Kelly Criterion For Sport Betting
chestergrant.posterous.com
chestergrant.posterous.com
Holy cow was it tough; the warners aren't kidding that it requires a strong stomach. Even with small edges it asks you to bet what feels like an impossibly large fraction of your portfolio.
For instance with your President example where the true odds are 60% and you're being offered even odds, after 100 such bets, following Kelly, you've got over a 15% chance of being behind.
Yes; I thought I had an edge because I had read a bunch of cognitive bias materials and I had calibrated myself with the usual quizzes and through things like registering hundreds of predictions on PredictionBook.com (http://predictionbook.com/users/gwern) and that sort of thing, but in all honesty, the overall number of independent discrete bets I made on the IEM and Intrade was low enough that I probably just got lucky.
The problem with Kelly [2] and even fractional Kelly (unless the fraction is very small, then your problem is extremely slow growth) is that it is a long term strategy and it is very sensitive to your estimates. It can be dominated by other strategies in the short term or for those who seek different risk properties (prefer lots of small wins and want less volatility).
[1] page 19 of http://www.pitt.edu/~sorc/trade/files/RiskManagement/kelly.p...
[2] http://www.edwardothorp.com/sitebuildercontent/sitebuilderfi...
As pointed out in jane.pdf, and also be Ed Thorp elsewhere, betting with the Kelly criterion requires large amounts of capital. The reason is simple; there is a real chance of going broke if you start out near 0. This can be countered by playing a fractional Kelly strategy, where you bet Kelly, but only on a fraction of your bankroll.
The book's web site is here - http://home.williampoundstone.net/Kelly/Kelly.html
A simple explanation of the Kelly criterion is that if you have an edge (ie bet $5 and win $6 on a fair coin toss) you should bet edge / odds. The edge in this example is 0.1 (50% * -1 + 50% * 1.2), the odds are even money 1:1. The Kelly bet would be 10% (the edge) / 1 (the even money odds) = 10% of your bankroll. (corrected)
If you bet 0 each time, the expected growth rate is 0, if you bet 100% each time, the expected growth rate is 0, because eventually you will lose your whole bankroll.
10% is big enough to matter, but not so big that a losing streak will eventually decimate your bankroll.
If memory serves, when you bet the Kelly amount, you have a 1-p probability of eventually experiencing a p drawdown, ie if you have $10, you have a 10% chance of ever getting as low as $1 before resuming the expected long-run growth rate. (which would be the edge (10%) * the bet (10%) = 1% of your bankroll per betting round)
Been a while since I tried to understand this, if I screwed it up hopefully someone will correct me.
[edit] Actually, it looks like a borked latex doc, perhaps?
If not, you can just treat it as borked LaTeX, because that is what it is.
I think there is a typo in the formula that follows "In this case our random variable is log(X). So we get:". On the third line, an n is missing after E(log(X)).
I have to actually figure out one of these betting site APIs and try to do it some day.