IDEAS home Printed from https://ideas.repec.org/a/diw/diwvjh/87-3-6.html
   My bibliography  Save this article

Verteilungseigenschaften der Renditen von Kryptowährungen: sind sie mit Aktien vergleichbar?

Author

Listed:
  • Armin Varmaz
  • Stephan Abée

Abstract

There are more than 1,500 other cryptocurrencies, which differ significantly from each other in terms of their usage or the underlying blockchain technology. Most of these cryptocurrencies can be traded on exchanges and can serve as investment instruments. In this paper, the empirical distribution properties of their returns for a very broad cross-section are examined and compared with those of stock returns. Returns on cryptocurrencies have several characteristics similar to equity returns: Returns are more likely observable around the averages; the autocorrelation of returns is very weak; the phenomenon of volatility clustering and the asymmetry of gains and losses do exist; the factor analysis of the returns reveals that one factor (the first principal component) explains about 60 percent of the common variation of returns; there is a weekday effect. However, there are some differences. For example, no heavy-tails can be identified and the momentum effect is only very weak. The results suggest that the stylezed facts of cryptocurrency returns are not very different from stock returns. Neben Bitcoin existieren über 1 500 weitere Kryptowährungen, die sich durch die Art der Nutzung oder durch die zugrunde liegende Blockchain-Technologie voneinander erheblich unterscheiden. Die meisten dieser Währungen lassen sich auf Börsen und Marktplätzen handeln und können als Investitionsobjekte dienen. In diesem Beitrag werden die empirischen Verteilungseigenschaften ihrer Renditen für einen sehr breiten Querschnitt untersucht und mit denen von Aktienrenditen verglichen. Die Renditen von Kryptowährungen weisen viele ähnliche Charakteristika zu den Aktienrenditen auf: Renditebeobachtungen häufen sich um den Erwartungswert, die Autokorrelation ist, wenn überhaupt, nur sehr schwach, das Phänomen des Volatility-Clusterings und der Asymmetrie von Gewinnen und Verlusten ist vorhanden, ein Faktor kann circa 60 Prozent der gemeinsamen Variation der Renditen erklären und es existiert ein Wochentageffekt. Dagegen können im Querschnitt der Kryptowährungen keine Heavy-Tails identifiziert werden und der Momentum-Effekt ist nur sehr schwach ausgeprägt. Die Ergebnisse lassen die Vermutung zu, nach der die Renditeeigenschaften von Kryptowährungen nicht wesentlich von denen der Aktien abweichen.

Suggested Citation

  • Armin Varmaz & Stephan Abée, 2018. "Verteilungseigenschaften der Renditen von Kryptowährungen: sind sie mit Aktien vergleichbar?," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 87(3), pages 83-105.
  • Handle: RePEc:diw:diwvjh:87-3-6
    DOI: 10.3790/vjh.87.3.83
    as

    Download full text from publisher

    File URL: https://doi.org/10.3790/vjh.87.3.83
    Download Restriction: no

    File URL: https://libkey.io/10.3790/vjh.87.3.83?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
    ---><---

    More about this item

    Keywords

    Kryptowährung; Bitcoin; Renditen; Verteilungen; PCA; Kryptoportfolios;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:diw:diwvjh:87-3-6. 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: Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/diwbede.html .

    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.