Goldman Sachs Punked? The Case of the Stolen Proprietary Algorithm


A case of financial espionage raises questions about Wall Street’s proprietary trading practices and exactly what role they play in the market. The perpetrator of the espionage, Sergei Aleynikov, is a former computer programmer and equity specialist at Goldman Sachs. He is alleged to have downloaded secret software at Goldman that is used to direct large volume, rapid-fire trades to exchanges and commodity markets, often just before the close of regular trading.

At a bail hearing for Aleynikov, now in custody in New York, U.S. Assistant District Attorney Joseph Facciponti said Goldman Sachs stands to lose millions of dollars from its proprietary trading based on the stolen software. Moreover, if others in the market obtain access to these trading secrets, “there is a danger that somebody who knew how to use this program could use it to manipulate markets in unfair ways,” according to Facciponti.

This naturally raises several questions about the software and the trading algorithms incorporated in the program. What do these algorithms do, and how do we know that Goldman Sachs isn’t already using the software “to manipulate markets in unfair ways”?

The algorithms fall under the category of “quantitative trading”, created by “quants” who are often Ph.D’s in the hard sciences or mathematics. Many of them are like Aleynikov, a Russian émigré and former student of applied mathematics in Moscow, who was earning $400,000 a year and left Goldman Sachs to take a job in Chicago that he described paid three times as much. Quantitative trading is only possible in the modern marketplace because so much trading is now electronically based, sent to the exchange by computers, and often without any human intervention beforehand. In the first quarter of this year, it is estimated that over 25% of all New York Stock Exchange trades were computer generated, dwarfing the volume of trades sent in by individual investors.

Quantitative trading algorithms can perform many functions, but one of the principal things they do is research many thousands of stock, bond, foreign exchange and commodity prices in search of anomalies that can be exploited for profit. The algorithm carries an historical data base that reveals typical relationships between or among financial assets. The relationship between, for example, crude oil for three months vs. six months delivery falls into a certain statistical distribution, or to use another case, transportation stocks may trade inversely to energy stocks (as the price of oil goes up, energy stocks go up but transportation stocks go down).

If the algorithm finds that a price relationship is currently trading well beyond its typical range, the computer will shoot off trading instructions to buy and sell the respective financial assets in anticipation of a return of this trading relationship to normal conditions. Since these anomalies are expected to be short-lived, the computer algorithm is required to monitor the market real time and send out follow-up instructions, often by the end of the day, to close out the position and take profit (or cut the firm’s loss if the trade did not go as planned).

This sort of quantitative trading seems to be one of the features of the Goldman program, and Mr. Aleynikov is being accused of downloading this program to an outside computer so he could bring it to his new firm and use it for trading there. But there could be many other types of quantitative trading, some of it “directional” in nature, wherein the algorithm is searching for a financial asset or market that is overbought or oversold and likely to reverse direction. These types of algorithms often compare current prices to a five, thirty, and fifty day moving average of prices for that asset or market, and if the current price violates one of these averages, a buy or sell order will be generated. These programs are so prolific that many individual investors follow these moving averages as well, and “pile on” to the computer trades once an average is violated.

The main criticism of these program trades is that they become self-fulfilling in at least two ways. First, the sheer volume submitted by a firm like Goldman Sachs starts moving the market back to the direction desired by the firm. As such, it sends a signal to the market that a directional change is occurring, and this tends to attract others to the trade, adding to the self-fulfilling nature of what Goldman initiated in the first place. Second, when such trades are done publicly, many individual investors join in and create the momentum necessary for Goldman to profit. Goldman need not publicize its intentions (in fact it operates with intense secrecy), but if it uses something like a moving average strategy that is monitored by tends of thousands of firms and investors, the trade can easily become self-fulfilling.

This is a polite way of describing computer algorithm trades, but less politely, it can be said that firms like Goldman Sachs bully their way to profitability. Their volume is so huge that they become the 800 pound gorilla which dominates the market. There is nothing especially proprietary about their computer algorithm under such circumstances, if large volume can more often than not compel the market to move in a particular direction.

