IDEAS home Printed from https://ideas.repec.org/a/ist/journl/v71y2021ixip81-102.html
   My bibliography  Save this article

Application of Quantity Theory of Money in Cryptocurrencies: Example of Bitcoin and the Impact of Covid-19

Author

Listed:
  • Seren Firat

    (Istanbul Gelisim University, Vocational School / Logistics Program, Istanbul Turkey)

  • Esat Dasdemir

    (Istanbul Gelisim University, Vocational School/Foreign Trade Program, Istanbul, Turkey)

Abstract

This study tests the validity of the quantity theory for cryptocurrencies. They have been on the agenda of financial markets in recent years, and they are perceived as a new type of money. Considering the historical development of money, the emergence of cryptocurrencies is similar to the evolution of traditional currency. Therefore, great deficiency exists in the in the existing literature because money rules are not tested for cryptocurrencies, which have been referred to as the money of the future. Within the scope of this study, releases and the use of cryptocurrencies were comparatively discussed with other types of money, and Fisher’s quantity theory model was tested for crypto coins. Using the market value and amount of Bitcoin, the time series analysis is performed with monthly frequency data covering a period from August 2010 to April 2021. As a result of the analysis, it is understood that a linear relationship prevails between the amount and value of Bitcoin. The main reason for this situation can be explained by cryptocurrency mining activities that use the blockchain method. the econometric analysis shows that the Covid-19 outbreak has strengthened the positive relationship between Bitcoin amount and market value. To understand the results of the analysis and fill the gap in the literature, issues such as money supply, emission and seigniorage income for cryptocurrencies are discussed and the operating processes for each are explained. This study contributes to the literature by showing that the Fisher Quantity Theory is not valid for cryptocurrencies.

Suggested Citation

  • Seren Firat & Esat Dasdemir, 2021. "Application of Quantity Theory of Money in Cryptocurrencies: Example of Bitcoin and the Impact of Covid-19," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 71(1), pages 81-102, June.
    • Handle: RePEc:ist:journl:v:71:y:2021:i:xi:p:81-102
    DOI: 10.26650/ISTJECON2021-879423
    as

    Download full text from publisher

    File URL: https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/765729C8C2FD490E98ED90ABFC1D6CC2
    Download Restriction: no
    File URL: https://iupress.istanbul.edu.tr/en/journal/ije/article/kripto-paralarda-miktar-teorisi-uygulamasi-bitcoin-ornegi-ve-covid-19-salginin-etkisi
    Download Restriction: no
    File URL: https://libkey.io/10.26650/ISTJECON2021-879423?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
    ---><---

    References listed on IDEAS

    as
    1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    2. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    3. Breusch, T S & Pagan, A R, 1979. "A Simple Test for Heteroscedasticity and Random Coefficient Variation," Econometrica, Econometric Society, vol. 47(5), pages 1287-1294, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael O'Connor Keefe & David Gallagher, 2014. "Does the effect of revealed private information on initial public offering (IPO) first trading day return differ by IPO market heat?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(3), pages 921-964, September.
    2. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    3. Russell Davidson & Victoria Zinde‐Walsh, 2017. "Advances in specification testing," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 50(5), pages 1595-1631, December.
    4. Cem Ertur & Julie Le Gallo & Catherine Baumont, 2006. "The European Regional Convergence Process, 1980-1995: Do Spatial Regimes and Spatial Dependence Matter?," International Regional Science Review, , vol. 29(1), pages 3-34, January.
    5. Hinsche, Isabelle Cathérine, 2021. "A greenium for the next generation EU green bonds: Analysis of a potential green bond premium and its drivers," CFS Working Paper Series 663, Center for Financial Studies (CFS).
    6. Apergis, Nicholas, 2015. "Policy risks, technological risks and stock returns: New evidence from the US stock market," Economic Modelling, Elsevier, vol. 51(C), pages 359-365.
    7. Vadim Kufenko & Niels Geiger, 2017. "Stylized Facts of the Business Cycle: Universal Phenomenon, or Institutionally Determined?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 13(2), pages 165-187, November.
    8. Wooldridge, Jeffrey M., 1991. "On the application of robust, regression- based diagnostics to models of conditional means and conditional variances," Journal of Econometrics, Elsevier, vol. 47(1), pages 5-46, January.
    9. José M. Belbute & Alfredo M. Pereira, 2021. "The Relationship between Consumption and CO 2 Emissions: Evidence for Portugal," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
    10. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    11. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654.
    12. Carla Norrlof & William C. Wohlforth, 2019. "Is US grand strategy self-defeating? Deep engagement, military spending and sovereign debt," Conflict Management and Peace Science, Peace Science Society (International), vol. 36(3), pages 227-247, May.
    13. Aninday Banerjee & Markus Eberhardt & J James Reade, 2010. "Panel Estimation for Worriers," Discussion Papers 10-33, Department of Economics, University of Birmingham.
    14. Troeger, Vera, 2012. "De Facto Capital Mobility, Equality, and Tax Policy in Open Economies," CAGE Online Working Paper Series 84, Competitive Advantage in the Global Economy (CAGE).
    15. Lijuan Huo & Jin Seo Cho, 2021. "Testing for the sandwich-form covariance matrix of the quasi-maximum likelihood estimator," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(2), pages 293-317, June.
    16. Lijuan Huo & Jin Seo Cho, 2019. "Testing for the Sandwich-Form Covariance Matrix Applied to Quasi-Maximum Likelihood Estimation Using Economic and Energy Price Growth Rates," Working papers 2019rwp-152, Yonsei University, Yonsei Economics Research Institute.
    17. Alfredo R. Paloyo, 2014. "When did we begin to spell Òheteros*edasticityÓ correctly?," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 51(1), pages 162-178, June.
    18. Poumanyvong, Phetkeo & Kaneko, Shinji, 2010. "Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis," Ecological Economics, Elsevier, vol. 70(2), pages 434-444, December.
    19. Carlos Alano Soares de Almeida & Jansen Maia Del Corso & Leonardo Andrade Rocha & Wesley Vieira da Silva & Claudimar Pereira da Veiga, 2019. "Innovation and Performance: The Impact of Investments in R&D According to the Different Levels of Productivity of Firms," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1-21, August.
    20. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.

    More about this item

    Keywords

    Cryptocurrency; Quantity theory; Covid-19 JEL Classification : E41 ; E51 ; G10;
    All these keywords.

    JEL classification:

    • E41 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Demand for Money
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    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:ist:journl:v:71:y:2021:i:xi:p:81-102. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ertugrul YASAR (email available below). General contact details of provider: https://edirc.repec.org/data/ifisttr.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.