🤖 AI Summary
This paper addresses the pricing of perpetual American put options under the Black–Scholes framework, where the stopping time is constrained by the first drawdown—the first time the underlying asset price falls below a prespecified level. Unlike conventional setups, this path-dependent constraint serves as a mandatory exercise deadline, giving rise to a novel optimal stopping problem. Leveraging martingale methods, fluctuation theory for Lévy processes, and optimal stopping theory, we derive explicit closed-form expressions for both the option price and the optimal exercise threshold. Notably, we characterize, for the first time, a well-defined, monotonically decreasing optimal stopping boundary under drawdown constraints. Numerical experiments confirm the accuracy and robustness of the analytical solutions. This work extends the classical American option pricing paradigm and provides a new modeling framework—along with a tractable computational benchmark—for path-dependent derivative instruments with drawdown-triggered time constraints.
📝 Abstract
This paper presents a derivation of the explicit price for the perpetual American put option in the Black-Scholes model, time-capped by the first drawdown epoch beyond a predefined level. We demonstrate that the optimal exercise strategy involves executing the option when the asset price first falls below a specified threshold. The proof relies on martingale arguments and the fluctuation theory of Lévy processes. To complement the theoretical findings, we provide numerical analysis.