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How to gamble against all odds

Peretz, Ron and Bavly, Gilad (2014) How to gamble against all odds. Games and Economic Behavior. ISSN 0899-8256 (Submitted)

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A decision maker observes the evolving state of the world while constantly trying to predict the next state given the history of past states. The ability to benefit from such predictions depends not only on the ability to recognize patters in history, but also on the range of actions available to the decision maker. We assume there are two possible states of the world. The decision maker is a gambler who has to bet a certain amount of money on the bits of an announced binary sequence of states. If he makes a correct prediction he wins his wager, otherwise he loses it. We compare the power of betting strategies (aka martingales) whose wagers take values in different sets of reals. A martingale whose wagers take values in a set A is called an A-martingale. A set of reals B anticipates a set A, if for every A-martingale there is a countable set of B-martingales, such that on every binary sequence on which the A- martingale gains an infinite amount at least one of the B-martingales gains an infinite amount, too. We show that for two important classes of pairs of sets A and B, B anticipates A if and only if the closure of B contains r A, for some positive r. One class is when A is bounded and B is bounded away from zero; the other class is when B is well ordered (has no left-accumulation points). Our results generalize several recent results in algorithmic randomness and answer a question posed by Chalcraft et al. (2012).

Item Type: Article
Official URL:
Additional Information: © 2014 Elsevier Inc.
Divisions: Mathematics
Subjects: Q Science > QA Mathematics
JEL classification: C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C72 - Noncooperative Games
C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C73 - Stochastic and Dynamic Games; Evolutionary Games; Repeated Games
Date Deposited: 25 Sep 2014 13:54
Last Modified: 08 Sep 2021 23:13
Projects: 538/11 and 323/13, 2010253.
Funders: ISF, BSF

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