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Applied Stochastic Models in Business and IndustryVolume 33, Issue 4, July/August 2017, Pages 422-442

Unifying pricing formula for several stochastic volatility models with jumps(Article)

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  • aDepartment of Mathematics, University of Rostock, Ulmenstraße 69, Rostock, 18057, Germany
  • bNTIS – New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia Univerzitní8, Plzeň, 306 14, Czech Republic

Abstract

In this paper, we introduce a unifying approach to option pricing under continuous-time stochastic volatility models with jumps. For European style options, a new semi-closed pricing formula is derived using the generalized complex Fourier transform of the corresponding partial integro-differential equation. This approach is successfully applied to models with different volatility diffusion and jump processes. We also discuss how to price options with different payoff functions in a similar way. In particular, we focus on a log-normal and a log-uniform jump diffusion stochastic volatility model, originally introduced by Bates and Yan and Hanson, respectively. The comparison of existing and newly proposed option pricing formulas with respect to time efficiency and precision is discussed. We also derive a representation of an option price under a new approximative fractional jump diffusion model that differs from the aforementioned models, especially for the out-of-the money contracts. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

Author keywords

fractional volatilityfundamental transformoption pricingPIDEstochastic volatility models

Indexed keywords

Engineering controlled terms:Continuous time systemsCostsDifferential equationsDiffusionEconomic analysisEconomic and social effectsEconomicsFinancial marketsIntegrodifferential equationsMarkov processesStochastic systems
Engineering uncontrolled termsFractional volatilityJump diffusion modelsOption pricingPartial integro-differential equationsPIDEStochastic Volatility ModelTime efficienciesVolatility diffusions
Engineering main heading:Stochastic models
  • ISSN: 15241904
  • CODEN: ASMBC
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1002/asmb.2248
  • Document Type: Article
  • Publisher: John Wiley and Sons Ltd

  Pospíšil, J.; NTIS – New Technologies for the Information Society, Faculty of Applied Sciences, University of West Bohemia Univerzitní8, Plzeň, Czech Republic;
© Copyright 2017 Elsevier B.V., All rights reserved.

Cited by 7 documents

Baustian, F. , Filipová, K. , Pospíšil, J.
Solution of option pricing equations using orthogonal polynomial expansion
(2021) Applications of Mathematics
Merino, R. , Pospíšil, J.A.N. , Sobotka, T.
Decomposition formula for rough volterra stochastic volatility models
(2021) International Journal of Theoretical and Applied Finance
Daněk, J. , Pospíšil, J.
Numerical aspects of integration in semi-closed option pricing formulas for stochastic volatility jump diffusion models
(2020) International Journal of Computer Mathematics
View details of all 7 citations
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