Showing posts with label CDOs. Show all posts
Showing posts with label CDOs. Show all posts

Tuesday, June 16, 2009

it was perfectly valid to discuss money in abstract, mathematical, ultra-complex terms, without any reference to tangible human beings

TO BE NOTED:

1
Draft review essay for London Review of Books. Third draft
Safer than Safe
FOOL’S GOLD: HOW UNRESTRAINED GREED CORRUPTED A DREAM,
SHATTERED GLOBAL MARKETS AND UNLEASHED A CATASTROPHE by
Gillian Tett. Little, Brown, 338 pp., £12.99, 30 April, 978 1 4087 0167 6
Donald MacKenzie

Few people’s reputations have been improved by the credit crisis. One is the BBC’s
Robert Peston; another Vince Cable. A third is Gillian Tett, capital markets editor of
the Financial Times. Prior to the crisis, she and her team were the only mainstream
journalists who covered in any detail the then arcane, technical world of ‘credit
derivatives’ (of which more below). Tett saw – however imperfectly – the huge risks
that were accumulating unnoticed within that world, and spoke out about them.
Fool’s Gold begins in a conference room in Nice in spring 2005. Tett admits
that at that point she was baffled by the technical language – ‘Gaussian copula’,
‘attachment point’, ‘delta hedging’ – being spoken by the participants. However,
before joining the FT she had conducted fieldwork in Soviet Tajikistan for a PhD in
social anthropology, and the ethnographer in her re-awoke. The conference reminded
her of a Tajik wedding. Those attending it were forging and refreshing social links,
and celebrating a tacit worldview – in this case, one in which ‘it was perfectly valid to
2
discuss money in abstract, mathematical, ultra-complex terms, without any reference
to tangible human beings’.
Who were the key actors in the ceremony, those up on the conference hall’s
stage? She whispered the question to the man sitting beside her. ‘They used to all
work at J.P. Morgan. … It’s like this Morgan mafia thing. They sort of created the
credit derivatives market.’ The answer surprised her. J.P. Morgan was not Goldman
Sachs: it wasn’t an exciting bank. It bore the name of America’s most celebrated
financier, but it was ‘dull’: safe, boring, perhaps a little snobbish. (When its current
chief executive, the now well-respected Jamie Dimon, joined the bank from Bank
One, which was headquartered in Chicago, Tett reports one Morgan banker muttering
‘Not another retail banker from Hicksville, USA!’)
The core of Tett’s fine book, which is by far the most insightful of the first
wave of books on the crisis, is the story of J.P. Morgan’s credit derivatives team. For
all the bank’s traditionalism – the door staff at its London offices wear uniforms that
would not be out of place outside the Ritz – it was quietly innovative, and its blueblooded
heritage did not block all diversity. One of the team’s driving forces was a
young Englishwoman, Blythe Masters; another, Terri Duhon, makes no secret of her
upbringing in a trailer in Louisiana; central to its technical work was an Indian
mathematician, Krishna Varikooty. Boisterousness that would have horrified John
Pierpont Morgan was tolerated. Tett describes how at one off-site gathering in
Florida, one of the team’s managers broke his nose when he was being pushed into a
hotel swimming pool by drunken colleages.
3
The team’s pivotal innovation was a December 1997 deal they called ‘Bistro’
(Broad Index Secured Trust Offering). For a decade, banks had been experimenting
with credit derivatives, which are ways of separating out the ‘credit risk’ involved in
lending (the risk that borrowers will default on their obligations, failing to make the
required interest payments or not repaying their loans) and making that risk into a
product that can be bought and sold. Bistro helped turn this tentative activity into big
business.
Bistro transferred to external parties the credit risk of loans totalling $9.7
billion that J.P. Morgan had made to 307 companies. The scheme was an influential
version of the CDOs (collateralised debt obligations) that I described in LRB on 8
May 2008. Like other CDOs, Bistro was divided into ‘tranches’, of which originally
there were two. Investors in the lower or ‘junior’ tranche received a healthy rate of
return, 375 basis points over Libor (London interbank offered rate), which is the
average rate at which a panel of leading banks report they can borrow from other
banks. (A basis point is a hundredth of a percentage point.) This compensated the
junior investors for the fact that their investments would bear the initial losses,
beyond a small reserve built up during the deal’s first five years, should any of the
307 borrowers default.
Only if those losses were to exceed the entirety of the investments in the
junior tranche would the holders of Bistro’s senior tranche – which paid only 60 basis
points over Libor – suffer. The loans that made up Bistro were well-diversified across
industries, and predominantly to blue-chip companies, so losses to Bistro’s senior
tranche seemed unlikely enough to Moody’s, one of the three leading credit rating
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agencies (the others are Standard & Poor’s and Fitch), that it awarded the tranche its
highest rating, Aaa.
Aaa was a rare distinction. Only a dozen corporations and less than two dozen
governments were judged worthy of it: neither Italy nor Japan, for example, has an
Aaa rating. (As readers will know, Standard & Poor’s has indicated that the UK is
now also in some danger of losing its top rating.) Blythe Masters had formidable
powers of persuasion, which helped when selling a deal that ‘look[ed] like a science
experiment, with all those arrows’, as one investor quoted by Tett described Bistro’s
documentation. Yet 60 basis points over Libor, for an investment judged safer than
the sovereign bonds of some of the world’s leading economies, was the most
powerful argument of all: an investor would normally struggle to find an Aaa
investment that yielded as much as Libor.
For J.P. Morgan, Bistro solved one problem and potentially addressed a
second. First, while the 307 corporations were low risks, even the most creditworthy
borrowers can default. So $9.7 billion in loans to the 307 corporations was a
significant constraint on the bank’s future lending. Bistro removed that constraint.
Second, the Basel Capital Accord, signed by the world’s leading banking regulators in
1988 and implemented by them in 1992, forced banks to carry reserves equal to 8
percent of their risk-weighted lending. While certain categories of lending – to other
OECD banks, for example – qualified for a reduced reserve requirement, loans to
even the safest industrial corporation incurred the full 8 percent, a figure that bankers
felt was far larger than justified by the risks involved. J.P. Morgan hoped that the
transfer of credit risk achieved by Bistro would persuade regulators to reduce that
5
requirement considerably, and Tett reports that Blythe Masters and her colleague Bill
Demchak pushed the Federal Reserve and the Office of the Comptroller of the
Currency to clarify what exactly would be needed to achieve that.
Bistro differed from earlier CDOs in that it did not, in fact, transfer to external
investors all the credit risk of the $9.7 billion of loans. The junior and senior tranches
amounted in total to only $700 million; the bank believed that the chances of losses
ever exceeding that figure were too tiny for it to be worth paying investors to shoulder
them. The regulators, however, demanded that the bank do something to remove that
residual ‘unfunded risk’ before they would relax the 8 percent capital requirement.
The residual risk was like a topmost tranche, sitting on top of the senior
tranche; it would come into play only if losses wiped out the latter in its entirety. The
senior tranche was Aaa, as safe as it gets; the residual ‘super-senior’ tranche (as the
J.P. Morgan team christened it) was thus safer than safe. To satisfy the regulators,
however, the team turned to the Financial Products division of the leading US insurer,
AIG. Sharing J.P. Morgan’s analysis that the super-senior tranche was ultrasafe, AIG
agreed to insure it against all remaining losses, charging an annual premium of only a
fiftieth of 1 percent of the sum insured. From the viewpoint of AIG Financial
Products, it was small-scale business but apparently highly profitable: by covering an
effectively non-existent risk, the firm earned $1.8 million a year.
In that little afterthought to Bistro – what to do with the super-senior tranche –
lay the germ of much of the credit crisis, especially of its disastrous effects on many
of the world’s leading banks. Bistro-like deals started in the world of corporate
6
borrowing, but from 1999 onwards began also to be implemented in the world of
consumer debt, especially mortgages. There was actually longer experience of
packaging mortgages into securities than of packaging corporate debt into CDOs, and
mortgage-backed securities had acquired an admirable reputation for safety.
Mortgage-backed securities have a structure like that of CDOs, with different tranches
carrying various levels of exposure to risk. The safest, Aaa, tranches of those
securities had impeccably default-free records, and even the riskier tranches had
performed well: indeed, on average generally better than corporate bonds with the
same ratings. It wasn’t that people never defaulted on their mortgages – they did –
but the securities were designed to take this into account, for example by building up
reserve funds (analogous to but usually proportionately larger than Bistro’s small
reserve) that would absorb the anticipated losses. For many years, such provisions
proved in general fully adequate.
What happened from 1999 on was that mortgage-backed securities, which
already represented one layer of packaging of debt, then started to be repackaged into
CDOs, thus creating a ‘Russian doll’ product: a tranched, packaged product each of
the components of which was itself a tranche of a packaged product. Given their
excellent reputation, putting mortgage-backed securities rather than corporate bonds
or loans inside CDOs might seem a small step. Yet when in 1999 Bayerische
