Quote from gbos:
The formula he used is correct. Its equivalent with the one you wrote.
The problem with the âhighâ 0.6 result is in the input data and the simplification of the problem. Letâs take a slightly different and more realistic assumption and see if Kelly formula gives unreasonable results.
(Probability of success) 79% ⦠wining 1R
(Probability of failure) 19% ⦠losing -1R
(Probability of something going seriously wrong) 2% ⦠losing -5R
The problem is almost equivalent with the one of the OP but now a third option is added. Kelly formula becomes a little more complicated than the previous 2-case one but the result now is 0.15 instead of 0.60.
So itâs not that the formula gives unreasonable results, itâs that by taking the 2-case win/lose approach we ignore black swans etc. and it is those events that govern the calculation of the optimal risk fraction. First step to calculate a meaningful Kelly fraction is define your worst case scenario and add it to your calculations.