IDEAS home Printed from https://ideas.repec.org/a/vrs/ceuecj/v7y2020i54p33-55n2.html
   My bibliography  Save this article

Cryptocurrencies as an asset class in portfolio optimisation

Author

Listed:
  • Holovatiuk Olha

    (Master in Quantitative Finance, University of Warsaw, Master in International Economics, Odessa National Economic University)

Abstract

In this paper, cryptocurrencies are analysed as investment instruments. The study aims to verify whether they can be classified as an asset class and what kind of benefits they may bring to the investor's portfolio. We used 6 indices as proxies for the major asset classes, including the cryptocurrency index CRIX, for all cryptographic assets.

Suggested Citation

  • Holovatiuk Olha, 2020. "Cryptocurrencies as an asset class in portfolio optimisation," Central European Economic Journal, Sciendo, vol. 7(54), pages 33-55, January.
  • Handle: RePEc:vrs:ceuecj:v:7:y:2020:i:54:p:33-55:n:2
    DOI: 10.2478/ceej-2020-0004
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/ceej-2020-0004
    Download Restriction: no

    File URL: https://libkey.io/10.2478/ceej-2020-0004?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
    ---><---

    Citations

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


    Cited by:

    1. Liebi, Luca J., 2022. "Is there a value premium in cryptoasset markets?," Economic Modelling, Elsevier, vol. 109(C).

    More about this item

    Keywords

    cryptocurrencies; blockchain technology; asset class; portfolio optimisation; Modern Portfolio Theory; Post-Modern Portfolio Theory;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    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:vrs:ceuecj:v:7:y:2020:i:54:p:33-55:n:2. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.