| 基金名称 | 长信稳固 60天滚动持有债券型证券投资基金 | | --- | --- | | 基金简称 | 长信稳固60天滚动持有债券 | | 基金主代码 | 018568 | | 基金管理人名称 | 长信基金管理有限责任公司 | | 公告依据 | 《公开募集证券投资基金信息披露管理办法》等 | | 基金经理变更类型 | 增聘基金经理 | | 新任基金经理姓名 | 王蔚杰 | | 共同管理本基金的其他基金经理姓名 | 杜国昊、朱黎明 | 中国经济网北京10月24日讯今日，长信基金公告，长信金葵纯债一年定开债券、长信稳固60天滚动持有 债券增聘王蔚杰。 长信稳固60天滚动持有债券A/C成立于2023年9月4日，截至2025年10月23日，其今年来收益率为 1.90%、1.73%，成立来收益率为6.31%、5.80%，累计净值为1.0631元、1.0580元。 | 基金名称 | 长信金葵纯债一年定期开放债券型证券投资基金 | | --- | --- | | 基金简称 | 长信金葵纯债一年定开债券 | | 基金主代码 | 002254 | | 基金管理人名称 | 长信基金管理有限责任公司 | | 公告依据 | ...

中国经济网北京10月24日讯 昨日，中加基金公告，庞智桐离任中加科丰价值精选混合、中加心享 混合、中加邮益一年持有混合。 庞智桐2017年7月至2019年7月任职于渤海证券有限公司债券销售交易总部，担任债券投资助理； 2019年8月加入中加基金管理有限公司固定收益部从事债券投研工作，2024年起任基金经理。 中加科丰价值精选混合成立于2020年5月8日，截至2025年10月23日，其今年来收益率为2.89%，成 立来收益率为32.66%，累计净值为1.3144元。 中加心享混合A/C成立于2015年12月2日和2016年3月29日，截至2025年10月23日，其今年来收益率 为3.60%、3.51%，成立来收益率为48.74%、69.33%，累计净值为1.4496元、1.5956元。 | 基金名称 | 中加科丰价值精选混合型证券投资基金 | | --- | --- | | 基金简称 | 中加科丰价值精选混合 | | 基金主代码 | 008356 | | 基金管理人名称 | 中加基金管理有限公司 | | 公告依据 | 《公开募集证券投资基金信息披露管理办法》 | | | 《基金管理公司投资管理人员管理指导意见》 ...

Core Insights - The index business has seen significant growth, with Yongying Fund achieving a total ETF management scale of 26.8 billion yuan as of October 23, 2025, representing a more than fourfold increase since the beginning of the year [1][11] - Yongying Fund has successfully launched various ETFs, including the first bond ETF and innovative satellite and general aviation ETFs, with the gold stock ETF surpassing 13 billion yuan, becoming the first in China to reach this milestone [1][11] - In the index enhancement sector, Yongying Fund's performance is notable, with the Yongying Shanghai Stock Exchange Sci-Tech Innovation Board 100 Index Enhanced A yielding a 73.06% return over the past year, outperforming its benchmark by 12.08% [1][12] Product Strategy - Yongying Fund's index enhancement strategy emphasizes meticulous operations, focusing on incremental gains for investors. The team employs methods such as new stock subscriptions and stock index futures to enhance returns while controlling risks [2] - The investment operation of Yongying's enhancement products relies on a unique quantitative research system, integrating fundamental logic and AI technology to create a multi-strategy framework that is verifiable and adaptable [2] Technological Empowerment - The success of Yongying Fund's index enhancement business is attributed to its robust technological capabilities, having developed five leading research systems, including the Qianxing Fixed Income Research System and the Mingjing Risk Management System, both of which have received awards from the central bank [3][13] - The company has made significant investments in AI computing power and large models like DeepSeek, enhancing its quantitative investment capabilities in terms of market opportunities and fund tracking [3] Future Outlook - Yongying Fund aims to continuously improve its product offerings and research capabilities, aspiring to create a comprehensive "product shelf" that provides suitable tools or combinations for investors in any market environment [4] - The company has established 13 ETF products covering various themes and indices and has filed for additional index products, including those focused on AI, internet sectors, and chemical industries, to enrich its product portfolio for future business expansion [4]

中国经济网北京10月24日讯今日，长信基金公告，长信180天持有债券、长信纯债一年定开债券、长信 富安纯债180天持有债券增聘杜国昊、朱黎明。 杜国昊曾任职于德勤华永会计师事务所(特殊普通合伙)，2014年6月加入长信基金管理有限责任公司， 历任基金会计、债券交易员、基金经理助理、现金理财部副总监。现任稳健专区事业部总监、基金经 理。 长信富安纯债180天持有债券成立于2015年11月23日，截至2025年10月17日，其今年来收益率为 1.58%、1.41%，成立来收益率为59.96%、53.94%，累计净值为1.4928元、1.4516元。 | 基金名称 | 长信 180天持有期债券型证券投资基金 | | --- | --- | | 基金简称 | 长信180天持有债券 | | 基金主代码 | 020881 | | 基金管理人名称 | 长信基金管理有限责任公司 | | 公告依据 | 《公开募集证券投资基金信息披露管理办法》等 | | 基金经理变更类型 | 增聘基金经理 | | 新任基金经理姓名 | 杜国昊、朱黎明 | | 共同管理本基金的其他基金经理姓名 | 四彬 | | 基金名称 | 长信纯债一年定期开放 ...

