产品净值累计回撤约20%，百亿私募希瓦资产创始人、首席投资官梁宏发文致歉。 【导读】百亿私募希瓦资产创始人、首席投资官梁宏发文致歉 中国基金报记者 李智 11月22日， 希瓦资产 发布的 周报显示，旗下多数基金预估净值下跌7%左右，从最高点累计回撤幅度约20% 。其间，产品净值 大幅跑 输主要指数。 对此，梁宏在周报中坦言，此次回撤的主因是个股问题，其次是科技互联网贝塔的原因。这波回撤重创，让人失望，深表歉意。 梁宏直言，这波回撤主要有三大原因：一是重仓的创新药股下跌，高位没有根据价值兑现大部分仓位，卖出决策又不够果断，导致后续卖 出价格不好；二是第一重仓的硬件龙头公司跌幅超过37%，该股操作上的问题是高位估值合理阶段不应该持有过重仓位；三是前几个月重 仓了美股稳定币股，忽略了加密货币转熊等三大风险，这笔操作是今年最大的问题。 "几个股票下跌造成的回撤是直接原因，但更深层次的原因还是自己过于贪婪。"梁宏反思称，"高位时过于兴奋，过于追求宏大叙事，而忽 略了涨幅风险，忽略了性价比。" 梁宏在周报中表示 ： "我知道这次的再次巨大回撤，让多数人对我深深失望和不再信任。不管怎样我在这里还是要道歉。今年的表现已经 落 ...

Core Viewpoint - The 2025 Xueqiu Carnival in Shanghai will focus on analyzing investment opportunities and strategies across various markets, sectors, and assets, driven by the positive market sentiment from recent policy measures and strong performance in technology sectors [1][2]. Group 1: Macroeconomic Overview - The carnival will review the economic situation of 2025 and forecast the macroeconomic outlook for 2026, highlighting the dual support from policies and the economy that has led to a steady upward trend in the A-share market [2]. - The overseas markets have also experienced strong performance this year, although they face challenges such as inflation, high valuations, and geopolitical risks [2]. Group 2: Industry Insights - The Shanghai Composite Index has reached historical highs this year, with sectors such as pharmaceuticals, technology, advanced manufacturing, and cyclical industries providing significant returns to investors [2]. - The carnival will feature professional investors focusing on these hot industry sectors to share insights on investment opportunities [2]. Group 3: Investment Strategies - Various investment strategies, including macro, equity long/short, and quantitative strategies, have gained attention this year, with discussions on how different strategies suit various types of investors and how to balance risk and return in the current market environment [2]. - Leading public and private fund managers will provide in-depth thoughts on these strategies during the carnival [2]. Group 4: Notable Participants - The event will host nearly a hundred prominent guests, including chief economists and fund managers, who will share their insights on economic trends, market observations, and investment opportunities [3]. - Popular Xueqiu users will also participate in sharing their experiences and reflections on the market [3]. Group 5: Community Engagement - Prior to the offline event, Xueqiu has set up five online discussion topics to engage the community, starting from November 24 [5]. - The annual Xueqiu Awards, recognizing influential users and funds, will also be announced during the event [5].

Core Viewpoint - The article provides an in-depth analysis of Huanfang Quantitative, a leading quantitative private equity firm in China, highlighting its performance, investment strategies, and the background of its founder, Liang Wenfeng [2][8]. Company Overview - Huanfang Quantitative was established in 2015 and is controlled by Liang Wenfeng, who is also the founder of DeepSeek. The firm manages two private equity companies: Ningbo Huanfang Quantitative and JiuZhang Asset [2][8]. - As of October 2025, Huanfang Quantitative ranked second in the private equity sector for quantitative returns, maintaining its position from the previous month, with an average return of ***% across 11 products, all of which reached historical highs in October [2][3]. Performance Metrics - Huanfang Quantitative's management scale has grown to between 70 billion and 80 billion, placing it in the "first tier" of domestic quantitative private equity firms [3]. - The firm has consistently ranked in the top ten for returns over various time frames, including the first half of 2025, the past year, and the past three years [8][14]. Investment Strategies - The firm employs a multi-strategy approach, focusing on quantitative investment driven by artificial intelligence (AI) technology. It has been utilizing machine learning since 2008 and fully integrated deep learning into its trading strategies by 2017 [43][44]. - Huanfang Quantitative's investment philosophy emphasizes long-term value creation through continuous investment in technology and team development [14][43]. Core Team - Liang Wenfeng, the founder, has a notable background in quantitative trading and has received multiple awards, including the Golden Bull Award [18][20]. - The core team includes experts from various fields, such as mathematics, physics, and AI, contributing to the firm's innovative strategies [33][34]. Company Development History - The firm has achieved significant milestones, including surpassing 100 billion in assets under management in 2019 and reaching over 1 trillion in 2021 before adjusting its scale to approximately 600 billion for better risk management [8][14]. - Recent developments include the establishment of a general artificial intelligence laboratory and the launch of the DeepSeek platform, which has gained significant attention for its cost-effective AI solutions [14][20]. Awards and Recognition - Huanfang Quantitative has received numerous accolades, including being listed among the top 50 private equity funds in China and winning the Golden Bull Award multiple times [48][49]. - The firm has also engaged in philanthropic efforts, donating over 2.2 billion to charitable causes [50].