Landesbank, which had become involved in the US mortgage market, approached J.P.
Morgan to package $14 billion of bundles of mortgages and other forms of
predominantly consumer debt into a Bistro structure, there were initially serious
doubts within the Morgan team.
7
The problematic issue was correlation( NB DON ), which is at the core of evaluating a
CDO. Low correlation means that defaults are essentially idiosyncratic events, with
the consequence that only the bottommost tranche of a typical CDO is at significant
risk. In contrast, high correlation means that if defaults happen they tend to cluster,
and the clustering of defaults puts investors in the higher, apparently safer, tranches at
risk of loss.
Participants in the emerging credit-derivatives market tended to be confident
that they had a fair grasp of the correlation( NB DON ) of corporate defaults. The rating agencies
had large databases of such defaults from which the extent of clustering could be
inferred at least roughly, and other market participants often took the easily measured
level of correlation between the moves of different corporations’ stock prices as a
guide to the correlation of their net asset values. (The link between the latter and
default is that the most important cause of corporate default is bankruptcy, which can
be though of as happening when a corporation’s net asset value falls below zero: that
is, when its liabilities exceed its assets.) Clearly, the correlation of the asset values of
two different corporations was unlikely to be zero, since general economic conditions
will affect both. Nor, however, were corporate asset correlations thought likely to be
1.0, the value that indicates perfect correlation. 0.3 was a commonly-used figure.
That, for example, was the standard level of correlation between the asset values of
firms in the same industry that Standard & Poor’s initially assumed in CDO
Evaluator, the software system it began using in 2001 in the rating of CDOs.
The credit crisis has inured us to gigantic numbers – losses measured in
billions or trillions of dollars – but we need to pay attention to its little numbers as
8
well as its big ones if we’re going to understand it properly. A correlation of 0.3 was
modest. If it was correct it would be highly unlikely that the senior tranche of a CDO
such as Bistro would suffer a loss – unlikely enough to warrant an Aaa rating – and
effectively inconceivable that the supersenior tranche would be hit.
However, the analysis that had initially produced the widely-used figure of
0.3 was of corporate debt. How could one estimate the equivalent correlation for
mortgage-backed securities? Paradoxically, their very safety was a disadvantage in
this respect: there was effectively no record of default that could be scrutinised for
traces of clustering. Nor did such securities trade often enough for the correlation of
their prices to be measured: most investors in them simply held them until they
matured. Intuitively, though, it seemed conceivable that defaults in bundles of
mortgages or other forms of consumer debt could be quite highly correlated, because
of the likely role played by matters such as the overall unemployment level, and that
could make a CDO based upon mortgage-backed securities an unduly risky product.
In an interview I conducted with her, Terri Duhon, who led the Bayerische
Landesbank mortgage-backed CDO, told me that this caused some of her J.P. Morgan
colleagues initially to doubt whether the deal should proceed: they argued that ‘there
is no way that we should be doing this because it’s way too correlated’. Tett reports
that Krishna Varikooty, for example, was concerned by a correlation risk that seemed
to him to be unquantifiable. Intensive discussion and analysis, and very conservative
structuring of the deal eventually led to agreement that it was safe to go ahead (it
helped that unlike in many more recent deals the ratings of the underlying assets were
high – around 95 percent had Aaa ratings – and it contained no securities based on
9
subprime mortgages). Yet the reservations remained, and J.P. Morgan was only ever
to construct one further large CDO, and a limited number of smaller ones, in which
the underlying assets were bundles of mortgages.
In consequence, the bank remained on the sidelines as the previously largely
distinct worlds of CDOs and of mortgage-backed securities became increasingly
linked from 2002 on. It was an encounter of two subtly different cultures, with for
example quite different mathematical approaches. (Understandably, Tett, the former
anthropologist, limits the more ethnographic aspect of her analysis to only on one of
those cultures, that surrounding CDOs.) The CDO world developed explicit and
increasingly elaborate models of correlation – the ‘Gaussian copula’ that initially
puzzled Tett is a correlation model – while the mortgage world handled the
phenomenon entirely implicitly. In most investment banks, and also – as far as I have
been able to discover – in the New York head offices of the rating agencies, separate
groups or departments handled mortgage-backed securities and CDOs based on
corporate debt. In the investment banks, for instance, those different departments
seem to have had surprisingly little to do with each other. The two cultures never
really merged; instead, the CDO, a structure invented by the corporate-debt world,
was applied to the products of the mortgage world.
Members of both cultures now see the encounter as corrupting. ‘They’ –
constructors of CDOs based on mortgage-backed securities – ‘took our tools’ and
misused them, one specialist in corporate credit derivatives told me a few weeks ago.
Those with a background in mortgage-backed securities blame CDOs (with some
justice) for being indiscriminate buyers of those securities, concerned only with their
10
ratings and the spreads (increments over Libor) they offered. Two experienced
industry observers, Mark Adelson and David Jacob,1 suggest that the fatal point was
when CDOs became the almost the only purchasers of the riskier tranches of
mortgage-backed securities. Previously, those tranches were either guaranteed
against default by specialist insurers, or bought by canny investors with their firms’
own money at risk, who would carefully assess the risks involved. These insurers and
investors acted as a brake on the riskiness of the lower tranches, and thus on the
overall riskiness of mortgage-backed securities, and they demanded a healthy rate of
return for taking on their risks. They were displaced by those buying tranches in
order to package them into CDOs, who were prepared to buy them at lesser rates of
return, and who cared a lot less about their riskiness, because those risks were going
to be passed on to the investors in the CDOs.
With the brake removed, the construction of CDOs based on mortgage-backed
securities became a fast-moving assembly line (participants frequently turn to
machinic metaphors when describing the process). Brokers sold mortgages knowing
that they could readily be sold on in the form of mortgage-backed securities. Instead
of having to worry whether the couples sitting on the other side of their desks really
had the wherewithal to keep up their payments, all that mattered was the dozen or so
quantitative characteristics – such as borrowers’ FICO (Fair Isaac Corporation)
creditworthiness scores – that influenced rating agencies’ mortgage models. The
constructors of mortgage-backed securities no longer had to satisfy specialist insurers
or experienced investors: CDOs had an apparently insatiable demand for those
securities.
1 Their papers can be found at http://www.adelsonandjacob.com/
11
Essential to the assembly line was that the higher tranches of its final products
– CDOs in which the underlying assets were mortgage-backed securities – be able to
gain Aaa ratings. A critical issue was the likely correlation of mortgage-backed
securities. Standard & Poor’s, for example, used the same system, CDO Evaluator,
that it employed for CDOs based on corporate debt, and it employed the same modest
baseline correlation assumption, 0.3, for mortgage-backed securities that it initially
used for corporations within the same industry. (S&P would later reduce this last
figure, while increasing its assumption about cross-industry correlation. These
baseline correlation figures could be increased by the analysts rating a specific CDO
if it was highly concentrated in a particular industry or consumer-debt sector.) I
haven’t been able to ascertain the equivalent figures used by the other agencies,
whose methods differed somewhat from Standard & Poor’s, but the similarity of their
ratings to S&P’s suggest similar judgements. My focus is on S&P here simply
because – commendably – it seems to have been more explicit than the other agencies
in laying out in CDO Evaluator’s publicly-available documentation these crucial
assumptions underpinning how the system worked.
The choice of 0.3, or a number close to it, as the baseline was critical: one
specialist has told me that even a moderate increase in the baseline correlation
assumption, for example to 0.5, would have made many CDOs based on mortgagebacked
securities much less attractive, perhaps even not economically viable.
However, as far as I can discover, analysing CDOs built out of mortgage-backed
securities using only modest correlation levels seems in general to have been
uncontroversial. Certainly, the performance of mortgage-backed securities – which,
12
as noted above, had in general been better than that of corporate bonds – offered little
reason to be more stringent when rating CDOs based on them. For example, S&P’s
statistical analyses suggested a correlation of mortgage-backed securities lower than
0.3; the latter figure was retained as a baseline because it was understood that the
correlation would rise when economic conditions became less benign.
Had the world remained as it was in 2002, the agencies’ assumptions and
ratings might well have turned out to be perfectly appropriate. The trouble with an
assembly line, though, is that it produces identical products. The only person outside