Core Viewpoint - Yongying Fund has achieved significant growth in its index business, leveraging a unique differentiated layout and quantitative research system, resulting in a distinctive development path in the burgeoning market [2]. Group 1: Performance and Growth - As of October 23, 2025, Yongying Fund's total ETF management scale reached 26.8 billion, growing over four times since the beginning of the year [2]. - The company launched its first bond ETF and saw its innovative satellite ETF and general aviation ETF each surpass 1 billion, while its gold stock ETF exceeded 13 billion, becoming the first gold stock ETF in China to reach this milestone [2][14]. - The Yongying Shanghai Stock Exchange Science and Technology Innovation Board 100 Index Enhanced A fund achieved a one-year return of 73.06%, with an excess return of 12.08% compared to its benchmark [2][14]. Group 2: Investment Strategy - The investment strategy of Yongying's index enhancement funds emphasizes a growth-oriented stock selection model, focusing on technology growth to stabilize excess returns while increasing yield flexibility [3]. - The company employs a meticulous operational approach, aiming to accumulate small profits for investors through strategies like new stock subscriptions and risk stock exclusions [3]. - Yongying's index enhancement products utilize a unique quantitative research system, combining fundamental logic and AI technology to create a multi-strategy framework that is verifiable and iterative [3]. Group 3: Technological Empowerment - Yongying Fund's success in index enhancement is supported by its advanced technology, having developed five leading research systems, including the Qianxing Fixed Income Research System and the Mingjing Risk Management System, both awarded by the central bank [5]. - The company has made significant investments in AI computing power and large models like DeepSeek, enhancing its quantitative investment capabilities [5]. - The team is focusing on deepening machine learning and other cutting-edge technologies to strengthen its competitive advantage in the index enhancement sector [5]. Group 4: Future Outlook - Yongying Fund aims to continuously improve its product offerings and research capabilities, aspiring to create a comprehensive "product shelf" to provide suitable tools or combinations for investors in any market environment [6]. - The company has established 13 ETF products covering various themes and indices and has filed for multiple new index products, including those focused on AI and the chemical industry, to enrich its product portfolio [6].

Group 1 - The core viewpoint of the article highlights the stable and relatively loose liquidity in the domestic financial market, with the People's Bank of China (PBOC) conducting net withdrawals and injections throughout the week [2][4] - The GDP for the first three quarters of the year reached 10,150.36 billion yuan, with a year-on-year growth of 5.2%, while the third quarter saw a year-on-year growth of 4.8% and a quarter-on-quarter growth of 1.1% [4] - The article suggests that the domestic economy is showing signs of marginal weakening, particularly in fixed investment, and anticipates a potential acceleration in monetary policy easing in the fourth quarter [4] Group 2 - The National Development Bank ETF (159650) is highlighted as a suitable investment vehicle due to its high credit rating, large scale, and good liquidity, making it a reasonable choice for investors seeking low-risk options [4] - The ETF's characteristics include good liquidity, low credit risk, and lower volatility, making it a favorable tool for short-duration allocations [4] - The article indicates that the bond market may return to being driven by fundamentals, with expectations of declining bond yields as liquidity and economic conditions become more favorable [4]

华泰证券指出，黄金仍是最合适的避险资产，市场对黄金相关资产的长期配置价值的共识未发生改变， 金价仍处长期上行区间。短期下跌不影响黄金长期逻辑，回调反而提供加仓机会。 以上内容与数据，与有连云立场无关，不构成投资建议。据此操作，风险自担。 10月24日，现货黄金价格日内跌破4100美元/盎司，跌幅超过1.00%，黄金相关ETF产品纷纷下跌，截至 亚市收盘，黄金ETF华夏（518850）跌0.49%，黄金股ETF（159562）涨跌持平，有色金属ETF基金 （516650）涨1.15%。 即将公布的美国9月CPI数据成为市场关注焦点，市场预计本次CPI将从2.9%升至3.1%，核心CPI预计维 持在3.1%。尽管就业数据才是当前美联储更看重的指标，但CPI数据仍可能带来较大的市场波动，尤其 是当重要经济数据真空了三周之后。利率市场隐含的美联储下周降息25个基点的概率接近100%，这个 不太可能受到今天数据的影响。不过低于预期的数据可能进一步刺激年底至明年年中的降息预期，从而 拖累美元利好黄金。 ...

