Abstract
We show a concise extension of the monotone stability approach to backward stochastic differential equations (BSDEs) that are jointly driven by a Brownian motion and a random measure of jumps, which could be of infinite activity with a non-deterministic and time-inhomogeneous compensator. The BSDE generator function can be non-convex and needs not satisfy global Lipschitz conditions in the jump integrand. We contribute concrete sufficient criteria, that are easy to verify, for results on existence and uniqueness of bounded solutions to BSDEs with jumps, and on comparison and a-priori \(L^\infty \)-bounds. Several examples and counter examples are discussed to shed light on the scope and applicability of different assumptions, and we provide an overview of major applications in finance and optimal control.
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Becherer, D., Büttner, M., Kentia, K. (2019). On the Monotone Stability Approach to BSDEs with Jumps: Extensions, Concrete Criteria and Examples. In: Cohen, S., Gyöngy, I., dos Reis, G., Siska, D., Szpruch, Ł. (eds) Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications. BSDE-SPDE 2017. Springer Proceedings in Mathematics & Statistics, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-030-22285-7_1
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