EconPapers    
Economics at your fingertips  
 

Computational Algorithms for Vertical Complementarity Arising in Finance

Berç Rustem (), Tetsuya Noguchi () and Michael Selby ()
Additional contact information
Berç Rustem: Imperial College
Tetsuya Noguchi: Imperial College
Michael Selby: Imperial College

No 931, Computing in Economics and Finance 1999 from Society for Computational Economics

Abstract: We consider efficient computational algorithms for vertical complementarity problems. Vertical complementarity represents the equilibrium relationship among functions such that min (F1(x),...,Fm(x))=0 . This form is more general than the ordinary complementarity relationship, min (x, F(x))=0 . We consider an application in finance in terms of an option-hedging problem under transaction costs formulated as a singular stochastic control problem. This is expressed as a quasi-variational inequality. It is fully nonlinear and non-differentiable and belongs to a class of multi-dimensional free boundary problems equivalent to a vertical complementarity problem. In order to solve the quasi-variational inequality, alternative formulations are investigated. In addition, efficient numerical schemes are considered to provide a numerical solution.

Date: 1999-03-01
New Economics Papers: this item is included in nep-fin
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.doc.ic.ac.uk/~tn4 main text (text/html)
Our link check indicates that this URL is bad, the error code is: 404 Not Found (http://www.doc.ic.ac.uk/~tn4 [302 Found]--> http://www.doc.ic.ac.uk/~tn4/)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf9:931

Access Statistics for this paper

More papers in Computing in Economics and Finance 1999 from Society for Computational Economics CEF99, Boston College, Department of Economics, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().

 
Page updated 2025-03-20
Handle: RePEc:sce:scecf9:931