The indifference value of the weak information

Fabrice Baudoin, Oleksii Mostovyi
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Abstract

We propose indifference pricing to estimate the value of the weak information. Our framework allows for tractability, quantifying the amount of additional information, and permits the description of the smallness and the stability with respect to small perturbations of the weak information. We provide sharp conditions for the stability with counterexamples. The results rely on a theorem of independent interest on the stability of the optimal investment problem with respect to small changes in the physical probability measure. We also investigate contingent claims that are indifference price invariant with respect to changes in weak information. We show that, in incomplete models, the class of information-invariant claims includes the replicable claims, and it can be strictly bigger. In particular, in complete models, all contingent claims are information invariant. We augment the results with examples and counterexamples.
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弱信息的冷漠值
我们提出了估算弱信息价值的差分定价法。我们的框架具有可操作性,能量化附加信息的数量,并能描述弱信息的微小扰动和稳定性。我们提供了稳定性的尖锐条件和反例。这些结果依赖于一个独立的定理,即最优投资问题相对于物理概率度量的微小变化的稳定性。我们还研究了在弱信息变化时价格不变的或有索赔。我们的研究表明,在不完全模型中,信息不变债权类包括了可变债权,而且它可以严格地更大。特别是,在完全模型中,所有或然索赔都是信息不变的。我们用实例和反例来补充这一结果。
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