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Research Article | Open Access

Analytical pricing of maximum and minimum options based on a class of partial differential-integral equations: Applications of Mellin transform

Libin Wang1,2( )Yue Zhao2
Financial Innovation and Risk Management Research Center, Hebei Finance University, Baoding 071051, China
School of Statistics and Data Science, Hebei Finance University, Baoding 071051, China
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Abstract

In this work, the analytical pricing of maximum and minimum options under the integrated scenario of interdependent stochastic volatility and jump, and the stochastic interest rate, were investigated by means of the composite Mellin transform approach. The analytic expressions of Mellin transform functions of the price of the maximum put option, minimum call option, and the exchange option were derived by different partial differential-integral equations (PDIEs). Meanwhile, the explicit price of other maximum and minimum options were obtained by means of the payoff decomposition technique and the parity relation of max-min and exchange options. In addition, the convergence of solutions of PDIEs was further demonstrated by transform techniques and decomposition skills. The simulation of the price process of two underlying assets was given to present the effectiveness and uniqueness of the proposed model. Finally, numerical analysis was implemented to examine the accuracy of the PDIE method and the validity of key parameters.

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Electronic Research Archive
Pages 7810-7840

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Cite this article:
Wang L, Zhao Y. Analytical pricing of maximum and minimum options based on a class of partial differential-integral equations: Applications of Mellin transform. Electronic Research Archive, 2025, 33(12): 7810-7840. https://doi.org/10.3934/era.2025345

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Received: 12 October 2025
Revised: 16 December 2025
Accepted: 22 December 2025
Published: 25 December 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)