Valuing American Fractional Lookback Options

ABSTRACT This study presents an analytical framework for the valuation of American fractional floating‐strike lookback options, taking into account both path dependency and the possibility of early exercise. The proposed pricing methodology is based on the Mellin transform technique, through which we derive and solve the associated partial differential equations governing the pricing functions. A key contribution of this work is the explicit characterization of the early‐exercise premium via an integral equation, in contrast to existing methods that typically rely on implicit expressions obtained through inverse transformations. This explicit form provides a more transparent understanding of the structure and behavior of the early‐exercise premium. Numerical experiments are conducted to confirm the accuracy and stability of the proposed approach in approximating the true option values.

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Publication Details

Journal
Journal of Futures Markets
Published
2026-06-18
DOI
https://doi.org/10.1002/fut.70115
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Valuing American Fractional Lookback Options

Hangsuck Lee, D J Kim, Hongjun Ha, Haewon Seo et al.
Journal of Futures Markets
Stochastic processes and financial applications
article

Valuing American Fractional Lookback Options

Hangsuck Lee, D J Kim, Hongjun Ha, Haewon Seo, Yisub Kye
article en

Abstract

ABSTRACT This study presents an analytical framework for the valuation of American fractional floating‐strike lookback options, taking into account both path dependency and the possibility of early exercise. The proposed pricing methodology is based on the Mellin transform technique, through which we derive and solve the associated partial differential equations governing the pricing functions. A key contribution of this work is the explicit characterization of the early‐exercise premium via an integral equation, in contrast to existing methods that typically rely on implicit expressions obtained through inverse transformations. This explicit form provides a more transparent understanding of the structure and behavior of the early‐exercise premium. Numerical experiments are conducted to confirm the accuracy and stability of the proposed approach in approximating the true option values.

Journal of Futures Markets
Northern Illinois University (US), Seoul National University (KR), Gyeongsang National University (KR), Korea University (KR), Korea University (JP), Sungkyunkwan University (KR)
Openalex Percentile: Top 4%
Stochastic processes and financial applications
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