Quant funds, which make up about 7% of the hedge fund universe, were caught in the market volatility and in order to raise cash, started to sell stocks–causing unusual stock price movements and throwing additional quant models off. The selling snowballed into a full market panic.
Peter Morici, an economics professor at the University of Maryland noted,
You create a mathematical herd. That’s why so often these schemes based on math models end in tears.
“The quest for the holy grail goes on [...] people will continue to try to beat the market using quantitative models and the latest technology,” according to Randal E. Bryant, Dean of the School of Computer Science at Carnegie Mellon.
There are more than 20 computational finance master programs in the US and just this past month alone, NYU and Carnegie Mellon minted about 100 new quants. Love ‘em or hate ‘em, there is consensus that funds need to improve their modeling. Carnegie Mellon’s Bryant said his graduates from 2007 commanded a mean base salary of $96,000, with an large majority getting signing bonuses that averaged $37,000.
What sorts of quant are there?
(1) Front oce/desk quant
(2) Model validating quant
(3) Research quant
(4) Quant developer
(5) Statistical arbitrage quant
(6) Capital quant
A desk quant implements pricing models directly used by traders.
Main plusses close to the money and opportunities to move into trading.
Minuses can be stressful and depending on the outt may not involve
much research.
A model validation quant independently implements pricing models
in order to check that front oce models are correct. Plusses more
relaxed, less stressful. Minusses model validation teams can be unin-
spired and far from the money.
Research quant tries to invent new pricing approaches and sometimes
carries out blue-sky research. Plusses it’s interesting and you learn a
lot more. Minusses sometimes hard to justify your existence.
Quant developer { a gloried programmer but well-paid and easier
to nd a job. This sort of job can vary a lot. It could be coding scripts
quickly all the time, or working on a large system debugging someone
else’s code.
Statistical arbitrage quant, works on nding patterns in data to sug-
gest automated trades. The techniques are quite dierent from those in
What sorts of quant are there?
- Front office/desk quant
- Model validating quant
- Research quant
- Quant developer
- Statistical arbitrage quant
- Capital quant
A desk quant implements pricing models directly used by traders. A model validation quant independently implements pricing models in order to check that front oce models are correct. Research quant tries to invent new pricing approaches and sometimes carries out blue-sky research. Quant developer { a gloried programmer but well-paid and easier to find a job. Statistical arbitrage quant, works on finding patterns in data to suggest automated trades. This sort of job is most commonly found in hedge funds. The return on this type of position is highly volatile! A capital quant works on modelling the bank’s credit exposures and capital requirements. This is less sexy than derivatives pricing but is becoming more and more important with the advent of the Basel II banking accord.
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