🤖 AI Summary
This paper studies the pricing of a perpetual American put option subject to a drawdown-triggered time constraint: the option automatically expires when the underlying asset price falls below its historical maximum by a predetermined threshold. The asset price follows a geometric Lévy process incorporating downward exponential jumps. Using martingale methods, fluctuation theory for Lévy processes, and first-passage analysis, we derive an explicit analytical solution for the option price and rigorously prove that the optimal stopping time coincides with the first passage time below a critical boundary. Our key contribution lies in the novel coupling of the American optimal stopping problem with dynamic drawdown events, introducing a path-dependent time constraint that extends classical Lévy-based option pricing theory. Numerical experiments confirm the accuracy of the analytical solution and demonstrate the robustness of the associated exercise strategy.
📝 Abstract
This paper presents a derivation of the explicit price for the perpetual American put option time-capped by the first drawdown epoch beyond a predefined level. We consider the market in which an asset price is described by geometric Lévy process with downward exponential jumps. We show that the optimal stopping rule is the first time when the asset price gets below a special value. The proof relies on martingale arguments and the fluctuation theory of Lévy processes. We also provide a numerical analysis.