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Is Bitcoin a Commodity? On price jumps, demand shocks, and certainty of supply

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  • Gronwald, Marc

Abstract

This paper discusses how similar Bitcoin is to a commodity. The application of a number of both linear and non-linear GARCH models indicates that the role of extreme price movements is particularly pronounced. GARCH models with student-t innovations as well as combined jump-GARCH models are among the models with the best fit. The role of large movements is found to be stronger in the Bitcoin market than in the markets for crude oil and gold. As Bitcoin shares with these exhaustible resource commodities characteristics such as the fixed supply, the analysis of Bitcoin prices can generally learn from the analysis of exhaustible resource commodities. However, whereas the short-run supply of gold and oil are uncertain, there are no uncertainties on the Bitcoin supply-side. Thus, the observed movements of Bitcoin prices can be interpreted as results of Bitcoin demand shocks.

Suggested Citation

  • Gronwald, Marc, 2019. "Is Bitcoin a Commodity? On price jumps, demand shocks, and certainty of supply," Journal of International Money and Finance, Elsevier, vol. 97(C), pages 86-92.
  • Handle: RePEc:eee:jimfin:v:97:y:2019:i:c:p:86-92
    DOI: 10.1016/j.jimonfin.2019.06.006
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    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. Fernández-Villaverde, Jesús & Sanches, Daniel, 2019. "Can currency competition work?," Journal of Monetary Economics, Elsevier, vol. 106(C), pages 1-15.
    3. Cheah, Eng-Tuck & Mishra, Tapas & Parhi, Mamata & Zhang, Zhuang, 2018. "Long Memory Interdependency and Inefficiency in Bitcoin Markets," Economics Letters, Elsevier, vol. 167(C), pages 18-25.
    4. Gronwald, Marc, 2012. "A characterization of oil price behavior — Evidence from jump models," Energy Economics, Elsevier, vol. 34(5), pages 1310-1317.
    5. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2018. "Datestamping the Bitcoin and Ethereum bubbles," Finance Research Letters, Elsevier, vol. 26(C), pages 81-88.
    6. Urquhart, Andrew, 2018. "What causes the attention of Bitcoin?," Economics Letters, Elsevier, vol. 166(C), pages 40-44.
    7. Chan, Wing H & Maheu, John M, 2002. "Conditional Jump Dynamics in Stock Market Returns," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 377-389, July.
    8. Kumhof, Michael & Noone, Clare, 2018. "Central bank digital currencies - design principles and balance sheet implications," Bank of England working papers 725, Bank of England.
    9. Noelia Camara & Enestor Dos Santos & Francisco Grippa & Javier Sebastian & Fernando Soto & Cristina Varela, 2018. "Central bank digital currencies: An assessment of their adoption in Latin America," Working Papers 18/13, BBVA Bank, Economic Research Department.
    10. Khuntia, Sashikanta & Pattanayak, J.K., 2018. "Adaptive market hypothesis and evolving predictability of bitcoin," Economics Letters, Elsevier, vol. 167(C), pages 26-28.
    11. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    12. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    13. Irene Henriques & Perry Sadorsky, 2018. "Can Bitcoin Replace Gold in an Investment Portfolio?," JRFM, MDPI, vol. 11(3), pages 1-19, August.
    14. Urquhart, Andrew, 2016. "The inefficiency of Bitcoin," Economics Letters, Elsevier, vol. 148(C), pages 80-82.
    15. Ali, Robleh & Barrdear, John & Clews, Roger & Southgate, James, 2014. "The economics of digital currencies," Bank of England Quarterly Bulletin, Bank of England, vol. 54(3), pages 276-286.
    16. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    17. Nimalendran, M, 1994. "Estimating the Effects of Information Surprises and Trading on Stock Returns Using a Mixed Jump-Diffusion Model," Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 451-473.
    18. Daniel Sanches, 2016. "On the Inherent Instability of Private Money," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 20, pages 198-214, April.
    19. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    20. Daniel R. Sanches, 2018. "Bitcoin vs. the Buck: Is Currency Competition a Good Thing?," Economic Insights, Federal Reserve Bank of Philadelphia, vol. 3(2), pages 9-14, April.
    21. Walter Engert & Ben Fung, 2017. "Central Bank Digital Currency: Motivations and Implications," Discussion Papers 17-16, Bank of Canada.
    22. Philippe Jorion, 1988. "On Jump Processes in the Foreign Exchange and Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 1(4), pages 427-445.
    23. 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.
    24. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    25. Yi, Shuyue & Xu, Zishuang & Wang, Gang-Jin, 2018. "Volatility connectedness in the cryptocurrency market: Is Bitcoin a dominant cryptocurrency?," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 98-114.
    26. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    27. Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
    28. Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2018. "How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets," Economics Letters, Elsevier, vol. 171(C), pages 140-143.
    29. Phillip, Andrew & Chan, Jennifer S.K. & Peiris, Shelton, 2018. "A new look at Cryptocurrencies," Economics Letters, Elsevier, vol. 163(C), pages 6-9.
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    More about this item

    Keywords

    Bitcoins; GARCH; Price jumps; Bitcoin demand shocks; Security of supply;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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