English

Monotonicity of the value function for a two-dimensional optimal stopping problem

Probability 2014-05-19 v2 Optimization and Control

Abstract

We consider a pair (X,Y)(X,Y) of stochastic processes satisfying the equation dX=a(X)YdBdX=a(X)Y\,dB driven by a Brownian motion and study the monotonicity and continuity in yy of the value function v(x,y)=supτEx,y[eqτg(Xτ)]v(x,y)=\sup_{\tau}E_{x,y}[e^{-q\tau}g(X_{\tau})], where the supremum is taken over stopping times with respect to the filtration generated by (X,Y)(X,Y). Our results can successfully be applied to pricing American options where XX is the discounted price of an asset while YY is given by a stochastic volatility model such as those proposed by Heston or Hull and White. The main method of proof is based on time-change and coupling.

Keywords

Cite

@article{arxiv.1208.3126,
  title  = {Monotonicity of the value function for a two-dimensional optimal stopping problem},
  author = {Sigurd Assing and Saul Jacka and Adriana Ocejo},
  journal= {arXiv preprint arXiv:1208.3126},
  year   = {2014}
}

Comments

Published in at http://dx.doi.org/10.1214/13-AAP956 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-06-21T21:50:59.498Z