Reflected backward stochastic difference equations and optimal stopping problems under g-expectation*&DAG;

被引:0
作者
An, Lifen [1 ]
Cohen, Samuel N. [2 ]
Ji, Shaolin [3 ]
机构
[1] Shenzhen Univ, Coll Econ, Shenzhen, Peoples R China
[2] Univ Oxford, Math Inst, Oxford, England
[3] Shandong Univ, Zhongtai Secur Inst Financial Studies, Jinan 250100, Shandong, Peoples R China
来源
ELECTRONIC JOURNAL OF PROBABILITY | 2023年 / 28卷
基金
中国国家自然科学基金;
关键词
backward stochastic difference equations (BSDEs); reflected BSDEs (RBSDEs); optimal stopping; g-expectation; American contingent claims; NONLINEAR EXPECTATIONS; BSDES; CONSISTENT; AMBIGUITY; THEOREM; RISK; PART;
D O I
10.1214/23-EJP989
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
In this paper, we study reflected backward stochastic difference equations (RBSDEs for short) with finitely many states in discrete time. The general existence and uniqueness result, as well as comparison theorems for the solutions, are established under mild assumptions. The connections between RBSDEs and optimal stopping problems are also given. Then we apply the obtained results to explore optimal stopping problems under g-expectation. Finally, we study the pricing of American contingent claims in our context.
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页数:24
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