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Ear to the Ground

Geek Love Endures on Wall Street

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Posted on Mar 9, 2009
Wall Street signs
Rob Young

Despite the apparent reality that it’s not possible to precisely quantify everything under the sun, particularly when it comes to human behavior, the worrisome trend of “quants”—experts from physics and other scientific fields—infiltrating Wall Street firms to apply their skills to the stock market is still in effect.

The New York Times:

This flood seems to be continuing, unabated by the ongoing economic collapse in this country and abroad. Last fall students filled a giant classroom at M.I.T. to overflowing for an evening workshop called “So You Want to Be a Quant.” Some quants analyze the stock market. Others churn out the computer models that analyze otherwise unmeasurable risks and profits of arcane deals, or run their own hedge funds and sift through vast universes of data for the slight disparities that can give them an edge.

Still others have opened an academic front, using complexity theory or artificial intelligence to better understand the behavior of humans in markets. In December the physics Web site arXiv.org, where physicists post their papers, added a section for papers on finance. Submissions on subjects like “the superstatistics of labor productivity” and “stochastic volatility models” have been streaming in.

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By Wall Street Trader, October 23, 2009 at 5:37 pm Link to this comment
(Unregistered commenter)

Would be very interesting to hear and be apart of whats goes on in the classrooms at MIT about Wall Street. I can only imagine how they are cooking up some ideas on how to cash in on the markets and would love to hear some other people ideas on whats going on.

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By felicity, March 10, 2009 at 10:39 am Link to this comment

Let’s hope someone posts in every quant meeting room that “in theory, theory and practice are the same thing, but in practice they’re not.”

And directly beneath it?  “the market is flawed because all human constructs are flawed.”

(Economics, markets…is not a science; it’s more like an offshoot of psychology.)

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Eric L. Prentis's avatar

By Eric L. Prentis, March 10, 2009 at 7:51 am Link to this comment

I have already commented on why Prof. Taleb’s black swan critique of quantitative risk models, while real, is superficial, rather, the primary concern should focus on the efficient market hypothesis (EMH) as an underlying theory of financial models, go to the link below for more information:
http://www.theastuteinvestor.citymax.com/page/page/1425688.htm

However, financial risk modeling has an interesting almost haphazard history which further complicates bank “stress testing” ongoing today. Harry Markowitz, the father of modern portfolio theory, for which he received a Nobel Prize in Economics in 1990, in his 1952 paper in “The Journal of Finance” assumed market efficiency, because his entire theory relied on stock prices being random variables, and a normal distribution to model stock returns because mean and variance would then be the only two measures that investors need consider. Mean, is desirable, and equated to “expected return” and variance of return, is undesirable, and assumed to adequately model “ risky-ness of the investment.” Markowitz never explained why variance/standard deviation measures of price volatility should be a good proxy for the “risk of loss,” although academe readily accepted it.

Warren Buffett criticized using volatility measures for risk measurements because that precludes knowing anything about the company’s intrinsic value. A company’s stock which is highly volatile would be considered mean-variance risky, however, if that same company had a very high intrinsic value and the stock price dropped to the low of its range, Buffett would then rightly consider the company to be a buy and a relatively risk-less purchase. Buffett’s explanation is logical while Markowitz has a mathematical solution in search of a problem, or as Yves Smith would say, “computational convenience trumped empirical findings.”

Eric L. Prentis is the author of “The Astute Investor” and “The Astute Speculator.”

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