of J.P. Morgan I’ve so far found who thought, at the time, that the correlation
estimates being used to analyse CDOs of mortgage-backed securities were much too
low had discovered this by accident. In a previous job as an auditor, he was checking
the statistical tables that the sellers of mortgage-backed securities provide to
prospective buyers. These tables show the breakdown of the underlying loans by
state, FICO score, loan-to-value ratio, and so on. When checking the tables for one
security, he inadvertently used the loan tape (the underlying mortgage data) for
another, and found almost complete agreement. ‘These deals’ – apparently different
mortgage-backed securities – ‘were the same deal’, he told me. Even geographical
dispersion of the underlying mortgages across the US (a desirable feature when an
individual mortgage-backed security was considered in isolation, because it reduced
exposure to the vagaries of particular local housing market) had the paradoxical effect
of increasingly the homogeneity of different mortgage-backed securities. In a
situation of severe economic stress – falling house prices, rising unemployment – not
just some of those securities would perform badly: they all would. Instead of
correlation remaining modest, my interviewee came to fear that it would be nigh on
13
perfect.
Specialists in mortgage-backed securities in the US have not been entirely
surprised at the fraud and malpractice in mortgage lending that has come to light: it
was always present, and changed only in scale( NB DON ). (There had been an earlier US
subprime crisis in the late 1990s, which only specialists seem to remember.2 It was
much more limited in its scale, but it revealed extensive over-optimistic accounting by
lenders.) That mortgage defaults have risen, and the value of repossessed homes
fallen, is not in itself surprising to specialists, although the size of the changes
certainly is. At least some of them did begin to suspect that longstanding statistical
relationships – for example between individuals’ credit scores and the risk of them
defaulting on their mortgages – had ceased to be valid, but as far as I can tell that
suspicion arose only in 2006, by which time the processes that led to the credit crisis
were well underway. One problem, for instance, seems to have been that with
individuals’ scores increasingly determining their access to credit and the rates of
interest they had to pay, they found ways to manipulate those scores. A modest webbased
industry developed which arranged (in return for fees of around $1,000-$2,000
per person) for people – in some cases, apparently dozens of people – with low credit
scores to be added as ‘authorised users’ to the credit card account of someone with a
high score and an impeccable payment record. Within one to three months, the
benefits of the primary cardholder’s regular payments fed through into improvements
in the credit scores of the card’s ‘renters’.
If, however, CDOs backed by mortgages had worked as the J.P. Morgan team
2 It is discussed in the final chapter of an excellent book that, while more limited in scope and more
technical than Tett’s, deserves to be better known: Laurie S. Goodman et al., Subprime Mortgage
Credit Derivatives (Wiley 2008, $80.00, 978-0-470-24366-4).
14
had envisaged when designing Bistro, the losses to investors in those CDOs that the
US housing bubble and its collapse have caused, though very large, would have been
spread widely across the many institutions that bought the tranches of such CDOs. As
Tett notes, what has shocked the members of that team – many of whom now work
for other banks and hedge funds, but still stay in touch – is the concentration of such
losses, especially at apparently sophisticated global banks such as Bear Stearns,
Lehman Brothers, UBS, Citigroup, Merrill Lynch, Morgan Stanley and the Royal
Bank of Scotland.
The primary vehicle by which risk was concentrated was Bistro’s afterthought,
the super-senior tranches of CDOs. Even the riskiest mortgage-backed CDOs – those
that predominantly bought the ‘mezzanine’ (next-to-lowest) tranches of mortgagebacked
securities – have super-senior tranches that are bigger than all the other
tranches put together. These super-senior tranches were hard to sell to most outside
investors, because the need for attractive returns on lower tranches means a supersenior
tranche can offer only a slender increment over Libor. By 2005, Tett reports,
that spread was as low as 15 basis points.
So many banks did as J.P. Morgan did with Bistro: they kept the super-senior
tranches, sometimes insuring them via AIG or the specialist bond insurers. (Adelson
and Jacob point out the resultant irony. Risks that the mortgage experts in the
insurers would have charged heavily for or perhaps even declined were insured in
packaged form in huge amounts – and quite cheaply – by different departments of the
same firms.) If only a handful of deals had been insured in this way, it would have
made perfect sense. As Tett notes, however, AIG insured super-senior tranches
15
totalling $560 billion. Its bail-out by the US taxpayer dwarfs that of any bank, and as
John Lanchester wrote in the LRB on 28 May, it keeps rising (the current total is $173
billion), but AIG cannot be allowed to fail, because the loss of these crucial supersenior
insurance contracts could bring much of the banking system down with it.
Perhaps most surprising of all, top banks also bought super-senior tranches
originated by other banks. If you are a top bank, you can borrow at around Libor
(that, after all, is what Libor means); if you are particularly well regarded, it may be
possible to borrow at a rate a tiny bit lower than Libor. So you could borrow at Libor
or below, buy a tranche that seemed safer than safe, and from it earn a slender spread
over Libor. It looked like free money. It was especially tempting to traders whose
banks ‘charged’ them for their use of capital, in the systems by which traders’ P&L
(profit and loss) is measured, at around Libor, and credited them with the small
additional spread that super-senior tranches offered. The slenderness of the spread
meant that you had to do the trade on a very large scale to earn a really big bonus, so
traders did just that.
As I’ve already indicated, the vulnerability of super-senior is correlation.
Losses on uncorrelated assets are unlikely ever to impact on super-senior tranches.
When correlation approaches 1.0, however, a CDO’s asset pool starts to behave like a
single investment. It may suffer no defaults, or it may default effectively in its
entirety. If the latter happens, even the super-senior tranche, safer than safe, is
doomed.
As the US historian of economics Perry Mehrling points out, events in
16
financial markets cast their shadows ahead of them, not behind. What has haunted the
banking system for the last two years is above all the shadow of the gigantic, systemwide
default of the super-senior tranches of all the CDOs based on those US
mortgage-backed securities issued towards the end of the bubble( NB DON ). (Residential
mortgages have been the focus of most of the attention, but there are also lots of
problems with commercial mortgages.) Although, alas, the losses will not stop there,
most immediately at risk have been CDOs made up primarily of the mezzanine
tranches of subprime mortgage-backed securities issued from late 2005 on. Defaults
have risen enough, the value of repossessed homes has fallen enough, and the
structure and composition of these securities has been similar enough, that as far as I
can tell almost all such tranches have been or will be wiped out in their entirety. So if
a CDO contains little else but such tranches, even its super-senior portion faces closeto-
total losses. So far, only a limited part of those losses have actually been realised,
but the banking system is braced for the rest of them – and, with the massive aid of
taxpayers, it is hopefully now well enough capitalised to survive it and the other
losses that sharp recession will bring.
Unfortunately, this analysis – that the crux of the problem has been not in
CDOs per se but in the uncomfortable encounter between the world of CDOs and that
of mortgage-backed securities – remains only a hypothesis. The world of corporate
CDOs has itself manifested some of the phenomena of the mortgage CDO assembly
line: increasingly risky loans were made to private equity firms and to other highlyindebted
corporate borrowers because it was possible to package and sell on those
loans in the form of CDOs. I’ve just come back from New York, where I questioned
some of those I spoke to on the magnitude of the problems that may lurk below the
17
still comparatively quiet surface of this other sector of the CDO market, which, while
not as large as as the mortgage sector, is still huge. My interviewees seem convinced
that while the problems are real they do not approach the same scale: the amount of
truly irresponsible lending to corporations was much smaller. I hope they are right.
At its heart, the tale Tett tells is a moral one. She believes that the history of
the J.P. Morgan credit derivatives team shows that banking can be technically
innovative while remaining responsible( NB DON ). Her readers may fear that the anthropologist
has here simply gone native, but I don’t think so. I have met a good number of those
she is writing about, and have studied many of the events she has, and I largely share
her judgement. In particular, J.P. Morgan’s decision not to set up a mortgage CDO
assembly line (despite Dimon at one point wanting one) has meant that the bank has
not suffered the catastrophic losses that so many of its peers have; unlike theirs, its
solvency has never been in doubt. It is too easy right now to condemn all of those
who work at the heart of the financial system as either rogues or fools: for example,
Tett reveals that Blythe Masters, who stands out because even today female senior
bankers are relatively rare, gets hate mail. So Tett is right to emphasise that despite
all the pressures and all the temptations, prudent banking was still practised ( NB DON ) –
sometimes – even at the centre of history’s largest-ever credit bubble.
9 June"

