Pricing Power Options within the Heston Framework
Numerous studies have presented evidence that certain financial assets may exhibit stochastic volatility or jumps, which cannot be captured within the Black-Scholes environment. This work investigates the valuation of power options when the variance follows the Heston model of stochastic volatility....
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doaj-bda3291fe2b84825a8b020d993d1757e2020-11-25T00:27:55ZengBİSKA Bilisim CompanyNew Trends in Mathematical Sciences2147-55202147-55202013-03-011101091Pricing Power Options within the Heston FrameworkSiti N.I. Ibrahim0John G. O'Hara1Nick Constantinou2University of EssexUniversity of EssexUniversity of EssexNumerous studies have presented evidence that certain financial assets may exhibit stochastic volatility or jumps, which cannot be captured within the Black-Scholes environment. This work investigates the valuation of power options when the variance follows the Heston model of stochastic volatility. A closed form representation of the characteristic function of the process is derived from the partial differential equation (PDE) of the replicating portfolio. The characteristic function is essential for the computation of the European power option prices via the Fast Fourier Transform (FFT) technique. Numerical results are presented. © 2012 Published by NTMSCI Selection and/or peer review under responsibility of NTMSCI Publication Societyhttps://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=1Power OptionPartial Differential EquationHeston ModelCharacteristic FunctionFast Fourier Transform |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Siti N.I. Ibrahim John G. O'Hara Nick Constantinou |
spellingShingle |
Siti N.I. Ibrahim John G. O'Hara Nick Constantinou Pricing Power Options within the Heston Framework New Trends in Mathematical Sciences Power Option Partial Differential Equation Heston Model Characteristic Function Fast Fourier Transform |
author_facet |
Siti N.I. Ibrahim John G. O'Hara Nick Constantinou |
author_sort |
Siti N.I. Ibrahim |
title |
Pricing Power Options within the Heston Framework |
title_short |
Pricing Power Options within the Heston Framework |
title_full |
Pricing Power Options within the Heston Framework |
title_fullStr |
Pricing Power Options within the Heston Framework |
title_full_unstemmed |
Pricing Power Options within the Heston Framework |
title_sort |
pricing power options within the heston framework |
publisher |
BİSKA Bilisim Company |
series |
New Trends in Mathematical Sciences |
issn |
2147-5520 2147-5520 |
publishDate |
2013-03-01 |
description |
Numerous studies have presented evidence that certain financial assets may exhibit stochastic volatility or jumps, which cannot be captured within the Black-Scholes environment. This work investigates the valuation of power options when the variance follows the Heston model of stochastic volatility. A closed form representation of the characteristic function of the process is derived from the partial differential equation (PDE) of the replicating portfolio. The characteristic function is essential for the computation of the European power option prices via the Fast Fourier Transform (FFT) technique. Numerical results are presented. © 2012 Published by NTMSCI Selection and/or peer review under responsibility of NTMSCI Publication Society |
topic |
Power Option Partial Differential Equation Heston Model Characteristic Function Fast Fourier Transform |
url |
https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=1 |
work_keys_str_mv |
AT sitiniibrahim pricingpoweroptionswithinthehestonframework AT johngohara pricingpoweroptionswithinthehestonframework AT nickconstantinou pricingpoweroptionswithinthehestonframework |
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1725337800750923776 |