IDEAS home Printed from https://ideas.repec.org/a/ovi/oviste/vxxiiy2022i1p969-980.html
   My bibliography  Save this article

The Impact of Returns and Influence of Crypto Assets on Different Asset Classes

Author

Listed:
  • Andrei-Dragos Popescu

    (University of Craiova, Doctoral School of Economic Sciences, Romania)

  • Cristi-Marcel Spulbar

    (University of Craiova, Doctoral School of Economic Sciences, Romania)

Abstract

The inception of financial digital assets has attracted young, innovative and tech savvy entrepreneurs, which created the foundation for a new breed of investors. The participants of this ecosystem went through some paradigm shifts till they captured the attention of institutional investors. This market event has pushed the digital markets to new levels and forced the ecosystem to adapt to a traditional investment methodology. This paper will analyze the relationship of crypto assets with other traditional and alternative asset classes, from the perspective of their returns. The aim of this study is to analysis and explore the impact of the investment behavior, over other asset classes, of the participants which operate in dynamic, volatile and high-risk digital markets. We will try to assess how the returns generated in this novel asset class can influence the possibility of portfolio diversification, which extends towards traditional finance world and other alternative markets.

Suggested Citation

  • Andrei-Dragos Popescu & Cristi-Marcel Spulbar, 2022. "The Impact of Returns and Influence of Crypto Assets on Different Asset Classes," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 969-980, September.
    • Handle: RePEc:ovi:oviste:v:xxii:y:2022:i:1:p:969-980
    as

    Download full text from publisher

    File URL: https://stec.univ-ovidius.ro/html/anale/RO/2022-2/Section%205/27.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Financial Digital Assets; Crypto Assets; Volatility; Returns;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F60 - International Economics - - Economic Impacts of Globalization - - - General

    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:ovi:oviste:v:xxii:y:2022:i:1:p:969-980. 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: Gheorghiu Gabriela (email available below). General contact details of provider: https://edirc.repec.org/data/feoviro.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.