Digital power generalized exchange option pricing considering liquidity risk

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Authors: Kaihang Zhang, Liting Gao
Cited by: 1
References: 17

Abstract

Traditional option pricing models mostly assume that the market is frictionless, ignoring the impact of liquidity on option price. In response, this paper considers a digital power generalized exchange option pricing problem when the underlying asset has liquidity risk. We obtained a closed-form digital power option pricing formula in a incomplete market by measure transformation. Finally, numerical experiments were conducted by comparing the prices computed by the new formula with those from Monte-Carlo simulations, thereby validating the accuracy of the new formula. Building on this, the impact of liquidity on option prices was further investigated.

Fields of Study & Subjects

Stochastic processes and financial applications Capital Investment and Risk Analysis Financial Markets and Investment Strategies

Publication details

Journal / source
AIMS Mathematics
Publisher
American Institute of Mathematical Sciences (AIMS)
Volume
11
Issue
1
Pages
1761–1776
Publication date
1 January 2026