Friday, May 29, 2009

up through the tranched leverage of a mortgage backed-security and again through the CDO tranches themselves

TO BE NOTED: From Alphaville:

"
Extreme leverage, broker fraud edition

Blithe investment in CDOs, it has come to be known, was generally a very bad idea.

Among their many failings, the instruments had huge built-in leverage: from the leverage inherent in the underlying mortgages themselves, up through the tranched leverage of a mortgage backed-security and again through the CDO tranches themselves.

Which is why the only thing that could be more completely disastrous than buying a CDO (apart, admittedly, from buying a CDO^2 or a LSS) would be buying a CDO on margin.

The people that facilitated such madness - ten of them at least - are crooks, says the SEC:

According to the SEC’s complaint, the defendants portrayed particularly risky types of CMOs as secure investments to defraud more than 750 customers, ultimately costing them more than $36 million in losses. Meanwhile, the 10 brokers received $18 million in commissions and salaries related to their customers’ investments in CMOs.

The complaint against the ten CDO brokers in full is available here, and is an interesting read. CDO brokers beware.

To be honest, we here at FT Alphaville were astounded that CDOs were being offered to retail punters at all, let alone CDOs on margin. The SEC is clearly astounded too:

Between 2004 and 2007, Defendants, formerly registered representatives at ‘Brookstreet Securities Corp. (”Brookstreet”), made false and misleading statements in connection with the offer, sale, or purchase ofcertain types of Collateralized Mortgage Obligations (”CMOs'’). Defendants told their customers that the CMOs in which they would invest were safe, secure, liquid investments that were suitable for retirees, retirement accounts, and investors with conservative investment goals. Contrary to what they told customers, between 2004 and 2007 Defendants invested in risky types of CMOs that: (l) were not all, guaranteed by the United States government; (2) jeopardized customers’ yield and principal; (3) were largely illiquid; and (4) were only suitable for sophisticated investors with a high-risk investment profile.

In addition, Defendants heavily margined customers’ accounts (up to a ten to one margin to equity ratio), making the CMOs in which they invested even more sensitive to changes in interest rates and downturns in the CMO market.

Defendants’ fraudulent misrepresentations and omissions attracted more than 750 investor accounts with CMO investments of more than $175 million.

Were it not for the particulars of this case (material misrepresentations) it might though, seem slightly invidious to single out individual brokers. The whole of Wall Street convinced itself CDOs were risk less miracle instruments. There was, in the words of Alan Greenspan a vast “intellectual edifice” that justified it all.

Me:

Don the libertarian Democrat May 29 17:02
"Were it not for the particulars of this case (material misrepresentations) it might though, seem slightly invidious to single out individual brokers. The whole of Wall Street convinced itself CDOs were risk less miracle instruments. There was, in the words of Alan Greenspan a vast “intellectual edifice” that justified it all."

Sorry Sam, that's wishful thinking. All financial crises begin with the Elmer Fudd Defense, Stupidity Defense, Following The Herd Defense, Ostrich Defense, The Devil Made Me Do It Defense, etc., stage. It takes litigation and good investigative reporting to suss out the Fraud, Collusion, Negligence, and Fiduciary Mismanagement, underlying a financial crisis, such as this one.

Mark my word. I'll still be reading in the future if you're still writing.

Thursday, May 14, 2009

by booking assets at a higher price than the market would offer, the banks reported earnings that never existed

TO BE NOTED: From Forbes:

"
Debt Markets

Chanos: Prosecute Bank Execs

05.07.09, 05:45 PM EDT

At a conference Wednesday night, fund manager Jim Chanos accused banks of exagerating earnings for years.

pic
James Chanos

James Chanos, a well-known short seller and hedge fund manager, said banks knowingly booked inflated earnings when selling the financial products that led to their downfall and the government bailout. The earnings wound up in bonus pools and banker's pockets.

"It's the heart of one of the greatest heists of all time," he said, without naming specific banks. Their executives probably won't be prosecuted because explaining how investment banks created and sold collateralized debt obligations and other structured financial products would test a jury's attention span. "The jury's eyes would glaze over."

The top underwriters of collateralized debt obligations from 2005 to 2007 were Bank of America ( BAC - news - people )-Merrill Lynch and Citigroup ( C - news - people ) with $237 billion of the $724 billion sold during that period. Representatives from both banks either didn't return calls or declined to comment.

Chanos, president of Kynikos Associates, was an early critic of Enron and rating agencies, reportedly shorting Moody's in 2007. Last year, he argued against proposed changes to mark-to-market accounting rules and made enough smart bets in the downturn to come in ninth on Forbes' list of top earning money managers with an estimated $300 million (see "Wall Street's Highest Earners").

During a discussion over the roots of the financial crisis at New York University Wednesday evening, participants spread the blame on rating agencies, the tight connections between Wall Street firms and elected officials and federal regulators. Chanos put banks' underwriting structured financial assets at the heart of it. (see "The Junk Alchemy of CDOs.")

Like many pools of asset-backed products, collateralized debt obligations are sliced into tiers, called tranches. The highest tier was considered safe, often sporting a AAA-badge from credit rating agencies, and paid out the lowest yield compared with riskier tiers ranked below it. In Chanos' telling, the banks typically kept a 3% to 5% cut as their fee for orchestrating the deal. He said sometimes the fee came from the lowest-ranking section, the equity tranche. "In many cases, the fee was a toxic tranche," he said. "They were immediately worth 30 cents on the dollar, but not priced that way."

In effect, by booking assets at a higher price than the market would offer, the banks reported earnings that never existed, he argued. The earnings wound up in the bonus pool and were then paid out. "There's no doubt in my mind that this is fraud," he said. "This was the bezzle," he added, using the late economist John Kenneth Galbraith's term for the hidden embezzled inventory that piles up in boom times.

Brad Hintz, a senior analyst at Sanford Bernstein and the former chief financial officer for Lehman Brothers, disputed Chanos' characterization of the underwriting process. Banks kept the top tranches thinking they were the safest, he said. And the problem, as Merrill Lynch found out, was that those AAA-rated securities turned out to be toxic. The rest of the story is well known: Bear Stearns, Lehman and Merrill couldn't move asset-backed securities off their books. "One of the key mistakes was putting illiquid assets on their balance sheets, not realizing fixed income markets could become illiquid."

Friday, May 8, 2009

big pot of capital yearning to be invested in the oxymoron high-return, low-risk credit instruments

TO BE NOTED:

Forbes.com


Crankonomics
Formula From Hell
Susan Lee, 05.08.09, 12:01 AM ET

Every crisis has its evildoers. And the list associated with the current financial crisis is long, ranging from the famous Alan Greenspan to the merely infamous Richard Fuld.

But now the list has gown again with the addition of something called the Gaussian copula. At first, this evildoer excited scorn only on finance blogs, but lately it's making appearances in the mainstream financial media.

So what, exactly, is this evildoer?

The short answer: It's the formula used to figure out the risk in a pool of debts, like a mortgage-backed security. Or, to put the matter in the negative: It puts a number value on the danger that the mortgages could default at the same time. (Gaussian refers to a normal distribution, or bell curve, and copula refers to the behavior of more than one variable.)

The Gaussian copula function is a standard statistical technique. But in 2000, a numbers guy at JPMorgan Chase tricked it out as a quick and dirty way to quantify risk in very complex financial instruments. And, since the blame game is more delicious when personalized, that man was David X. Li, who came to the U.S. from China after earning a Ph.D in statistics in Canada.

Mr. Li's copula function rummages around in a lot of individual debt securities and then pops out one number that gives the probability of the securities all going bad at once. If the default correlation among the securities is low (meaning they aren't dependent, or related, to one another) then a low number pops out which means, presumably, the pool carries a low risk.

Sounds good, eh? But, even better, Mr. Li discovered a clever way to come up with the default correlation. The usual practice to determine default probability was to engage in a mind-numbing gathering of historical data on actual defaults. But Mr. Li cut that corner by using prices for credit default swaps as a proxy for the actual data.

At any rate, Mr. Li's copula was a moment waiting to happen. It was embraced ardently by investors, banks and ratings agencies like Moody's and Standard and Poor's. It was even enshrined in the regulatory framework for Basel II to determine capital requirements for banks with structured credit on their books.

And Mr. Li's copula was as fertile as it was popular. It ballooned a family of credit instruments like collaterized debt obligations and collaterized loan obligations which, in turn, gave birth to really fancy derivatives like collaterized debt obligations squared--or CDOs that invested in other CDOs.

So, eventually, several trillion dollars were invested in these things. And why not? The risks were known and therefore under control.

Well, as we now know, the risks weren't known and were, in fact, totally out of control. As soon as prices in the housing market started to swoon and defaults began to pile up, default correlations shot for the moon. What were once low numbers became fatally high, triggering a chain reaction in exploded paper. It was clear by 2008 that Mr. Li's copula was a joke. Hence the torrent of abuse and its status as evildoer.

Some criticisms of the copula are misguided, however. Please take, for example, the claim that the fault lay in the substitution of swap prices for actual data. The entire historical record for credit default swaps only goes back to the 1990s. And, sure, since that was a decade of rising home prices and low defaults, swap prices were uniformly and misleadingly low. But even if actual mortgage defaults had been used, it's not clear the result would have been different.

The post-war housing market was a steady grower--the only busts were occasional regional ones. Thus, in the absence of a boom-bust cycle, determining whether or not defaults were correlated would have been a mug's game in any case.

