Random walk approximation of BSDEs with Hölder continuous terminal condition
Geiss, C., Labart, C., & Luoto, A. (2020). Random walk approximation of BSDEs with Hölder continuous terminal condition. Bernoulli, 26(1), 159-190. https://doi.org/10.3150/19-BEJ1120
Published in
BernoulliDate
2020Copyright
© 2020 ISI/BS
In this paper, we consider the random walk approximation of the solution of a Markovian BSDE whose terminal condition is a locally Hölder continuous function of the Brownian motion. We state the rate of the L2-convergence of the approximated solution to the true one. The proof relies in part on growth and smoothness properties of the solution u of the associated PDE. Here we improve existing results by showing some properties of the second derivative of u in space.
Publisher
International Statistical InstituteISSN Search the Publication Forum
1350-7265Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/33652003
Metadata
Show full item recordCollections
License
Related items
Showing items with similar title or keywords.
-
Approximation of heat equation and backward SDEs using random walk : convergence rates
Luoto, Antti (University of Jyväskylä, 2018)This thesis addresses questions related to approximation arising from the fields of stochastic analysis and partial differential equations. Theoretical results regarding convergence rates are obtained by using discretization ... -
Mean square rate of convergence for random walk approximation of forward-backward SDEs
Geiss, Christel; Labart, Céline; Luoto, Antti (Cambridge University Press (CUP), 2020)Let (Y, Z) denote the solution to a forward-backward stochastic differential equation (FBSDE). If one constructs a random walk from the underlying Brownian motion B by Skorokhod embedding, one can show -convergence of ... -
Markov chain backward stochastic differential equations in modeling insurance policy
Hänninen, Henri (2022)Tässä tutkielmassa tarkastelemme henkivakuutuksen varantoa. Mallinnamme henkivakuutusta Markovin prosessin avulla, ja varannon määrittelyyn ja mallintamiseen käytämme Markovin ketju BSDE:itä (Markovin ketju takaperoinen ... -
Backward stochastic differential equations in dynamics of life insurance solvency risk
Hinkkanen, Onni (2022)In this thesis we describe the dynamics of solvency level in life insurance contracts. We do this by representing the underlying sources of risk and the solvency level as the solution to a forward-backward stochastic ... -
Donsker-type theorem for BSDEs : Rate of convergence
Briand, Philippe; Geiss, Christel; Geiss, Stefan; Labart, Céline (International Statistical Institute, 2021)In this paper, we study in the Markovian case the rate of convergence in Wasserstein distance when the solution to a BSDE is approximated by a solution to a BSDE driven by a scaled random walk as introduced in Briand, ...