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Entropy and the value of information for investors

机译:熵和信息对投资者的价值

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摘要

Consider a person or say agent who has to take decision on investments who needs information about the investment. When the agent has to rank information the basis for the same has to be decided. Ranking of information value depend up on agents prior information, the preferences and wealth of the agent and the decision problem to which the information is applied. The agent may have some initial prior on a set of pay-off related states of nature. He receives signals and based on this his beliefs are updated. The problem is regarding whether one information structure more useful information than another. This was first discussed by Blackwell (Ref.1 ). The summary of Blackwell's approach is that when a later information is appealing than the former, it means that the former signal is less informative or the same as later but with noise. However Blackwell's theory assumes that the agent has a preference for information structure over the other and thus ordering of information may not be feasible in this approach. In this paper decision-theoretic principles are used for make the Blackwell's approach complete restricting the attention to no-arbitrage investment decisions. Fixing a prior over the states, one information structure investment dominates another if, over the allowed class of problems and preferences, whenever the first one is rejected at some price, so is the case with the second. (33 refs.)
机译:考虑一个必须对投资做出决定的人或代理,他们需要有关投资的信息。当代理商必须对信息进行排名时,必须确定信息的依据。信息价值的排名取决于代理商的先验信息,代理商的偏好和财富以及信息所适用的决策问题。代理可能在一组与收益相关的自然状态上具有一些初始先验。他收到信号,并据此更新了自己的信念。问题在于一种信息结构是否比另一种信息更有用。布莱克韦尔(参考资料1)首先对此进行了讨论。布莱克韦尔方法的总结是,当晚于前者的信息吸引人时,这意味着前者的信息量较少或与后者相同,但带有噪音。但是,布莱克韦尔(Blackwell)的理论假设,与其他相比,代理人更喜欢信息结构,因此在这种方法中信息排序可能不可行。在本文中,决策理论原理用于使布莱克韦尔的方法完全限制对无套利投资决策的关注。如果在问题和偏好的允许类别上,每当第一个信息被拒绝以某个价格被拒绝时,固定一个优先于各州的信息结构投资便会主导另一个信息结构投资,第二个则是如此。 (33参考)

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  • 来源
    《Operations Research》 |2014年第4期|371-373|共3页
  • 作者单位

    Department of Economics, Universidad Carlos Ⅲ de Madrid,Madrid 126, 28903 Getafe, Spain;

    Paris School of Economics-CNRS, 48 Boulevard Jourdan, 75014, Paris, France, and Department of Mathematics, London School of Economics, London, UK;

    Department of Economics, Box B, Brown University, Providence, RI 02912;

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