IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v32y2022i3d10.1007_s12525-021-00491-2.html
   My bibliography  Save this article

Do cryptocurrencies really have (no) intrinsic value?

Author

Listed:
  • Horst Treiblmaier

    (Modul University Vienna)

Abstract

Depending on the chosen perspective, cryptocurrencies either constitute a unique opportunity to end national patronizing built on debt-based fiat money (currency) or a menace to a well-established financial order that ensures economic stability. A central issue in the heated debate surrounding cryptocurrencies is whether they have any intrinsic value at all. In this conceptual position paper, we briefly summarize existing standpoints and suggest three alternative propositions: (1) to avoid using the term “intrinsic value” for the valuation of cryptocurrencies, (2) to refer to the sum total of all properties that could potentially qualify them as money, and (3) to consider the amount of capital and energy that is needed to create them. These suggestions bear substantial implications for the economic classification of cryptocurrencies.

Suggested Citation

  • Horst Treiblmaier, 2022. "Do cryptocurrencies really have (no) intrinsic value?," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1749-1758, September.
  • Handle: RePEc:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-021-00491-2
    DOI: 10.1007/s12525-021-00491-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-021-00491-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12525-021-00491-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kevin Dowd & Martin Hutchinson, 2015. "Bitcoin Will Bite the Dust," Cato Journal, Cato Journal, Cato Institute, vol. 35(2), pages 357-382, Spring/Su.
    2. Jérôme Blanc, 1998. "Free Money for Social Progress: Theory and Practice of Gesell's Accelerated Money," Post-Print halshs-02380131, HAL.
    3. Rainer Alt & Roman Beck & Martin T. Smits, 2018. "FinTech and the transformation of the financial industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 235-243, August.
    4. Bruce C. Greenwald & Joseph E. Stiglitz, 1988. "Examining Alternative Macroeconomic Theories," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 19(1), pages 207-270.
    5. Venkata Marella & Bikesh Upreti & Jani Merikivi & Virpi Kristiina Tuunainen, 2020. "Understanding the creation of trust in cryptocurrencies: the case of Bitcoin," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 259-271, June.
    6. Baron, Matthew & Brogaard, Jonathan & Hagströmer, Björn & Kirilenko, Andrei, 2019. "Risk and Return in High-Frequency Trading," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 54(3), pages 993-1024, June.
    7. Ingham, Geoffrey, 2004. "The nature of money," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 5(2), pages 18-28.
    8. Lippert, Rainer, 2019. "Was ist falsch an der Arbeitswerttheorie? Wie Wert wirklich gebildet wird [What is wrong with the labor value theory? How value is really made]," MPRA Paper 91189, University Library of Munich, Germany, revised 02 Jan 2019.
    9. Chan, Kam Fong & Marsden, Alastair, 2014. "Macro risk factors of credit default swap indices in a regime-switching framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 285-308.
    10. Sean Foley & Jonathan R Karlsen & Tālis J Putniņš, 2019. "Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1798-1853.
    11. Nadine Kathrin Ostern, 2020. "Blockchain in the IS research discipline: a discussion of terminology and concepts," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 195-210, June.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Rainer Alt, 2022. "Electronic Markets on platform culture," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1019-1031, September.

    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. Ferdinand Thies & Sören Wallbach & Michael Wessel & Markus Besler & Alexander Benlian, 2022. "Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1691-1705, September.
    2. Roger W.H. Bons & Johan Versendaal & Liudmila Zavolokina & Weidong Larry Shi, 2020. "Potential and limits of Blockchain technology for networked businesses," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(2), pages 189-194, June.
    3. Thies, Ferdinand & Wallbach, Sören & Wessel, Michael & Besler, Markus & Benlian, Alexander, 2024. "Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144179, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Nora Nahr & Marikka Heikkilä, 2022. "Uncovering the identity of Electronic Markets research through text mining techniques," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1257-1277, September.
    5. Umlauft, Thomas, 2018. "Is Bitcoin Money? An Economic-Historical Analysis of Money, Its Functions and Its Prerequisites," MPRA Paper 99302, University Library of Munich, Germany, revised Aug 2018.
    6. Dulani Jayasuriya Daluwathumullagamage & Alexandra Sims, 2021. "Fantastic Beasts: Blockchain Based Banking," JRFM, MDPI, vol. 14(4), pages 1-43, April.
    7. Lars Hornuf & Paul P. Momtaz & Rachel J. Nam & Ye Yuan, 2023. "Cybercrime on the Ethereum Blockchain," CESifo Working Paper Series 10598, CESifo.
    8. Timothy King & Dimitrios Koutmos & Francesco Saverio Stentella Lopes, 2021. "Cryptocurrency Mining Protocols: A Regulatory and Technological Overview," Palgrave Studies in Financial Services Technology, in: Timothy King & Francesco Saverio Stentella Lopes & Abhishek Srivastav & Jonathan Williams (ed.), Disruptive Technology in Banking and Finance, edition 1, chapter 0, pages 93-134, Palgrave Macmillan.
    9. Julia Reynolds & Leopold Sögner & Martin Wagner, 2021. "Deviations from Triangular Arbitrage Parity in Foreign Exchange and Bitcoin Markets," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(2), pages 105-146, June.
    10. Josh Ryan-Collins, 2015. "Is Monetary Financing Inflationary? A Case Study of the Canadian Economy, 1935-75," Economics Working Paper Archive wp_848, Levy Economics Institute.
    11. Mustafa Raza Rabbani & Shahnawaz Khan & Eleftherios I. Thalassinos, 2020. "FinTech, Blockchain and Islamic Finance: An Extensive Literature Review," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 65-86.
    12. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    13. Corbet, Shaen & Cumming, Douglas J. & Lucey, Brian M. & Peat, Maurice & Vigne, Samuel A., 2020. "The destabilising effects of cryptocurrency cybercriminality," Economics Letters, Elsevier, vol. 191(C).
    14. Goodell, John W. & Goutte, Stephane, 2021. "Co-movement of COVID-19 and Bitcoin: Evidence from wavelet coherence analysis," Finance Research Letters, Elsevier, vol. 38(C).
    15. Cordelius Ilgmann & Martin Menner, 2011. "Negative nominal interest rates: history and current proposals," International Economics and Economic Policy, Springer, vol. 8(4), pages 383-405, December.
    16. Kang, Jongho & Kang, Jangkoo & Kwon, Kyung Yoon, 2022. "Market versus limit orders of speculative high-frequency traders and price discovery," Research in International Business and Finance, Elsevier, vol. 63(C).
    17. Itay Goldstein & Wei Jiang & G Andrew Karolyi, 2019. "To FinTech and Beyond," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1647-1661.
    18. Febrero-Bande, Manuel & González-Manteiga, Wenceslao & Prallon, Brenda & Saporito, Yuri F., 2023. "Functional classification of bitcoin addresses," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    19. Raffaele Fabio Ciriello & Alexandra Cecilie Gjøl Torbensen & Magnus Rotvit Perlt Hansen & Christoph Müller-Bloch, 2023. "Blockchain-based digital rights management systems: Design principles for the music industry," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    20. Chao Liang & Yaojie Zhang & Xiafei Li & Feng Ma, 2022. "Which predictor is more predictive for Bitcoin volatility? And why?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 1947-1961, April.

    More about this item

    Keywords

    Blockchain; Distributed ledger technology; Cryptocurrencies; Value; Intrinsic value;
    All these keywords.

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E14 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Austrian; Evolutionary; Institutional
    • D46 - Microeconomics - - Market Structure, Pricing, and Design - - - Value Theory
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-021-00491-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.