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星展银行谢佩芳:跨境理财通2.0阶段客户数量实现十倍增长
2 1 Shi Ji Jing Ji Bao Dao· 2025-12-10 10:48
Group 1 - The core viewpoint of the article is that the launch of Cross-Border Wealth Management Connect 2.0 has significantly exceeded market expectations, leading to a tenfold increase in customer numbers and a substantial rise in asset management scale compared to the previous phase [1][3][4] - The number of individual investors participating in Cross-Border Wealth Management Connect has reached approximately 162,000, representing a growth of over 120% compared to the first phase, with mainland investors accounting for 109,000 [1][2] - The asset holdings of Hong Kong participating institutions in the southbound channel have doubled, exceeding 16 billion [1] Group 2 - The product preferences of southbound customers have diversified significantly, with funds primarily flowing into three categories: multi-asset allocation products, technology and AI-themed funds, and high-dividend products [2][5] - Northbound customers are increasingly interested in investing in leading mainland enterprises, as reflected by a noticeable increase in related inquiries [2][5] - The introduction of brokers into Cross-Border Wealth Management Connect has brought new vitality and healthy competition to the market, with banks focusing on risk management and compliance while brokers enhance platform operations and customer responsiveness [6] Group 3 - Future expectations for Cross-Border Wealth Management Connect include an increase in personal investment quotas and a broader range of investable products, including alternative investments such as private equity and hedge funds [7] - In the context of a global interest rate shift, the company maintains an optimistic outlook on technology sector investments and suggests a balanced approach to stock and bond allocations based on investor risk preferences [8] - Investors in the Greater Bay Area are characterized by an international perspective, showing interest in diverse investment opportunities, particularly in emerging sectors like artificial intelligence [9]