Did those people at AIG not understand anything about financial risk?

The Washington Post‘s series on AIG Financial Products, the mostly independent derivatives operation that brought the downfall of the insurance giant, is among the best of the many tales of collapse being recounted in newspapers these days. A passage at the beginning of today’s second installment (part one is here) was especially appalling/compelling:

For months, several executives at AIG Financial Products had pulled apart the data, looking for flaws in the logic. In phone calls and e-mails, at meetings and on their trading floor, they kept asking themselves in early 1998: Could this be right? What are we missing?

Their debate centered on a consultant’s computer model and a new kind of contract known as a credit-default swap. For a fee, the firm essentially would insure a company’s corporate debt in case of default. The model showed that these swaps could be a moneymaker for the decade-old firm and its parent, insurance giant AIG, with a 99.85 percent chance of never having to pay out.

The computer model was based on years of historical data about the ups and downs of corporate debt, essentially the bonds that corporations sell to finance their operations. As AIG’s top executives and Tom Savage, the 48-year-old Financial Products president, understood the model’s projections, the U.S. economy would have to disintegrate into a full-blown depression to trigger the succession of events that would require Financial Products to cover defaults

Yeah, everything’s much easier to see with hindsight, but there are just so many red flags here:

First, that absurdly precise 99.85% figure. One can’t know from the article how the number was presented to AIG executives, or how seriously they took it. Defenders of quantitative finance such as Eric Falkenstein often make the case that the quants who churn out such numbers are well aware of their limitations. But the subsequent actions of both AIG Financial Products and AIG’s top brass would seem to indicate that they took this particular risk assessment to the bank.

Second, the part about the U.S. economy having to “disintegrate into a full-blown depression” for the credit-default swaps AIG was selling to become big money-losers. I was talking a couple of weeks ago to an executive from another big insurance company that thought about getting into selling CDSes but opted against it. Its risk managers also concluded that it would take a systemic financial collapse for the CDS business to go sour. But for them that was a reason to avoid it. Insurance works financially when it protects people from smallish events that occur randomly—like fire, or burglary, or death. The business turns problematic when it gets into regional debacles like hurricanes and earthquakes, and completely untenable when it faces a global or even national disaster. That’s why property insurance policies often include “Act of God” clauses that give the insurer an out in case of earthquake or meteor strike or Rapture. It would have been interesting if AIG had tried to sell credit default swaps with such a clause—we’ll pay up unless credit markets totally fall apart. It didn’t, so it was essentially running a scam. In the situation that market participants most needed insurance against, AIG wouldn’t be able to provide it. At least not without a couple hundred billion in U.S. government aid.

Finally, there’s the apparent disregard for the impact that AIG’s CDS sales, and the growth of the CDS market in general, would have on loan quality. It retrospect, it seems clear that buying credit default swaps allowed many lenders to believe that they could safely lower lending standards—because they’d outsourced the risk to somebody else. That rendered AIG’s historical risk models completely useless. If something like this had never happened before, AIG’s failure to take it into account might be excusable. But consider this tale from an earlier financial insurance pioneer (nabbed from the manuscript of my forthcoming book):

Hayne Leland could see, almost from the moment portfolio insurance popped into his head in the den of his Berkeley house, that there was a catch. The option-pricing formulas upon which he based the strategy depended on the portfolio insurer being a price taker. That is, prices were set by the “pervasive forces” of the market. The actions of an individual market participant were presumed to have no impact at all.

If Leland’s idea hit it big enough, he realized, the actions taken by portfolio insurers trying to cut their clients’ losses during a market swoon might drive prices down even more. “But I honestly thought, ‘How long would it take and how big would we have to become before our trades affected the market as a whole?’” Leland recalled. “It turns out it was only seven years.”

Update Here’s part three of the Post AIG series, with the verdict from Gerry Pasciucco, who was brought in by current AIG management to clean up the mess:

But Pasciucco soon found evidence of a fatal miscalculation. It seems that as Financial Products ramped up its credit-default swap business, its leaders assumed that its parent, AIG, would always be as strong as it was the day it backed the firm’s first big trade in 1987. He said they had failed to prepare for the possibility of a downgrade in AIG’s credit rating.

The executives who had pushed or approved the credit-default swap business had placed too much faith in the math that told them the worst would never happen, that AIG and its deep pockets would be there to usher them through the trouble.

“When the unexpected happens and you have the biggest credit crisis since 1929, you have to be prepared to deal with it, and they weren’t,” Pasciucco said. “There was no system in place to account for the fact that the company might not be a Triple A forever.”

Related Topics: Economy & Policy
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  • banzai7

    It is amazing that taxpayers have wound up holding the AIG bag. The idiots that allowed this to happen should be watching Jefferson reruns and cartoon channel with Bernie Madoff.

  • plukasiak

    In AIG’s defense, it should be noted that the CDS’s originally under consideration were all AAA corporate bonds as opposed to mortgage backed securities. When one adds the fact that the ratings agencies were not doing their jobs when it came to the “bundled” mortgage backed securities, its no one that AIG got into trouble eventually… but it wasn’t the original CDSs themselves that were the problem.

  • curmudgeon57

    In IT we have a saying – GIGO – garbage in, garbage out. Your models are only as good as the assumptions built into them, and the data used to run them. And people tend to forget that they are only models, and instead treat them as Truth.

