Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00780-004-0128-5
DC FieldValue
dc.titleAn approximation pricing algorithm in an incomplete market: A differential geometric approach
dc.contributor.authorGao, Y.
dc.contributor.authorLim, K.G.
dc.contributor.authorNg, K.H.
dc.date.accessioned2014-10-28T02:30:05Z
dc.date.available2014-10-28T02:30:05Z
dc.date.issued2004-11
dc.identifier.citationGao, Y., Lim, K.G., Ng, K.H. (2004-11). An approximation pricing algorithm in an incomplete market: A differential geometric approach. Finance and Stochastics 8 (4) : 501-523. ScholarBank@NUS Repository. https://doi.org/10.1007/s00780-004-0128-5
dc.identifier.issn09492984
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/102821
dc.description.abstractThe minimal distance equivalent martingale measure (EMM) defined in Goll and Rüschendorf (2001) is the arbitrage-free equilibrium pricing measure. This paper provides an algorithm to approximate its density and the fair price of any contingent claim in an incomplete market. We first approximate the infinite dimensional space of all EMMs by a finite dimensional manifold of EMMs. A Riemannian geometric structure is shown on the manifold. An optimization algorithm on the Riemannian manifold becomes the approximation pricing algorithm. The financial interpretation of the geometry is also given in terms of pricing model risk. © Springer-Verlag 2004.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/s00780-004-0128-5
dc.sourceScopus
dc.subjectAsset pricing
dc.subjectCross entropy
dc.subjectIncomplete markets
dc.subjectRiemannian manifold
dc.typeArticle
dc.contributor.departmentMATHEMATICS
dc.description.doi10.1007/s00780-004-0128-5
dc.description.sourcetitleFinance and Stochastics
dc.description.volume8
dc.description.issue4
dc.description.page501-523
dc.identifier.isiut000224723300003
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.