IDEAS home Printed from https://ideas.repec.org/a/ecb/ecbart/201900053.html
   My bibliography  Save this article

Understanding the crypto-asset phenomenon, its risks and measurement issues

Author

Listed:
  • Chimienti, Maria Teresa
  • Kochanska, Urszula
  • Pinna, Andrea

Abstract

This article discusses the crypto-asset phenomenon with a view to understanding its potential risks and enhancing its monitoring. First, it describes the characteristics of the crypto-asset phenomenon, in order to arrive at a clear definition of the scope of monitoring activities. Second, it identifies the primary risks of crypto-assets that warrant continuous monitoring – these risks could affect the stability and efficiency of the financial system and the economy – and outlines the linkages that could cause a risk spillover. Third, the article discusses how, and to what extent, publicly available data allow the identified monitoring needs to be met and, by providing some examples of indicators on market developments, offers insights into selected issues, such as the availability and reliability of data. Finally, it covers selected statistical initiatives that attempt to overcome outstanding challenges. JEL Classification: E42, G21, G23, O33, C18

Suggested Citation

  • Chimienti, Maria Teresa & Kochanska, Urszula & Pinna, Andrea, 2019. "Understanding the crypto-asset phenomenon, its risks and measurement issues," Economic Bulletin Articles, European Central Bank, vol. 5.
    • Handle: RePEc:ecb:ecbart:2019:0005:3
    Note: 3532162
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu//pub/economic-bulletin/articles/2019/html/ecb.ebart201905_03~c83aeaa44c.en.html
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Read, Oliver & Diefenbach, Carolin, 2022. "The Path to the EU Regulation Markets in Crypto-assets (MiCA)," wifin Working Paper Series 13/2022, RheinMain University of Applied Sciences, Wiesbaden Institute of Finance and Insurance (wifin).
    2. Kim, Alisa & Trimborn, Simon & Härdle, Wolfgang Karl, 2021. "VCRIX — A volatility index for crypto-currencies," International Review of Financial Analysis, Elsevier, vol. 78(C).
    3. Alexander Bystryakov & Nikolay Nenovsky & Elena Ponomarenko, 2019. "Monetary Innovations and Digital Economy," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 3-18.
    4. Srichander Ramaswamy, 2022. "The Threat of Financial Sanctions: What Safeguards Can Central Banks Build?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(3), pages 23-41, May.
    5. Schneider, Julian & Oehler, Andreas, 2021. "Competition for visibility: When do (FX) signal providers employ lotteries?," International Review of Financial Analysis, Elsevier, vol. 78(C).
    6. Angerer, Martin & Hoffmann, Christian Hugo & Neitzert, Florian & Kraus, Sascha, 2021. "Objective and subjective risks of investing into cryptocurrencies," Finance Research Letters, Elsevier, vol. 40(C).

    More about this item

    Keywords

    bitcoin; crypto-assets; definitions; indicators; linkages; methodological issues; monitoring; risks;
    All these keywords.

    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: 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:ecb:ecbart:2019:0005:3. 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: Official Publications (email available below). General contact details of provider: https://edirc.repec.org/data/emieude.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.