锚定业绩比较基准，汇安基金为何选择在基本面量化上下功夫？

Core Insights - The article discusses the exceptional performance of Renaissance Technologies' Medallion Fund, which achieved an annualized compound return of 39.1% from 1988 to 2018, significantly outperforming the S&P 500 index during the same period [2]. Group 1: Quantitative Investment Landscape - The rise of quantitative investment in China began in 2010 with the launch of the CSI 300 stock index futures, evolving from simple multi-factor models to more sophisticated strategies incorporating financial statements and AI technologies [5]. - The year 2015 marked a pivotal moment for quantitative investment in China, as regulatory bodies implemented stricter regulations, leading to a transition from chaotic competition to a more standardized development phase [5]. - Despite the dominance of machine learning-based strategies in private equity, some public fund managers continue to excel using fundamental quantitative approaches, such as the Hui'an Fund's quantitative investment team [5]. Group 2: Hui'an Fund's Quantitative Strategies - The Hui'an quantitative team consists of five members, all with over five years of experience, and offers a range of products including index-enhanced and actively managed quantitative funds [6]. - Hui'an's investment philosophy combines the breadth of quantitative methods with the depth of active research, aiming to outperform industry averages and benchmarks [9][12]. - The Hui'an Multi-Factor strategy employs a combination of core and satellite stock selection strategies, focusing on high-quality growth stocks that are undervalued [12]. Group 3: Performance and Market Positioning - The Hui'an Multi-Factor fund maintains an equity position of around 90%, with a balanced industry allocation, aiming to exceed the performance of public fund indices [10][12]. - The Hui'an Multi-Strategy fund targets micro-cap investments, focusing on sectors like semiconductor and high-end manufacturing, with a strong emphasis on risk management [13]. - The Hui'an quantitative team emphasizes a collaborative research environment, leveraging a self-built quantitative strategy pool to provide tailored investment solutions based on client preferences [13].