Core Insights - The article discusses the acceleration of AI technology and its impact on quantitative investment strategies, highlighting a dual reconstruction window for strategies and tools in the market [1]. Agenda Summary - The agenda includes a session on the diverse applications of AI in quantitative strategies led by Sun Meng, the head of quantitative investment at Huaxia Fund [2]. - Another session focuses on the balance between absolute return defense and offense, presented by Lin Jingyi, the director of quantitative investment at Xinda Australia Fund [2].

Group 1: Quantitative Research Position - The company is hiring for a quantitative research position located in Shanghai, Shenzhen, and Beijing, with a resume submission deadline of April 30, 2026 [1] - Responsibilities include developing and tracking financial engineering strategy models such as factor stock selection, industry rotation, and timing strategies [1] - Candidates are required to have a master's degree or higher in relevant fields such as mathematics, statistics, computer science, physics, or financial engineering [2][3] Group 2: Fund Research Position - The company is also recruiting for a fund research position in Shanghai, Shenzhen, and Beijing, with the same resume submission deadline of April 30, 2026 [4] - Responsibilities involve conducting research on fund managers, selecting funds, and related thematic strategy research [4] - Similar to the quantitative position, candidates must hold a master's degree or higher in financial engineering or related fields [5][6] Group 3: Internship Position - An internship position is available in Shenzhen, Guangzhou, Shanghai, and Beijing, with a minimum internship duration of three months and at least three days of work per week [7] - Interns will be responsible for data processing, analysis, and assisting researchers with quantitative investment-related projects [8] - Candidates should have a master's degree or higher in relevant fields and be proficient in programming languages such as Python or Matlab [9] Group 4: Application Process - Interested candidates should submit their resumes in PDF format to specified email addresses, following a specific naming format for the email subject [10] - The company will arrange written tests and interviews for qualified candidates after the resume collection deadline [10]

Group 1 - The recent volatility in US stocks has led quantitative investment managers to exit equities in favor of less risky assets, indicating a broader repositioning among systematic investors who depend on quantitative signals [3][5] - The S&P 500 Index has experienced increased turbulence, averaging a 1.2% intraday movement this month, the highest since November, with realized volatility reaching levels not seen since December [4] - McElhenny Sheffield Capital Management has completely eliminated its equity allocation, shifting to gold and US Treasuries, as their models indicated no sustained uptrend in equities [5][6] Group 2 - The move by McElhenny Sheffield Capital Management aligns with a broader trend among commodity trading advisors (CTAs), who have reduced their allocation to US equities to around the 50th percentile according to Barclays Plc [7] - There is an expectation that US tech stocks may continue to decline, with CTAs likely to keep selling and potentially turning short, even if price action remains flat in the near term [8]

Core Insights - The Fidelity Enhanced International ETF (FENI) has shown strong performance in foreign equities, returning 37.25% over the past year as of December 31, 2025, amidst a successful year for foreign equities [1] - FENI employs a quantitative data-driven investment approach, focusing on identifying businesses with durable competitive advantages at reasonable prices [1] - The ETF charges a fee of 28 basis points and is set to celebrate its three-year milestone in 2026, which is significant for brokerage consideration [1] Investment Strategy - FENI's investment strategy is grounded in systematic equity analysis, utilizing computer-aided models to objectively rank individual securities [1] - The fund primarily invests in stocks from the MSCI EAFE index, excluding the U.S. and Canada, and emphasizes metrics such as growth, profitability, and historical valuation [1] - The managers believe that financial markets are not fully efficient due to behavioral tendencies of investors, and thus apply a systematic process to mitigate emotional biases [1] Future Outlook - FENI's quantitative approach positions it well for continued outperformance in foreign equities as market conditions evolve in 2026 [1] - The fund's long-standing track record since its conversion from a mutual fund in 2007 supports its credibility and investment process [1]

