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The Kelly Criterion is an alternative to standard utility theory, which seeks to maximize expected utility. Instead, the Kelly Criterion seeks to maximize expected growth . That is, if we start out with an initial bankroll B0, we seek to maximize E[g(t)], where Bt=B0⋅eg(t). As a simple example, consider the following choice. We can have a sure $3000, or we can take the gamble of a 45 chance of $4000 and a 15 chance of $0. What does Kelly say? Assume we have a current bankroll of B0. After the first choice we have B1=B0+3000, which we can write as E[g(1)]=log(B0+3000B0);for the second choice we have E[g(1)]=45log(B0+4000B0).And so we want to compare log(B0+3000B0) and 45log(B0+4000B0). Exponentiating, we're looking for the positive root of \[{\left({B_0+3000}\...