IDEAS home Printed from https://ideas.repec.org/h/spr/sptchp/978-3-319-16571-4_3.html
   My bibliography  Save this book chapter

Solution to the Markowitz Optimization Problem

In: Mathematical Financial Economics

Author

Listed:
  • Igor V. Evstigneev

    (University of Manchester)

  • Thorsten Hens

    (University of Zurich)

  • Klaus Reiner Schenk-Hoppé

    (University of Manchester)

Abstract

The chapter continues the study of the Markowitz model. The reader will learn how to compute an efficient portfolio with the given risk tolerance. The highlight is an explicit formula for efficient portfolios, rigorously derived and comprehensively discussed. The chapter analyses the minimum variance portfolio and the return-generating self-financing portfolio involved in the solution to the Markowitz optimization problem. It concludes with explaining the linear structure of the set of efficient portfolios.

Suggested Citation

  • Igor V. Evstigneev & Thorsten Hens & Klaus Reiner Schenk-Hoppé, 2015. "Solution to the Markowitz Optimization Problem," Springer Texts in Business and Economics, in: Mathematical Financial Economics, edition 127, chapter 3, pages 19-25, Springer.
  • Handle: RePEc:spr:sptchp:978-3-319-16571-4_3
    DOI: 10.1007/978-3-319-16571-4_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Ahmar, Ansari Saleh & Arifin, Andi Nurani Mangkawani, 2017. "Optimalisasi Risiko Saham Menggunakan Optimalisasi Portofolio Markowitz (Studi Kasus Saham Di Indonesia)," INA-Rxiv 5v27k, Center for Open Science.

    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:sptchp:978-3-319-16571-4_3. 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.