Core Insights - The report titled "2025 Fund Industry Development Status and Investment Trends Research Report" was jointly released by Tsinghua University's Wudaokou School of Finance and several research centers to analyze global fund industry dynamics and assess the financial service efficiency of China's fund industry [1] Group 1: Global Fund Industry Development Analysis - The first part of the report provides a global perspective, systematically reviewing the development status, business characteristics, and future trends of major fund markets including the US, Europe, Singapore, and Japan [1] - It includes an in-depth analysis of public and private funds as well as investor behavior in mainland China and Hong Kong, aiming to offer a comprehensive and objective cross-market comparison and trend judgment [1] Group 2: Global Investment Market Special Analysis - The second part focuses on current frontier issues in the financial market, particularly discussing the synergy between ETF strategies and market ecology, as well as the integration of quantitative investment innovations with AI technology [1] - This section aims to reveal the profound impact of new technologies and asset classes on the global investment landscape, providing forward-looking perspectives and decision-making references for industry participants [1]

Core Viewpoint - The forum highlighted the transformative impact of artificial intelligence (AI) on the asset management industry, while also addressing the challenges that lie ahead in its implementation and integration [3][5][17]. Group 1: Key Insights from Keynote Speakers - Liang Dingbang emphasized that different asset management firms are leveraging AI in varied ways, with large firms using proprietary AI platforms for risk analysis, while smaller funds utilize third-party tools to enhance investment insights [3]. - Yang Qiang discussed the evolution of AI towards multi-modal integration and intelligent systems, stressing the need for decentralized models to address challenges in various sectors, including finance [5]. - Wu Chao pointed out the symbiotic relationship between quantitative trading and AI, highlighting the shift from linear models to end-to-end AI models that enhance data processing capabilities [7][8]. Group 2: Roundtable Discussions - Zhang Wei noted that the asset management industry is transitioning from experience-based decision-making to data-driven approaches, driven by advancements in AI technology [10]. - Gao Bin argued that AI cannot fully replace human judgment in investment activities due to the inherent complexities and unpredictability of the market [12]. - Zhong Hong highlighted the importance of human-machine collaboration in the future of asset management, where AI's computational efficiency complements human insight and judgment [17]. - Xia Chun pointed out that even as AI becomes more integrated into investment processes, human oversight will remain crucial for accountability and regulatory compliance [19].

Core Viewpoint - The announcement of the passing of Shen Xianbing, the founding partner of Qilin Investment, highlights the impact of leadership changes in the private equity sector, particularly in quantitative investment firms [1][2]. Group 1: Company Overview - Qilin Investment was founded in 2015 by Shen Xianbing, Wang Hongyong, and Dong Cheng, focusing on quantitative investment and becoming a representative of the University of Science and Technology of China (USTC) system in the private equity sector [2]. - As of October 2025, Qilin Investment manages an asset scale of 150 billion RMB, positioning it as one of the leading quantitative private equity firms in China [2]. Group 2: Leadership and Background - Shen Xianbing, who passed away at the age of 40, graduated from USTC with a degree in physics and had prior experience at companies such as Anhui Keda Xunfei Information Technology Co., Ltd., Shanghai Yiju Information Technology Co., Ltd., and Shanghai Dingjian Communication Technology Co., Ltd. [2]. - Wang Hongyong, the other co-founder, also holds a bachelor's degree in physics from USTC, indicating a strong academic background in the founding team [2].

