Progressive enlargement of filtrations and Backward SDEs with jumps
arXiv:1101.2815
Abstract
This work deals with backward stochastic differential equation (BSDE) with random marked jumps, and their applications to default risk. We show that these BSDEs are linked with Brownian BSDEs through the decomposition of processes with respect to the progressive enlargement of filtrations. We show that the equations have solutions if the associated Brownian BSDEs have solutions. We also provide a uniqueness theorem for BSDEs with jumps by giving a comparison theorem based on the comparison for Brownian BSDEs. We give in particular some results for quadratic BDSEs. As applications, we study the pricing and the hedging of a European option in a complete market with a single jump, and the utility maximization problem in an incomplete market with a finite number of jumps.
References in corpus (1)
Cited by in corpus (7)
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- Backward stochastic differential equation driven by a marked point process: An elementary approach with an application to optimal control
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- Dynamic construction of martingales of density functions
- A decomposition approach for the discrete-time approximation of BSDEs with a jump II: the quadratic case
- On controller-stopper problems with jumps and their applications to indifference pricing of American options