% and a month-on-month increase of 100.48% [2][3]. - In June alone, 1,100 private securities investment funds were registered, achieving a monthly record high for the year with a month-on-month growth of 26.44% [3]. - Stock strategies remain the dominant force in private fund registrations, with 3,458 new stock strategy private products accounting for 63.32% of the total registered products [3]. Group 2: Performance of Investment Strategies - Quantitative strategies have emerged as a mainstream direction in the market, with 2,448 registered quantitative strategy private products, of which 1,715 are stock quantitative strategies, representing 70.06% [3]. - The most favored strategy within stock quantitative strategies is the index enhancement strategy, with 1,061 registered products, making up 61.87% of the stock quantitative strategies [3]. - The top three performing strategies in the first half of the year were the Tangpu 1000 Index Enhanced Private Index (+15.87%), Tangpu Subjective Growth Private Index (+12.80%), and Tangpu 500 Index Enhanced Private Index (+10.66%) [5]. Group 3: Market Outlook and Investment Focus - Private equity institutions are generally optimistic about the market in the second half of the year, focusing on sectors such as technology, consumer goods, innovative pharmaceuticals, and dividend assets [8]. - The liquidity environment is expected to remain relatively loose, reducing the likelihood of systemic risks, as domestic policies are anticipated to become more proactive [8]. - Investment strategies proposed include a focus on high-quality companies in undervalued sectors, particularly in the internet, electronics, and automotive industries, alongside a focus on high-potential innovative growth companies [8].

Group 1: Securities Asset Management Business - Nine securities firms have asset management business scales exceeding 100 billion, with CITIC Securities leading at 343.24 billion [1][2] - The total number of securities asset management products reached 22,482, with a total scale of 5.93 trillion, accounting for 9.23% of the overall asset management market [1][2] - FOF products show significant return differentiation, with strategic allocation products performing exceptionally well, indicating market preference for specific strategies [2] Group 2: Bond ETFs - The first batch of 10 sci-tech bond ETFs sold out on the first day, each with a fundraising cap of 3 billion, indicating strong market demand [3] - The total scale of bond ETFs reached 389.94 billion before the launch of the new products, with expectations to surpass 400 billion following the successful fundraising [3] - The success of these bond ETFs may enhance brand influence for related companies and attract more investors to the bond ETF sector [3] Group 3: Private Securities Products - The number of newly registered private securities products doubled compared to the previous month, with a total of 1,100 products registered in June, marking a significant increase [5] - In the first half of the year, the number of new private securities investment funds reached 5,461, a year-on-year increase of 53.61% [5] - The increase in private product registrations reflects a growing expectation for capital market recovery and a shift in funds towards private sectors [5][6] Group 4: Talent Movement in Asset Management - Sun Jianbo, a former champion fund manager, joined Wanlian Asset Management as Vice General Manager, indicating a significant talent movement in the asset management industry [4] - Wanlian Asset Management aims to expand its capital and pursue public fund licenses, reflecting a strategic focus on growth in asset management [4] - The influx of experienced professionals into the asset management sector may enhance competition and resource allocation within the industry [4]

Core Insights - The A-share market has shown significant structural characteristics this year, with a volatile market environment and rapid sector rotation providing an ideal operating soil for index enhancement (referred to as "指增") strategies [1] - Private equity fund industry index enhancement products have performed well, demonstrating strong excess return capabilities, with an average annual return of 10.59% and an average excess return of 11.92% for 682 products in the first five months [1][2] Market Environment - The market style has shifted towards small-cap stocks, which benefits quantitative index enhancement strategies that have a natural advantage in small-cap stock allocation [1] - High market liquidity has created favorable conditions for index enhancement strategies, expanding the range of investable targets and significantly reducing transaction costs [1] Product Performance - Among the 128 index enhancement products based on the CSI 1000 index, the average excess return was 10.95%, with 97.66% of products achieving positive excess returns, leading to an average return of 12.24% [2] - In contrast, the 197 products based on the CSI 500 index had an average excess return of 10.25%, but due to a decline in the index, the average return was only 9.20% [2] - The CSI 300 index enhancement products performed the weakest, with an average return of only 2.49% [2] Management Scale Insights - Large private equity firms (with assets under management over 5 billion yuan) showed a clear advantage in index enhancement strategies, achieving an average excess return of 12.86% across 254 products, with nearly 100% achieving positive excess returns [3] - Smaller private equity firms (under 1 billion yuan) also found opportunities in specific areas, with 40 products achieving excess returns over 20%, and one even reaching 70.07% [3] - Medium-sized private equity firms (1 billion to 5 billion yuan) maintained a balance of stability and flexibility, with 96.69% of their products achieving positive excess returns [3] Competitive Advantages - Large institutions leverage resource advantages, including strong technical research investments, specialized research teams, and high market recognition, which enhance strategy execution efficiency [4] - Future competition among private equity index enhancement products is expected to focus on data mining depth, trading execution precision, and risk control capabilities [4]