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Obama's
Financial Adviser is Wrong: Malfeasance - Not Models - Killed Wall
Street
TSF
- February 24, 2009 (reprinted by my friends at WOWOWOW with
TSF permission Feb 25, 2009)
by Janet
Tavakoli
Paul
Volcker, former U.S. Federal Reserve Board
chairman and member of President Obama’s
economic advisory team, gave a speech in Toronto
on
February 11 at the Grano Salon Speakers
Series on the U.S. economic crisis. He made the mistake of
blaming mathematical models instead of malfeasance
as the key source
of the financial meltdown:
“They thought financial markets obeyed mathematical laws.
They have found out differently now. You know, they all said
these events happen once every hundred years. But we have ‘once
every hundred years’ events happening every year or two,
which tells me something is the matter with the analysis.”
Volcker
was only partly right; there is something the matter with his
analysis. The models would have failed to capture unexpected “hundred
year events,” the outliers Mr. Volcker referred to in
his speech, but that was not the cause of the U.S. financial
meltdown.
There were no outliers; there were outright liars. The models
crunched misleading data fed to them by Wall Street’s
financiers. The events that keep happening every year or two
are the effects
of massive unchecked malfeasance.
The global meltdown was not caused by an unfortunate mistake;
it was caused by malicious mischief. Every problem related to
the current financial meltdown was discoverable in the course
of competent work. Our financial malaise was caused by bad behavior
deliberately hidden behind the opaque veil of models and hard
to pronounce financial products like collateralized debt obligations
and credit derivatives. There is no innocent explanation, and
the problem was massive.
Wall Street knew about predatory lending, easy money, risky
loans, overleveraged homeowners, misleading loan documents, failed
business models, overleveraged hedge fund clients, shoddy ratings
on Wall Street deals, and more. Any finance professional worth
their salt knew the data being fed the models in no way represented
the risk.
We
have a different problem than bad models. This is a classic case
of garbage in/ garbage out, and Wall Street pros selling
the garbage out knew what they were doing. As hundreds of mortgage
lenders failed, Wall Street sped up—instead of halted—its
sales of overrated deals. It rushed garbage out the door and
into investment funds all over the globe. That would be bad enough,
but investment banks lent money against this garbage, and—just
as Archimedes told us it would—leverage (borrowed money)
moved the world. But not in a good way.
WIRED
compounded Volcker’s error in its most recent article:
"Recipe for Disaster: The Formula That Killed Wall Street"
(Feb 23, 2009). WIRED blames a model called the Gaussian copula
saying it could not capture extreme “black swan” events
or “grey swan” events that happen more frequently
than the model predicted. It is true that Wall Street’s
models are flawed, but even if the models had been changed,
we would still have had our financial meltdown. All models
are flawed,
and the suggested replacement models would not have captured
the problem, either. I have been a decades-long critic of the
limitations of Wall Street’s models, but to blame models
for our current debacle dodges the real issue: malfeasance.
[JT
Note I am quoted in the WIRED article: "’Correlation
trading has spread through the psyche of the financial markets
like a highly infectious thought virus,’ wrote derivatives
guru Janet Tavakoli in 2006.” I am a trenchant critic
of correlation models, as I
wrote to the SEC when I suggested the rating agencies' NRSRO
designation should be revoked in February
2007, but I disagree with the article’s
premise that models were responsible for Wall Street’s
demise.]
Perhaps
Volcker and WIRED offered an explanation that is strictly for
the birds, because they cannot interpret what they are seeing.
At a loss for a reasonable explanation, they claim this was
an
unexpected “black swan.” Richard Feynman, the Nobel
Prize winning physicist who worked on the Manhattan Project,
would not have been a fan of Volker or WIRED, because
he believed in understanding his birds:
“You can know the name of a bird in all the languages
of the world, but when you’re finished, you’ll know
absolutely nothing whatever about the bird…So let’s
look at the bird and see what it’s doing—that’s
what counts. I learned very early the difference between knowing
the name of something and knowing something.”
If
you looked at what people were doing, it was easy to see there
were no black swans or swans of any color involved. Wall
Street’s bankers behaved like Black Bart, the 19th-century
California gentleman stage coach robber who galloped off with
Wells Fargo’s loot without ever firing a shot. Washington-based
financial regulators and Congressional overseers behaved like
ostriches. It seems they only raised their heads when it was
time to reverse legislation that protected the mortgage lending
market, approve an Ambassadorship to the former CEO of a predatory
mortgage lender , have dinner with financiers , or collect
generous campaign contributions.
The
massive creation of phoney securitizations from risky (and sometimes
predatory) loans combined with leverage to form a toxic
brew in Wall Street’s financial meth labs. Debt such as
this is initially sold at full price. It has no upside, but it
has a lot of downside. If you lend (or borrow) money against
an asset that will plummet in price, you are in trouble from
the start. As the prices of these toxic products inevitably fell,
hedge funds and other overleveraged borrowers were forced to
sell in what is called “the great unwind.” Borrowed
money and toxic products caused a vicious cycle of selling
that is feeding on itself.
Wall
Street has created such a tangled web of risk for itself that
financiers often do not trust each others’ prices
and often do not trust their own prices. Wall Street would
be delighted, however, if U.S. taxpayers would suspend their
disbelief
long enough to allow the U.S. Treasury to take this mess off
of their hands. We were told we would make money. How is that
working out so far? We have lost hundreds of billions of dollars
in market value and the oversight panels have lost track of
our money.
At
the most recent Davos conference, Jamie Dimon, JPMorgan chief
executive, remarked: “Some really stupid things were done
by American banks and American investment banks. To policymakers,
I say: Where were they?"
No one in the US has been brought to justice for the enormous
financial crime whose consequences are being foisted on the U.S.
taxpayers. It is alarming that policy makers like Paul Volker
perpetrate the myth of mistaken models instead of identifying
the misteps of imprudent and pernicious financial practices.
The
overwhelming problem in the market is lack of trust and evasive
explanations like those offered by Paul Volker and WIRED
are misguided. There shouldn’t be an ill-suited model at
the end of this whodunnit, rather there should be a long list
of Wall Street bankers and perhaps a few Congressmen and regulators.
To the policy makers, I say: “Where are you?”
[Besides,
Wall Street is not really dead, is it?]
Janet
Tavakoli is the president of Tavakoli Structured Finance,
a Chicago-based firm that provides consulting to financial institutions
and institutional investors. Ms. Tavakoli has more than 20 years
of experience in senior investment banking positions, trading,
structuring and marketing structured financial products. She
is a former adjunct professor of derivatives at the University
of Chicago's Graduate School of Business. She is the author of: Credit
Derivatives & Synthetic Structures (John Wiley & Sons,
1998, 2001), Structured
Finance & Collateralized Debt Obligations (John
Wiley & Sons, 2008), and
Dear
Mr. Buffett: What An Investor Learns 1,269 Miles
From Wall Street (John Wiley & Sons
January 2009)
Clients
of Tavakoli Structured Finance
have the benefit of proprietary consultation, which is
not available in any other paid or public forum. Clients
also commission proprietary research and analysis.
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