Capacities, Measurable Selection and Dynamic Programming Part II: Application in Stochastic Control Problems

By Nicole El Karoui, Xiaolu Tan. 2013

102 citations recorded by the source corpus.

We aim to give an overview on how to derive the dynamic programming principle for a general stochastic control/stopping problem, using measurable selection techniques. By considering their martingale problem formulation, we show how to check the required measurability conditions for different versions of control/stopping problem, including in particular the controlled/stopped diffusion processes problem. Further, we also study the stability of the control problem, i.e. the approximation of the control process by piecewise constant control problems. It induces in particular an equivalence result for different versions of the controlled/stopped diffusion processes problem.

Subfields: Economics and Econometrics, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/f497d4ee124dc091ef90e134936d842319ccd7a8

How researchers see this paper

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

In Economics and Econometrics

  1. Jianfeng Zhang
  2. Dylan Possamaï
  3. Cong Wu
  4. Daniel Lacker
  5. Xiaolu Tan
  6. Markus Fischer
  7. Marcel Nutz
  8. Franccois Delarue

In Finance

  1. Dylan Possamaï
  2. Jianfeng Zhang
  3. Cong Wu
  4. Xiaolu Tan
  5. Daniel Lacker
  6. Chao Zhou
  7. Marcel Nutz
  8. Jean-François Chassagneux

In Management Science and Operations Research

  1. Dylan Possamaï
  2. Jianfeng Zhang
  3. Cong Wu
  4. Daniel Lacker
  5. Chao Zhou
  6. Xiaolu Tan
  7. Marcel Nutz
  8. H. M. Soner

Citations in the corpus