The US district attorney suggests that Goldman did in fact own a proprietary model and it will be harmed if this computer algorithm reaches the public. Presumably, other investors could trade before Goldman initiates its trades (front running). It may also be the case that Goldman has indeed found the Holy Grail – the secret behind how the markets work that allows one to create eternal profits as long as the secret is maintained. Thirty years ago a small group of traders noticed the stock market tends to trade in nine day cycles, after which it reverses direction, or based on certain rules these traders discovered, resets and travels in the same direction for another nine days. This secret provided profitable trading until more and more people learned about it; now it is widely known and used, and seems to work more than 50% of the time, but can now lose you money if you are not careful.

Goldman may have latched onto a secret such as this, the efficacy of which becomes diluted over time as others learn about it. This may be what it wants to protect. It may also be doing its own form of front running. It processes so many proprietary trades for investors that it must have a good institutional sense of the buying and selling pressure in the market. By harnessing this information across its customer base, it can take directional trades as the market does, before it becomes evident to the investing public what is happening. Tying its computer algorithms into its customer data base might generate significant profitable trades, especially since its customer base includes so many major hedge funds which dominate the market.

If you are of a conspiratorial bent, you might assume that Goldman Sachs is operating at least on occasion for the fabled Plunge Protection Team, a cadre of top government officials like Treasury Secretary Geithner and Fed Chairman Bernanke, who purportedly use government money to prop up the stock market or other markets. The PPT really does exist – it is mandated by a regulatory act – but whether it secretly operates to prop up the stock market is certainly questionable. If it did, we can at least say that Goldman Sachs would be the most logical candidate for the government to use.

One of the most famous theories on Wall Street is the Random Walk theory propagated by Burton Malkiel, who has asserted that it is impossible to make speculative profits trading equities because Wall Street prices move randomly. No one can predict a truly random market. This theory has achieved great credibility because of the considerable anecdotal support it receives. Anyone who has invested in a mutual fund or listened to a Wall Street broker knows that these “experts” seem to be right 50% of the time. In fact, these experts tell you not to invest short term because the randomness of prices will kill you.

The U.S. government is telling us something different, through Assistant District Attorney Facciponti. Random Walk may well be the situation facing such investors as you and me, but it is not the case for select insiders such as Goldman Sachs. In the first quarter alone, they generated $2 billion in trading profits just from equities trading. They may have access to inside information, or they may have discovered the Holy Grail of markets, or they may have sophisticated proprietary algorithms, or they can simply bully their way to profits. Whatever the answer, they will profit in good markets and bad markets. Life is anything but random for them.

When someone like Mr. Aleynikov interferes with their exclusive and very profitable and very non-random situation, he deserves to go to jail. Nothing should stand in the way of Goldman Sachs profiting from a market that benefits no one else.

Which brings us back to the suspicious statement that if someone other than Goldman Sachs were to have access to this software, they could “manipulate markets in unfair ways.” This is opposed to Goldman Sachs, which is using the program to manipulate markets, but somehow their manipulation is fair. At least so thinks the U.S. government, but it is very unlikely the average investor agrees. The performance of the global equity markets in 2008 was atrocious, but worse still – investors have nothing to show for their investments now going back to 1999.

A decade of waste, or worse if you were among the many millions who borrowed against your home or traded up to a house that you can no longer afford. All during this time, one firm at least has prospered. It now dominates a stock market in which at least a quarter of the trades are unrelated to the buying and selling of stocks as long term investments. It has seen many of its traditional rivals such as Merrill Lynch, Lehman Brothers and Bear Stearns disappear. It routinely shuffles its executives back and forth to high positions in the government. Should anyone trample on its prerogatives, even if it is a foolish individual, it can bring the full weight and majesty of the federal government to bear on the transgressor. While Goldman Sachs thrives, and the rest of us pay the price for their profitability and extraordinary bonuses, is anyone – anyone at all – asking whatever happened to free markets as the linchpin of a capitalist economy?


