Group 1 - Yongyi Furniture Co., Ltd. experienced a stock price increase of 5.01% on September 16, reaching 11.95 CNY per share, with a trading volume of 1.23 billion CNY and a turnover rate of 3.54%, resulting in a total market capitalization of 39.49 billion CNY [1] - The company, established on April 27, 2001, and listed on January 23, 2015, primarily engages in the research, design, production, and sales of office chairs and massage chair bodies, as well as some functional seating accessories and sofa business [1] Group 2 - Among the top ten circulating shareholders of Yongyi, Dazheng Fund's Dazheng Competitive Advantage Mixed A (090013) increased its holdings by 75,100 shares in the second quarter, bringing its total to 2.5224 million shares, which accounts for 0.84% of the circulating shares [2] - The fund has achieved a year-to-date return of 16.87%, ranking 4,733 out of 8,174 in its category, and a one-year return of 38.45%, ranking 4,379 out of 7,982 [2] Group 3 - The fund manager of Dazheng Competitive Advantage Mixed A is Xu Yan, who has a cumulative tenure of 12 years and 324 days, managing a total fund size of 19.367 billion CNY, with the best fund return during his tenure being 152.72% and the worst being 0.04% [3]

Group 1 - The core viewpoint of the news is that Yongyi Co., Ltd. (603600.SH) has reported an increase in institutional ownership, with a total of 1.73 billion shares held by seven institutional investors, representing 52.19% of the total share capital as of August 25, 2025 [1] - The institutional ownership has increased by 0.07 percentage points compared to the previous quarter, indicating a growing confidence among institutional investors [1] - Among public funds, there was a slight increase in holdings from one public fund, namely the Dacheng Competitive Advantage Mixed A, while three public funds were not disclosed in this period [1] Group 2 - One social security fund, the National Social Security Fund 502 Portfolio, was not disclosed in the current period compared to the previous quarter [2]

Group 1 - The core idea of the article emphasizes the importance of fixed overall volatility in asset allocation to maximize returns and Sharpe ratios, derived from the pursuit of portfolio efficiency [3][41]. - The article outlines a three-step process to reconstruct investment paradigms: setting risk budgets, decomposing volatility allocation, and maximizing efficiency [6][10][11]. - The article presents backtesting results using the "three-part method" tool, comparing various strategies and highlighting the performance of long bond and equity combinations [4][12]. Group 2 - The first step involves anchoring the overall annualized volatility target, which should align with the investor's risk tolerance, with examples indicating a target of around 2% volatility corresponding to a maximum drawdown of 2% [6][7]. - The second step focuses on decomposing total volatility across asset classes using dynamic optimization models, aiming for negative correlation between asset classes to enhance returns [10][16]. - The third step aims to maximize the overall portfolio efficiency by adjusting the volatility exposure allocated to different asset classes [11][21]. Group 3 - Backtesting results show that an 88.5% long bond and 11.5% equity combination achieved a cumulative return of 22.20% with an annualized volatility of only 2.19%, significantly lower than the 17.72% volatility of the CSI 300 index [16][42]. - The long bond portion contributed an annualized volatility of 1.85%, while the equity portion contributed only 0.68% due to their negative correlation of -0.33, resulting in a compressed overall portfolio volatility [16][22]. - The article highlights that the long bond and equity strategy outperformed pure long bond strategies, achieving a higher Sharpe ratio of 2.47 compared to 2.02 for pure long bonds [21][41]. Group 4 - The article discusses the advantages of the long bond and equity strategy, noting that long bond funds have a higher unit risk-return ratio compared to equity funds in recent market conditions [44][45]. - It emphasizes that a stronger negative correlation between long bonds and equities allows for higher volatility exposure while maintaining lower overall portfolio volatility [46][47]. - The conclusion suggests that in the current market environment, anchoring around 2% volatility, the optimal solution is a combination of long bonds and equities, despite a potentially higher maximum drawdown compared to short bonds and equities [48].

Core Viewpoint - Kanghong Pharmaceutical has experienced a decline in stock price over four consecutive trading days, with a cumulative drop of 8.09% [1] Company Overview - Chengdu Kanghong Pharmaceutical Group Co., Ltd. was established in 1996 and focuses on the research, production, sales, and after-sales service of biological products, traditional Chinese medicine, chemical drugs, and medical devices [1] - The company possesses advanced research and development centers and standardized industrial production bases, with a marketing network that spans the entire country [1] Shareholder Activity - Three funds under Dacheng Fund have entered the top ten shareholders of Kanghong Pharmaceutical, including: - Dacheng Strategy Return Mixed A, which increased its holdings in Q1 of this year - Dacheng Competitive Advantage Mixed A, which also increased its holdings in Q1 - Dacheng Rui Xiang Mixed A, which entered as a new shareholder in Q1 [1] - The performance of these funds in 2023 is as follows: - Dacheng Strategy Return Mixed A: 1.46% return, ranking 2872 out of 4548 - Dacheng Competitive Advantage Mixed A: 4.62% return, ranking 1825 out of 4548 - Dacheng Rui Xiang Mixed A: 2.35% return, ranking 2545 out of 4548 [1] Fund Management - The fund manager for Dacheng Strategy Return Mixed A, Dacheng Competitive Advantage Mixed A, and Dacheng Rui Xiang Mixed A is Xu Yan [5][7] - Xu Yan holds a master's degree in management from Fudan University and has extensive experience in fund management, having worked at Dacheng Fund Management Co., Ltd. since 2007 [6]