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Example of the optimal Kelly betting fraction, versus expected return of other fractional bets. In probability theory, the Kelly criterion (or Kelly strategy or Kelly bet) is a formula for sizing a sequence of bets by maximizing the long-term expected value of the logarithm of wealth, which is equivalent to maximizing the long-term expected geometric growth rate.
In probability theory, Proebsting's paradox is an argument that appears to show that the Kelly criterion can lead to ruin. Although it can be resolved mathematically, it raises some interesting issues about the practical application of Kelly, especially in investing. It was named and first discussed by Edward O. Thorp in 2008. [1]
Kelly betting or proportional betting is an application of information theory to investing and gambling. Its discoverer was John Larry Kelly, Jr. Part of Kelly's insight was to have the gambler maximize the expectation of the logarithm of his capital, rather than the expected profit from each bet. This is important, since in the latter case ...
The typical commission on an Ohio home sale is 6%, according to Clever Real Estate. That's significantly higher than most other countries, such as the U.K. (1.3%), the Netherlands (2%), Germany ...
John Larry Kelly Jr. (December 26, 1923 – March 18, 1965), was an American scientist who worked at Bell Labs. From a "system he'd developed to analyze information transmitted over networks," from Claude Shannon's earlier work on information theory , he is best known for his 1956 work in creating the Kelly criterion formula.
The Kelly criterion assumes that only one bet is available during each time period, and maximizes the growth over time by using that one opportunity to its fullest. If however multiple bets are available at any given time, that run in parallel and whose outcomes are not completely correlated, then it makes sense to distribute a smaller amount ...
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