Backward stochastic differential equations with jumps and related non-linear expectations

被引:137
|
作者
Royer, Manuela [1 ]
机构
[1] Univ Lyon 1, ISFA, F-69366 Lyon 07, France
关键词
backward stochastic differential equations; jumps; non-linear expectation; Doob-Meyer decomposition;
D O I
10.1016/j.spa.2006.02.009
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 are interested in real-valued backward stochastic differential equations with jumps together with their applications to non-linear expectations. The notion of non-linear expectations has been studied only when the underlying filtration is given by a Brownian motion and in this work the filtration will be generated by both a Brownian motion and a Poisson random measure. We study at first backward stochastic differential equations driven by a Brownian motion and a Poisson random measure and then introduce the notions of f -expectations and of non-linear expectations in this set-up. (C) 2006 Elsevier B.V. All rights reserved.
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页码:1358 / 1376
页数:19
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