Multidimensional Linear and Nonlinear Partial Integro-Differential Equation in Bessel Potential Spaces with Applications in Option Pricing

The purpose of this paper is to analyze solutions of a non-local nonlinear partial integro-differential equation (PIDE) in multidimensional spaces. Such class of PIDE often arises in financial modeling. We employ the theory of abstract semilinear parabolic equations in order to prove existence and u...

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Vydané v:Mathematics (Basel) Ročník 9; číslo 13; s. 1463
Hlavní autori: Ševčovič, Daniel, Udeani, Cyril Izuchukwu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.07.2021
Predmet:
bessel potential spaces
Differential equations
Food science
hölder continuity
lévy measure
Mathematical functions
option pricing
partial integro-differential equation
Pricing
Put & call options
Stochastic models
Stochastic processes
strong kernel
Uniqueness
Variables
ISSN:2227-7390, 2227-7390
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Shrnutí:The purpose of this paper is to analyze solutions of a non-local nonlinear partial integro-differential equation (PIDE) in multidimensional spaces. Such class of PIDE often arises in financial modeling. We employ the theory of abstract semilinear parabolic equations in order to prove existence and uniqueness of solutions in the scale of Bessel potential spaces. We consider a wide class of Lévy measures satisfying suitable growth conditions near the origin and infinity. The novelty of the paper is the generalization of already known results in the one space dimension to the multidimensional case. We consider Black–Scholes models for option pricing on underlying assets following a Lévy stochastic process with jumps. As an application to option pricing in the one-dimensional space, we consider a general shift function arising from a nonlinear option pricing model taking into account a large trader stock-trading strategy. We prove existence and uniqueness of a solution to the nonlinear PIDE in which the shift function may depend on a prescribed large investor stock-trading strategy function.
Bibliografia:ObjectType-Article-1
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ISSN:2227-7390
2227-7390
DOI:10.3390/math9131463