Solution of option pricing equations using orthogonal polynomial expansion

12/13/2019
by   Falko Baustian, et al.
0

In this paper we study both analytic and numerical solutions of option pricing equations using systems of orthogonal polynomials. Using a Galerkin-based method, we solve the parabolic partial diferential equation for the Black-Scholes model using Hermite polynomials and for the Heston model using Hermite and Laguerre polynomials. We compare obtained solutions to existing semi-closed pricing formulas. Special attention is paid to the solution of Heston model at the boundary with vanishing volatility.

READ FULL TEXT
research
03/04/2023

Fast Option Pricing using Nonlinear Stencils

We study the binomial option pricing model and the Black-Scholes-Merton ...
research
03/29/2020

An iterative splitting method for pricing European options under the Heston model

In this paper, we propose an iterative splitting method to solve the par...
research
05/21/2021

Option Valuation through Deep Learning of Transition Probability Density

Transition probability densities are fundamental to option pricing. Adva...
research
09/18/2021

Decentralized Governance of Stablecoins with Option Pricing

We model incentive security in non-custodial stablecoins and derive cond...
research
11/25/2022

Option Pricing under Multifactor Black-Scholes Model Using Orthogonal Spline Wavelets

The paper focuses on pricing European-style options on several underlyin...
research
06/23/2020

Numerical aspects of integration in semi-closed option pricing formulas for stochastic volatility jump diffusion models

In mathematical finance, a process of calibrating stochastic volatility ...
research
04/30/2021

A note on a PDE approach to option pricing under xVA

In this paper we study partial differential equations (PDEs) that can be...

Please sign up or login with your details

Forgot password? Click here to reset