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Multistep Bayesian Strategy in Coin-Tossing Games and Its Application to Asset Trading Games in Continuous Time

机译:投币游戏中的多步贝叶斯策略及其在连续时间资产交易中的应用

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摘要

We study multistep Bayesian betting strategies in coin-tossing games in the framework of game-theoretic probability of Shafer and Vovk [12]. We show that by a countable mixture of these strategies, a gambler or an investor can exploit arbitrary patterns of deviations of nature's moves from independent Bernoulli trials. We then apply our scheme to asset trading games in continuous time and derive the exponential growth rate of the investor's capital when the variation exponent of the asset price path deviates from two.
机译:我们在Shafer和Vovk的博弈论概率框架内研究投币游戏中的多步贝叶斯博弈策略。我们证明,通过这些策略的无数混合,赌徒或投资者可以利用自然行为偏离独立伯努利试验的任意模式。然后,我们将该方案连续地应用于资产交易游戏,并在资产价格路径的变化指数偏离两个时得出投资者资本的指数增长率。

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