Apparently I may have had misunderstanding about how to
define a well-performing mutual fund, that today I learn from my lectures that
there are two sides to study if a mutual fund is a well-performing one: one is
selectivity, the other is if the fund is following the market. There is a
simple regression model to exam the performance of a mutual fund:
Once α>0 and β>0, the mutual fund is considered
as a well-performing mutual fund. The term, , represents the return of
the fund; and the term, , represents the return of
the market. The estimator, β, represents the risk of the fund;
usually when the market is performing well, a mutual fund is likely to hold
more assets with higher risk levels, and vice versa; it also represents how
well the fund is able to adapt to the market environment. The estimator, α,
represents the return of the fund when the market return is zero, and is able
to represent the ability of the fund manager.
However, this rule may not apply to other types of funds.
Mutual funds cover many different types of assets; however, some types of funds
do not cover such wide range of assets, and they also aim to boost their
returns by conducting risky investment strategies. The assessment would be
different, because when focusing at growth or other types of investment
strategies (PE, hedging, quant) rather than value, the ideologies are different
from managing a mutual fund.
Buying mutual funds may use this rule; however, when
conducting private investment or managing other types of investment, this rule
may not be appropriate to use. In addition, some studies find that funds are
not selective that α is statistically insignificant.
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