3600点再现！与其琢磨抄底逃顶，不如做好这件事

Core Viewpoint - The article discusses the limitations of market timing in investment strategies, emphasizing that long-term asset allocation is more critical for achieving investment success than attempting to time the market [3][16]. Group 1: Market Timing Analysis - Peter Lynch's analysis from 1965 to 1995 shows that even with perfect timing, the difference in annualized returns between the best and worst timing investors is minimal, with only a 1.1% difference [4][6]. - In the Chinese A-share market, from 2005 to 2024, the annualized return for the worst timing investor is 3.71%, while the best timing investor achieves 7.82%, indicating a 4.11% difference in a more volatile market [9][10]. - The costs associated with active management in China are approximately 2.2% annually, which can diminish the perceived benefits of market timing [12][15]. Group 2: Asset Allocation vs. Market Timing - Research by Brinson, Hood, and Beebower indicates that 91.5% of investment returns are determined by asset allocation, far exceeding the impact of market timing and stock selection [18]. - Asset allocation is defined as a long-term strategy (5-10 years) that involves creating a diversified portfolio based on risk-return objectives, while market timing is a short-term strategy focused on buying low and selling high [20][21]. - Tactical asset allocation can enhance returns during market cycles but should be a disciplined adjustment around a strategic asset allocation framework [23]. Group 3: Costs of Market Timing - The article highlights that market timing is a probability game that can lead to significant costs, including missing out on market rebounds and compounding returns [25][29]. - A hypothetical scenario illustrates that even with a 70% success rate in timing, the actual benefits may be negligible when considering transaction costs and the risk of missing out on bull markets [30][31]. - The importance of being invested during market opportunities is emphasized, as asset allocation allows investors to remain engaged in the market without the need for precise predictions [31].