Another criticism--and one that Mr. Li acknowledged--was the assumption that correlations were constant, not changeable. This is, of course, a hilariously and obviously silly assumption. In the financial world, relationships between, and among, assets are extremely fluid. Abiding by one number is akin to spotting a fish in a swiftly moving stream and going back an hour later to catch it.

There were, in fact, many doubts about the value of the copula. But they were mostly ignored because it provided a handy bridge to connect bankers with a big pot of capital yearning to be invested in the oxymoron high-return, low-risk credit instruments. As Lisa Hess, a New York money manager, says: "The problem with copula investing was a lack of common sense, not the lack of statistical integrity."

Two weeks ago, Allison Schrager, who blogs for The Economist, bravely offered a defense of the copula. Essentially, the argument described it as imperfect but useful: A statistical convenience that reduced a complex relationship into something approximate, yet could provide guidance about risk and return under certain circumstances.

Even this rather mild and intelligent defense provoked a storm of comments--less than half of which were supportive. (Apparently once something appears on the list of evildoers, people don't tolerate much ambiguity.)

As for Mr. Li, he left Wall Street two years ago. In fact, he left the country. He's now back in China working for the China International Capital Corporation Limited. But he's still in business, so to speak. The CICC, according to its Web site, is a full-service investment bank.

Susan Lee has written several books on economics, including a college text. She is an economics commentator for NPR's "Marketplace" and a weekly columnist for Forbes.com."

Monday, April 27, 2009

The program effectively rolls the dice more than 100,000 times by running the information randomly

TO BE NOTED: From Alphaville:

"
Gambling on Monte Carlo simulations

A mathematical model developed by physicists working on the atomic bomb in the 1940s and named after a gambling hub, is probably a fitting one for the US government to adopt in its banking stress tests.

While Friday’s release of the methodology for the tests contained little new on the loan loss assumptions of the exercise (the assumptions about GDP, unemployment and house prices had already been published) there was this bit from the paper:

Analysis of [commercial and industrial] loan loss projections was based on the distribution of exposures by industry and by internal rating provided by the firms. In many cases, these ratings were mapped to default probabilities by the firm; in other cases, this association was established by supervisory analysts. This information was confirmed and supplemented by external measures of risk, such as expected default frequencies from third party vendors. Supervisors evaluated firm loss estimates using a Monte Carlo simulation that projected a distribution of losses by examining otential dispersion around central probabilities of default. The approach produced a consistently‐prepared set of loss estimations across all the BHCs by combining firm‐specific exposure and rating information with standardized assumptions of the performance of similar exposures. The results of this analysis were compared to the firms’ submissions and adjustments made to ensure consistency across BHCs.

Monte Carlo simulations are pretty standard things in finance. They’re used to value not just potential loan losses but also portfolio risk and derivatives.

While there’s no single Monte Carlo method they tend to work like this: Define a domain of possible inputs, generate inputs randomly from the domain, apply some algorithms, then aggregate the results. In playground terms, you can imagine it as a game of battleship. First a player makes some random shots on their opponent’s board. Then they apply the maths (in this case, a battleship is a vertical or horizontal line of four or five dots) and then determine the likely locations of their opponent’s ships.

The good thing about Monte Carlo simulations is that they do well modelling things with lots of uncertainty and complexity in inputs. However, as the above should have suggested, they’re very much limited by their range of actual inputs. This snippet, from a May 2007 Bloomberg article on CDOs and subprime is a perfect illustration.

Because there are so many moving parts to a CDO, rating companies have to assess not only the chance that something may go wrong with one piece but also the possibility that multiple combinations of things could falter. To do that, S&P, Moody’s and Fitch use a mathematical technique called Monte Carlo simulation, named after the Mediterranean gambling city.

The rating companies take all the data they have on a CDO, such as information about specific bonds and securitizations and the remaining types of loans to be purchased for the package.

The firm enters data into a software program, which calculates the probability that a CDO’s assets will default in hypothetical situations of financial and commercial stress. The program effectively rolls the dice more than 100,000 times by running the information randomly.

If the inputs and assumptions are wrong then the Monte Carlo simulations will be of very little use. In that sense they’re very similar to the magic worked by David Li’s Gaussian Copula. They give a false sense of security.

And that’s precisely, some might argue, what the US government is going for with its bank stress tests anyway.

Related links:
Of couples and copulas - Sam Jones, FT
Dual stance on valuing bank securities - FT

Sunday, April 26, 2009

very little evidence to suggest that these contributed in any significant way to the crisis

TO BE NOTED: From the FT:

Warning over UK derivatives backlash

By Jeremy Grant in London

Published: April 26 2009 22:45 | Last updated: April 26 2009 22:45

London’s status as a leading financial centre risks being damaged if policymakers regulate over-the-counter derivatives without distinguishing between products that contributed to the financial crisis and those that did not, a report commissioned by the City of London Corporation says Monday.

The report, prepared by consultancy Bourse Consult, will urge regulators not to “throw the baby out with the bathwater” amid recent calls for OTC – or privately negotiated – derivatives markets to be subjected to greater clearing and regulatory scrutiny.

The warning is evidence of a nascent lobbying campaign by market participants against what they fear could be a regulatory backlash that inflicts collateral damage on London, which Bourse Consult says accounts for 43 per cent of the value of OTC derivatives traded.

This month’s Group of 20 nations summit pledged to “promote the standardisation and resilience of credit derivatives markets, in particular through the establishment of central clearing counterparties subject to effective regulation and supervision”.

The report rejects the assumption that derivatives in general are to blame for the current financial crisis, arguing that critics fail to distinguish between derivatives that functioned normally – such as foreign exchange and interest rate swaps – and collateralised debt obligations and other structured products.

“The credit derivatives, which were traded most heavily on the OTC derivatives markets, were CDS [credit default swaps]. There is very little evidence to suggest that these contributed in any significant way to the crisis,” the report said.

The push by regulators for such instruments to become more transparent had become “a highly politicised issue”.

Wednesday, April 8, 2009

None of this would be sufficient to prevent another crisis, but it’s a good start.

TO BE NOTED: From Reuters:

"Regulatory arbitrage datapoint of the day
Posted by: Felix Salmon
Tags: banking, regulation

capitalcushion.tiff

This chart comes from an excellent new publication by Goldman Sachs, called “Effective Regulation: Avoiding Another Meltdown”. On the left hand side is the amount of capital that a bank would need to have if it had $100 of mortgages on its balance sheet: 5%, or $5. Once it securitizes those mortgages and they become RMBS, however, the capital needed drops to $4.10.

Of the $4.10, 40 cents is comprised of capital provisions against the triple-B tranche of the RMBS. But if the bank then repackages that triple-B tranche into a CDO, that capital requirement drops still further, to 35.5 cents.

In all these cases, the total amount of risk in the bank is unchanged — we’re assuming the bank is just repackaging, here, and not actually selling anything. But just by dint of structuring and repackaging, if you turn a loan into an RMBS and then a CDO, you manage to reduce your capital requirements — and thereby increase your return on equity — substantially.

Goldman has four principles it would like to see implemented so as to avoid a repetition of the current disaster; they all make perfect sense. The first is for regulators to spend a significant amount of time looking at the system as a whole, rather than just the individual institutions within it: one big cause of the current crisis was that while the system could cope with any one institution’s assets going bad, no one realized how high correlations were, and that if one institution’s assets went bad, hundreds of other institutions’ assets would all be going bad as well, all at the same time, with systemically-devastating consequences.

The second principle is simple, and tries to prevent the regulatory arbitrage in the chart above:

Securitized loans should, in aggregate, face the same capital requirements as the underlying loans would if they were held on bank balance sheets.

The third and fourth principles are essentially the converse of the second: if you treat securities like loans, then you should treat loans like securities. That means marking them to market at origination, both in commercial banks and at investment banks.

None of this would be sufficient to prevent another crisis, but it’s a good start. And well done to Goldman for being out in front on this, as far as the banking industry is concerned, even as many other banks are still lobbying for mark-to-market regulation to be repealed."

And:

"As we rebuild the financial system, four things are clear:
1. Capital gluts must be managed, and asset bubbles cannot simply be allowed to
run their course. Regulators have focused on managing risk at the level of institutions,
and have sought to strengthen financial systems against small and local shocks. Major
regulators have largely been successful in this – but in the process, they have
unintentionally increased the system’s vulnerability to global and macro shocks. In the
future, regulators should give stronger focus to macro-prudential supervision. This will
entail greater international information-sharing and cooperation.

