Core Viewpoint - The article discusses the performance of private equity products in the A-share market over the past three years, highlighting the scarcity of products that have maintained impressive returns and drawdown performance amidst market volatility caused by geopolitical conflicts, the pandemic, and trade wars [2]. Summary by Categories Overall Performance of Private Equity Products - In 2023, the average return for 662 private equity products with over 10 billion in assets was 30.15%, with an average Sharpe ratio of 2.53. Over the past three years, 430 of these products achieved an average return of 79.96% and a Sharpe ratio of 1.12 [3]. Performance by Company Size - 100 billion and above: 662 products, 30.15% return, 2.53 Sharpe; 430 products, 79.96% return, 1.12 Sharpe - 50-100 billion: 372 products, 25.59% return, 2.15 Sharpe; 242 products, 53.73% return, 0.88 Sharpe - 20-50 billion: 630 products, 29.42% return, 2.29 Sharpe; 388 products, 75.14% return, 1.33 Sharpe - 10-20 billion: 573 products, 30.50% return, 2.25 Sharpe; 328 products, 74.08% return, 1.07 Sharpe - 5-10 billion: 745 products, 31.57% return, 1.91 Sharpe; 449 products, 82.89% return, 0.91 Sharpe - 0-5 billion: 2057 products, 28.59% return, 1.82 Sharpe; 1169 products, 72.52% return, 0.84 Sharpe - Total: 5039 products, 29.34% return, 2.06 Sharpe; 3006 products, 74.13% return, 0.98 Sharpe [3]. Top Performing Private Equity Products - The top three subjective long products over the past three years are from Junzhijian Investment, Kaishi Private Equity, and Dongfang Gangwan, with average returns of 99.85% and a Sharpe ratio of approximately 1.04 [4]. - The leading product is "Junzhijian Junyue" managed by Zhang Yong, with significant returns and a high Sharpe ratio [5][6]. - The top three quantitative long products are from Ming Shi Fund, Maoyuan Quantitative, and Abama Investment, with an average return of 85.34% and a Sharpe ratio of approximately 1.02 [7]. - The leading product is "Ming Shi Spring 28" managed by Yang Kun, achieving high returns and a notable Sharpe ratio [8][9]. - The top three market-neutral products are from Ping Fang He Investment, Mengxi Investment, and Ming Huan Investment, with an average return of 85.34% and a Sharpe ratio of approximately 1.02 [10]. - The leading product is "Ping Fang He Cai Ying Ping Heng 1" managed by Lü Jieyong and Fang Zhuangxi, with impressive returns and a high Sharpe ratio [12]. - The top three multi-asset strategy products are from Borun Yintai Investment, Ming Huan Investment, and Honghu Private Equity, with an average return of 64.79% and a Sharpe ratio of approximately 1.09 [13].

Core Viewpoint - Quantitative investment has gained popularity among investors due to its rational, scientific, and emotionally stable characteristics. Jiukun Investment, as one of the earliest quantitative private equity firms in China, has maintained a leading scale and performance competitiveness over the years, winning over 150 industry awards [2]. Group 1: Performance and Products - As of the end of August, Jiukun Investment has 13 products with reported performance, achieving an average return of ***% this year. The "Jiukun Daily Enjoyment CSI 1000 Index Enhanced No. 1" product ranks first in returns this year, with a five-year excess return of ***% and a cumulative return of ***% since inception, showcasing Jiukun's long-term investment capability in the index enhancement sector [2]. - Jiukun Investment has a well-established and mature framework for index enhancement strategies, with a team experienced in various sub-strategies. The firm has 13 products that reached historical highs in August [22][23]. Group 2: AI Integration and Research - Jiukun Investment has positioned itself as a technology company from its inception, establishing an AI team early on and forming an internal laboratory in 2020. Over the past five years, over 90% of the recruited researchers have an AI research background, enabling comprehensive AI capability coverage in quantitative investment [5][19]. - The firm emphasizes the importance of scientific methods and a keen sense of cutting-edge technology, which are core advantages that allow Jiukun to navigate cycles and continuously iterate [7][14]. Group 3: Investment Principles and Talent - Jiukun Investment adheres to three main investment principles: rationality, long-term focus, and scientific approach, which empower every aspect of quantitative investment [6][10]. - Talent organization is considered a core asset in the quantitative field. Jiukun has a diverse team of experts in mathematics, physics, and computer science, and emphasizes nurturing talent through various programs and competitions [20].

