模型不确定性下美式期权的最优行权决策
概率论
2023-11-03 v2 最优化与控制
数理金融
摘要
给定标的资产价格在两个未来时刻 与 的边际分布信息,我们考虑确定一类必须在 或 行权的美式期权价格的无模型上界问题。与所给边际信息一致的模型不确定性被描述为鞅最优传输问题。我们证明,若美式期权 payoff 满足适当的凸性条件,且无模型价格上界与其松弛版本重合,则任何与市场模型相关联、联合最大化期望期权 payoff 的行权方案必为非随机化的。后者条件希望在关于成本与边际的适当条件下被去除。
引用
@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}
}
备注
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