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

By M. Royer. 2006

250 citations recorded by the source corpus.

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.

Subfields: Demography, Finance

View Paper: https://www.semanticscholar.org/paper/3bba84a301641ed96b2e53760be792443331840b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Demography

  1. Jianfeng Zhang
  2. Huyen Pham
  3. Idris Kharroubi
  4. Peter Imkeller
  5. Jin Ma
  6. Anis Matoussi
  7. E. Essaky
  8. St'ephane Cr'epey

In Finance

  1. Huyen Pham
  2. Lukasz Delong
  3. Idris Kharroubi
  4. Jianfeng Zhang
  5. St'ephane Cr'epey
  6. Anis Matoussi
  7. Peter Imkeller
  8. Jin Ma

Citations in the corpus