从“固收为王”到“多资产多策略” 32万亿银行理财资产重构

Core Viewpoint - The banking wealth management sector is undergoing a transformation towards a "multi-asset, multi-strategy" approach to address challenges posed by low interest rates, asset scarcity, and market volatility, necessitating a comprehensive restructuring of investment strategies, asset acquisition, trading processes, risk control, product disclosure, and compliance operations [2][4][5]. Group 1: Industry Challenges and Transformation - The banking wealth management industry is facing significant challenges due to the low interest rate environment, which has led to a decline in the returns of fixed-income assets, impacting the overall performance of wealth management products [4][5]. - As of the end of Q3 2023, the total scale of bank wealth management reached 32.13 trillion yuan, with over 80% of funds still allocated to fixed-income assets, highlighting the need for diversification [4]. - The transition to a "multi-asset, multi-strategy" model is seen as essential for creating stable and attractive returns in the current market landscape [4][5]. Group 2: Implementation of Multi-Asset Strategies - Banks are actively expanding their investment teams to include equity investments, quantitative strategies, and alternative assets such as REITs and gold, aiming to enhance returns and mitigate risks [2][11]. - The integration of diverse asset classes requires a shift from traditional fixed-income strategies to a more dynamic approach that emphasizes risk management and performance consistency [5][11]. - The challenges of aligning investment styles between new hires from brokerage firms and the conservative investment philosophy of bank wealth management teams have led to difficulties in achieving cohesive strategies [8][9]. Group 3: Internal Management and Risk Control - The shift to a "multi-asset, multi-strategy" framework necessitates a complete overhaul of internal management processes, including trading links, risk control iterations, information disclosure, and compliance operations [14][15]. - The complexity of managing diverse investment strategies requires advanced technology solutions, such as AI and automation, to enhance operational efficiency and ensure compliance with regulatory requirements [15][16]. - A new risk control model is being developed to adapt to the multi-asset environment, focusing on the unique risk characteristics of different assets and strategies while ensuring low correlation among them to achieve better risk diversification [16][17].