IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v131y2004i1p45-7710.1023-banor.0000039512.98833.5a.html
   My bibliography  Save this article

On a Local-Search Heuristic for a Class of Tracking Error Minimization Problems in Portfolio Management

Author

Listed:
  • Ulrich Derigs
  • Nils-H. Nickel

Abstract

In this paper we describe a 2-phase simulated annealing heuristic approach for a special class of portfolio management problems: the problem of optimizing a stock fund with respect to tracking error and transaction costs over time subject to a set of complex constraints with a linear factor return model “feeding” the objective function with data. Our results on managing two real-world funds of a major German capital investment company have shown that this meta-heuristic provides proposals for the fund manager which are feasible with respect to the investment guidelines and excellent in quality in acceptable time. Thus the approach is ideally suited to be used routinely and interactively within a decision support system to assist the fund manager in his complex task of portfolio control and optimization. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • Ulrich Derigs & Nils-H. Nickel, 2004. "On a Local-Search Heuristic for a Class of Tracking Error Minimization Problems in Portfolio Management," Annals of Operations Research, Springer, vol. 131(1), pages 45-77, October.
  • Handle: RePEc:spr:annopr:v:131:y:2004:i:1:p:45-77:10.1023/b:anor.0000039512.98833.5a
    DOI: 10.1023/B:ANOR.0000039512.98833.5a
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/B:ANOR.0000039512.98833.5a
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/B:ANOR.0000039512.98833.5a?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Doering, Jana & Kizys, Renatas & Juan, Angel A. & Fitó, Àngels & Polat, Onur, 2019. "Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends," Operations Research Perspectives, Elsevier, vol. 6(C).
    2. Giuseppe Galloppo, 2010. "A Comparison Of Pre And Post Modern Portfolio Theory Using Resampling," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 4(1), pages 1-16.
    3. Woodside-Oriakhi, M. & Lucas, C. & Beasley, J.E., 2011. "Heuristic algorithms for the cardinality constrained efficient frontier," European Journal of Operational Research, Elsevier, vol. 213(3), pages 538-550, September.
    4. Lioui, Abraham & Poncet, Patrice, 2013. "Optimal benchmarking for active portfolio managers," European Journal of Operational Research, Elsevier, vol. 226(2), pages 268-276.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:annopr:v:131:y:2004:i:1:p:45-77:10.1023/b:anor.0000039512.98833.5a. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.