Quadratic BSDEs with jumps: Related nonlinear expectations

Author:

Kazi-Tani Nabil1,Possamaï Dylan2,Zhou Chao3

Affiliation:

1. Institut de Science Financière et d’Assurances, Université de Lyon 1, 50 Avenue Tony Garnier, Lyon 69007, France

2. Centre de Recherche en Mathématiques de la Décision, Université Paris Dauphine, Place du Marchal de Lattre de Tassigny, Paris Cedex 16, 75775, France

3. Department of Mathematics, National University of Singapore, 10 Lower Kent Ridge Road, Singapore 119076, Singapore

Abstract

In this paper, we continue the study of quadratic backward SDEs with jumps, that is to say for which the generator has quadratic growth in the variables [Formula: see text], started in our accompanying paper [12]. Relying on the existence and uniqueness result of [12], we define the corresponding [Formula: see text]-expectations and study some of their properties. We obtain in particular a nonlinear Doob–Meyer decomposition for [Formula: see text]-submartingales and a downcrossing inequality which implies their regularity in time. As a consequence of these results, we also obtain a converse comparison theorem for our class of BSDEs. Finally, we provide a dual representation for the corresponding dynamic risk measures, and study the properties of their inf-convolution, giving several explicit examples.

Publisher

World Scientific Pub Co Pte Lt

Subject

Modelling and Simulation

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reflections on BSDEs;Electronic Journal of Probability;2024-01-01

2. Well-Posedness of Backward Stochastic Differential Equations with Jumps and Irregular Coefficients;Fractal and Fractional;2023-12-29

3. Quadratic BSDEs with jumps and related PIDEs;Stochastics;2021-06-11

4. Limits of random walks with distributionally robust transition probabilities;Electronic Communications in Probability;2021-01-01

5. Concentration of dynamic risk measures in a Brownian filtration;Stochastic Processes and their Applications;2019-05

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