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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Main Authors: Siti N.I. Ibrahim, John G. O'Hara, Nick Constantinou
Format: Article
Language:English
Published: BİSKA Bilisim Company 2013-03-01
Series:New Trends in Mathematical Sciences
Subjects:
Online Access:https://ntmsci.com/ajaxtool/GetArticleByPublishedArticleId?PublishedArticleId=1
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spelling 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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