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Research Article | Open Access

Pricing vanilla, barrier, and lookback options under two-scale stochastic volatility driven by two approximate fractional Brownian motions

Department of Mathematics, Kunsan National University, Kunsan 54150, Republic of Korea; Email: mgcorea@kunsan.ac.kr
Department of Mathematics, Yonsei University, Seoul 03722, Republic of Korea; Email: jhkim96@yonsei.ac.kr
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Abstract

In this paper, we proposed a stochastic volatility model in which the volatility was given by stochastic processes representing two characteristic time scales of variation driven by approximate fractional Brownian motions with two Hurst exponents. We obtained an approximate closed-form formula for a European vanilla option price and the corresponding implied volatility formula based on singular and regular perturbations and a Mellin transform. The explicit formula for the implied volatility allowed us to find the slope of the implied volatility skew with respect to the Hurst exponent and time-to-maturity. The proposed model allows the market volatility behavior to be captured uniformly in time-to-maturity. We conducted an empirical analysis to find the validity of the proposed model by comparing it with other models and Monte Carlo simulation. Further, we extended the pricing result for the vanilla option to two path-dependent exotic (barrier and lookback) options and obtained the corresponding price formulas explicitly.

CLC number: 91G20, 35Q91, 60J70

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AIMS Mathematics
Pages 25545-25576

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Cite this article:
Lee M-K, Kim J-H. Pricing vanilla, barrier, and lookback options under two-scale stochastic volatility driven by two approximate fractional Brownian motions. AIMS Mathematics, 2024, 9(9): 25545-25576. https://doi.org/10.3934/math.20241248

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Received: 29 June 2024
Revised: 13 August 2024
Accepted: 26 August 2024
Published: 15 September 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)