Market Performance - In Q4 2025, the A-share market's technology sector experienced a phase adjustment, with funds shifting from previously hot areas like computing power and AI applications to dividend-stable, cash-rich assets [5] - The dividend sector showed overall stable performance, with high dividend and stable earnings sub-sectors performing prominently, while some consumer and media dividend stocks faced pressure [5] Mixed Public Fund Performance - As of January 22, 2026, there are 329 mixed public funds with an investment period of less than 3 months, with over 60% of these funds showing a net value growth rate of less than 1% in the last three months [6] - Nearly 30% of the funds had a net value growth rate between 1% and 4% [6] - Notably, Everbright Wealth and Huihua Wealth each had two products listed in the performance rankings, while other firms like Xingyin Wealth, Minsheng Wealth, Ping An Wealth, Xinyin Wealth, Zhao Yin Wealth, and Hangyin Wealth each had one product listed [6] Product Analysis - Xingyin Wealth's "Fuli Xingyi Intelligent Quantitative Index Growth 3-Month Minimum Holding Period No. 1 Mixed Wealth Management Product A" topped the list with a net value growth rate of 12.29% over the last three months [7] - This product focuses on equity asset allocation, with 54.19% of its holdings in equity assets as of the end of Q4 2025, and minor allocations to public funds and financial derivatives at 4.43% and 1.60%, respectively [7] - As a mid-to-high risk level product, it emphasizes risk control through multi-factor diversification and balanced industry allocation, adapting to the market's shift from aggressive growth to dividend and value sectors [7]

Core Viewpoint - Mackenzie Investments and SEI have launched four new Collective Investment Trusts (CITs) to provide U.S. institutional investors with access to Mackenzie's Global Quantitative Equity strategies, combining advanced data science with human insight to generate alpha while managing risk [1][2][3]. Group 1: New Investment Offerings - The newly launched CITs include the following strategies: Mackenzie Quantitative International Large Cap CIT, Mackenzie Quantitative International Small Cap CIT, Mackenzie Quantitative US Small Cap CIT, and Mackenzie Quantitative Emerging Markets All Cap CIT [7]. - These CITs are designed to streamline access for defined contribution and defined benefit plans to Mackenzie's holistic quantitative investment approach [2]. Group 2: Partnership and Operational Excellence - SEI Trust Company will serve as the trustee for the new CITs, enhancing operational scale and fiduciary capabilities to meet the needs of U.S. institutional investors [3][4]. - The partnership aims to empower institutional investors, allocators, consultants, and recordkeepers with efficient investment options, reflecting a commitment to operational excellence and fiduciary service [4]. Group 3: Company Backgrounds - Mackenzie Investments, a Canadian investment management firm, manages approximately $244 billion (CAD) in assets as of December 31, 2025, and is part of IGM Financial Inc., which has total assets under management and advisement of approximately $310 billion (CAD) [5]. - SEI, a global provider of financial technology and asset management services, manages, advises, or administers approximately $1.8 trillion in assets as of September 30, 2025 [6].

Core Viewpoint - Mackenzie Investments and SEI Trust Company have launched four new Collective Investment Trusts (CITs) to provide U.S. institutional investors with access to Mackenzie's Global Quantitative Equity strategies, combining advanced data science with human insight to generate alpha while managing risk [1][2]. Group 1: Company Overview - Mackenzie Investments is a Canadian investment management firm with approximately $244 billion (CAD) in assets under management as of December 31, 2025, and aims to deliver strong investment performance and innovative portfolio solutions [4]. - SEI is a global provider of financial technology, operations, and asset management services, managing, advising, or administering approximately $1.8 trillion in assets as of September 30, 2025 [5]. Group 2: Collective Investment Trusts Details - The newly launched CITs include the Mackenzie Quantitative International Large Cap CIT, Mackenzie Quantitative International Small Cap CIT, Mackenzie Quantitative US Small Cap CIT, and Mackenzie Quantitative Emerging Markets All Cap CIT [6]. - The CITs are designed to offer defined contribution and defined benefit plans streamlined access to Mackenzie's investment strategies, reinforcing the commitment to U.S. institutional investors [2][3]. Group 3: Trustee and Operational Excellence - SEI Trust Company will serve as the trustee for the CITs, leveraging its 30 years of expertise in the CIT space to provide trustee, accounting, valuation, administrative, and fiduciary services [3]. - The partnership between Mackenzie and SEI aims to enhance operational excellence and fiduciary service, empowering institutional investors with efficient investment options [3].