English

Optimal exercise decision of American options under model uncertainty

Probability 2023-11-03 v2 Optimization and Control Mathematical Finance

Abstract

Given the marginal distribution information of the underlying asset price at two future times T1T_1 and T2T_2, we consider the problem of determining a model-free upper bound on the price of a class of American options that must be exercised at either T1T_1 or T2T_2. The model uncertainty consistent with the given marginal information is described as the martingale optimal transport problem. We show that any option exercise scheme associated with any market model that jointly maximizes the expected option payoff must be nonrandomized if the American option payoff satisfies a suitable convexity condition and the model-free price upper bound and its relaxed version coincide. The latter condition is desired to be removed under appropriate conditions on the cost and marginals.

Keywords

Cite

@article{arxiv.2310.14473,
  title  = {Optimal exercise decision of American options under model uncertainty},
  author = {Tongseok Lim},
  journal= {arXiv preprint arXiv:2310.14473},
  year   = {2023}
}

Comments

Version 1 of the paper posted on arXiv had an incorrect Proposition 2.1, which was used to erroneously derive the equation $P_c = \overline P_c$. The proposition was removed in Ver 2, and the main theorem now assumes the equation. I would like to find sufficient conditions for the equation