The most common form
of active management is stock picking. On average, stock
pickers will always lose by the amount of their costs
and expenses. Some will do better and some will do worse
than an appropriate or blended benchmark of risk factors.
Since the average return of the market is the average
return of all investors, the average investor gets the
average return. Although you may think that you can
choose or be the investor who beats the others, the
probability of a money manager outperforming other managers
each year is equal to getting heads on the toss of a
coin: 50/50. This is because the markets are random,
just like the coin toss. The chances of a manager beating
a market over the long term (more than 10 years) were
1 in 36 in one study, and 1 in 39 in another 30-year
study! You would be better off betting on one number
on the roulette table in Vegas, where odds are 1 in
38. So far, we have collected over 200 articles measuring
the performance of active managers, starting with Alfred
Cowles in 1933, and the results are not good for active
management.
| Definitions
for Stock Pickers |
Stock
pickers are active investors who bet they can beat a
market by picking stocks they believe will outperform
an index. To be precise, the only proper comparison
to their result is the portfolio they choose. All other
portfolios will end up with different risk and return
characteristics. Generally, they are taking more risk
than the index, because they are concentrating their
bets on fewer stocks than those in the index. When they
allocate their portfolio differently than the index,
they are guaranteed to obtain a different return and
risk level. Sometimes it is more and sometimes it is
less, but we can always assume it will be different
when looking at both risk and return. Since it takes
at least 20 years of risk and return data to confirm
skill over luck, stock pickers are faced with a virtually
impossible task in assuring continued success against
the appropriate market index. However, indexes are a
source of 20-year risk and return data, and consequently
are the only logical choice for establishing efficient
portfolios of various levels of expected risks and returns.
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