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An inquiry of Bitcoin price formation: Evidence from Linear and Nonlinear ARDL Frameworks, 2017-2018

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  • Clément Landormy

Abstract

This study comprehensively analyses Bitcoin’s price dynamics amidst the volatility of 2017-2018, considering various influencing factors. Drawing from Fisher’s Equation of Exchange (1911), Keynes’ liquidity preference theory (1936), and prior research insights, we formulate an Equation of Bitcoin Exchange, setting the stage for empirical testing. Employing autoregressive distributed lag models in both linear (ARDL) and nonlinear (NARDL) frameworks, we scrutinise daily data from 2017 to 2018. Our findings underscore the predominant impact of internal factors, driven by market dynamics and technological advancements, on Bitcoin prices, with investment attractiveness following closely behind. Surprisingly, macroeconomic and financial variables demonstrate relatively less influence. While Bitcoin may not serve as a direct store of value like gold or offer complete hedging against US dollar fluctuations, its potential as a diversification tool in stock markets becomes apparent, barring short-term disruptions associated with Bitcoin price crashes. Moreover, factors related to investment attractiveness frequently exert downward pressure on Bitcoin prices, emphasising the speculative nature inherent in cryptocurrencies. Noteworthy is the positive short-term connection between Bitcoin prices and tether transactions, coupled with the positive long-term interaction between Bitcoin prices and crypto fundraising efforts at the peak of the ICO boom, signalling a pre-crash surge in 2017. Conversely, the long-term negative relationship between Bitcoin prices and Tether transactions suggests that Tether acts as a hedge against Bitcoin price crashes.

Suggested Citation

  • Clément Landormy, 2024. "An inquiry of Bitcoin price formation: Evidence from Linear and Nonlinear ARDL Frameworks, 2017-2018," Working Papers of BETA 2024-31, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2024-31
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    References listed on IDEAS

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    1. Milton Friedman, 1959. "The Demand for Money: Some Theoretical and Empirical Results," NBER Chapters, in: The Demand for Money: Some Theoretical and Empirical Results, pages 1-29, National Bureau of Economic Research, Inc.
    2. David Garcia & Claudio Juan Tessone & Pavlin Mavrodiev & Nicolas Perony, 2014. "The digital traces of bubbles: feedback cycles between socio-economic signals in the Bitcoin economy," Papers 1408.1494, arXiv.org.
    3. M. Hashem Pesaran & Ron P. Smith, 1998. "Structural Analysis of Cointegrating VARs," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 471-505, December.
    4. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    5. Bouri, Elie & Gupta, Rangan & Lahiani, Amine & Shahbaz, Muhammad, 2018. "Testing for asymmetric nonlinear short- and long-run relationships between bitcoin, aggregate commodity and gold prices," Resources Policy, Elsevier, vol. 57(C), pages 224-235.
    6. repec:pra:mprapa:58133 is not listed on IDEAS
    7. Ang, James B., 2008. "What are the mechanisms linking financial development and economic growth in Malaysia," Economic Modelling, Elsevier, vol. 25(1), pages 38-53, January.
    8. Dean Fantazzini & Nikita Kolodin, 2020. "Does the Hashrate Affect the Bitcoin Price?," JRFM, MDPI, vol. 13(11), pages 1-29, October.
    9. M. Hashem Pesaran & Ron P. Smith, 1998. "Structural Analysis of Cointegrating VARs," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 471-505, December.
    10. Yao, Yi-Ching, 1988. "Estimating the number of change-points via Schwarz' criterion," Statistics & Probability Letters, Elsevier, vol. 6(3), pages 181-189, February.
    11. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
    12. Long, Shaobo & Pei, Hongxia & Tian, Hao & Lang, Kun, 2021. "Can both Bitcoin and gold serve as safe-haven assets? — A comparative analysis based on the NARDL model," International Review of Financial Analysis, Elsevier, vol. 78(C).
    13. John M. Griffin & Amin Shams, 2020. "Is Bitcoin Really Untethered?," Journal of Finance, American Finance Association, vol. 75(4), pages 1913-1964, August.
    14. Bouoiyour, Jamal & Selmi, Refk, 2014. "What Does Crypto-currency Look Like? Gaining Insight into Bitcoin Phenomenon," MPRA Paper 57907, University Library of Munich, Germany.
    15. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    16. Jareño, Francisco & González, María de la O & Tolentino, Marta & Sierra, Karen, 2020. "Bitcoin and gold price returns: A quantile regression and NARDL analysis," Resources Policy, Elsevier, vol. 67(C).
    17. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    18. Wei, Wang Chun, 2018. "The impact of Tether grants on Bitcoin," Economics Letters, Elsevier, vol. 171(C), pages 19-22.
    19. 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.
    20. Inder, Brett, 1993. "Estimating long-run relationships in economics : A comparison of different approaches," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 53-68.
    21. Baur, Dirk G. & Hoang, Lai T., 2021. "A crypto safe haven against Bitcoin," Finance Research Letters, Elsevier, vol. 38(C).
    22. Easley, David & O'Hara, Maureen & Basu, Soumya, 2019. "From mining to markets: The evolution of bitcoin transaction fees," Journal of Financial Economics, Elsevier, vol. 134(1), pages 91-109.
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    Keywords

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    JEL classification:

    • E42 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Monetary Sytsems; Standards; Regimes; Government and the Monetary System
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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