Numerian July 7, 2009 - 4:49pm

Cryptogon.com teased me with a post on a torrent for the 49MB file - but it was just a lil spoof as far as I know (plus a troll for spotting hits from the smarmy bastards, as well, haha). As noted by Numerian & also the awesome Zero Hedge blog, the attorneys are all agreeing that this code can be used to create market manipulation. (some legal docs are on that site now)

Between that and the Taibbi Rolling Stone eviscerating, these professional American Psycho sociopaths are gettin kicked down a notch.

I've got an angle to the Russian Wall Street quant scene (rlly!) so I'll check in and see if it's around. Hehehe.

Another theory was that this thing counts upon some proprietary programming language called Slang - i found some funny stuff on Slashdot abt people complaining its a dumb language to learn, as a dead-end for learning. etc. However slashdotters made the case you could still glean the value of the juicy algorithms from the code, even if you couldn't execute it.

Taibbi says that Wall Street & Goldman are setting up the big carbon market hustle as the Next Ripoff Bubble, and I would be really interested in hearing Numerian's take on Taibbi's shot at it. Personally, I already purchased CarbonMarketSucks.com because its value can only go up!
--
Hongpong.com

HongPong July 7, 2009 - 5:23pm

Green investing and the carbon tax market are supposed to be the next Big Thing in the stock market, leading maybe to the next bubble. The problem is that serious reform efforts to combat global warming strike deeply at the capitalist model, since many solutions involve the government working cross border with other governments. Not much room for the profit motive there.

Business wants to control this process so that government actions impinge on corporate profits as little as possible. To the extent solutions are left in the hands of corporations, they will not be serious solutions, just a bit of working around the edges of the problem.

Goldman will need to make a flourishing trading market out of something corporations wish to control and keep as minimal as possible, and therein lies a contradiction. Goldman is probably well aware of this contradiction and is hoping for the best, because what else is there? They have exhausted the tech bubble, and now the housing bubble, and they are close to exhausting the capacity of the American taxpayer to support the federal government's debt binge. They are running out of assets to exploit and taxing power to tap into. That leaves desperate ideas like efforts to form a carbon tax market.

Numerian July 7, 2009 - 9:09pm
Joaquin July 7, 2009 - 5:23pm

It is good to see others are coming to the obvious conclusion: if someone can use the GS program for unfair manipulation, how is Goldman's use of this program anything other than manipulation as well, and what makes it fair?

Numerian July 7, 2009 - 9:11pm

You mean some body else but Goldman Sachs could use it to manipulate markets in unfair ways? Oh the horrors!

quax July 7, 2009 - 5:40pm

... your posting till the end before commenting. After all you make the same point.

quax July 7, 2009 - 5:46pm

And that would be Goldman Sachs. Where is my pitchfork?

Joaquin July 7, 2009 - 7:19pm

A significant subset of all trading activity, since program trading involves orders to buy or sell shares of at least 15 stocks. Often this activity relates to trading an index in order to duplicate the performance of a market or sector of the market.

Still, GS is a huge part of program trading, and the trading they submit for their own speculative purposes, not for customers, is much larger than any other firm.

Numerian July 7, 2009 - 8:40pm

How does one test an automated trading system? Especially one that changes the market (momentum trading comes to mind). At 25% of trading volume Goldman's must affect the market, because sometimes Goldman's trading will be 100% of the market (it will be the market).

Software is hard to test; it's easy to write - almost impossible to write correctly, hence the testing part. I don't believe in the "magic computer trading program" shibboleth, outside of data analysis.

My Sister was a stockbroker on the LSE, and I came to the early conclusion that trading was an insiders game, based on early inside knowledge, before I understood that insider trading is bad.

Corporations normally react like this not because of any potential loss, or great algorithms, but because they are really scared that stupid (negligent) deeds on their part will become exposed, especially as the management don't really understand what their staff was and is doing.

