Please use this identifier to cite or link to this item: https://doi.org/10.1007/s00780-004-0128-5
Title: An approximation pricing algorithm in an incomplete market: A differential geometric approach
Authors: Gao, Y.
Lim, K.G.
Ng, K.H. 
Keywords: Asset pricing
Cross entropy
Incomplete markets
Riemannian manifold
Issue Date: Nov-2004
Citation: Gao, 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
Abstract: The 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.
Source Title: Finance and Stochastics
URI: http://scholarbank.nus.edu.sg/handle/10635/102821
ISSN: 09492984
DOI: 10.1007/s00780-004-0128-5
Appears in Collections:Staff Publications

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