Core Insights - The recent quarterly reports from companies listed on the Beijing Stock Exchange (BSE) indicate a growing interest from public funds, with new fund shareholders appearing in the top ten circulating shareholders of several stocks [1][2] - The performance of BSE-listed companies has shown signs of recovery, with a notable increase in revenue and a decrease in the decline of net profit compared to previous quarters [2][3] - The number of brokerage credit trading guarantee accounts has increased, reflecting a rise in margin trading activity among investors [1][4] Group 1: Public Fund Involvement - As of October 24, 10 BSE stocks have disclosed their Q3 reports, with new public funds appearing among the top ten circulating shareholders of companies like Guangxin Technology and Taihu Snow [1][2] - From Q2 onwards, more public funds have begun to allocate resources to BSE stocks, with 59 stocks being heavily weighted by various types of funds [3] - Notable funds such as Xingquan Commercial Model Preferred Mixed and Xingquan New Vision Flexible Allocation have entered the top ten shareholders of Guangxin Technology [2] Group 2: Company Performance - By the end of Q3, 9 out of 10 BSE-listed companies reported positive net profits, indicating a recovery trend [2] - In the first half of the year, BSE companies achieved a total operating income of 92.064 billion, with an average income of 336 million, reflecting a year-on-year growth of 6.01% [2] - The average net profit for BSE companies was 2.156 million, with a year-on-year decline of 10.59%, showing a narrowing of the decline [2] Group 3: Margin Trading Activity - The increase in brokerage credit trading guarantee accounts among the top ten shareholders indicates heightened investor participation in margin trading [1][4] - These accounts are essential for margin trading, as they manage collateral and funds for clients engaging in such transactions [4] - The BSE has established rules for margin trading, allowing stocks to be eligible from the first day of listing, provided investors meet specific conditions [5]

Group 1 - The report emphasizes the long-term logic of high dividend assets, highlighting that current policies encourage listed companies to distribute dividends, creating a favorable environment for dividend investment [4][5] - The global capital market is currently characterized by volatility due to uncertainties such as international trade frictions and geopolitical risks, leading funds to seek assets with high safety margins, where high dividend assets stand out due to their stable cash flow returns and lower volatility [5][6] - In the context of long-term capital entering the market, the dividend sector is expected to attract more funds, particularly from long-term investors like insurance and pension funds, which align well with the low volatility and high dividend characteristics of dividend stocks [5][6] Group 2 - The performance of the Smart High Dividend Index has outperformed the CSI 300 Index since the end of 2005, with a cumulative increase of 13.00% in 2023, making it the best performer among similar indices [6][8] - The Smart High Dividend Index has an average annual return of 29.62% since 2006, with an annualized return of 19.21%, both exceeding other similar indices and the CSI 300 Index [8][11] - The index's selection method uses the latest proposed dividend yield data, allowing for more accurate predictions of future dividends compared to other indices that rely on historical averages [12][13] Group 3 - The Smart High Dividend Index maintains a balanced industry distribution, with coal being the highest weighted sector at approximately 18.32%, significantly lower than the banking sector's weight in other indices [18][22] - The top five industries account for 55.86% of the Smart High Dividend Index, which is lower than most similar indices, indicating a diversified approach that helps mitigate risks associated with high concentration in a single industry [18][22] - The index shows strong financial metrics, with a return on equity (ROE) of 11.72% in Q2 2025, surpassing the CSI 300 and other similar indices, and a lower debt ratio of 82.21%, indicating better operational efficiency and profitability [23][26] Group 4 - The report highlights the differentiated advantages of the GF CSI Smart High Dividend Strategy ETF (159207), which tracks the Smart High Dividend Index, showing a cumulative return of 14.54% since its establishment on March 27, 2025 [28][29] - The ETF has demonstrated strong short-term performance, with a one-month return of 4.54%, a three-month return of 5.44%, and a six-month return of 14.02% [28][29]

Group 1: Monetary Policy and Market Conditions - The liquidity in the domestic market remains relatively ample, with the central bank conducting net withdrawals of 244.2 billion yuan last Friday and 64.8 billion yuan on Monday, while also injecting 68.5 billion yuan on Tuesday and 94.7 billion yuan on Wednesday [1] - The 7-day funding rate showed a slight increase, with DR001 remaining stable at 1.32% and DR007 rising by 2 basis points to 1.43% compared to last Friday [1] Group 2: Economic Performance and Outlook - In the first three quarters, the domestic GDP reached 10,150.36 billion yuan, growing by 5.2% year-on-year, with a quarterly growth of 4.8% in Q3 and a 1.1% increase quarter-on-quarter [3] - The economic performance in Q3 showed signs of weakening, particularly in fixed investment, while social financing growth has declined, which is favorable for the bond market [3] - The expectation of monetary policy easing is anticipated, especially if the Federal Reserve continues to lower interest rates in Q4, which would facilitate domestic monetary loosening [3] Group 3: Investment Opportunities - The National Development Bank ETF (159650) focuses on interbank market national development bonds, which are characterized by high credit ratings, large volumes, and good liquidity, making them attractive investment options [3] - The product features of the National Development Bank ETF include good liquidity, low credit risk, and reasonable risk-return ratios, making it a suitable tool for short-duration allocations [3]