Company Overview - Ming Stone Fund was established in 2010 and is a leading player in the quantitative investment industry, utilizing a "five-ring multi-core" research and investment model that includes five core research processes: factor, AI, optimization, trading, and risk control [5][9] - The fund has a comprehensive product system covering index enhancement, quantitative stock selection, quantitative hedging, CTA strategies, ETF innovation strategies, and multi-strategy products, catering to various risk preferences of investors [5][9] Core Research Team - The research team is composed of highly qualified professionals, with over 80% holding master's or doctoral degrees from prestigious universities, including Ivy League schools and renowned domestic institutions [11] Investment Strategies and Product Lines - The fund employs a full-market quantitative stock selection strategy that does not benchmark against any specific index, aiming for broad stock coverage and strong timing discipline to achieve excess returns [17] - The index enhancement strategy involves long positions in stocks selected through quantitative methods, aiming to track and exceed the performance of indices like CSI 300, CSI 500, and CSI 1000 [22] - The quantitative hedging strategy combines long positions in selected stocks with short positions in corresponding index futures to achieve excess returns [25] - The CTA strategy utilizes models to time stock index futures, adjusting hedge ratios based on predicted index movements [28] Risk Control - Ming Stone Fund emphasizes risk control over high-risk, high-return pursuits, implementing a dual-layer risk management system that monitors parameters at the product level and signal effectiveness at the signal level [32] - The fund has developed its own Barra multi-factor risk control model, enhancing the predictive capability for volatility in high-frequency trading strategies [32] Core Advantages - The fund's leading quantitative research and investment system is characterized by its "five-ring multi-core" model, which supports multiple core research teams [33] - The integration of AI in the entire quantitative investment process enhances efficiency and market adaptability [34] - The fund's factor team, grounded in financial academic backgrounds, effectively identifies and utilizes factors with strong explanatory power and long validity [35] Awards and Social Responsibility - Ming Stone Fund has received multiple awards, including the "Outstanding Risk Control Private Fund Product" from Securities Times and the "Five-Year Outstanding Private Company" from Shanghai Securities Journal [36] - The fund is involved in social responsibility initiatives, supporting educational funds for disabled children and other charitable projects [38]

Core Insights - The article highlights the growing popularity and impressive performance of quantitative private equity funds, particularly focusing on Ming Stone Fund, which has established itself as a leading player in the industry since its inception in 2010 [1][2]. Company Overview - Ming Stone Fund was founded in December 2010 and currently employs over 100 staff globally, with more than 80% of the research team holding advanced degrees from prestigious universities [2]. - The founder and general manager, Dr. Yuan Yu, has a strong academic background, having obtained a Ph.D. in Finance from the Wharton School and previously worked at the Federal Reserve Bank of the United States [4][2]. Investment Strategy - The fund has developed a unique Chinese-style three-factor model (CH-3) that adapts the popular Fama-French model to better fit the Chinese market, focusing on market, size, and value factors [12]. - Ming Stone Fund employs a proprietary "Five-Ring Multi-Core" quantitative research system, which includes five key research stages: factor, AI, optimization, risk control, and trading [9][13]. AI Integration - Since 2021, the fund has increasingly integrated AI into its quantitative research processes, establishing the G-Lab AI laboratory to enhance efficiency and adaptability of investment strategies [13][14]. - The fund's approach combines academic research with AI-driven factor selection, ensuring a robust theoretical foundation for its investment strategies [14]. Performance Metrics - Ming Stone Fund's quantitative stock selection product, "Ming Stone Spring 28," ranked third among top private equity quantitative stock selection products in terms of excess returns over the past three years [15]. - The fund attributes its strong performance to its efficient research system, adaptable strategies, and the favorable market environment characterized by increased liquidity and volatility [16]. Risk Management - The fund emphasizes risk control by utilizing a self-developed multi-factor risk control model, which enhances the predictive capability for volatility in high-frequency trading strategies [18].

Core Viewpoint - The article highlights the growing popularity and impressive performance of quantitative private equity funds, particularly focusing on Ming Stone Fund, which has established itself as a leading player in the industry since its inception in 2010 [1][3]. Group 1: Company Overview - Ming Stone Fund was founded in December 2010 and currently employs over 100 staff globally, with more than 80% of the research team holding advanced degrees from prestigious universities [1]. - The founder and general manager, Dr. Yuan Yu, has a strong academic background, having obtained a PhD in Finance from the Wharton School and previously worked at the Federal Reserve Bank [3][4]. Group 2: Investment Strategy - The fund has developed a unique three-factor model tailored to the Chinese market, which includes market, size, and value factors, effectively explaining most cross-sectional return anomalies in the A-share market [13]. - Ming Stone Fund employs a proprietary "Five-Ring Multi-Core" quantitative research and investment system, which includes five key research stages: factor, AI, optimization, risk control, and trading [9][14]. Group 3: AI Integration - Since 2021, the fund has significantly increased the role of AI in its investment research, establishing the G-Lab AI laboratory to enhance efficiency across all research stages [14]. - The fund's factor library consists of 30,000 factors, primarily derived from manual research, supplemented by machine learning, ensuring a balance between interpretability and differentiation [15]. Group 4: Performance Metrics - Ming Stone Fund's quantitative stock selection product, "Ming Stone Spring 28," ranked third among top private equity quantitative stock selection products in terms of excess returns over the past three years [16]. - The fund attributes its strong performance to its efficient research system, adaptive strategies, and the favorable market environment, which has enhanced its ability to capture liquidity premiums [18]. Group 5: Market Insights - The article discusses the potential of small-cap stocks represented by the CSI 1000 index, which is expected to perform well due to its low institutional coverage and pricing inefficiencies [20]. - The fund emphasizes the importance of risk control, utilizing a self-developed multi-factor risk control model to manage volatility and exposure effectively [21].