Core Viewpoint - The A-share market reached a nearly 10-year high on August 18, with the Shanghai Composite Index rising 0.85% to close at 3728.03 points, and the total market capitalization of A-shares exceeding 100 trillion yuan for the first time in history [1][2]. Market Performance - Multiple indices hit recent highs, including the North Star 50 and the Shenzhen Component Index, which surpassed their previous peaks from October 8 of the previous year [2]. - As of August 18, 1154 active equity funds that have been established for over 10 years were analyzed, with 280 funds (approximately 24%) achieving a net value increase of over 100% in the past decade [2][6]. Fund Performance - Three funds reported returns exceeding 400% over the past ten years: Huashang New Trend Preferred (471.24%), Jiao Yin Trend Priority A (432.28%), and Huashang Advantage Industry (430.82%) [2][5]. - Additionally, 11 funds returned over 300%, 49 funds over 200%, and 272 funds doubled their net value [1][2]. Fund Management Insights - The two top-performing funds, Huashang New Trend Preferred and Huashang Advantage Industry, were previously managed by renowned fund manager Zhou Haidong, indicating a legacy of strong performance [4]. - Jiao Yin Trend Priority A has been managed by five different fund managers since its inception, with the current manager, Yang Jinjing, achieving a return of 186.78% since May 2020 [5]. Performance Disparity - Despite the strong performance of many funds, there is a notable disparity, with 96 funds (about 10%) experiencing losses over the past decade, including three funds with losses exceeding 50% [6][9]. - The fund with the largest loss, Founder Fubon Innovation Power A, has seen a decline of 60% since its inception, reflecting the challenges faced by some funds in the market [9].

Core Viewpoint - The A-share market experienced a strong performance in the first half of the year, with major indices rising across the board, while the number of fund managers leaving their positions reached a decade-high, indicating a significant shift in the public fund industry towards team-based operations and away from individual "star" managers [1][2][6]. Group 1: Market Performance - The Shanghai Composite Index rose by 2.76%, the North Star 50 Index surged by 39.45%, and the National 2000 Index increased by over 10% in the first half of the year [1]. - As of June 30, the total number of public fund managers reached 4,042, marking the highest level in nearly a decade, with a net increase of 89 managers compared to the beginning of the year [6]. Group 2: Fund Manager Departures - A total of 182 fund managers left their positions in the first half of the year, the highest number for the same period in the past ten years, involving 99 public fund management companies [2][4]. - Notable departures included influential managers such as Hong Liu and Jin Meng from Harvest Fund, who left due to performance pressures, with their managed funds showing returns of -48.66% and -45.40% respectively [4][5]. Group 3: Industry Trends - The trend of "de-starification" in the industry is accelerating, with team-based management becoming the mainstream approach, driven by the need to adapt to the departure of veteran managers and to cultivate new talent [6]. - In the first half of the year, 2,525 products experienced changes in fund managers, with 703 active equity funds undergoing such changes, of which 244 were newly co-managed, accounting for nearly 35% [6][7].

Quantitative Models and Construction Methods 1. Model Name: Brinson Attribution Model - **Model Construction Idea**: The model is used to decompose the excess returns of active equity funds into stock selection and sector allocation contributions, providing insights into the sources of fund performance [16][19][22] - **Model Construction Process**: The Brinson model calculates excess returns as follows: $ R_{excess} = \sum_{i=1}^{n} (W_{i,f} - W_{i,b}) \cdot R_{i,b} + \sum_{i=1}^{n} W_{i,f} \cdot (R_{i,f} - R_{i,b}) $ - $ W_{i,f} $: Fund weight in sector $ i $ - $ W_{i,b} $: Benchmark weight in sector $ i $ - $ R_{i,f} $: Fund return in sector $ i $ - $ R_{i,b} $: Benchmark return in sector $ i $ The first term represents the allocation effect, and the second term represents the selection effect [16][19] - **Model Evaluation**: The model highlights that stock selection contributes more significantly to excess returns than sector allocation, with stock selection accounting for 83.17% of the total contribution on average [16][22] --- Model Backtesting Results 1. Brinson Attribution Model - Average stock selection contribution: 5.38% per half-year [22] - Probability of positive stock selection returns: 69.12% [23] - Probability of positive sector allocation returns: 53.66% [23] --- Quantitative Factors and Construction Methods 1. Factor Name: Fund Stability Factor - **Factor Construction Idea**: This factor measures the stability of a fund's sector allocation and its impact on outperforming benchmarks [10][12] - **Factor Construction Process**: Funds are categorized into 16 groups based on static and dynamic sector allocation characteristics: - Static categories: Highly diversified, diversified, concentrated, highly concentrated - Dynamic categories: Highly stable, stable, rotational, highly rotational The average probability of outperforming benchmarks is calculated for each group [10][12] - **Factor Evaluation**: Funds with highly stable and diversified sector allocations have the highest probability of outperforming benchmarks, exceeding 73% on average [12][14] 2. Factor Name: Style Consistency Factor - **Factor Construction Idea**: This factor evaluates the consistency of a fund's style (e.g., large-cap value) and its correlation with performance [27][30] - **Factor Construction Process**: Funds are classified based on their style consistency over time: - Long-term stable allocation - Majority-time allocation - Partial-time allocation - Rare-time allocation The probability of outperforming benchmarks is calculated for each group [27][28] - **Factor Evaluation**: Funds with long-term stable large-cap value styles have the highest probability of outperforming benchmarks, reaching 79.77% [28][30] --- Factor Backtesting Results 1. Fund Stability Factor - Highly diversified-highly stable funds: - Probability of outperforming benchmark: 73.12% - Probability of outperforming benchmark +10%: 57.29% [12] 2. Style Consistency Factor - Long-term stable large-cap value funds: - Probability of outperforming benchmark: 79.77% - Probability of outperforming benchmark +10%: 69.05% [28]

Core Viewpoint - The departure of fund manager Zhou Haidong from Huashang Fund marks a significant event in the industry, reflecting broader trends of "de-starring" and fee reform within the fund management sector [1][9]. Group 1: Zhou Haidong's Departure - Zhou Haidong has resigned from his position as fund manager for six funds due to personal reasons and will not take on any other roles within Huashang Fund [1][3]. - Zhou was recognized as a "dark horse" fund manager, achieving both performance and scale growth, with management assets exceeding 35 billion yuan at one point [1][5]. - His management style focused on a diversified investment approach, which helped him avoid losses during market downturns [7]. Group 2: Fund Management Transition - Following Zhou's departure, other experienced fund managers will take over the management of the funds he previously oversaw, ensuring continuity in management [4]. - Huashang Fund has emphasized its commitment to building a robust research and investment team, having trained a team of 65 members with an average of 8.59 years of experience [10]. Group 3: Industry Trends - The fund management industry is experiencing a shift towards index funds, which are gaining popularity due to lower fees and reduced reliance on individual fund managers [10][11]. - The trend of "de-starring" fund managers is becoming more common, with several notable fund managers leaving their positions in recent years [9]. - The industry is entering a "thin profit, high sales" phase, which may lead to a less exciting investment environment unless active equity funds can regain their footing [11].