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  • 标题:Game-Theoretic Derivation of Discrete Distributions and Discrete Pricing Formulas
  • 本地全文:下载
  • 作者:Akimichi Takemura ; Taiji Suzuki
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2007
  • 卷号:37
  • 期号:1
  • 页码:87-104
  • DOI:10.14490/jjss.37.87
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:In this expository paper, we illustrate the generality of the game-theoretic probability protocols of Shafer and Vovk (2001) in finite-horizon discrete games. By restricting ourselves to finite-horizon discrete games, we can explicitly describe how discrete distributions with finite support and discrete pricing formulas, such as the Cox-Ross-Rubinstein formula, are naturally derived from game-theoretic probability protocols. Corresponding to any discrete distribution with finite support, we construct a finite-horizon discrete game, a replicating strategy of Skeptic, and a neutral forecasting strategy of Forecaster, such that the discrete distribution is derived from the game. Construction of a replicating strategy is the same as in the standard arbitrage arguments of pricing European options in binomial tree models. However the game-theoretic framework is advantageous because it eliminates the need for any a priori probabilistic assumption.
  • 关键词:binomial distribution;Cox-Ross-Rubinstein formula;hypergeometric distribution;lower price;Polya's distribution;probability protocol;replicating strategy;upper price
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