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The Market Cycles of ICOs, Bitcoin, and Ether

Author

Listed:
  • Christian Masiak
  • Joern H. Block
  • Tobias Masiak
  • Matthias Neuenkirch
  • Katja N. Pielen

Abstract

We apply time series analysis to investigate the market cycles of Initial Coin Offerings (ICOs) as well as bitcoin and Ether. Our results show that shocks to ICO volumes are persistent and that shocks in bitcoin and Ether prices have a substantial and positive effect on these volumes – with the effect of bitcoin shocks being of shorter duration than that of Ether shocks. Moreover, higher ICO volumes cause lower bitcoin and Ether prices. Finally, bitcoin shocks positively influence Ether but not the other way round. Our study has implications for financial practice, in particular for cryptocurrency investors and entrepreneurial firms conducting ICOs.

Suggested Citation

  • Christian Masiak & Joern H. Block & Tobias Masiak & Matthias Neuenkirch & Katja N. Pielen, 2018. "The Market Cycles of ICOs, Bitcoin, and Ether," Research Papers in Economics 2018-04, University of Trier, Department of Economics.
    • Handle: RePEc:trr:wpaper:201804
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    References listed on IDEAS

    as
    1. Michelle Lowry & G. William Schwert, 2002. "IPO Market Cycles: Bubbles or Sequential Learning?," Journal of Finance, American Finance Association, vol. 57(3), pages 1171-1200, June.
    2. Urquhart, Andrew, 2017. "Price clustering in Bitcoin," Economics Letters, Elsevier, vol. 159(C), pages 145-148.
    3. Lowry, Michelle, 2003. "Why does IPO volume fluctuate so much?," Journal of Financial Economics, Elsevier, vol. 67(1), pages 3-40, January.
    4. Doidge, Craig & Karolyi, G. Andrew & Stulz, René M., 2017. "The U.S. listing gap," Journal of Financial Economics, Elsevier, vol. 123(3), pages 464-487.
    5. Michelle Lowry & Micah S. Officer & G. William Schwert, 2010. "The Variability of IPO Initial Returns," Journal of Finance, American Finance Association, vol. 65(2), pages 425-465, April.
    6. Urquhart, Andrew, 2018. "What causes the attention of Bitcoin?," Economics Letters, Elsevier, vol. 166(C), pages 40-44.
    7. Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
    8. Péter Csóka & P. Jean-Jacques Herings, 2018. "Decentralized Clearing in Financial Networks," Management Science, INFORMS, vol. 64(10), pages 4681-4699, October.
    9. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    10. Lawrence M. Benveniste & Alexander Ljungqvist & William J. Wilhelm & Xiaoyun Yu, 2003. "Evidence of Information Spillovers in the Production of Investment Banking Services," Journal of Finance, American Finance Association, vol. 58(2), pages 577-608, April.
    11. 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.
    12. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    13. Brauneis, Alexander & Mestel, Roland, 2018. "Price discovery of cryptocurrencies: Bitcoin and beyond," Economics Letters, Elsevier, vol. 165(C), pages 58-61.
    14. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    15. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
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    Cited by:

    1. José Campino & Ana Brochado & Álvaro Rosa, 2021. "Initial Coin Offerings (ICOs): the importance of human capital," Journal of Business Economics, Springer, vol. 91(8), pages 1225-1262, October.
    2. Domagoj Sajter, 2019. "Time-Series Analysis Of The Most Common Cryptocurrencies," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(1), pages 267-282, june.
    3. He Huang, 2019. "How Does Information Transmission Influence the Value Creation Capability of a Digital Ecosystem? An Empirical Study of the Crypto-Digital Ecosystem Ethereum," Sustainability, MDPI, vol. 11(19), pages 1-16, September.

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    More about this item

    Keywords

    Blockchain; cryptocurrency; entrepreneurial finance; initial coin offering; bitcoin; Ether; time series analysis;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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