Perpetual American Compound Fixed-Strike Lookback Options on Maxima Drawdowns

Abstract We present closed-form solutions to the problem of pricing of the perpetual American compound lookback options on the maximum drawdown with fixed strikes in the Black-Merton-Scholes model. It is shown that the optimal exercise times are the first times at which the underlying risky asset price process reaches either lower or upper stochastic boundaries depending on the current values of its running maximum and maximum drawdown processes. The proof is based on the reduction of the original double optimal stopping problem to a sequence of two single optimal stopping problems for the resulting three-dimensional continuous Markov process. The latter problems are solved as the equivalent free-boundary problems by means of the smooth-fit and normal-reflection conditions for the value functions at the optimal stopping boundaries and at the edges of the three-dimensional state space. We show that the optimal exercise boundaries are determined as the maximal and minimal solutions to the appropriate first-order nonlinear ordinary differential equations.

Authors

Institutions

Publication Details

Journal
Methodology And Computing In Applied Probability
Published
2025-09-16
DOI
https://doi.org/10.1007/s11009-025-10199-x
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perpetual American Compound Fixed-Strike Lookback Options on Maxima Drawdowns

Pavel V. Gapeev
Methodology And Computing In Applied Probability
Stochastic processes and financial applications
article

Perpetual American Compound Fixed-Strike Lookback Options on Maxima Drawdowns

Pavel V. Gapeev
article en

Abstract

Abstract We present closed-form solutions to the problem of pricing of the perpetual American compound lookback options on the maximum drawdown with fixed strikes in the Black-Merton-Scholes model. It is shown that the optimal exercise times are the first times at which the underlying risky asset price process reaches either lower or upper stochastic boundaries depending on the current values of its running maximum and maximum drawdown processes. The proof is based on the reduction of the original double optimal stopping problem to a sequence of two single optimal stopping problems for the resulting three-dimensional continuous Markov process. The latter problems are solved as the equivalent free-boundary problems by means of the smooth-fit and normal-reflection conditions for the value functions at the optimal stopping boundaries and at the edges of the three-dimensional state space. We show that the optimal exercise boundaries are determined as the maximal and minimal solutions to the appropriate first-order nonlinear ordinary differential equations.

Methodology And Computing In Applied ProbabilityVol. 27(4)
London School of Economics and Political Science (GB)
Openalex Percentile: Top 68%
Stochastic processes and financial applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Perpetual American Compound Fixed-Strike Lookback Options on Maxima Drawdowns — Pavel V. Gapeev · Methodology And Computing In Applied Probability (2025) | TGRS Research Map | TGRS