论文标题

凯利标准:从简单的随机步行到莱维过程

Kelly Criterion: From a Simple Random Walk to Lévy Processes

论文作者

Lototsky, Sergey, Pollok, Austin

论文摘要

原始的凯利(Kelly)标准提供了一种策略,以最大限度地提高奖金的长期增长,以一系列简单的伯努利(Bernoulli)投注,即,当每个赌注的预期回报率是正面的时,赢得了奖金。这项工作的目的是考虑更多的回报模型以及这些模型的连续时间或高频限制。

The original Kelly criterion provides a strategy to maximize the long-term growth of winnings in a sequence of simple Bernoulli bets with an edge, that is, when the expected return on each bet is positive. The objective of this work is to consider more general models of returns and the continuous time, or high frequency, limits of those models.

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