IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1802.09959.html
   My bibliography  Save this paper

Valuation, Liquidity Price, and Stability of Cryptocurrencies

Author

Listed:
  • Carey Caginalp
  • Gunduz Caginalp

Abstract

Cryptocurrencies are examined through the asset flow equations and experimental asset markets. Since tangible value of a typical cryptocurrency is non-existent, the theory suggests that price will gravitate toward liquidity value, i.e., the total amount of cash available for purchase of the asset divided by the number of units. Thus it is unlikely that cryptocurrencies in their current form will be stable in the absence of a mechanism of a link to value.

Suggested Citation

  • Carey Caginalp & Gunduz Caginalp, 2018. "Valuation, Liquidity Price, and Stability of Cryptocurrencies," Papers 1802.09959, arXiv.org.
  • Handle: RePEc:arx:papers:1802.09959
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1802.09959
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert J. Shiller, 2015. "Irrational Exuberance," Economics Books, Princeton University Press, edition 3, number 10421.
    2. Caginalp, Gunduz & DeSantis, Mark & Sayrak, Akin, 2014. "The nonlinear price dynamics of U.S. equity ETFs," Journal of Econometrics, Elsevier, vol. 183(2), pages 193-201.
    3. Reshmaan N. Hussam & David Porter & Vernon L. Smith, 2008. "Thar She Blows: Can Bubbles Be Rekindled with Experienced Subjects?," American Economic Review, American Economic Association, vol. 98(3), pages 924-937, June.
    4. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    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. Carl Luft & Jin Man Lee & Jin W. Choi, 2019. "“Chicago Mercantile Exchange Bitcoin Futures: Volatility, Liquidity and Margin”," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 69(3), pages 55-74, July-Sept.
    2. Vernon L. Smith, 2020. "Causal versus Consequential Motives in Mental Models of Agent Social and Economic Action: Experiments, and the Neoclassical Diversion in Economics," Kyklos, Wiley Blackwell, vol. 73(3), pages 341-370, August.
    3. Pınar Kaya Soylu & Mustafa Okur & Özgür Çatıkkaş & Z. Ayca Altintig, 2020. "Long Memory in the Volatility of Selected Cryptocurrencies: Bitcoin, Ethereum and Ripple," JRFM, MDPI, vol. 13(6), pages 1-21, May.
    4. Carey Caginalp, 2018. "A Dynamical Systems Approach to Cryptocurrency Stability," Papers 1805.03143, arXiv.org.
    5. Flori, Andrea, 2019. "News and subjective beliefs: A Bayesian approach to Bitcoin investments," Research in International Business and Finance, Elsevier, vol. 50(C), pages 336-356.
    6. Stefano Martinazzi & Daniele Regoli & Andrea Flori, 2020. "A Tale of Two Layers: The Mutual Relationship between Bitcoin and Lightning Network," Risks, MDPI, vol. 8(4), pages 1-18, December.
    7. Garrison Hongyu Song, 2023. "Valuation of Cryptocurrency Without Intrinsic Value: A Promise of Future Payment System and Implications to De-dollarization," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 49(2), pages 221-248, April.
    8. Ke Wu & Spencer Wheatley & Didier Sornette, 2018. "Classification of cryptocurrency coins and tokens by the dynamics of their market capitalisations," Papers 1803.03088, arXiv.org, revised May 2018.

    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. Amos Nadler & Peiran Jiao & Cameron J. Johnson & Veronika Alexander & Paul J. Zak, 2019. "The Bull of Wall Street: Experimental Analysis of Testosterone and Asset Trading," Management Science, INFORMS, vol. 64(9), pages 4032-4051, September.
    2. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
    3. Caginalp, Gunduz & DeSantis, Mark, 2017. "Does price efficiency increase with trading volume? Evidence of nonlinearity and power laws in ETFs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 436-452.
    4. Halim, Edward & Riyanto, Yohanes Eko & Roy, Nilanjan, 2016. "Price Dynamics and Consumption Smoothing in Experimental Asset Markets," MPRA Paper 71631, University Library of Munich, Germany.
    5. Corgnet, Brice & Hernán-González, Roberto & Kujal, Praveen, 2020. "On booms that never bust: Ambiguity in experimental asset markets with bubbles," Journal of Economic Dynamics and Control, Elsevier, vol. 110(C).
    6. Ciril Bosch-Rosa & Thomas Meissner & Antoni Bosch-Domènech, 2018. "Cognitive bubbles," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 132-153, March.
    7. Huan Xie & Jipeng Zhang, 2016. "Bubbles and experience: An experiment with a steady inflow of new traders," Southern Economic Journal, John Wiley & Sons, vol. 82(4), pages 1349-1373, April.
    8. Timothy N. Cason & Anya Samek, 2015. "Learning through passive participation in asset market bubbles," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(2), pages 170-181, December.
    9. Eizo Akiyama & Nobuyuki Hanaki & Ryuichiro Ishikawa, 2017. "It is Not Just Confusion! Strategic Uncertainty in An Experimental Asset Market," Economic Journal, Royal Economic Society, vol. 127(605), pages 563-580, October.
    10. Stephen Cheung & Stefan Palan, 2012. "Two heads are less bubbly than one: team decision-making in an experimental asset market," Experimental Economics, Springer;Economic Science Association, vol. 15(3), pages 373-397, September.
    11. Corgnet, Brice & Kujal, Praveen & Porter, David, 2010. "The effect of reliability, content and timing of public announcements on asset trading behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 254-266, November.
    12. Ernan Haruvy & Charles N. Noussair & Owen Powell, 2014. "The Impact of Asset Repurchases and Issues in an Experimental Market," Review of Finance, European Finance Association, vol. 18(2), pages 681-713.
    13. Hong, Jieying & Moinas, Sophie & Pouget, Sébastien, 2021. "Learning in speculative bubbles: Theory and experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 1-26.
    14. Palan, Stefan, 2010. "Digital options and efficiency in experimental asset markets," Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 506-522, September.
    15. Taylor Jaworski & Erik O. Kimbrough, 2016. "Bubbles, Crashes, And Endogenous Uncertainty In Linked Asset And Product Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 57(1), pages 155-176, February.
    16. Brice Corgnet & Roberto Hernán-González & Praveen Kujal & David Porter, 2015. "The Effect of Earned Versus House Money on Price Bubble Formation in Experimental Asset Markets," Review of Finance, European Finance Association, vol. 19(4), pages 1455-1488.
    17. Akiyama, Eizo & Hanaki, Nobuyuki & Ishikawa, Ryuichiro, 2014. "How do experienced traders respond to inflows of inexperienced traders? An experimental analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 1-18.
    18. Bao, Te & Hommes, Cars & Pei, Jiaoying, 2021. "Expectation formation in finance and macroeconomics: A review of new experimental evidence," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    19. Steven Tucker & Yilong Xu, 2024. "Motivations to speculate are the driving forces in experimental asset market bubbles," Working Papers in Economics 24/02, University of Waikato.
    20. Michael Kirchler & Jurgen Huber & Thomas Stockl, 2012. "Thar She Bursts: Reducing Confusion Reduces Bubbles," American Economic Review, American Economic Association, vol. 102(2), pages 865-883, April.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:1802.09959. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.