|
From Kelly's original paper:
Now the gambler could bet his entire capital each time, and in fact this would maximize the expected value of his capital.
And a bit further down...
One might still argue that the gambler should bet all his money in order to maximize his expected win after N times. It is surely true that if the game were to be stopped after N bets the answer to this question would depend on the relative values (to the gambler) of being broke or possessing a fortune. If we compare the fate of two gamblers, however, playing a nonterminating game,the one which uses the value [equal to the player's edge in the game] will, with probability 1, eventually get ahead and stay ahead of one using any other [value].
http://www.racing.saratoga.ny.us/kelly.pdf
Note that, after 10000 bets, there is a finite probability of being (close to) broke using almost any betting rate that is nonzero. As the betting rate increases, the expectation does as well, but the distribution of results becomes more skewed. To illustrate, I ran 1000 trials using a rate of 2% and a rate of 4%. At 2%, the player never went broke (which you defined as less than $1) although there were 18 finishes below $100. At 4%, the player went broke 42 times but on average finshed with over 10x as much money (over 700K vs. 64K). Of further interest: At 4%, there were 507 finishes where the player's bankroll decreased compared to 151 at 2%. At 4%, there were 42 finishes above $1,000,000 compared to 7 at 2%.
What's optimal depends on your perspective. A professional gambler would never accept the 4% results, while a recreation gambler would likely much prefer the 4% results.
Fun problem, Toasty!
|