Path regularity and explicit convergence rate for BSDE with truncated quadratic growth
By Peter Imkeller, Gonçalo dos Reis. 2009
80 citations recorded by the source corpus.
We consider backward stochastic differential equations with drivers of quadratic growth (qgBSDE). We prove several statements concerning path regularity and stochastic smoothness of the solution processes of the qgBSDE, in particular we prove an extension of Zhang's path regularity theorem to the quadratic growth setting. We give explicit convergence rates for the difference between the solution of a qgBSDE and its truncation, filling an important gap in numerics for qgBSDE. We give an alternative proof of second order Malliavin differentiability for BSDE with drivers that are Lipschitz continuous (and differentiable), and then derive an analogous result for qgBSDE.
Subfields: Demography, Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/97e370262cca1904598862e696376f723b669f88
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Adrien Richou
- David Nualart
- Xiaoming Song
- Yaozhong Hu
- Arnulf Jentzen
- Christian Bender
- Jessica Steiner
In Economics and Econometrics
- David Nualart
- Yaozhong Hu
- Adrien Richou
- Xiaoming Song
- Christian Bender
- Ciprian A. Tudor
- Fred Espen Benth
- R. Balan
In Finance
- David Nualart
- Yaozhong Hu
- Adrien Richou
- Xiaoming Song
- Ciprian A. Tudor
- Frederi G. Viens
- Christian Bender
- Ivan Nourdin
Citations in the corpus
- Markovian quadratic and superquadratic BSDEs with an unbounded terminal condition (2011, unknown): “When κ = 1, it is also possible to recover the result obtained by Imkeller and dos Reis in [18] (they assume in addition that r = 0): for all k ∈ N, there exists C > 0 such that ē1(M) 6 C Mk .”
- Numerical simulation of BSDEs with drivers of quadratic growth (2010, methodology): “For their original version and their proof we refer to [2, 17] and [14].”
- Numerical simulation of quadratic BSDEs (2013, unknown): “The error is bounded by C p M p for every p > 1; see [28, 40].”
- Malliavin calculus for backward stochastic differential equations and application to numerical solutions (2011, methodology): “Again in this forward– backward setting, if the generator f has a quadratic growth in Z, a numerical approximation is developed by Imkeller and Dos Reis [9] in which a truncation procedure is applied.”