Synoia July 7, 2009 - 7:32pm

The algorithm must be set up to constantly update and check the data base against the performance of the model: are trades reverting back to the mean and is profit within the margin of error defined by the model?

I should note quite a lot of quant funds blew up in 2008. The spreads did not revert to normal as quickly as anticipated in many trades, and the losses were also much larger than predicted by the models. Several funds went out of business.

It may not be correct to say that quantitative trading has come roaring back, but we can say that the way Goldman does it is much more consistently profitable than most anybody else. That may mean the statistical randomness implied in these models is eliminated in the GS models because they know or see things no one else does.

Numerian July 7, 2009 - 8:49pm

All these models will blow up eventually.

We've already discussed them in a prior thread and their inability to work through large exogenous events.

Eventually the statistical fluctuations hit a strange attractor, and the market state changes abruptly.

As an aside, the models success will lead to complacency, instead of heightened awareness that their success is running out. A form of feedback based on the non-linear humans.

Testing on the back market only works is the actions taken as a result of the model do not alter the market. One is just looking for triggers from the algorithms, and decisions based on the trading position (long or short).

Synoia July 7, 2009 - 9:34pm

Did you see today that John Meriwether of LTCM fame has shut down his London fund? How many big failures does one guy get to have? First there was his Salomon debacle, than LTCM's collapse, and now several of his hedge funds have been forced to shut down due to poor performance.

Given all that, I wouldn't be surprised to read he is starting up yet another fund and has been able to attract billions from new investors.

Numerian July 7, 2009 - 9:57pm

Those in the Club. They never get punished for failure.

I find it interesting that Wall St said Bernide Madooff could never have produced his returns honestly, and anytning more than 10% anually is unachievable. Then they go on to sell their skills than they can actually product more than 10% annually.

Synoia July 7, 2009 - 10:06pm

All these models will blow up eventually.

Without exogenous events, if the model is right, it will degenerate to noise.

If the model is wrong, there will be a market full of LTCM type hedge funds which cry that prices are irrational.


--Sell Texas to China!

Singular July 8, 2009 - 3:11am

I agree, with a caveat. Noise is not eventual, it's added at the input.

The market data is already a noisy signal. Noise is random statistical events added to a signal (data stream).

Are these people are trying to do statistical analysis on noise? No they are too smart for that.

They could be creating momentum (rate of increase or decrease in a stock prices), and knowing the case of the momentum (themselves), taking advantage of the momentum.

Or, they are front running large orders,

Or, they have a early view of news from a company, and are trading ahead of the news.

Or something else which is not quite as illegal as these three.

Synoia July 8, 2009 - 12:42pm

Or, they have a early view of news from a company, and are trading ahead of the news.

Those news are often available from legal or semi-legal alternative sources. The company itself will delay publishing the news. That can be done "legally" too: "We were not sure, figures were not accurate ..."

Analyzing those sources is the job of buy side analysts.

Much of the US market action during the last spring was because of illegal insider information flowing from Washington. Of course the crime gang called SEC was not interested. It seems that Washington even devised one trap to those trading insider rumors.

The job of SEC is to secure that only right people have access to insider information. And do some occasional show business to convince public that this is not the case.

When right people are badly on the wrong side of the market, White House and SEC stop trading. This has happened multiple times but not every year as far as I know.


--Sell Texas to China!

Singular July 9, 2009 - 7:23am

At least 2/3 of US equity trading is automatic.

trading was an insiders game, based on early inside knowledge

Based on trading desk insider bullshit rumors? Case of GE bullshit here. The job of the sell-side analysts and financial press is to guide the public and dumb money managers on the losing side of the trade.

I occasionally post where I think the loser's side trap stands. And I always get counterarguments based on sell-side crap or financial entertainment.

It is much easier to find a consistent liar than a consistent truth-teller in the markets. Warning: Most of the "information" is noise and entertainment like Cramer.

