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Lévy过程驱动的BSDE的反比较定理与Jensen不等式
李标,徐静,张波
作者单位
李标 中南财经政法大学金融学院, 湖北 武汉 430073 
徐静 重庆大学经济与管理学院, 重庆 400030 
张波 中国人民大学统计学院, 北京 100872 
摘要:
本文研究了由一维Lévy过程驱动的倒向随机微分方程(BSDE)的反比较定理.利用一般g-期望下BSDE的反比较定理的证明方法,推导出了一般f-期望下BSDE的反比较定理,并给出了一般f-期望下Jensen不等式成立的充分必要条件.
关键词:  反比较定理  Lévy过程  Jensen不等式
DOI:
分类号:O211.6
基金项目:Supported by National Natural Science Foundation of China (11126314); 2013 Basic Research Projects at Zhongnan University of Economics and Law (2013019); the Central Universities Research Program in Zhongnan University of Economics and Law (2014066).
CONVERSE COMPARISON THEOREM FOR BSDE DRIVEN BY LÉVY PROCESS AND JENSEN'S INEQUALITY
LI Biao,XU Jing,ZHANG Bo
Abstract:
In this paper, we are devoted to the converse comparison theorem for backward stochastic differential equations (BSDEs, for short) driven by 1-dimensional Lévy processes. With the similar method of the converse comparison theorem under g-expectation, we prove the converse comparison theorem under f-expectation. Moreover, we provide a necessary and sufficient condition for the Jensen's inequality to hold under the f-expectation, the nonlinear expectation defined by BSDEs driven by Lévy processes.
Key words:  converse comparison theorem  Lévy process  Jensen's inequality

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