Optimal stopping under adverse nonlinear expectation and related games

By Marcel Nutz, Jianfeng Zhang. 2012

71 citations recorded by the source corpus.

We study the existence of optimal actions in a zero-sum game $\inf_{\tau}\sup_PE^P[X_{\tau}]$ between a stopper and a controller choosing a probability measure. This includes the optimal stopping problem $\inf_{\tau}\mathcal{E}(X_{\tau})$ for a class of sublinear expectations $\mathcal{E}(\cdot)$ such as the $G$-expectation. We show that the game has a value. Moreover, exploiting the theory of sublinear expectations, we define a nonlinear Snell envelope $Y$ and prove that the first hitting time $\inf\{t:Y_t=X_t\}$ is an optimal stopping time. The existence of a saddle point is shown under a compactness condition. Finally, the results are applied to the subhedging of American options under volatility uncertainty.

Subfields: Control and Systems Engineering, Economics and Econometrics, Finance

View Paper: https://www.semanticscholar.org/paper/e86c0f7b5fe8e59ee7df97cdcc16fc16043a9205

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. Marcel Nutz

In Economics and Econometrics

  1. Marcel Nutz
  2. Bruno Bouchard
  3. Xiaolu Tan
  4. Sara Biagini
  5. Ariel Neufeld
  6. Dylan Possamaï
  7. Constantinos Kardaras
  8. Jianfeng Zhang

In Finance

  1. Marcel Nutz
  2. Bruno Bouchard
  3. Xiaolu Tan
  4. Ariel Neufeld
  5. Dylan Possamaï
  6. Sara Biagini
  7. Constantinos Kardaras
  8. Chao Zhou

Citations in the corpus