2. Securitized loans should, in aggregate, face the same capital requirements as the
underlying loans would if they were held on bank balance sheets. Securitization
would then be driven by a desire to reduce hazardous concentrations of risk, rather
than a desire for capital relief. Regulators should also monitor the quality of the assets
being securitized and the ratings assigned by rating agencies.
3. Lending institutions should be required to mark large loans to market at
origination, forcing symmetry across the recognition of profit and risk. Banks
should not be allowed to defer losses via their commercial banking lines while
recognizing profits immediately in their investment banking units.
4. Lending linked to investment banking activities should be consolidated into the
investment banking arm and subjected to full mark-to-market discipline and all
regulatory and accounting rules that apply to trading assets. This would eliminate
the ability to exploit differences in regulation or accounting. Further, financial
institutions involved in investment banking should be required to have an
independent, appropriately staffed and fully-resourced control group to mark and
manage the resulting risks.
Accordingly:
• All activities associated with investment banking activities, including lending, should
be consolidated within the investment banking unit. This would subject them to the full
discipline of mark-to-market, as well as the capital, leverage and other regulatory
restrictions that apply to “investment banking.”
• Lending institutions that engage in both investment banking and lending with a single
client should be required to mark large loans to market as soon as they are originated.
This would erase the timing arbitrage that currently exists, by forcing banks to
recognize the losses from below-market loans at the same time that they recognize the
associated fee income. This in turn should reduce the incentives for poor lending
practices.
• Securitized assets should have to remain in the investment bank unless sold outside
the holding company entirely.
Whatever the specific form of future regulations, the intent should be to force companies
to treat transactions consistently, regardless of how they are handled, and to impose a
consistent valuation and timing of recognition of profits, losses and risks, regardless of
where the assets are held or how they are structured.
Despite their best efforts in the months ahead, it is unlikely that governments, regulators
and market participants can build a regulatory system so flawless that it can perfectly
manage another influx of capital like the one we have just seen. Accordingly, the best
solution will include finding ways to offset capital imbalances that may occur in the future,
while simultaneously developing a stronger regulatory system that limits the spread of the
damage."

Tuesday, April 7, 2009

Substitute any number for the equity, and the structure still doesn't work, because the underlying collateral is crap.

TO BE NOTED: From Accrued Interest:

"Leverage doesn't kill investors. Bad investments do.

Every one wants to blame the financial crisis on leverage. There was a glib comment on the blog the other day which reflects a common view:

"Sad to see the "cure" for overleveraged, undercollateralized balance sheets to be... more leveraged finance."

No offense to Jonathan intended, as his view probably reflects the majority of opinions among those who follow finance. But I find blaming leverage per se to be a weak argument. Thus I don't see bringing some degree of leverage back into the market as a negative. Furthermore, I don't think that simply blaming leverage will be constructive as we try to construct a regulatory structure to prevent similar meltdowns in the future.

Let's consider the case of a CDO of ABS. To make life simple, we'll assume CDO was constructed from mezzanine bonds from HEL deals. This would be securities similar to the ABX 2007-1 A index, basically the segment of major home equity deals from early 2007 which were originally rated "A."

The HEL deals were structured something like the following (although I'm presenting a simplistic version, the point stands.) I'm assuming $100 million original face, with the underlying mortgages having a 6.75% rate.

  • Senior: 5.75% coupon, $80 million
  • Mezzanine: 6.50% coupon, $15 million
  • Subordinate: 8.00% coupon, $5 million


  • All principal cash flows to the Senior until it is entirely repaid, then to the Mezz, then to the Subs. Interest payments are only made to the mezz and subs if the senior interest obligations have been met. (Don't get hung up on the math right now, it won't be important to my point. If you have questions about ABS and/or CDOs, e-mail me. Accruedint AT gmail.com).

    In a CDO of ABS transaction, the CDO would buy a series of mezz bonds, then repackage them into a similar senior/sub structure. So now let's say we have a $100 million CDO which buys the mezz of 50 different HEL deals, all structured similarly to above.

    The CDO builds its own senior/sub structure as follows:

  • Senior: 5.45% coupon, $80 million
  • Mezz: 6.00% coupon, $12 million
  • Sub: 8.00% coupon, $4 million
  • Equity: $4 million


  • Same deal as above, where the senior gets all principal and interest due before the other pieces. Only once all other classes get their principal and interest does any cash flow accrue to the Equity. One might think of the sub/mezz/senior pieces of the CDO as providing leverage to the Equity. Since the total assets in this deal is $100 million, with equity of $4 million, we have 25x leverage.

    Its easy to see why the CDO of ABS world came crashing down. The ABX 2007-1 A is now trading at $2.5, or a 97.5% loss vs. the original face. So the CDO built on securities similar to ABX would have almost all principal in the deal wiped out entirely. Even the senior most piece of the CDO, which would have been rated AAA originally, would have suffered huge losses.

    But was it the 25x leverage that was the problem? Not at all. Substitute any number for the equity, and the structure still doesn't work, because the underlying collateral is crap. If you are going to try to tell me that leverage caused the meltdown, then you'd need to show me how a different leverage figure would have prevented the problem. Here is an example of a leveraged vehicle that fails at any haircut.

    Now one might say that if the ratings agencies would have required more overcollateralization, these CDOs never would have been created. Perhaps. But again, if leverage isn't the problem with the security, then allowing too much leverage wasn't the ratings agencies' primary mistake. The real problem is that the ratings agencies never considered the binary nature of these structures. If you build a CDO based on all mezz consumer loan ABS, and consumer loans perform poorly, then the whole deal is threatened. We didn't need catastrophic losses on consumer loans to impair the senior-most pieces of these CDOs. Had sub-prime consumer loans suffered a mere 10% loss rate, the CDO would have suffered a 50% loss rate! That would have resulted in the "AAA" rated Senior piece suffering a 30% loss. That isn't acceptable for a AAA-rated asset.

    It isn't like the ratings agencies should have rated these types of CDOs AAA at some lower leverage level. They shouldn't have rated these types of CDOs at all. We talk about toxic legacy assets. These CDOs were toxic from the word go.

    Now consider this. Why didn't the ratings agencies figure that consumer loans could go all go sour at once. Why did they assume that a 10% loss rate was nearly impossible? Or if you want to damn the ratings agencies as mere minions of the investment banks, why were people buying these CDOs? Those investors must also have assumed that the 10% loss rate was nearly impossible. Else they wouldn't have bought the bonds at all. So why was every one so confident?

    We all want to blame some nefarious party, because that would feel better. It is more satisfying to think we were all duped by the evil geniuses on Wall Street. But what if it was as simple as the Fed having succeeded in dampening the business cycle that people started to assume volatility would remain permanently low? What if the fact that previous disturbances that could have had greater contagion (1987 crash, Asian Currency crisis, Russian Debt crisis, LTCM, Y2K, Dot Com bubble, 9/11, etc), didn't. People began to assume the age of crashes was over.

    Now I'd be a fool to say that leverage played no part in the crisis. Clearly financials got over-leveraged. Part of the problem is that with so much leverage, some financials (AIG, Lehman, Bear) didn't have enough time to see if their asset bets would play out. But why they got over-levered was a response to contracting yield spreads. Or put another way, ROA was dropping so in order to get the same ROE you needed more leverage. Spreads were contracting (and thus ROA falling) because there was greater confidence in a more stable economic horizon. As ROA fell, too many fell into a trap of buying poorly constructed securities to get a relatively small amount of extra yield. And before you try to say that no one saw ABS CDOs as riskier, consider that the senior-most ABS deals always yielded 20-30bps more than the senior-most commercial loan-backed CDOs. Every one knew that consumer ABS-backed CDOs were more risky! ( NB DON )

    So ultimately, leveraged investing comes down to picking good assets first, then getting the leverage right. The crisis has been brought on by poor asset decisions more so than too much leverage."

    Wednesday, April 1, 2009

    it appears Hernando De Soto has joined the ranks of economists who demonstrate a complete lack of understanding of the subject area

    TO BE NOTED: From Derivative Dribble:

    "
    How To Speak “Structured Finance” In Uncategorized on March 31, 2009 at 7:20 am

    Also published on the Atlantic Monthly’s Business Channel.

    With all the accusations of excessive speculation on Wall Street, the media has certainly done its fair share of speculation as to what goes on in the structured finance market. And given all the public outrage, this is information the press should should get straight before they report.

    Like every trade, the world of structured finance has developed its own little language describing the things that people in the market do. The first step to understanding that language is building a vocabulary. I would say that most folks in the media have developed to the point where they can identify, point at, and grunt towards objects in the structured finance space. But it’s not just the media that doesn’t understand structured finance. It’s economists, pundits, and perhaps most ironic, financiers! Even that giant of finance, George Soros has loused up explanations of how credit default swaps work. I’ve called out economists in the past for their mumblings on credit default swaps and the like, and so has Megan McArdle. This is a serious problem because economists, finance giants, and the like command a level of authority that my local TV news anchor does not.

