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."
They're Americans, they're most likely not football fans to begin with!
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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