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刘树荣离任易方达旗下3只基金
Zhong Guo Jing Ji Wang· 2025-12-24 07:53
中国经济网北京12月24日讯 今日,易方达基金公告,刘树荣离任易方达上证中盘ETF、易方达上 证中盘ETF联接、易方达中小企业100指数(LOF)。 | 基金名称 | 易方达上证中盘交易型开放式指数证券投资基金 | | --- | --- | | | 联接基金 | | 基金简称 | 易方达上证中盘 ETF 联接 | | 基金主代码 | 110021 | | 基金管理人名称 | 易方达基金管理有限公司 | | 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》 | | | 《易方达上证中盘交易型开放式指数证券投资基 | | | 金联接基金基金合同》 | | 基金经理变更类型 | 解聘基金经理 | | 共同管理本基金的其他基金经理姓名 | 刘砚芳 | | 离任基金经理姓名 | 刘树荣 | 刘树荣现任易方达基金管理有限公司基金经理、基金经理助理。曾任招商银行资产托管部基金会 计,易方达基金管理有限公司核算部基金核算专员、指数与量化投资部运作支持专员。 | 基金名称 | 易方达中小企业 100 指数证券投资基金(LOF) | | --- | --- | | 基 ...
易方达上证中盘ETF易方达上证中盘ETF联接增聘刘砚芳
Zhong Guo Jing Ji Wang· 2025-12-03 08:28
中国经济网北京12月3日讯今日,易方达基金公告,易方达上证中盘ETF、易方达上证中盘ETF联接增 聘刘砚芳。 刘砚芳2021年7月起在易方达基金管理有限公司任职,现任基金经理、基金经理助理、研究员。 易方达上证中盘ETF成立于2010年3月29日,截至2025年12月2日,其今年来收益率为17.09%,成立来收 益率为140.67%,累计净值为2.4140元。 易方达上证中盘ETF联接A/C成立于2010年3月11日和2017年6月2日,截至2025年12月2日,其今年来收 益率为16.07%、15.79%,成立来收益率为132.48%、89.59%,累计净值为2.3248元、2.3498元。 | 基金名称 | 易方达上证中盘交易型开放式指数证券投资基金 | | --- | --- | | 基金同称 | 易方达上证中盘 ETF | | 基金主代码 | 510130 | | 基金管理人名称 | 易方达基金管理有限公司 | | 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》 | | | 《易方达上证中盘交易型开放式指数证券投资基 | | | 金基金合同》 | | ...
申万金工ETF组合202511
Group 1: Report Overview - The report focuses on the construction methods and performance of various ETF portfolios in November 2025, including macro-based, macro + momentum, core - satellite, and trinity style rotation portfolios [2] Group 2: ETF Portfolio Construction Methods Based on Macro Approach - Calculate macro - sensitivity of indices tracked by broad - based, industry - themed, and Smart Beta ETFs according to economic, liquidity, and credit variables, and select ETFs monthly. Also consider adding momentum indicators. Traditional cyclical industries are suitable for economic up - periods, TMT for weak - economic but liquid - abundant times, and consumption benefits from credit expansion. Three ETF portfolios are constructed and rebalanced monthly [5] Trinity Style Rotation - Build a mid - to long - term style rotation model centered on macro - liquidity, compared with the CSI 300 index. Combine three models (growth/value, market - cap, and quality) to get 8 style preference results, then screen target - style - exposed ETFs with controlled industry exposure and set allocation limits [6] Group 3: Macro Industry Portfolio - Select industry - themed ETFs with over 1 - year establishment and over 200 million current scale. Calculate sensitivity scores, adjust according to economic, liquidity, and credit indicators, and select the top 6 industry - themed indices. Currently, with economic indicators rising and liquidity/credit tightening, the portfolio turns to value with high bank and cyclical proportions. November holdings are mainly bank and energy - related ETFs, each with a 16.67% weight. The portfolio has large fluctuations and was close to the CSI 300 in October [7][9][11] Group 4: Macro + Momentum Industry Portfolio - Combine macro and momentum methods to address the left - side bias of macro - based strategies. Use clustering to select one product with the highest 6 - month gain from each of 6 industry - themed groups. The portfolio includes many pro - cyclical industries. November holdings have multiple ETFs, with weights like 16.67% for some and 8.33% for others. The portfolio performed well this year and was close to the CSI 300 in October [12][14][15] Group 5: Core - Satellite Portfolio - Designed to address the high volatility and fast industry rotation of industry - themed ETFs. Use the CSI 300 as the core. Construct three sub - portfolios (broad - based, industry, and Smart Beta) and combine them at 50%, 30%, and 20% respectively. November holdings are mainly mid - to large - cap biased. The portfolio performed steadily this year, outperforming the index almost every month, including in October [16][17][21] Group 6: Trinity Style Rotation ETF Portfolio - The model favors small - cap growth + high - quality segments this period. The portfolio's factor exposure and historical performance are provided. November holdings include ETFs such as Southern CSI 500 ETF and Southern CSI 1000 ETF. The portfolio had significant fluctuations in monthly returns and outperformed the index in most months this year, including in October [22][23][26]