最优运输问题对等边际鞅测度集的约束

J. M. L. Escaner, D. Saddi, J. Salazar
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引用次数: 0

摘要

数学金融的一个基本问题是衍生资产(如期权)的定价。在实践中,对价值取决于标的风险资产价格演变的另类期权进行定价,需要先建立模型,然后进行数值模拟。由于没有风险资产的先验模型,只知道其在特定时间的分布,我们转而使用Monge-Kantorovich运输理论寻找期权价格的下界。本文考虑了限制在鞅测度集上的Monge-Kantorovich问题。为了解决这类问题,我们首先考虑最优鞅测度存在的充分条件。接下来,我们将注意力集中在具有一致边际的二维实鞅测度的运输问题上。然后,我们提出了一些优化器的特征,使用测量量化的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the restriction of the optimal transportation problem to the set of martingale measures with uniform marginals
One of the fundamental problems in mathematical finance is the pricing of derivative assets such as options. In practice, pricing an exotic option, whose value depends on the price evolution of an underlying risky asset, requires a model and then numerical simulations. Having no a priori model for the risky asset, but only the knowledge of its distribution at certain times, we instead look for a lower bound for the option price using the Monge-Kantorovich transportation theory. In this paper, we consider the Monge-Kantorovich problem that is restricted over the set of martingale measure. In order to solve such problem, we first look at sufficient conditions for the existence of an optimal martingale measure. Next, we focus our attention on problems with transports which are two-dimensional real martingale measures with uniform marginals. We then come up with some characterization of the optimizer, using measure-quantization approach.
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