IDEAS home Printed from https://ideas.repec.org/h/spr/spochp/978-1-4614-3773-4_9.html
   My bibliography  Save this book chapter

Markov Chains in Modelling of the Russian Financial Market

In: Financial Decision Making Using Computational Intelligence

Author

Listed:
  • Grigory A. Bautin

    (National Research University Higher School of Economics, Lab LATNA)

  • Valery A. Kalyagin

    (National Research University Higher School of Economics, Lab LATNA)

Abstract

We use Markov chains models for the analysis of Russian stock market. First problem studied in the chapter is concerned with multiperiod portfolio optimization. We show that known approaches applied for the Russian stock market produce the phenomena of nonstability and propose a new method in order to smooth it. The second problem concerns the structural changes in the Russian stock market after the financial crisis of 2008. We propose a hidden Markov chain model to analyze structural changes and apply it to the Russian stock market.

Suggested Citation

  • Grigory A. Bautin & Valery A. Kalyagin, 2012. "Markov Chains in Modelling of the Russian Financial Market," Springer Optimization and Its Applications, in: Michael Doumpos & Constantin Zopounidis & Panos M. Pardalos (ed.), Financial Decision Making Using Computational Intelligence, edition 127, chapter 0, pages 233-251, Springer.
    • Handle: RePEc:spr:spochp:978-1-4614-3773-4_9
    DOI: 10.1007/978-1-4614-3773-4_9
    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.

    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:spochp:978-1-4614-3773-4_9. 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.