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Computational methods in portfolio insurance

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dc.contributor.author Katsikis, VN en
dc.date.accessioned 2014-03-01T01:26:02Z
dc.date.available 2014-03-01T01:26:02Z
dc.date.issued 2007 en
dc.identifier.issn 0096-3003 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17893
dc.subject Computational methods en
dc.subject Lattice-subspaces en
dc.subject Matlab en
dc.subject Portfolio insurance en
dc.subject Positive basis en
dc.subject.classification Mathematics, Applied en
dc.subject.other Algorithms en
dc.subject.other Computational methods en
dc.subject.other Cost effectiveness en
dc.subject.other Optimization en
dc.subject.other Project management en
dc.subject.other Vectors en
dc.subject.other Lattice-subspaces en
dc.subject.other Portfolio insurance en
dc.subject.other Positive basis en
dc.subject.other Insurance en
dc.title Computational methods in portfolio insurance en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.amc.2006.11.054 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.amc.2006.11.054 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract In this article we develop a computational method for an algorithmic process first posed by Abramovich-Aliprantis-Polyrakis in 1994 in order to check whether a finite collection of linearly independent positive vectors in R-m forms a lattice-subspace. Lattice-subspaces are closely related to a cost minimization problem in the theory of finance that ensures the minimum-cost insured portfolio and this connection is further investigated here. Finally, we propose a computational method in order to solve the minimization problem and to calculate the minimum-cost insured portfolio. All of the numerical work is performed using the Matlab high-level language. (c) 2006 Elsevier Inc. All rights reserved. en
heal.publisher ELSEVIER SCIENCE INC en
heal.journalName Applied Mathematics and Computation en
dc.identifier.doi 10.1016/j.amc.2006.11.054 en
dc.identifier.isi ISI:000247328400002 en
dc.identifier.volume 189 en
dc.identifier.issue 1 en
dc.identifier.spage 9 en
dc.identifier.epage 22 en


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