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arXiv 2007.02553q-fin.MF
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离散时间下稳健资产定价基本定理研究

On robust fundamental theorems of asset pricing in discrete time

Huy N. Chau

AI总结:

本文在离散时间有限时域下,通过引入新的拓扑框架,证明了无稳健套利条件与稳健定价系统存在性的等价性,并建立了超对冲对偶性及完备性结果。

摘要:

本文致力于研究离散时间和有限时域设定下的稳健资产定价基本定理。不确定性通过同一概率空间上的一个(可能不可数的)价格过程族来建模。我们的技术假设是价格过程关于不确定参数具有连续性。在这一设定下,我们引入了一个新的拓扑框架,使我们能够运用套利定价理论中的经典论证方法,包括 $L^p$ 空间、Hahn-Banach 分离定理以及泛函分析中的其他工具。第一个结果是“无稳健套利”条件与新的“稳健定价系统”存在性之间的等价性。第二个结果给出了超对冲对偶性以及超对冲策略的存在性,且与其他相关研究不同,不需要对收益函数施加限制性条件。第三个结果讨论了当前稳健设定下的完备性问题。当静态交易中还有其他期权可用时,我们可以缩小稳健定价系统的集合,从而降低超对冲价格。

英文摘要:

This paper is devoted to a study of robust fundamental theorems of asset pricing in discrete time and finite horizon settings. Uncertainty is modelled by a (possibly uncountable) family of price processes on the same probability space. Our technical assumption is the continuity of the price processes with respect to uncertain parameters. In this setting, we introduce a new topological framework which allows us to use the classical arguments in arbitrage pricing theory involving $L^p$ spaces, the Hahn-Banach separation theorem and other tools from functional analysis. The first result is the equivalence of a ``no robust arbitrage" condition and the existence of a new ``robust pricing system". The second result shows superhedging dualities and the existence of superhedging strategies without restrictive conditions on payoff functions, unlike other related studies. The third result discusses completeness in the present robust setting. When other options are available for static trading, we could reduce the set of robust pricing systems and hence the superhedging prices.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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