Investment Rating - The report does not explicitly provide an investment rating for the industry or funds analyzed Core Insights - The report introduces a new metric, portfolio skewness, to measure fund manager skill by analyzing the return distribution of U.S. mutual fund holdings, suggesting that higher skewness indicates better future performance [2][5] - The study finds that high-skewness funds significantly outperform low-skewness funds, with an annualized Fama-French-Carhart alpha difference of 2.88% before fees, translating to approximately $7.35 million annually [5][18] - The research indicates that portfolio skewness is a distinct predictor of fund performance, independent of existing skill metrics like active share and R² [5][39] Summary by Sections Introduction - The report discusses the importance of understanding mutual fund portfolio characteristics as they reflect fund manager skills and behaviors [15][21] Portfolio Skewness - Two skewness metrics are constructed: standard skewness (Pskew) and Pearson's second skewness coefficient (Pskew2), with the latter being more robust against extreme values [4][23] - The average portfolio skewness across the sample is positive, indicating a tendency for funds to hold more winning stocks [29][31] Sample Selection and Data Sources - The sample includes all U.S. actively managed equity funds from March 1980 to December 2023, with a total of 895,487 fund-month observations [27][28] Empirical Results Descriptive Statistics and Persistence of Skewness - The average Pskew is 0.265, with significant variability among funds, indicating that portfolio skewness is not randomly generated but reflects managerial behavior [29][32] Skewness and Future Fund Performance - High-skewness funds show a consistent performance advantage, with annualized alpha increasing by 0.444% for each quartile increase in skewness [40][43] - The report confirms a positive correlation between portfolio skewness and future fund performance, independent of common fund characteristics [42][44] Skewness and Other Skill Metrics - Portfolio skewness shows limited overlap with existing skill measures, suggesting it captures unique information about fund managers [46][48]