Core Viewpoint - The article discusses the concept of risk appetite among investors, emphasizing its impact on asset allocation, investment strategies, and market price fluctuations in a complex economic environment. It highlights the importance of measuring risk appetite to make informed investment decisions, especially in light of uncertainties in economic growth and market volatility [2]. Group 1: Risk Appetite Measurement Methods - **Volatility Indicators**: Volatility is a direct reflection of market risk, with the VIX index serving as a contrarian indicator of market fear. High volatility indicates low risk appetite, while low volatility suggests a higher willingness to take risks. The implied volatility of the CSI 1000 index is currently low, indicating that investors do not foresee significant systemic risks in the near future [2]. - **Liquidity of Funds**: Fund liquidity is another key indicator of market risk appetite. A shift of funds from high-risk to low-risk assets, or vice versa, reflects changes in risk appetite. The financing balance in the A-share market, which represents investors' willingness to use leverage for stock purchases, has recently reached historical highs, although its growth rate has begun to slow [4][5]. - **Policy Expectations**: Market expectations regarding future government support measures, including fiscal and monetary policies, significantly influence risk appetite. For instance, after a significant market drop due to tariff escalations, government interventions helped stabilize the market, leading to a recovery [6]. Group 2: Market Trends and Implications - The article notes that by analyzing the driving factors of risk appetite, investors can assess whether asset prices are in a bullish or bearish environment. If asset prices show strong annualized returns but experience short-term volatility, and the factors driving the market are improving, it is advisable for investors to start positioning themselves [6]. - Conversely, if the risk appetite factors remain unchanged, it is recommended for investors to maintain their current asset allocations or strategies [6].

Core Insights - The A-share market is experiencing high volatility with a decline in the performance of technology growth stocks, leading to reduced profitability for individual stocks [1][2] - Quantitative long strategies are facing significant challenges, with performance divergence among leading institutions due to factor decay, rising costs, and stricter regulations [2][4] - The industry is evolving towards platformization, AI integration, and multi-strategy approaches to adapt to the increasingly complex market environment [1][7] Performance Challenges - The market has entered a phase of index volatility and stock differentiation, putting pressure on quantitative long strategies [2] - In October, quantitative long products achieved an average return of approximately 0.93% and an excess return of 1.5%, outperforming subjective long strategies [2] - Since the fourth quarter, there has been a noticeable divergence in excess returns among leading and mid-tier quantitative institutions [2][6] Strategy Adjustments - Some quantitative firms are shifting towards defensive strategies, focusing on risk management and reducing exposure to short-term market trends [3] - The challenges faced include declining factor effectiveness, rising trading costs, and the need for compliance with regulatory requirements [4] - Institutions are adopting multi-dimensional iterations to address these challenges, including improving algorithms and incorporating alternative data [4][5] Competitive Landscape - The quantitative industry is experiencing significant growth, with a nearly 90% increase in the number of private equity securities products registered this year, and quantitative products accounting for 44.30% of this growth [7] - The competition is shifting from single-point algorithm breakthroughs to comprehensive system engineering [7][8] - The application of AI and machine learning is becoming a standard practice in the industry, enhancing factor discovery and risk management [7][8] Future Outlook - The trend towards multi-strategy and multi-asset approaches is expected to continue, with a focus on improving capital efficiency and stabilizing net asset values [8] - There is an increasing concentration of resources towards leading institutions that demonstrate stable performance and robust product lines [8] - The industry consensus suggests that the framework and style of quantitative long strategies are now largely established, with future efforts focused on fine-tuning existing systems rather than radical changes [8]

私募排排网数据显示，截至2025年11月14日，股票私募仓位指数达81.13%，较前一周大幅提升1.05%。 这一数据不仅实现连续3周站稳80%关口、刷新年内新高，更创下近112周以来的峰值。 百亿私募大幅加仓创近185周新高。私募排排网数据显示，截至2025年11月14日，不同规模股票私募仓 位呈现差异化分布，各区间仓位指数依次为：100亿以上规模87.07%、50-100亿规模83.56%、20-50亿规 模78.67%、10-20亿规模80.48%、5-10亿规模80.86%、0-5亿规模80.09%。 其中，百亿股票私募表现尤为突出，不仅以87.07%的仓位位居各规模梯队首位，逼近90%高仓位区间， 更以单周7.98%的大幅加仓力度成为加仓主力，同时这一仓位水平也创下了近185周以来的新高。 百亿股票私募正掀起全面加仓潮，超七成已迈入满仓行列。 私募排排网数据显示，满仓百亿股票私募占比大幅提升至73.41%，对应中等仓位百亿股票私募占比显 著下降至18.47%，显然大量中等仓位百亿私募已将仓位进一步提升至满仓水平。与此同时，空仓百亿 股票私募也在积极调整仓位、向低仓水平靠拢，目前低仓百亿股票私募占比为 ...

