IDEAS home Printed from https://ideas.repec.org/a/ath/journl/v58y2020i2p22-32.html
   My bibliography  Save this article

Virtual Currency And Global Business - The New Trend In The Net-Economy

Author

Listed:
  • Cătălin DUMITRESCU

    (Athenaeum University, Bucharest, Romania)

  • Matei DUMITRESCU

    (Department FABIZ, University of Economic Studies, Romania)

Abstract

The rapid development of information technology has made generating cryptocurrencies and fast, cheap and uncontrollable transactions using virtual space possible. Among virtual currencies, Bitcoin is considered to be a major challenge for traditional financial operations, and especially for the fight against money laundering and terrorist financing. This article presents the following points of discussion: the spectacular appearance of Bitcoin, its exponential evolution, its popularity, its growing demand, lack of anonymity and predictability, the cross-border nature of transactions.

Suggested Citation

  • Cătălin DUMITRESCU & Matei DUMITRESCU, 2020. "Virtual Currency And Global Business - The New Trend In The Net-Economy," Internal Auditing and Risk Management, Athenaeum University of Bucharest, vol. 58(2), pages 22-32, June.
  • Handle: RePEc:ath:journl:v:58:y:2020:i:2:p:22-32
    as

    Download full text from publisher

    File URL: http://aimr.univath.ro/download/1225_002CDM.pdf
    Download Restriction: no

    File URL: http://aimr.univath.ro/en/article/VIRTUAL-CURRENCY-AND-GLOBAL-BUSINESS--THE-NEW-TREND-IN-THE-NET-ECONOMY~1225.html
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Blockchain; Ledger Technology; Bitcoin; ETH; cryptocurrency; cryptography; technology; digital;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    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:ath:journl:v:58:y:2020:i:2:p:22-32. 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: Cosmin Catalin Olteanu and Emilia Vasile (email available below). General contact details of provider: https://edirc.repec.org/data/feathro.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.