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万家中证人工智能主题交易型开放式指数证券投资基金
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万家基金管理有限公司关于旗下公开募集证券投资基金更新基金产品资料概要的提示性公告
Group 1 - The announcement is regarding the update of the prospectus and fund product summary for various open-ended index securities investment funds managed by the company, which will be disclosed on January 22, 2026 [1][2] - The funds mentioned include the Wanji Hengsheng Internet Technology Industry ETF, Wanji Zhongzheng Dividend ETF, and others, which are available for investor review on the company's website and the China Securities Regulatory Commission's electronic disclosure site [1] - The company emphasizes its commitment to managing and utilizing fund assets with honesty and diligence, but does not guarantee profits or minimum returns [3] Group 2 - The company has announced its participation in the issuance of short-term corporate bonds by Shenwan Hongyuan Securities Co., Ltd., which includes two specific bond types, "26 Shen Zheng D1" and "26 Shen Zheng D2" [5] - Both bonds are issued at a price of 100.00 yuan per share, with the coupon rate determined through negotiation between the issuer and the lead underwriter based on the results of offline inquiries [5] - The announcement also includes information about the fund's involvement in underwriting securities related to affiliated parties [6]
万家中证人工智能主题交易型开放式指数证券投资基金开放日常申购、赎回业务的公告
Group 1 - The fund will start processing subscription and redemption business from July 24, 2025 [1] - The minimum subscription and redemption unit is set at 1 million fund shares, which may be adjusted based on market conditions [2][5] - The fund management company may impose limits on the total subscription scale and individual investor holdings to protect existing shareholders' interests [2][3] Group 2 - Subscription fees for investors are capped at 0.50%, which includes related costs from securities exchanges and registration agencies [4][7] - Redemption fees are also capped at 0.50% under similar conditions [7] Group 3 - The fund will disclose the net asset value on the next business day after the subscription and redemption operations [10] - The fund management company will announce any changes to the subscription and redemption agents [9][25][26] Group 4 - The fund management company has decided to hold a communication-based meeting for fund shareholders to discuss the continuous operation of the fund due to its net asset value falling below 50 million yuan for 60 consecutive business days [49] - The voting period for the shareholders' meeting is from July 19, 2025, to August 18, 2025 [31]
万家中证人工智能主题交易型开放式指数证券投资基金基金份额发售公告
Group 1 - The fund name is Wanji Zhongzheng Artificial Intelligence Theme Exchange-Traded Open-Ended Index Securities Investment Fund, with a fund code of 159248 and a market abbreviation of AI ETF Fund [22] - The fund is a type of exchange-traded, open-ended, stock securities investment fund [22] - The fund's initial fundraising scale is capped at 1 billion RMB, excluding interest and subscription fees [5][6] Group 2 - The subscription period is from June 26, 2025, to July 11, 2025, with both online and offline cash subscription methods available [2][27] - Investors must have a Shenzhen A-share account or a Shenzhen securities investment fund account to subscribe [3][43] - The fund's subscription price is set at 1.00 RMB per fund share [23][9] Group 3 - The fund aims to closely track the underlying index and minimize tracking deviation and tracking error [25] - The fund will not accept subscription applications after the cumulative valid subscription amount exceeds 1 billion shares on any subscription day [6][7] - The fund's effective subscription funds will generate interest during the fundraising period, which will be converted into fund shares for the holders [42][58] Group 4 - The fund management company is Wanji Fund Management Co., Ltd., and the custodian is Zhejiang Merchants Securities Co., Ltd. [62] - The fund will be managed according to the principles of diligence, honesty, and prudence, but it does not guarantee profits or minimum returns [21] - The fund's past performance does not predict future results [21]