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This paper deals with the efficient numerical solution of the two-dimensional partial integro-differential complementarity problem (PIDCP) that holds for the value of American-style options under the two-asset Merton jump-diffusion model.…

Numerical Analysis · Mathematics 2019-12-17 Lynn Boen , Karel J. in 't Hout

This paper concerns the numerical solution of the two-dimensional time-dependent partial integro-differential equation (PIDE) that holds for the values of European-style options under the two-asset Kou jump-diffusion model. A main feature…

Numerical Analysis · Mathematics 2023-05-09 Karel in 't Hout , Pieter Lamotte

Financial derivatives pricing aims to find the fair value of a financial contract on an underlying asset. Here we consider option pricing in the partial differential equations framework. The contemporary models lead to one-dimensional or…

Computational Finance · Quantitative Finance 2015-04-07 Karel in 't Hout , Jari Toivanen

This paper addresses an important gap in rigorous numerical treatments for pricing American options under correlated two-asset jump-diffusion models using the viscosity solution framework, with a particular focus on the Merton model. The…

Computational Finance · Quantitative Finance 2025-04-11 Hao Zhou , Duy-Minh Dang

This paper concerns the numerical valuation of swing options with discrete action times under a linear two-factor mean-reverting model with jumps. The resulting sequence of two-dimensional partial integro-differential equations (PIDEs) are…

Numerical Analysis · Mathematics 2026-02-05 Mustapha Regragui , Karel J. in 't Hout , Michèle Vanmaele , Fred Espen Benth

We propose a new, unified approach to solving jump-diffusion partial integro-differential equations (PIDEs) that often appear in mathematical finance. Our method consists of the following steps. First, a second-order operator splitting on…

Computational Finance · Quantitative Finance 2014-04-15 Andrey Itkin

In this article, a three-time levels compact scheme is proposed to solve the partial integro-differential equation governing the option prices under jump-diffusion models. In the proposed compact scheme, the second derivative approximation…

Computational Finance · Quantitative Finance 2018-04-23 Kuldip Singh Patel , Mani Mehra

This paper deals with the numerical solution of the Heston partial differential equation that plays an important role in financial option pricing, Heston (1993, Rev. Finan. Stud. 6). A feature of this time-dependent, two-dimensional…

Numerical Analysis · Mathematics 2011-04-11 K. J. in 't Hout , S. Foulon

This paper is a further extension of the method proposed in Itkin, 2014 as applied to another set of jump-diffusion models: Inverse Normal Gaussian, Hyperbolic and Meixner. To solve the corresponding PIDEs we accomplish few steps. First, a…

Computational Finance · Quantitative Finance 2014-05-29 Andrey Itkin

The aim of this chapter is to show how option prices in jump-diffusion models can be computed using meshless methods based on Radial Basis Function (RBF) interpolation. The RBF technique is demonstrated by solving the partial…

Computational Finance · Quantitative Finance 2011-10-26 Ron T. L. Chan , Simon Hubbert

In mathematical finance a popular approach for pricing options under some Levy model is to consider underlying that follows a Poisson jump diffusion process. As it is well known this results in a partial integro-differential equation (PIDE)…

Computational Finance · Quantitative Finance 2010-02-11 Andrey Itkin , Peter Carr

We develop a novel deep learning approach for pricing European basket options written on assets that follow jump-diffusion dynamics. The option pricing problem is formulated as a partial integro-differential equation, which is approximated…

Computational Finance · Quantitative Finance 2026-02-10 Emmanuil H. Georgoulis , Antonis Papapantoleon , Costas Smaragdakis

It is well known that the Black-Scholes-Merton model suffers from several deficiencies. Jump-diffusion and Levy models have been widely used to partially alleviate some of the biases inherent in this classical model. Unfortunately, the…

Computational Engineering, Finance, and Science · Computer Science 2007-05-23 Kenneth R. Jackson , Sebastian Jaimungal , Vladimir Surkov

This paper is concerned with the adaptation of alternating direction implicit (ADI) time discretization schemes for the numerical solution of partial integro-differential equations (PIDEs) with application to the Bates model in finance.…

Numerical Analysis · Mathematics 2017-12-20 Karel in 't Hout , Jari Toivanen

In this paper we consider the numerical solution of the two-dimensional time-dependent partial integro-differential complementarity problem (PIDCP) that holds for the value of American-style options under the two-asset Kou jump-diffusion…

Numerical Analysis · Mathematics 2024-10-15 Karel J. in 't Hout

We develop algorithms for the numerical computation of the quadratic hedging strategy in incomplete markets modeled by pure jump Markov process. Using the Hamilton-Jacobi-Bellman approach, the value function of the quadratic hedging problem…

Risk Management · Quantitative Finance 2013-12-12 Carmine De Franco , Peter Tankov , Xavier Warin

In this article, a compact finite difference method is proposed for pricing European and American options under jump-diffusion models. Partial integro-differential equation and linear complementary problem governing European and American…

Computational Finance · Quantitative Finance 2018-04-25 Kuldip Singh Patel , Mani Mehra

High-dimensional parabolic partial integro-differential equations (PIDEs) appear in many applications in insurance and finance. Existing numerical methods suffer from the curse of dimensionality or provide solutions only for a given…

Numerical Analysis · Mathematics 2022-07-05 Rüdiger Frey , Verena Köck

We present a detailed analysis and implementation of a splitting strategy to identify simultaneously the local-volatility surface and the jump-size distribution from quoted European prices. The underlying model consists of a jump-diffusion…

Computational Finance · Quantitative Finance 2018-11-07 Vinicius Albani , Jorge Zubelli

We study the pricing of derivative securities in financial markets modeled by a sub-mixed fractional Brownian motion with jumps (smfBm-J), a non-Markovian process that captures both long-range dependence and jump discontinuities. Under this…

Pricing of Securities · Quantitative Finance 2025-07-01 Nader Karimi
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