Core Insights - The A-share market is experiencing high volatility with a decline in the performance of technology growth stocks, leading to a noticeable decrease in individual stock profitability [1] - Quantitative long strategies are facing significant challenges, with a clear divergence in performance among leading institutions due to various market pressures [2][3] - The industry is evolving towards platformization, AI integration, and multi-strategy approaches to adapt to increasingly complex market conditions [4][7] Performance Challenges - Since November, the market has entered a phase of index volatility and stock differentiation, putting pressure on quantitative long strategies [2] - Despite a marginal decline in market profitability, quantitative long products achieved an average return of approximately 0.93% in October, outperforming subjective long strategies [2] - There is a noticeable divergence in excess returns among leading and mid-tier quantitative institutions, with some strategies showing strong performance while others lag [2][6] Strategy Evolution - Quantitative strategies are facing three main challenges: declining factor effectiveness, rising trading costs, and increasing regulatory clarity [4] - Institutions are actively iterating their strategies, focusing on full-spectrum trend forecasting and alternative data to reduce reliance on traditional factors [4][5] - The emphasis is on dynamic risk control to mitigate drawdowns, with a shift towards defensive strategies in response to market conditions [3][5] Competitive Landscape - The quantitative industry is experiencing significant growth, with a nearly 90% increase in private equity securities product registrations in the first three quarters of the year, and quantitative products accounting for 44.30% of this growth [7] - The competition is shifting from isolated algorithm breakthroughs to comprehensive system engineering, with a focus on replicable and efficient production lines [7][8] - The integration of AI and machine learning is becoming a standard practice in the industry, enhancing factor discovery and risk management [7][8] Future Outlook - The market is witnessing a concentration of resources towards leading institutions that demonstrate stable performance and robust product lines, exacerbating the "Matthew Effect" [8] - The consensus in the industry suggests that quantitative long strategies will focus on refining existing frameworks rather than making disruptive changes, indicating a deeper and more nuanced competitive phase ahead [8]

Core Viewpoint - The founder of Bridgewater Associates, Ray Dalio, warns that the venture capital sector is facing significant challenges, with a high level of bubble formation in the private equity market [1] Group 1: Venture Capital Challenges - The venture capital field is currently in distress, indicating a potential downturn in investment opportunities [1] - There is a deep intertwining of private credit and private equity markets, exacerbating the situation [1] Group 2: Market Bubble - The current level of bubble formation in the private equity market has reached 80%, suggesting a critical risk for investors [1]

Core Insights - Private equity firms have become significant holders of ETFs in 2023, with 154 firms entering the top ten holders of 190 newly listed ETFs, collectively holding 2.929 billion shares [1] Group 1: Private Equity Involvement - Subjective private equity firms are the main subscribers of ETFs, with 76 firms holding a total of 1.122 billion shares, accounting for 38.31% of the total shares [1] - Smaller private equity firms, those with assets under 2 billion, are more actively subscribing, with their total subscriptions accounting for nearly 79% [1] Group 2: Focus on Sci-Tech Board ETFs - Sci-Tech Board ETFs are particularly favored by private equity, with firms entering the top ten holders of 48 ETFs that include "Sci-Tech Board" in their names, collectively holding 0.82 billion shares [1]

Market Overview - In October, the A-share market is characterized by a "slow bull market" with indices fluctuating upwards, rapid sector rotation, and increasing trading volume [2] - The number of private equity firms with assets exceeding 10 billion reached 18 in October, setting a new monthly record for the year [2] Performance of Private Equity Firms - The average return of private equity products from January to October has shown significant changes in rankings among different investment modes [2] - Among private equity firms managing over 500 million, a list of the top 100 subjective and quantitative private equity firms based on returns has been compiled [2] Quantitative Private Equity Rankings - In the top 100 quantitative private equity firms, 36 firms have over 10 billion in assets, with 22 of them ranking in the top 50 [3] - The average return threshold for firms to be included in the top 100 was set at ***% [3][11] Subjective Private Equity Rankings - In the top 100 subjective private equity firms, the average return also surpassed that of the top quantitative firms [11] - The majority of subjective private equity firms are in the 500 million to 1 billion range, with Shenzhen having the highest number of firms [12] Small and Beautiful Private Equity Rankings - Among the "small and beautiful" private equity firms with assets between 0-2 billion, there are 457 firms that meet the ranking criteria [20] - The majority of these firms are subjective private equity, with significant representation from Shanghai and Shenzhen [20] Notable Firms and Strategies - Huacheng Private Equity achieved the highest average return among quantitative firms, focusing on derivatives trading [6] - Yongshu Investment, ranked 9th among subjective firms, emphasizes a balanced approach to risk and return, focusing on sectors like semiconductors and new energy [19][24]