dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorBalieiro, R. G.
dc.creatorRosenfeld, Rogério
dc.date2014-05-20T14:08:14Z
dc.date2016-10-25T17:14:10Z
dc.date2014-05-20T14:08:14Z
dc.date2016-10-25T17:14:10Z
dc.date2004-12-15
dc.date.accessioned2017-04-05T21:44:49Z
dc.date.available2017-04-05T21:44:49Z
dc.identifierPhysica A-statistical Mechanics and Its Applications. Amsterdam: Elsevier B.V., v. 344, n. 3-4, p. 484-490, 2004.
dc.identifier0378-4371
dc.identifierhttp://hdl.handle.net/11449/23944
dc.identifierhttp://acervodigital.unesp.br/handle/11449/23944
dc.identifier10.1016/j.physa.2004.06.018
dc.identifierWOS:000225129100018
dc.identifierhttp://dx.doi.org/10.1016/j.physa.2004.06.018
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/868952
dc.descriptionThere is a well-developed framework, the Black-Scholes theory, for the pricing of contracts based on the future prices of certain assets, called options. This theory assumes that the probability distribution of the returns of the underlying asset is a Gaussian distribution. However, it is observed in the market that this hypothesis is flawed, leading to the introduction of a fudge factor, the so-called volatility smile. Therefore, it would be interesting to explore extensions of the Black-Scholes theory to non-Gaussian distributions. In this paper, we provide an explicit formula for the price of an option when the distributions of the returns of the underlying asset is parametrized by an Edgeworth expansion, which allows for the introduction of higher independent moments of the probability distribution, namely skewness and kurtosis. We test our formula with options in the Brazilian and American markets, showing that the volatility smile can be reduced. We also check whether our approach leads to more efficient hedging strategies of these instruments. (C) 2004 Elsevier B.V. All rights reserved.
dc.languageeng
dc.publisherElsevier B.V.
dc.relationPhysica A: Statistical Mechanics and Its Applications
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectoption pricing
dc.subjectnon-gaussian distribution
dc.titleTesting option pricing with the Edgeworth expansion
dc.typeOtro


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