A Monte-Carlo approach for pricing arithmetic Asian rainbow options under the mixed fractional Brownian motion

D. Ahmadian, L.V. Ballestra and F. Shokrollahi

Chaos, Solitons & Fractals, 2022, vol. 158, issue C

Abstract: We derive a closed-form solution for pricing geometric Asian rainbow options under the mixed geometric fractional Brownian motion (FBM). In particular, the number of underlying assets is allowed to be arbitrary, and fully correlated fractional Brownian motions are taken into account. The analytical solution obtained is used as a control variate for Monte Carlo based computations of the price of arithmetic Asian rainbow options. Numerical experiments are presented in which options on two, three, four and ten underlying assets are considered. Results reveal that the proposed control variate technique is very effective to reduce the variance of the Monte Carlo estimator and yields a reliable approximation of the Asian rainbow option price.

Keywords: Mixed fractional Brownian motion; Monte Carlo simulation; Control variate; Asian rainbow option; Option pricing (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922002338

DOI: 10.1016/j.chaos.2022.112023

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