Pricing discretely-monitored double barrier options with small probabilities of execution

Vasileios E. Kontosakos, Keegan Mendonca, Athanasios A. Pantelous and Konstantin M. Zuev

European Journal of Operational Research, 2021, vol. 290, issue 1, 313-330

Abstract: In this paper, we propose a new stochastic simulation-based methodology for pricing discretely-monitored double barrier options and estimating the corresponding probabilities of execution. We develop our framework by employing a versatile tool for the estimation of rare event probabilities known as subset simulation algorithm. In this regard, considering plausible dynamics for the price evolution of the underlying asset, we are able to compare and demonstrate clearly that our treatment always outperforms the standard Monte Carlo approach and becomes substantially more efficient (measured in terms of the sample coefficient of variation) when the underlying asset has high volatility and the barriers are set close to the spot price of the underlying asset. In addition, we test and report that our approach performs better when it is compared to the multilevel Monte Carlo method for special cases of barrier options and underlying assets that make the pricing problem a rare event estimation. These theoretical findings are confirmed by numerous simulation results.

Keywords: Simulation; Barrier options pricing; Rare event; Path–dependent derivatives; Discrete monitoring (search for similar items in EconPapers)
JEL-codes: C15 G13 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:290:y:2021:i:1:p:313-330

DOI: 10.1016/j.ejor.2020.07.044

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