How do all those financial sites which do not have enough ads make money? By writing entertainment to attract readers and then inserting some poisonous tips which are paid.


--Sell Texas to China!

Singular July 8, 2009 - 3:37am

There is a difference between automatic and automated in my mind.

Automatic is set up to buy or sell at some predetermined price.

Automated is run data through a bunch of algorithms and automatically buy and sell stocks based on analysis of the data stream.

Automated brings to mind some truisms of computer and programming.

1. To err is human, to really screw up use a computer,
2. Computer don't make mistakes, they just repeat your endlessly.

Yes I'd believe a majority of transactions are automatic. Automated? Not yet. When and if transactions are automated we'll hear about really gargantuan losses (twice of three times the worlds' GDP), blamed on a "computer error".

Synoia July 8, 2009 - 12:49pm

200 trades in a day is much for a high frequency trader. So from where do all those market orders originate then? Why is everything insanely correlated? Why do exchanges provide < 5 ms response times?

Bots read even news and react to them.

Automated is run data through a bunch of algorithms and automatically buy and sell stocks based on analysis of the data stream.

Whatever. I wrote earlier that in short time frames stupid algorithms work too.


--Sell Texas to China!

Singular July 9, 2009 - 7:04am

High Frequency Trading (trading limited by the speed of light) is supposed to execute dumb algorithms. That's what Renaissance Technology does. They just keep on finding more dumb stuff, which works in 15 minute time frames.

I've got an impression that the algorithms described by Numerian are used in longer time frames, days.

I guess that the defense of the programmer will say that GS didn't own the code in the first place, because it was partially stolen.

Bullying works until others learn to predict it. I have seen last minute price fixing with huge volume. It worked until one bank decided to cash its shitload against the bully.

Bullying at options expiration might still work in the USA. I have never heard that SEC had been interested in this well-known market manipulation. But you know now what they are in SEC.

This programmer was caught quickly compared to Madoff - LOL.


--Sell Texas to China!

Singular July 8, 2009 - 3:01am

Here's the thread on this Wilmott forum site - I haven't really heard of it before, but it seems to be one spot where things are cookin'.
http://www.wilmott.com/messageview.cfm?catid=16&threadid=59857

BTW also my Russia/quant angle didn't pan out, this time! :)
Slashdot thread on GS I referenced earlier. sorry for latelinx

--
Hongpong.com

HongPong July 8, 2009 - 11:44am

That Wilmot thread is amazing.

C++ A good language? Rapidly evolving?

Please.

Synoia July 8, 2009 - 12:59pm

this is teh funnay!! via teh dailykos:

...GS, through access to the system as a result of their special gov't perks, was/is able to read the data on trades before it's committed, and place their own buys or sells accordingly in that brief moment, thus allowing them to essentially steal buttloads of money every day from the rest of the punters world.

Two things come out of this:

1. If true, this should be highly illegal, and would, in any sane country result in something like what happened to Arthur Andersen...

(2. ... is way off point....)

this is straight up automated frontrunning the trades. i was wondering when the hell people would start to look @ this kind of thing. All speculative of course, but so damned obvious. Dennicker Market Ticker was spazzing, etc etc. good times!!

more of the speculation. who is proppin up these oil future ripoffs lately??

The last few days the the market has traded "organically." I and many other market participants have noted that prior to the week before July 4th the market had been acting "very odd" - normal correlations between interest rate, foreign exchange the the stock markets had been on "tilt" for the previous couple of months, with the amount of "tiltage" increasing dramatically in the last three or four weeks. In fact, many of my usual indicators that I use for daytrading had become completely useless. Suddenly, just before the July 4the weekend, everything started correlating normally again. I have no explanation for this "light-switch" change but it aligned almost exactly with the day the NYSE had "computer problems" and extended trading by 15 minutes. Was there a configuration change made to their networking infrastructure, one asks?
Zerohedge's information, if you believe it, seems to point toward some sort of distortion. The cite above claims statistically "as likely as an asteroid hitting earth it is not true" proof of distortion in the market. I have not analyzed the data to independently validate that conclusion, but even if the odds of these "effects" in the market being random chance are only as good as getting hit by a tornado this afternoon......
Calling all numerians to gut check this one....

