No-arbitrage under additional information for thin semimartingale models

被引:5
|
作者
Aksamit, Anna [1 ]
Choulli, Tahir [2 ]
Deng, Jun [3 ]
Jeanblanc, Monique [4 ]
机构
[1] Univ Sydney, Sch Math & Stat, Sydney, NSW, Australia
[2] Univ Alberta, Math & Stat Sci Dept, Edmonton, AB, Canada
[3] Univ Int Business & Econ, Sch Banking & Finance, Beijing, Peoples R China
[4] Univ Evry Val dEssonne, Lab Mat & Modelisat Evry LaMME, UMR CNRS 8071, Evry, France
基金
中国国家自然科学基金; 欧洲研究理事会; 加拿大自然科学与工程研究理事会;
关键词
No-unbounded-profit-with-bounded-risk; Arbitrage; Progressive enlargement of filtration; Random horizon; Honest time; Local martingale deflator; Thin semimartingales; PORTFOLIO; VIABILITY; UTILITY;
D O I
10.1016/j.spa.2018.09.005
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This paper completes the studies undertaken in Aksamit et al. (2017, 2018) [1,2] and Choulli and Deng (2017) [8], where we quantify the impact of a random time on the no-unbounded-profit-with-boundedrisk concept (called NUPBR hereafter) for quasi-left-continuous models and discrete-time market models respectively. Herein, we focus on NUPBR for semimartingale models that live on thin predictable sets only and when the extra information about the random time is added progressively over time. This leads to the probabilistic setting of two filtrations where one filtration contains the other and makes the random time a stopping time. For this framework, we explain how far NUPBR is affected when one stops the model by an arbitrary random time, or when one incorporates in a progressive way an honest time into the model. Furthermore, we show how to construct explicitly some local martingale deflators in the largest filtration for a particular class of models. As a consequence, by combining the current results on the thin case and those of Aksamit et al. (2017, 2018) [1,2], we elaborate universal results for general semimartingale models. (C) 2018 Elsevier B.V. All rights reserved.
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页码:3080 / 3115
页数:36
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