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dc.contributor.authorWang, Song
dc.contributor.authorZhang, S.
dc.contributor.authorFang, Z.
dc.date.accessioned2017-01-30T15:34:07Z
dc.date.available2017-01-30T15:34:07Z
dc.date.created2015-05-24T20:00:40Z
dc.date.issued2015
dc.identifier.citationWang, S. and Zhang, S. and Fang, Z. 2015. A Superconvergent Fitted Finite Volume Method for Black–Scholes Equations Governing European and American Option Valuation. Numerical Methods for Partial Differential Equations. 31 (4): pp. 1190-1208.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/47553
dc.identifier.doi10.1002/num.21941
dc.description.abstract

We develop a superconvergent fitted finite volume method for a degenerate nonlinear penalized Black–Scholes equation arising in the valuation of European and American options, based on the fitting idea in Wang [IMA J Numer Anal 24 (2004), 699–720]. Unlike conventional finite volume methods in which the dual mesh points are naively chosen to be the midpoints of the subintervals of the primal mesh, we construct the dual mesh judiciously using an error representation for the flux interpolation so that both the approximate flux and solution have the second-order accuracy at the mesh points without any increase in computational costs. As the equation is degenerate, we also show that it is essential to refine the meshes locally near the degenerate point in order to maintain the second-order accuracy. Numerical results for both European and American options with constant and nonconstant coefficients will be presented to demonstrate the superconvergence of the method.

dc.publisherWiley Periodicals, Inc.
dc.subjectsuperconvergence
dc.subjectfitted finite volume methods
dc.subjectBlack–Scholes equation
dc.titleA Superconvergent Fitted Finite Volume Method for Black–Scholes Equations Governing European and American Option Valuation
dc.typeJournal Article
dcterms.source.volume31
dcterms.source.number4
dcterms.source.startPage1190
dcterms.source.endPage1208
dcterms.source.issn1098-2426
dcterms.source.titleNumerical Methods for Partial Differential Equations
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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