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arXiv 2211.04095math.PRq-fin.MFq-fin.PR
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时变 Ornstein–Uhlenbeck 过程下美式期权的最优行权

Optimal exercise of American options under time-dependent Ornstein-Uhlenbeck processes

Abel Azze, Bernardo D'Auria, Eduardo García-Portugués

AI总结:

本文将时变 Ornstein–Uhlenbeck 过程下的美式期权行权建模为最优停时问题,推导行权边界的 Volterra 积分方程、界与 Lipschitz 连续性,并用 Picard 迭代数值求解。

摘要:

我们研究了一条边界,它给出了在时变 Ornstein–Uhlenbeck 过程上发行的美式期权的最优行权时间;该扩散过程常被从业者用于对商品价格和利率建模。通过将美式期权的最优行权表述为最优停时问题,并借助概率论论证,我们给出了刻画行权边界的非线性 Volterra 型积分方程,发展了一种新的比较论证以推导该边界的上界和下界,并证明了它在任何排除到期日的闭区间上具有 Lipschitz 连续性,从而几乎处处可微。我们实现了一种 Picard 迭代算法来求解该 Volterra 积分方程,并展示了若干说明性示例,以阐明该边界对过程漂移和波动率的依赖关系。

英文摘要:

We study the barrier that gives the optimal time to exercise an American option written on a time-dependent Ornstein--Uhlenbeck process, a diffusion often adopted by practitioners to model commodity prices and interest rates. By framing the optimal exercise of the American option as a problem of optimal stopping and relying on probabilistic arguments, we provide a non-linear Volterra-type integral equation characterizing the exercise boundary, develop a novel comparison argument to derive upper and lower bounds for such a boundary, and prove its Lipschitz continuity in any closed interval that excludes the expiration date and, thus, its differentiability almost everywhere. We implement a Picard iteration algorithm to solve the Volterra integral equation and show illustrative examples that shed light on the boundary's dependence on the process's drift and volatility.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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