Har freeekin har from dennicker:

Every market participant deserves answers on this point. Specifically to the NYSE and all other markets where colocation connections are made and allowed:
Was it possible for message traffic to be "seen" by computers on your network and colocated into your infrastructure by other than the originator and recipient? That is, was it physically possible for anyone to "sniff" messages to and from other market participants.
If it was possible, is it no longer possible, and if so, when was that change made?
I believe the SEC and FBI must direct a subpoena at all market exchanges for an under-oath answer to question #1. If the answer to that question is "yes" then every market participant who had or has equipment colocated on the NYSE infrastructure must be immediately served with a subpoena for a true and complete copy of all software operating on every machine connected to said infrastructure for immediate forensic investigation to ascertain if any participants were indeed "sniffing" traffic and front-running orders.

If we recall, one of Bernie Madoff's pursuers suspected Madoff was frontrunning because he was able to "make the market" for NASDAQ to some extent. The early warning he sent to FEC said it was either frontrunning or Ponzi. With Madoff the big elements were Ponzi. However Goldman may finally get caught frontrunning!!! hahaha wouldn't that be a huge laugh! Lets visit Harry Markapolos again PDF:

In less than four hours I knew I had proved mathematically that BM was a fraud and so Ithen furthered my analysis and developed two alternate fraud hypotheses to explain what mightbe happening. Fraud hypothesis 1 was that BM was simply a Ponzi scheme and the returns werefictional. Fraud hypothesis 2 was that the returns were real but they were being illegallygenerated by front-running Madoff Securities broker/dealer order flow and the split-strikeconversion strategy was a mere "front" or "cover." Either way, BM was committing a fraud andshould go to prison.

So it was case A. If GS = B then I get a cookie!! Watch ur candles!
(It's almost as funny as yet another grizzled top military professional knocking down the official 911 story :-D )
--
Hongpong.com

HongPong July 8, 2009 - 7:47pm

...believe in remote viewing.

“The absence of any US-Iran bilateral channel...may have the perverse effect of reinforcing Iranian interest in progressing in the nuclear realm so that the US will be forced to take it seriously and engage it directly." ~ Richard Haass

JustPlainDave July 9, 2009 - 10:36pm

really funny primary documents to prove that this has not always been true (if indeed it's true today). Operation Stargate et al files are out there...
--
Hongpong.com

HongPong July 10, 2009 - 12:48pm

...and even wore stars on their jolly jumpers who believe in this horseshit, but not "top military professionals" - it's a Venn diagram where the circles don't intersect. You want to call them "professionals" because they told you something juicy you wanted to hear, hey, have a great time with that - however, my advice (not, I hope, that there's a great risk that you'll need it) would be not to stake your life on a label so casually dispensed.

“Bet your life on the guy who told you the mundane, unpleasant thing you really didn't want to hear." ~ JustPlainDave on living longer in the profession of arms

JustPlainDave July 10, 2009 - 4:16pm

...for you and your company to hold position until overrun in order to cover the battle group's withdrawal.

“The absence of any US-Iran bilateral channel...may have the perverse effect of reinforcing Iranian interest in progressing in the nuclear realm so that the US will be forced to take it seriously and engage it directly." ~ Richard Haass

JustPlainDave July 10, 2009 - 4:37pm

or anyone else who would like to respond:

Having read a great deal over the years about our corporate and financial world, from the S&L debacle through the housing bubble, there is one thing (at least) that I still have difficulty grasping: off balance sheet entities, the most recent of which are SIVs.

My understanding is that SIVs are basically shell corporations spun off by a bank or other financial entity, partly subsidized, via, for example, a credit line, by the "parent" entity. The SIV seeks to raise money at low interest rates by issuing commercial paper and then invest the money in what used to be, in our delusional past, very low-risk securities (CDOs, etc.) with very high yields.

