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Research Article | Open Access

Analytic approximations for European-style Asian spread options

Boling Chen1Guohe Deng2( )
College of Mathematics and Statistics, Yulin Normal University, Yulin 537000, China
College of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, China
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Abstract

Spread option is a exotic option, which allows investors to simultaneously take positions in two correlated underlying assets and profit from their price difference over some spread. This option provides stable investment opportunities for practitioners in unpredictable and complex financial markets. However, investors of the spread option may face problems caused by manipulating the two underlying assets' prices near the expiry, compared to plain vanilla options. To overcome such disadvantages, we propose Asian-spread options, which are linked to the price difference between two average prices of two underlying assets over the life of the option, and exhibit the original properties of standard spread options. In this paper, using distribution-approximating and moment-matching approaches, lower bounds of prices for the European spread option on the geometric average Asian option and arithmetic average Asian option are obtained in the classical Black-Scholes model. We verified the pricing accuracy of the proposed Asian-spread options by comparing our solutions with those obtained by Monte Carlo simulations. Finally, we analyzed the influence of stock price, maturity date, and some model parameters on option price and delta value through numerical examples. Numerical results showed that the lower bounds had a very high precision.

CLC number: 90A09, 91B24, 91B28, 93E20

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AIMS Mathematics
Pages 11696-11717

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Cite this article:
Chen B, Deng G. Analytic approximations for European-style Asian spread options. AIMS Mathematics, 2024, 9(5): 11696-11717. https://doi.org/10.3934/math.2024573

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Received: 14 January 2024
Revised: 01 March 2024
Accepted: 07 March 2024
Published: 15 May 2024
©2024 the Author(s), licensee AIMS Press.

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