traditional economists’ sophisticated
decision models a run for their money,
research suggests.
From investors vying for a financial
edge, to business managers trying to
target loyal customers, to high-powered
entrepreneurs looking for
profitable business locations,
new studies celebrate the efficiency and power of mental
shortcuts. In uncertain economic situations where time
is precious and information
incomplete (of which there
are a lot these days), heuristics can quickly narrow down
a bunch of choices to a few
good bets, says economist Nathan Berg
of the University of Texas at Dallas.
“The economic environment con-
stantly changes, and the whole menu of
choice options that economists tradi-
tionally study isn’t immediately visible,”
he asserts. “People can make better eco-
nomic decisions by using simple rules
of thumb to limit the number of choices
they consider.”
Many firms pay dearly for complex
investment packages that calculate
risks and benefits of an array of potential
assets based on each one’s previous per-
formance. Others devise secret invest-
ment formulas. “These approaches do
well at predicting the past,”
Gigerenzer says. “But they
have problems predicting
the future.”
In an economic world in
perpetual flux, elaborate
investment models that
explain a bevy of historical
trends can identify some
genuine moneymaking
opportunities but mistake
many accidental and random finan-
cial patterns for good bets, Gigerenzer
argues. By ignoring past financial infor-
mation, 1/N misses some profitable
buys but rebounds nicely by spreading
out investment risks without throwing
money at a lot of illusory prospects.
Gigerenzer was inspired by a 2009
study led by economists Victor DeMiguel
of the London Business School and
Lorenzo Garlappi of the University of
“People can
make better
economic
decisions by
using simple
rules of
NATHAN BERG
Texas at Austin. Using 40 years of data
from the U.S. stock market, DeMiguel
and Garlappi found that 1/N portfolios consisting of either 25 or 50 stocks
usually generated greater returns than
14 complex models for investing in the
same stocks.
Given a portfolio of the same 50 stocks,
an investor would need to wait 500 years
before Markowitz’s Nobel-winning formula yielded superior returns to 1/N, the
researchers estimated.
Markowitz remains skeptical of the
findings and plans to closely evaluate
the team’s calculations.
Naïve diversification works well
for large portfolios but often backfires when applied to a few assets, says
Richard Thaler of the University of Chicago, a leading behavioral economist
and critic of Gigerenzer’s approach.
Financial disaster looms when people
put equal amounts of their life savings
into a handful of stocks, especially if
those people invest in a company they
work for, Thaler says. Think Enron or
Bear Stearns.
Thaler, who advises a British govern-
Keep it simple
A major international insurance company found that lesson out the hard way.
The head of the firm’s investment department attended a recent lecture about
the power of distributing money evenly
among assets, given by psychologist Gerd
Gigerenzer, director of the Max Planck
Institute for Human Development’s Center for Adaptive Behavior and Cognition
in Berlin. Skeptical but intrigued, the
insurance honcho returned home and
reanalyzed his company’s investments
from 1969 to 2009.
To his surprise, a 1/N portfolio would
have made more money in that time than
any of the complex strategies that his
department had employed. Naïve diversification requires periodic reassessments of which stocks and other assets
to include in a portfolio. Yet regardless of
how the insurance official realigned the
portfolio, 1/N came out ahead.
He told Gigerenzer about the results,
asking that his identity and his company’s name be kept secret.
Quantity of information evaluated
Maximizing returns Dallas entrepreneurs choosing locations for a new business report that
they rarely do the exhaustive research that traditional economic theory calls for, instead relying on
rules of thumb. The event tree (below), which agrees well with interviews with 49 entrepreneurs,
shows bigger returns for investors who put in a little money and imitate others’ locations and for
those who put in a lot of money, locate away from others and consider few properties. SOURCE: N. BERG
High info
i
Low info
Size of investment
i
Small
Locate near others
$
No
Number of
properties considered
Yes
Small
Large
Large
No
Number of
properties considered
Yes
Small
Large
Below
expected
rate of return
Expected
rate of
return
Above
expected
rate of return
Below
expected
rate of return
Above
expected
rate of return
Expected
rate of
return
Below
expected
rate of return
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June 4, 2011 | SCIENCE NEWS | 27