  • creeping

    Does anyone not understand the threat of selling products based on Islamic sharia law? Did TIME magazine purposely not mention the fact that there is a lawsuit challenging tax payer money being used to promote Islamic sharia law by AIG?

    just search: Paulson, Fed sued over AIG sharia bailout

  • bryanfromhouston

    Curm,
    -
    You are right about GIGO. But I don’t think this was that sort of a case. I imagine that if I had been an exec the 98% number and the computer models would have been fairly convincing. Correspondingly, the risk of the occurrence taking place seems rather low at around 1%. What they failed to appreciate is just what the resultant outcome would be if the improbable actually occurred. That was the great error.
    -
    In all things, one should ask what is the worst that can happen (even if it is highly improbable) so that they have accurately examined the holistic situation. Numbers alone will never tell you that!
    -
    As Sir Authur Conan Doyle once said, “When you have eliminated the impossible, whatever remains, however improbable, must be the truth. It is stupidity rather than courage to refuse to recognize danger when it is close upon you.”
    -
    Just as the risks of arriving safely by air travel have been greatly diminished, one would never hope into the cockpit to fly an aircraft that has been thoroughly checked out and for which every possible situation that can be accounted for is reasonably acted upon, the financial geniuses failed to do likewise. As a science guy (chemist), now lawyer, I understand why scientists begin to feel as if they have discovered the truth, found the cure or have developed an answer. It is their certainty and belief which can make them so dangerous. A healthy skepticism breeds a healthy confidence. Anthing beyond that is a foolish arrogance and faith in limited knowledge.

  • rfromr

    The whole thing is pathetic, but you can’t single out AIG (I don’t say that to defend them, but merely to underscore how widespread the problem is). I was in the investment business for over 20 years, and I saw this kind of thing over and over — from portfolio insurance to foreign bonds to hedge funds. The common ingredients are usually:

    - A consultant was involved. Investment consultants have done more than any other segment of the population to ruin the retirement system of this country.
    - There was a blind faith in backward-looking data. This type of data is inherently limited, but those limitations are increased when relatively short time periods are used and, as you point out in your example, when an explosion of participation in a product renders all prior data meaningless.
    - No one wanted to rock the boat in an up market. An investment culture that has made a fetish out of quarterly earnings reports doesn’t want to hear about long-term risks.
    - The regulators were sadly over-matched. I never worked in the insurance business, but I saw a series of regular SEC audits, and I imagine it is the same thing. You know who is hired to do those audits? Kids fresh out of school. As soon as those kids reach puberty, they parley their regulatory experience into higher-paying jobs at law or accounting firms.

    Keep up the cynicism and the insight — and in particular, save plenty of both in reserve for the next time there is a roaring bull market and everything seems to be running smoothly.

  • http://sueannedwards.wordpress.com Sue Ann Edwards

    Just like did everyone who invested in stocks realize they were taking a risk? Profits are ONLY realized after sales, not before. Before actual sales, profits are merely wishes.

    Just like did everyone living on a credit based economy realize that there is a difference between potential and realized?

    Amazing, sell our future into debt WILLINGLY, through LACK of physical and emotional self discipline, then whine like “victims”.

  • http://www.inmyhands.ca;http://www.torontoeventmassage.ca knotty back hero

    I don’t think most people gave it a second thought. Just the way most people never gave their credit card debt a second thought. Credit was easy to get, easy to use, just like cash no? The way I see it folks are all in this mess together, the government, finacial institutions & just plain folks. I’ve never heard of folks being ‘forced’ to apply for & use their credit cards. Everyone should be working responsibly together to get it resolved.

  • Ffred

    I agree with knotty back, but one can’t help feeling a bit resentful about bailed out execs going to lavish retreats and granting themselves bonuses; although when it comes to that, how are they any different from Congress?

  • dumdedumdum

    bryanfromhouston, the number is 99.85%, not 98%, and as the following paragraph from the article states (“As AIG’s top executives and Tom Savage, the 48-year-old Financial Products president, understood the model’s projections, the U.S. economy would have to disintegrate into a full-blown depression to trigger the succession of events that would require Financial Products to cover defaults”), those involved in the decision did understand the nature of the “we have to pay out” outcome. I will grant that saying those words — “full blown depression” — may be materially different from really understanding and appreciating them (in fact, those words may make 0.15% seem even more unlikely than it is quantitatively). But I’m not sure how much of the remainder of your comment survives this misapprehension of the article’s content.

    What struck me about the article is the generic ease with which the writers tossed about the words “derivative” and “regulation”/ “not regulated” (and variants as appropriate). In fact, the details of the derivatives matter for understanding the transactions and the outcomes and not all or even most derivatives were instrumental in what came about (and even then, it was not only the structure of the derivatives that mattered, but also the shoddy or deceptive information used to value them). Also, how regulation is designed matters — in particular, how specific would regulations have to have been to have prevented what eventually came about? It seems easy to design the desired regulations after the fact, but what’s hard is getting them right ahead of time (in which case, you never know that you have dodged a bullet!)

  • curmudgeon57

    @dumdedumdum: It still seems to me like the models were wrong. In particular, it appears that they never took into account how the environment for risk would change as more risk was taken on. There are statistical techniques for handling probabilities that change as the state defining the assumptions change, and from what I’ve read this doesn’t seem to have happened.
    -
    Alternatively, of course, maybe the models did do that, but no one paid any attention after the initial decision was made. In either case, it was an unconscionable lapse by those who were getting paid enormous sums of money to know better.

  • dumdedumdum

    @curm — Could be (about the models being wrong), but I’ve never quite understood how one could ex post infer that, based on things having turned out bad in a single “run of the experiment” (also known as “recent history”), the estimates of the likelihood of a bad outcome were in error. An analogy — it’s hard to infer that a coin is biased based on one flip.

    It may be that the models poorly represented the compounding effects of bad outcomes for particular assets or parties and of growing volumes of activity in particular types of investments or securities — that is, things may have been more correlated than the common assumptions of statistical independence imply. This may be what you are talking about in your first paragraph.

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