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Understanding Cryptocurrencies

Author

Listed:
  • Härdle, Wolfgang Karl
  • Harvey, Campbell R.
  • Reule, Raphael C. G.

Abstract

Cryptocurrencies refer to a type of digital cash that use distributed ledger - or blockchain technology - to provide secure transactions. These currencies are generally misunderstood. While initially dismissed as fads or bubbles, many large central banks are considering launching their own version of national cryptocurrencies. In contrast to most data in nancial economics, there is a plethora of detailed (free) data on the history of every transaction for the cryptocurrency complex. Further, there is little empirically-oriented research on this new asset class. This is an extraordinary research opportunity for academia. We provide a starting point by giving an insight into cryptocurrency mechanisms and detailing summary statistics and focusing on potential future research avenues in nancial economics.

Suggested Citation

  • Härdle, Wolfgang Karl & Harvey, Campbell R. & Reule, Raphael C. G., 2018. "Understanding Cryptocurrencies," IRTG 1792 Discussion Papers 2018-044, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    • Handle: RePEc:zbw:irtgdp:2018044
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    1. Stefano Bistarelli & Alessandra Cretarola & Gianna Figà-Talamanca & Marco Patacca, 2019. "Model-based arbitrage in multi-exchange models for Bitcoin price dynamics," Digital Finance, Springer, vol. 1(1), pages 23-46, November.
    2. Dominique Guégan & Christophe Hénot, 2018. "A Probative Value for Authentication Use Case Blockchain," Documents de travail du Centre d'Economie de la Sorbonne 18022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    3. Adhami, Saman & Giudici, Giancarlo & Martinazzi, Stefano, 2018. "Why do businesses go crypto? An empirical analysis of initial coin offerings," Journal of Economics and Business, Elsevier, vol. 100(C), pages 64-75.
    4. Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
    5. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta, 2019. "The Blockchain Folk Theorem," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1662-1715.
    6. Sabrina T. Howell & Marina Niessner & David Yermack, 2018. "Initial Coin Offerings: Financing Growth with Cryptocurrency Token Sales," NBER Working Papers 24774, National Bureau of Economic Research, Inc.
    7. Marc Gronwald, 2014. "The Economics of Bitcoins - Market Characteristics and Price Jumps," CESifo Working Paper Series 5121, CESifo.
    8. Huberman, Gur & Leshno, Jacob & Moallemi, Ciamac C., 2017. "Monopoly Without a Monopolist: An Economic Analysis of the Bitcoin Payment System," CEPR Discussion Papers 12322, C.E.P.R. Discussion Papers.
    9. Lin William Cong & Ye Li & Neng Wang, 2021. "Tokenomics: Dynamic Adoption and Valuation [The demand of liquid assets with uncertain lumpy expenditures]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1105-1155.
    10. Michael D. Bordo & Andrew T. Levin, 2017. "Central Bank Digital Currency and the Future of Monetary Policy," NBER Working Papers 23711, National Bureau of Economic Research, Inc.
    11. Morten Linnemann Bech & Rodney Garratt, 2017. "Central bank cryptocurrencies," BIS Quarterly Review, Bank for International Settlements, September.
    12. repec:zbw:bofrdp:2017_027 is not listed on IDEAS
    13. Dominique Guegan & Christophe Hénot, 2018. "A Probative Value for Authentication Use Case Blockchain," Post-Print halshs-01896540, HAL.
    14. Alessandra Cretarola & Gianna Fig`a-Talamanca & Marco Patacca, 2017. "A sentiment-based model for the BitCoin: theory, estimation and option pricing," Papers 1709.08621, arXiv.org.
    15. Korniotis, George & Bhambhwani, Siddharth & Delikouras, Stefanos, 2019. "Blockchain Characteristics and the Cross-Section of Cryptocurrency Returns," CEPR Discussion Papers 13724, C.E.P.R. Discussion Papers.
    16. Alessandra Cretarola & Gianna Fig`a-Talamanca, 2017. "A confidence-based model for asset and derivative prices in the BitCoin market," Papers 1702.00215, arXiv.org.
    17. Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
    18. Adrian (Wai-Kong) Cheung & Eduardo Roca & Jen-Je Su, 2015. "Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2348-2358, May.
    19. Fry, John & Cheah, Eng-Tuck, 2016. "Negative bubbles and shocks in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 343-352.
    20. 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.
    21. Chaim, Pedro & Laurini, Márcio P., 2019. "Is Bitcoin a bubble?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 222-232.
    22. Jakub Bartos, 2015. "Does Bitcoin follow the hypothesis of efficient market?," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 4(2), pages 10-23, June.
    23. Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl & Hou, Ai Jun & Wang, Weining, 2018. "Pricing Cryptocurrency options: the case of CRIX and Bitcoin," IRTG 1792 Discussion Papers 2018-004, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    24. Dominique Guegan & Christophe Hénot, 2018. "A Probative Value for Authentication Use Case Blockchain," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01896540, HAL.
    25. Adam Hayes, 2015. "A Cost of Production Model for Bitcoin," Working Papers 1505, New School for Social Research, Department of Economics.
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    More about this item

    Keywords

    Cryptocurrency; Blockchain; Bitcoin; Economic bubbles; Peer-to-Peer; Cryptographic hashing; Consensus; Proof-of-Work; Proof-of-stake; Volatility;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • 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)
    • K24 - Law and Economics - - Regulation and Business Law - - - Cyber Law
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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