Time discretization and Markovian iteration for coupled FBSDEs

By Christian Bender, Jianfeng Zhang. 2008

135 citations recorded by the source corpus.

In this paper we lay the foundation for a numerical algorithm to simulate high-dimensional coupled FBSDEs under weak coupling or monotonicity conditions. In particular, we prove convergence of a time discretization and a Markovian iteration. The iteration differs from standard Picard iterations for FBSDEs in that the dimension of the underlying Markovian process does not increase with the number of iterations. This feature seems to be indispensable for an efficient iterative scheme from a numerical point of view. We finally suggest a fully explicit numerical algorithm and present some numerical examples with up to 10-dimensional state space.

Subfields: Control and Systems Engineering, Finance, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/f14e106d938aad606a2fb9d8aacc5cbaafbd719e

How researchers see this paper

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

In Control and Systems Engineering

  1. Jessica Steiner
  2. D. Crisan
  3. K. Manolarakis
  4. Franccois Delarue
  5. Jean-François Chassagneux
  6. Christian Bender

In Finance

  1. Jean-François Chassagneux
  2. Christian Bender
  3. D. Crisan
  4. Jessica Steiner
  5. K. Manolarakis
  6. Denis Belomestny
  7. Franccois Delarue
  8. Arnulf Jentzen

In Management Information Systems

  1. Jessica Steiner
  2. D. Crisan
  3. K. Manolarakis
  4. Franccois Delarue
  5. Jean-François Chassagneux
  6. Christian Bender

Citations in the corpus