Streetwise
Lauren Rudd
Sunday, February 3, 2013
A Ground Swell of Controversy
The rampant discourse over the nation’s economic future took
a back seat to some more important forecasts recently as fractious factions face
off over whom has the superior groundhog on Groundhog Day.
Selected members of Marmota monax are yanked out of their
comfortable dens to view their shadows, the purpose of being to predict the
weather six weeks into the future. Staten Island Chuck is up against the
powerful PR machine of Punxsutawney Phil and his 128th annual forecast. Not to
be outdone, General Beauregard Lee of Georgia, who holds “honorary doctorates”
from the University of Georgia and Georgia State in "Weather Prognostication,"
has to deal with Sir Walter Wally of North Carolina.
By way of full disclosure, the fine folks at the University
of Georgia tersely informed me a couple of years ago that an honorary degree was
serious business. They said I should not have added credence to the idea that
academic recognition of such magnitude had actually been bestowed by a hallowed
university on a groundhog. Therefore, let me make it clear; I did not mean to
imply that Beauregard had actually been awarded such an honor. After all, it was
not on his Curriculum vitae.
And consider the alterations necessary to fit old Beauregard
with the obligatory academic robe, not to mention the stitches his handler would
require. Yet, the appropriate robe and hood would certainly be necessary dress
for Beauregard to stand shoulder to shin with his pedagogic colleagues.
Meanwhile, desirous of taking advantage of the ground swell
of groundhog controversy but with no groundhog of its own to roust after having
previously banned winter, Florida at one time decided to “borrow” one. To that
end, Florida devised an ad campaign indicating that Punxsutawney Phil had exited
stage right in search of warmer digs. However, Phil's handlers were not amused,
muttering something about, “trademark violation,” and the promotion died an
early death, unlike 128 year old Punxsutawney Phil.
Given the level of expertise most groundhogs have with the
English language, not to mention meteorology, there is probably some doubt as to
scientific strength of this forecasting approach. Unfortunately, many of Wall
Street’s prognosticators are in the same league as your local groundhog.
For example, some promulgate with full sincerity the idea
that the Super Bowl can forecast the stock market, meaning that at least two of
three major market indices will rise when an original NFL team wins. However, if
a team from the original AFL wins, at least two indices from among the Dow Jones
Industrial Average, the S&P 500 index and the NYSE composite index are headed
downward.
Luckily, this year it is a “heads I win, tails I win”
situation because both the San Francisco 49ers and the Baltimore Ravens can
trace their roots back to the original National Football League.
From 1967, the year Green Bay (NFL) won the first Super Bowl,
through 1989, when the San Francisco 49ers (NFL) won, the market was up after 16
old NFL teams won, and down six of seven times after old AFL teams prevailed.
The only time the indicator failed was after the Oakland Raiders won in 1984,
and that year the S&P 500 rose just 1.4 percent.
Despite being right about 80 percent of the time overall,
when the Giants beat the Patriots (17–14) in 2008 the S&P careened downward by
38.49 percent and the financial crisis was off and running.
Yet, there is a modicum of statistical data that correlates
market aberrations with certain calendar events. For example, the so-called
January effect, where stock prices supposedly increase during the month of
January.
Sporting an accuracy rate of almost 90 percent, the recurrent
nature of this anomaly suggests that the markets are not efficient. The
definition of market efficiency is that such phenomenon should not exist.
Hmm...the Dow was up 6.2 percent in January, the S&P was up 5.3 percent and the
Nasdaq 4 percent.
Before you start placing trades consider that 20 years ago David Leinweber, a
visiting economist at Caltec, determined that butter production in Bangladesh
had a statistically significant correlation (an r-squared of 99 percent) with
the S&P 500 index. And he still receives requests for current butter production
numbers.