Core Insights - The article discusses the challenges faced by retail investors in the current financial market, particularly regarding the impact of fund losses on their investments and psychological well-being [2][3][4] Group 1: Fund Performance and Investor Behavior - Many retail investors are experiencing significant losses in their funds, leading to a "lying flat" mentality, which masks a deeper financial erosion [2] - A hypothetical investment of 100,000 yuan in a stock fund that loses 30% would leave the investor with only 70,000 yuan, while management fees continue to accrue [2] - Investors face a dilemma when considering redemption, as they incur fees of 0.5%-1.5%, and delaying redemption can lead to even greater losses [2][3] Group 2: Opportunity Costs and Market Timing - Being trapped in underperforming funds results in missed opportunities, such as the potential gains from AI-related ETFs that surged over 40% while traditional energy funds fell by 15% [3] - Historical data shows that 80% of stock market gains occur within just 20% of trading days, emphasizing the risk of missing out during market rebounds [3] - Behavioral finance indicates that when losses exceed 20%, a significant portion of investors may adopt a "ostrich mentality," avoiding market information and delaying decision-making [3] Group 3: Credit Impact and Legal Rights - Continuous losses can negatively affect investors' credit records, impacting their ability to secure loans or credit [3][4] - Investors have the right to take action against fund managers for negligence, as evidenced by a case where a quant fund was penalized for improper trading practices [4] - Strategies such as dollar-cost averaging and rebalancing can help mitigate risks during market fluctuations, allowing investors to navigate through volatile periods [4]

Core Viewpoint - The article discusses Charlie Munger's perspective on market efficiency, highlighting the contrast between theoretical market efficiency and real-world examples of market inefficiencies, particularly in the context of investment strategies and behaviors of investors [2][4][12]. Summary by Sections Effective Market Hypothesis - The Efficient Market Hypothesis (EMH) suggests that all known information is reflected in stock prices, making it impossible for investors to consistently outperform the market [4]. - Eugene Fama's work in 1965 introduced the concept of stock prices following a random walk, asserting that current prices represent fair value [4]. Buffett as an Exception - Warren Buffett is presented as a notable exception to the EMH, having consistently outperformed the market, which has led to skepticism from academic circles [5][6]. - Critics, including notable economists, have questioned Buffett's success, attributing it to luck rather than skill [6]. Buffett's Counterargument - Buffett countered the academic criticism by showcasing the historical performance of nine successful investors, including himself and Munger, arguing that their success stemmed from hard work and adherence to value investing principles [8][10]. Market Inefficiencies - Munger identifies two types of market inefficiencies: those arising from small market sizes with limited attention and those driven by investor psychology, particularly during periods of fear and greed [12]. - A specific example of market inefficiency is the premium on ETFs, where investors may buy at inflated prices due to lack of understanding of the underlying mechanics [14]. Opportunities in Inefficient Markets - The article emphasizes that while efficient markets are an ideal, real-world inefficiencies create opportunities for experienced investors to buy undervalued assets and sell overvalued ones [16].

- The "Reclaiming Confidence 2.0" RCP factor is based on the behavioral finance concept of overconfidence bias, using the time gap between rapid price increases and decreases as a proxy variable to construct the first-generation CP factor. The second-generation RCP factor is derived by orthogonalizing the CP factor with intraday returns and using the residuals to account for potential overcorrections in price adjustments[7][8] - The RCP factor was further refined by replacing sorting values with standardized factor values to retain more factor information, resulting in improved performance after purification[8] - The RCP factor's performance from February 2014 to April 2025 includes an annualized return of 18.84%, annualized volatility of 7.71%, an IR of 2.44, a monthly win rate of 79.26%, and a maximum drawdown of 5.89%[2][8][11] - During April 2025, the RCP factor's 10-group long portfolio had a return of -1.62%, the short portfolio had a return of -2.45%, and the long-short hedged portfolio achieved a return of 0.84%[2][11]