1. Report Industry Investment Rating No relevant information provided. 2. Core View of the Report The report focuses on the research panorama of Guosheng Jinguang's fund, covering multiple aspects such as the multi - factor quantitative label system of fund - containing funds, fund quantitative strategies, fund attribution and behavior tracking, and fund manager research. It aims to provide a comprehensive and in - depth analysis framework for fund investment, helping investors identify potential investment opportunities and risks [7][20][57]. 3. Summary by Relevant Catalogs 3.1含权基金多元量化标签体系 - The multi - quantitative label system of fund - containing funds includes various types of funds investing in equity assets. It has rich evaluation dimensions, uses quantitative calculation methods, and is integrated into the fund research system [7]. - The label system covers basic information, multi - classification, quantitative risk control, and performance attribution. The basic information includes the fund manager and product information; the multi - classification includes equity position, industry, style, and concept labels; the quantitative risk control provides exposure deviation from mainstream indexes; the performance attribution includes asset allocation and stock selection ability [8][9]. - The main improvements are filling quarterly reports with CSRC industry information, covering Hong Kong stocks, adding sub - concept and sub - style labels, and providing a quantitative risk - control label library [12]. 3.2基金量化策略 3.2.1国盛金工多因子选基体系 - The fund factor library covers 11 major categories and more than 30 sub - indicators, providing a rich source of Alpha, such as the pure stock - changing α factor and the stable stock - changing α factor [20][21]. - To identify active funds with continuous Alpha, it is necessary to subtract the influence of Beta. For example, the pure stock - changing α and the stable stock - changing α factors are constructed by removing the timing and industry rotation contributions from the invisible trading income [24][26]. - The FOF strategy has an annualized excess return of over 7% relative to 885001, an information ratio of over 1.5, and positive annual excess returns [28]. 3.2.2指数增强主动FOF组合 - To obtain a stable excess return relative to the broad - based index, controlling relative exposure through penetrating positions may be the key. The FOF combination has optimization goals and multiple constraints, such as industry exposure, style exposure, equity position, and single - fund weight [36][37]. - Taking the CSI 300 as an example, the index - enhanced active FOF portfolio has an annualized excess return of over 8% relative to the CSI 300 since 2017, a tracking error of less than 4%, and an information ratio of over 2.00 [38]. 3.3基金归因及行为跟踪 3.3.1多层次Brinson归因 - The traditional Brinson model is optimized by expanding levels, markets, frequencies, and benchmarks, considering asset allocation, Hong Kong stock market, quarterly frequency, and multiple customized benchmarks [41]. 3.3.2 Barra归因体系 - The Barra style system can supplement the traditional Brinson attribution, which can split the style - level influence. The fund return can be decomposed into style - industry return, known stock - selection return, unknown stock - selection return, and trading return [45]. - The Barra fund return attribution system has the advantages of covering style returns, accurately splitting the sources of returns, providing style - attribution tools, and having flexible frequencies and expandable style factors [52][48]. 3.3.3仓位测算跟踪 - In the past six months, the positions in cyclical industries such as non - ferrous metals, basic chemicals, and steel have significantly increased, while the positions in industries such as medicine and food and beverage have significantly decreased [53]. - The weekly tracking results of industry positions show the change, average, and quantile of each industry's position in different time periods, as well as the over - or under - allocation compared with the whole - A ratio [56]. 3.4基金经理调研 - The forward - looking Alpha fund manager research includes quantitatively screening balanced/race - track excellent funds, qualitatively screening fund managers to form portraits, organizing offline research, and forming research summaries into the quantitative library [59]. - It aims to provide higher excess returns for fund investors by using a quantitative + qualitative analysis model before research and providing detailed structured research summaries after research [60]. 3.5近期研究方向 - For the ETF label, based on the ETF redemption list/index weight, a daily - update scheme is adopted. The label content covers various information of ETFs and forms an ETF rotation model [64]. - The increase in multi - asset allocation returns mainly comes from three aspects: base model + major asset timing, asset comparison/optimization + industry style rotation, and underlying asset enhancement [67]. - Based on Guosheng Jinguang's rich stock - selection library, the stock - selection factors can be mapped to fund factors, and the effective mapped fund factors in each domain can be examined by fund type [68].