Title :
Can Mutual Fund Really Pick Stocks? A Bootstrap Analysis
Author :
Ning Xu ; Zhi-Xin Liu
Author_Institution :
Sch. of Econ. & Manage., Beihang Univ., Beijing
Abstract :
We apply a new bootstrap statistical technique to distinguish between dasiaskillpsila and dasialuckpsila for individual funds. This methodology allows for non-normality in the idiosyncratic risk of the funds-a major issue when considering those funds which appear to be either very good or very bad performers, since these are the funds which investors are primarily interested in identifying. Our bootstrap approach uncovers findings that differ from many past studies. We find that the best funds performance cannot be explained by luck, there exists stock picking ability among a relatively small number of top performing mutual funds.
Keywords :
investment; statistical analysis; stock markets; bootstrap analysis; bootstrap statistical technique; funds performance; idiosyncratic risk; individual funds; mutual fund; stock picking; Data mining; Databases; Gaussian distribution; Investments; Mutual funds; Particle measurements; Portfolios; Probability distribution; Robustness; Testing; bootstrap; mutual fund;
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
DOI :
10.1109/WKDD.2009.33