World Cup Forecasting Challenge For Quants
databuff writes "As a break from projecting the strength of subprime mortgages, credit default swaps, and other obscure financial instruments, quantitative analysts at Goldman Sachs, JP Morgan, UBS, and Danske Bank have modeled the 2010 FIFA World Cup. Now Kaggle has set up a forecasting competition, allowing statisticians to go head-to-head with these corporate giants. The challenge is to predict how far each country will progress in the tournament."
For somebody falling to the ground clutching their leg long enough to get a card thrown?
I mean, the financial market is still a mess and I'd rather have them working on the real issues we face. Or is this a quick glance at what actually always goes on at those companies? Are they nothing more than professional gamblers and don't care about their responsabilities?
For the record, quants rarely try to predict things in the market. That's left to people who work in econometrics. The main job that a quant does is to price financial instruments in a way that is consistent with the market prices of other liquidly traded assets. I'm being deliberately vague about what precisely is meant by "consistent" because that often depends on the choice of model, but there are also model-free results which require certain asset prices to obey certain relations: put-call parity, for example.
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Worse than that, JP Morgan picked Slovenia to finish fourth. Ahead of teams like Germany and Slovenia.
...that's basically how credit default swaps work.
<spam>If you think you're good at this sort of thing, you might want to join the free online prediction game I run. There's a US$50k prize up for grabs, if you're better than these guys...</spam>
(Yeah it's spammy, but check my account ID - it's not like I just signed up recently or anything)
Paranoia isn't an infectious condition, it's a way of life
I've written an online Markov Chain Monte Carlo simulator where people can experiment with pairwise team predictions in order to not just predict tournament winners, but more interestingly, to evaluate the most profitable expected payoffs from current betting odds (which are almost never the most likely teams to win). The page goes into the statistical basis of Markov Chain Monte Carlo (MCMC) quite a bit, and the simulation is all done client-side using javascript. Might be interesting for those who like this kind of stuff. http://www.donationcoder.com/wcp
I recommend Terry Pratchett's book 'Making Money'. One "quant" essentially created a glass model of economy which was so good, that he moved some money by manually moving liquids inside. It looks like our quants are beginning to have such influence on current economy.
Extreme Programming - Redundant Array of Inexpensive Developers
Of course, the two groups (Quants & those who play (& succeed) at fantasy football) are not mutually exclusive.