As I understand it, SIVs from "reputable" entities could always find buyers of commercial paper because of the high credit rating of both the entity and the securities being purchased with the funds raised by commercial paper. Of course, there was always risk in the short term nature of commercial paper versus the long term nature of the purchased securities, but that's another issue. Given that one of the functions of the SIVs was to keep transactions off the balance sheet of the sponsoring entity, what I don't really understanding is the legal and accounting mechanics that enable a corporation to set up this type of shell, whether it's an Enronian "special purpose entity," an SIV, or a conduit. How do the assets and liabilities of these shells stay off of the income statements and balance sheets of the "parent" that is ultimately benefiting from (or getting damaged by) the shells? I may be missing something really simple in finance and accounting but would appreciate any illumination on this subject.

Aguilar July 8, 2009 - 8:31pm

Looking at the bank SIVs, which are the ones with which I am familiar, the question you pose is a delicate legal and accounting one. The SIV has to be legally distinct from the parent bank and ownership and control are expected to be remote. The SIV is supposed to be an independent corporation which buys long term assets such as mortgages or auto loans, bundles hundreds together into a security, and then sells the security on to investors. The SIV funds itself by issuing commercial paper in its name.

The bank that sets up the SIV must show evidence that it does not control the SIV. The SIV employees are separate from bank employees and in some cases there is an independent board of directors set up. The SIV needs to raise funds in its own name without a bank guarantee, and it can buy assets from anybody, not just the bank which set it up. The SIV is responsible for getting these assets rated by Moody's or S&P before selling them to investors. To protect itself from a liquidity crisis, the SIV arranges for liquidity lines of credit from banks, starting with the founding bank. On this basis, the SIV is considered sufficiently removed from the bank that it is not consolidated on the bank's books except as a minority interest.

This is the theoretical structure that allowed SIVs to remain off balance sheet. They became not just important, but essential vehicles to allow banks to expand their business without expanding their balance sheets, thereby avoiding costly capital necessary to process new loans. The SIVs themselves had very modest capital because they were considered conduits, merely passing paper on to investors. These investors were often mutual or hedge funds which were not under the supervision of bank regulators, so their capital could remain minimal as well.

What was the reality? The employees of SIVs, and their board members, were all employees of the bank. Their careers ultimately were back in the bank and their bonuses and pay were set by bank management. The assets they bought were almost exclusively from their bank, so they were essentially used as parking lots for new business so that it could be securitized and sold to investors. Their line of credit was usually solely from the bank, and many SIVs were set up just to securitize a particular group of assets the bank wanted off the balance sheet. The regulators and ratings agencies turned a blind eye to these realities, as did the accountants, who continued to believe the fiction that SIVs were independent.

Lots of things went wrong for SIVs in 2008. The value of the assets sold as securities fell below the value of the commercial paper raised for funding, causing the SIV to fall into technical insolvency. The cash flow generated by the assets also collapsed, leaving the SIV with a liquidity crisis and forcing it to borrow under its line of credit from the bank. The Aaa ratings on the paper that was issued were downgraded severely by the agencies once they realized their model was wrong in assuming housing values never went down. The commercial paper market completely dried up for all SIVs and their bank sponsors could not raise enough cash to fund them, so they had to turn to the Fed and programs like the TARP. It became obvious that the SIV model was dead - Jamie Dimon of Chase said as much - so by the end of last year banks were being forced to close down their SIVs and move the assets back on to their balance sheet. This is one major contributor to the recapitalization required of the industry, and it has severely hurt some of them like Citigroup.

Starting in the 1990s but especially this decade, SIVs were the main method banks used to grow their loan portfolios. It was free growth - no capital needed - because the loans could be placed with the SIV awaiting packaging as a security for investors. This permitted an explosion in housing, auto, credit card and other loans, because not only was capital no longer a constraint, credit controls disappeared (it was the problem of the investor, theoretically, and anyway these were all Aaa securities).

