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research article

Option pricing with orthogonal polynomial expansions

Ackerer, Damien  
•
Filipovic, Damir  
2020
Mathematical Finance

We derive analytic series representations for European option prices in polynomial stochastic volatility models. This includes the Jacobi, Heston, Stein-Stein, and Hull-White models, for which we provide numerical case studies. We find that our polynomial option price series expansion performs as efficiently and accurately as the Fourier-transform-based method in the nested affine cases. We also derive and numerically validate series representations for option Greeks. We depict an extension of our approach to exotic options whose payoffs depend on a finite number of prices.

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Type
research article
DOI
10.1111/mafi.12226
Web of Science ID

WOS:000474869800001

Author(s)
Ackerer, Damien  
•
Filipovic, Damir  
Date Issued

2020

Published in
Mathematical Finance
Volume

30

Issue

1

Start page

47

End page

84

Subjects

Business, Finance

•

Economics

•

Mathematics, Interdisciplinary Applications

•

Social Sciences, Mathematical Methods

•

Business & Economics

•

Mathematics

•

Mathematical Methods In Social Sciences

•

greeks

•

option pricing

•

orthogonal polynomials

•

parameter sensitivity

•

polynomial diffusion models

•

stochastic volatility

•

approximation

•

distributions

•

derivatives

•

diffusions

•

1st

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CSF  
SFI-GE  
Available on Infoscience
July 24, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/159335
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