    Continuing in the tradition of misinformation, it appears Hernando De Soto has joined the ranks of economists who demonstrate a complete lack of understanding of the subject area. But rather than devote an entire article to bashing an intelligent man, I’ve decided to use the errors in his opinion piece in The Wall Street Journal as the first step in exploring the world of structured finance for those (lucky) folks who have hitherto had little exposure to the area.

    Speaking Structured Finance

    Speaking “Structured Finance” is not as hard as those around you suggest. Sure, these are not ideas and terms you’ve grown up around. But with a bit of reading and thinking, you’ll be the star of your next wine and cheese night. In this article, I provide topical treatment of a wide range of subjects, but provide links for those brave souls who really want to dive in and impress their cheese-eating friends.

    First, Mortgage Backed Securities are not derivatives. To my fellow finance wonks, this may be a trivial observation. But apparently Mr. De Soto was not aware of this distinction:

    [A]ggressive financiers have manufactured what the Bank for International Settlements estimates to be $1 quadrillion worth of new derivatives (mortgage-backed securities, collateralized debt obligations, and credit default swaps) that have flooded the market.

    A Mortgage Backed Security (MBS) is just that, a security and not a derivative. Investors that own MBSs receive regular income from these securities. What distinguishes them from traditional securities, such as corporate bonds, is that the MBS is backed by a pool of mortgages. That is, investors buy MBSs, and as a result, they have a right to the cash flows produced by that pool of mortgages. As the homeowners whose mortgages are in the pool pay off their mortgages, the money gets funneled to and split up among the MBS holders. In effect, MBSs offer investors the opportunity to finance a portion of each mortgage in the pool and receive a portion of the returns on the pool. For more on MBS, go here.

    Similarly, a Collateralized Debt Obligation (CDO) is not a derivative, but a security. It is similar in concept to an MBS, except the pool is not made up of mortgages, but rather various debt instruments, such as corporate bonds. The pool underlying the CDO could be made up of loans, in which case it’s referred to as a Collateralized Loan Obligation (CLO). In general, a CDO has a pool of assets that generate cash. As that cash is generated, it gets funneled to and split up among the investors. For more on CDOs, go here and here.

    A Credit Default Swap (CDS) is a derivative. So De Soto got 1 out of 3. Well then, what’s a derivative? A “derivative” is a bilateral contract where the value of the contract is derived from some other security, derivative, index, or measurable event. For example, a call option to buy common stock is a fairly well known and common derivative. A call option grants the option holder the right (they can do it) but not the obligation to buy common stock at a predetermined price. The person who sold the option has the obligation (they must do it) and not the right to sell common stock at that predetermined price. So the value of a call option that entitles the holder to buy 100 shares of ABC Co. at $10 per share would depend on the current price of ABC’s stock. If ABC is trading above $10, it would be worth something to the holder, a.k.a., “in the money.” If it’s trading below $10, it would be “out of the money.”

    So what are OTC Derivatives? The term “OTC” means “over the counter.” The spirit of the term comes from the fact that OTC Derivatives are not traded on an exchange, but entered into directly between the two parties. “Swaps” are a type of OTC Derivative. And the Interest Rate Swap market is by far the largest corner of the OTC Swap market, despite media protestations as to the size of the CDS market. For more an Interest Rate Swaps, go here.

    Despite the fact that the Interest Rate Swap market is an order of magnitude larger than the CDS market, we will succumb to media pressure and skip right past Interest Rate Swaps and onto the most senselessly notorious OTC Derivative of all: the Credit Default Swap.

    What Did You Just Agree To?

    Under a typical CDS, the protection buyer, B, agrees to make regular payments, usually quarterly, to the protection seller, D. The amount of the quarterly payments, called the swap fee, will be a percentage of the notional amount of their agreement. The term notional amount is simply a label for an amount agreed upon by the parties, the significance of which will become clear as we move on. So what does B get in return for his generosity? That depends on the type of CDS, but for now we will assume that we are dealing with what is called physical delivery. Under physical delivery, if the reference entity defaults, D agrees to (i) accept delivery of certain bonds issued by the reference entity named in the CDS and (ii) pay the notional amount in cash to B. After a default, the agreement terminates and no one makes any more payments. If default never occurs, the agreement terminates on some scheduled date. The reference entity could be any entity that has debt obligations.

    Now let’s fill in some concrete facts to make things less abstract. Let’s assume the reference entity is ABC. And let’s assume that the notional amount is $100 million and that the swap fee is at a rate of 8% per annum, or $2,000,000 per quarter. Finally, assume that B and D executed their agreement on January 1, 2009 and that B made its first payment on April 1, 2009. When July 1, 2009 rolls along, B will make another $2,000,000 payment. This will go on and on for the life of the agreement, unless ABC triggers a default under the CDS. While there are a myriad of ways to trigger a default under a CDS, we consider only the most basic scenario in which a default occurs: ABC fails to make a payment on one of its bonds. If that happens, we switch into D’s obligations under the CDS. As mentioned above, D has to accept delivery of certain bonds issued by ABC (exactly which bonds are acceptable will be determined by the agreement) and in exchange D must pay B $100 million.

    Why Would You Do Such A Thing?

    To answer that, we must first observe that there are two possibilities for B’s state of affairs before ABC’s default: he either (i) owned ABC issued bonds or (ii) he did not. I know, very Zen. Let’s assume that B owned $100 million worth of ABC’s bonds. If ABC defaults, B gives D his bonds and receives his $100 million in principal (the notional amount). If ABC doesn’t default, B pays $2,000,000 per quarter over the life of the agreement and collects his $100 million in principal from the bonds when the bonds mature. So in either case, B gets his principal. As a result, he has fully hedged his principal. So, for anyone who owns the underlying bond, a CDS will allow them to protect the principal on that bond in exchange for sacrificing some of the yield on that bond.

    Now let’s assume that B didn’t own the bond. If ABC defaults, B has to go out and buy $100 million par value of ABC bonds. Because ABC just defaulted, that’s going to cost a lot less than $100 million. Let’s say it costs B $50 million to buy ABC issued bonds with a par value of $100 million. B is going to deliver these bonds to D and receive $100 million. That leaves B with a profit of $50 million. Outstanding. But what if ABC doesn’t default? In that case, B has to pay out $2,000,000 per quarter for the life of the agreement and receives nothing. So, a CDS allows someone who doesn’t own the underlying bond to short the bond.

    So why would D enter into a CDS? Most of the big swap dealers buy and sell protection and pocket the difference. But, D doesn’t have to be a dealer. D could sell protection without entering into an offsetting transaction. In that case, he has gone long on the underlying bond. That is, he has almost the same cash flows as someone who owns the bond. So a CDS allows someone who doesn’t own the bond to gain bond-like credit exposure to the reference entity.

    I will follow this article up with another elaborating further on why derivatives are used and why they are your friends."

    risk appetite dramatically reduced, resulting in larger bid/ask spreads

    TO BE NOTED: From Bloomberg:

    "CDOs Becoming ‘Unmanageable’ as Trading Costs Surge, Fitch Says

    By Neil Unmack

    April 1 (Bloomberg) -- Managers of collateralized debt obligations are struggling to operate the funds because the cost of trading the underlying contracts has soared, according to a report by Fitch Ratings.

    Some CDOs that package credit-default swaps are now “virtually unmanageable” because prices for the contracts have risen so high, Fitch said in the report today. Managers select contracts included in so-called synthetic CDOs, and seek to protect bondholders by trading out of companies that may fail.

    Banks started closing down or scaling back units that bought and sold CDOs last year, Fitch said. That’s increased the spread between bid and offer prices for credit-default swaps that banks left in the market can demand.

    “Those desks that remain in the correlation trading business have seen their allocated capital and risk appetite dramatically reduced, resulting in larger bid/ask spreads,” analysts Manuel Arrive and Lars Jebberg wrote in the report. The lack of market “liquidity” has become “a major hindrance” for managers of CDOs, they wrote.

    The cost of credit-default swaps on the benchmark Markit iTraxx Europe index of investment-grade bonds has risen to almost 180 basis points from about 20 in 2007, according to data compiled by Bloomberg. That means it costs 180,000 euros ($239,000) a year to protect 10 million euros of debt from default for five years compared with 20,000 euros before the credit crisis.

    The contracts used to speculate on corporate creditworthiness and a rise indicates a deterioration in credit quality. CDOs pool bonds, loans or credit-default swaps, channeling their income to investors in layers of differing risk."

    Saturday, March 21, 2009

    “All we did is call for the collateral that was due to us under the contracts,” he said. “So I don’t think there’s any guilt whatsoever.”

    TO BE NOTED: From the NY Times:

    "
    Goldman Insists It Would Have Lost Little if A.I.G. Had Failed

    Hoping to reduce a swirl of speculation over its role in the bailout of the American International Group, Goldman Sachs reiterated Friday that its direct losses would have been minimal if A.I.G. had failed.

