Publication:
Calculation of Volatility in a Jump-Diffusion Model

dc.contributor.authorF. Navas, Javier
dc.date.accessioned2024-09-19T11:54:05Z
dc.date.available2024-09-19T11:54:05Z
dc.date.issued2003-12-01
dc.description.abstractA common way to incorporate discontinuities in asset returns is to add a Poisson process to a Brownian motion. The jump-diffusion process provides probability distributions that typically fit market data better than those of the simple diffusion process. To compare the performance of these models in option pricing, the total volatility of the jump-diffusion process must be used in the Black-Scholes formula. A number of authors, including Merton (1976a & b), Ball and Torous (1985), Jorion (1988), and Amin (1993), miscalculate this volatility because they do not include the effect of uncertainty over the jump size. We calculate the volatility correctly and show how this affects option prices.
dc.description.sponsorshipDepartamento de Economía Financiera y Contabilidad
dc.identifier.citationThe Journal of Derivatives Winter 2003, 11 ( 2), 66 - 72
dc.identifier.doi10.3905/jod.2003.319217
dc.identifier.urihttps://hdl.handle.net/10433/21716
dc.language.isoen
dc.publisherPortfolio Management Research
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectJump-diffusion process
dc.subjectOption pricing
dc.subjectVolatility smile
dc.titleCalculation of Volatility in a Jump-Diffusion Model
dc.typejournal article
dc.type.hasVersionAM
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery8b3329ec-f336-4095-8d5f-68fe7420e546

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