It is really surprising that everybody fell for this ruse. No regulator or accounting firm questioned the set-up. No one complained about the obvious fact that the SIVs acted entirely as creatures of the banks which set them up. No one got to the core problem you mention, which is the ability of the banks to set up entities they still controlled, but also count the assets as off the balance sheet.

The SIVs are what are called the parallel or shadow banking system. With their demise the banking industry has lost the ability to make loans at the pace of the past ten years. This ability is not coming back, so we can anticipate living in a world of 1990's credit available for quite some time. No wonder our economy is facing a liquidity crisis and global recession.

Numerian July 8, 2009 - 10:04pm

for taking the time for such a detailed and informative response. While I was aware of the developments associated with the demise of SIVs (along with all the toxic acronyms), I had yet to see as lucid an explanation as yours of how they worked in practice (and I've read probably thousands of pages from more sources than I can count about the credit crisis, most recently Gillian Tett's "Fool's Gold," which, as you probably know, focuses on JP Morgan's role in financial "innovation").

Just another reason why I'm so glad I registered with the Agonist.

Aguilar July 9, 2009 - 7:54pm

Goldman Sachs engineered every major market manipulation since the Great Depression

Preamble: In Rolling Stone Issue 1082-83, Matt Taibbi takes on "the Wall Street Bubble Mafia"—investment bank Goldman Sachs. The piece has generated controversy, with Goldman Sachs firing back that Taibbi's piece is "an hysterical compilation of conspiracy theories" and a spokesman adding, "We reject the assertion that we are inflators of bubbles and profiteers in busts, and we are painfully conscious of the importance in being a force for good." Taibbi shot back: "Goldman has its alumni pushing its views from the pulpit of the U.S. Treasury, the NYSE, the World Bank, and numerous other important posts; it also has former players fronting major TV shows. They have the ear of the president if they want it." Here, now, are excerpts from Matt Taibbi's piece and video of Taibbi exploring the key issues.

------

How would anyone be able to prosecute Goldman Sachs when the company is so intertwined with government officials? An Insider Trading trial could last a decade! L0L

canuck July 10, 2009 - 1:25am

This stock recommendation arrives ½ year too late. You should have bought when Warren Buffett invested more in GS. It was completely public information, especially if you didn't believe in "Warren Buffett has gone mad" scams in financial press.

I've written many times that usually you'll be screwed if you believe in financial press. Matt Taibbi doesn't get even internet bubble essentially right. Probably he doesn't know it. Obviously he is paid for his ranting by words.

GS & SP 500.


--Sell Texas to China!

Singular July 11, 2009 - 6:02am

True Slant (Taibblog), By Matt Taibbi, July 30

So you can see why Goldman alums sometimes don’t do very impressively once they leave Goldman. They find themselves in positions where no one questions their premises and it’s hard to get good feedback and pushback. (This is why Paulson employed telephone banks of analysts to call Wall Street to solicit opinions.) Outside of the Goldman womb of debate and ideas, bankers and traders lack perspective. You might say that no Goldman is an island.

via Will Everyone Please Shut Up About Goldman Sachs? | The Big Money.

And the winner of this month’s Most Retarded Horseshit Written In Defense of Goldman Sachs award goes to… Heidi Moore at Big Money! Come on down, Heidi!

This stuff is just getting funnier and funnier. Now that both Michael Lewis and Joe Hagan at New York have piled on and hammered the “magical” Wall Street bank’s reputation, the tearful, wounded apologies on the bank’s behalf are trickling in with some more urgency, especially now that, as Moore puts it, the bank faces the specter of “disastrously populist” hearings in the Senate for (and Moore left out this part) selling crap mortgages while shorting them at the same time.


They sicken of the calm, who knew the storm.

Raja August 2, 2009 - 1:40pm

EOM

canuck July 10, 2009 - 1:29am

Comment viewing options

Select your preferred way to display the comments and click "Save settings" to activate your changes.