Portfolio optimization under transaction costs in the CRR model
Jörn Sass ()
Mathematical Methods of Operations Research, 2005, vol. 61, issue 2, 239-259
Abstract:
In the CRR model we introduce a transaction cost structure which covers piecewise proportional, fixed and constant costs. For a general utility function we formulate the problem of maximizing the expected utility of terminal wealth as a Markov control problem. An existence result is given and optimal strategies can be described by solutions of the dynamic programming equation. For logarithmic utility we provide detailed solutions in the one-period case and provide examples for the multi-dimensional case and for complex cost structures. For a combination of fixed and proportional costs a fast multi-period algorithm is introduced. Copyright Springer-Verlag 2005
Keywords: Portfolio optimization; Transaction costs; CRR model; Utility maximization; Markov control processes (search for similar items in EconPapers)
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00186-005-0415-8 (text/html)
Access to full text is restricted to subscribers.
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:spr:mathme:v:61:y:2005:i:2:p:239-259
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/00186
DOI: 10.1007/s00186-005-0415-8
Access Statistics for this article
Mathematical Methods of Operations Research is currently edited by Oliver Stein
More articles in Mathematical Methods of Operations Research from Springer, Gesellschaft für Operations Research (GOR), Nederlands Genootschap voor Besliskunde (NGB)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().