By James Kwak
I spent the past two days at a financial regulation conference in Washington (where I saw more BlackBerries than I have seen in years—can’t lawyers and lobbyists afford decent phones?). In his remarks on the final panel, Frank Partnoy mentioned something I missed when it came out a few weeks ago: the role of Microsoft Excel in the “London Whale” trading debacle.
The issue is described in the appendix to JPMorgan’s internal investigative task force’s report. To summarize: JPMorgan’s Chief Investment Office needed a new value-at-risk (VaR) model for the synthetic credit portfolio (the one that blew up) and assigned a quantitative whiz (“a London-based quantitative expert, mathematician and model developer” who previously worked at a company that built analytical models) to create it. The new model “operated through a series of Excel spreadsheets, which had to be completed manually, by a process of copying and pasting data from one spreadsheet to another.” The internal Model Review Group identified this problem as well as a few others, but approved the model, while saying that it should be automated and another significant flaw should be fixed.** After the London Whale trade blew up, the Model Review Group discovered that the model had not been automated and found several other errors. Most spectacularly,
“After subtracting the old rate from the new rate, the spreadsheet divided by their sum instead of their average, as the modeler had intended. This error likely had the effect of muting volatility by a factor of two and of lowering the VaR . . .”
Can You Say “Bubble”?
By James Kwak
Yesterday’s Wall Street Journal had an article titled “Foosball over Finance” about how people in finance have been switching to technology startups, for all the predictable reasons: The long hours in finance. “Technology is collaborative. In finance, it’s the opposite.” “The prospect of ‘building something new.’” Jeans. Foosball tables. Or, in the most un-self-conscious, over-engineered, revealing turn of phrase: “The opportunity of my generation did not seem to be in finance.”
We have seen this before. Remember Startup.com? That film documented the travails of a banker who left Goldman to start an online company that would revolutionize the delivery of local government services. It failed, but not before burning through tens of millions of dollars of funding. There was a time, right around 1999, when every second-year associate wanted to bail out of Wall Street and work for an Internet company.
The things that differentiate technology from banking are always the same: the hours (they’re not quite as bad), the work environment, “building something new,” the dress code, and so on. They haven’t changed in the last few years. The only thing that changes are the relative prospects of working in the two industries—or, more importantly, perceptions of those relative prospects.
Wall Street has always attracted a particular kind of person: ambitious but unfocused, interested in success more than any achievements in particular, convinced (not entirely without reason) that they can do anything, and motivated by money largely as a signifier of personal distinction. If those people want to work for technology startups, that means two things. First, they think they can amass more of the tokens of success in technology than in finance.
Second—since these are the some of the most conservative, trend-following people that exist—it means they’re buying at the top.
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Tagged culture, technology