2020Mathematical Methods in the Applied SciencesRequires access

An extremely efficient numerical method for pricing options in the Black–Scholes model with jumps

Davood Ahmadian, Luca Vincenzo Ballestra, Nader Karimi

Open publisher page 6 citations

Abstract

We propose a new numerical method for pricing options in the Black–Scholes model with jumps. Specifically, we consider the partial integro‐differential problem that yields the option price, and we solve it by means of a finite difference scheme that combines a fixed‐point iteration technique and a repeated space‐time Richardson extrapolation procedure. Such an approach turns out to be not only extremely accurate and fast but also very simple to implement, since the use of fast convolution techniques for handling the jump integral is not required. Numerical experiments are presented in which vanilla, barrier, and American options are considered.

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What this paper is about

We propose a new numerical method for pricing options in the Black–Scholes model with jumps. Specifically, we consider the partial integro‐differential problem that yields the option price, and we solve it by means of a finite difference scheme that combines a fixed‐point iteration technique and a repeated space‐time Richardson extrapolation procedure. Such an approach turns out to be not only extremely accurate and fast but also very simple to implement, since the use of fast convolution techniques for handling the jump integral is not required. Numerical experiments are presented in which vanilla, barrier, and American options are considered.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

We propose a new numerical method for pricing options in the Black–Scholes model with jumps. Specifically, we consider the partial integro‐differential problem that yields the option price, and we solve it by means of a finite difference scheme that combines a fixed‐point iteration technique and a repeated space‐time Richardson extrapolation procedure. Such an approach turns out to be not only extremely accurate and fast but also very simple to implement, since the use of fast convolution techniques for handling the jump integral is not required. Numerical experiments are presented in which vanilla, barrier, and American options are considered.

Key concepts: Mathematics, Black–Scholes model, Richardson extrapolation, Valuation of options, Extrapolation, Convolution (computer science), Partial differential equation, Applied mathematics

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