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A linear programming algorithm for optimal portfolio selection with transaction costs

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Abstract

We study the optimal portfolio selection problem with transaction costs. In general, the efficient frontier can be determined by solving a parametric non-quadratic programming problem. In a general setting, the transaction cost is a V-shaped function of difference between the existing and the new portfolio. We show how to transform this problem into a quadratic programming model. Hence a linear programming algorithm is applicable by establishing a linear approximation on the utility function of return and variance.
Original languageEnglish
Pages (from-to)107-117
JournalInternational Journal of Systems Science
Volume31
Issue number1
DOIs
Publication statusPublished - Jan 2000

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work isuporptdebytehNatonial Natraul Scinece FoundtinaofChianadastraegictresearch grant from tehCity University of Hong Kng. o

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