资管一线 | 中泰资管唐军：资产配置需建立稳定分析框架，重视多元配置丰富回报流

Core Insights - The performance of FOF (Fund of Funds) products has been impressive this year, with over 90% achieving positive returns [1][4] - The asset allocation approach is described as having "no optimal solution," emphasizing the need for a stable analytical framework and diversified investments to avoid common pitfalls like "chasing gains and cutting losses" [1][3][6] Group 1: Asset Allocation Strategies - The manager, Tang Jun, advocates for a multi-faceted asset allocation strategy that includes objective standards and diversified returns to mitigate risks associated with market expectations [1][6] - Tang Jun's experience in quantitative investment has shaped his ability to identify market factors and adjust asset allocations dynamically based on market conditions [2][4] - The current allocation strategy has shifted towards A-shares, reflecting a responsive adjustment to market trends, with a notable increase in A-share allocation compared to Hong Kong stocks [4][5] Group 2: Market Insights and Tactical Adjustments - The positive performance of FOF products is attributed to effective diversification strategies, particularly during stable market conditions [4] - Despite uncertainties in external environments, domestic policy support is expected to provide a solid foundation for the A-share market, leading to a stable and potentially strong performance [5] - Tang Jun has actively engaged in tactical allocations within sectors like innovative pharmaceuticals and military industries, capitalizing on growth trends and market opportunities [5][6] Group 3: Behavioral Insights and Investor Guidance - The common mistake of "chasing gains and cutting losses" is highlighted, with recommendations for establishing an analytical framework based on objective standards to guide investment decisions [6][7] - Understanding "expectation differences" is crucial for avoiding impulsive trading decisions, as market consensus often serves as a contrary indicator [7] - Investors are advised to differentiate between returns driven by style beta and alpha when selecting funds, which aligns with Tang Jun's quantitative research background [7]