Yesterday, a week after Societe Generale disclosed a $7.2 billion loss by a single rogue trader, Bank of France chairman Christian Noyer declared to a French senate finance committee, “None of the controls within Societe Generale seem to have worked as they should have.”
But beyond the evident failure of internal control technologies lie wider vulnerabilities in the global financial system. It is possible that the deeds of 31-year-old Jerome Kerviel at Societe Generale triggered global stock sell-offs, says Andrew Lo, director of MIT’s Laboratory for Financial Engineering. And that points to widening systemic risk in ever more complex financial markets.
Technology Review: First, what do we know about the failures of those Societe Generale controls?
Andrew Lo: They are still trying to piece together the different methods he used, but apparently, it was his intimate knowledge of Societe Generale’s systems infrastructure that allowed him to circumvent various controls. From news reports, it appears he was able to access internal financial databases and not only alter the stated holdings of the accounts he was trading, but was also able to circumvent the checks and reconciliation processes that were put into place to make sure these were accurate. Apparently, the standard reconciliation processes did run, but he was able to alter the records both before and after these processes ran so as to avoid detection and maintain his portfolio.
TR: Can’t we just build better software and other technologies to prevent a recurrence?
AL: Yes, but anytime there is an interface between technology and human behavior, you open yourself up to the potential for fraud. Systems don’t build themselves: humans program them. A big event like this happens every so often, and then people say, “Gee, we have to spend more time and money to improve our systems,” and the systems become safer. Once the systems become safer, we get lulled into a false sense of security and complacency. And eventually, we experience a rude awakening when the next disaster strikes. I would argue that it is impossible to prevent these disasters with 100 percent certainty.
TR: Okay, so bad things will happen. I take it you are mainly concerned about the ripple effect when they do?
AL: Exactly. The financial system as a whole is getting more complex. Financial institutions rely on ever more elaborate systems architecture and electronic communications across different counterparties and sectors. The number of parties involved, the nature of transactions, the volume of transactions as the market grows–taken together, the dynamics among these aspects of financial markets imply that the complexity is growing exponentially. No single human can comprehend that complexity. And as the system grows more complex, it is a well-known phenomenon that the probability of some kind of shock spreading through the system increases as well. Systemic shocks become more likely. Today, we are looking at some significant exposure to relatively rare events.
TR: In what way was the Societe Generale matter such a shock?
AL: One natural hypothesis is that the global sell-off that happened early last week was a direct outcome of Societe Generale’s unwinding of these rogue trades. We don’t have any conclusive evidence yet, but it’s not an outlandish conjecture given the circumstances surrounding the massive fraud that was allegedly committed. According to Societe Generale, the problem was discovered on Saturday [January 19], and the firm began unwinding their portfolio at the first possible opportunity. If it turns out that this “unwind” was on the scale of a billion dollars or more, it is plausible that the unwind itself triggered the global sell-off–first in Asia, then in Europe, and then in the U.S.
TR: So one person, in this case Mr. Kerviel, can move the entire global financial system.
AL: It’s a larger-scale version of what happened in August of 2007–in particular, August 7, 8, and 9. A large number of quantitative equity hedge funds lost money on those dates simultaneously, yet there is no market event that you can point to that can explain why these funds lost money at the same time. But looking at circumstantial evidence, we [at MIT] pieced together a story that one large quantitative equity fund decided to unwind its portfolio, for reasons we don’t know for sure, but which we conjecture to be related to credit problems from the subprime mortgage market. Because the conjectured liquidation involved a big fund that needed to be liquidated quickly, this implies that the impact of the liquidation on other similarly positioned quantitative equity funds would be negative–and large. You get a snowball effect. Everybody is heading for the exit door at the same time, and you get a crash. But in August 2007, it was not a crash of the market as a whole, but of portfolios that are similarly structured to the fund that started the snowball.
TR: So how can we mitigate these kinds of wider risks?
AL: Probably the best way to reduce the impact of systemic shocks is to provide investors with some transparency as to their likelihood and severity, and let the investors decide how much risk to bear. This is probably best accomplished by creating a government organization like the National Transportation Safety Board, charged with the mandate of analyzing every financial blowup or crisis and producing publicly available reports that describe the nature of the crisis, the circumstances leading up to it, and proposed methods for avoiding such incidents in the future. In the same way that the NTSB has improved the safety of air travel by sifting through the wreckage of every airplane crash and publishing a detailed study of its findings and recommendations, a Capital Markets Safety Board would give investors more insight into the risks of any given investment. Over time, the aggregate information produced by the CMSB would shed additional light on the nature of systemic risks for the entire global financial system.
How a Russian cyberwar in Ukraine could ripple out globally
Soldiers and tanks may care about national borders. Cyber doesn't.
Meet Altos Labs, Silicon Valley’s latest wild bet on living forever
Funders of a deep-pocketed new "rejuvenation" startup are said to include Jeff Bezos and Yuri Milner.
A horrifying new AI app swaps women into porn videos with a click
Deepfake researchers have long feared the day this would arrive.
Meta’s new learning algorithm can teach AI to multi-task
The single technique for teaching neural networks multiple skills is a step towards general-purpose AI.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.