Technical
Analysis VOO-DOO
In response to a question about
moving averages from a
reader last week, I thought it would make
sense - and,
perhaps, cents - to present a brief
discussion of technical
analysis.But, first, does it make sense -
and cents?
My GRIP (Growth in revenue, Relative
momentum, Insider
buying, Price to sales) subscribers know me
as a cynical,
skeptical investor whose mantra is "I
question, therefore I
am." So before we commit ourselves to an
examination of
technical trading, let's first determine
whether it is, in
fact, worth our while - emphasis on "worth."
[I cover the subject extensively in my
wildly popular
report, "The GRIP's Take on T&A: Technical
Analysis and
Other Weirdness Applied to Over-the-Counter
Securities." It
comes gratis with your subscription to the
GRIP.]
Proponents of technical analysis believe
that by analyzing
a stock's chart, they can pick up patterns
that can predict
future price movement.
"Poppycock!" - or something like it -
counter the
naysayers.
Benjamin Graham, the "Father" of value
investing and author
of, "The Intelligent Investor," numbers
among the
naysayers:
"The one principal that applies to nearly
all these so-
called 'technical approaches,'" writes
Graham, "is that one
should buy because a stock or the market has
gone up and
one should sell because it has declined.
This is the exact
opposite of sound business sense everywhere
else, and it is
most unlikely that it can lead to lasting
success in Wall
Street.
Bill Gross concurs:
"Technical analysts are the witch doctors
of our business.
By deciphering stock price movement patterns
and volume
changes, these Merlins believe they can
forecast the
future," asserts the nation's preeminent
bond fund manager
and author of "Everything You've Heard About
Investing is
Wrong!"
Dr. Burton Malkiel, Chemical Bank
Chairman's Professor of
Economics at Princeton University, and
author of "A Random
Walk Down Wall Street," also pooh-poohs
technical analysis:
"The central proposition of charting is
absolutely false,"
writes Dr. Malkiel, "and investors who
follow its precepts
will accomplish nothing but increasing
substantially the
brokerage charges they pay. There has been a
remarkable
uniformity in the conclusions of studies
done on all forms
of technical analysis. Not one has
consistently
outperformed the placebo of a buy-and-hold
strategy."
These are some pretty damning assertions
from some pretty
smart people. But other smart people eagerly
take the other
side of the technical analysis debate.
Enter William Brock, Josef Lakonishok,
and Blake LeBaron
(BLL), whose 1992 study, "Simple Technical
Trading Rules
and the Stochastic Properties of Stock
Returns,"
contradicted the notion – and a slew of
previous studies –
that technical analysis was futile. The trio
kept it simple
– relatively so, anyway:
They analyzed moving averages and
trading-range breaks on
the Dow Jones Industrial Average from
1897-1985. Signals to
buy or to sell were generated whenever long
(50-day, 150-
day, and 200-day) moving averages
intersected with short
(1-, 2-, and 5-day) moving averages. In
addition, the
authors of the study tested a widely held
belief among
technical analysts that investors should buy
"breakouts"
(the moment when a stock trades through a
relatively high
price that it has struggled to penetrate in
the past) and
sell "breakdowns" (the moment when a stock
falls below a
relatively low price at which it has tended
to stabilize in
the past).
Buy methodically buying breakouts and
selling breakdowns,
the study's authors discovered that buy
signals produced an
average annualized return of 12% over the
ensuing 10 days.
Sell signals produced an annualized 7%
decline over the
ensuing 10 days. Net-net, the authors
concluded that the
results were "consistent with technical
rules having
predictive power."
Technical analysts hailed the results as
vindication, but
it's important to note that returns were
computed based on
a 10-day holding period, hardly long-term,
and even the
authors cautioned that their "analysis
focus[ed] on the
simplest trading rules" and that
"transaction costs should
be carefully considered before such
strategies can be
implemented."
The study - one of the few academic
papers to document a
successful technical analysis trading
strategy - was itself
the subject of a study by Ryan Sullivan,
Allan Timmerman,
and Halbert White (STW) in 1999.
"Data-Snooping, Technical
Trading Rule Performance, and the Bootstrap"
was the
authors' attempt to determine the effect of
data-snooping
(culling data for correlations or patterns
that would be
unexpected to occur randomly) on the results
of the 1992
study.
They included the years 1985-1996, which
not only provided
for a full 100 years of data, but also
provided an out-of-
sample test for the years not included in
BLL's study. STW
also accounted for transaction costs, adding
a 0.27% fee
per trade for the best performing trading
rule for the full
period.
The authors found that the robust results
of the BLL study
appear to be the result of data snooping.
"The superior
performance of the [BLL] trading rule is not
repeated in
the out-of-sample experiment covering the
period 1987-
1996," Sullilvan, Timmerman and White
conclude. "There is
scant evidence that technical trading rules
were of any
economic value during the period 1987-1996."
But weep not for technical analysis. It
boasts many fans.
Technical analysis has its defenders, and
their faith is
not completely for naught. Over a narrow
time span, stocks
do tend to adhere to a trend. A number of
academic studies
have determined that winners keep winning
over the short-
run, even though they tend to underperform
over longer time
frames.
James O'Shaughnessy sang the praises of
relative strength
in his book, "What Works on Wall Street."
For the book,
O'Shaughnessy reviewed 40 years of market
data and found
that stocks displaying high relative
strength tended to
outperform for the calendar year.
Louis K. C. Chan, Narasimhan Jegadeesh,
and Josef
Lakonishok's paper "Momentum Strategies,"
(The Journal of
Finance, December 1996) analyzes the subject
thoroughly.
Interestingly, the authors caution that any
additional
returns earned via momentum strategies may
be nullified by
additional trading costs. Technical analysis
may be useful
in the short-term but even then it should be
used
sparingly.
A million people can be wrong. But a
million people being
wrong at the same time and in the same way
can exert a
substantial influence. Technical analysis,
at a minimum,
provides a real-time picture of the behavior
of millions of
investors. That's gotta be worth something,
especially when
"herds" of investors can sometimes trample
all over a
stock's fundamental attributes.
So even if technical analysis is flawed,
it still provides
insights of "value." Investors who fail to
acquire at least
a working knowledge of technical analysis
and charting
tools, therefore, risk investing in
ignorance of important
market influences. A working knowledge of
technical
analysis becomes increasingly important as
market
capitalization decreases, which makes it
particularly
important for us small-cap investors.
Carl Waynberg