    Goldman also described how, as early as July 2007, it began to have “collateral disputes” with A.I.G. as the companies disagreed on the value of the mortgage-backed securities that were the basis of multibillion-dollar contracts between them.

    David A. Viniar, Goldman’s chief financial officer, walked reporters through a thicket of numbers Friday in a conference call that the company held to “clarify certain misperceptions” about its positions with A.I.G.

    While Mr. Viniar acknowledged that Goldman’s relationship with A.I.G. raised what he called a complex set of issues, he was adamant that, because of the collateral Goldman held and hedging trades with third parties, it would not have been damaged directly if A.I.G. had been allowed to collapse.

    Since September, the government has set aside more than $180 billion to support A.I.G., the Government Accountability Office reported.

    A significant part of that money has flowed through A.I.G. to various trading counterparties, many of them large financial institutions, which A.I.G. at first refused to identify.

    Under intense pressure from lawmakers, A.I.G. recently released a list of counterparties, and Goldman was among the largest, accepting $12.9 billion of the insurer’s bailout money. For some, this raised questions about the government’s motivations for not letting the insurance company go into bankruptcy protection.

    Henry M. Paulson Jr., the Treasury secretary at the time of the first A.I.G. bailout, was Goldman’s former chief executive.

    Goldman has said all along that its exposure to A.I.G.’s troubles was immaterial because of outside hedges that would have protected it.

    On Friday’s conference call, Mr. Viniar described how Goldman entered into a large number of trading positions with A.I.G. in 2006 — when, he said, A.I.G. had a high credit rating and “appeared to be a sophisticated trading counterparty.”

    But in 2007, Goldman began to mark down the value of the supersenior collateralized debt obligations that were underlying credit-default swap agreements with A.I.G. He said Goldman and A.I.G. could not agree on how much additional collateral A.I.G. had to supply to reflect the risk. ( NB Don )

    During the negotiations, A.I.G. asked Goldman to accept less than full value for some of the contracts, but Goldman refused, Mr. Viniar said.

    By the time of the A.I.G. bailout in mid-September, he said that Goldman held $7.5 billion in collateral from A.I.G. and had hedged the remaining $2.5 billion of its $10 billion net exposure using credit-default swaps with other parties. Goldman’s overall position with A.I.G., or the “notional” value of the contracts, was about $20 billion, he said.

    After the rescue, Goldman received an additional $2.6 billion in collateral from A.I.G.

    In mid-November, Goldman also sold $5.6 billion in securities related to the swaps at full value to a government-backed vehicle that had been created to help unwind A.I.G.’s ill-fated trades.

    Asked why Goldman accepted full value for the securities, which were valued on the open market at far less, Mr. Viniar said Goldman had a commercial contract with A.I.G. and was “not in a position to take a loss.”

    Accepting a loss it was not required to take would have gone against Goldman’s duty to its shareholders, and, Mr. Viniar added, to taxpayers.

    “Frankly, we also had taxpayer money at Goldman Sachs,” he said, referring to its participation in the Troubled Asset Relief Program, in which the government bought preferred shares in many large banks.

    He said he did not know how large a role Goldman’s collateral calls played in A.I.G.’s near collapse, but he rejected the suggestion that his company might feel guilty about its demands.

    “All we did is call for the collateral that was due to us under the contracts,” he said. “So I don’t think there’s any guilt whatsoever.” ( NB DON )

    Tuesday, March 17, 2009

    a lot of risk that the bank regulators thought had been dispersed into many strong hands ended up in a single weak hand

    From Follow The Money:

    “Concretations of risk, plagued with deadly correlations”

    The FT’s Gillian Tett makes a simple but important point: AIG’s role in the credit default swap market meant that a lot of risk that the bank regulators thought had been dispersed into many strong hands ended up in a single weak hand.

    Tett:

    What is equally striking, however, is the all-encompassing list of names which purchased insurance on mortgage instruments from AIG, via credit derivatives. After all, during the past decade, the theory behind modern financial innovation was that it was spreading credit risk round the system instead of just leaving it concentrated on the balance sheets of banks.

    But the AIG list shows what the fatal flaw in that rhetoric was. On paper, banks ranging from Deutsche Bank to Société Générale to Merrill Lynch have been shedding credit risks on mortgage loans, and much else. Unfortunately, most of those banks have been shedding risks in almost the same way – namely by dumping large chunks on to AIG. Or, to put it another way, what AIG has essentially been doing in the past decade is writing the same type of insurance contract, over and over again, for almost every other player on the street.

    Far from promoting “dispersion” or “diversification”, innovation has ended up producing concentrations of risk, plagued with deadly correlations, too. Hence AIG’s inability to honour its insurance deals to the rest of the financial system, until it was bailed out by US taxpayers.

    If the US creates a “systemic risk” regulator, it should be on the lookout for similar concentrations of risk.

    One other point. The fact that several of AIG’s largest counterparties are European financial firms is by now well known. What is I think less well known is that the expansion of the dollar balance sheets of “European” financial firms — the BIS reports that the dollar-denominated balance sheets of major European financial institutions (UK, Swiss and Eurozone) increased from a little over $2 trillion in 2000 to something like $8 trillion (see the first graph in this report) — played a large role in the US credit boom.

    As the BIS (Baba, McCauley and Ramaswamy) reports, many European banks were growing their dollar balance sheets so quickly that many started to rely heavily on US money market funds for financing. And if an institution is borrowing from US money market funds to buy securitized US mortgage credit, in a lot of ways it is a US bank, or at least a shadow US bank.

    Consequently I think it is possible to think of AIG as the insurer-of-last resort to the United States’ own shadow financial system. That shadow financial system just operated offshore. There was a reason why investors in the UK were buying so many US asset backed securities during the peak years of the credit boom."

    Me:


    1. From A Credit Trader:

      http://www.acredittrader.com/?p=65

      ” * A bank buys CDS protection from an insurance company (wrong-way because credit spreads tend to be correlated suggesting that when the trade is positive mtm to the bank, the insurance co’s credit spread is wider)

      Did you catch that last one? This is what happened with AIG.

      In fact, I would argue that the credit quality of AIG was not just somewhat correlated to the credit quality of the insured CDOs but was in fact 100% correlated, especially in the case that matters i.e. impairment of super-senior tranches. By the time this happens AIG will have gone bankrupt posting collateral and even if it survived up to this point the very high correlation between the super-senior tranches it wrote protection on means AIG would have to pony up an unbelievable amount of cash.

      So, where does that leave us? Making the back-of-the-envelope assumptions above of 100% correlation in credit quality between AIG and its insured CDO as well as zero recovery, the value of protection that investment banks bought was zero. Remember that the correct value of the trade is the risk-free valuation less the credit exposure. In our case, the credit exposure would be equal to the risk-free value of the trade.

      Why did Banks buy Protection from AIG?
      Did the banks realize the value of its protection held against AIG was zero? Of course they did - they aren’t as dumb as the media suggests. The reason they continued to pay the full market CDS offer (rather than a much lower level due to AIG’s massive wrong-wayness) to AIG was because they considered it a cost that allowed them to continue originating CDOs. If they could not offload super-senior risk to someone, their originating desks would be effectively shut down.

      So, while the trading desks continued to buy super-senior protection from AIG, the risk management desks, realizing that the protection was effectively worthless, bought protection on AIG itself from the street and clients in large size. In fact, I would imagine the size they needed to buy was too large and they likely ended up buying puts on the AIG stock or just shorting outright. Let’s hope the Fed unwinds of AIG’s trades took into account the huge gains these banks took on the AIG hedges.

      Onwards and Upwards: the CDS Clearinghouse
      In the better late than never column, market participants are establishing a CDS Clearinghouse whose members will face the clearinghouse on all trades, rather than each other as is the case now. This will help in assigning trades, posting collateral, unwinding trades etc. This will hopefully do away with zero-collateral posting by AAA counterparties, which means that selling protection in massive size will be less of a “free money” trade than before.”

      And Tett:

      “And therein lies an important moral. Notwithstanding the disaster at AIG, the basic idea of using derivatives contracts to share risk is not stupid; on the contrary, risk dispersion remains a sensible idea, if used in a prudent, modest manner.

      But diversification can only occur if potential correlations are monitored – and that oversight can only take place if the business of risk transfer is made as visible as possible. That means that regulators and investors should demand dramatically more disclosure about credit derivatives deals and about their counterparties, too. The type of transparency seen at AIG this week, in other words, is not just badly overdue; it now needs to be replicated on a much bigger scale.”

      I agree with Tett. CDSs and CDOs can be very useful in certain marginal investments. What occurred here was the result of human decisions. I consider them fraud or negligence, while others disagree.