Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Skew-Brownian motion and pricing European exchange options br
 
research article

Skew-Brownian motion and pricing European exchange options br

Pasricha, Puneet  
•
He, Xin-Jiang
July 1, 2022
International Review Of Financial Analysis

This article derives a closed-form pricing formula for European exchange options under a non-Gaussianframework for the underlying assets, intending to resolve mispricing associated with a geometric Brownianmotion. The dynamics of each of the two correlated underlying assets are assumed to be governed by theexponential of a skew-Brownian motion, which is specified as a sum of a standard Brownian motion and anindependent reflected Brownian motion. The proposed pricing formula does not incur additional computationalcosts than the standard Black-Scholes framework, which one can quickly recover as a particular case of theproposed framework. Finally, we present some numerical experiments followed by a valuable discussion onthe results

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.irfa.2022.102120
Web of Science ID

WOS:000806724700016

Author(s)
Pasricha, Puneet  
He, Xin-Jiang
Date Issued

2022-07-01

Publisher

ELSEVIER SCIENCE INC

Published in
International Review Of Financial Analysis
Volume

82

Article Number

102120

Subjects

Business, Finance

•

Business & Economics

•

european exchange options

•

skew-brownian motion

•

radon-nikodym derivative

•

non-gaussian distribution

•

owen?stfunction

•

formula

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
SFI-GE  
Available on Infoscience
July 18, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/189277
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés