On entropy martingale optimal transport theory

IF 1.4 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS Decisions in Economics and Finance Pub Date : 2024-01-26 DOI:10.1007/s10203-023-00432-y
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引用次数: 0

Abstract

In this paper, we give an overview of (nonlinear) pricing-hedging duality and of its connection with the theory of entropy martingale optimal transport (EMOT), recently developed, and that of convex risk measures. Similarly to Doldi and Frittelli (Finance Stoch 27(2):255–304, 2023), we here establish a duality result between a convex optimal transport and a utility maximization problem. Differently from Doldi and Frittelli (Finance Stoch 27(2):255–304, 2023), we provide here an alternative proof that is based on a compactness assumption. Subhedging and superhedging can be obtained as applications of the duality discussed above. Furthermore, we provide a dual representation of the generalized optimized certainty equivalent associated with indirect utility.

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论熵马丁格尔最优传输理论
摘要 本文概述了(非线性)定价-套期保值对偶性及其与最近提出的熵马丁格尔最优传输(EMOT)理论和凸风险度量理论的联系。与 Doldi 和 Frittelli(《金融随机》27(2):255-304, 2023 年)类似,我们在此建立了凸最优传输与效用最大化问题之间的对偶性结果。与 Doldi 和 Frittelli(《金融随机》27(2):255-304, 2023 年)不同,我们在此提供了基于紧凑性假设的另一种证明。子对冲和超级对冲可以作为上述对偶性的应用而得到。此外,我们还提供了与间接效用相关的广义优化确定性等价物的对偶表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Decisions in Economics and Finance
Decisions in Economics and Finance SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
2.50
自引率
9.10%
发文量
10
期刊介绍: Decisions in Economics and Finance: A Journal of Applied Mathematics is the official publication of the Association for Mathematics Applied to Social and Economic Sciences (AMASES). It provides a specialised forum for the publication of research in all areas of mathematics as applied to economics, finance, insurance, management and social sciences. Primary emphasis is placed on original research concerning topics in mathematics or computational techniques which are explicitly motivated by or contribute to the analysis of economic or financial problems.
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