中泰资管天团 | 唐军：做配置，如何避免追涨？

Core Viewpoint - The article discusses the relationship between asset allocation and chasing gains, highlighting that both concepts often appear intertwined in investment practices, despite their theoretical differences [2][3]. Group 1: Asset Allocation and Chasing Gains - The observation that "allocation" is often linked with "chasing gains" suggests that high perceived value in certain assets typically occurs during price increases, while assets with prolonged losses are rarely considered for allocation [2]. - Traditional investment theories, such as Markowitz's Modern Portfolio Theory (MPT), indicate that asset allocation can lead to chasing gains due to reliance on historical data for expected returns and volatility [7][12]. - The tendency to chase gains is not solely a flaw in the models but arises from using past performance to predict future outcomes, which can lead to higher allocations in assets that have recently performed well [14]. Group 2: Behavioral Finance and Subjective Expectations - Behavioral finance concepts, such as availability bias, explain why investors may chase gains based on easily accessible information rather than comprehensive data [18]. - The influence of social media and real-time information can amplify the tendency to chase gains, as investors react to trending assets without thorough analysis [18]. Group 3: Strategies to Avoid Chasing Gains - Establishing an objective analytical framework is crucial for independent judgment and avoiding the common behavior of chasing gains [20]. - Differentiating between long-term logic and short-term variables can help investors avoid misapplying long-term trends to short-term market movements [27]. - Diversifying asset allocation can provide a buffer against the pressure to chase gains, allowing investors to maintain their strategies even when market conditions are unfavorable [29]. - Understanding the distinction between style beta and alpha is essential for evaluating fund performance and avoiding the impulse to chase funds based solely on past performance [32].